Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Batch/gms/BatchS101006M.gms =========== ----------------------------- Fr 14. Sep 14:37:31 CEST 2012 ----------------------------- @03 1347626251 --- Job BatchS101006M.gms Start 09/14/12 14:37:31 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- BatchS101006M.gms(2453) 2 Mb --- Starting execution: elapsed 0:00:00.024 --- BatchS101006M.gms(2451) 3 Mb --- Generating MINLP model m --- BatchS101006M.gms(2453) 5 Mb --- 1,020 rows 279 columns 2,866 non-zeroes --- 131 nl-code 49 nl-non-zeroes --- 129 discrete-columns --- BatchS101006M.gms(2453) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.036 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.1_BatchS101006M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2866 elements of which 2% are non-linear(NL) included in 1020 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(1) The number of variables in NL elements are 49 from a total of 279 variables: Continuous(150), Binary(129), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=117 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (201) infeasibile 0 H 0 0 0 1 0 2 1.8E+06 NA 1 SAFG 1 1 0 1 3E+02 0 0 2.82852E+06 1 FOUND SOLUTION: 2.82852E+06 (NLP) in 1 sec. 2 SAH 1 1 0 1 1.8E+02 2 1E+13 -1E+13 3 SAFH 2 2 0 1 1.8E+02 2 4.9E+07 -4.8985E+07 4 SAFH 3 3 0 1 0 1 2.3E+05 105058 5 SAFH 4 4 0 1 88 2 8.3E+04 130386 6 SAFH 5 5 0 1 1.1E+02 2 4.5E+04 184670 7 SAFH 7 6 0 1 2E+02 2 2.2E+06 629044 8 SAFH 8 7 0 1 1.3 1 9.6E+03 2.80156E+06 9 SAFH 9 8 0 1 68 2 2.5E+03 2.81496E+06 10 SAFH 11 9 0 1 36 2 7.5E+02 2.82569E+06 11 SAFH 13 10 0 1 11 2 1.6E+02 2.82821E+06 12 SAFH 14 11 0 1 11 2 1E+02 2.82832E+06 13 SAFH 15 12 0 1 5.7 2 56 2.82834E+06 14 SAFH 17 13 0 1 10 2 53 2.82834E+06 15 SAFH 18 14 0 1 4 2 38 2.82839E+06 16 SAFH 20 15 0 1 8.3 2 21 2.82842E+06 17 SAFH 22 16 0 1 5.7 2 30 2.82846E+06 18 SAFH 23 17 0 1 3.6 2 16 2.82847E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 24 18 0 1 3.7 2 8 2.82847E+06 20 SAFH 26 19 0 1 5.3 2 7.6 2.8285E+06 21 SAFH 28 20 0 1 3 2 4 2.8285E+06 22 SAFH 30 21 0 1 2.6 2 4.2 2.8285E+06 23 SAFH 32 22 0 1 3.5 2 2.5 2.82851E+06 24 SAFH 34 23 0 1 1.3 2 1.4 2.82851E+06 25 SAFH 36 24 0 1 1.8 2 3.5 2.82851E+06 26 SAFH 37 25 0 1 1.5 2 1.4 2.82851E+06 27 SAFH 38 26 0 1 3.2 2 1.3 2.82851E+06 28 SAFH 39 27 0 1 0.78 2 1.1 2.82851E+06 29 SAFH 40 28 0 1 0.44 2 0.49 2.82851E+06 30 SAFH 42 29 0 1 0.68 2 0.41 2.82851E+06 31 SAFH 43 30 0 1 0.74 2 0.4 2.82851E+06 32 SAFH 44 31 0 1 0.57 2 0.26 2.82851E+06 33 SAFH 46 32 0 1 0.46 2 0.18 2.82851E+06 34 SAFH 48 33 0 1 0.32 2 0.14 2.82852E+06 35 SAFH 49 34 0 1 0.25 2 0.063 2.82852E+06 36 SAFH 51 35 0 1 0.26 2 0.13 2.82852E+06 37 SAFH 52 36 0 1 0.31 2 0.065 2.82852E+06 38 SAFH 54 37 0 1 0.29 2 0.045 2.82852E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 55 38 0 1 0.17 2 0.039 2.82852E+06 40 SAFH 56 39 0 1 0.08 2 0.014 2.82852E+06 41 SAFH 58 40 0 1 0.13 2 0.018 2.82852E+06 42 SAFH 59 41 0 1 0.1 2 0.014 2.82852E+06 43 SAFH 60 42 0 1 0.11 2 0.015 2.82852E+06 44 SAFH 61 43 0 1 0.075 2 0.0048 2.82852E+06 45 SAFH 63 44 0 1 0.099 2 0.0066 2.82852E+06 46 SAFH 64 45 0 1 0.066 2 0.0036 2.82852E+06 47 SAFH 65 46 0 1 0.038 2 0.0028 2.82852E+06 48 SAFH 67 47 0 1 0.038 2 0.0012 2.82852E+06 49 SAFH 69 48 0 1 0.045 2 0.0017 2.82852E+06 50 SAFH 70 49 0 1 0.026 2 0.00097 2.82852E+06 51 SAFH 71 50 0 1 0.019 2 0.0006 2.82852E+06 52 SAFH 72 51 0 1 0.38 2 0.00044 2.82852E+06 53 SAFH 73 52 0 1 0.011 2 0.0003 2.82852E+06 54 SAFH 74 53 0 1 0.027 2 0.00049 2.82852E+06 55 SAFH 75 54 0 1 0.016 2 0.00027 2.82852E+06 56 SAFH 76 55 0 1 0.008 2 0.00015 2.82852E+06 57 SAFH 77 56 0 1 0.013 2 0.00026 2.82852E+06 58 SAFH 78 57 0 1 0.014 2 0.00021 2.82852E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 79 58 0 1 0.45 2 0.0001 2.82852E+06 60 SAFH 80 59 0 1 0.0083 2 7.8E-05 2.82852E+06 61 SAFH 81 60 0 1 0.0039 2 4.5E-05 2.82852E+06 62 SAFH 82 61 0 1 0.012 2 0.00015 2.82852E+06 63 SAFH 83 62 0 1 0.1 2 5.2E-05 2.82852E+06 64 SAFH 84 63 0 1 0.0076 2 6.1E-05 2.82852E+06 65 SAFH 85 64 0 1 0.0052 2 2.5E-05 2.82852E+06 66 SAFH 86 65 0 1 0.0064 2 3.3E-05 2.82852E+06 67 SAFH 87 66 0 1 0.005 2 1.6E-05 2.82852E+06 68 SAFH 88 67 0 1 0.0024 2 8.4E-06 2.82852E+06 69 SAFH 89 68 0 1 0.0025 2 6.5E-06 2.82852E+06 70 SAFH 90 69 0 1 0.0017 2 1E-05 2.82852E+06 71 SAFH 91 70 0 1 0.003 2 6.1E-06 2.82852E+06 72 SAFH 92 71 0 1 0.0026 2 4.5E-06 2.82852E+06 73 SAFH 93 72 0 1 0.0011 2 1.8E-06 2.82852E+06 74 SAFH 94 73 0 1 0.0012 1 2.7E-06 2.82852E+06 75 SAFH 95 74 0 1 0.0019 1 2.4E-06 2.82852E+06 76 SAFJL 96 75 0 1 0.00076 0 9.3E-07 2.82852E+06 76 FOUND SOLUTION: 2.82852E+06 in 4 sec. 77 SAFH 95 74 0 0.5 1.3E+02 1 2.4E+04 1.17954E+07 78 SAFJ 96 75 0 0.5 0 0 0 1.18195E+07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFJ 96 75 0 0.3 0 0 0 1.18195E+07 80 SAFJ 96 75 0 0.2 0 0 0 1.18195E+07 81 SAFJ 96 75 0 0.1 0 0 0 1.18195E+07 82 AFG 96 75 0 0 1E+02 0 1.8E-12 769440 82 FOUND SOLUTION: 769440 (NLP) in 4 sec. 83 AFH 96 75 0 0 6.2 2 2.8E+05 477434 84 AFH 97 76 0 0 28 2 1.4E+04 751405 85 AFH 98 77 0 0 36 2 4.7E+03 753910 86 AFH 99 78 0 0 32 2 9.5E+03 753921 87 AFH 100 79 0 0 43 2 1.2E+04 755090 88 AFH 101 80 0 0 31 2 2.6E+02 755954 89 AFH 103 81 0 0 33 2 8.7E+03 760088 90 AFH 104 82 0 0 51 2 7.9E+03 760363 91 AFH 105 83 0 0 17 2 4E+03 765290 92 AFH 106 84 0 0 19 2 1.7E+03 766328 93 AFH 107 85 0 0 14 2 87 766631 94 AFH 108 86 0 0 28 2 7.4E+02 767069 95 AFH 109 87 0 0 28 2 3.9E+03 767102 96 AFH 110 88 0 0 25 2 2.7E+03 767215 97 AFH 111 89 0 0 52 2 7.7E+03 767446 98 AFG 112 90 0 0 33 0 1.2E-07 769440 98 FOUND SOLUTION: 769440 (NLP) in 16 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 112 90 0 0 1.4 2 19 767747 100 AFH 113 91 0 0 22 2 1.3E+03 768429 101 AFH 114 92 0 0 13 2 1.1E+02 768596 102 AFH 116 93 0 0 27 2 2.7E+02 769108 103 AFH 117 94 0 0 23 2 1.2E+03 769199 104 AFH 118 95 0 0 22 2 71 769298 105 AFG 119 96 0 0 0.14 0 4.8E-07 769440 105 FOUND SOLUTION: 769440 (NLP) in 23 sec. 106 AFH 119 96 0 0 1.1 2 18 769327 107 AFH 120 97 0 0 0.46 2 4.5 769337 108 AFH 121 98 0 0 0.31 2 1.4 769341 109 AFH 123 99 0 0 1.1 2 3.7 769398 110 AFH 124 100 0 0 7.9E-15 1 0.43 769401 111 AFH 125 101 0 0 0.54 2 0.39 769433 112 AFH 126 102 0 0 0.054 1 0.11 769433 113 AFH 127 103 0 0 0.33 2 0.43 769437 114 AFH 128 104 0 0 0.052 1 0.027 769438 115 AFH 129 105 0 0 0.071 2 0.11 769440 116 AFH 130 106 0 0 0.035 2 0.027 769440 117 AFH 131 107 0 0 0.018 2 0.0069 769440 118 AFH 132 108 0 0 0.0089 2 0.0017 769440 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 133 109 0 0 0.0044 2 0.00043 769440 120 AFH 134 110 0 0 0.012 2 0.0004 769440 121 AFH 135 111 0 0 0.017 2 0.0001 769440 122 AFH 136 112 0 0 0.0078 2 0.0017 769440 123 AFH 137 113 0 0 0.00056 2 2.5E-05 769440 124 AFH 138 114 0 0 0.0042 2 0.00028 769440 125 AFH 139 115 0 0 0 1 6.2E-06 769440 126 AFH 140 116 0 0 0.0018 2 7.1E-05 769440 127 AFH 141 117 0 0 0.00091 1 1.8E-05 769440 128 AFH 142 118 0 0 0.00045 1 4.4E-06 769440 129 AFH 143 119 0 0 0.00023 1 1.1E-06 769440 130 AFJ 144 120 0 0 0.73 0 5.5E-07 769440 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.1_BatchS101006M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 769440.42033594031818 Max constraint (1) : 4.8178208089666441083e-07 Alternative solution : MIP Alt. objective value : 769440.42033594031818 Max constraint (1) : 4.8178208089666441083e-07 Time used (seconds) : 46.31 Time limit (seconds) : 7200 Iterations used : 130 Iteration limit : -1 Function evaluations : 332 Gradient evaluations : 145 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 3.3 % MIP time usage : 96.7 % Optimal/total MIPs : 49/130 NLP solver calls : 130 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- BatchS101006M.gms(2453) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job BatchS101006M.gms Stop 09/14/12 14:38:18 elapsed 0:00:46.377 @04 1347626298 ----------------------------- Fr 14. Sep 14:38:18 CEST 2012 ----------------------------- =ready= Linux opt226 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Batch/gms/BatchS121208M.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job BatchS121208M.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- BatchS121208M.gms(3600) 2 Mb --- Starting execution: elapsed 0:00:00.032 --- BatchS121208M.gms(3598) 3 Mb --- Generating MINLP model m --- BatchS121208M.gms(3600) 6 Mb --- 1,512 rows 407 columns 4,256 non-zeroes --- 157 nl-code 59 nl-non-zeroes --- 203 discrete-columns --- BatchS121208M.gms(3600) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.048 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.2_BatchS121208M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4256 elements of which 1% are non-linear(NL) included in 1512 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(1) The number of variables in NL elements are 59 from a total of 407 variables: Continuous(204), Binary(203), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=172 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (289) infeasibile 0 H 0 0 0 1 0 2 2.2E+06 NA 1 SAFH 1 1 0 1 2E+02 2 1E+13 -1E+13 2 SAFH 2 2 0 1 1.3E+02 2 8.5E+06 -8.34869E+06 3 SAFH 3 3 0 1 0 1 3.2E+05 127441 4 SAFH 4 4 0 1 1.4E+02 2 1.2E+05 154629 5 SAFG 5 5 0 1 2.6E+02 0 9.1E-13 5.96907E+06 5 FOUND SOLUTION: 5.96907E+06 (NLP) in 1 sec. 6 SAH 5 5 0 1 2.8E+02 2 9.1E+05 5.00585E+06 7 SAFH 6 6 0 1 1.8 1 3.6E+04 5.91819E+06 8 SAFH 7 7 0 1 1E+02 2 1.2E+04 5.93019E+06 9 SAFH 8 8 0 1 1.1E+02 2 1E+04 5.942E+06 10 SAFH 9 9 0 1 11 2 3.2E+03 5.95231E+06 11 SAFH 10 10 0 1 58 2 1.1E+03 5.96443E+06 12 SAFH 11 11 0 1 0 1 5.3E+02 5.96553E+06 13 SAFH 12 12 0 1 17 2 1.3E+02 5.96875E+06 14 SAFH 13 13 0 1 5 2 38 5.96886E+06 15 SAFH 15 14 0 1 13 2 60 5.96891E+06 16 SAFH 16 15 0 1 2 2 17 5.96896E+06 17 SAFH 17 16 0 1 7.4 2 20 5.96902E+06 18 SAFH 18 17 0 1 2.9 2 8.5 5.96904E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 20 18 0 1 5.3 2 6.2 5.96904E+06 20 SAFH 22 19 0 1 3.3 2 5.5 5.96905E+06 21 SAFH 23 20 0 1 1.2 2 2.1 5.96906E+06 22 SAFH 25 21 0 1 2.8 2 2 5.96906E+06 23 SAFH 27 22 0 1 2 2 2.2 5.96906E+06 24 SAFH 28 23 0 1 2 2 0.81 5.96906E+06 25 SAFH 30 24 0 1 2 2 1.4 5.96907E+06 26 SAFH 31 25 0 1 0.95 2 0.36 5.96907E+06 27 SAFH 33 26 0 1 1.1 2 0.59 5.96907E+06 28 SAFH 34 27 0 1 0.62 2 0.27 5.96907E+06 29 SAFH 35 28 0 1 0.61 2 0.17 5.96907E+06 30 SAFH 37 29 0 1 0.92 2 0.29 5.96907E+06 31 SAFH 39 30 0 1 2.5 2 0.077 5.96907E+06 32 SAFH 40 31 0 1 0.69 2 0.13 5.96907E+06 33 SAFH 41 32 0 1 0.31 2 0.076 5.96907E+06 34 SAFH 42 33 0 1 0.15 2 0.038 5.96907E+06 35 SAFH 43 34 0 1 0.42 2 0.082 5.96907E+06 36 SAFH 44 35 0 1 0.17 2 0.031 5.96907E+06 37 SAFH 46 36 0 1 0.23 2 0.047 5.96907E+06 38 SAFH 47 37 0 1 0.13 2 0.015 5.96907E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 49 38 0 1 0.23 2 0.025 5.96907E+06 40 SAFH 50 39 0 1 2 2 0.012 5.96907E+06 41 SAFH 51 40 0 1 2 2 0.015 5.96907E+06 42 SAFH 52 41 0 1 0.072 2 0.0047 5.96907E+06 43 SAFH 54 42 0 1 2 2 0.006 5.96907E+06 44 SAFH 55 43 0 1 2 2 0.0034 5.96907E+06 45 SAFH 56 44 0 1 0.038 2 0.0019 5.96907E+06 46 SAFH 58 45 0 1 0.048 2 0.0017 5.96907E+06 47 SAFH 60 46 0 1 2 2 0.0015 5.96907E+06 48 SAFH 62 47 0 1 1.9 2 0.00053 5.96907E+06 49 SAFH 63 48 0 1 2 2 0.00069 5.96907E+06 50 SAFH 64 49 0 1 0.043 2 0.00056 5.96907E+06 51 SAFH 65 50 0 1 0.031 2 0.00039 5.96907E+06 52 SAFH 66 51 0 1 0.042 2 0.0005 5.96907E+06 53 SAFH 67 52 0 1 2.3 2 0.00039 5.96907E+06 54 SAFH 68 53 0 1 0.0085 2 0.00015 5.96907E+06 55 SAFH 69 54 0 1 0.023 2 0.00028 5.96907E+06 56 SAFH 70 55 0 1 0.0083 2 0.00011 5.96907E+06 57 SAFH 71 56 0 1 0.02 2 0.00013 5.96907E+06 58 SAFH 72 57 0 1 2.3 2 0.00012 5.96907E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 73 58 0 1 2.3 2 5.3E-05 5.96907E+06 60 SAFH 74 59 0 1 0.0064 2 3.2E-05 5.96907E+06 61 SAFH 75 60 0 1 0.0047 2 3.5E-05 5.96907E+06 62 SAFH 76 61 0 1 2.5 2 6E-05 5.96907E+06 63 SAFH 77 62 0 1 0.0067 2 2.7E-05 5.96907E+06 64 SAFH 78 63 0 1 0.31 2 3.4E-05 5.96907E+06 65 SAFH 79 64 0 1 0.0089 2 2.1E-05 5.96907E+06 66 SAFH 80 65 0 1 0.0094 2 5.7E-05 5.96907E+06 67 SAFH 81 66 0 1 2.2 2 1.8E-05 5.96907E+06 68 SAFH 82 67 0 1 0.0082 2 1.2E-05 5.96907E+06 69 SAFH 83 68 0 1 2.2 2 8.7E-06 5.96907E+06 70 SAFH 84 69 0 1 0.0043 2 8.6E-06 5.96907E+06 71 SAFH 85 70 0 1 0.0022 2 4.9E-06 5.96907E+06 72 SAFH 86 71 0 1 0.0026 2 5.9E-06 5.96907E+06 73 SAFH 87 72 0 1 0.004 2 6.6E-06 5.96907E+06 74 SAFH 88 73 0 1 0.0022 2 2.5E-06 5.96907E+06 75 SAFH 89 74 0 1 0.002 1 3E-06 5.96907E+06 76 SAFH 90 75 0 1 0.0017 1 1.5E-06 5.96907E+06 77 SAFJL 91 76 0 1 0.0014 0 8.3E-07 5.96907E+06 77 FOUND SOLUTION: 5.96907E+06 in 5 sec. 78 SAFG 90 75 0 0.5 1.5E+02 0 0 1.44667E+06 78 FOUND SOLUTION: 1.44667E+06 (NLP) in 5 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 90 75 0 0.5 13 2 1E+06 409577 80 SAFG 91 76 0 0.5 34 0 9.7E-07 1.41652E+06 80 FOUND SOLUTION: 1.41652E+06 (NLP) in 5 sec. 81 SAFH 91 76 0 0.5 6.1 2 6.8E+03 1.38463E+06 82 SAFH 92 77 0 0.5 15 2 1.6E+03 1.38839E+06 83 SAFH 93 78 0 0.5 4.9 2 7.5E+02 1.38876E+06 84 SAFH 94 79 0 0.5 20 2 2.5E+03 1.41314E+06 85 SAFH 95 80 0 0.5 6 2 8.1E+02 1.41321E+06 86 SAFH 96 81 0 0.5 16 2 1.2E+03 1.41328E+06 87 SAFH 97 82 0 0.5 3.7 2 3.8E+02 1.41328E+06 88 SAFH 98 83 0 0.5 12 2 2E+02 1.41331E+06 89 SAFH 100 84 0 0.5 33 2 2E+03 1.4052E+06 90 SAFH 101 85 0 0.5 4.7 2 5.3E+02 1.40664E+06 91 SAFH 102 86 0 0.5 10 2 1.4E+02 1.4069E+06 92 SAFH 103 87 0 0.5 1.3 2 64 1.40703E+06 93 SAFH 105 88 0 0.5 17 2 4.5E+02 1.41341E+06 94 SAFH 106 89 0 0.5 2.4 2 1.5E+02 1.41381E+06 95 SAFH 107 90 0 0.5 1.5 2 38 1.41383E+06 96 SAFH 108 91 0 0.5 9.9 2 18 1.41384E+06 97 SAFH 110 92 0 0.5 3.9 2 5.9E+02 1.41519E+06 98 SAFH 111 93 0 0.5 2.8 2 1.1E+02 1.4157E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 112 94 0 0.5 9.9 2 35 1.41571E+06 100 SAFH 113 95 0 0.5 1 2 23 1.41572E+06 101 SAFH 114 96 0 0.5 0.7 2 9.4 1.41573E+06 102 SAFH 116 97 0 0.5 11 2 2E+02 1.41607E+06 103 SAFH 117 98 0 0.5 2 2 82 1.4162E+06 104 SAFH 118 99 0 0.5 0.98 2 21 1.41623E+06 105 SAFH 119 100 0 0.5 0.47 2 5.2 1.41625E+06 106 SAFH 120 101 0 0.5 8.9 2 2 1.41625E+06 107 SAFH 122 102 0 0.5 11 2 1.3E+02 1.41632E+06 108 SAFH 123 103 0 0.5 1.8 2 49 1.41635E+06 109 SAFH 124 104 0 0.5 1.2 2 31 1.41639E+06 110 SAFH 125 105 0 0.5 9.2 2 7.8 1.4164E+06 111 SAFH 126 106 0 0.5 8.8 2 2 1.4164E+06 112 SAFH 127 107 0 0.5 8.7 2 0.61 1.4164E+06 113 SAFH 129 108 0 0.5 9.8 2 17 1.41649E+06 114 SAFH 130 109 0 0.5 0.97 2 7.4 1.4165E+06 115 SAFH 131 110 0 0.5 0.64 2 4.4 1.4165E+06 116 SAFH 132 111 0 0.5 0.34 2 1.9 1.41651E+06 117 SAFH 133 112 0 0.5 0.46 2 1.1 1.41651E+06 118 SAFH 134 113 0 0.5 0.14 2 0.49 1.41651E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 135 114 0 0.5 0.34 2 0.84 1.41651E+06 120 SAFH 136 115 0 0.5 0.49 2 0.25 1.41651E+06 121 SAFH 138 116 0 0.5 9.1 2 1.5 1.41651E+06 122 SAFH 139 117 0 0.5 9.2 2 0.4 1.41651E+06 123 SAFH 140 118 0 0.5 0.086 2 0.14 1.41651E+06 124 SAFH 141 119 0 0.5 8.5 2 0.038 1.41651E+06 125 SAFH 143 120 0 0.5 8.6 2 1.1 1.41651E+06 126 SAFH 144 121 0 0.5 0.17 2 0.56 1.41651E+06 127 SAFH 145 122 0 0.5 0.086 2 0.14 1.41652E+06 128 SAFH 146 123 0 0.5 0.043 2 0.035 1.41652E+06 129 SAFH 147 124 0 0.5 8.5 2 0.01 1.41652E+06 130 SAFH 149 125 0 0.5 8.7 2 0.28 1.41652E+06 131 SAFH 150 126 0 0.5 0.093 2 0.18 1.41652E+06 132 SAFH 151 127 0 0.5 0.047 2 0.046 1.41652E+06 133 SAFH 152 128 0 0.5 0.023 2 0.011 1.41652E+06 134 SAFH 153 129 0 0.5 8.7 2 0.0029 1.41652E+06 135 SAFH 155 130 0 0.5 8.8 2 0.28 1.41652E+06 136 SAFH 156 131 0 0.5 0.061 2 0.095 1.41652E+06 137 SAFH 157 132 0 0.5 8.7 2 0.057 1.41652E+06 138 SAFH 158 133 0 0.5 8.7 2 0.014 1.41652E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 159 134 0 0.5 0.012 2 0.0036 1.41652E+06 140 SAFH 160 135 0 0.5 8.7 2 0.00094 1.41652E+06 141 SAFH 161 136 0 0.5 8.7 2 0.019 1.41652E+06 142 SAFH 162 137 0 0.5 0.02 2 0.0093 1.41652E+06 143 SAFH 163 138 0 0.5 0.0098 2 0.0023 1.41652E+06 144 SAFH 164 139 0 0.5 0.0049 2 0.00058 1.41652E+06 145 SAFH 165 140 0 0.5 8.7 2 0.00028 1.41652E+06 146 SAFH 166 141 0 0.5 8.7 2 0.025 1.41652E+06 147 SAFH 167 142 0 0.5 8.7 2 0.0077 1.41652E+06 148 SAFH 168 143 0 0.5 0.014 2 0.0063 1.41652E+06 149 SAFH 169 144 0 0.5 8.7 2 0.0023 1.41652E+06 150 SAFH 170 145 0 0.5 0.0089 2 0.0019 1.41652E+06 151 SAFH 171 146 0 0.5 0.0055 2 0.00067 1.41652E+06 152 SAFH 172 147 0 0.5 0.0044 2 0.00055 1.41652E+06 153 SAFH 173 148 0 0.5 0.0027 2 0.0002 1.41652E+06 154 SAFH 174 149 0 0.5 0.0026 2 0.00016 1.41652E+06 155 SAFH 175 150 0 0.5 8.7 2 0.00015 1.41652E+06 156 SAFH 176 151 0 0.5 8.7 2 0.0051 1.41652E+06 157 SAFH 177 152 0 0.5 0.47 2 0.0013 1.41652E+06 158 SAFH 178 153 0 0.5 0.0039 2 0.00033 1.41652E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 179 154 0 0.5 0.002 2 9.1E-05 1.41652E+06 160 SAFH 180 155 0 0.5 8.4 2 3.7E-05 1.41652E+06 161 SAFH 181 156 0 0.5 8.5 2 0.00086 1.41652E+06 162 SAFH 182 157 0 0.5 8.5 2 0.00067 1.41652E+06 163 SAFH 183 158 0 0.5 8.4 2 0.00018 1.41652E+06 164 SAFH 184 159 0 0.5 0.0015 2 4.7E-05 1.41652E+06 165 SAFH 185 160 0 0.5 0.00073 2 1.2E-05 1.41652E+06 166 SAFH 186 161 0 0.5 8.4 2 9.2E-06 1.41652E+06 167 SAFH 187 162 0 0.5 8.4 2 0.00022 1.41652E+06 168 SAFH 188 163 0 0.5 8.4 2 0.00012 1.41652E+06 169 SAFH 189 164 0 0.5 8.4 2 3E-05 1.41652E+06 170 SAFH 190 165 0 0.5 0.00058 2 7.6E-06 1.41652E+06 171 SAFH 191 166 0 0.5 8.4 2 2.3E-06 1.41652E+06 172 SAFH 192 167 0 0.5 8.4 1 6.7E-05 1.41652E+06 173 SAFH 193 168 0 0.5 0.00081 1 1.7E-05 1.41652E+06 174 SAFH 194 169 0 0.5 0.00081 1 1.8E-05 1.41652E+06 175 SAFH 195 170 0 0.5 0.00055 1 5.8E-06 1.41652E+06 176 SAFH 196 171 0 0.5 0.00049 1 4.6E-06 1.41652E+06 177 SAFH 197 172 0 0.5 0.00027 1 1.7E-06 1.41652E+06 178 SAFH 198 173 0 0.5 0.00037 1 3.2E-06 1.41652E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFJ 199 174 0 0.5 0.00022 0 9.2E-07 1.41652E+06 180 SAFJ 199 174 0 0.3 0 0 9.2E-07 1.41652E+06 181 SAFJ 199 174 0 0.2 0 0 9.2E-07 1.41652E+06 182 SAFJ 199 174 0 0.1 0 0 9.2E-07 1.41652E+06 183 AFH 199 174 0 0 93 2 3.6E+04 1.20223E+06 184 AFG 200 175 0 0 38 0 9.1E-13 1.26157E+06 184 FOUND SOLUTION: 1.26157E+06 (NLP) in 22 sec. 185 AFH 200 175 0 0 3.5 2 1.4E+04 1.23151E+06 186 AFG 201 176 0 0 42 0 2.1E-10 1.24859E+06 186 FOUND SOLUTION: 1.24859E+06 (NLP) in 33 sec. 187 AFH 201 176 0 0 3.8 2 7E+03 1.23384E+06 188 AFG 202 177 0 0 19 0 7E-08 1.24113E+06 188 FOUND SOLUTION: 1.24113E+06 (NLP) in 52 sec. 189 AFH 202 177 0 0 2.4 2 3.5E+03 1.23396E+06 190 AFH 203 178 0 0 2.2 2 1.1E+02 1.23665E+06 191 AFH 204 179 0 0 0.72 1 28 1.23676E+06 192 AFH 205 180 0 0 29 2 5.7E+03 1.23803E+06 193 AFH 206 181 0 0 27 2 4.1E+02 1.24066E+06 194 AFH 207 182 0 0 2.3 2 1.7E+02 1.24081E+06 195 AFH 208 183 0 0 1.2 2 49 1.24094E+06 196 AFG 209 184 0 0 1.8 0 4E-07 1.24113E+06 196 FOUND SOLUTION: 1.24113E+06 (NLP) in 116 sec. 197 AFH 209 184 0 0 1.3 2 80 1.24094E+06 198 AFG 210 185 0 0 2 0 5.8E-07 1.24113E+06 198 FOUND SOLUTION: 1.24113E+06 (NLP) in 130 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 210 185 0 0 1 2 23 1.24095E+06 200 AFH 211 186 0 0 1.2 2 12 1.24096E+06 201 AFH 212 187 0 0 1.1 2 5.9 1.24096E+06 202 AFH 213 188 0 0 0.98 2 3.1 1.24097E+06 203 AFH 215 189 0 0 1.2 2 40 1.24098E+06 204 AFH 216 190 0 0 0.65 2 15 1.24102E+06 205 AFH 217 191 0 0 0.32 2 3.7 1.24102E+06 206 AFH 218 192 0 0 0.16 2 0.92 1.24102E+06 207 AFH 220 193 0 0 1.1 2 33 1.24109E+06 208 AFH 221 194 0 0 0.66 2 17 1.2411E+06 209 AFH 222 195 0 0 0.51 2 8.3 1.24111E+06 210 AFH 223 196 0 0 0.37 2 4.3 1.24111E+06 211 AFH 224 197 0 0 0.25 2 2.1 1.24111E+06 212 AFH 225 198 0 0 0.16 2 1.1 1.24111E+06 213 AFH 226 199 0 0 0.13 2 0.52 1.24111E+06 214 AFH 227 200 0 0 0.083 2 0.27 1.24111E+06 215 AFH 229 201 0 0 0.39 2 2.7 1.24112E+06 216 AFH 230 202 0 0 0.19 2 1.5 1.24112E+06 217 AFH 231 203 0 0 0.094 2 0.36 1.24112E+06 218 AFH 232 204 0 0 0.047 2 0.091 1.24112E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 234 205 0 0 0.31 2 1.8 1.24112E+06 220 AFH 235 206 0 0 0.43 2 0.47 1.24112E+06 221 AFH 236 207 0 0 0.065 2 0.14 1.24112E+06 222 AFH 237 208 0 0 0.37 2 0.095 1.24112E+06 223 AFH 238 209 0 0 0.03 2 0.024 1.24112E+06 224 AFH 240 210 0 0 0.19 2 1 1.24112E+06 225 AFH 241 211 0 0 0.1 2 0.35 1.24112E+06 226 AFH 242 212 0 0 0.079 2 0.2 1.24112E+06 227 AFH 243 213 0 0 0.04 2 0.049 1.24112E+06 228 AFH 244 214 0 0 0.087 2 0.012 1.24112E+06 229 AFH 245 215 0 0 0.0099 2 0.0045 1.24112E+06 230 AFH 247 216 0 0 0.1 2 0.11 1.24113E+06 231 AFH 248 217 0 0 0.04 2 0.05 1.24113E+06 232 AFH 249 218 0 0 0.026 2 0.026 1.24113E+06 233 AFH 250 219 0 0 0.02 2 0.012 1.24113E+06 234 AFH 251 220 0 0 0.015 2 0.0066 1.24113E+06 235 AFH 252 221 0 0 0.0097 2 0.0031 1.24113E+06 236 AFH 254 222 0 0 0.043 2 0.038 1.24113E+06 237 AFH 255 223 0 0 0.016 2 0.0098 1.24113E+06 238 AFH 256 224 0 0 0.0079 2 0.0025 1.24113E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 257 225 0 0 0.004 2 0.00061 1.24113E+06 240 AFH 258 226 0 0 0.002 2 0.00056 1.24113E+06 241 AFH 259 227 0 0 0.033 2 0.017 1.24113E+06 242 AFH 260 228 0 0 0.074 2 0.0057 1.24113E+06 243 AFH 261 229 0 0 0.011 2 0.0059 1.24113E+06 244 AFH 262 230 0 0 0.0056 2 0.0015 1.24113E+06 245 AFH 263 231 0 0 0.0028 2 0.00037 1.24113E+06 246 AFH 264 232 0 0 0.0014 2 0.00015 1.24113E+06 247 AFH 265 233 0 0 0.01 2 0.0033 1.24113E+06 248 AFH 266 234 0 0 0.0073 2 0.0023 1.24113E+06 249 AFH 267 235 0 0 0.0036 2 0.00057 1.24113E+06 250 AFH 268 236 0 0 0.0018 2 0.00014 1.24113E+06 251 AFH 269 237 0 0 0.00091 2 4.7E-05 1.24113E+06 252 AFH 270 238 0 0 0.34 2 0.0025 1.24113E+06 253 AFH 271 239 0 0 0.33 2 0.00084 1.24113E+06 254 AFH 272 240 0 0 0.0026 2 0.00021 1.24113E+06 255 AFH 273 241 0 0 0.0013 2 5.2E-05 1.24113E+06 256 AFH 274 242 0 0 0.00065 2 2.9E-05 1.24113E+06 257 AFH 275 243 0 0 0.0049 2 0.00035 1.24113E+06 258 AFH 276 244 0 0 0.33 2 0.00011 1.24113E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 277 245 0 0 0.33 2 2.8E-05 1.24113E+06 260 AFH 278 246 0 0 0.00049 2 7.5E-06 1.24113E+06 261 AFH 279 247 0 0 0.002 2 0.00015 1.24113E+06 262 AFH 280 248 0 0 0.0012 2 4.4E-05 1.24113E+06 263 AFH 281 249 0 0 0.00068 2 1.5E-05 1.24113E+06 264 AFH 282 250 0 0 0.00034 2 3.6E-06 1.24113E+06 265 AFH 283 251 0 0 0.00017 1 2.1E-06 1.24113E+06 266 AFH 284 252 0 0 0.0012 1 4.2E-05 1.24113E+06 267 AFH 285 253 0 0 0.00082 1 2.2E-05 1.24113E+06 268 AFH 286 254 0 0 0.00041 1 5.6E-06 1.24113E+06 269 AFH 287 255 0 0 0.0002 1 1.4E-06 1.24113E+06 270 AFJ 288 256 0 0 0.0001 0 5.1E-07 1.24113E+06 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.2_BatchS121208M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1241125.513921972597 Max constraint (1) : 5.7626493799034506083e-07 Alternative solution : MIP Alt. objective value : 1241125.513921972597 Max constraint (1) : 5.7626493799034506083e-07 Time used (seconds) : 887.08 Time limit (seconds) : 7200 Iterations used : 270 Iteration limit : -1 Function evaluations : 1196 Gradient evaluations : 289 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 88/270 NLP solver calls : 270 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- BatchS121208M.gms(3600) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job BatchS121208M.gms Stop 09/14/12 14:52:19 elapsed 0:14:47.777 @04 1347627139 ----------------------------- Fr 14. Sep 14:52:19 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Batch/gms/BatchS151208M.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job BatchS151208M.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- BatchS151208M.gms(4241) 2 Mb --- Starting execution: elapsed 0:00:00.038 --- BatchS151208M.gms(4239) 3 Mb --- Generating MINLP model m --- BatchS151208M.gms(4241) 6 Mb --- 1,782 rows 446 columns 5,069 non-zeroes --- 166 nl-code 62 nl-non-zeroes --- 203 discrete-columns --- BatchS151208M.gms(4241) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.057 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.3_BatchS151208M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 5069 elements of which 1% are non-linear(NL) included in 1782 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(1) The number of variables in NL elements are 62 from a total of 446 variables: Continuous(243), Binary(203), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=203 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (361) infeasibile 0 H 0 0 0 1 0 2 2.9E+06 NA 1 SAFH 1 1 0 1 2.1E+02 2 1E+13 -1E+13 2 SAFH 2 2 0 1 1.3E+02 2 8.5E+06 -8.34869E+06 3 SAFH 3 3 0 1 0 1 4.4E+05 127441 4 SAFG 4 4 0 1 5.3E+02 0 9.1E-13 5.97959E+06 4 FOUND SOLUTION: 5.97959E+06 (NLP) in 1 sec. 5 SAH 4 4 0 1 4E+02 2 9.1E+05 5.00585E+06 6 SAFH 5 5 0 1 6.5 1 5E+04 5.91819E+06 7 SAFH 6 6 0 1 1.2E+02 2 1.7E+04 5.92951E+06 8 SAFH 7 7 0 1 1.5E+02 2 1.1E+04 5.94271E+06 9 SAFH 8 8 0 1 14 2 5.2E+03 5.95366E+06 10 SAFH 9 9 0 1 94 2 2.1E+03 5.97004E+06 11 SAFH 10 10 0 1 16 2 1.1E+03 5.97213E+06 12 SAFH 11 11 0 1 35 2 2.7E+02 5.97853E+06 13 SAFH 12 12 0 1 7.6 2 1.1E+02 5.97877E+06 14 SAFH 13 13 0 1 18 2 1.1E+02 5.97944E+06 15 SAFH 14 14 0 1 12 2 62 5.97946E+06 16 SAFH 15 15 0 1 12 2 46 5.97947E+06 17 SAFH 16 16 0 1 6.3 2 23 5.97949E+06 18 SAFH 18 17 0 1 11 2 32 5.97951E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 19 18 0 1 5.4 2 13 5.97952E+06 20 SAFH 21 19 0 1 6.4 2 16 5.97957E+06 21 SAFH 22 20 0 1 5.1 2 11 5.97957E+06 22 SAFH 23 21 0 1 3.8 2 4.5 5.97958E+06 23 SAFH 24 22 0 1 2.7 2 3.4 5.97958E+06 24 SAFH 26 23 0 1 4.9 2 6.2 5.97958E+06 25 SAFH 27 24 0 1 2.4 2 3.1 5.97958E+06 26 SAFH 28 25 0 1 2 2 2.4 5.97958E+06 27 SAFH 30 26 0 1 2.2 2 0.83 5.97958E+06 28 SAFH 31 27 0 1 1.8 2 1.5 5.97958E+06 29 SAFH 32 28 0 1 2.1 2 1.6 5.97958E+06 30 SAFH 33 29 0 1 1.4 2 1 5.97958E+06 31 SAFH 35 30 0 1 1.2 2 0.84 5.97959E+06 32 SAFH 36 31 0 1 1.4 2 0.29 5.97959E+06 33 SAFH 38 32 0 1 1.3 2 0.25 5.97959E+06 34 SAFH 40 33 0 1 1.4 2 0.32 5.97959E+06 35 SAFH 41 34 0 1 0.49 2 0.09 5.97959E+06 36 SAFH 43 35 0 1 3.7 2 0.24 5.97959E+06 37 SAFH 44 36 0 1 1 2 0.17 5.97959E+06 38 SAFH 45 37 0 1 0.52 2 0.098 5.97959E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 47 38 0 1 0.67 2 0.084 5.97959E+06 40 SAFH 49 39 0 1 0.38 2 0.076 5.97959E+06 41 SAFH 50 40 0 1 0.25 2 0.024 5.97959E+06 42 SAFH 52 41 0 1 0.42 2 0.069 5.97959E+06 43 SAFH 53 42 0 1 0.41 2 0.063 5.97959E+06 44 SAFH 54 43 0 1 1.9 2 0.026 5.97959E+06 45 SAFH 56 44 0 1 0.26 2 0.031 5.97959E+06 46 SAFH 57 45 0 1 0.27 2 0.024 5.97959E+06 47 SAFH 58 46 0 1 0.2 2 0.023 5.97959E+06 48 SAFH 59 47 0 1 0.15 2 0.0079 5.97959E+06 49 SAFH 61 48 0 1 0.49 2 0.018 5.97959E+06 50 SAFH 62 49 0 1 0.21 2 0.016 5.97959E+06 51 SAFH 64 50 0 1 0.16 2 0.0093 5.97959E+06 52 SAFH 65 51 0 1 1.3 2 0.0037 5.97959E+06 53 SAFH 67 52 0 1 0.15 2 0.0076 5.97959E+06 54 SAFH 68 53 0 1 0.11 2 0.005 5.97959E+06 55 SAFH 69 54 0 1 0.97 2 0.0042 5.97959E+06 56 SAFH 70 55 0 1 0.085 2 0.0022 5.97959E+06 57 SAFH 72 56 0 1 1.3 2 0.0054 5.97959E+06 58 SAFH 73 57 0 1 0.065 2 0.0022 5.97959E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 74 58 0 1 0.066 2 0.0019 5.97959E+06 60 SAFH 76 59 0 1 0.22 2 0.0029 5.97959E+06 61 SAFH 78 60 0 1 0.18 2 0.0008 5.97959E+06 62 SAFH 79 61 0 1 0.028 2 0.0007 5.97959E+06 63 SAFH 80 62 0 1 0.088 2 0.0029 5.97959E+06 64 SAFH 81 63 0 1 0.048 2 0.001 5.97959E+06 65 SAFH 82 64 0 1 0.062 2 0.0015 5.97959E+06 66 SAFH 83 65 0 1 0.042 2 0.0006 5.97959E+06 67 SAFH 84 66 0 1 0.033 2 0.00039 5.97959E+06 68 SAFH 85 67 0 1 0.026 2 0.00042 5.97959E+06 69 SAFH 86 68 0 1 0.055 2 0.00081 5.97959E+06 70 SAFH 87 69 0 1 0.028 2 0.00039 5.97959E+06 71 SAFH 88 70 0 1 0.22 2 0.00036 5.97959E+06 72 SAFH 89 71 0 1 0.024 2 0.00028 5.97959E+06 73 SAFH 90 72 0 1 0.012 2 0.0002 5.97959E+06 74 SAFH 91 73 0 1 0.074 2 0.0017 5.97959E+06 75 SAFH 92 74 0 1 0.026 2 0.00053 5.97959E+06 76 SAFH 93 75 0 1 0.018 2 0.00028 5.97959E+06 77 SAFH 94 76 0 1 0.021 2 0.00025 5.97959E+06 78 SAFH 95 77 0 1 0.016 2 0.0002 5.97959E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 96 78 0 1 0.028 2 0.0002 5.97959E+06 80 SAFH 97 79 0 1 0.017 2 0.00016 5.97959E+06 81 SAFH 98 80 0 1 0.018 2 0.00015 5.97959E+06 82 SAFH 99 81 0 1 0.23 2 6.7E-05 5.97959E+06 83 SAFH 100 82 0 1 0.018 2 0.00026 5.97959E+06 84 SAFH 101 83 0 1 0.62 2 8.2E-05 5.97959E+06 85 SAFH 102 84 0 1 0.02 2 9.5E-05 5.97959E+06 86 SAFH 103 85 0 1 0.012 2 5.8E-05 5.97959E+06 87 SAFH 104 86 0 1 0.018 2 9.5E-05 5.97959E+06 88 SAFH 105 87 0 1 0.0096 2 5.4E-05 5.97959E+06 89 SAFH 106 88 0 1 0.48 2 3.4E-05 5.97959E+06 90 SAFH 107 89 0 1 0.0084 2 3.5E-05 5.97959E+06 91 SAFH 108 90 0 1 0.006 2 2.3E-05 5.97959E+06 92 SAFH 109 91 0 1 0.0094 2 7.7E-05 5.97959E+06 93 SAFH 110 92 0 1 0.0098 2 3.7E-05 5.97959E+06 94 SAFH 111 93 0 1 0.62 2 3.3E-05 5.97959E+06 95 SAFH 112 94 0 1 1.2 2 4.3E-05 5.97959E+06 96 SAFH 113 95 0 1 0.0063 2 1.5E-05 5.97959E+06 97 SAFH 114 96 0 1 0.0067 2 1.6E-05 5.97959E+06 98 SAFH 115 97 0 1 0.0045 2 8.2E-06 5.97959E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 116 98 0 1 0.0041 2 9.6E-06 5.97959E+06 100 SAFH 117 99 0 1 0.0058 2 2E-05 5.97959E+06 101 SAFH 118 100 0 1 0.0046 2 9.7E-06 5.97959E+06 102 SAFH 119 101 0 1 0.0045 2 7.3E-06 5.97959E+06 103 SAFH 120 102 0 1 0.0032 2 4.2E-06 5.97959E+06 104 SAFH 121 103 0 1 0.63 2 5.8E-06 5.97959E+06 105 SAFH 122 104 0 1 0.63 2 2.6E-06 5.97959E+06 106 SAFH 123 105 0 1 0.63 2 8.3E-06 5.97959E+06 107 SAFH 124 106 0 1 0.0034 1 4.4E-06 5.97959E+06 108 SAFH 125 107 0 1 0.0038 2 6.2E-06 5.97959E+06 109 SAFH 126 108 0 1 0.003 2 2.7E-06 5.97959E+06 110 SAFH 127 109 0 1 0.0045 2 6E-06 5.97959E+06 111 SAFH 128 110 0 1 0.0025 2 2.2E-06 5.97959E+06 112 SAFH 129 111 0 1 0.003 2 2.9E-06 5.97959E+06 113 SAFH 130 112 0 1 0.0016 1 1E-06 5.97959E+06 114 SAFH 131 113 0 1 0.44 2 1.2E-06 5.97959E+06 115 SAFH 132 114 0 1 0.44 1 1.1E-06 5.97959E+06 116 SAFH 133 115 0 1 0.7 1 1.2E-06 5.97959E+06 117 SAFH 134 116 0 1 0.0022 1 1.9E-06 5.97959E+06 118 SAFJL 135 117 0 1 0.7 0 7.6E-07 5.97959E+06 118 FOUND SOLUTION: 5.97959E+06 in 8 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFG 134 116 0 0.5 1.9E+02 0 2.1E-10 1.60904E+06 119 FOUND SOLUTION: 1.60904E+06 (NLP) in 8 sec. 120 SAFH 134 116 0 0.5 5.2 2 9.2E+05 669162 121 SAFH 135 117 0 0.5 2.3 2 1.6E+02 1.58721E+06 122 SAFH 137 118 0 0.5 19 2 7.2E+02 1.60679E+06 123 SAFH 138 119 0 0.5 15 1 5.1 1.60752E+06 124 SAFG 139 120 0 0.5 15 0 4E-09 1.60904E+06 124 FOUND SOLUTION: 1.60904E+06 (NLP) in 8 sec. 125 SAFH 139 120 0 0.5 1.1 2 71 1.60893E+06 126 SAFH 140 121 0 0.5 0.98 2 37 1.60897E+06 127 SAFH 141 122 0 0.5 15 2 9.2 1.60899E+06 128 SAFH 142 123 0 0.5 0.21 2 2.3 1.609E+06 129 SAFH 143 124 0 0.5 0.1 2 0.57 1.609E+06 130 SAFH 144 125 0 0.5 14 2 0.27 1.609E+06 131 SAFH 146 126 0 0.5 15 2 11 1.60901E+06 132 SAFH 147 127 0 0.5 0.95 2 4 1.60902E+06 133 SAFH 148 128 0 0.5 14 2 1 1.60902E+06 134 SAFH 149 129 0 0.5 14 2 0.25 1.60902E+06 135 SAFH 150 130 0 0.5 14 2 0.076 1.60902E+06 136 SAFG 152 131 0 0.5 0.16 0 1.6E-07 1.60904E+06 136 FOUND SOLUTION: 1.60904E+06 (NLP) in 9 sec. 137 SAFH 152 131 0 0.5 0.34 2 3.1 1.60904E+06 138 SAFH 153 132 0 0.5 14 2 0.95 1.60904E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 154 133 0 0.5 14 2 0.64 1.60904E+06 140 SAFH 155 134 0 0.5 13 2 0.16 1.60904E+06 141 SAFH 156 135 0 0.5 0.037 2 0.04 1.60904E+06 142 SAFH 157 136 0 0.5 13 2 0.012 1.60904E+06 143 SAFH 159 137 0 0.5 14 2 0.6 1.60904E+06 144 SAFH 160 138 0 0.5 0.074 2 0.15 1.60904E+06 145 SAFH 161 139 0 0.5 14 2 0.038 1.60904E+06 146 SAFH 162 140 0 0.5 0.018 2 0.0096 1.60904E+06 147 SAFH 163 141 0 0.5 12 2 0.0031 1.60904E+06 148 SAFH 165 142 0 0.5 13 2 0.077 1.60904E+06 149 SAFH 166 143 0 0.5 0.03 2 0.02 1.60904E+06 150 SAFH 167 144 0 0.5 0.016 2 0.0056 1.60904E+06 151 SAFH 168 145 0 0.5 0.011 2 0.0025 1.60904E+06 152 SAFH 169 146 0 0.5 14 2 0.026 1.60904E+06 153 SAFH 170 147 0 0.5 0.051 2 0.0068 1.60904E+06 154 SAFH 171 148 0 0.5 14 2 0.0019 1.60904E+06 155 SAFH 172 149 0 0.5 0.0054 2 0.00069 1.60904E+06 156 SAFH 173 150 0 0.5 0.0078 2 0.0014 1.60904E+06 157 SAFH 174 151 0 0.5 0.0042 2 0.00041 1.60904E+06 158 SAFH 175 152 0 0.5 0.0028 2 0.00018 1.60904E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 176 153 0 0.5 0.0021 2 0.0001 1.60904E+06 160 SAFH 177 154 0 0.5 14 2 4.5E-05 1.60904E+06 161 SAFH 178 155 0 0.5 14 2 3.7E-05 1.60904E+06 162 SAFH 179 156 0 0.5 0.011 2 0.00092 1.60904E+06 163 SAFH 180 157 0 0.5 0.0034 2 0.00025 1.60904E+06 164 SAFH 181 158 0 0.5 0.002 2 9.1E-05 1.60904E+06 165 SAFH 182 159 0 0.5 0.0026 2 0.00015 1.60904E+06 166 SAFH 183 160 0 0.5 0.0013 2 3.8E-05 1.60904E+06 167 SAFH 184 161 0 0.5 0.00065 2 9.5E-06 1.60904E+06 168 SAFH 185 162 0 0.5 13 2 9.1E-06 1.60904E+06 169 SAFH 186 163 0 0.5 13 2 0.0004 1.60904E+06 170 SAFH 187 164 0 0.5 0.0051 2 0.00057 1.60904E+06 171 SAFH 188 165 0 0.5 13 2 0.00014 1.60904E+06 172 SAFH 189 166 0 0.5 0.0012 2 3.6E-05 1.60904E+06 173 SAFH 190 167 0 0.5 0.00062 2 8.9E-06 1.60904E+06 174 SAFH 191 168 0 0.5 13 2 2.3E-06 1.60904E+06 175 SAFH 192 169 0 0.5 13 1 0.0001 1.60904E+06 176 SAFH 193 170 0 0.5 13 2 0.00012 1.60904E+06 177 SAFH 194 171 0 0.5 14 1 2.9E-05 1.60904E+06 178 SAFH 195 172 0 0.5 0.00056 1 7.3E-06 1.60904E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 196 173 0 0.5 14 1 1.8E-06 1.60904E+06 180 SAFJ 197 174 0 0.5 0.00014 0 5.8E-07 1.60904E+06 180 FOUND SOLUTION: 1.60904E+06 in 12 sec. 181 SAFJ 197 174 0 0.3 0 0 5.8E-07 1.60904E+06 182 SAFJ 197 174 0 0.2 0 0 5.8E-07 1.60904E+06 183 SAFJ 197 174 0 0.1 0 0 5.8E-07 1.60904E+06 184 AFG 197 174 0 0 57 0 0 1.54347E+06 184 FOUND SOLUTION: 1.54347E+06 (NLP) in 17 sec. 185 AFH 197 174 0 0 2.2 2 1.1E+04 1.52656E+06 186 AFH 198 175 0 0 44 2 9.1E+03 1.53241E+06 187 AFH 199 176 0 0 24 2 4.1E+03 1.53603E+06 188 AFH 200 177 0 0 35 2 82 1.53764E+06 189 AFH 201 178 0 0 0.89 2 27 1.53767E+06 190 AFH 203 179 0 0 21 2 4.1E+03 1.5379E+06 191 AFH 204 180 0 0 24 2 4.2E+03 1.5392E+06 192 AFH 205 181 0 0 22 2 3.3E+03 1.53944E+06 193 AFH 206 182 0 0 41 2 3E+03 1.54005E+06 194 AFH 207 183 0 0 27 2 45 1.54016E+06 195 AFH 209 184 0 0 41 2 1.5E+03 1.54046E+06 196 AFH 210 185 0 0 6.2 2 6.7E+02 1.54128E+06 197 AFH 211 186 0 0 3.5 2 2.3E+02 1.54145E+06 198 AFH 212 187 0 0 3.5 2 3.4E+02 1.54153E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 213 188 0 0 2 2 1E+02 1.54158E+06 200 AFH 214 189 0 0 0.76 2 26 1.54162E+06 201 AFH 215 190 0 0 0.37 2 13 1.54165E+06 202 AFH 217 191 0 0 40 2 3E+03 1.54214E+06 203 AFH 218 192 0 0 36 2 17 1.54304E+06 204 AFH 219 193 0 0 1.7E-13 1 6 1.54305E+06 205 AFH 220 194 0 0 24 2 3.3E+02 1.54307E+06 206 AFH 221 195 0 0 56 2 9.9E+02 1.5432E+06 207 AFH 222 196 0 0 29 2 2.2E+03 1.54324E+06 208 AFH 223 197 0 0 28 2 4.9E+02 1.5433E+06 209 AFH 224 198 0 0 2 2 1.9E+02 1.54333E+06 210 AFH 225 199 0 0 2.9 2 84 1.54336E+06 211 AFH 226 200 0 0 1.2 2 60 1.54337E+06 212 AFH 227 201 0 0 0.76 2 30 1.54338E+06 213 AFH 228 202 0 0 24 2 9.9 1.54339E+06 214 AFG 229 203 0 0 24 0 1.6E-08 1.54347E+06 214 FOUND SOLUTION: 1.54347E+06 (NLP) in 162 sec. 215 AFH 229 203 0 0 1.1 2 60 1.54341E+06 216 AFH 230 204 0 0 0.7 2 17 1.54341E+06 217 AFH 231 205 0 0 0.47 2 7.7 1.54341E+06 218 AFH 232 206 0 0 0.49 2 10 1.54341E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 233 207 0 0 0.31 2 3.2 1.54341E+06 220 AFH 234 208 0 0 2.9 2 2 1.54341E+06 221 AFH 235 209 0 0 0.13 2 0.84 1.54341E+06 222 AFH 236 210 0 0 0.1 2 0.52 1.54341E+06 223 AFH 238 211 0 0 1.3 2 27 1.54342E+06 224 AFH 239 212 0 0 0.51 2 14 1.54342E+06 225 AFH 240 213 0 0 0.25 2 3.6 1.54344E+06 226 AFH 241 214 0 0 0.53 2 0.89 1.54344E+06 227 AFH 242 215 0 0 0.067 2 0.22 1.54344E+06 228 AFH 244 216 0 0 16 2 1.9E+02 1.54344E+06 229 AFH 245 217 0 0 16 2 16 1.54346E+06 230 AFH 246 218 0 0 0.5 2 7.4 1.54346E+06 231 AFH 247 219 0 0 0.42 2 4.5 1.54346E+06 232 AFH 248 220 0 0 0.26 2 2.2 1.54346E+06 233 AFH 249 221 0 0 0.26 2 1.8 1.54346E+06 234 AFH 250 222 0 0 0.12 2 0.66 1.54346E+06 235 AFH 251 223 0 0 0.14 2 0.55 1.54346E+06 236 AFH 252 224 0 0 0.079 2 0.2 1.54346E+06 237 AFH 253 225 0 0 1.5 2 0.16 1.54346E+06 238 AFH 254 226 0 0 0.048 2 0.059 1.54346E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 256 227 0 0 0.29 2 1.9 1.54347E+06 240 AFH 257 228 0 0 0.26 2 3 1.54347E+06 241 AFH 258 229 0 0 0.16 2 0.96 1.54347E+06 242 AFH 259 230 0 0 2.4 2 0.31 1.54347E+06 243 AFH 260 231 0 0 0.14 2 0.33 1.54347E+06 244 AFH 261 232 0 0 0.057 2 0.11 1.54347E+06 245 AFH 262 233 0 0 0.035 2 0.038 1.54347E+06 246 AFH 263 234 0 0 0.028 2 0.034 1.54347E+06 247 AFH 264 235 0 0 0.019 2 0.013 1.54347E+06 248 AFH 266 236 0 0 2.4 2 0.34 1.54347E+06 249 AFH 267 237 0 0 0.044 2 0.097 1.54347E+06 250 AFH 268 238 0 0 0.03 2 0.044 1.54347E+06 251 AFH 269 239 0 0 0.015 2 0.011 1.54347E+06 252 AFH 270 240 0 0 1.8 2 0.0034 1.54347E+06 253 AFH 272 241 0 0 0.12 2 0.37 1.54347E+06 254 AFH 273 242 0 0 0.86 2 0.13 1.54347E+06 255 AFH 274 243 0 0 0.064 2 0.16 1.54347E+06 256 AFH 275 244 0 0 0.065 2 0.11 1.54347E+06 257 AFH 276 245 0 0 0.15 2 0.042 1.54347E+06 258 AFH 277 246 0 0 0.034 2 0.029 1.54347E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 278 247 0 0 0.02 2 0.011 1.54347E+06 260 AFH 279 248 0 0 1 2 0.039 1.54347E+06 261 AFH 280 249 0 0 0.02 2 0.011 1.54347E+06 262 AFH 281 250 0 0 0.012 2 0.0036 1.54347E+06 263 AFH 282 251 0 0 0.19 2 0.0041 1.54347E+06 264 AFH 283 252 0 0 0.0066 2 0.0013 1.54347E+06 265 AFH 285 253 0 0 0.043 2 0.034 1.54347E+06 266 AFH 286 254 0 0 0.17 2 0.034 1.54347E+06 267 AFH 287 255 0 0 0.024 2 0.016 1.54347E+06 268 AFH 288 256 0 0 0.016 2 0.0084 1.54347E+06 269 AFH 289 257 0 0 0.012 2 0.004 1.54347E+06 270 AFH 290 258 0 0 0.0083 2 0.0021 1.54347E+06 271 AFH 291 259 0 0 0.0066 2 0.001 1.54347E+06 272 AFH 292 260 0 0 0.0077 2 0.0014 1.54347E+06 273 AFH 293 261 0 0 0.0042 2 0.00042 1.54347E+06 274 AFH 294 262 0 0 0.0034 2 0.00028 1.54347E+06 275 AFH 295 263 0 0 0.031 2 0.017 1.54347E+06 276 AFH 296 264 0 0 0.017 2 0.0084 1.54347E+06 277 AFH 297 265 0 0 0.02 2 0.017 1.54347E+06 278 AFH 298 266 0 0 0.013 2 0.0057 1.54347E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 299 267 0 0 0.0089 2 0.0031 1.54347E+06 280 AFH 300 268 0 0 0.0082 2 0.003 1.54347E+06 281 AFH 301 269 0 0 0.0075 2 0.0014 1.54347E+06 282 AFH 302 270 0 0 0.0071 2 0.0012 1.54347E+06 283 AFH 303 271 0 0 0.0056 2 0.00085 1.54347E+06 284 AFH 304 272 0 0 0.0032 2 0.00042 1.54347E+06 285 AFH 305 273 0 0 0.0045 2 0.00046 1.54347E+06 286 AFH 306 274 0 0 0.0026 2 0.00023 1.54347E+06 287 AFH 307 275 0 0 0.0022 2 0.00017 1.54347E+06 288 AFH 308 276 0 0 0.0018 2 0.00012 1.54347E+06 289 AFH 309 277 0 0 0.15 2 7.7E-05 1.54347E+06 290 AFH 310 278 0 0 0.014 2 0.0047 1.54347E+06 291 AFH 311 279 0 0 0.0084 2 0.0018 1.54347E+06 292 AFH 312 280 0 0 0.0073 2 0.0017 1.54347E+06 293 AFH 313 281 0 0 0.0049 2 0.0007 1.54347E+06 294 AFH 314 282 0 0 0.39 2 0.0011 1.54347E+06 295 AFH 315 283 0 0 0.073 2 0.00079 1.54347E+06 296 AFH 316 284 0 0 0.0029 2 0.0003 1.54347E+06 297 AFH 317 285 0 0 0.0043 2 0.00066 1.54347E+06 298 AFH 318 286 0 0 0.0023 2 0.00019 1.54347E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 319 287 0 0 0.0015 2 7.8E-05 1.54347E+06 300 AFH 320 288 0 0 0.0027 2 0.00025 1.54347E+06 301 AFH 321 289 0 0 0.0014 2 6.7E-05 1.54347E+06 302 AFH 322 290 0 0 0.00083 2 2.4E-05 1.54347E+06 303 AFH 323 291 0 0 0.001 2 3.4E-05 1.54347E+06 304 AFH 324 292 0 0 0.00052 2 1.9E-05 1.54347E+06 305 AFH 325 293 0 0 0.0053 2 0.00066 1.54347E+06 306 AFH 326 294 0 0 0.0052 2 0.00069 1.54347E+06 307 AFH 327 295 0 0 0.0029 2 0.00023 1.54347E+06 308 AFH 328 296 0 0 0.0027 2 0.00022 1.54347E+06 309 AFH 329 297 0 0 0.07 2 7.6E-05 1.54347E+06 310 AFH 330 298 0 0 0.0017 2 8.1E-05 1.54347E+06 311 AFH 331 299 0 0 0.00097 2 2.6E-05 1.54347E+06 312 AFH 332 300 0 0 0.00091 2 2.3E-05 1.54347E+06 313 AFH 333 301 0 0 0.00052 2 8.1E-06 1.54347E+06 314 AFH 334 302 0 0 0.0006 2 1.1E-05 1.54347E+06 315 AFH 335 303 0 0 0.9 2 5E-06 1.54347E+06 316 AFH 336 304 0 0 0.9 2 0.00032 1.54347E+06 317 AFH 337 305 0 0 0.0023 2 0.00017 1.54347E+06 318 AFH 338 306 0 0 0.9 2 0.00016 1.54347E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 339 307 0 0 0.0014 2 5.3E-05 1.54347E+06 320 AFH 340 308 0 0 0.0012 2 5E-05 1.54347E+06 321 AFH 341 309 0 0 0.00079 2 1.7E-05 1.54347E+06 322 AFH 342 310 0 0 0.00085 2 2E-05 1.54347E+06 323 AFH 343 311 0 0 0.0004 2 6.3E-06 1.54347E+06 324 AFH 344 312 0 0 0.00035 2 4.9E-06 1.54347E+06 325 AFH 345 313 0 0 0.18 2 1.8E-06 1.54347E+06 326 AFH 346 314 0 0 0.0002 2 1.4E-06 1.54347E+06 327 AFH 347 315 0 0 0.00013 1 1.3E-06 1.54347E+06 328 AFH 348 316 0 0 0.003 2 0.00021 1.54347E+06 329 AFH 349 317 0 0 0.0021 2 0.00015 1.54347E+06 330 AFH 350 318 0 0 0.0014 1 6.6E-05 1.54347E+06 331 AFH 351 319 0 0 0.0023 2 0.00013 1.54347E+06 332 AFH 352 320 0 0 0.0014 1 8.1E-05 1.54347E+06 333 AFH 353 321 0 0 0.001 1 3.7E-05 1.54347E+06 334 AFH 354 322 0 0 0.00083 1 2.9E-05 1.54347E+06 335 AFH 355 323 0 0 0.00071 1 1.7E-05 1.54347E+06 336 AFH 356 324 0 0 0.00069 1 1.2E-05 1.54347E+06 337 AFH 357 325 0 0 0.00055 1 8.2E-06 1.54347E+06 338 AFH 358 326 0 0 0.00046 1 4.6E-06 1.54347E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 359 327 0 0 0.00029 1 3.7E-06 1.54347E+06 340 AFH 360 328 0 0 0.00027 1 2.1E-06 1.54347E+06 341 AFH 361 329 0 0 0.00023 1 1.4E-06 1.54347E+06 342 AFH 362 330 0 0 0.00022 1 1.8E-06 1.54347E+06 343 AFJ 363 331 0 0 0.00016 0 6.7E-07 1.54347E+06 343 FOUND SOLUTION: 1.54347E+06 in 1088 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.3_BatchS151208M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1543472.3977477902081 Max constraint (1) : 1.60107447300106287e-08 Alternative solution : MIP Alt. objective value : 1543472.3977273297496 Max constraint (2) : 6.6519714891910552979e-07 Time used (seconds) : 1087.92 Time limit (seconds) : 7200 Iterations used : 343 Iteration limit : -1 Function evaluations : 1106 Gradient evaluations : 364 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.5 % Optimal/total MIPs : 160/343 NLP solver calls : 343 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- BatchS151208M.gms(4241) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job BatchS151208M.gms Stop 09/14/12 14:55:40 elapsed 0:18:08.167 @04 1347627340 ----------------------------- Fr 14. Sep 14:55:40 CEST 2012 ----------------------------- =ready= Linux opt228 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Batch/gms/BatchS201210M.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job BatchS201210M.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- BatchS201210M.gms(5540) 3 Mb --- Starting execution: elapsed 0:00:00.043 --- BatchS201210M.gms(5538) 3 Mb --- Generating MINLP model m --- BatchS201210M.gms(5540) 6 Mb --- 2,328 rows 559 columns 6,664 non-zeroes --- 181 nl-code 67 nl-non-zeroes --- 251 discrete-columns --- BatchS201210M.gms(5540) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.068 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.4_BatchS201210M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 6664 elements of which 1% are non-linear(NL) included in 2328 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(1) The number of variables in NL elements are 67 from a total of 559 variables: Continuous(308), Binary(251), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=264 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (481) infeasibile 0 H 0 0 0 1 0 2 4.4E+06 NA 1 SAFH 1 1 0 1 2.8E+02 2 1E+13 -1E+13 2 SAFH 2 2 0 1 2.4E+02 2 1.5E+08 -1.4567E+08 3 SAFH 3 3 0 1 0 1 8E+05 125753 4 SAFG 4 4 0 1 8.6E+02 0 0 9.29727E+06 4 FOUND SOLUTION: 9.29727E+06 (NLP) in 1 sec. 5 SAH 4 4 0 1 1.9E+02 1 1.4E+04 3.4959E+07 6 SAFH 5 5 0 1 2E+02 2 8.7E+06 578739 7 SAFH 6 6 0 1 24 2 4E+03 9.27321E+06 8 SAFH 7 7 0 1 1.1E+02 2 1.8E+03 9.28964E+06 9 SAFH 8 8 0 1 14 2 7.2E+02 9.29142E+06 10 SAFH 9 9 0 1 30 2 1.4E+02 9.29669E+06 11 SAFH 10 10 0 1 9.4E-13 1 49 9.29683E+06 12 SAFH 11 11 0 1 2.2 2 1.1 9.29727E+06 13 SAFH 12 12 0 1 0 1 0.25 9.29727E+06 14 SAFH 13 13 0 1 0.01 2 8.8E-05 9.29727E+06 15 SAFH 14 14 0 1 0.008 1 1.9E-05 9.29727E+06 16 SAFJL 15 15 0 1 7.7E-07 0 1.8E-12 9.29727E+06 17 SAFJ 14 14 0 0.5 1.2E+02 0 0 3.4959E+07 18 SAFJ 14 14 0 0.3 0 0 0 3.4959E+07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFJ 14 14 0 0.2 0 0 0 3.4959E+07 20 SAFJ 14 14 0 0.1 0 0 0 3.4959E+07 21 AFG 14 14 0 0 1.5E+02 0 0 2.31224E+06 21 FOUND SOLUTION: 2.31224E+06 (NLP) in 5 sec. 22 AFH 14 14 0 0 19 2 1.8E+06 457618 23 AFH 15 15 0 0 66 2 3.5E+04 2.22804E+06 24 AFG 16 16 0 0 27 0 0 2.29589E+06 24 FOUND SOLUTION: 2.29589E+06 (NLP) in 14 sec. 25 AFH 16 16 0 0 6.2 2 1.2E+04 2.24243E+06 26 AFH 17 17 0 0 20 2 3.5E+03 2.24719E+06 27 AFH 18 18 0 0 35 2 4.2E+03 2.24898E+06 28 AFH 19 19 0 0 37 2 3.2E+02 2.25049E+06 29 AFH 20 20 0 0 1.5 2 1.2E+02 2.25059E+06 30 AFH 22 21 0 0 61 2 1.3E+04 2.28459E+06 31 AFH 23 22 0 0 48 2 3.8E+03 2.28775E+06 32 AFH 24 23 0 0 42 2 4.3E+03 2.28821E+06 33 AFH 25 24 0 0 11 2 2E+03 2.29096E+06 34 AFH 26 25 0 0 3.3 2 6.2E+02 2.29131E+06 35 AFH 27 26 0 0 39 2 2.3E+03 2.29143E+06 36 AFH 28 27 0 0 19 2 20 2.29156E+06 37 AFH 30 28 0 0 54 2 2.1E+03 2.29216E+06 38 AFG 31 29 0 0 43 0 7.8E-07 2.29535E+06 38 FOUND SOLUTION: 2.29535E+06 (NLP) in 59 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 31 29 0 0 0.28 2 1.4E+03 2.29231E+06 40 AFH 32 30 0 0 32 2 8.2E+02 2.29338E+06 41 AFH 33 31 0 0 35 2 4.1E+02 2.29348E+06 42 AFH 34 32 0 0 12 1 4.4 2.29371E+06 43 AFH 35 33 0 0 35 2 7.7E+02 2.2941E+06 44 AFH 36 34 0 0 46 2 1.5E+03 2.29416E+06 45 AFH 37 35 0 0 53 2 2.1E+02 2.29425E+06 46 AFH 38 36 0 0 1.2 2 52 2.29425E+06 47 AFH 39 37 0 0 1.8 2 19 2.29425E+06 48 AFH 41 38 0 0 27 2 1.9E+03 2.29442E+06 49 AFH 42 39 0 0 47 2 2.7E+02 2.29491E+06 50 AFH 43 40 0 0 39 2 61 2.29499E+06 51 AFH 44 41 0 0 0.16 2 9.8 2.29505E+06 52 AFH 45 42 0 0 34 2 41 2.29508E+06 53 AFH 46 43 0 0 0.54 2 10 2.29509E+06 54 AFH 47 44 0 0 0.29 2 2.9 2.29509E+06 55 AFH 48 45 0 0 0.53 2 1.4 2.29509E+06 56 AFH 50 46 0 0 12 2 2.6 2.29534E+06 57 AFH 51 47 0 0 3.1 1 0.012 2.29534E+06 58 AFH 52 48 0 0 1.3 1 6E-05 2.29535E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFJ 53 49 0 0 4.1E-12 0 2.6E-07 2.29535E+06 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.4_BatchS201210M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2295348.8482287786901 Max constraint (1) : 7.7534787124022841454e-07 Alternative solution : MIP Alt. objective value : 2295348.8482287786901 Max constraint (1) : 7.7534787124022841454e-07 Time used (seconds) : 127.02 Time limit (seconds) : 7200 Iterations used : 59 Iteration limit : -1 Function evaluations : 180 Gradient evaluations : 54 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.2 % MIP time usage : 98.7 % Optimal/total MIPs : 39/59 NLP solver calls : 59 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- BatchS201210M.gms(5540) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job BatchS201210M.gms Stop 09/14/12 14:39:39 elapsed 0:02:07.168 @04 1347626379 ----------------------------- Fr 14. Sep 14:39:39 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0203h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0203h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0203h.gms(386) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- clay0203h.gms(384) 3 Mb --- Generating MINLP model m --- clay0203h.gms(386) 5 Mb --- 133 rows 91 columns 367 non-zeroes --- 816 nl-code 72 nl-non-zeroes --- 18 discrete-columns --- clay0203h.gms(386) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.5_clay0203h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 367 elements of which 20% are non-linear(NL) included in 133 constraints of which 18% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 18 from a total of 91 variables: Continuous(73), Binary(18), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (120) infeasibile 0 H 0 0 0 1 0 24 2.4E+04 NA 1 SAFH 24 1 0 1 2.5E+02 10 7.1E+03 4940 2 SAFH 32 2 0 1 4.5E+02 4 36 3900 3 SAFH 33 3 0 1 1E+03 12 2.4E+03 4030 4 SAFG 45 4 0 1 8.7E+02 0 0 54835.8 4 FOUND SOLUTION: 54835.8 (NLP) in 1 sec. 5 SAFH 45 4 0 1 4.5E+02 10 2.1E+03 31046.5 6 SAFH 53 5 0 1 1.3E+03 12 5.2E+02 4330 7 SAFH 62 6 0 1 1.4E+03 6 12 4320 8 SAFH 65 7 0 1 3.4E+02 5 20 3900 9 SAFH 66 8 0 1 20 4 22 3900 10 SAFH 68 9 0 1 3.8E+02 5 20 3900 11 SAFH 69 10 0 1 1.5E+03 10 1.3E+02 4330 12 SAFH 76 11 0 1 1.2E+02 8 79 4330 13 SAFH 79 12 0 1 1.8E+03 9 46 50724.3 14 SAFH 83 13 0 1 1.5E+03 7 61 33249.4 15 SAFG 85 14 0 1 6.8E+02 0 1.5E-11 41907.5 15 FOUND SOLUTION: 41907.5 (NLP) in 1 sec. 16 SAFH 85 14 0 1 66 6 40 41313.5 17 SAFH 88 15 0 1 9.1E+02 4 12 4532.5 18 SAFH 90 16 0 1 1.2E+03 6 10 54252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 94 17 0 1 9.6E+02 0 0 41862.5 19 FOUND SOLUTION: 41862.5 (NLP) in 1 sec. 20 SAFH 94 17 0 1 26 6 10 41157.9 21 SAFH 96 18 0 1 9.7E+02 5 11 55097.2 22 SAFH 97 19 0 1 5.6E+02 4 20 53538.4 23 SAFH 99 20 0 1 19 3 6.6 54198.5 24 SAFH 101 21 0 1 14 3 2.2 54641.7 25 SAFH 103 22 0 1 7.4 3 0.48 54807.9 26 SAFH 105 23 0 1 3.8 3 0.14 54823.1 27 SAFH 106 24 0 1 5.6 3 0.43 54823.1 28 SAFH 107 25 0 1 2.8 3 0.11 54827.5 29 SAFH 109 26 0 1 1.5 3 0.027 54834.2 30 SAFH 110 27 0 1 0.7 3 0.0068 54835.3 31 SAFH 111 28 0 1 0.35 3 0.0028 54835.6 32 SAFH 113 29 0 1 1.6E+03 4 12 41345.6 33 SAFH 115 30 0 1 1.6E+03 2 0.00043 54835.8 34 SAFH 116 31 0 1 0.088 2 0.00011 54835.8 35 SAFG 117 32 0 1 7.7E+02 0 0 41737.5 35 FOUND SOLUTION: 41737.5 (NLP) in 2 sec. 36 SAFH 117 32 0 1 2.4 3 2.8 41583.9 37 SAFG 119 33 0 1 2.4 0 3.3E-08 41737.5 37 FOUND SOLUTION: 41737.5 (NLP) in 2 sec. 38 SAFH 119 33 0 1 5.6 2 0.85 41714.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 120 34 0 1 4.1 2 0.23 41726.2 40 SAFH 121 35 0 1 2 3 0.1 41734.5 41 SAFH 123 36 0 1 1 2 0.014 41736.9 42 SAFH 124 37 0 1 0.51 2 0.0035 41737.3 43 SAFH 125 38 0 1 0.25 2 0.00089 41737.5 44 SAFH 126 39 0 1 0.13 2 0.00022 41737.5 45 SAFH 127 40 0 1 0.063 2 5.6E-05 41737.5 46 SAFH 128 41 0 1 0.032 2 2.7E-05 41737.5 47 SAFH 129 42 0 1 0.036 2 1.4E-05 41737.5 48 SAFH 130 43 0 1 0.016 2 6.6E-06 41737.5 49 SAFH 131 44 0 1 0.018 2 3.5E-06 41737.5 50 SAFH 132 45 0 1 0.0081 1 1.7E-06 41737.5 51 SAFJL 133 46 0 1 0.0091 0 9.1E-07 41737.5 51 FOUND SOLUTION: 41737.5 in 3 sec. 52 SAFH 109 45 0 0.5 4.7E+02 2 3 41770.6 53 SAFH 111 46 0 0.5 1E+03 3 13 3560 54 SAFG 113 47 0 0.5 9.9E+02 0 0 41573.3 54 FOUND SOLUTION: 41573.3 (NLP) in 3 sec. 55 SAFH 113 47 0 0.5 7.9 3 11 41428.5 56 SAFH 114 48 0 0.5 7.6 2 1.8 41486 57 SAFH 115 49 0 0.5 2 2 0.75 41567.3 58 SAFH 116 50 0 0.5 0.87 2 0.024 41572.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 117 51 0 0.5 1.7E+03 4 4.1 41469.7 60 SAFH 119 52 0 0.5 17 3 2 41588.6 61 SAFH 120 53 0 0.5 8.7E+02 3 19 41061.6 62 SAFH 122 54 0 0.5 1.6E+03 2 0.0039 41573.3 63 SAFH 123 55 0 0.5 0.0045 1 3.9E-06 41573.3 64 SAFJ 124 56 0 0.5 3.1E+02 0 9.1E-07 41573.3 64 FOUND SOLUTION: 41573.3 in 3 sec. 65 SAFJ 124 56 0 0.3 0 0 9.1E-07 41573.3 66 SAFJ 124 56 0 0.2 0 0 9.1E-07 41573.3 67 SAFJ 124 56 0 0.1 0 0 9.1E-07 41573.3 68 AFJ 124 56 0 0 0 0 9.1E-07 41573.3 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.5_clay0203h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 41573.301760780013865 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 41573.301711097723455 Max constraint (11) : 9.1022957422592296542e-07 Time used (seconds) : 2.99 Time limit (seconds) : 7200 Iterations used : 68 Iteration limit : -1 Function evaluations : 3096 Gradient evaluations : 148 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.4 % NLP time usage : 17.0 % MIP time usage : 82.6 % Optimal/total MIPs : 1/68 NLP solver calls : 69 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0203h.gms(386) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0203h.gms Stop 09/14/12 14:37:35 elapsed 0:00:03.029 @04 1347626255 ----------------------------- Fr 14. Sep 14:37:35 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0203m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0203m.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0203m.gms(170) 2 Mb --- Starting execution: elapsed 0:00:00.018 --- clay0203m.gms(168) 3 Mb --- Generating MIQCP model m --- clay0203m.gms(170) 5 Mb --- 55 rows 31 columns 169 non-zeroes --- 216 nl-code 48 nl-non-zeroes --- 18 discrete-columns --- clay0203m.gms(170) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.6_clay0203m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 169 elements of which 28% are non-linear(NL) included in 55 constraints of which 44% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 6 from a total of 31 variables: Continuous(13), Binary(18), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 39 6 53 4330 2 SAFG 2 1 0 1 3.1E+02 0 5.2E-08 55423.1 2 FOUND SOLUTION: 55423.1 (NLP) in 1 sec. 3 SAFH 2 1 0 1 3.1E+02 8 6.2E+03 4330 4 SAFH 6 2 0 1 36 6 40 3730 5 SAFH 9 3 0 1 4 9 7.4E+03 3730 6 SAFH 17 4 0 1 2.1E+02 12 1.8E+03 17177.9 7 SAFH 27 5 0 1 1.4E+02 12 9.9E+02 31076.4 8 SAFH 31 6 0 1 2.6E+02 12 3.4E+02 6430 9 SAFH 40 7 0 1 28 11 82 6430 10 SAFH 46 8 0 1 3.2E+02 8 81 6470 11 SAFH 48 9 0 1 25 6 25 3930 12 SAFH 49 10 0 1 7.5 4 42 3930 13 SAFH 51 11 0 1 10 6 9 4280 14 SAFG 56 12 0 1 3.1E+02 0 1.4E-07 41907.5 14 FOUND SOLUTION: 41907.5 (NLP) in 1 sec. 15 SAFH 56 12 0 1 93 8 7E+02 36769.3 16 SAFH 60 13 0 1 40 8 1.8E+02 37566.7 17 SAFH 62 14 0 1 21 6 58 38375.5 18 SAFH 65 15 0 1 32 4 20 40647.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 67 16 0 1 16 0 3.6E-07 41907.5 19 FOUND SOLUTION: 41907.5 (NLP) in 1 sec. 20 SAFH 67 16 0 1 11 3 11 41436.2 21 SAFH 70 17 0 1 14 2 2.8 41735.7 22 SAFH 72 18 0 1 7.5 3 14 41800.6 23 SAFH 73 19 0 1 4.6 3 1.2 41861.7 24 SAFH 74 20 0 1 0.5 3 0.51 41868.2 25 SAFH 76 21 0 1 4.2 2 0.23 41895.5 26 SAFH 77 22 0 1 1.4 2 0.12 41903.3 27 SAFH 79 23 0 1 0.72 2 0.029 41905.9 28 SAFH 81 24 0 1 0.71 2 0.0076 41907 29 SAFH 82 25 0 1 0.2 2 0.0037 41907.3 30 SAFH 84 26 0 1 3.9E+02 12 4.4E+02 42569.3 31 SAFH 86 27 0 1 3.4E+02 6 37 55164.3 32 SAFH 88 28 0 1 8.6 4 8.2 55564.1 33 SAFH 89 29 0 1 3.3 4 1.2 55719.3 34 SAFH 90 30 0 1 0.72 4 0.057 55752.7 35 SAFH 91 31 0 1 0.037 4 0.016 55754.4 36 SAFH 92 32 0 1 0.014 4 0.00093 55754.9 37 SAFH 93 33 0 1 0.0007 3 0.00092 55754.9 38 SAFH 94 34 0 1 0.065 3 0.00023 55755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 95 35 0 1 3.5E+02 11 1.8E+02 47359.2 40 SAFH 100 36 0 1 2.9E+02 5 14 3560 41 SAFG 102 37 0 1 4E+02 0 7.8E-08 41737.5 41 FOUND SOLUTION: 41737.5 (NLP) in 1 sec. 42 SAFH 102 37 0 1 24 5 36 39317.7 43 SAFH 105 38 0 1 24 3 17 41121.7 44 SAFG 108 39 0 1 12 0 2.2E-07 41737.5 44 FOUND SOLUTION: 41737.5 (NLP) in 1 sec. 45 SAFH 108 39 0 1 5.4 2 4.3 41445.3 46 SAFH 110 40 0 1 8 4 6.7 41696.8 47 SAFH 111 41 0 1 3.6 3 0.68 41697.9 48 SAFH 113 42 0 1 2.8 3 0.43 41718.8 49 SAFH 114 43 0 1 1.4 3 0.18 41724.2 50 SAFG 116 44 0 1 1.2 0 5.2E-07 41737.5 50 FOUND SOLUTION: 41737.5 (NLP) in 1 sec. 51 SAFH 116 44 0 1 3.6 2 0.53 41728.1 52 SAFH 117 45 0 1 2.1 2 0.13 41732.5 53 SAFH 118 46 0 1 1 2 0.033 41734.6 54 SAFH 120 47 0 1 0.87 2 0.0083 41736.9 55 SAFH 122 48 0 1 0.44 2 0.0021 41737.3 56 SAFH 124 49 0 1 0.099 2 0.00052 41737.4 57 SAFH 125 50 0 1 0.065 2 0.00044 41737.4 58 SAFH 126 51 0 1 0.045 2 0.00013 41737.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 127 52 0 1 0.032 2 0.00011 41737.5 60 SAFH 128 53 0 1 0.022 2 3.3E-05 41737.5 61 SAFH 129 54 0 1 0.016 2 2.8E-05 41737.5 62 SAFH 130 55 0 1 0.011 2 8.1E-06 41737.5 63 SAFH 131 56 0 1 0.0081 2 6.9E-06 41737.5 64 SAFH 132 57 0 1 0.0056 2 2E-06 41737.5 65 SAFH 133 58 0 1 0.004 1 1.7E-06 41737.5 66 SAFJ 134 59 0 1 0.0028 0 5.1E-07 41737.5 67 SAFH 134 59 0 0.5 27 2 24 41007.5 68 SAFH 136 60 0 0.5 4.1E+02 4 14 3940.25 69 SAFH 139 61 0 0.5 3.3E+02 5 27 3618.04 70 SAFG 141 62 0 0.5 3.9E+02 0 0 41573.3 70 FOUND SOLUTION: 41573.3 (NLP) in 2 sec. 71 SAFH 141 62 0 0.5 3.3 3 7.9 41435.7 72 SAFH 142 63 0 0.5 3.3 3 1.3 41512.9 73 SAFH 143 64 0 0.5 0.57 3 0.37 41570.3 74 SAFH 144 65 0 0.5 0.17 3 0.011 41572.7 75 SAFH 145 66 0 0.5 0.0052 2 0.00092 41573.2 76 SAFH 146 67 0 0.5 0.00043 1 0.00058 41573.2 77 SAFH 147 68 0 0.5 0.051 1 0.00015 41573.3 78 SAFH 148 69 0 0.5 0.026 1 3.6E-05 41573.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 149 70 0 0.5 0.013 1 9.1E-06 41573.3 80 SAFH 150 71 0 0.5 29 4 13 41477.1 81 SAFH 151 72 0 0.5 29 1 2.3E-06 41573.3 82 SAFJ 152 73 0 0.5 0.0032 0 8.7E-07 41573.3 82 FOUND SOLUTION: 41573.3 in 2 sec. 83 SAFJ 152 73 0 0.3 0 0 8.7E-07 41573.3 84 SAFJ 152 73 0 0.2 0 0 8.7E-07 41573.3 85 SAFJ 152 73 0 0.1 0 0 8.7E-07 41573.3 86 AFH 152 73 0 0 3.2E+02 4 20 4183.26 87 AFH 153 74 0 0 4E+02 4 11 41061.7 88 AFJ 154 75 0 0 3.1E+02 0 8.7E-07 41573.3 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.6_clay0203m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 41573.262522213248303 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 41573.262475058640121 Max constraint (15) : 8.7062562670325860381e-07 Time used (seconds) : 1.99 Time limit (seconds) : 7200 Iterations used : 88 Iteration limit : -1 Function evaluations : 4128 Gradient evaluations : 154 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.7 % NLP time usage : 25.5 % MIP time usage : 73.8 % Optimal/total MIPs : 3/88 NLP solver calls : 89 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0203m.gms(170) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0203m.gms Stop 09/14/12 14:37:34 elapsed 0:00:02.030 @04 1347626254 ----------------------------- Fr 14. Sep 14:37:34 CEST 2012 ----------------------------- =ready= Linux opt231 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0204h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0204h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0204h.gms(630) 2 Mb --- Starting execution: elapsed 0:00:00.018 --- clay0204h.gms(628) 3 Mb --- Generating MINLP model m --- clay0204h.gms(630) 5 Mb --- 235 rows 165 columns 653 non-zeroes --- 1,088 nl-code 96 nl-non-zeroes --- 32 discrete-columns --- clay0204h.gms(630) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.024 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.7_clay0204h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 653 elements of which 15% are non-linear(NL) included in 235 constraints of which 14% are NL The NL constraint signs: =E=(0), =G=(0), =L=(32) The number of variables in NL elements are 24 from a total of 165 variables: Continuous(133), Binary(32), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=37 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (217) infeasibile 0 H 0 0 0 1 0 32 2.4E+04 NA 1 SAFH 32 1 0 1 4.4E+02 12 7.1E+03 7035 2 SAFH 44 2 0 1 1.6E+02 6 9.3 7035 3 SAFG 47 3 0 1 8.4E+02 0 1.8E-12 74266.8 3 FOUND SOLUTION: 74266.8 (NLP) in 1 sec. 4 SAFH 47 3 0 1 7.5E+02 7 5.8E+03 7216.11 5 SAFH 51 4 0 1 5.8E+02 4 24 7278.75 6 SAFH 52 5 0 1 1.7E+03 16 2E+03 8365 7 SAFH 68 6 0 1 1.4E+03 16 2.5E+03 8365 8 SAFG 82 7 0 1 1E+03 0 5.4E-10 8365 8 FOUND SOLUTION: 8365 (NLP) in 1 sec. 9 SAFH 82 7 0 1 4E+02 16 5.7E+02 8365 10 SAFH 95 8 0 1 2.7E+02 12 1.3E+02 8365 11 SAFH 103 9 0 1 5.9E+02 15 4.5E+02 8365 12 SAFH 111 10 0 1 3E+02 6 1.2E+02 8365 13 SAFH 113 11 0 1 2.3E+02 7 71 8365 14 SAFH 115 12 0 1 2.4E+02 3 34 8365 15 SAFH 116 13 0 1 1.4E+02 2 22 8365 16 SAFH 118 14 0 1 74 2 11 8365 17 SAFH 119 15 0 1 35 2 3.1 8365 18 SAFH 121 16 0 1 5.3 2 0.035 8365 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 123 17 0 1 0.035 2 3E-06 8365 20 SAFH 124 18 0 1 1.7E-05 1 3E-06 8365 21 SAFJL 125 19 0 1 1.7E-05 0 9.1E-13 8365 22 SAFG 93 18 0 0.5 2.2E+03 0 1.2E-11 6665 22 FOUND SOLUTION: 6665 (NLP) in 2 sec. 23 SAFH 93 18 0 0.5 23 2 19 6665 24 SAFH 95 19 0 0.5 2.7E+03 6 9 7290 25 SAFH 100 20 0 0.5 7.6E+02 7 20 6605 26 SAFH 101 21 0 0.5 37 4 14 6605 27 SAFH 102 22 0 0.5 7.3E+02 5 15 7318 28 SAFH 104 23 0 0.5 2.6E+03 2 94 6545 29 SAFH 106 24 0 0.5 2.7E+03 5 14 6605 30 SAFH 107 25 0 0.5 3.7E+02 6 6.6 6957.19 31 SAFH 110 26 0 0.5 4E+02 4 24 6607.4 32 SAFH 111 27 0 0.5 2.9E+03 2 8.3 7025 33 SAFH 112 28 0 0.5 1.1E+03 2 1 6665 34 SAFH 114 29 0 0.5 1.3 2 0.0036 6665 35 SAFJ 116 30 0 0.5 0.0046 0 4.6E-08 6665 36 SAFJ 116 30 0 0.3 0 0 4.6E-08 6665 37 SAFJ 116 30 0 0.2 0 0 4.6E-08 6665 38 SAFJ 116 30 0 0.1 0 0 4.6E-08 6665 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 116 30 0 0 1.2E+03 1 28 6545 40 AFH 117 31 0 0 1.7E+03 2 17 6545 41 AFH 119 32 0 0 3.1E+03 2 11 6545 42 AFH 121 33 0 0 1.7E+03 1 19 6545 43 AFH 122 34 0 0 1.6E+03 2 66 6545 44 AFH 123 35 0 0 1.6E+03 1 14 6545 45 AFH 124 36 0 0 51 1 3.5 6545 46 AFG 125 37 0 0 1.7E+03 0 3.2E-10 6545 46 FOUND SOLUTION: 6545 (NLP) in 7 sec. 47 AFH 125 37 0 0 84 6 60 6545 48 AFH 127 38 0 0 3.2E+03 2 39 6545 49 AFH 129 39 0 0 1.6E+03 3 15 6545 50 AFH 131 40 0 0 1.5E+03 2 8.4 6545 51 AFH 132 41 0 0 1.6E+03 2 1.1 6545 52 AFH 134 42 0 0 1.6E+03 2 3.9 6545 53 AFH 135 43 0 0 1.6E+03 2 0.003 6545 54 AFH 137 44 0 0 3.1E+03 2 0.52 6545 55 AFH 139 45 0 0 0.7 2 0.00086 6545 56 AFH 140 46 0 0 0.0014 1 0.00087 6545 57 AFH 141 47 0 0 1.6E+03 2 0.52 6545 58 AFH 142 48 0 0 0.8 2 0.2 6545 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 143 49 0 0 0.33 2 0.00069 6545 60 AFH 144 50 0 0 0.0011 1 0.00014 6545 61 AFJ 145 51 0 0 1.6E+03 0 2.6E-09 6545 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.7_clay0204h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 6545 Max constraint (13) : 3.2105195077747335873e-10 Alternative solution : MIP Alt. objective value : 6545 Max constraint (13) : 3.2105195077747335873e-10 Time used (seconds) : 11.29 Time limit (seconds) : 7200 Iterations used : 61 Iteration limit : -1 Function evaluations : 4832 Gradient evaluations : 177 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 3.7 % MIP time usage : 96.1 % Optimal/total MIPs : 23/61 NLP solver calls : 62 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0204h.gms(630) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0204h.gms Stop 09/14/12 14:37:43 elapsed 0:00:11.342 @04 1347626263 ----------------------------- Fr 14. Sep 14:37:43 CEST 2012 ----------------------------- =ready= Linux opt232 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0204m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0204m.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0204m.gms(250) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- clay0204m.gms(248) 3 Mb --- Generating MIQCP model m --- clay0204m.gms(250) 5 Mb --- 91 rows 53 columns 285 non-zeroes --- 288 nl-code 64 nl-non-zeroes --- 32 discrete-columns --- clay0204m.gms(250) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.8_clay0204m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 285 elements of which 22% are non-linear(NL) included in 91 constraints of which 35% are NL The NL constraint signs: =E=(0), =G=(0), =L=(32) The number of variables in NL elements are 8 from a total of 53 variables: Continuous(21), Binary(32), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 77 6 1.1E+02 8365 2 SAFH 2 1 0 1 2 7 5.7E+03 8365 3 SAFH 6 2 0 1 2.4E+02 16 2.4E+03 12105 4 SAFH 22 3 0 1 2.6E+02 16 3.1E+03 12105 5 SAFH 36 4 0 1 3E+02 7 81 10380 6 SAFH 38 5 0 1 42 14 2E+02 12655.9 7 SAFH 40 6 0 1 1.2E+02 14 2.1E+03 29380.3 8 SAFH 44 7 0 1 1.6E+02 14 8.5E+02 47153.5 9 SAFG 56 8 0 1 4E+02 0 0 72691.3 9 FOUND SOLUTION: 72691.3 (NLP) in 1 sec. 10 SAFH 56 8 0 1 2.1E+02 16 6.7E+02 41686.2 11 SAFG 69 9 0 1 2.1E+02 0 9.1E-12 72691.3 11 FOUND SOLUTION: 72691.3 (NLP) in 1 sec. 12 SAFH 69 9 0 1 99 14 2.2E+02 58914.6 13 SAFH 77 10 0 1 71 8 43 68467.4 14 SAFH 82 11 0 1 36 4 23 71189.6 15 SAFH 84 12 0 1 14 3 6.8 71910.4 16 SAFH 87 13 0 1 11 3 3.8 72651.5 17 SAFH 88 14 0 1 5.7 3 1 72659 18 SAFH 89 15 0 1 4.5E+02 12 6.5E+02 51962.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 92 16 0 1 4.5E+02 0 1.6E-07 72691.3 19 FOUND SOLUTION: 72691.3 (NLP) in 1 sec. 20 SAFH 92 16 0 1 1.3 3 0.34 72663.5 21 SAFH 93 17 0 1 3.5 3 0.39 72668.2 22 SAFH 94 18 0 1 1.8 3 0.099 72681 23 SAFH 95 19 0 1 4.9E+02 12 6.3E+02 60859.5 24 SAFH 99 20 0 1 4.9E+02 3 0.038 72687.4 25 SAFH 102 21 0 1 0.46 3 0.0062 72690.8 26 SAFH 103 22 0 1 0.22 3 0.0016 72691.3 27 SAFH 104 23 0 1 0.11 3 0.00039 72691.3 28 SAFH 105 24 0 1 4.4E+02 12 2E+02 62900.1 29 SAFH 107 25 0 1 3.6E+02 12 81 9608.18 30 SAFH 111 26 0 1 4.9E+02 11 1E+02 62779.3 31 SAFH 117 27 0 1 85 5 35 66000.8 32 SAFH 120 28 0 1 29 5 24 68624.9 33 SAFH 122 29 0 1 3.8E+02 5 76 72458.4 34 SAFH 124 30 0 1 34 4 20 73602 35 SAFH 126 31 0 1 19 3 5.7 74330.6 36 SAFH 127 32 0 1 12 3 1.7 74465.3 37 SAFH 128 33 0 1 6 3 0.5 74547.5 38 SAFH 130 34 0 1 3.2 3 0.11 74550.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 132 35 0 1 1.6 3 0.03 74551.8 40 SAFH 134 36 0 1 0.92 3 0.0097 74552.5 41 SAFH 136 37 0 1 0.46 3 0.0024 74552.9 42 SAFH 138 38 0 1 0.23 3 0.00061 74553 43 SAFH 139 39 0 1 0.11 3 0.00015 74553 44 SAFH 140 40 0 1 0.057 3 0.00017 74553 45 SAFH 141 41 0 1 3.5E-05 2 9.8E-05 74553 46 SAFH 142 42 0 1 4.5E+02 10 1.7E+02 67967.5 47 SAFH 144 43 0 1 4.5E+02 2 3.8E-05 74553 48 SAFH 145 44 0 1 0.029 3 2.4E-05 74553 49 SAFH 146 45 0 1 0.014 3 9.5E-06 74553 50 SAFH 147 46 0 1 0.014 3 6.2E-06 74553 51 SAFH 148 47 0 1 4.4E+02 8 57 70048.1 52 SAFH 151 48 0 1 4.4E+02 3 2.4E-06 74553 53 SAFH 152 49 0 1 0.0071 2 2.8E-06 74553 54 SAFH 153 50 0 1 5.8E-07 1 1.5E-06 74553 55 SAFH 154 51 0 1 4.6E+02 9 35 72333.8 56 SAFJ 157 52 0 1 4.6E+02 0 5.9E-07 74553 57 SAFH 157 52 0 0.5 4.4E+02 2 8.5 7615 58 SAFG 159 53 0 0.5 1.8 0 1.1E-07 7615 58 FOUND SOLUTION: 7615 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 159 53 0 0.5 0.04 2 0.19 7615 60 SAFH 161 54 0 0.5 0.04 2 0.0001 7615 61 SAFH 162 55 0 0.5 3.9E-05 1 0.0001 7615 62 SAFJ 163 56 0 0.5 3.9E-05 0 5.9E-11 7615 63 SAFJ 163 56 0 0.3 0 0 5.9E-11 7615 64 SAFJ 163 56 0 0.2 0 0 5.9E-11 7615 65 SAFJ 163 56 0 0.1 0 0 5.9E-11 7615 66 AFH 163 56 0 0 4.8E+02 4 16 6545 67 AFH 166 57 0 0 27 6 20 6545 68 AFG 167 58 0 0 4.4E+02 0 0 6545 68 FOUND SOLUTION: 6545 (NLP) in 3 sec. 69 AFH 167 58 0 0 33 5 78 6545 70 AFH 168 59 0 0 49 5 59 6545 71 AFH 170 60 0 0 55 3 13 6545 72 AFH 172 61 0 0 4.2E+02 5 15 6545 73 AFH 175 62 0 0 4.4E+02 3 49 6545 74 AFH 177 63 0 0 25 2 16 6545 75 AFH 178 64 0 0 55 1 6.6 6545 76 AFH 179 65 0 0 6.5 1 1.7 6545 77 AFH 180 66 0 0 27 3 19 6545 78 AFH 181 67 0 0 5.4 2 0.92 6545 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 183 68 0 0 26 1 0.46 6545 80 AFH 184 69 0 0 1.8 1 0.12 6545 81 AFH 185 70 0 0 0.92 1 0.03 6545 82 AFH 186 71 0 0 0.45 1 0.0074 6545 83 AFH 187 72 0 0 0.23 1 0.0018 6545 84 AFH 188 73 0 0 0.11 1 0.00046 6545 85 AFH 189 74 0 0 0.057 1 0.00012 6545 86 AFH 190 75 0 0 0.029 1 2.9E-05 6545 87 AFH 191 76 0 0 0.014 1 7.2E-06 6545 88 AFH 192 77 0 0 47 1 0.028 6545 89 AFH 193 78 0 0 47 1 1.8E-06 6545 90 AFJ 194 79 0 0 0.0036 0 4.5E-07 6545 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.8_clay0204m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 6545.0000000000027285 Max constraint (6) : -37.317751816496638639 Alternative solution : MIP Alt. objective value : 6545.0000000000027285 Max constraint (6) : -37.317751816496638639 Time used (seconds) : 6.12 Time limit (seconds) : 7200 Iterations used : 90 Iteration limit : -1 Function evaluations : 5216 Gradient evaluations : 194 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 9.7 % MIP time usage : 90.2 % Optimal/total MIPs : 25/90 NLP solver calls : 91 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0204m.gms(250) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0204m.gms Stop 09/14/12 14:37:38 elapsed 0:00:06.167 @04 1347626258 ----------------------------- Fr 14. Sep 14:37:38 CEST 2012 ----------------------------- =ready= Linux opt204 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0205h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0205h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0205h.gms(938) 2 Mb --- Starting execution: elapsed 0:00:00.017 --- clay0205h.gms(936) 3 Mb --- Generating MINLP model m --- clay0205h.gms(938) 5 Mb --- 366 rows 261 columns 1,021 non-zeroes --- 1,360 nl-code 120 nl-non-zeroes --- 50 discrete-columns --- clay0205h.gms(938) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.024 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.9_clay0205h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1021 elements of which 12% are non-linear(NL) included in 366 constraints of which 11% are NL The NL constraint signs: =E=(0), =G=(0), =L=(40) The number of variables in NL elements are 30 from a total of 261 variables: Continuous(211), Binary(50), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=58 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (346) infeasibile 0 H 0 0 0 1 0 40 2.4E+04 NA 1 SAFG 40 1 0 1 3.6E+03 0 9.1E-13 60023.1 1 FOUND SOLUTION: 60023.1 (NLP) in 1 sec. 2 SAFH 40 1 0 1 2.5E+03 18 5.5E+03 8605 3 SAFH 56 2 0 1 2.3E+03 20 2E+03 14767.5 4 SAFH 72 3 0 1 3.5E+03 20 6.4E+02 21345 5 SAFH 86 4 0 1 3E+03 15 6.7E+02 71207.9 6 SAFH 92 5 0 1 4.7E+02 13 2E+02 72604.2 7 SAFH 94 6 0 1 2E+02 11 78 78882.6 8 SAFH 97 7 0 1 1.9E+03 12 45 84480.5 9 SAFH 101 8 0 1 3E+03 10 1.8E+02 15247.9 10 SAFH 104 9 0 1 2.8E+03 6 3.1E+02 12675 11 SAFH 107 10 0 1 3.4E+03 7 87 24139.9 12 SAFH 109 11 0 1 66 6 25 24491.5 13 SAFH 112 12 0 1 3.9E+03 2 48 15527.5 14 SAFH 113 13 0 1 2.3E+03 4 60 9312.5 15 SAFH 115 14 0 1 92 3 39 9312.5 16 SAFH 116 15 0 1 1.5E+02 3 36 9317.4 17 SAFH 118 16 0 1 94 3 3.7 9329.94 18 SAFG 121 17 0 1 2.9E+03 0 1.6E-11 14585 18 FOUND SOLUTION: 14585 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 121 17 0 1 38 6 23 14585 20 SAFH 124 18 0 1 3.3E+03 4 1.3E+02 13108.6 21 SAFH 126 19 0 1 4.6E+03 10 1.5E+02 81458.2 22 SAFH 128 20 0 1 3.5E+03 13 3.1E+02 73659.1 23 SAFG 134 21 0 1 4.2E+03 0 2.5E-10 8717.75 23 FOUND SOLUTION: 8717.75 (NLP) in 2 sec. 24 SAFH 134 21 0 1 36 3 2.6 8701.92 25 SAFH 136 22 0 1 3.9E+03 9 36 80927 26 SAFH 137 23 0 1 30 7 11 82382 27 SAFH 142 24 0 1 1.7E+03 8 47 84359.6 28 SAFH 143 25 0 1 74 9 23 86255 29 SAFH 145 26 0 1 4.6E+03 4 19 18900 30 SAFH 147 27 0 1 3.8E+03 5 58 16055 31 SAFH 150 28 0 1 2.3E+03 2 1.2 15155 32 SAFH 151 29 0 1 3.3 2 0.2 15155 33 SAFH 152 30 0 1 1.2E+03 2 0.0082 14257.5 34 SAFH 153 31 0 1 0.022 1 0.00018 14257.5 35 SAFJL 154 32 0 1 0.00045 0 2.9E-07 14257.5 36 SAFH 114 31 0 0.5 3.9E+03 2 14 8092.5 37 SAFG 115 32 0 0.5 3.8E+03 0 9.1E-13 8275 37 FOUND SOLUTION: 8275 (NLP) in 4 sec. 38 SAFH 115 32 0 0.5 19 2 11 8275 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 117 33 0 0.5 3.4E+03 2 0.2 8092.5 40 SAFH 119 34 0 0.5 3.7E+03 6 9 22462.9 41 SAFH 123 35 0 0.5 3.9E+03 2 15 8167.5 42 SAFH 124 36 0 0.5 3.7E+03 2 1.4 9975 43 SAFH 126 37 0 0.5 4.9E+03 2 1 8092.5 44 SAFH 128 38 0 0.5 3.3E+03 2 0.35 8275 45 SAFH 130 39 0 0.5 3.4E+03 3 0.18 8460.2 46 SAFG 131 40 0 0.5 2.2E+03 0 8.2E-11 8261.44 46 FOUND SOLUTION: 8261.44 (NLP) in 12 sec. 47 SAFH 131 40 0 0.5 0.17 3 0.034 8261.42 48 SAFG 133 41 0 0.5 4.8E+03 0 7.9E-07 8092.5 48 FOUND SOLUTION: 8092.5 (NLP) in 13 sec. 49 SAFH 133 41 0 0.5 0.028 2 0.0077 8092.5 50 SAFH 135 42 0 0.5 3.8E+03 3 1.6 9281.31 51 SAFH 136 43 0 0.5 4.2E+03 2 3.6E-06 8377.5 52 SAFH 137 44 0 0.5 8.9E-06 1 3.6E-06 8377.5 53 SAFH 138 45 0 0.5 4.9E+03 2 5.3 9162.5 54 SAFJ 140 46 0 0.5 2.3E+03 0 7.9E-07 8092.5 55 SAFJ 140 46 0 0.3 0 0 7.9E-07 8092.5 56 SAFJ 140 46 0 0.2 0 0 7.9E-07 8092.5 57 SAFJ 140 46 0 0.1 0 0 7.9E-07 8092.5 58 AFH 140 46 0 0 2.3E+03 3 13 8085 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFJ 141 47 0 0 2.3E+03 0 7.9E-07 8092.5 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.9_clay0205h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 8092.5000000000009095 Max constraint (7) : 7.9046719213420145349e-07 Alternative solution : MIP Alt. objective value : 8092.5000000000009095 Max constraint (7) : 7.9046719213420145349e-07 Time used (seconds) : 38.34 Time limit (seconds) : 7200 Iterations used : 59 Iteration limit : -1 Function evaluations : 10400 Gradient evaluations : 181 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.5 % MIP time usage : 98.5 % Optimal/total MIPs : 2/59 NLP solver calls : 60 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0205h.gms(938) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0205h.gms Stop 09/14/12 14:38:10 elapsed 0:00:38.392 @04 1347626290 ----------------------------- Fr 14. Sep 14:38:10 CEST 2012 ----------------------------- =ready= Linux opt205 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0205m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0205m.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0205m.gms(353) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- clay0205m.gms(351) 3 Mb --- Generating MIQCP model m --- clay0205m.gms(353) 5 Mb --- 136 rows 81 columns 431 non-zeroes --- 360 nl-code 80 nl-non-zeroes --- 50 discrete-columns --- clay0205m.gms(353) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.015 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.10_clay0205m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 431 elements of which 19% are non-linear(NL) included in 136 constraints of which 29% are NL The NL constraint signs: =E=(0), =G=(0), =L=(40) The number of variables in NL elements are 10 from a total of 81 variables: Continuous(31), Binary(50), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 1.6E+02 13 3E+02 10100 2 SAFH 2 1 0 1 2 13 4.8E+03 10100 3 SAFH 6 2 0 1 1.9E+02 10 1.7E+02 12525 4 SAFH 8 3 0 1 2 11 5.4E+03 12525 5 SAFH 12 4 0 1 4.1E+02 20 3E+03 29686.7 6 SAFH 26 5 0 1 3.3E+02 18 4.7E+03 41979.3 7 SAFH 34 6 0 1 2.8E+02 18 5.3E+03 17559.4 8 SAFH 38 7 0 1 2 17 1.1E+03 17559.4 9 SAFH 41 8 0 1 1.1E+02 20 5E+02 19857.6 10 SAFH 53 9 0 1 1.3E+02 17 2.5E+02 22099.2 11 SAFH 56 10 0 1 1.2E+02 12 1.1E+02 24429.2 12 SAFH 63 11 0 1 2.7E+02 14 1.4E+03 38548.4 13 SAFH 67 12 0 1 1.3E+02 14 4.7E+02 49611.9 14 SAFH 71 13 0 1 1.5E+02 15 3.9E+02 49867.1 15 SAFH 75 14 0 1 78 14 1.3E+02 53218 16 SAFH 83 15 0 1 1.3E+02 13 1.1E+02 59714.9 17 SAFH 87 16 0 1 74 11 33 60028.4 18 SAFH 93 17 0 1 2.6E+02 10 1.3E+03 69835.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 97 18 0 1 1.2E+02 10 4.8E+02 74162.7 20 SAFH 101 19 0 1 1.3E+02 10 3.2E+02 74251.6 21 SAFH 105 20 0 1 70 10 1.2E+02 75736.9 22 SAFH 108 21 0 1 69 7 23 77362 23 SAFH 112 22 0 1 7.6E+02 8 32 23912.9 24 SAFH 116 23 0 1 6.9E+02 18 2E+03 38546.6 25 SAFG 124 24 0 1 7.9E+02 0 8.4E-10 60233.9 25 FOUND SOLUTION: 60233.9 (NLP) in 1 sec. 26 SAFH 124 24 0 1 32 5 45 59226.3 27 SAFG 126 25 0 1 32 0 8.6E-07 60233.9 27 FOUND SOLUTION: 60233.9 (NLP) in 1 sec. 28 SAFH 126 25 0 1 14 5 10 59591.5 29 SAFH 128 26 0 1 30 5 30 59855.1 30 SAFH 130 27 0 1 15 5 2.2 60044.7 31 SAFH 133 28 0 1 6.7 4 0.63 60203.9 32 SAFH 134 29 0 1 2.9 4 0.29 60215.9 33 SAFH 136 30 0 1 1.8 4 0.051 60230.6 34 SAFH 137 31 0 1 0.8 4 0.017 60232.9 35 SAFH 139 32 0 1 0.4 4 0.0074 60233.7 36 SAFH 140 33 0 1 0.0042 3 0.0032 60233.7 37 SAFH 141 34 0 1 0.2 3 0.00081 60233.9 38 SAFH 142 35 0 1 0.1 3 0.00022 60233.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 143 36 0 1 0.00015 2 0.0002 60233.9 40 SAFH 144 37 0 1 0.05 2 5E-05 60233.9 41 SAFH 145 38 0 1 0.025 2 1.3E-05 60233.9 42 SAFH 146 39 0 1 0.013 2 3.1E-06 60233.9 43 SAFH 147 40 0 1 0.0063 1 1.5E-06 60233.9 44 SAFJ 148 41 0 1 4.5E-07 0 7.9E-07 60233.9 45 SAFH 148 41 0 0.5 8.6E+02 8 29 22915.9 46 SAFH 149 42 0 0.5 23 5 24 23332.9 47 SAFG 150 43 0 0.5 8.7E+02 0 1.8E-09 8625 47 FOUND SOLUTION: 8625 (NLP) in 2 sec. 48 SAFH 150 43 0 0.5 6.7 4 15 8625 49 SAFH 152 44 0 0.5 5.2 3 2.3 8625 50 SAFH 153 45 0 0.5 1 2 0.78 8625 51 SAFH 154 46 0 0.5 0.39 2 0.042 8625 52 SAFH 155 47 0 0.5 0.021 2 0.0037 8625 53 SAFH 156 48 0 0.5 0.0019 1 1.2E-05 8625 54 SAFJ 157 49 0 0.5 6E-06 0 8.3E-08 8625 55 SAFJ 157 49 0 0.3 0 0 8.3E-08 8625 56 SAFJ 157 49 0 0.2 0 0 8.3E-08 8625 57 SAFJ 157 49 0 0.1 0 0 8.3E-08 8625 58 AFG 157 49 0 0 1.5E+02 0 9.1E-13 8278.47 58 FOUND SOLUTION: 8278.47 (NLP) in 4 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 157 49 0 0 12 3 22 8085 60 AFH 158 50 0 0 17 3 19 8085 61 AFH 159 51 0 0 62 3 20 8085 62 AFH 160 52 0 0 17 3 44 8085 63 AFH 161 53 0 0 22 3 12 8085 64 AFH 162 54 0 0 32 4 24 8085 65 AFH 163 55 0 0 8.5 3 9.5 8085 66 AFH 164 56 0 0 1.1E+02 3 18 8092.5 67 AFH 165 57 0 0 49 2 29 8092.5 68 AFG 166 58 0 0 70 0 9.1E-07 8092.5 68 FOUND SOLUTION: 8092.5 (NLP) in 12 sec. 69 AFH 166 58 0 0 0.46 2 1 8092.5 70 AFH 167 59 0 0 0.45 2 0.02 8092.5 71 AFH 168 60 0 0 70 2 14 8092.5 72 AFH 169 61 0 0 25 2 2.6 8092.5 73 AFH 170 62 0 0 67 2 0.0046 8092.5 74 AFH 171 63 0 0 46 2 0.69 8092.5 75 AFH 172 64 0 0 67 1 2.3E-06 8092.5 76 AFH 173 65 0 0 45 2 0.035 8092.5 77 AFJ 174 66 0 0 45 0 8.7E-08 8092.5 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.10_clay0205m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 8092.5 Max constraint (7) : 9.1313813754823058844e-07 Alternative solution : MIP Alt. objective value : 8092.5 Max constraint (7) : 9.1313813754823058844e-07 Time used (seconds) : 22.67 Time limit (seconds) : 7200 Iterations used : 77 Iteration limit : -1 Function evaluations : 6560 Gradient evaluations : 174 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 2.3 % MIP time usage : 97.6 % Optimal/total MIPs : 20/77 NLP solver calls : 78 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0205m.gms(353) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0205m.gms Stop 09/14/12 14:37:55 elapsed 0:00:22.712 @04 1347626275 ----------------------------- Fr 14. Sep 14:37:55 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0303h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0303h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0303h.gms(448) 2 Mb --- Starting execution: elapsed 0:00:00.036 --- clay0303h.gms(446) 3 Mb --- Generating MINLP model m --- clay0303h.gms(448) 5 Mb --- 151 rows 100 columns 424 non-zeroes --- 1,224 nl-code 108 nl-non-zeroes --- 21 discrete-columns --- clay0303h.gms(448) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.077 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.11_clay0303h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 424 elements of which 25% are non-linear(NL) included in 151 constraints of which 24% are NL The NL constraint signs: =E=(0), =G=(0), =L=(36) The number of variables in NL elements are 27 from a total of 100 variables: Continuous(79), Binary(21), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (132) infeasibile 0 H 0 0 0 1 0 36 2.4E+04 NA 1 SAFH 36 1 0 1 2.7E+02 12 2.5E+03 4330 2 SAFH 48 2 0 1 3E+02 5 36 3930 3 SAFH 50 3 0 1 90 8 7.4E+03 3930 4 SAFH 58 4 0 1 3.1E+02 4 36 4320 5 SAFH 60 5 0 1 2.3E+02 7 5.9E+03 5690 6 SAFH 64 6 0 1 2.2E+02 7 5E+02 12975.7 7 SAFH 68 7 0 1 3.7E+02 4 9 4320 8 SAFH 72 8 0 1 3.6E+02 5 9 4530 9 SAFH 75 9 0 1 3.7E+02 5 10 3560 10 SAFH 78 10 0 1 1.8E+02 5 12 4320 11 SAFH 81 11 0 1 1E+03 12 3.7E+02 4330 12 SAFH 87 12 0 1 1.6E+02 10 1.1E+02 4330 13 SAFG 91 13 0 1 1.4E+03 0 1.1E-10 26669.1 13 FOUND SOLUTION: 26669.1 (NLP) in 1 sec. 14 SAFH 91 13 0 1 5.2E+02 12 1.5E+03 3560 15 SAFH 99 14 0 1 1.1E+03 6 6.6E+02 13082.6 16 SAFH 102 15 0 1 5.3E+02 3 11 3560 17 SAFH 104 16 0 1 6.7E+02 6 2E+03 23958 18 SAFH 108 17 0 1 3.5E+02 7 9.1E+02 40629.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 112 18 0 1 1.5E+03 11 4.9E+02 8564.85 20 SAFH 117 19 0 1 1.1E+03 8 1.9E+02 16856.5 21 SAFH 119 20 0 1 75 7 79 17452.6 22 SAFH 120 21 0 1 33 7 48 19565.2 23 SAFH 123 22 0 1 1.4E+03 4 15 40484.4 24 SAFH 125 23 0 1 1.7E+02 6 9.6 41371.2 25 SAFH 127 24 0 1 23 4 2.9 41676.3 26 SAFH 130 25 0 1 20 4 4.5 41837.2 27 SAFH 132 26 0 1 7.6 3 0.8 41847 28 SAFH 134 27 0 1 7.7 3 0.21 41852.5 29 SAFH 136 28 0 1 3.3 3 0.078 41858.3 30 SAFH 138 29 0 1 1.5 4 0.23 41860.8 31 SAFH 139 30 0 1 0.19 4 0.019 41861 32 SAFH 141 31 0 1 0.6 3 0.0048 41862.3 33 SAFH 142 32 0 1 0.29 3 0.0012 41862.5 34 SAFH 143 33 0 1 0.15 3 0.0003 41862.5 35 SAFH 144 34 0 1 0.073 3 7.5E-05 41862.5 36 SAFH 145 35 0 1 0.037 3 4.7E-05 41862.5 37 SAFH 146 36 0 1 5.5E-05 2 1.9E-05 41862.5 38 SAFH 147 37 0 1 0.018 2 4.7E-06 41862.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 148 38 0 1 0.0092 2 1.2E-06 41862.5 40 SAFH 149 39 0 1 1.4E-06 1 1.2E-06 41862.5 41 SAFJL 150 40 0 1 0.0046 0 2.9E-07 41862.5 42 SAFH 114 39 0 0.5 1.9E+03 6 33 3560 43 SAFH 117 40 0 0.5 1.5E+03 3 27 21421.4 44 SAFH 119 41 0 0.5 1.1E+03 5 16 20331.6 45 SAFH 120 42 0 0.5 1.1E+03 6 77 4919.81 46 SAFH 122 43 0 0.5 2E+03 8 68 3930 47 SAFH 126 44 0 0.5 1.8E+03 5 21 18944.8 48 SAFH 128 45 0 0.5 2.1E+03 5 18 20101.6 49 SAFH 131 46 0 0.5 1.3E+03 5 13 21568.1 50 SAFH 134 47 0 0.5 1E+03 4 18 20731.6 51 SAFH 136 48 0 0.5 3.4E+02 3 2.5 36334.1 52 SAFH 138 49 0 0.5 1.1E+03 5 12 26371.2 53 SAFH 140 50 0 0.5 5.7E+02 8 55 25387.1 54 SAFH 142 51 0 0.5 2E+03 3 5.2 41359 55 SAFH 144 52 0 0.5 1.7E+03 3 3.9 36346 56 SAFH 145 53 0 0.5 3.8 3 1.1 36352.2 57 SAFH 146 54 0 0.5 4.2E+02 3 0.28 36387.5 58 SAFH 149 55 0 0.5 2.6 3 0.073 36395 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 150 56 0 0.5 1.2 3 0.021 36397.4 60 SAFH 151 57 0 0.5 0.61 3 0.0051 36397.7 61 SAFH 152 58 0 0.5 0.31 3 0.002 36397.8 62 SAFH 155 59 0 0.5 0.16 1 0.00032 36397.9 63 SAFH 156 60 0 0.5 0.076 1 8.1E-05 36397.9 64 SAFH 157 61 0 0.5 7.4E+02 1 2E-05 36397.9 65 SAFH 158 62 0 0.5 0.019 1 5.1E-06 36397.9 66 SAFH 159 63 0 0.5 0.0095 1 1.3E-06 36397.9 67 SAFJ 160 64 0 0.5 0.0048 0 3.2E-07 36397.9 68 SAFJ 160 64 0 0.3 0 0 3.2E-07 36397.9 69 SAFJ 160 64 0 0.2 0 0 3.2E-07 36397.9 70 SAFJ 160 64 0 0.1 0 0 3.2E-07 36397.9 71 AFH 160 64 0 0 7.9E+02 3 12 25874.1 72 AFG 161 65 0 0 15 0 2.3E-07 26669.1 72 FOUND SOLUTION: 26669.1 (NLP) in 4 sec. 73 AFH 161 65 0 0 2.1 2 1.1 26555.3 74 AFH 163 66 0 0 4.3E+02 2 0.03 26665.6 75 AFH 165 67 0 0 0.065 2 2.8E-05 26669.1 76 AFH 166 68 0 0 8.4E+02 1 2.8E-05 26669.1 77 AFJ 167 69 0 0 4.2E+02 0 1.5E-07 26669.1 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.11_clay0303h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 26669.133711588590813 Max constraint (15) : 2.3439066145783725477e-07 Alternative solution : MIP Alt. objective value : 26669.133711588590813 Max constraint (15) : 2.3439066145783725477e-07 Time used (seconds) : 3.88 Time limit (seconds) : 7200 Iterations used : 77 Iteration limit : -1 Function evaluations : 7344 Gradient evaluations : 203 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 15.1 % MIP time usage : 84.4 % Optimal/total MIPs : 7/77 NLP solver calls : 78 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0303h.gms(448) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0303h.gms Stop 09/14/12 14:37:36 elapsed 0:00:04.052 @04 1347626256 ----------------------------- Fr 14. Sep 14:37:36 CEST 2012 ----------------------------- =ready= Linux opt207 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0303m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0303m.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0303m.gms(194) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- clay0303m.gms(192) 3 Mb --- Generating MIQCP model m --- clay0303m.gms(194) 5 Mb --- 67 rows 34 columns 208 non-zeroes --- 324 nl-code 72 nl-non-zeroes --- 21 discrete-columns --- clay0303m.gms(194) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.12_clay0303m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 208 elements of which 35% are non-linear(NL) included in 67 constraints of which 54% are NL The NL constraint signs: =E=(0), =G=(0), =L=(36) The number of variables in NL elements are 6 from a total of 34 variables: Continuous(13), Binary(21), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 39 6 53 4330 2 SAFG 2 1 0 1 3.1E+02 0 5.2E-08 55423.1 2 FOUND SOLUTION: 55423.1 (NLP) in 1 sec. 3 SAFH 2 1 0 1 3.1E+02 8 6.2E+03 4330 4 SAFG 6 2 0 1 1.6E+02 0 4.7E-10 29192.7 4 FOUND SOLUTION: 29192.7 (NLP) in 1 sec. 5 SAFH 6 2 0 1 1.6E+02 8 1.8E+03 4330 6 SAFH 10 3 0 1 72 12 6.8E+02 4330 7 SAFH 19 4 0 1 1.7E+02 12 4.8E+03 4330 8 SAFH 27 5 0 1 4 12 2.1E+03 4330 9 SAFH 38 6 0 1 2.5E+02 12 7.9E+02 4330 10 SAFH 45 7 0 1 61 12 2.4E+02 4330 11 SAFH 52 8 0 1 96 12 5.3E+02 4330 12 SAFH 59 9 0 1 50 10 1.4E+02 4330 13 SAFH 65 10 0 1 27 8 77 4330 14 SAFH 69 11 0 1 2.1E+02 8 65 3760 15 SAFH 72 12 0 1 36 6 81 4160 16 SAFH 74 13 0 1 35 4 9 4320 17 SAFH 78 14 0 1 43 4 75 4160 18 SAFH 80 15 0 1 26 6 12 4320 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 83 16 0 1 14 3 36 4465.88 20 SAFH 84 17 0 1 41 4 16 3900 21 SAFH 87 18 0 1 12 5 9.3 4372.26 22 SAFH 89 19 0 1 22 4 20 3919.57 23 SAFH 92 20 0 1 41 6 31 4330 24 SAFH 94 21 0 1 1.3E+02 8 1E+02 18849.3 25 SAFH 97 22 0 1 21 6 24 19176.1 26 SAFH 99 23 0 1 13 5 9.2 19379.2 27 SAFH 102 24 0 1 1.5E+02 4 23 27739 28 SAFH 104 25 0 1 1.5E+02 4 10 21616.8 29 SAFH 107 26 0 1 7.7 6 4.9 22312 30 SAFH 110 27 0 1 52 6 2.1E+03 18902.2 31 SAFH 114 28 0 1 99 5 9.1E+02 31301 32 SAFH 118 29 0 1 97 5 5.3E+02 31313.9 33 SAFH 121 30 0 1 49 5 2.3E+02 36825.1 34 SAFH 123 31 0 1 47 5 1.3E+02 37692.2 35 SAFH 125 32 0 1 26 3 53 39847.3 36 SAFH 127 33 0 1 21 3 27 40528.6 37 SAFH 129 34 0 1 12 3 10 41205.4 38 SAFH 131 35 0 1 8.3 4 8.2 41709.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 133 36 0 1 3 4 2.1 41773.2 40 SAFH 134 37 0 1 3.7 3 0.8 41880.6 41 SAFH 136 38 0 1 4.5 2 0.21 41894.4 42 SAFH 138 39 0 1 1.1 2 0.065 41902.1 43 SAFH 140 40 0 1 1.4 3 0.23 41905.6 44 SAFH 141 41 0 1 0.097 3 0.022 41905.9 45 SAFH 143 42 0 1 0.64 2 0.0056 41907 46 SAFH 145 43 0 1 0.32 2 0.0014 41907.4 47 SAFH 146 44 0 1 0.079 2 0.00081 41907.4 48 SAFH 147 45 0 1 0.081 2 0.00035 41907.4 49 SAFH 148 46 0 1 0.04 2 0.0002 41907.5 50 SAFH 149 47 0 1 0.04 2 8.8E-05 41907.5 51 SAFH 150 48 0 1 0.02 2 5.1E-05 41907.5 52 SAFH 151 49 0 1 0.02 2 2.2E-05 41907.5 53 SAFH 152 50 0 1 0.0099 2 1.3E-05 41907.5 54 SAFH 153 51 0 1 0.01 2 5.5E-06 41907.5 55 SAFH 154 52 0 1 0.005 2 3.2E-06 41907.5 56 SAFH 155 53 0 1 0.005 1 1.4E-06 41907.5 57 SAFJ 156 54 0 1 0.0025 0 7.9E-07 41907.5 58 SAFH 156 54 0 0.5 4.2E+02 7 41 3900 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 159 55 0 0.5 1.2E+02 10 2.8E+02 14450.8 60 SAFH 165 56 0 0.5 1.3E+02 5 54 4413.16 61 SAFJ 167 57 0 0.5 4.1E+02 0 7.9E-07 41737.5 62 SAFJ 167 57 0 0.3 0 0 7.9E-07 41737.5 63 SAFJ 167 57 0 0.2 0 0 7.9E-07 41737.5 64 SAFJ 167 57 0 0.1 0 0 7.9E-07 41737.5 65 AFH 167 57 0 0 2.6E+02 7 84 17701.1 66 AFH 170 58 0 0 2E+02 9 2.3E+03 18149.8 67 AFH 174 59 0 0 82 8 4.2E+02 18784.6 68 AFH 177 60 0 0 55 8 1.5E+02 18973 69 AFH 179 61 0 0 1.6E+02 5 26 19367.5 70 AFH 183 62 0 0 31 4 20 20161.3 71 AFH 185 63 0 0 1.6E+02 4 39 20193.3 72 AFH 187 64 0 0 1.5E+02 2 20 20287.2 73 AFH 189 65 0 0 20 4 7 20690.3 74 AFH 193 66 0 0 71 6 6.1E+02 21696.7 75 AFG 197 67 0 0 93 0 5.5E-11 26669.1 75 FOUND SOLUTION: 26669.1 (NLP) in 3 sec. 76 AH 197 67 0 0 43 6 1.7E+02 23838.3 77 AFH 200 68 0 0 43 7 1E+02 24755.3 78 AFH 202 69 0 0 34 6 39 25023 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 203 70 0 0 22 5 21 25579 80 AFH 205 71 0 0 34 5 7.1 25649.7 81 AFH 208 72 0 0 10 5 8 26516.5 82 AFH 209 73 0 0 4.9 5 3.5 26542.6 83 AFH 210 74 0 0 1.7 5 1.4 26546.9 84 AFH 212 75 0 0 2.1 4 0.93 26610.5 85 AFH 213 76 0 0 0.5 4 0.19 26644.6 86 AFG 215 77 0 0 4.1 0 1E-07 26669.1 86 FOUND SOLUTION: 26669.1 (NLP) in 3 sec. 87 AFH 215 77 0 0 0.039 4 0.06 26663.8 88 AFH 216 78 0 0 0.036 4 0.01 26668.6 89 AFH 217 79 0 0 2 4 0.0011 26669 90 AFH 219 80 0 0 0.0006 2 4.7E-05 26669.1 91 AFH 220 81 0 0 2.8E-05 1 1.2E-06 26669.1 92 AFJ 221 82 0 0 6.7E-07 0 4E-08 26669.1 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.12_clay0303m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 26669.109560801884072 Max constraint (15) : 1.0093026503454893827e-07 Alternative solution : MIP Alt. objective value : 26669.109560801884072 Max constraint (15) : 1.0093026503454893827e-07 Time used (seconds) : 2.96 Time limit (seconds) : 7200 Iterations used : 92 Iteration limit : -1 Function evaluations : 4896 Gradient evaluations : 221 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 18.2 % MIP time usage : 81.3 % Optimal/total MIPs : 28/92 NLP solver calls : 92 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0303m.gms(194) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0303m.gms Stop 09/14/12 14:37:35 elapsed 0:00:03.020 @04 1347626255 ----------------------------- Fr 14. Sep 14:37:35 CEST 2012 ----------------------------- =ready= Linux opt208 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0304h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0304h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0304h.gms(713) 2 Mb --- Starting execution: elapsed 0:00:00.024 --- clay0304h.gms(711) 3 Mb --- Generating MINLP model m --- clay0304h.gms(713) 5 Mb --- 259 rows 177 columns 729 non-zeroes --- 1,632 nl-code 144 nl-non-zeroes --- 36 discrete-columns --- clay0304h.gms(713) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.031 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.13_clay0304h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 729 elements of which 20% are non-linear(NL) included in 259 constraints of which 19% are NL The NL constraint signs: =E=(0), =G=(0), =L=(48) The number of variables in NL elements are 36 from a total of 177 variables: Continuous(141), Binary(36), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=40 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (233) infeasibile 0 H 0 0 0 1 0 48 2.4E+04 NA 1 SAFH 48 1 0 1 5.1E+02 16 2.5E+03 8075 2 SAFH 63 2 0 1 2.2E+02 12 5.7E+03 8075 3 SAFH 71 3 0 1 1.5E+03 16 4.8E+02 8365 4 SAFH 83 4 0 1 4.8E+02 14 3.5E+02 8365 5 SAFH 89 5 0 1 1.6E+03 7 20 6895 6 SAFH 91 6 0 1 1.8E+03 13 97 7315 7 SAFH 97 7 0 1 1.8E+03 16 1.9E+03 11960 8 SAFH 111 8 0 1 1.7E+03 5 36 8115 9 SAFH 112 9 0 1 6.3E+02 7 13 8385 10 SAFH 115 10 0 1 5.5E+02 8 25 7718.33 11 SAFH 116 11 0 1 21 8 9 8090 12 SAFG 122 12 0 1 1.6E+03 0 1.8E-12 60553.3 12 FOUND SOLUTION: 60553.3 (NLP) in 1 sec. 13 SAFH 122 12 0 1 3.3E+02 9 1.4E+03 41387.9 14 SAFH 126 13 0 1 2.5E+02 9 5E+02 45258.9 15 SAFH 129 14 0 1 1.1E+03 5 36 7440.78 16 SAFH 130 15 0 1 4E+02 5 17 6900 17 SAFH 133 16 0 1 5.9E+02 4 9 7245 18 SAFG 136 17 0 1 1.5E+03 0 3.3E-12 59269.1 18 FOUND SOLUTION: 59269.1 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 136 17 0 1 1.4E+02 6 2.5E+02 51990.7 20 SAFH 138 18 0 1 1.2E+02 5 1.2E+02 53124.6 21 SAFH 139 19 0 1 66 4 61 56661.3 22 SAFH 141 20 0 1 2.2E+03 12 1.9E+03 64298.5 23 SAFH 145 21 0 1 2E+02 12 5.8E+02 65988 24 SAFH 153 22 0 1 1.8E+03 4 16 7214.16 25 SAFH 155 23 0 1 1.5E+03 11 85 29898.8 26 SAFH 158 24 0 1 1.9E+03 7 51 30643.8 27 SAFH 160 25 0 1 1.6E+03 7 2.8E+02 65319.5 28 SAFH 163 26 0 1 1.1E+02 7 1.4E+02 71935.8 29 SAFH 165 27 0 1 90 6 66 73626.3 30 SAFH 167 28 0 1 52 5 30 76587.8 31 SAFH 169 29 0 1 2.6E+03 13 1.3E+03 31898.6 32 SAFH 173 30 0 1 2.4E+03 8 25 49438.8 33 SAFH 176 31 0 1 1.3E+03 11 72 24184.3 34 SAFH 178 32 0 1 9E+02 5 17 30516.2 35 SAFH 180 33 0 1 1.7E+03 8 26 30375.7 36 SAFH 182 34 0 1 2.5E+03 8 5.2E+02 37505.1 37 SAFH 186 35 0 1 2.1E+03 12 1.8E+02 37209.9 38 SAFH 189 36 0 1 2.7E+03 4 14 76602.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 191 37 0 1 35 5 4.6 77904 40 SAFH 194 38 0 1 2.9E+02 4 7.9 76644.6 41 SAFH 195 39 0 1 15 3 1.4 76786.5 42 SAFH 197 40 0 1 1.7E+03 10 1.2E+02 83451.7 43 SAFH 199 41 0 1 6.5E+02 8 24 83746.7 44 SAFH 202 42 0 1 2.8E+03 9 1.4E+02 60785.9 45 SAFH 205 43 0 1 1.5E+03 11 36 40786.8 46 SAFH 209 44 0 1 2.9E+03 4 1.2 78093.1 47 SAFH 212 45 0 1 1.7E+03 10 2.5E+02 38578.6 48 SAFH 216 46 0 1 66 10 64 39037 49 SAFH 219 47 0 1 40 8 16 39333.9 50 SAFH 222 48 0 1 1.8E+03 3 0.31 78202.8 51 SAFH 224 49 0 1 5.7 3 0.082 78231.6 52 SAFH 226 50 0 1 3.5 3 0.021 78235.7 53 SAFH 228 51 0 1 1.5 3 0.0054 78237.7 54 SAFH 231 52 0 1 2.1 4 0.23 78238.2 55 SAFH 232 53 0 1 3.3E+02 4 1.8 78121.8 56 SAFH 233 54 0 1 1.5 4 0.74 78155.9 57 SAFG 235 55 0 1 2.1E+03 0 2.4E-10 58987.7 57 FOUND SOLUTION: 58987.7 (NLP) in 4 sec. 58 SAFH 235 55 0 1 34 6 12 58578.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 237 56 0 1 2.1E+03 10 26 29665 60 SAFH 240 57 0 1 1.9E+03 9 46 62250.4 61 SAFH 242 58 0 1 9.9E+02 7 12 31924.3 62 SAFH 245 59 0 1 1.7E+03 4 2.2 77694.8 63 SAFG 246 60 0 1 5.6E+02 0 4.3E-10 41359.6 63 FOUND SOLUTION: 41359.6 (NLP) in 4 sec. 64 SAFH 246 60 0 1 34 5 26 38655.7 65 SAFH 247 61 0 1 23 4 4.1 40795.4 66 SAFH 249 62 0 1 5.1 4 0.7 41277.1 67 SAFH 251 63 0 1 9.1 4 0.25 41312.7 68 SAFH 254 64 0 1 3 4 0.12 41351.2 69 SAFH 255 65 0 1 2.2 4 0.047 41357.1 70 SAFG 257 66 0 1 2.6 0 4.2E-08 41359.6 70 FOUND SOLUTION: 41359.6 (NLP) in 5 sec. 71 SAFH 257 66 0 1 1.6 4 0.013 41358.9 72 SAFH 259 67 0 1 1.1 4 0.0032 41359.1 73 SAFH 263 68 0 1 0.57 2 0.0008 41359.6 74 SAFH 264 69 0 1 0.17 2 0.00051 41359.6 75 SAFH 265 70 0 1 0.16 2 0.0002 41359.6 76 SAFH 266 71 0 1 0.087 2 0.00016 41359.6 77 SAFH 267 72 0 1 0.082 2 5E-05 41359.6 78 SAFH 268 73 0 1 1.7E+03 2 3.6 58801.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 270 74 0 1 37 3 4.1 59192.4 80 SAFH 271 75 0 1 4.3 3 1.2 59214.7 81 SAFH 272 76 0 1 15 3 0.33 59230.2 82 SAFH 274 77 0 1 12 2 0.11 59258.9 83 SAFH 276 78 0 1 6.2 2 0.028 59266.9 84 SAFH 278 79 0 1 1.5E+03 7 14 51080.2 85 SAFH 280 80 0 1 1.7E+03 3 2.4 43138.3 86 SAFH 281 81 0 1 1.3E+03 4 3.4 77222.1 87 SAFH 282 82 0 1 15 3 1.2 77331.6 88 SAFH 283 83 0 1 6.5 3 0.31 77347.7 89 SAFH 285 84 0 1 6.6 3 0.1 77357 90 SAFH 286 85 0 1 2 3 0.05 77359.1 91 SAFH 288 86 0 1 2.3E+03 3 3.7 62062.3 92 SAFH 289 87 0 1 3E+03 5 13 58529 93 SAFH 290 88 0 1 17 5 5.4 58600.9 94 SAFH 294 89 0 1 2.6E+03 2 0.0073 59518.2 95 SAFH 296 90 0 1 1.2 2 0.0021 59518.9 96 SAFH 298 91 0 1 0.81 2 0.00052 59519 97 SAFH 299 92 0 1 0.13 2 0.00047 59519.1 98 SAFH 300 93 0 1 0.27 2 0.00013 59519.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 301 94 0 1 0.064 2 0.00012 59519.1 100 SAFH 302 95 0 1 0.14 2 3.2E-05 59519.1 101 SAFH 303 96 0 1 0.032 2 2.9E-05 59519.1 102 SAFH 304 97 0 1 9.5E+02 4 2.5 62351.6 103 SAFH 306 98 0 1 1.3E+03 5 8.6 60576 104 SAFH 307 99 0 1 2.1E+03 3 8.1 58885.6 105 SAFH 308 100 0 1 40 4 16 59343.2 106 SAFH 310 101 0 1 2E+03 4 0.082 79712.4 107 SAFH 311 102 0 1 2.3E+03 6 21 51006.8 108 SAFH 313 103 0 1 2.2E+03 3 0.62 62388.8 109 SAFH 314 104 0 1 1E+03 3 0.74 58604.2 110 SAFH 315 105 0 1 1.6 3 0.43 58606.2 111 SAFH 316 106 0 1 0.88 3 0.0043 58633.2 112 SAFH 317 107 0 1 3.9E+02 3 3.9 59397.4 113 SAFH 318 108 0 1 2.2E+02 5 20 61679.1 114 SAFH 319 109 0 1 4.2E+02 2 8.1E-06 59519.1 115 SAFH 320 110 0 1 0.016 2 7.3E-06 59519.1 116 SAFH 321 111 0 1 2.6E+03 4 3.8 76994.5 117 SAFH 324 112 0 1 13 5 1.5 77501.7 118 SAFH 327 113 0 1 2.9E+03 6 4.1 50474.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 330 114 0 1 1.4E+03 3 5.9 65982.1 120 SAFG 331 115 0 1 2E+03 0 1.9E-08 40964.5 120 FOUND SOLUTION: 40964.5 (NLP) in 8 sec. 121 SAFH 331 115 0 1 0.92 3 0.68 40937.8 122 SAFH 332 116 0 1 1.6E+03 2 2E-06 59519.1 123 SAFH 333 117 0 1 0.008 1 1.8E-06 59519.1 124 SAFH 334 118 0 1 7.1E+02 4 4.3 59137.2 125 SAFH 335 119 0 1 8.5 3 0.72 59139.1 126 SAFH 336 120 0 1 0.98 3 0.32 59162.2 127 SAFH 338 121 0 1 4.4 2 0.08 59166.3 128 SAFH 339 122 0 1 2 2 0.02 59170.3 129 SAFH 341 123 0 1 2.2E+03 3 1 61272.9 130 SAFH 342 124 0 1 1.6E+03 3 0.76 41908.7 131 SAFH 344 125 0 1 1.6E+03 2 2.1 58950.1 132 SAFH 345 126 0 1 1.5E+03 5 2.1 63240.1 133 SAFH 348 127 0 1 2.9E+03 5 1.5 79645.6 134 SAFH 349 128 0 1 2.2E+03 2 0.069 58996.9 135 SAFH 351 129 0 1 2.5E+03 7 16 64730.4 136 SAFH 352 130 0 1 2.5E+03 2 6.7E-05 59002.6 137 SAFH 353 131 0 1 2.5E+03 6 4 65090.4 138 SAFH 355 132 0 1 2.5E+03 1 6.7E-05 59002.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFJL 356 133 0 1 0.00015 0 5.1E-07 59002.6 140 SAFG 308 132 0 0.5 1.8E+03 0 0 40929.6 140 FOUND SOLUTION: 40929.6 (NLP) in 10 sec. 141 SAFH 308 132 0 0.5 2.1 2 0.013 40929.4 142 SAFJ 309 133 0 0.5 1.9E+03 0 5.1E-07 59269.1 143 SAFJ 309 133 0 0.3 0 0 5.1E-07 59269.1 144 SAFJ 309 133 0 0.2 0 0 5.1E-07 59269.1 145 SAFJ 309 133 0 0.1 0 0 5.1E-07 59269.1 146 AFH 309 133 0 0 2.4E+03 5 1.2 37890.6 147 AFH 311 134 0 0 8.5E+02 6 1 38023.2 148 AFH 312 135 0 0 1.5E+03 6 8 38225.3 149 AFG 313 136 0 0 2.7E+03 0 4.4E-08 40262.4 149 FOUND SOLUTION: 40262.4 (NLP) in 13 sec. 150 AFH 313 136 0 0 0.99 3 0.49 40221.4 151 AFH 314 137 0 0 0.88 3 0.15 40260.6 152 AFG 315 138 0 0 2.2E+02 0 2.3E-08 40262.4 152 FOUND SOLUTION: 40262.4 (NLP) in 14 sec. 153 AFH 315 138 0 0 0.11 3 0.052 40260.9 154 AFH 316 139 0 0 4.4E+02 3 0.0017 40262.3 155 AFH 317 140 0 0 4.4E+02 2 0.00025 40262.4 156 AFH 318 141 0 0 6.6E+02 1 1.9E-05 40262.4 157 AFG 319 142 0 0 6.6E+02 0 1.7E-07 40262.4 157 FOUND SOLUTION: 40262.4 (NLP) in 17 sec. 158 AFJ 319 142 0 0 2.4E-14 0 1.7E-07 40262.4 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.13_clay0304h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 40262.423816544142028 Max constraint (21) : 1.7470864995084411765e-07 Alternative solution : MIP Alt. objective value : 40262.423816544142028 Max constraint (21) : 1.7470864995084411765e-07 Time used (seconds) : 16.55 Time limit (seconds) : 7200 Iterations used : 158 Iteration limit : -1 Function evaluations : 10224 Gradient evaluations : 367 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 8.2 % MIP time usage : 91.7 % Optimal/total MIPs : 13/158 NLP solver calls : 159 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0304h.gms(713) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0304h.gms Stop 09/14/12 14:37:49 elapsed 0:00:16.609 @04 1347626269 ----------------------------- Fr 14. Sep 14:37:49 CEST 2012 ----------------------------- =ready= Linux opt209 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0304m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0304m.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0304m.gms(285) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- clay0304m.gms(283) 3 Mb --- Generating MIQCP model m --- clay0304m.gms(285) 5 Mb --- 107 rows 57 columns 337 non-zeroes --- 432 nl-code 96 nl-non-zeroes --- 36 discrete-columns --- clay0304m.gms(285) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.14_clay0304m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 337 elements of which 28% are non-linear(NL) included in 107 constraints of which 45% are NL The NL constraint signs: =E=(0), =G=(0), =L=(48) The number of variables in NL elements are 8 from a total of 57 variables: Continuous(21), Binary(36), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 77 6 1.1E+02 8365 2 SAFH 2 1 0 1 2 7 5.8E+03 8365 3 SAFH 6 2 0 1 2 7 1.6E+03 8365 4 SAFH 10 3 0 1 92 16 7.8E+02 8365 5 SAFH 18 4 0 1 2.4E+02 16 4.8E+03 8365 6 SAFH 26 5 0 1 4 16 2.1E+03 8365 7 SAFH 41 6 0 1 3.7E+02 16 1.8E+03 8365 8 SAFH 49 7 0 1 93 16 3.3E+02 8365 9 SAFH 57 8 0 1 48 12 86 8365 10 SAFH 63 9 0 1 1.1E+02 16 6.5E+02 8365 11 SAFH 78 10 0 1 4E+02 10 1.1E+02 8380 12 SAFH 82 11 0 1 1.2E+02 12 8.5E+02 19023.6 13 SAFH 86 12 0 1 1.2E+02 10 1.8E+02 8632.5 14 SAFG 88 13 0 1 3.7E+02 0 0 58356.8 14 FOUND SOLUTION: 58356.8 (NLP) in 1 sec. 15 SAFH 88 13 0 1 2.4E+02 11 1.8E+03 26585.1 16 SAFH 92 14 0 1 99 11 3.8E+02 23199 17 SAFH 95 15 0 1 52 11 92 26043.5 18 SAFH 99 16 0 1 37 6 20 29598.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 103 17 0 1 18 6 12 31022.4 20 SAFH 106 18 0 1 7.7 7 4.6 31397.1 21 SAFH 108 19 0 1 3.6E+02 11 3.2E+03 28556.9 22 SAFH 112 20 0 1 1.6E+02 11 9.3E+02 35455.9 23 SAFH 116 21 0 1 81 10 76 25919.6 24 SAFH 118 22 0 1 1.4E+02 10 2E+03 33368.3 25 SAFH 122 23 0 1 29 11 46 35670.2 26 SAFH 125 24 0 1 37 8 31 38399.1 27 SAFH 128 25 0 1 2E+02 9 8.6E+02 53935.9 28 SAFH 132 26 0 1 2.4E+02 15 5E+02 60965.7 29 SAFH 143 27 0 1 93 15 5.6E+02 68552.9 30 SAFH 147 28 0 1 58 15 2.1E+02 69616.5 31 SAFH 152 29 0 1 69 14 1E+02 73466.3 32 SAFH 159 30 0 1 5.8E+02 9 79 56417 33 SAFH 162 31 0 1 54 5 26 57945.6 34 SAFH 165 32 0 1 25 6 32 59705 35 SAFH 167 33 0 1 5.1E+02 8 20 26935.2 36 SAFH 171 34 0 1 2.2E+02 12 1.6E+03 38051.3 37 SAFH 175 35 0 1 1.4E+02 14 3.8E+02 58568.3 38 SAFH 178 36 0 1 1.9E+02 14 4.8E+02 30682.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 181 37 0 1 94 12 1.6E+02 31433.2 40 SAFH 185 38 0 1 79 7 50 35631.2 41 SAFH 189 39 0 1 50 8 57 38416.3 42 SAFH 193 40 0 1 29 6 13 39387.6 43 SAFH 196 41 0 1 20 8 13 40665.5 44 SAFH 198 42 0 1 17 8 22 41852.2 45 SAFH 199 43 0 1 5.2E+02 7 44 59044.9 46 SAFH 201 44 0 1 2.3E+02 9 8.5E+02 68624.2 47 SAFH 205 45 0 1 2.8E+02 4 5.5 58941.3 48 SAFH 208 46 0 1 6.1E+02 8 90 70678.2 49 SAFH 209 47 0 1 6.2E+02 3 1.9 59367.1 50 SAFH 210 48 0 1 4 3 0.54 59506.9 51 SAFH 213 49 0 1 6.4E+02 8 25 74832.6 52 SAFG 216 50 0 1 5E+02 0 3.7E-10 41986.4 52 FOUND SOLUTION: 41986.4 (NLP) in 2 sec. 53 SAFH 216 50 0 1 4.3 5 3.4 41563.6 54 SAFH 218 51 0 1 2.7 5 1.5 41756.1 55 SAFH 221 52 0 1 1.6 5 0.083 41969.3 56 SAFH 225 53 0 1 0.13 5 0.0095 41986.2 57 SAFH 226 54 0 1 0.0056 4 0.00016 41986.4 58 SAFH 227 55 0 1 0.00011 3 0.00016 41986.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 228 56 0 1 0.00012 2 7.2E-05 41986.4 60 SAFH 229 57 0 1 5.6E-05 1 7.2E-05 41986.4 61 SAFJ 230 58 0 1 4.7E-05 0 8.7E-07 41986.4 61 FOUND SOLUTION: 41986.4 in 2 sec. 62 SAFH 230 58 0 0.5 2.4E+02 4 16 6554.82 63 SAFH 232 59 0 0.5 4.6E+02 4 41 7284.9 64 SAFH 235 60 0 0.5 6.2E+02 4 1.8 58239.6 65 SAFH 237 61 0 0.5 3.5 3 0.57 58342.4 66 SAFH 238 62 0 0.5 0.42 3 0.14 58351.2 67 SAFH 239 63 0 0.5 1.2 3 0.046 58351.4 68 SAFH 241 64 0 0.5 1.1 4 0.36 58354.3 69 SAFH 242 65 0 0.5 0.2 4 0.026 58354.9 70 SAFH 243 66 0 0.5 0.46 3 0.0065 58356.3 71 SAFH 244 67 0 0.5 0.23 3 0.0028 58356.6 72 SAFH 246 68 0 0.5 0.12 2 0.00041 58356.7 73 SAFH 247 69 0 0.5 0.057 2 0.0001 58356.8 74 SAFH 248 70 0 0.5 0.029 2 2.6E-05 58356.8 75 SAFH 249 71 0 0.5 0.014 2 1.3E-05 58356.8 76 SAFH 250 72 0 0.5 9.9E-06 1 6.4E-06 58356.8 77 SAFH 251 73 0 0.5 0.0071 1 1.6E-06 58356.8 78 SAFJ 252 74 0 0.5 0.0036 0 4E-07 58356.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFJ 252 74 0 0.3 0 0 4E-07 58356.8 80 SAFJ 252 74 0 0.2 0 0 4E-07 58356.8 81 SAFJ 252 74 0 0.1 0 0 4E-07 58356.8 82 AFH 252 74 0 0 4.3E+02 8 23 6922.17 83 AFH 253 75 0 0 41 5 36 7011.7 84 AFH 254 76 0 0 41 8 18 7122.17 85 AFH 256 77 0 0 4.5E+02 10 1.6E+02 24799 86 AFH 258 78 0 0 39 9 52 26529.2 87 AFH 262 79 0 0 57 8 35 28118.3 88 AFH 266 80 0 0 49 5 15 29362 89 AFH 268 81 0 0 2.5E+02 11 1.2E+02 34862.3 90 AFH 274 82 0 0 79 9 33 35441.1 91 AFH 275 83 0 0 23 7 23 35746.6 92 AFH 276 84 0 0 34 7 19 36532.9 93 AFH 279 85 0 0 42 5 5 37008.1 94 AFH 283 86 0 0 22 5 4.3 37802.7 95 AFH 286 87 0 0 51 7 18 37930.1 96 AFH 288 88 0 0 57 5 2 37996.4 97 AFH 290 89 0 0 57 6 12 38933.8 98 AFH 291 90 0 0 26 7 15 39313.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 292 91 0 0 24 7 2.8 39367 100 AFH 295 92 0 0 1.8E+02 7 10 39437.7 101 AFH 297 93 0 0 2E+02 5 2.8 39774.9 102 AFG 298 94 0 0 3.6E+02 0 1.5E-11 40262.4 102 FOUND SOLUTION: 40262.4 (NLP) in 6 sec. 103 AFH 298 94 0 0 9.6 5 15 39799.2 104 AFH 301 95 0 0 3.6E+02 6 1.5 39968.3 105 AFH 302 96 0 0 18 6 1.1 40087.1 106 AFH 304 97 0 0 3.6E+02 4 2.7 40088.5 107 AFH 307 98 0 0 5.3 3 0.69 40217.3 108 AFH 309 99 0 0 6.7 3 0.38 40230.7 109 AFG 310 100 0 0 2.3 0 6.7E-07 40262.4 109 FOUND SOLUTION: 40262.4 (NLP) in 7 sec. 110 AFH 310 100 0 0 0.0054 3 0.0071 40262.2 111 AFH 312 101 0 0 2 1 0.001 40262.3 112 AFJ 313 102 0 0 0.00068 0 6.7E-07 40262.4 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.14_clay0304m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 40262.387517592564109 Max constraint (3) : 6.7170458351029083133e-07 Alternative solution : MIP Alt. objective value : 40262.387517592564109 Max constraint (3) : 6.7170458351029083133e-07 Time used (seconds) : 7.23 Time limit (seconds) : 7200 Iterations used : 112 Iteration limit : -1 Function evaluations : 12144 Gradient evaluations : 313 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 9.0 % MIP time usage : 90.7 % Optimal/total MIPs : 31/112 NLP solver calls : 113 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0304m.gms(285) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0304m.gms Stop 09/14/12 14:37:40 elapsed 0:00:07.294 @04 1347626260 ----------------------------- Fr 14. Sep 14:37:40 CEST 2012 ----------------------------- =ready= Linux opt210 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0305h.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0305h.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0305h.gms(1043) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- clay0305h.gms(1041) 3 Mb --- Generating MINLP model m --- clay0305h.gms(1043) 5 Mb --- 396 rows 276 columns 1,116 non-zeroes --- 2,040 nl-code 180 nl-non-zeroes --- 55 discrete-columns --- clay0305h.gms(1043) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.15_clay0305h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1116 elements of which 16% are non-linear(NL) included in 396 constraints of which 15% are NL The NL constraint signs: =E=(0), =G=(0), =L=(60) The number of variables in NL elements are 45 from a total of 276 variables: Continuous(221), Binary(55), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=62 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (366) infeasibile 0 H 0 0 0 1 0 60 2.4E+04 NA 1 SAFH 60 1 0 1 1.1E+03 20 6.5E+03 15650 2 SAFH 72 2 0 1 5.6E+02 18 4.4E+03 15960 3 SAFH 76 3 0 1 1.7E+03 20 2.5E+03 10100 4 SAFH 89 4 0 1 8.9E+02 20 6.9E+02 10100 5 SAFH 93 5 0 1 2.6E+03 16 2.1E+03 19393.3 6 SAFH 99 6 0 1 2E+03 15 5.8E+03 23442.7 7 SAFH 103 7 0 1 2.8E+03 14 1.8E+03 50135.9 8 SAFH 111 8 0 1 3.3E+03 20 1.7E+03 40243.4 9 SAFH 121 9 0 1 4.2E+03 15 5.5E+02 54968.3 10 SAFH 129 10 0 1 3E+03 16 4.7E+02 53538.3 11 SAFH 134 11 0 1 3.6E+03 18 7.7E+02 17302.5 12 SAFH 138 12 0 1 3.7E+03 11 2.7E+02 14530.5 13 SAFH 140 13 0 1 1.9E+02 11 1.8E+02 14741.7 14 SAFH 142 14 0 1 99 10 70 15806.4 15 SAFH 144 15 0 1 3.7E+03 15 4E+02 14725 16 SAFH 146 16 0 1 4E+03 11 1.3E+02 60359.6 17 SAFH 149 17 0 1 4.5E+03 9 1.7E+02 18252.5 18 SAFH 153 18 0 1 3.2E+03 10 1.6E+02 20667.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 157 19 0 1 3.4E+03 5 1.6E+02 17300 20 SAFG 159 20 0 1 5E+03 0 9.1E-08 69161.2 20 FOUND SOLUTION: 69161.2 (NLP) in 3 sec. 21 SAFH 159 20 0 1 3E+02 13 5.3E+02 63831.4 22 SAFH 161 21 0 1 3.1E+03 16 1.3E+02 28664.3 23 SAFH 165 22 0 1 1.9E+03 13 84 60583.3 24 SAFH 168 23 0 1 3.6E+03 12 2.1E+02 74012.4 25 SAFH 171 24 0 1 3.2E+03 7 1.1E+02 22552.2 26 SAFH 173 25 0 1 2.8E+03 16 9.3E+02 67422.6 27 SAFH 177 26 0 1 3.6E+03 11 36 67123.2 28 SAFH 182 27 0 1 2.2E+03 13 81 46889.2 29 SAFH 185 28 0 1 3.8E+03 3 14 13215 30 SAFH 188 29 0 1 4.5E+03 3 36 13325 31 SAFH 191 30 0 1 4.6E+03 11 36 85459.4 32 SAFH 195 31 0 1 4.5E+03 10 36 85770.8 33 SAFH 198 32 0 1 3.6E+03 13 1.1E+02 43426.8 34 SAFH 200 33 0 1 4.8E+03 2 51 13480 35 SAFH 201 34 0 1 4E+03 7 29 24426.9 36 SAFH 203 35 0 1 7.2E+02 8 25 23052.3 37 SAFG 204 36 0 1 1.6E+03 0 1.8E-12 56812.5 37 FOUND SOLUTION: 56812.5 (NLP) in 5 sec. 38 SAFH 204 36 0 1 82 8 31 53491.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 205 37 0 1 42 7 20 55456.4 40 SAFH 207 38 0 1 1.4E+03 7 9.2 23939.8 41 SAFG 210 39 0 1 4.5E+03 0 8.5E-14 28720 41 FOUND SOLUTION: 28720 (NLP) in 6 sec. 42 SAFH 210 39 0 1 2.2E+02 7 99 27425.6 43 SAFH 211 40 0 1 1.4E+02 3 19 28266.1 44 SAFH 213 41 0 1 5.1E+03 4 9 57429.8 45 SAFH 216 42 0 1 5E+03 8 43 62488.2 46 SAFH 217 43 0 1 3E+03 7 8.4 89960 47 SAFH 220 44 0 1 2.3E+03 5 36 23787.3 48 SAFH 222 45 0 1 2.6E+03 8 36 68488.6 49 SAFH 224 46 0 1 2.5E+03 5 36 23649.8 50 SAFG 225 47 0 1 4.2E+03 0 2.7E-12 24199.2 50 FOUND SOLUTION: 24199.2 (NLP) in 7 sec. 51 SAFH 225 47 0 1 1.1E+02 3 16 24011.9 52 SAFH 226 48 0 1 90 3 5.5 24054.1 53 SAFH 228 49 0 1 4E+03 9 25 23622.3 54 SAFH 229 50 0 1 4.3E+03 4 9 57923.5 55 SAFH 231 51 0 1 35 4 4.5 58046.6 56 SAFH 232 52 0 1 15 4 1.2 58316.6 57 SAFH 235 53 0 1 5.2E+03 3 1.9E+02 19580 58 SAFH 237 54 0 1 2.8E+03 3 33 9859.25 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 238 55 0 1 4.5E+03 5 30 28706.7 60 SAFH 239 56 0 1 4.5E+03 9 4E+02 44497.6 61 SAFH 243 57 0 1 3.4E+03 5 4.9 87403.3 62 SAFH 246 58 0 1 3.3E+03 9 98 40989.7 63 SAFH 248 59 0 1 3.1E+03 7 16 38896.4 64 SAFH 249 60 0 1 20 6 4 39766.3 65 SAFG 252 61 0 1 1.6E+03 0 0 23841.7 65 FOUND SOLUTION: 23841.7 (NLP) in 9 sec. 66 SAFH 252 61 0 1 26 3 1.4 23820.2 67 SAFH 253 62 0 1 4.5E+03 3 19 10915 68 SAFH 254 63 0 1 2.8E+03 2 22 12227.5 69 SAFH 256 64 0 1 4.9E+03 2 4 62911.9 70 SAFH 258 65 0 1 2.6E+03 9 2.8E+02 82670.6 71 SAFG 262 66 0 1 5.3E+03 0 2.8E-10 10404.1 71 FOUND SOLUTION: 10404.1 (NLP) in 9 sec. 72 SAFH 262 66 0 1 61 3 19 10380 73 SAFH 263 67 0 1 4.4E+03 3 8.9 10503.8 74 SAFH 264 68 0 1 4.6E+03 10 29 65479.7 75 SAFH 265 69 0 1 2.2E+03 5 16 32983.1 76 SAFH 267 70 0 1 4.1E+03 1 9.2 12510 77 SAFH 268 71 0 1 21 2 3.1 12510 78 SAFH 269 72 0 1 4.8E+03 8 13 47480.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 270 73 0 1 1.4E+03 5 9 69745.4 80 SAFH 272 74 0 1 4.2E+03 4 2.6 26697.7 81 SAFH 273 75 0 1 2.3E+03 4 14 13341.9 82 SAFG 275 76 0 1 2.2E+03 0 5.6E-07 9375.46 82 FOUND SOLUTION: 9375.46 (NLP) in 11 sec. 83 SAFH 275 76 0 1 20 3 4.2 9293.78 84 SAFH 278 77 0 1 4.8E+03 1 0.2 9867.5 85 SAFH 279 78 0 1 0.41 1 0.00019 9867.5 86 SAFH 280 79 0 1 2.8E+03 1 0.041 11905 87 SAFJL 281 80 0 1 2.8E+03 0 1.7E-10 9867.5 88 SAFG 221 79 0 0.5 3.4E+03 0 0 8600 88 FOUND SOLUTION: 8600 (NLP) in 12 sec. 89 SAFH 221 79 0 0.5 93 2 26 8385 90 SAFH 222 80 0 0.5 4.9E+03 2 3.5 8973.05 91 SAFH 223 81 0 0.5 2.8E+03 2 1 8530 92 SAFG 225 82 0 0.5 4.8E+03 0 8E-11 8278.46 92 FOUND SOLUTION: 8278.46 (NLP) in 16 sec. 93 SAFH 225 82 0 0.5 19 3 4.4 8226.53 94 SAFG 226 83 0 0.5 3.7E+03 0 9.1E-13 8275 94 FOUND SOLUTION: 8275 (NLP) in 18 sec. 95 SAFH 226 83 0 0.5 2.5 2 1.1 8275 96 SAFH 227 84 0 0.5 3.9E+03 2 9.1 10475 97 SAFH 228 85 0 0.5 3.9E+03 2 1.1 8739.87 98 SAFH 229 86 0 0.5 4.3E+03 2 0.47 9007.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 230 87 0 0.5 4.9E+03 3 0.15 8962.33 100 SAFH 231 88 0 0.5 5.4E+02 3 0.29 8934.26 101 SAFH 232 89 0 0.5 3.2E+03 2 11 8092.5 102 SAFG 234 90 0 0.5 3.9E+03 0 2.3E-08 8185 102 FOUND SOLUTION: 8185 (NLP) in 26 sec. 103 SAFH 234 90 0 0.5 0.0045 2 0.0028 8185 104 SAFH 236 91 0 0.5 3.9E+03 2 0.71 8092.5 105 SAFH 238 92 0 0.5 1.6E+03 2 0.0065 8222.5 106 SAFJ 240 93 0 0.5 3.9E+03 0 2.3E-08 8185 107 SAFH 240 93 0 0.3 3.8E+03 2 1 8472.5 108 SAFG 242 94 0 0.3 1.7E+03 0 5.6E-07 8092.5 108 FOUND SOLUTION: 8092.5 (NLP) in 34 sec. 109 SAFJ 242 94 0 0.3 2.1E-10 0 5.6E-07 8092.5 110 SAFJ 242 94 0 0.2 0 0 5.6E-07 8092.5 111 SAFJ 242 94 0 0.1 0 0 5.6E-07 8092.5 112 AFJ 242 94 0 0 0 0 5.6E-07 8092.5 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.15_clay0305h._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 8092.500000000001819 Max constraint (22) : 5.5975453092833046907e-07 Alternative solution : MIP Alt. objective value : 8092.500000000001819 Max constraint (22) : 5.5975453092833046907e-07 Time used (seconds) : 43.14 Time limit (seconds) : 7200 Iterations used : 112 Iteration limit : -1 Function evaluations : 19200 Gradient evaluations : 302 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 3.7 % MIP time usage : 96.3 % Optimal/total MIPs : 1/112 NLP solver calls : 113 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0305h.gms(1043) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0305h.gms Stop 09/14/12 14:38:15 elapsed 0:00:43.185 @04 1347626295 ----------------------------- Fr 14. Sep 14:38:15 CEST 2012 ----------------------------- =ready= Linux opt211 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/CLay/gms/clay0305m.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job clay0305m.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- clay0305m.gms(395) 2 Mb --- Starting execution: elapsed 0:00:00.016 --- clay0305m.gms(393) 3 Mb --- Generating MIQCP model m --- clay0305m.gms(395) 5 Mb --- 156 rows 86 columns 496 non-zeroes --- 540 nl-code 120 nl-non-zeroes --- 55 discrete-columns --- clay0305m.gms(395) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.022 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.16_clay0305m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 496 elements of which 24% are non-linear(NL) included in 156 constraints of which 38% are NL The NL constraint signs: =E=(0), =G=(0), =L=(60) The number of variables in NL elements are 10 from a total of 86 variables: Continuous(31), Binary(55), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFH 0 0 0 1 1.6E+02 13 3E+02 10100 2 SAFH 2 1 0 1 2 13 4.8E+03 10100 3 SAFH 6 2 0 1 2 13 1.1E+03 10100 4 SAFH 10 3 0 1 2.1E+02 20 2E+03 10100 5 SAFH 29 4 0 1 3.2E+02 20 4.7E+03 10100 6 SAFH 45 5 0 1 8 20 1.1E+03 10100 7 SAFH 52 6 0 1 1.1E+02 20 7E+02 10100 8 SAFH 60 7 0 1 1.2E+02 16 2.8E+02 10100 9 SAFH 62 8 0 1 53 14 2.6E+02 10100 10 SAFH 64 9 0 1 4.8E+02 15 4E+02 11070 11 SAFH 66 10 0 1 2.6E+02 19 1.2E+03 16623.2 12 SAFH 70 11 0 1 57 16 2.4E+02 15855.9 13 SAFH 78 12 0 1 92 16 1E+02 17362.3 14 SAFH 84 13 0 1 89 9 1.1E+02 16597.8 15 SAFH 86 14 0 1 3.4E+02 16 1.9E+02 34425 16 SAFH 92 15 0 1 1.1E+02 16 9.5E+02 45679.2 17 SAFH 96 16 0 1 75 17 83 38626.3 18 SAFH 101 17 0 1 80 11 1.1E+02 41515.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 103 18 0 1 92 12 4.5E+02 44472.8 20 SAFH 105 19 0 1 1.1E+02 12 3E+02 45971.7 21 SAFH 107 20 0 1 97 13 1.1E+02 47047.2 22 SAFH 109 21 0 1 95 9 1.6E+02 48200.4 23 SAFH 111 22 0 1 42 9 35 48280.9 24 SAFH 113 23 0 1 42 9 21 50447.2 25 SAFH 119 24 0 1 3.2E+02 15 9.7E+02 49606.5 26 SAFH 123 25 0 1 2.9E+02 8 66 51887.8 27 SAFH 125 26 0 1 1.4E+02 11 8.1E+02 61893.1 28 SAFH 129 27 0 1 1.3E+02 7 21 51902.4 29 SAFH 130 28 0 1 1.1E+02 9 1.5E+02 43694.1 30 SAFH 132 29 0 1 49 7 31 47558.9 31 SAFH 134 30 0 1 22 7 10 49741.5 32 SAFH 141 31 0 1 5E+02 7 1.1E+02 14893.3 33 SAFH 143 32 0 1 33 8 25 15254.6 34 SAFH 148 33 0 1 5.3E+02 11 3.5E+02 53516.4 35 SAFH 152 34 0 1 5.5E+02 15 1.2E+03 42386.7 36 SAFH 156 35 0 1 2.1E+02 15 6.3E+02 53270.1 37 SAFH 164 36 0 1 4.7E+02 13 4.2E+02 70514.9 38 SAFH 167 37 0 1 1.9E+02 13 3.6E+02 71931.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 173 38 0 1 3.1E+02 13 2.8E+02 43386.3 40 SAFH 176 39 0 1 4.2E+02 9 1.6E+03 36262.8 41 SAFH 180 40 0 1 1.5E+02 8 3.9E+02 39227.8 42 SAFH 184 41 0 1 2.5E+02 8 1.1E+03 53837 43 SAFH 188 42 0 1 2.4E+02 8 1E+03 55241 44 SAFH 192 43 0 1 1.4E+02 8 1.5E+02 41114.7 45 SAFH 195 44 0 1 7.5E+02 7 1.6E+03 10082.5 46 SAFH 199 45 0 1 2 3 1.1E+02 10082.5 47 SAFH 201 46 0 1 1.6E+02 12 2.3E+02 23650 48 SAFH 206 47 0 1 6.1E+02 13 1.5E+02 40228.9 49 SAFH 211 48 0 1 6.7E+02 3 17 13862.5 50 SAFH 213 49 0 1 5E+02 12 83 15840.9 51 SAFH 217 50 0 1 5.3E+02 8 76 25678 52 SAFH 219 51 0 1 1.1E+02 6 11 24238.3 53 SAFG 221 52 0 1 5.3E+02 0 1.8E-12 83652.5 53 FOUND SOLUTION: 83652.5 (NLP) in 2 sec. 54 SAFH 221 52 0 1 55 10 82 77762.2 55 SAFH 222 53 0 1 70 8 70 80452.6 56 SAFG 224 54 0 1 2.1E+02 0 1.2E-07 53895.9 56 FOUND SOLUTION: 53895.9 (NLP) in 2 sec. 57 SAFH 224 54 0 1 58 9 74 47126.1 58 SAFH 226 55 0 1 2.7E+02 8 20 80781.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 231 56 0 1 5.2E+02 8 22 23360.9 60 SAFH 233 57 0 1 6.1E+02 11 3E+02 66825.7 61 SAFH 237 58 0 1 4.1E+02 10 53 41690.1 62 SAFH 239 59 0 1 24 8 13 42425.2 63 SAFH 242 60 0 1 7.3E+02 15 6.7E+02 84684.6 64 SAFH 246 61 0 1 8.4E+02 6 6.5 86856.5 65 SAFH 248 62 0 1 7.7 6 2.4 87073 66 SAFH 250 63 0 1 5.6E+02 10 2.4E+02 71763.9 67 SAFH 252 64 0 1 74 10 58 66285.4 68 SAFH 254 65 0 1 12 10 21 67301.1 69 SAFH 255 66 0 1 19 9 20 67810.5 70 SAFH 256 67 0 1 12 9 5.5 67830.4 71 SAFH 261 68 0 1 23 8 16 68242.9 72 SAFH 262 69 0 1 10 7 2 68315.4 73 SAFH 263 70 0 1 1.7 7 0.74 68327.8 74 SAFH 266 71 0 1 7.3 7 0.36 68344.1 75 SAFH 267 72 0 1 0.32 7 0.18 68358 76 SAFH 269 73 0 1 3 7 0.2 68363 77 SAFH 270 74 0 1 2.6 7 0.072 68363.8 78 SAFH 273 75 0 1 6.5E+02 8 47 62607.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 275 76 0 1 4.6E+02 12 7.8E+02 23572.3 80 SAFH 279 77 0 1 68 11 1.3E+02 15970 81 SAFH 284 78 0 1 5.3E+02 4 13 64219.2 82 SAFH 285 79 0 1 6.7 4 4.5 64786.1 83 SAFH 287 80 0 1 8.7 4 2.3 65133.7 84 SAFH 290 81 0 1 7.2 5 0.49 65400.8 85 SAFH 293 82 0 1 2.6 4 0.096 65506.9 86 SAFH 294 83 0 1 1.1 4 0.024 65509.1 87 SAFH 296 84 0 1 5.7E+02 4 7.7 12430 88 SAFH 299 85 0 1 3.6E+02 14 3.9E+02 34878.6 89 SAFH 301 86 0 1 1.4E+02 13 2.4E+02 25682.6 90 SAFH 308 87 0 1 6.7E+02 9 49 45140.9 91 SAFH 311 88 0 1 8.2E+02 6 37 62430.6 92 SAFH 312 89 0 1 18 3 4.3 63076.1 93 SAFH 313 90 0 1 7.6 3 0.74 63624.5 94 SAFH 315 91 0 1 4.4 3 0.15 63944.2 95 SAFH 317 92 0 1 2.2 3 0.039 64103.7 96 SAFH 319 93 0 1 6.6E+02 7 15 51890.4 97 SAFH 320 94 0 1 4.4E+02 12 1.9E+02 38256.3 98 SAFH 323 95 0 1 66 10 74 39173.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 326 96 0 1 1.9E+02 12 83 34195.8 100 SAFH 330 97 0 1 6E+02 10 57 63383.6 101 SAFH 332 98 0 1 17 7 5.3 64552.1 102 SAFH 334 99 0 1 2.1 6 2.2 64713.7 103 SAFH 335 100 0 1 6.1E+02 5 52 15702.5 104 SAFH 336 101 0 1 6.2E+02 8 23 41172.6 105 SAFH 338 102 0 1 4.3E+02 3 10 68164.3 106 SAFH 339 103 0 1 5.6 3 4.1 68196.7 107 SAFH 340 104 0 1 2.2 3 0.26 68355.9 108 SAFH 341 105 0 1 0.14 3 0.04 68358.3 109 SAFH 342 106 0 1 0.022 3 0.0063 68359.9 110 SAFH 343 107 0 1 1.3E+02 5 23 64562.3 111 SAFH 345 108 0 1 2.3E+02 7 39 64389.5 112 SAFH 346 109 0 1 21 6 10 65444.1 113 SAFH 348 110 0 1 24 6 3.5 65756.8 114 SAFH 350 111 0 1 9 6 0.93 65848.2 115 SAFH 351 112 0 1 5.3 6 0.43 65884.4 116 SAFH 352 113 0 1 2.4E+02 3 2.1 65444.4 117 SAFH 354 114 0 1 2.8 3 0.066 65647.2 118 SAFH 356 115 0 1 0.11 3 0.0016 65655.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 357 116 0 1 1.1E+02 4 1 60526.3 120 SAFH 358 117 0 1 0.57 3 0.3 60538.5 121 SAFH 359 118 0 1 0.15 3 0.0027 60549.7 122 SAFH 360 119 0 1 0.0015 2 0.0004 60549.7 123 SAFH 361 120 0 1 0.07 2 0.00023 60549.7 124 SAFH 362 121 0 1 0.00012 1 9.9E-05 60549.7 125 SAFH 363 122 0 1 8E+02 9 68 86605.2 126 SAFH 364 123 0 1 7.9E+02 6 16 83001.5 127 SAFH 365 124 0 1 33 5 8.8 83098.7 128 SAFH 366 125 0 1 15 5 2.3 83507.2 129 SAFG 368 126 0 1 7.7E+02 0 0 45238 129 FOUND SOLUTION: 45238 (NLP) in 4 sec. 130 SAFH 368 126 0 1 1.2E+02 12 1.8E+02 40657.6 131 SAFH 372 127 0 1 7.9E+02 4 4.2 84128.1 132 SAFH 373 128 0 1 4.5 4 0.85 84532.6 133 SAFH 375 129 0 1 9E+02 3 58 14485 134 SAFH 376 130 0 1 6E+02 6 0.2 65886 135 SAFH 377 131 0 1 2.5 6 0.089 65889.8 136 SAFH 381 132 0 1 1.3 6 0.013 65896.2 137 SAFH 382 133 0 1 0.63 6 0.0032 65896.3 138 SAFH 384 134 0 1 0.32 5 0.00079 65896.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 385 135 0 1 0.16 5 0.0002 65896.4 140 SAFH 386 136 0 1 3.2E+02 10 40 40862.8 141 SAFH 388 137 0 1 3.4E+02 7 12 71736 142 SAFH 390 138 0 1 7.4E+02 6 31 46084.4 143 SAFH 393 139 0 1 4.1E+02 7 19 64583.3 144 SAFH 395 140 0 1 25 6 12 65385.8 145 SAFH 396 141 0 1 6.7E+02 6 15 92501.8 146 SAFH 397 142 0 1 4.2 6 4.8 92935.4 147 SAFH 398 143 0 1 18 6 6 93357.2 148 SAFH 399 144 0 1 19 6 1.6 93426.9 149 SAFH 400 145 0 1 8.7 6 0.7 93434.9 150 SAFH 402 146 0 1 4.8E+02 8 9.5 69836.3 151 SAFH 403 147 0 1 4.8E+02 6 0.94 93463.1 152 SAFH 404 148 0 1 6.4 6 0.28 93464.4 153 SAFH 405 149 0 1 4.6 6 0.14 93465.5 154 SAFH 407 150 0 1 2.4 6 0.036 93480.1 155 SAFH 409 151 0 1 1.1 6 0.009 93481.5 156 SAFH 411 152 0 1 0.56 6 0.0023 93482.1 157 SAFH 414 153 0 1 0.29 5 0.00057 93482.4 158 SAFH 415 154 0 1 0.14 5 0.00046 93482.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 416 155 0 1 0.00029 4 0.00014 93482.4 160 SAFH 417 156 0 1 0.071 4 6.5E-05 93482.4 161 SAFH 418 157 0 1 4.3E-05 3 3.6E-05 93482.4 162 SAFH 419 158 0 1 0.036 3 6.5E-05 93482.4 163 SAFH 420 159 0 1 3.8E-05 2 1.3E-05 93482.5 164 SAFH 421 160 0 1 3.4E-06 1 9E-06 93482.5 165 SAFH 422 161 0 1 0.018 2 2.2E-06 93482.5 166 SAFJ 423 162 0 1 0.0089 0 5.6E-07 93482.5 167 SAFH 423 162 0 0.5 7.9E+02 6 11 36507.2 168 SAFG 427 163 0 0.5 3.6E+02 0 2.3E-11 13068.9 168 FOUND SOLUTION: 13068.9 (NLP) in 5 sec. 169 SAFH 427 163 0 0.5 9.7 2 11 12997.5 170 SAFG 428 164 0 0.5 1.4E+02 0 8.8E-07 8922.5 170 FOUND SOLUTION: 8922.5 (NLP) in 5 sec. 171 SAFH 428 164 0 0.5 0.4 2 0.76 8922.5 172 SAFH 429 165 0 0.5 94 1 13 9495 173 SAFH 430 166 0 0.5 8.2E+02 7 15 52951.5 174 SAFH 432 167 0 0.5 5.5 6 4.2 53001.1 175 SAFG 434 168 0 0.5 8E+02 0 0 8587.5 175 FOUND SOLUTION: 8587.5 (NLP) in 6 sec. 176 SAFH 434 168 0 0.5 0.036 2 0.14 8587.5 177 SAFH 436 169 0 0.5 60 2 1.2 9105 178 SAFH 438 170 0 0.5 0.32 2 0.004 9105 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFJ 440 171 0 0.5 0.0011 0 4.6E-08 9105 180 SAFJ 440 171 0 0.3 0 0 4.6E-08 9105 181 SAFJ 440 171 0 0.2 0 0 4.6E-08 9105 182 SAFJ 440 171 0 0.1 0 0 4.6E-08 9105 183 AFG 440 171 0 0 1.2E+02 0 5.9E-10 8278.47 183 FOUND SOLUTION: 8278.47 (NLP) in 9 sec. 184 AFH 440 171 0 0 11 3 22 8085 185 AFH 441 172 0 0 79 3 8.6 8085 186 AFH 443 173 0 0 64 2 20 8085 187 AFH 444 174 0 0 77 3 16 8092.49 188 AFH 445 175 0 0 1.1E+02 2 3.3 8092.5 189 AFG 446 176 0 0 1.4 0 2.3E-07 8092.5 189 FOUND SOLUTION: 8092.5 (NLP) in 18 sec. 190 AFH 446 176 0 0 0.063 2 0.13 8092.5 191 AFH 447 177 0 0 0.055 2 0.047 8092.5 192 AFH 448 178 0 0 0.02 2 0.0001 8092.5 193 AFH 449 179 0 0 4.5E-05 1 9.2E-06 8092.5 194 AFJ 450 180 0 0 3.9E-06 0 4.9E-11 8092.5 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.16_clay0305m._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 8092.5000000000045475 Max constraint (22) : 2.3492157197324559093e-07 Alternative solution : MIP Alt. objective value : 8092.5000000000045475 Max constraint (22) : 2.3492157197324559093e-07 Time used (seconds) : 24.50 Time limit (seconds) : 7200 Iterations used : 194 Iteration limit : -1 Function evaluations : 18600 Gradient evaluations : 450 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 4.4 % MIP time usage : 95.4 % Optimal/total MIPs : 12/194 NLP solver calls : 195 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- clay0305m.gms(395) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job clay0305m.gms Stop 09/14/12 14:37:57 elapsed 0:00:24.564 @04 1347626277 ----------------------------- Fr 14. Sep 14:37:57 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay03H.gms =========== ----------------------------- Fr 14. Sep 14:37:32 CEST 2012 ----------------------------- @03 1347626252 --- Job FLay03H.gms Start 09/14/12 14:37:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay03H.gms(374) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- FLay03H.gms(372) 3 Mb --- Generating MINLP model m --- FLay03H.gms(374) 5 Mb --- 145 rows 123 columns 387 non-zeroes --- 15 nl-code 3 nl-non-zeroes --- 12 discrete-columns --- FLay03H.gms(374) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.029 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.17_FLay03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 387 elements of which 1% are non-linear(NL) included in 145 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(3) The number of variables in NL elements are 3 from a total of 123 variables: Continuous(111), Binary(12), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (10) infeasibile 0 H 0 0 0 1 0 3 53 NA 1 SAFG 3 1 0 1 2.1E+02 0 1.8E-11 48.9898 1 FOUND SOLUTION: 48.9898 (NLP) in 1 sec. 2 SAFH 3 1 0 1 1.6E+02 3 26 10.3989 3 SAFH 6 2 0 1 21 3 13 14.6366 4 SAFH 9 3 0 1 40 3 6.2 22.6516 5 SAFH 12 4 0 1 70 3 2.7 36.9305 6 SAFH 15 5 0 1 1.1E+02 3 0.48 46.9832 7 SAFH 18 6 0 1 26 3 0.14 48.3072 8 SAFH 21 7 0 1 19 3 0.033 48.8928 9 SAFH 24 8 0 1 7.8 3 0.0085 48.9506 10 SAFH 27 9 0 1 4.1 3 0.0022 48.9813 11 SAFH 30 10 0 1 2.2 3 0.00053 48.9871 12 SAFH 31 11 0 1 0.0021 2 0.00045 48.9882 13 SAFH 32 12 0 1 0.0031 1 0.00036 48.9891 14 SAFH 33 13 0 1 1.1 3 0.00013 48.9896 15 SAFH 34 14 0 1 0.53 3 3.3E-05 48.9897 16 SAFH 35 15 0 1 0.27 3 8.4E-06 48.9898 17 SAFH 36 16 0 1 0.13 3 1.6E-05 48.9898 18 SAFH 37 17 0 1 0.2 2 3.9E-06 48.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 38 18 0 1 0.066 2 2.1E-06 48.9898 20 SAFH 39 19 0 1 0.066 1 3.1E-06 48.9898 21 SAFJL 40 20 0 1 0.1 0 9.8E-07 48.9898 22 SAFJ 37 19 0 0.5 1.9E+02 0 9.8E-07 48.9898 23 SAFJ 37 19 0 0.3 0 0 9.8E-07 48.9898 24 SAFJ 37 19 0 0.2 0 0 9.8E-07 48.9898 25 SAFJ 37 19 0 0.1 0 0 9.8E-07 48.9898 26 AFH 37 19 0 0 2.3E+02 3 1.1 47.9676 27 AFH 38 20 0 0 2.7E+02 3 0.62 48.0855 28 AFH 40 21 0 0 3E+02 3 1.5 48.1388 29 AFH 41 22 0 0 2.9E+02 3 0.36 48.33 30 AFH 43 23 0 0 2.1E+02 3 0.31 48.5886 31 AFH 44 24 0 0 2.3E+02 3 0.21 48.6203 32 AFH 45 25 0 0 2.3E+02 3 0.11 48.7636 33 AFH 47 26 0 0 2.3E+02 3 0.093 48.788 34 AFH 49 27 0 0 1.5E+02 3 0.087 48.8812 35 AFH 50 28 0 0 3E+02 3 0.11 48.9004 36 AFH 51 29 0 0 2.9E+02 3 0.031 48.9139 37 AFH 54 30 0 0 2.1E+02 3 0.08 48.9276 38 AFH 55 31 0 0 2.2E+02 3 0.024 48.9531 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 57 32 0 0 2.3E+02 3 0.03 48.9663 40 AFH 58 33 0 0 1.3E+02 3 0.011 48.9695 41 AFH 61 34 0 0 3E+02 3 0.0064 48.9742 42 AFH 64 35 0 0 1.3E+02 3 0.012 48.9799 43 AFH 65 36 0 0 2.3E+02 3 0.0053 48.9801 44 AFH 67 37 0 0 1.5E+02 3 0.0028 48.9832 45 AFH 69 38 0 0 1.3E+02 3 0.016 48.9836 46 AFH 70 39 0 0 3.1E+02 3 0.0073 48.9839 47 AFH 71 40 0 0 1.3E+02 3 0.0025 48.9844 48 AFH 74 41 0 0 3.1E+02 3 0.0039 48.9846 49 AFH 75 42 0 0 2.3 3 0.0052 48.987 50 AFH 76 43 0 0 3.1E+02 2 0.0019 48.9874 51 AFH 77 44 0 0 1.5E+02 3 0.025 48.9878 52 AFH 78 45 0 0 2.8E+02 3 0.0013 48.9882 53 AFH 80 46 0 0 2.8E+02 2 0.0013 48.9883 54 AFH 81 47 0 0 2.2E+02 3 0.006 48.9888 55 AFH 82 48 0 0 2.3E+02 3 0.0018 48.989 56 AFH 83 49 0 0 2.5E+02 3 0.00072 48.9891 57 AFH 84 50 0 0 2.2E+02 2 0.00033 48.9891 58 AFH 85 51 0 0 2.8E+02 3 0.0015 48.9893 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 86 52 0 0 2.3E+02 3 0.00092 48.9894 60 AFH 87 53 0 0 2.4E+02 3 0.00046 48.9894 61 AFH 88 54 0 0 2.3E+02 2 0.00039 48.9895 62 AFH 89 55 0 0 2.3E+02 3 0.00028 48.9895 63 AFH 90 56 0 0 2.3E+02 1 0.00033 48.9895 64 AFH 91 57 0 0 2.9E+02 3 0.00018 48.9895 65 AFH 92 58 0 0 3.1E+02 3 0.00041 48.9896 66 AFH 93 59 0 0 3.1E+02 2 9.8E-05 48.9896 67 AFH 94 60 0 0 2.9E+02 2 0.00023 48.9896 68 AFH 95 61 0 0 2.4E+02 3 0.0001 48.9897 69 AFH 96 62 0 0 3.1E+02 3 4.4E-05 48.9897 70 AFH 97 63 0 0 0.2 3 4.6E-05 48.9897 71 AFH 98 64 0 0 2.3E+02 3 6.9E-05 48.9897 72 AFH 99 65 0 0 2.3E+02 3 0.00012 48.9897 73 AFH 100 66 0 0 3.1E+02 2 2.5E-05 48.9898 74 AFH 101 67 0 0 3.1E+02 3 2.9E-05 48.9898 75 AFH 102 68 0 0 1.3E+02 2 2.5E-05 48.9898 76 AFH 103 69 0 0 0.17 2 1.6E-05 48.9898 77 AFH 104 70 0 0 2.2E+02 3 3.8E-05 48.9898 78 AFH 105 71 0 0 1.5E+02 3 1.7E-05 48.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 106 72 0 0 2.4E+02 2 1.6E-05 48.9898 80 AFH 107 73 0 0 1.5E+02 2 9.5E-06 48.9898 81 AFH 108 74 0 0 2.8E+02 3 1.2E-05 48.9898 82 AFH 109 75 0 0 2.8E+02 3 4.1E-06 48.9898 83 AFH 110 76 0 0 2.3E+02 2 7.2E-06 48.9898 84 AFH 111 77 0 0 0.079 3 5E-06 48.9898 85 AFH 112 78 0 0 3E+02 1 2.9E-06 48.9898 86 AFH 113 79 0 0 2.4E+02 2 2.4E-06 48.9898 87 AFH 114 80 0 0 2.2E+02 1 4.1E-06 48.9898 88 AFH 115 81 0 0 3E+02 1 4.1E-06 48.9898 89 AFH 116 82 0 0 2.2E+02 2 4.2E-06 48.9898 90 AFH 117 83 0 0 2.3E+02 2 4.2E-06 48.9898 91 AFH 118 84 0 0 3.1E+02 1 1.3E-06 48.9898 92 AFH 119 85 0 0 0.043 1 1.9E-06 48.9898 93 AFH 120 86 0 0 2.3E+02 1 1.1E-06 48.9898 94 AFH 121 87 0 0 2.3E+02 1 1.1E-06 48.9898 95 AFH 122 88 0 0 1.9E+02 1 1.4E-06 48.9898 96 AFJ 123 89 0 0 2.9E+02 0 9.8E-07 48.9898 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.17_FLay03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 48.989794855571417997 Max constraint (3) : 1.8428814030357898446e-11 Alternative solution : MIP Alt. objective value : 48.989794855571417997 Max constraint (3) : 1.8428814030357898446e-11 Time used (seconds) : 8.60 Time limit (seconds) : 7200 Iterations used : 96 Iteration limit : -1 Function evaluations : 348 Gradient evaluations : 126 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 5.1 % MIP time usage : 94.8 % Optimal/total MIPs : 71/96 NLP solver calls : 97 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay03H.gms(374) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay03H.gms Stop 09/14/12 14:37:41 elapsed 0:00:08.648 @04 1347626261 ----------------------------- Fr 14. Sep 14:37:41 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay03M.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay03M.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay03M.gms(114) 2 Mb --- Starting execution: elapsed 0:00:00.069 --- FLay03M.gms(112) 3 Mb --- Generating MINLP model m --- FLay03M.gms(114) 5 Mb --- 25 rows 27 columns 87 non-zeroes --- 15 nl-code 3 nl-non-zeroes --- 12 discrete-columns --- FLay03M.gms(114) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.095 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.18_FLay03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 87 elements of which 3% are non-linear(NL) included in 25 constraints of which 12% are NL The NL constraint signs: =E=(0), =G=(0), =L=(3) The number of variables in NL elements are 3 from a total of 27 variables: Continuous(15), Binary(12), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (10) infeasibile 0 H 0 0 0 1 0 3 53 NA 1 SAFG 3 1 0 1 84 0 0 48.9898 1 FOUND SOLUTION: 48.9898 (NLP) in 1 sec. 2 SAFH 3 1 0 1 64 3 26 15.168 3 SAFH 6 2 0 1 19 3 13 27.7424 4 SAFH 9 3 0 1 50 3 1.4 48.1843 5 SAFH 10 4 0 1 8.8 3 0.44 48.5086 6 SAFH 12 5 0 1 10 3 0.1 48.8366 7 SAFH 15 6 0 1 3.7 3 0.026 48.939 8 SAFH 18 7 0 1 2.1 3 0.0063 48.9855 9 SAFH 21 8 0 1 0.97 3 0.0016 48.9879 10 SAFH 24 9 0 1 0.49 3 0.00039 48.9891 11 SAFH 25 10 0 1 0.00039 2 0.00039 48.9893 12 SAFH 26 11 0 1 0.0025 1 0.00039 48.9895 13 SAFH 27 12 0 1 0.24 3 9.8E-05 48.9897 14 SAFH 28 13 0 1 0.0042 2 9.9E-05 48.9897 15 SAFH 29 14 0 1 0.12 3 2.5E-05 48.9897 16 SAFH 30 15 0 1 0.0034 2 2.4E-05 48.9898 17 SAFH 31 16 0 1 0.062 3 5.3E-05 48.9898 18 SAFH 32 17 0 1 0.091 3 1.3E-05 48.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 33 18 0 1 0.045 1 3.3E-06 48.9898 20 SAFJL 34 19 0 1 0.023 0 8.3E-07 48.9898 21 SAFJ 31 18 0 0.5 11 0 8.3E-07 48.9898 22 SAFJ 31 18 0 0.3 0 0 8.3E-07 48.9898 23 SAFJ 31 18 0 0.2 0 0 8.3E-07 48.9898 24 SAFJ 31 18 0 0.1 0 0 8.3E-07 48.9898 25 AFH 31 18 0 0 85 3 5.1 25.7501 26 AFH 34 19 0 0 42 3 2.2 41.9996 27 AFH 37 20 0 0 68 3 0.88 46.8197 28 AFH 39 21 0 0 33 3 0.39 47.0859 29 AFH 42 22 0 0 46 3 0.7 47.8351 30 AFH 44 23 0 0 48 3 0.26 48.4212 31 AFH 46 24 0 0 61 3 0.15 48.7877 32 AFH 47 25 0 0 45 3 0.085 48.7984 33 AFH 50 26 0 0 52 3 0.071 48.8016 34 AFH 52 27 0 0 27 3 0.055 48.8885 35 AFH 53 28 0 0 46 3 0.023 48.9029 36 AFH 56 29 0 0 44 3 0.059 48.9081 37 AFH 57 30 0 0 47 3 0.079 48.9203 38 AFH 58 31 0 0 5 3 0.021 48.957 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 60 32 0 0 62 3 0.0058 48.9606 40 AFH 63 33 0 0 45 3 0.014 48.9737 41 AFH 64 34 0 0 31 3 0.013 48.9739 42 AFH 66 35 0 0 51 3 0.011 48.9746 43 AFH 69 36 0 0 51 3 0.057 48.9751 44 AFH 71 37 0 0 52 3 0.013 48.9771 45 AFH 72 38 0 0 51 3 0.015 48.9774 46 AFH 74 39 0 0 36 2 0.0039 48.9815 47 AFH 76 40 0 0 35 3 0.0038 48.983 48 AFH 78 41 0 0 26 3 0.0032 48.9834 49 AFH 80 42 0 0 40 3 0.0027 48.9835 50 AFH 82 43 0 0 37 3 0.0081 48.9862 51 AFH 83 44 0 0 50 3 0.0032 48.9878 52 AFH 84 45 0 0 0.87 3 0.0012 48.9879 53 AFH 85 46 0 0 25 3 0.00068 48.9882 54 AFH 86 47 0 0 56 3 0.0009 48.9883 55 AFH 87 48 0 0 49 3 0.002 48.9883 56 AFH 88 49 0 0 42 3 0.0014 48.9887 57 AFH 90 50 0 0 61 3 0.00078 48.9887 58 AFH 91 51 0 0 41 2 0.00079 48.9892 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 92 52 0 0 25 2 0.00057 48.9892 60 AFH 93 53 0 0 43 3 0.00036 48.9893 61 AFH 94 54 0 0 54 2 0.0009 48.9893 62 AFH 95 55 0 0 0.43 3 0.00022 48.9893 63 AFH 96 56 0 0 33 2 0.0002 48.9894 64 AFH 97 57 0 0 59 3 0.00049 48.9894 65 AFH 98 58 0 0 33 3 0.00017 48.9894 66 AFH 99 59 0 0 40 2 0.0002 48.9894 67 AFH 100 60 0 0 41 3 0.00029 48.9895 68 AFH 101 61 0 0 19 2 0.00022 48.9895 69 AFH 102 62 0 0 54 3 9.1E-05 48.9896 70 AFH 103 63 0 0 42 3 0.00012 48.9896 71 AFH 104 64 0 0 37 2 0.00014 48.9897 72 AFH 105 65 0 0 25 1 0.0002 48.9897 73 AFH 106 66 0 0 25 3 4.3E-05 48.9897 74 AFH 107 67 0 0 26 3 0.00013 48.9897 75 AFH 108 68 0 0 40 3 2.3E-05 48.9897 76 AFH 109 69 0 0 46 3 7.4E-05 48.9897 77 AFH 110 70 0 0 46 3 4.3E-05 48.9897 78 AFH 111 71 0 0 52 2 5.6E-05 48.9897 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 112 72 0 0 57 3 5E-05 48.9897 80 AFH 113 73 0 0 30 3 1.1E-05 48.9898 81 AFH 114 74 0 0 54 3 1.4E-05 48.9898 82 AFH 115 75 0 0 57 2 3.5E-05 48.9898 83 AFH 116 76 0 0 25 3 1.2E-05 48.9898 84 AFH 117 77 0 0 45 3 1.6E-05 48.9898 85 AFH 118 78 0 0 52 2 1.1E-05 48.9898 86 AFH 119 79 0 0 25 2 2.8E-05 48.9898 87 AFH 120 80 0 0 47 3 3.1E-05 48.9898 88 AFH 121 81 0 0 0.08 2 8.1E-06 48.9898 89 AFH 122 82 0 0 60 2 2.6E-05 48.9898 90 AFH 123 83 0 0 50 2 6.3E-06 48.9898 91 AFH 124 84 0 0 50 2 1.1E-05 48.9898 92 AFH 125 85 0 0 59 3 1.4E-05 48.9898 93 AFH 126 86 0 0 61 2 5.7E-06 48.9898 94 AFH 127 87 0 0 63 2 3.9E-06 48.9898 95 AFH 128 88 0 0 52 1 8.5E-06 48.9898 96 AFH 129 89 0 0 52 2 7.1E-06 48.9898 97 AFH 130 90 0 0 27 1 7.7E-06 48.9898 98 AFH 131 91 0 0 57 2 2.7E-06 48.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 132 92 0 0 50 2 3.6E-06 48.9898 100 AFH 133 93 0 0 59 2 2.8E-06 48.9898 101 AFH 134 94 0 0 0.024 1 2.9E-06 48.9898 102 AFH 135 95 0 0 42 2 2.7E-06 48.9898 103 AFH 136 96 0 0 30 2 1.6E-06 48.9898 104 AFH 137 97 0 0 25 1 1.5E-06 48.9898 105 AFH 138 98 0 0 57 1 1.9E-06 48.9898 106 AFJ 139 99 0 0 54 0 6.7E-07 48.9898 106 FOUND SOLUTION: 48.9898 in 4 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.18_FLay03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 48.989794855663568285 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 48.989792859380600021 Max constraint (2) : 6.6780530261212334153e-07 Time used (seconds) : 3.23 Time limit (seconds) : 7200 Iterations used : 106 Iteration limit : -1 Function evaluations : 366 Gradient evaluations : 142 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.6 % NLP time usage : 9.3 % MIP time usage : 90.0 % Optimal/total MIPs : 82/106 NLP solver calls : 107 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay03M.gms(114) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay03M.gms Stop 09/14/12 14:37:36 elapsed 0:00:03.423 @04 1347626256 ----------------------------- Fr 14. Sep 14:37:36 CEST 2012 ----------------------------- =ready= Linux opt215 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay04H.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay04H.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay04H.gms(683) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- FLay04H.gms(681) 3 Mb --- Generating MINLP model m --- FLay04H.gms(683) 5 Mb --- 283 rows 235 columns 755 non-zeroes --- 20 nl-code 4 nl-non-zeroes --- 24 discrete-columns --- FLay04H.gms(683) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.19_FLay04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 755 elements of which 1% are non-linear(NL) included in 283 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(4) The number of variables in NL elements are 4 from a total of 235 variables: Continuous(211), Binary(24), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=50 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (12) infeasibile 0 H 0 0 0 1 0 4 16 NA 1 SAFG 4 1 0 1 3.7E+02 0 8.9E-16 54.9898 1 FOUND SOLUTION: 54.9898 (NLP) in 1 sec. 2 SAFH 4 1 0 1 1.5E+02 4 7.5 35.4728 3 SAFH 7 2 0 1 48 4 3.5 43.655 4 SAFH 10 3 0 1 54 4 1.6 52.6804 5 SAFH 12 4 0 1 22 4 0.67 52.6804 6 SAFH 15 5 0 1 56 4 0.27 54.6887 7 SAFH 16 6 0 1 10 4 0.089 54.7378 8 SAFH 18 7 0 1 20 4 0.024 54.8858 9 SAFH 21 8 0 1 11 3 0.028 54.9679 10 SAFH 22 9 0 1 15 3 0.0066 54.9747 11 SAFH 23 10 0 1 6.9 3 0.0052 54.9779 12 SAFH 25 11 0 1 5 3 0.0013 54.9852 13 SAFH 27 12 0 1 2.5 3 0.00033 54.9889 14 SAFH 28 13 0 1 1.3 3 8.2E-05 54.9895 15 SAFH 29 14 0 1 0.64 2 0.00015 54.9895 16 SAFH 30 15 0 1 0.96 3 3.9E-05 54.9897 17 SAFH 31 16 0 1 0.32 3 5.3E-05 54.9898 18 SAFH 32 17 0 1 0.63 2 1.3E-05 54.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 33 18 0 1 0.17 2 9.7E-06 54.9898 20 SAFH 34 19 0 1 0.14 2 4.7E-06 54.9898 21 SAFH 35 20 0 1 0.15 1 1.2E-06 54.9898 22 SAFJL 36 21 0 1 0.076 0 3E-07 54.9898 22 FOUND SOLUTION: 54.9898 in 1 sec. 23 SAFH 32 20 0 0.5 5.4E+02 4 3.7 52.6194 24 SAFH 34 21 0 0.5 1.9E+02 3 0.35 54.6151 25 SAFH 35 22 0 0.5 2.3E+02 3 0.57 67.8466 26 SAFH 38 23 0 0.5 2.1E+02 3 0.13 54.8706 27 SAFH 39 24 0 0.5 16 3 0.034 54.9597 28 SAFH 40 25 0 0.5 9.9 3 0.0081 54.9789 29 SAFH 42 26 0 0.5 4.5 2 0.0021 54.9867 30 SAFH 43 27 0 0.5 0.63 2 0.0015 54.9884 31 SAFH 44 28 0 0.5 1.7 3 0.00051 54.9897 32 SAFH 45 29 0 0.5 1.1 2 0.00013 54.9897 33 SAFH 46 30 0 0.5 0.57 1 3.2E-05 54.9898 34 SAFH 47 31 0 0.5 0.29 2 8E-06 54.9898 35 SAFH 48 32 0 0.5 0.14 1 2E-06 54.9898 36 SAFJ 49 33 0 0.5 0.072 0 5E-07 54.9898 37 SAFJ 49 33 0 0.3 0 0 5E-07 54.9898 38 SAFJ 49 33 0 0.2 0 0 5E-07 54.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFJ 49 33 0 0.1 0 0 5E-07 54.9898 40 AFG 49 33 0 0 5.2E+02 0 8.3E-12 54.4167 40 FOUND SOLUTION: 54.4167 (NLP) in 3 sec. 41 AFH 49 33 0 0 7.7 4 1.1 53.1156 42 AFH 51 34 0 0 5.3E+02 4 0.74 53.811 43 AFH 53 35 0 0 6.2E+02 4 0.5 53.9824 44 AFG 54 36 0 0 5.1E+02 0 0 54.4059 44 FOUND SOLUTION: 54.4059 (NLP) in 7 sec. 45 AFH 54 36 0 0 9.5 4 0.16 54.0157 46 AFH 56 37 0 0 4.4E+02 4 0.24 54.0471 47 AFH 57 38 0 0 5.1E+02 4 0.084 54.2144 48 AFH 60 39 0 0 5.9E+02 3 0.16 54.2294 49 AFH 61 40 0 0 5.1E+02 3 0.11 54.2508 50 AFH 63 41 0 0 3.2E+02 4 0.079 54.2652 51 AFH 66 42 0 0 4.6E+02 4 0.074 54.2851 52 AFH 68 43 0 0 4.9E+02 3 0.12 54.3139 53 AFH 69 44 0 0 6E+02 4 0.051 54.3324 54 AFH 71 45 0 0 3.9E+02 3 0.055 54.3437 55 AFH 72 46 0 0 5.2E+02 3 0.023 54.3475 56 AFH 74 47 0 0 5.9E+02 4 0.033 54.3538 57 AFH 75 48 0 0 3.7E+02 4 0.029 54.3593 58 AFH 77 49 0 0 5.2E+02 4 0.075 54.3604 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 78 50 0 0 5.8E+02 3 0.036 54.3611 60 AFH 79 51 0 0 5E+02 4 0.019 54.3656 61 AFH 81 52 0 0 5.5E+02 4 0.019 54.3716 62 AFH 83 53 0 0 9.6 4 0.021 54.3761 63 AFH 84 54 0 0 5.2E+02 4 0.017 54.3778 64 AFH 86 55 0 0 4.7E+02 4 0.028 54.3886 65 AFH 89 56 0 0 5.1E+02 3 0.013 54.3905 66 AFH 91 57 0 0 5.3E+02 4 0.01 54.3907 67 AFH 92 58 0 0 4.6E+02 4 0.0072 54.3916 68 AFH 94 59 0 0 4.4E+02 4 0.014 54.3923 69 AFH 95 60 0 0 5.3E+02 4 0.012 54.3931 70 AFH 96 61 0 0 4.5E+02 4 0.029 54.3938 71 AFH 97 62 0 0 4.4E+02 4 0.0087 54.3948 72 AFH 98 63 0 0 4.8E+02 4 0.0094 54.3949 73 AFH 100 64 0 0 5E+02 4 0.011 54.3959 74 AFH 101 65 0 0 4.3E+02 4 0.011 54.3976 75 AFH 103 66 0 0 3.2E+02 4 0.0041 54.3983 76 AFH 105 67 0 0 2.1E+02 3 0.0087 54.3987 77 AFH 107 68 0 0 5.2E+02 4 0.0028 54.3998 78 AFH 110 69 0 0 4.9E+02 4 0.012 54.3999 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 111 70 0 0 4.9E+02 4 0.0056 54.4017 80 AFH 112 71 0 0 5.3E+02 3 0.003 54.403 81 AFH 113 72 0 0 5.6E+02 4 0.0016 54.403 82 AFH 115 73 0 0 4.2E+02 3 0.0095 54.4031 83 AFH 116 74 0 0 4.2E+02 4 0.0014 54.4032 84 AFH 118 75 0 0 4.5E+02 4 0.0046 54.4032 85 AFH 120 76 0 0 4.7E+02 4 0.0014 54.4035 86 AFH 121 77 0 0 5E+02 4 0.0012 54.4041 87 AFH 122 78 0 0 4.7E+02 4 0.00058 54.4045 88 AFH 123 79 0 0 3.7E+02 4 0.0024 54.4045 89 AFH 125 80 0 0 1.1E+02 4 0.00071 54.4049 90 AFH 126 81 0 0 2.6E+02 4 0.00068 54.4049 91 AFH 127 82 0 0 2.9E+02 4 0.00056 54.405 92 AFH 128 83 0 0 5E+02 4 0.0004 54.405 93 AFH 129 84 0 0 4.7E+02 4 0.00026 54.4051 94 AFH 130 85 0 0 4.7E+02 4 0.00035 54.4052 95 AFH 131 86 0 0 5.4E+02 4 0.0004 54.4053 96 AFH 132 87 0 0 4.7E+02 3 0.0003 54.4054 97 AFH 133 88 0 0 4E+02 4 0.00018 54.4054 98 AFH 134 89 0 0 5.3E+02 4 0.00031 54.4055 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 135 90 0 0 4.9E+02 4 0.00026 54.4055 100 AFH 136 91 0 0 5.6E+02 4 0.00032 54.4055 101 AFH 137 92 0 0 3.3E+02 4 0.00046 54.4056 102 AFH 138 93 0 0 5.7E+02 3 0.00035 54.4056 103 AFH 139 94 0 0 4.5E+02 4 0.00031 54.4056 104 AFH 140 95 0 0 4.7E+02 4 0.00021 54.4056 105 AFH 141 96 0 0 5.4E+02 4 0.00011 54.4056 106 AFH 142 97 0 0 4.9E+02 3 0.00019 54.4056 107 AFH 143 98 0 0 4.2E+02 4 0.00017 54.4057 108 AFH 144 99 0 0 5E+02 4 0.00022 54.4057 109 AFH 145 100 0 0 5E+02 3 7.5E-05 54.4057 110 AFH 146 101 0 0 2.4E+02 3 6.8E-05 54.4058 111 AFH 147 102 0 0 4.7E+02 3 0.00011 54.4058 112 AFH 148 103 0 0 2.6E+02 4 5.3E-05 54.4058 113 AFH 149 104 0 0 3.5E+02 4 5.6E-05 54.4058 114 AFH 150 105 0 0 2.3E+02 4 6.5E-05 54.4058 115 AFH 151 106 0 0 4.7E+02 4 7.3E-05 54.4058 116 AFH 152 107 0 0 5.5E+02 4 9.1E-05 54.4058 117 AFH 153 108 0 0 4.7E+02 3 7.6E-05 54.4058 118 AFH 154 109 0 0 2.8E+02 4 3.4E-05 54.4058 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 155 110 0 0 5.3E+02 2 4.7E-05 54.4058 120 AFH 156 111 0 0 4.7E+02 3 2.9E-05 54.4058 121 AFH 157 112 0 0 4.5E+02 3 6.9E-05 54.4058 122 AFH 158 113 0 0 5.6E+02 3 1.8E-05 54.4058 123 AFH 159 114 0 0 5.6E+02 4 2.3E-05 54.4058 124 AFH 160 115 0 0 4.8E+02 4 3.5E-05 54.4058 125 AFH 161 116 0 0 3.8E+02 4 1.8E-05 54.4059 126 AFH 162 117 0 0 3.7E+02 2 2.6E-05 54.4059 127 AFH 163 118 0 0 5.6E+02 3 1.7E-05 54.4059 128 AFH 164 119 0 0 4.3E+02 2 1.9E-05 54.4059 129 AFH 165 120 0 0 4.3E+02 2 1.7E-05 54.4059 130 AFH 166 121 0 0 4.3E+02 4 8.7E-06 54.4059 131 AFH 167 122 0 0 2.1E+02 4 8.6E-06 54.4059 132 AFH 168 123 0 0 4.8E+02 4 2.6E-05 54.4059 133 AFH 169 124 0 0 4.7E+02 4 6E-06 54.4059 134 AFH 170 125 0 0 5E+02 4 1.8E-05 54.4059 135 AFH 171 126 0 0 5.4E+02 3 6.4E-06 54.4059 136 AFH 172 127 0 0 5.4E+02 3 6.5E-06 54.4059 137 AFH 173 128 0 0 3E+02 3 4.7E-06 54.4059 138 AFH 174 129 0 0 4E+02 3 4.2E-06 54.4059 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 175 130 0 0 4.6E+02 3 7.9E-06 54.4059 140 AFH 176 131 0 0 4.6E+02 2 8.4E-06 54.4059 141 AFH 177 132 0 0 5E+02 2 1E-05 54.4059 142 AFH 178 133 0 0 3.8E+02 2 2.8E-06 54.4059 143 AFH 179 134 0 0 1.4E+02 2 5E-06 54.4059 144 AFH 180 135 0 0 2.6E+02 3 6.2E-06 54.4059 145 AFH 181 136 0 0 5.4E+02 1 4.5E-06 54.4059 146 AFH 182 137 0 0 5.4E+02 2 2.6E-06 54.4059 147 AFH 183 138 0 0 3.9E+02 2 4.7E-06 54.4059 148 AFH 184 139 0 0 5.4E+02 2 3.3E-06 54.4059 149 AFH 185 140 0 0 0.11 1 1.6E-06 54.4059 150 AFH 186 141 0 0 4.7E+02 2 3.1E-06 54.4059 151 AFH 187 142 0 0 3.9E+02 3 3.1E-06 54.4059 152 AFH 188 143 0 0 5.5E+02 1 1.5E-06 54.4059 153 AFH 189 144 0 0 4.7E+02 1 2.5E-06 54.4059 154 AFJ 190 145 0 0 3.8E+02 0 7.9E-07 54.4059 154 FOUND SOLUTION: 54.4059 in 148 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.19_FLay04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 54.405882035413512199 Max constraint (4) : -1.083702017012910801e-10 Alternative solution : MIP Alt. objective value : 54.405880385871043359 Max constraint (1) : 7.8712552209481145837e-07 Time used (seconds) : 147.15 Time limit (seconds) : 7200 Iterations used : 154 Iteration limit : -1 Function evaluations : 840 Gradient evaluations : 194 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.4 % Optimal/total MIPs : 115/154 NLP solver calls : 155 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay04H.gms(683) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay04H.gms Stop 09/14/12 14:40:00 elapsed 0:02:27.285 @04 1347626400 ----------------------------- Fr 14. Sep 14:40:00 CEST 2012 ----------------------------- =ready= Linux opt216 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay04M.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay04M.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay04M.gms(159) 2 Mb --- Starting execution: elapsed 0:00:00.020 --- FLay04M.gms(157) 3 Mb --- Generating MINLP model m --- FLay04M.gms(159) 5 Mb --- 43 rows 43 columns 155 non-zeroes --- 20 nl-code 4 nl-non-zeroes --- 24 discrete-columns --- FLay04M.gms(159) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.024 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.20_FLay04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 155 elements of which 3% are non-linear(NL) included in 43 constraints of which 9% are NL The NL constraint signs: =E=(0), =G=(0), =L=(4) The number of variables in NL elements are 4 from a total of 43 variables: Continuous(19), Binary(24), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (12) infeasibile 0 H 0 0 0 1 0 4 16 NA 1 SAFG 4 1 0 1 95 0 0 54.9898 1 FOUND SOLUTION: 54.9898 (NLP) in 1 sec. 2 SAFH 4 1 0 1 70 4 7.5 50.5232 3 SAFH 7 2 0 1 67 4 0.96 54.2059 4 SAFH 8 3 0 1 12 4 1.1 54.4578 5 SAFH 9 4 0 1 9.2 4 0.31 54.7099 6 SAFH 10 5 0 1 3.7 4 0.1 54.9008 7 SAFH 12 6 0 1 3.4 4 0.016 54.9683 8 SAFH 15 7 0 1 1.4 3 0.017 54.9854 9 SAFH 16 8 0 1 1.7 3 0.0042 54.9868 10 SAFH 17 9 0 1 0.83 3 0.0019 54.9874 11 SAFH 20 10 0 1 0.53 3 0.00046 54.9892 12 SAFH 21 11 0 1 0.12 3 0.00027 54.9894 13 SAFH 22 12 0 1 0.00027 2 0.00026 54.9896 14 SAFH 23 13 0 1 0.2 3 6.6E-05 54.9898 15 SAFH 24 14 0 1 0.1 2 1.6E-05 54.9898 16 SAFH 25 15 0 1 0.051 3 8.4E-06 54.9898 17 SAFH 26 16 0 1 0.036 2 1.2E-05 54.9898 18 SAFH 27 17 0 1 0.036 2 4.1E-06 54.9898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 28 18 0 1 0.0072 1 3E-06 54.9898 20 SAFJL 29 19 0 1 0.022 0 7.5E-07 54.9898 21 SAFG 25 18 0 0.5 80 0 7.5E-15 54.4167 21 FOUND SOLUTION: 54.4167 (NLP) in 1 sec. 22 SAFH 25 18 0 0.5 11 3 1.6 54.1836 23 SAFH 26 19 0 0.5 3 3 0.41 54.1836 24 SAFH 27 20 0 0.5 36 4 3.7 51.288 25 SAFH 28 21 0 0.5 5.4 4 1.3 51.4269 26 SAFH 30 22 0 0.5 11 4 0.043 54.2672 27 SAFH 33 23 0 0.5 58 4 0.99 69.4734 28 SAFH 34 24 0 0.5 13 4 0.31 69.6569 29 SAFJ 38 25 0 0.5 1.1E+02 0 7.5E-07 54.9898 30 SAFJ 38 25 0 0.3 0 0 7.5E-07 54.9898 31 SAFJ 38 25 0 0.2 0 0 7.5E-07 54.9898 32 SAFJ 38 25 0 0.1 0 0 7.5E-07 54.9898 33 AFG 38 25 0 0 90 0 0 54.4059 33 FOUND SOLUTION: 54.4059 (NLP) in 1 sec. 34 AFH 38 25 0 0 22 4 2.3 50.2713 35 AFH 39 26 0 0 36 4 0.71 52.0002 36 AFH 41 27 0 0 79 4 0.64 53.6582 37 AFH 42 28 0 0 72 4 0.26 53.838 38 AFH 45 29 0 0 56 4 0.53 54.0154 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 46 30 0 0 52 4 0.22 54.103 40 AFH 47 31 0 0 47 4 0.15 54.1632 41 AFH 48 32 0 0 63 4 0.2 54.1759 42 AFH 49 33 0 0 54 4 0.12 54.1861 43 AFH 51 34 0 0 67 4 0.076 54.1997 44 AFH 53 35 0 0 81 4 0.096 54.2064 45 AFH 56 36 0 0 74 4 0.15 54.2876 46 AFH 57 37 0 0 78 4 0.067 54.2959 47 AFH 58 38 0 0 68 4 0.091 54.3125 48 AFH 59 39 0 0 63 4 0.056 54.3237 49 AFH 61 40 0 0 56 4 0.06 54.334 50 AFH 62 41 0 0 34 4 0.061 54.3404 51 AFH 63 42 0 0 53 4 0.04 54.3455 52 AFH 65 43 0 0 67 4 0.044 54.3479 53 AFH 66 44 0 0 90 4 0.032 54.3479 54 AFH 68 45 0 0 64 4 0.063 54.348 55 AFH 69 46 0 0 78 4 0.045 54.3482 56 AFH 71 47 0 0 68 4 0.078 54.3547 57 AFH 72 48 0 0 38 4 0.025 54.3612 58 AFH 74 49 0 0 89 3 0.034 54.3624 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 75 50 0 0 61 4 0.014 54.3678 60 AFH 79 51 0 0 42 4 0.015 54.3724 61 AFH 81 52 0 0 44 4 0.014 54.3778 62 AFH 83 53 0 0 57 4 0.017 54.3826 63 AFH 84 54 0 0 59 4 0.025 54.3869 64 AFH 85 55 0 0 55 4 0.022 54.3876 65 AFH 88 56 0 0 94 4 0.0091 54.3886 66 AFH 91 57 0 0 79 4 0.018 54.3906 67 AFH 92 58 0 0 62 4 0.01 54.3912 68 AFH 95 59 0 0 57 3 0.0075 54.3915 69 AFH 96 60 0 0 81 4 0.016 54.392 70 AFH 97 61 0 0 71 4 0.011 54.3923 71 AFH 98 62 0 0 49 4 0.016 54.3924 72 AFH 99 63 0 0 74 4 0.0058 54.3945 73 AFH 101 64 0 0 43 4 0.0077 54.3954 74 AFH 103 65 0 0 71 4 0.0055 54.3972 75 AFH 104 66 0 0 41 4 0.0033 54.398 76 AFH 107 67 0 0 69 4 0.0061 54.3981 77 AFH 109 68 0 0 70 4 0.003 54.3984 78 AFH 112 69 0 0 58 4 0.0064 54.3986 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 114 70 0 0 53 4 0.004 54.3991 80 AFH 115 71 0 0 42 4 0.0098 54.3994 81 AFH 116 72 0 0 45 4 0.0022 54.3998 82 AFH 120 73 0 0 53 3 0.0061 54.4001 83 AFH 122 74 0 0 68 4 0.0037 54.4006 84 AFH 124 75 0 0 50 4 0.002 54.4008 85 AFH 126 76 0 0 92 4 0.0057 54.4014 86 AFH 128 77 0 0 57 4 0.0064 54.4017 87 AFH 129 78 0 0 55 4 0.0017 54.4017 88 AFH 132 79 0 0 49 4 0.0017 54.4028 89 AFH 134 80 0 0 67 4 0.0015 54.4029 90 AFH 135 81 0 0 79 4 0.00073 54.4031 91 AFH 136 82 0 0 30 4 0.0015 54.4034 92 AFH 137 83 0 0 82 4 0.00079 54.4036 93 AFH 138 84 0 0 61 4 0.00059 54.4037 94 AFH 139 85 0 0 70 4 0.0015 54.4038 95 AFH 140 86 0 0 56 4 0.0016 54.404 96 AFH 141 87 0 0 40 3 0.0014 54.4041 97 AFH 142 88 0 0 77 4 0.0028 54.4043 98 AFH 143 89 0 0 54 4 0.00055 54.4043 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 144 90 0 0 67 3 0.004 54.4043 100 AFH 146 91 0 0 1.1E+02 4 0.0011 54.4043 101 AFH 148 92 0 0 61 4 0.0016 54.4044 102 AFH 149 93 0 0 52 4 0.00083 54.4045 103 AFH 150 94 0 0 52 4 0.0022 54.4046 104 AFH 152 95 0 0 39 4 0.001 54.4046 105 AFH 153 96 0 0 70 4 0.0029 54.4046 106 AFH 155 97 0 0 98 4 0.00062 54.4047 107 AFH 156 98 0 0 52 4 0.0014 54.4047 108 AFH 157 99 0 0 63 3 0.00048 54.4049 109 AFH 158 100 0 0 76 3 0.00036 54.4049 110 AFH 159 101 0 0 73 3 0.014 54.4049 111 AFH 160 102 0 0 94 3 0.00087 54.4049 112 AFH 161 103 0 0 52 4 0.00055 54.405 113 AFH 162 104 0 0 80 4 0.00056 54.405 114 AFH 163 105 0 0 60 4 0.00049 54.4051 115 AFH 164 106 0 0 21 4 0.00055 54.4051 116 AFH 165 107 0 0 65 4 0.00082 54.4051 117 AFH 166 108 0 0 74 4 0.00042 54.4051 118 AFH 167 109 0 0 90 4 0.00036 54.4052 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 168 110 0 0 83 4 0.00072 54.4052 120 AFH 169 111 0 0 96 4 0.0005 54.4052 121 AFH 170 112 0 0 71 4 0.00095 54.4052 122 AFH 171 113 0 0 83 4 0.00041 54.4052 123 AFH 172 114 0 0 54 4 0.00043 54.4052 124 AFH 173 115 0 0 63 4 0.00034 54.4053 125 AFH 174 116 0 0 50 4 0.00029 54.4053 126 AFH 175 117 0 0 95 4 0.00027 54.4053 127 AFH 176 118 0 0 47 3 0.00037 54.4053 128 AFH 177 119 0 0 59 2 0.00038 54.4053 129 AFH 178 120 0 0 54 4 0.00027 54.4054 130 AFH 179 121 0 0 20 4 0.00017 54.4054 131 AFH 180 122 0 0 65 3 0.00025 54.4054 132 AFH 181 123 0 0 61 4 0.00042 54.4054 133 AFH 182 124 0 0 60 4 0.0004 54.4054 134 AFH 183 125 0 0 77 4 0.00018 54.4054 135 AFH 184 126 0 0 76 3 0.00035 54.4055 136 AFH 185 127 0 0 74 3 0.00027 54.4055 137 AFH 186 128 0 0 58 4 0.00018 54.4055 138 AFH 187 129 0 0 62 4 0.0002 54.4055 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 188 130 0 0 90 4 0.00014 54.4055 140 AFH 189 131 0 0 78 4 0.00027 54.4055 141 AFH 190 132 0 0 72 3 0.00015 54.4055 142 AFH 191 133 0 0 75 4 0.00041 54.4056 143 AFH 192 134 0 0 45 3 0.00016 54.4056 144 AFH 193 135 0 0 65 4 0.00069 54.4056 145 AFH 194 136 0 0 27 4 0.00021 54.4056 146 AFH 195 137 0 0 52 4 0.00026 54.4056 147 AFH 196 138 0 0 50 4 0.00013 54.4056 148 AFH 197 139 0 0 65 3 0.00027 54.4056 149 AFH 198 140 0 0 54 4 0.00018 54.4056 150 AFH 199 141 0 0 78 4 0.00013 54.4056 151 AFH 200 142 0 0 50 4 0.00011 54.4056 152 AFH 201 143 0 0 50 4 0.00011 54.4057 153 AFH 202 144 0 0 74 3 0.0001 54.4057 154 AFH 203 145 0 0 61 4 0.00012 54.4057 155 AFH 204 146 0 0 33 4 9.1E-05 54.4057 156 AFH 205 147 0 0 38 4 0.0001 54.4057 157 AFH 206 148 0 0 47 4 0.0001 54.4057 158 AFH 207 149 0 0 68 4 0.0002 54.4057 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 208 150 0 0 56 4 0.00047 54.4057 160 AFH 209 151 0 0 67 3 5E-05 54.4057 161 AFH 210 152 0 0 61 4 6.7E-05 54.4057 162 AFH 211 153 0 0 68 2 6.2E-05 54.4057 163 AFH 212 154 0 0 76 2 0.00012 54.4057 164 AFH 213 155 0 0 42 3 0.00012 54.4057 165 AFH 214 156 0 0 56 4 8.8E-05 54.4057 166 AFH 215 157 0 0 76 4 0.00022 54.4057 167 AFH 216 158 0 0 58 4 0.00015 54.4057 168 AFH 217 159 0 0 34 3 6.7E-05 54.4057 169 AFH 218 160 0 0 60 4 8.5E-05 54.4057 170 AFH 219 161 0 0 63 4 4.9E-05 54.4057 171 AFH 220 162 0 0 51 3 3.8E-05 54.4058 172 AFH 221 163 0 0 67 4 5.1E-05 54.4058 173 AFH 222 164 0 0 41 3 9.5E-05 54.4058 174 AFH 223 165 0 0 41 4 6.6E-05 54.4058 175 AFH 224 166 0 0 56 4 0.0001 54.4058 176 AFH 225 167 0 0 64 3 7E-05 54.4058 177 AFH 226 168 0 0 73 4 6.5E-05 54.4058 178 AFH 227 169 0 0 61 2 0.00012 54.4058 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 228 170 0 0 66 4 0.00014 54.4058 180 AFH 229 171 0 0 74 4 5.5E-05 54.4058 181 AFH 230 172 0 0 61 2 4.5E-05 54.4058 182 AFH 231 173 0 0 65 4 3E-05 54.4058 183 AFH 232 174 0 0 65 3 6.7E-05 54.4058 184 AFH 233 175 0 0 52 3 3.3E-05 54.4058 185 AFH 234 176 0 0 70 4 7.2E-05 54.4058 186 AFH 235 177 0 0 61 4 0.00017 54.4058 187 AFH 236 178 0 0 66 4 6.3E-05 54.4058 188 AFH 237 179 0 0 61 4 3.9E-05 54.4058 189 AFH 238 180 0 0 71 4 8.2E-05 54.4058 190 AFH 239 181 0 0 74 4 4.4E-05 54.4058 191 AFH 240 182 0 0 47 3 4E-05 54.4058 192 AFH 241 183 0 0 20 2 6E-05 54.4058 193 AFH 242 184 0 0 48 4 5.4E-05 54.4058 194 AFH 243 185 0 0 73 4 2.7E-05 54.4058 195 AFH 244 186 0 0 51 4 4.9E-05 54.4058 196 AFH 245 187 0 0 54 4 6.9E-05 54.4058 197 AFH 246 188 0 0 65 3 4.5E-05 54.4058 198 AFH 247 189 0 0 38 3 2.4E-05 54.4058 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 248 190 0 0 44 4 1.8E-05 54.4058 200 AFH 249 191 0 0 67 3 2.5E-05 54.4058 201 AFH 250 192 0 0 83 4 2.6E-05 54.4058 202 AFH 251 193 0 0 83 4 4.9E-05 54.4058 203 AFH 252 194 0 0 70 4 2E-05 54.4058 204 AFH 253 195 0 0 89 3 3.7E-05 54.4058 205 AFH 254 196 0 0 81 4 9E-06 54.4058 206 AFH 255 197 0 0 37 4 1.3E-05 54.4058 207 AFH 256 198 0 0 54 2 3.7E-05 54.4058 208 AFH 257 199 0 0 63 3 1.6E-05 54.4058 209 AFH 258 200 0 0 12 3 3.2E-05 54.4058 210 AFH 259 201 0 0 85 4 1.7E-05 54.4058 211 AFH 260 202 0 0 54 2 2.9E-05 54.4059 212 AFH 261 203 0 0 35 4 1.2E-05 54.4059 213 AFH 262 204 0 0 74 4 1.2E-05 54.4059 214 AFH 263 205 0 0 81 3 8.8E-06 54.4059 215 AFH 264 206 0 0 42 3 6.5E-06 54.4059 216 AFH 265 207 0 0 53 3 2.4E-05 54.4059 217 AFH 266 208 0 0 30 3 2.1E-05 54.4059 218 AFH 267 209 0 0 50 3 2.2E-05 54.4059 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 268 210 0 0 57 2 7.3E-06 54.4059 220 AFH 269 211 0 0 47 2 1.7E-05 54.4059 221 AFH 270 212 0 0 77 3 2.3E-05 54.4059 222 AFH 271 213 0 0 69 3 6.1E-06 54.4059 223 AFH 272 214 0 0 77 4 1.9E-05 54.4059 224 AFH 273 215 0 0 66 3 9.2E-06 54.4059 225 AFH 274 216 0 0 80 4 2.4E-05 54.4059 226 AFH 275 217 0 0 64 3 1.9E-05 54.4059 227 AFH 276 218 0 0 71 4 8.3E-06 54.4059 228 AFH 277 219 0 0 74 4 1.6E-05 54.4059 229 AFH 278 220 0 0 60 1 1.6E-05 54.4059 230 AFH 279 221 0 0 51 4 1.3E-05 54.4059 231 AFH 280 222 0 0 52 3 1E-05 54.4059 232 AFH 281 223 0 0 52 3 6.6E-06 54.4059 233 AFH 282 224 0 0 20 4 1.3E-05 54.4059 234 AFH 283 225 0 0 64 2 8.4E-06 54.4059 235 AFH 284 226 0 0 66 3 4.7E-06 54.4059 236 AFH 285 227 0 0 68 4 1.5E-05 54.4059 237 AFH 286 228 0 0 55 4 4E-06 54.4059 238 AFH 287 229 0 0 50 3 8.3E-06 54.4059 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 288 230 0 0 47 2 4.9E-06 54.4059 240 AFH 289 231 0 0 66 3 7.8E-06 54.4059 241 AFH 290 232 0 0 72 3 1.4E-05 54.4059 242 AFH 291 233 0 0 60 3 4.1E-06 54.4059 243 AFH 292 234 0 0 62 3 8.7E-06 54.4059 244 AFH 293 235 0 0 83 3 5.3E-06 54.4059 245 AFH 294 236 0 0 60 3 7E-06 54.4059 246 AFH 295 237 0 0 54 3 3.9E-06 54.4059 247 AFH 296 238 0 0 52 4 2.1E-06 54.4059 248 AFH 297 239 0 0 83 4 2.6E-05 54.4059 249 AFH 298 240 0 0 56 2 3.7E-06 54.4059 250 AFH 299 241 0 0 70 3 4.2E-06 54.4059 251 AFH 300 242 0 0 61 2 3.6E-06 54.4059 252 AFH 301 243 0 0 70 2 3E-06 54.4059 253 AFH 302 244 0 0 74 2 3.2E-06 54.4059 254 AFH 303 245 0 0 65 1 5.7E-06 54.4059 255 AFH 304 246 0 0 77 2 4E-06 54.4059 256 AFH 305 247 0 0 63 2 1.7E-06 54.4059 257 AFH 306 248 0 0 44 2 2.9E-06 54.4059 258 AFH 307 249 0 0 46 2 4.5E-06 54.4059 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 308 250 0 0 60 2 3.4E-06 54.4059 260 AFH 309 251 0 0 80 3 2.3E-06 54.4059 261 AFH 310 252 0 0 68 1 3.3E-06 54.4059 262 AFH 311 253 0 0 0.041 2 2.9E-06 54.4059 263 AFH 312 254 0 0 61 1 3.2E-06 54.4059 264 AFH 313 255 0 0 90 3 4.3E-06 54.4059 265 AFH 314 256 0 0 55 1 1E-06 54.4059 266 AFH 315 257 0 0 42 3 2.2E-06 54.4059 267 AFH 316 258 0 0 67 1 1.1E-06 54.4059 268 AFH 317 259 0 0 64 2 2.3E-06 54.4059 269 AFH 318 260 0 0 80 1 2.2E-06 54.4059 270 AFH 319 261 0 0 48 3 6.4E-06 54.4059 271 AFH 320 262 0 0 72 1 1.6E-06 54.4059 272 AFH 321 263 0 0 77 2 2.4E-06 54.4059 273 AFH 322 264 0 0 47 1 1.2E-06 54.4059 274 AFH 323 265 0 0 71 2 1.9E-06 54.4059 275 AFH 324 266 0 0 51 1 1.8E-06 54.4059 276 AFH 325 267 0 0 57 1 1.9E-06 54.4059 277 AFH 326 268 0 0 46 2 1.7E-06 54.4059 278 AFH 327 269 0 0 53 3 5.3E-06 54.4059 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 328 270 0 0 73 1 1.3E-06 54.4059 280 AFJ 329 271 0 0 69 0 6E-07 54.4059 280 FOUND SOLUTION: 54.4059 in 119 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.20_FLay04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 54.405882037645739047 Max constraint (4) : -3.7925751428247167496e-10 Alternative solution : MIP Alt. objective value : 54.405879952788410492 Max constraint (4) : 5.9921283179775741701e-07 Time used (seconds) : 118.62 Time limit (seconds) : 7200 Iterations used : 280 Iteration limit : -1 Function evaluations : 1332 Gradient evaluations : 333 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.7 % MIP time usage : 99.3 % Optimal/total MIPs : 248/280 NLP solver calls : 281 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay04M.gms(159) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay04M.gms Stop 09/14/12 14:39:31 elapsed 0:01:58.673 @04 1347626371 ----------------------------- Fr 14. Sep 14:39:31 CEST 2012 ----------------------------- =ready= Linux opt217 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay05H.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay05H.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay05H.gms(1092) 2 Mb --- Starting execution: elapsed 0:00:00.034 --- FLay05H.gms(1090) 3 Mb --- Generating MINLP model m --- FLay05H.gms(1092) 5 Mb --- 466 rows 383 columns 1,243 non-zeroes --- 25 nl-code 5 nl-non-zeroes --- 40 discrete-columns --- FLay05H.gms(1092) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.063 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.21_FLay05H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1243 elements of which 0% are non-linear(NL) included in 466 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(5) The number of variables in NL elements are 5 from a total of 383 variables: Continuous(343), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=81 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (16) infeasibile 0 H 0 0 0 1 0 5 66 NA 1 SAFG 4 1 0 1 6.8E+02 0 0 64.4981 1 FOUND SOLUTION: 64.4981 (NLP) in 1 sec. 2 SAFH 4 1 0 1 5.3E+02 5 34 14.4071 3 SAFH 9 2 0 1 62 5 16 18.6848 4 SAFH 13 3 0 1 1.1E+02 5 7.9 26.8668 5 SAFH 16 4 0 1 1.9E+02 5 3.7 41.8369 6 SAFH 19 5 0 1 2.9E+02 5 2.6 56.439 7 SAFH 21 6 0 1 2.9E+02 5 1.1 60.7504 8 SAFH 23 7 0 1 2.4E+02 5 0.2 64.009 9 SAFH 25 8 0 1 85 5 0.058 64.2762 10 SAFH 27 9 0 1 53 5 0.039 64.4431 11 SAFH 30 10 0 1 33 5 0.0093 64.474 12 SAFH 33 11 0 1 15 5 0.0023 64.4884 13 SAFH 36 12 0 1 7.4 3 0.00056 64.4954 14 SAFH 37 13 0 1 0.0034 2 0.00045 64.4965 15 SAFH 38 14 0 1 0.0072 1 0.00037 64.4974 16 SAFH 39 15 0 1 3.6 5 0.00014 64.4975 17 SAFH 40 16 0 1 0.00085 4 0.00011 64.4978 18 SAFH 41 17 0 1 1.8 5 3.5E-05 64.4979 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 42 18 0 1 0.00021 4 2.8E-05 64.4979 20 SAFH 43 19 0 1 0.91 5 5.3E-05 64.4979 21 SAFH 44 20 0 1 1.4 5 1.3E-05 64.498 22 SAFH 45 21 0 1 0.68 3 2E-05 64.498 23 SAFH 46 22 0 1 0.95 4 5.5E-06 64.498 24 SAFH 47 23 0 1 3.3E-05 3 5.1E-06 64.498 25 SAFH 48 24 0 1 0.36 3 8.5E-06 64.498 26 SAFH 49 25 0 1 0.55 3 7E-06 64.4981 27 SAFH 50 26 0 1 0.45 1 1.8E-06 64.4981 28 SAFH 51 27 0 1 0.095 1 1.4E-06 64.4981 29 SAFJL 52 28 0 1 0.18 0 3.4E-07 64.4981 29 FOUND SOLUTION: 64.4981 in 1 sec. 30 SAFH 48 27 0 0.5 6.5E+02 5 0.76 63.1791 31 SAFJ 50 28 0 0.5 4.6E+02 0 3.4E-07 64.4981 32 SAFJ 50 28 0 0.3 0 0 3.4E-07 64.4981 33 SAFJ 50 28 0 0.2 0 0 3.4E-07 64.4981 34 SAFJ 50 28 0 0.1 0 0 3.4E-07 64.4981 35 AFH 50 28 0 0 9.6E+02 5 13 60.0241 36 AFH 51 29 0 0 6.1E+02 5 5.7 60.2539 37 AFH 52 30 0 0 6.2E+02 5 2.2 61.2109 38 AFH 54 31 0 0 9.4E+02 5 1.3 61.7725 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 57 32 0 0 9.3E+02 5 1.1 62.5515 40 AFH 59 33 0 0 1.1E+03 5 0.51 62.9417 41 AFH 62 34 0 0 8.5E+02 5 0.56 63.3557 42 AFH 65 35 0 0 9.3E+02 5 1.5 63.6546 43 AFH 66 36 0 0 9.3E+02 5 0.3 63.6551 44 AFH 69 37 0 0 1.1E+03 5 0.49 63.7553 45 AFH 71 38 0 0 9.1E+02 5 0.2 63.8257 46 AFH 75 39 0 0 8.1E+02 5 0.36 63.9749 47 AFH 77 40 0 0 6.4E+02 5 0.19 64.0929 48 AFH 80 41 0 0 8.7E+02 5 0.46 64.1106 49 AFH 81 42 0 0 1.2E+03 5 0.27 64.128 50 AFH 83 43 0 0 8.9E+02 5 0.13 64.1765 51 AFH 85 44 0 0 7.4E+02 5 0.27 64.2307 52 AFH 87 45 0 0 1E+03 5 0.13 64.2713 53 AFH 88 46 0 0 8.3E+02 5 0.052 64.2919 54 AFH 91 47 0 0 9.3E+02 5 0.071 64.2953 55 AFH 94 48 0 0 9.8E+02 5 0.08 64.3153 56 AFH 97 49 0 0 8.1E+02 5 0.12 64.3213 57 AFH 99 50 0 0 8E+02 5 0.14 64.3379 58 AFH 100 51 0 0 9.9E+02 5 0.073 64.351 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 103 52 0 0 1E+03 5 0.035 64.3584 60 AFH 107 53 0 0 5.2E+02 5 0.091 64.368 61 AFH 109 54 0 0 8.5E+02 5 0.075 64.3703 62 AFH 111 55 0 0 1.1E+03 4 0.062 64.3769 63 AFH 112 56 0 0 9.2E+02 5 0.044 64.3847 64 AFH 113 57 0 0 9E+02 5 0.036 64.3906 65 AFH 117 58 0 0 8.3E+02 5 0.087 64.4006 66 AFH 118 59 0 0 9.9E+02 5 0.065 64.4036 67 AFH 119 60 0 0 8.5E+02 5 0.036 64.4049 68 AFH 122 61 0 0 9.1E+02 5 0.048 64.4115 69 AFH 124 62 0 0 7.6E+02 5 0.062 64.4155 70 AFH 126 63 0 0 9E+02 5 0.028 64.4172 71 AFH 129 64 0 0 6.9E+02 5 0.023 64.4196 72 AFH 133 65 0 0 5.4E+02 5 0.035 64.4374 73 AFH 134 66 0 0 1.1E+03 5 0.046 64.4402 74 AFH 135 67 0 0 1E+03 5 0.039 64.4408 75 AFH 137 68 0 0 6.5E+02 5 0.045 64.4514 76 AFH 138 69 0 0 9.6E+02 5 0.017 64.4528 77 AFH 141 70 0 0 1.1E+03 5 0.022 64.4542 78 AFH 143 71 0 0 9.8E+02 5 0.011 64.4548 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 146 72 0 0 8.2E+02 5 0.01 64.4569 80 AFH 150 73 0 0 9.8E+02 5 0.018 64.4593 81 AFH 154 74 0 0 9.3E+02 5 0.015 64.4603 82 AFH 157 75 0 0 6.7E+02 5 0.022 64.4613 83 AFH 158 76 0 0 7.6E+02 3 0.015 64.4618 84 AFH 160 77 0 0 8.8E+02 5 0.034 64.4626 85 AFH 162 78 0 0 7.4E+02 5 0.017 64.4644 86 AFH 164 79 0 0 9.9E+02 5 0.011 64.4654 87 AFH 168 80 0 0 1E+03 4 0.01 64.4656 88 AFH 171 81 0 0 9.4E+02 5 0.011 64.4671 89 AFH 173 82 0 0 9.9E+02 5 0.017 64.4672 90 AFH 176 83 0 0 8.2E+02 5 0.012 64.4679 91 AFH 178 84 0 0 1E+03 5 0.024 64.4693 92 AFH 179 85 0 0 8.1E+02 5 0.015 64.47 93 AFH 180 86 0 0 9.7E+02 5 0.054 64.4701 94 AFH 181 87 0 0 1E+03 5 0.024 64.4717 95 AFH 182 88 0 0 9.9E+02 5 0.0087 64.4751 96 AFH 185 89 0 0 8.7E+02 5 0.0084 64.4764 97 AFH 188 90 0 0 1E+03 5 0.019 64.4789 98 AFH 189 91 0 0 9.3E+02 5 0.0084 64.4791 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 191 92 0 0 9.3E+02 5 0.02 64.4791 100 AFH 192 93 0 0 7.8E+02 5 0.0076 64.4797 101 AFH 194 94 0 0 9.5E+02 5 0.008 64.4805 102 AFH 196 95 0 0 1.1E+03 5 0.011 64.4814 103 AFH 198 96 0 0 7.5E+02 5 0.012 64.4817 104 AFH 200 97 0 0 1.1E+03 5 0.0053 64.4832 105 AFH 203 98 0 0 9.2E+02 5 0.0091 64.4836 106 AFH 206 99 0 0 1.1E+03 5 0.0046 64.4839 107 AFH 209 100 0 0 5.6E+02 4 0.0063 64.484 108 AFH 211 101 0 0 9.7E+02 5 0.0084 64.4846 109 AFH 214 102 0 0 1.1E+03 5 0.0032 64.4846 110 AFH 217 103 0 0 1.2E+03 5 0.021 64.4846 111 AFH 218 104 0 0 9.2E+02 5 0.0067 64.4852 112 AFH 220 105 0 0 8E+02 5 0.008 64.4855 113 AFH 222 106 0 0 8.9E+02 5 0.01 64.4858 114 AFH 223 107 0 0 8.9E+02 5 0.005 64.4859 115 AFH 226 108 0 0 1.1E+03 4 0.012 64.4861 116 AFH 228 109 0 0 8.9E+02 5 0.0055 64.4862 117 AFH 230 110 0 0 1.1E+03 5 0.0097 64.4863 118 AFH 232 111 0 0 9.5E+02 5 0.0029 64.4868 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 235 112 0 0 1.1E+03 5 0.0095 64.4868 120 AFH 236 113 0 0 8.1E+02 5 0.0028 64.4872 121 AFH 240 114 0 0 1E+03 5 0.009 64.4873 122 AFH 241 115 0 0 9.5E+02 5 0.0049 64.4876 123 AFH 243 116 0 0 1.1E+03 5 0.0045 64.4877 124 AFH 245 117 0 0 1E+03 4 0.011 64.4883 125 AFH 246 118 0 0 7.4E+02 5 0.0027 64.4885 126 AFH 250 119 0 0 6.8E+02 5 0.011 64.4888 127 AFH 251 120 0 0 9.6E+02 5 0.0038 64.4893 128 AFH 253 121 0 0 7.7E+02 5 0.0029 64.4894 129 AFH 255 122 0 0 8.5E+02 5 0.0038 64.4894 130 AFH 257 123 0 0 9.4E+02 5 0.0036 64.4895 131 AFH 259 124 0 0 8.8E+02 5 0.0053 64.4898 132 AFH 261 125 0 0 1E+03 5 0.0058 64.49 133 AFH 263 126 0 0 9.1E+02 5 0.0038 64.4901 134 AFH 264 127 0 0 9.7E+02 5 0.0043 64.4901 135 AFH 266 128 0 0 9.1E+02 5 0.0027 64.4905 136 AFH 269 129 0 0 8.6E+02 5 0.0033 64.4907 137 AFH 271 130 0 0 8.2E+02 5 0.003 64.4908 138 AFH 275 131 0 0 1.1E+03 5 0.0022 64.4908 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 277 132 0 0 9.6E+02 5 0.0039 64.491 140 AFH 278 133 0 0 1E+03 5 0.0031 64.4912 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.21_FLay05H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 64.498061986390865741 Max constraint (4) : -1.6608936448392341845e-13 Alternative solution : MIP Alt. objective value : 64.498060391907017674 Max constraint (5) : 3.4339110666081751333e-07 Time used (seconds) : 7202.01 Time limit (seconds) : 7200 Iterations used : 141 Iteration limit : -1 Function evaluations : 895 Gradient evaluations : 284 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 107/141 NLP solver calls : 140 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay05H.gms(1092) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay05H.gms Stop 09/14/12 16:37:35 elapsed 2:00:02.303 @04 1347633455 ----------------------------- Fr 14. Sep 16:37:35 CEST 2012 ----------------------------- =ready= Linux opt218 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay05M.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay05M.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay05M.gms(214) 2 Mb --- Starting execution: elapsed 0:00:00.029 --- FLay05M.gms(212) 3 Mb --- Generating MINLP model m --- FLay05M.gms(214) 5 Mb --- 66 rows 63 columns 243 non-zeroes --- 25 nl-code 5 nl-non-zeroes --- 40 discrete-columns --- FLay05M.gms(214) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.033 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.22_FLay05M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 243 elements of which 2% are non-linear(NL) included in 66 constraints of which 8% are NL The NL constraint signs: =E=(0), =G=(0), =L=(5) The number of variables in NL elements are 5 from a total of 63 variables: Continuous(23), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (16) infeasibile 0 H 0 0 0 1 0 5 66 NA 1 SAFG 4 1 0 1 1.6E+02 0 9.4E-11 64.4981 1 FOUND SOLUTION: 64.4981 (NLP) in 1 sec. 2 SAFH 4 1 0 1 1.2E+02 5 34 21.5752 3 SAFH 9 2 0 1 37 5 17 40.3701 4 SAFH 14 3 0 1 96 5 1.8 63.4732 5 SAFH 15 4 0 1 16 5 0.85 63.9653 6 SAFH 19 5 0 1 24 5 0.51 64.1501 7 SAFH 20 6 0 1 6.2 5 0.13 64.3118 8 SAFH 25 7 0 1 7.5 5 0.032 64.4702 9 SAFH 29 8 0 1 3.3 5 0.0095 64.4833 10 SAFH 34 9 0 1 1.7 5 0.0018 64.4959 11 SAFH 39 10 0 1 0.86 5 0.00043 64.4973 12 SAFH 40 11 0 1 0.00066 4 0.00043 64.4974 13 SAFH 41 12 0 1 0.00063 3 0.00043 64.4975 14 SAFH 42 13 0 1 0.012 2 0.00044 64.4977 15 SAFH 43 14 0 1 0.015 1 0.00042 64.4979 16 SAFH 44 15 0 1 0.43 5 0.00011 64.4979 17 SAFH 45 16 0 1 0.0029 4 0.00011 64.498 18 SAFH 46 17 0 1 0.21 5 2.7E-05 64.498 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 47 18 0 1 0.11 5 6E-05 64.498 20 SAFH 48 19 0 1 0.11 4 2.6E-05 64.498 21 SAFH 49 20 0 1 0.11 4 5.9E-05 64.498 22 SAFH 50 21 0 1 0.16 5 1.5E-05 64.498 23 SAFH 51 22 0 1 0.079 3 3E-05 64.498 24 SAFH 52 23 0 1 0.081 4 1.5E-05 64.4981 25 SAFH 53 24 0 1 0.032 3 7.6E-06 64.4981 26 SAFH 54 25 0 1 0.057 1 1.9E-06 64.4981 27 SAFH 55 26 0 1 0.028 2 1.6E-06 64.4981 28 SAFJL 56 27 0 1 0.026 0 4.4E-07 64.4981 29 SAFH 52 26 0 0.5 1.8E+02 5 6.5 30.0519 30 SAFH 57 27 0 0.5 1.1E+02 5 1.8 60.9432 31 SAFH 58 28 0 0.5 1.2E+02 5 2.3 66.4396 32 SAFH 59 29 0 0.5 1.6E+02 5 3 70.5874 33 SAFH 62 30 0 0.5 79 5 0.53 63.3577 34 SAFH 64 31 0 0.5 20 5 0.21 64.1679 35 SAFH 65 32 0 0.5 16 5 0.058 64.2573 36 SAFH 67 33 0 0.5 8.7 5 0.031 64.4411 37 SAFH 68 34 0 0.5 5.4 5 0.015 64.4526 38 SAFH 70 35 0 0.5 5.2 5 0.016 64.4772 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 72 36 0 0.5 3.9 5 0.0035 64.4867 40 SAFH 74 37 0 0.5 1.8 5 0.00088 64.4953 41 SAFH 75 38 0 0.5 0.95 5 0.0011 64.4955 42 SAFH 76 39 0 0.5 1.2 5 0.00083 64.4967 43 SAFH 77 40 0 0.5 1 5 0.00021 64.4976 44 SAFH 78 41 0 0.5 0.51 5 5.2E-05 64.4979 45 SAFH 79 42 0 0.5 0.26 5 7.5E-05 64.4979 46 SAFH 80 43 0 0.5 0.00025 4 1.6E-05 64.498 47 SAFH 81 44 0 0.5 9.5E-05 3 1.3E-05 64.498 48 SAFH 82 45 0 0.5 0.13 3 4E-06 64.4981 49 SAFH 83 46 0 0.5 1.4E-05 2 3.2E-06 64.4981 50 SAFH 84 47 0 0.5 0.064 1 1.9E-06 64.4981 51 SAFH 85 48 0 0.5 0.00059 1 1E-06 64.4981 52 SAFJ 86 49 0 0.5 0.032 0 9.7E-07 64.4981 52 FOUND SOLUTION: 64.4981 in 1 sec. 53 SAFJ 86 49 0 0.3 0 0 9.7E-07 64.4981 54 SAFJ 86 49 0 0.2 0 0 9.7E-07 64.4981 55 SAFJ 86 49 0 0.1 0 0 9.7E-07 64.4981 56 AFH 86 49 0 0 1.4E+02 5 1.3 60.1342 57 AFH 89 50 0 0 83 5 1.1 63.0793 58 AFH 91 51 0 0 67 5 0.41 63.1266 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 95 52 0 0 1E+02 5 0.87 63.4145 60 AFH 96 53 0 0 1.2E+02 5 0.44 63.717 61 AFH 97 54 0 0 1E+02 5 0.23 63.755 62 AFH 100 55 0 0 1.3E+02 5 0.26 63.9385 63 AFH 103 56 0 0 1.4E+02 5 0.28 64.1002 64 AFH 104 57 0 0 1E+02 5 0.11 64.1528 65 AFH 108 58 0 0 1.5E+02 5 0.19 64.169 66 AFH 109 59 0 0 1E+02 5 0.16 64.182 67 AFH 111 60 0 0 1.1E+02 5 0.14 64.2141 68 AFH 114 61 0 0 1.6E+02 5 0.15 64.2384 69 AFH 115 62 0 0 1E+02 5 0.17 64.2452 70 AFH 117 63 0 0 1E+02 5 0.18 64.296 71 AFH 118 64 0 0 1.2E+02 5 0.081 64.306 72 AFH 120 65 0 0 96 5 0.076 64.3121 73 AFH 123 66 0 0 1.1E+02 4 0.063 64.3234 74 AFH 126 67 0 0 99 5 0.08 64.3263 75 AFH 128 68 0 0 96 5 0.044 64.3444 76 AFH 130 69 0 0 1.1E+02 5 0.043 64.3781 77 AFH 132 70 0 0 1.4E+02 5 0.039 64.392 78 AFH 133 71 0 0 1E+02 5 0.045 64.3953 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 136 72 0 0 83 5 0.077 64.3976 80 AFH 137 73 0 0 1.1E+02 5 0.057 64.3989 81 AFH 139 74 0 0 89 5 0.022 64.4096 82 AFH 144 75 0 0 73 5 0.1 64.4168 83 AFH 145 76 0 0 1.1E+02 5 0.024 64.4214 84 AFH 149 77 0 0 1.1E+02 4 0.047 64.4305 85 AFH 151 78 0 0 1.1E+02 5 0.022 64.434 86 AFH 153 79 0 0 1.1E+02 5 0.04 64.4357 87 AFH 155 80 0 0 1.1E+02 5 0.096 64.4368 88 AFH 156 81 0 0 1.1E+02 5 0.017 64.4381 89 AFH 160 82 0 0 95 5 0.036 64.4389 90 AFH 161 83 0 0 1E+02 5 0.028 64.4431 91 AFH 164 84 0 0 1E+02 5 0.016 64.4441 92 AFH 166 85 0 0 1.1E+02 5 0.024 64.4459 93 AFH 168 86 0 0 1.4E+02 5 0.024 64.4469 94 AFH 170 87 0 0 1.4E+02 5 0.035 64.454 95 AFH 172 88 0 0 96 5 0.045 64.4541 96 AFH 173 89 0 0 76 5 0.02 64.4588 97 AFH 174 90 0 0 1.1E+02 5 0.01 64.4641 98 AFH 177 91 0 0 83 5 0.022 64.4643 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 178 92 0 0 1.1E+02 5 0.023 64.4652 100 AFH 180 93 0 0 90 5 0.011 64.4657 101 AFH 182 94 0 0 1.1E+02 5 0.015 64.4678 102 AFH 185 95 0 0 1.1E+02 5 0.009 64.469 103 AFH 188 96 0 0 1.4E+02 5 0.013 64.4691 104 AFH 190 97 0 0 1.2E+02 5 0.011 64.4693 105 AFH 191 98 0 0 78 5 0.0086 64.4702 106 AFH 194 99 0 0 1.6E+02 5 0.015 64.4704 107 AFH 196 100 0 0 77 5 0.019 64.4727 108 AFH 198 101 0 0 68 5 0.02 64.4739 109 AFH 199 102 0 0 1.1E+02 5 0.016 64.4743 110 AFH 201 103 0 0 97 5 0.018 64.4754 111 AFH 203 104 0 0 1.5E+02 5 0.0051 64.4771 112 AFH 207 105 0 0 1.4E+02 5 0.0071 64.4781 113 AFH 209 106 0 0 99 5 0.0061 64.4784 114 AFH 211 107 0 0 76 4 0.0061 64.4785 115 AFH 215 108 0 0 1.2E+02 5 0.0058 64.4787 116 AFH 217 109 0 0 1.1E+02 5 0.016 64.4798 117 AFH 219 110 0 0 1.1E+02 5 0.015 64.4801 118 AFH 221 111 0 0 1.5E+02 4 0.004 64.481 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 225 112 0 0 1.1E+02 5 0.0052 64.4811 120 AFH 228 113 0 0 82 4 0.011 64.4811 121 AFH 230 114 0 0 83 5 0.0076 64.4818 122 AFH 232 115 0 0 49 5 0.01 64.4824 123 AFH 234 116 0 0 1.2E+02 5 0.0057 64.4827 124 AFH 236 117 0 0 1.2E+02 5 0.011 64.4838 125 AFH 237 118 0 0 99 5 0.0041 64.4845 126 AFH 241 119 0 0 93 5 0.0053 64.4847 127 AFH 243 120 0 0 95 4 0.0042 64.4852 128 AFH 246 121 0 0 1.3E+02 5 0.018 64.4855 129 AFH 247 122 0 0 1.1E+02 5 0.0035 64.4859 130 AFH 251 123 0 0 1.2E+02 4 0.0053 64.4864 131 AFH 254 124 0 0 1.2E+02 5 0.011 64.4868 132 AFH 256 125 0 0 87 5 0.0058 64.4871 133 AFH 257 126 0 0 65 5 0.0054 64.4872 134 AFH 259 127 0 0 1E+02 5 0.0082 64.4873 135 AFH 261 128 0 0 1.1E+02 5 0.0096 64.4877 136 AFH 262 129 0 0 1.2E+02 4 0.0027 64.4877 137 AFH 266 130 0 0 1.3E+02 5 0.007 64.4879 138 AFH 269 131 0 0 1.3E+02 5 0.0052 64.4879 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 271 132 0 0 1.2E+02 5 0.0081 64.488 140 AFH 273 133 0 0 1.1E+02 4 0.0059 64.4884 141 AFH 274 134 0 0 76 4 0.005 64.4888 142 AFH 275 135 0 0 1.3E+02 5 0.0077 64.489 143 AFH 277 136 0 0 65 5 0.007 64.4894 144 AFH 279 137 0 0 91 5 0.0045 64.4902 145 AFH 281 138 0 0 97 5 0.0039 64.4905 146 AFH 284 139 0 0 78 5 0.0038 64.4905 147 AFH 285 140 0 0 97 5 0.011 64.4907 148 AFH 286 141 0 0 1.3E+02 5 0.0085 64.4907 149 AFH 287 142 0 0 1.2E+02 5 0.0054 64.4907 150 AFH 289 143 0 0 86 5 0.011 64.4908 151 AFH 290 144 0 0 1.1E+02 5 0.004 64.4908 152 AFH 293 145 0 0 80 4 0.0061 64.4911 153 AFH 295 146 0 0 1.1E+02 5 0.0035 64.4913 154 AFH 297 147 0 0 83 5 0.0042 64.4916 155 AFH 299 148 0 0 1.4E+02 5 0.0032 64.4916 156 AFH 302 149 0 0 92 5 0.0018 64.4916 157 AFH 305 150 0 0 1.5E+02 5 0.0048 64.4919 158 AFH 307 151 0 0 69 5 0.0035 64.492 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 308 152 0 0 1E+02 5 0.0031 64.4921 160 AFH 309 153 0 0 73 5 0.0026 64.4922 161 AFH 310 154 0 0 78 5 0.0074 64.4922 162 AFH 312 155 0 0 99 5 0.0022 64.4924 163 AFH 315 156 0 0 1.3E+02 5 0.0036 64.4925 164 AFH 316 157 0 0 76 5 0.0031 64.4926 165 AFH 317 158 0 0 1.3E+02 5 0.0062 64.4926 166 AFH 318 159 0 0 93 5 0.0024 64.4926 167 AFH 321 160 0 0 82 5 0.0024 64.4929 168 AFH 322 161 0 0 1.2E+02 5 0.0027 64.4929 169 AFH 324 162 0 0 1.1E+02 5 0.0035 64.493 170 AFH 325 163 0 0 1.1E+02 5 0.0053 64.4932 171 AFH 327 164 0 0 64 5 0.0017 64.4932 172 AFH 330 165 0 0 1.3E+02 5 0.0066 64.4935 173 AFH 331 166 0 0 91 4 0.0022 64.4936 174 AFH 333 167 0 0 92 4 0.0075 64.4936 175 AFH 334 168 0 0 1E+02 5 0.0024 64.4937 176 AFH 337 169 0 0 1E+02 4 0.0058 64.4938 177 AFH 338 170 0 0 1E+02 5 0.0015 64.4939 178 AFH 340 171 0 0 1E+02 5 0.0024 64.494 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 342 172 0 0 92 4 0.004 64.494 180 AFH 343 173 0 0 87 5 0.0016 64.4941 181 AFH 345 174 0 0 1E+02 5 0.0025 64.4942 182 AFH 346 175 0 0 1.3E+02 5 0.0014 64.4943 183 AFH 348 176 0 0 1.1E+02 4 0.0025 64.4944 184 AFH 350 177 0 0 92 5 0.001 64.4945 185 AFH 351 178 0 0 1E+02 5 0.0022 64.4945 186 AFH 354 179 0 0 1.1E+02 5 0.0031 64.4945 187 AFH 356 180 0 0 1.4E+02 5 0.0025 64.4947 188 AFH 358 181 0 0 1.2E+02 5 0.00085 64.4947 189 AFH 359 182 0 0 1.1E+02 5 0.0047 64.4947 190 AFH 360 183 0 0 90 4 0.0032 64.4947 191 AFH 361 184 0 0 1.3E+02 5 0.0032 64.4947 192 AFH 364 185 0 0 1.3E+02 5 0.002 64.4948 193 AFH 365 186 0 0 1.1E+02 5 0.002 64.4948 194 AFH 367 187 0 0 1.1E+02 5 0.00095 64.4949 195 AFH 368 188 0 0 1.1E+02 5 0.0024 64.495 196 AFH 370 189 0 0 1.1E+02 4 0.0033 64.495 197 AFH 371 190 0 0 78 5 0.0022 64.495 198 AFH 373 191 0 0 1.1E+02 5 0.0014 64.4951 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 374 192 0 0 1.5E+02 4 0.0027 64.4951 200 AFH 375 193 0 0 58 5 0.002 64.4951 201 AFH 378 194 0 0 98 5 0.0022 64.4952 202 AFH 379 195 0 0 88 5 0.0018 64.4952 203 AFH 381 196 0 0 71 5 0.0019 64.4952 204 AFH 382 197 0 0 85 5 0.002 64.4952 205 AFH 384 198 0 0 1E+02 5 0.00089 64.4952 206 AFH 385 199 0 0 1.5E+02 5 0.00083 64.4952 207 AFH 386 200 0 0 74 5 0.0013 64.4952 208 AFH 387 201 0 0 1.1E+02 5 0.0012 64.4953 209 AFH 388 202 0 0 1.1E+02 5 0.0026 64.4953 210 AFH 389 203 0 0 1.1E+02 5 0.0017 64.4954 211 AFH 391 204 0 0 90 5 0.0013 64.4954 212 AFH 394 205 0 0 1.3E+02 5 0.0016 64.4954 213 AFH 395 206 0 0 77 5 0.001 64.4954 214 AFH 396 207 0 0 85 5 0.00088 64.4954 215 AFH 397 208 0 0 99 4 0.0016 64.4955 216 AFH 399 209 0 0 1.1E+02 5 0.0012 64.4955 217 AFH 400 210 0 0 97 4 0.0019 64.4955 218 AFH 402 211 0 0 1.3E+02 5 0.0016 64.4955 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 403 212 0 0 1.4E+02 5 0.0015 64.4955 220 AFH 404 213 0 0 1.4E+02 5 0.00065 64.4956 221 AFH 405 214 0 0 1.2E+02 5 0.00089 64.4956 222 AFH 406 215 0 0 98 5 0.0023 64.4956 223 AFH 408 216 0 0 87 5 0.0019 64.4956 224 AFH 409 217 0 0 79 5 0.00096 64.4956 225 AFH 410 218 0 0 79 4 0.0016 64.4956 226 AFH 411 219 0 0 1.4E+02 5 0.00097 64.4955 227 AFH 412 220 0 0 1E+02 5 0.00099 64.4957 228 AFH 413 221 0 0 1.2E+02 5 0.0019 64.4957 229 AFH 416 222 0 0 1.1E+02 5 0.0022 64.4957 230 AFH 417 223 0 0 97 5 0.0012 64.4957 231 AFH 418 224 0 0 1.5E+02 5 0.0012 64.4958 232 AFH 419 225 0 0 1.4E+02 5 0.00086 64.4956 233 AFH 420 226 0 0 1.5E+02 5 0.0014 64.4958 234 AFH 421 227 0 0 45 5 0.001 64.4958 235 AFH 422 228 0 0 1.3E+02 5 0.001 64.4958 236 AFH 423 229 0 0 1E+02 4 0.0012 64.4958 237 AFH 424 230 0 0 86 5 0.0014 64.4958 238 AFH 425 231 0 0 1.3E+02 5 0.0018 64.4959 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 426 232 0 0 79 5 0.0012 64.4959 240 AFH 427 233 0 0 1E+02 5 0.00091 64.4959 241 AFH 428 234 0 0 89 5 0.00087 64.4959 242 AFH 429 235 0 0 90 4 0.0012 64.4959 243 AFH 430 236 0 0 91 5 0.0015 64.496 244 AFH 431 237 0 0 1.1E+02 5 0.0017 64.496 245 AFH 432 238 0 0 1E+02 5 0.0013 64.496 246 AFH 433 239 0 0 1.1E+02 5 0.0011 64.496 247 AFH 434 240 0 0 91 5 0.0013 64.496 248 AFH 435 241 0 0 1.3E+02 5 0.0022 64.4961 249 AFH 436 242 0 0 97 5 0.00082 64.4961 250 AFH 437 243 0 0 1E+02 5 0.0011 64.4961 251 AFH 438 244 0 0 90 5 0.0019 64.4961 252 AFH 439 245 0 0 86 5 0.00066 64.4961 253 AFH 440 246 0 0 1E+02 5 0.00081 64.4962 254 AFH 441 247 0 0 60 5 0.0013 64.4962 255 AFH 442 248 0 0 49 4 0.0011 64.4962 256 AFH 443 249 0 0 99 5 0.0011 64.4962 257 AFH 444 250 0 0 99 5 0.0037 64.4962 258 AFH 445 251 0 0 1.2E+02 5 0.0011 64.4963 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 447 252 0 0 98 5 0.00069 64.4963 260 AFH 448 253 0 0 1.3E+02 5 0.00099 64.4963 261 AFH 449 254 0 0 99 5 0.00097 64.4964 262 AFH 450 255 0 0 1.1E+02 5 0.00067 64.4964 263 AFH 451 256 0 0 1.5E+02 4 0.00099 64.4964 264 AFH 452 257 0 0 1E+02 5 0.00091 64.4964 265 AFH 453 258 0 0 1.4E+02 5 0.0016 64.4965 266 AFH 454 259 0 0 1.5E+02 5 0.00083 64.4965 267 AFH 455 260 0 0 75 5 0.0013 64.4965 268 AFH 456 261 0 0 1.1E+02 5 0.001 64.4965 269 AFH 457 262 0 0 93 5 0.0011 64.4965 270 AFH 458 263 0 0 1.3E+02 5 0.00093 64.4966 271 AFH 459 264 0 0 1.2E+02 5 0.00078 64.4966 272 AFH 460 265 0 0 1.3E+02 4 0.00098 64.4965 273 AFH 461 266 0 0 76 5 0.0006 64.4966 274 AFH 462 267 0 0 85 5 0.00084 64.4966 275 AFH 463 268 0 0 74 5 0.00072 64.4966 276 AFH 464 269 0 0 78 5 0.0014 64.4966 277 AFH 465 270 0 0 1.1E+02 5 0.001 64.4966 278 AFH 466 271 0 0 77 5 0.00065 64.4966 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 467 272 0 0 1.1E+02 5 0.0013 64.4966 280 AFH 469 273 0 0 88 5 0.00077 64.4966 281 AFH 470 274 0 0 96 5 0.00088 64.4966 282 AFH 471 275 0 0 1.1E+02 4 0.00061 64.4966 283 AFH 472 276 0 0 90 5 0.00053 64.4967 284 AFH 473 277 0 0 90 5 0.001 64.4967 285 AFH 474 278 0 0 85 5 0.001 64.4967 286 AFH 475 279 0 0 91 5 0.00081 64.4967 287 AFH 476 280 0 0 1.1E+02 5 0.00066 64.4967 288 AFH 477 281 0 0 1.2E+02 4 0.00078 64.4967 289 AFH 478 282 0 0 87 3 0.00087 64.4967 290 AFH 479 283 0 0 1.1E+02 5 0.00067 64.4967 291 AFH 480 284 0 0 1E+02 5 0.0013 64.4967 292 AFH 481 285 0 0 1.1E+02 4 0.00087 64.4967 293 AFH 482 286 0 0 1.4E+02 5 0.00069 64.4967 294 AFH 483 287 0 0 1.4E+02 5 0.00063 64.4967 295 AFH 484 288 0 0 72 5 0.002 64.4967 296 AFH 485 289 0 0 1.2E+02 5 0.0015 64.4967 297 AFH 487 290 0 0 91 4 0.00069 64.4967 298 AFH 488 291 0 0 98 5 0.00059 64.4967 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 489 292 0 0 98 5 0.00043 64.4967 300 AFH 490 293 0 0 37 4 0.00091 64.4967 301 AFH 491 294 0 0 1E+02 5 0.00058 64.4968 302 AFH 492 295 0 0 1.1E+02 5 0.00069 64.4968 303 AFH 493 296 0 0 1.2E+02 5 0.0012 64.4968 304 AFH 494 297 0 0 1.2E+02 3 0.00068 64.4968 305 AFH 495 298 0 0 1.1E+02 4 0.00089 64.4968 306 AFH 496 299 0 0 1.1E+02 5 0.0019 64.4968 307 AFH 497 300 0 0 88 4 0.00095 64.4968 308 AFH 498 301 0 0 1.2E+02 4 0.00078 64.4968 309 AFH 499 302 0 0 1E+02 5 0.00091 64.4968 310 AFH 500 303 0 0 93 5 0.00057 64.4968 311 AFH 501 304 0 0 1E+02 5 0.00062 64.4968 312 AFH 502 305 0 0 82 4 0.00093 64.4968 313 AFH 503 306 0 0 1E+02 4 0.00063 64.4968 314 AFH 504 307 0 0 89 5 0.00048 64.4968 315 AFH 505 308 0 0 1.1E+02 5 0.00055 64.4968 316 AFH 506 309 0 0 87 5 0.0018 64.4969 317 AFH 507 310 0 0 1.1E+02 4 0.00083 64.4969 318 AFH 508 311 0 0 95 5 0.00079 64.4969 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 509 312 0 0 1.3E+02 4 0.0011 64.4969 320 AFH 510 313 0 0 1.3E+02 5 0.00063 64.4969 321 AFH 511 314 0 0 1.1E+02 5 0.00085 64.4969 322 AFH 512 315 0 0 1.2E+02 5 0.0013 64.4969 323 AFH 513 316 0 0 85 5 0.002 64.4969 324 AFH 514 317 0 0 71 5 0.0003 64.4969 325 AFH 515 318 0 0 81 5 0.00046 64.4969 326 AFH 516 319 0 0 1.4E+02 5 0.0009 64.4969 327 AFH 517 320 0 0 1.4E+02 5 0.00042 64.4969 328 AFH 518 321 0 0 1.1E+02 5 0.0013 64.4969 329 AFH 519 322 0 0 1E+02 5 0.00056 64.4969 330 AFH 520 323 0 0 83 5 0.00087 64.497 331 AFH 521 324 0 0 83 5 0.0011 64.497 332 AFH 522 325 0 0 1.3E+02 4 0.00069 64.497 333 AFH 523 326 0 0 1.1E+02 5 0.00034 64.497 334 AFH 524 327 0 0 87 2 0.0016 64.497 335 AFH 525 328 0 0 1.2E+02 5 0.00051 64.497 336 AFH 526 329 0 0 1E+02 5 0.0016 64.497 337 AFH 527 330 0 0 1.1E+02 3 0.00069 64.497 338 AFH 528 331 0 0 75 5 0.00033 64.497 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 529 332 0 0 97 5 0.00053 64.497 340 AFH 530 333 0 0 1.2E+02 5 0.0011 64.497 341 AFH 531 334 0 0 88 5 0.00031 64.497 342 AFH 532 335 0 0 91 5 0.00037 64.497 343 AFH 533 336 0 0 59 4 0.0005 64.497 344 AFH 534 337 0 0 1.1E+02 4 0.00066 64.4968 345 AFH 535 338 0 0 1E+02 4 0.00062 64.497 346 AFH 536 339 0 0 1.1E+02 4 0.00094 64.497 347 AFH 537 340 0 0 98 5 0.00078 64.4971 348 AFH 538 341 0 0 1.1E+02 5 0.00049 64.4971 349 AFH 539 342 0 0 1.1E+02 4 0.00026 64.4971 350 AFH 540 343 0 0 99 4 0.00083 64.4971 351 AFH 541 344 0 0 1.2E+02 4 0.00033 64.4971 352 AFH 542 345 0 0 96 5 0.0007 64.4971 353 AFH 543 346 0 0 1.1E+02 4 0.00097 64.4971 354 AFH 544 347 0 0 1.3E+02 5 0.00036 64.4971 355 AFH 545 348 0 0 79 5 0.00024 64.497 356 AFH 546 349 0 0 76 4 0.00028 64.4971 357 AFH 547 350 0 0 98 4 0.0026 64.4971 358 AFH 548 351 0 0 1.2E+02 5 0.00068 64.4971 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 549 352 0 0 1.2E+02 5 0.00042 64.4971 360 AFH 550 353 0 0 1.1E+02 5 0.00048 64.4971 361 AFH 551 354 0 0 72 4 0.00052 64.4971 362 AFH 552 355 0 0 1.2E+02 5 0.00048 64.4971 363 AFH 553 356 0 0 1.4E+02 4 0.0003 64.4971 364 AFH 554 357 0 0 1.1E+02 5 0.00057 64.4971 365 AFH 555 358 0 0 1.1E+02 5 0.00043 64.4971 366 AFH 556 359 0 0 99 5 0.00033 64.4971 367 AFH 557 360 0 0 1.1E+02 5 0.00074 64.4971 368 AFH 558 361 0 0 1.5E+02 5 0.00041 64.4972 369 AFH 559 362 0 0 1.1E+02 5 0.00032 64.4972 370 AFH 560 363 0 0 90 5 0.0005 64.4972 371 AFH 561 364 0 0 1.5E+02 5 0.00087 64.4972 372 AFH 562 365 0 0 1.3E+02 5 0.00079 64.4972 373 AFH 563 366 0 0 59 5 0.00028 64.4972 374 AFH 564 367 0 0 1.1E+02 5 0.0006 64.4972 375 AFH 565 368 0 0 1.1E+02 5 0.00039 64.4972 376 AFH 566 369 0 0 96 5 0.00035 64.4972 377 AFH 567 370 0 0 1.2E+02 5 0.00038 64.4972 378 AFH 568 371 0 0 1E+02 5 0.00038 64.4972 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 569 372 0 0 1.3E+02 4 0.00061 64.4972 380 AFH 570 373 0 0 1.1E+02 5 0.00035 64.4972 381 AFH 571 374 0 0 1.3E+02 3 0.00085 64.4972 382 AFH 572 375 0 0 1.7E+02 4 0.00022 64.4972 383 AFH 573 376 0 0 1.3E+02 5 0.00039 64.4972 384 AFH 574 377 0 0 94 4 0.00047 64.4972 385 AFH 575 378 0 0 1.2E+02 5 0.00037 64.4972 386 AFH 576 379 0 0 89 4 0.00024 64.4972 387 AFH 577 380 0 0 1.4E+02 5 0.00026 64.4968 388 AFH 578 381 0 0 1.3E+02 5 0.0004 64.4972 389 AFH 579 382 0 0 90 5 0.00037 64.4972 390 AFH 580 383 0 0 68 4 0.0003 64.4972 391 AFH 581 384 0 0 1.3E+02 4 0.00051 64.4972 392 AFH 582 385 0 0 1.6E+02 4 0.00036 64.4973 393 AFH 583 386 0 0 87 5 0.00054 64.4973 394 AFH 584 387 0 0 1.3E+02 5 0.00025 64.4973 395 AFH 585 388 0 0 67 5 0.00033 64.4973 396 AFH 586 389 0 0 1.2E+02 5 0.00062 64.4973 397 AFH 587 390 0 0 95 5 0.00049 64.4973 398 AFH 588 391 0 0 99 5 0.00043 64.4973 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 589 392 0 0 1.2E+02 5 0.00049 64.4973 400 AFH 590 393 0 0 1.1E+02 5 0.00026 64.4973 401 AFH 591 394 0 0 1E+02 4 0.00067 64.4973 402 AFH 592 395 0 0 74 5 0.00029 64.4973 403 AFH 593 396 0 0 1.1E+02 5 0.00033 64.4973 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.22_FLay05M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 64.498061986732267314 Max constraint (1) : 9.3596241867999196984e-11 Alternative solution : MIP Alt. objective value : 64.498059308866103834 Max constraint (1) : 9.7011389588175234167e-07 Time used (seconds) : 7202.01 Time limit (seconds) : 7200 Iterations used : 404 Iteration limit : -1 Function evaluations : 2365 Gradient evaluations : 598 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 349/404 NLP solver calls : 403 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay05M.gms(214) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay05M.gms Stop 09/14/12 16:37:35 elapsed 2:00:02.245 @04 1347633455 ----------------------------- Fr 14. Sep 16:37:35 CEST 2012 ----------------------------- =ready= Linux opt219 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay06H.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay06H.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay06H.gms(1600) 2 Mb --- Starting execution: elapsed 0:00:00.018 --- FLay06H.gms(1598) 3 Mb --- Generating MINLP model m --- FLay06H.gms(1600) 5 Mb --- 694 rows 567 columns 1,851 non-zeroes --- 30 nl-code 6 nl-non-zeroes --- 60 discrete-columns --- FLay06H.gms(1600) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.028 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.23_FLay06H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1851 elements of which 0% are non-linear(NL) included in 694 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 6 from a total of 567 variables: Continuous(507), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=121 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (18) infeasibile 0 H 0 0 0 1 0 6 66 NA 1 SAFG 4 1 0 1 1E+03 0 2.4E-10 66.9328 1 FOUND SOLUTION: 66.9328 (NLP) in 1 sec. 2 SAFH 4 1 0 1 8E+02 6 34 16.4071 3 SAFH 10 2 0 1 79 6 16 20.6848 4 SAFH 15 3 0 1 1.4E+02 6 7.9 28.8668 5 SAFH 19 4 0 1 2.5E+02 6 3.7 43.8369 6 SAFH 23 5 0 1 4.3E+02 6 2.6 58.5318 7 SAFH 25 6 0 1 3.8E+02 6 1.1 62.8845 8 SAFH 28 7 0 1 2.5E+02 6 0.24 66.2478 9 SAFH 29 8 0 1 1.8E+02 4 0.17 66.671 10 SAFH 32 9 0 1 1.1E+02 6 0.039 66.7045 11 SAFH 36 10 0 1 48 6 0.039 66.7982 12 SAFH 37 11 0 1 0.74 5 0.0092 66.8762 13 SAFH 41 12 0 1 22 6 0.0036 66.9191 14 SAFH 44 13 0 1 12 6 0.00058 66.9295 15 SAFH 45 14 0 1 0.0076 5 0.00047 66.9307 16 SAFH 46 15 0 1 5.7 6 0.00035 66.9311 17 SAFH 47 16 0 1 0.0024 5 0.00014 66.9318 18 SAFH 48 17 0 1 2.8 6 0.00022 66.9318 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 49 18 0 1 2.8 4 0.00012 66.9322 20 SAFH 50 19 0 1 2.8 5 0.00017 66.9323 21 SAFH 51 20 0 1 4.3 6 5.4E-05 66.9326 22 SAFH 52 21 0 1 2.1 5 8.6E-05 66.9326 23 SAFH 53 22 0 1 2.1 5 4.3E-05 66.9327 24 SAFH 54 23 0 1 2.1 4 1.4E-05 66.9328 25 SAFH 55 24 0 1 0.00042 3 1.1E-05 66.9328 26 SAFH 56 25 0 1 1.1 3 3.4E-06 66.9328 27 SAFH 57 26 0 1 0.00011 2 2.7E-06 66.9328 28 SAFJL 58 27 0 1 0.53 0 8.5E-07 66.9328 28 FOUND SOLUTION: 66.9328 in 1 sec. 29 SAFH 54 26 0 0.5 1.2E+03 5 1.2 75.0428 30 SAFH 55 27 0 0.5 1.2E+03 6 0.64 66.176 31 SAFH 56 28 0 0.5 2.1E+02 6 0.073 66.889 32 SAFH 57 29 0 0.5 1.3E+03 5 7.6 67.247 33 SAFH 58 30 0 0.5 2E+03 6 1.3 104.881 34 SAFH 59 31 0 0.5 1.9E+03 4 0.89 70.292 35 SAFH 60 32 0 0.5 1.2E+03 5 1 66.7957 36 SAFH 61 33 0 0.5 1.4E+03 6 0.76 81.7203 37 SAFH 65 34 0 0.5 1.6E+03 6 0.35 96.1096 38 SAFH 66 35 0 0.5 1.3E+03 6 3.1 68.2615 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 68 36 0 0.5 1.3E+03 6 0.4 66.5269 40 SAFH 70 37 0 0.5 1.2E+03 6 0.19 81.5774 41 SAFH 73 38 0 0.5 8.2E+02 6 0.13 76.6945 42 SAFH 75 39 0 0.5 1.1E+03 6 0.14 75.9236 43 SAFH 77 40 0 0.5 9.3E+02 6 0.03 78.0963 44 SAFH 80 41 0 0.5 1.2E+03 6 0.27 105.76 45 SAFH 81 42 0 0.5 1.2E+03 5 0.11 97.7049 46 SAFH 82 43 0 0.5 1.3E+03 5 0.11 86.2823 47 SAFH 84 44 0 0.5 1.5E+03 5 0.096 75.2175 48 SAFH 85 45 0 0.5 1.3E+03 6 0.15 71.2379 49 SAFH 86 46 0 0.5 1.5E+03 6 0.25 109.309 50 SAFH 88 47 0 0.5 1.2E+03 6 0.22 72.0423 51 SAFH 90 48 0 0.5 1.3E+03 6 0.11 66.8032 52 SAFH 91 49 0 0.5 1.4E+03 6 0.064 94.164 53 SAFH 92 50 0 0.5 1.6E+03 5 0.062 112.594 54 SAFH 93 51 0 0.5 1.1E+03 6 0.1 69.0943 55 SAFH 94 52 0 0.5 1.1E+03 6 0.0073 71.9359 56 SAFH 97 53 0 0.5 14 6 0.0068 71.9532 57 SAFH 99 54 0 0.5 26 6 0.0016 71.9652 58 SAFH 101 55 0 0.5 1.4E+03 6 0.083 100.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 103 56 0 0.5 1.6E+03 5 0.19 102.941 60 SAFH 104 57 0 0.5 2E+03 6 0.4 69.4668 61 SAFH 105 58 0 0.5 1.4E+03 5 0.037 88.592 62 SAFH 109 59 0 0.5 9.6E+02 6 0.022 77.6742 63 SAFH 112 60 0 0.5 1.2E+03 6 0.025 74.0261 64 SAFH 113 61 0 0.5 9.8E+02 5 0.11 85.7607 65 SAFH 115 62 0 0.5 1E+03 6 0.029 66.9046 66 SAFH 116 63 0 0.5 1E+03 4 0.029 89.638 67 SAFJ 120 64 0 0.5 1.2E+03 0 8.5E-07 66.9328 68 SAFJ 120 64 0 0.3 0 0 8.5E-07 66.9328 69 SAFJ 120 64 0 0.2 0 0 8.5E-07 66.9328 70 SAFJ 120 64 0 0.1 0 0 8.5E-07 66.9328 71 AFH 120 64 0 0 1.7E+03 6 1.8 65.8122 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.23_FLay06H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 66.932802120907922472 Max constraint (5) : 2.4349766647446813295e-10 Alternative solution : MIP Alt. objective value : 66.93279811283312597 Max constraint (2) : 8.4874641181897914066e-07 Time used (seconds) : 7202.04 Time limit (seconds) : 7200 Iterations used : 72 Iteration limit : -1 Function evaluations : 1368 Gradient evaluations : 127 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 2/72 NLP solver calls : 71 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay06H.gms(1600) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay06H.gms Stop 09/14/12 16:37:35 elapsed 2:00:02.249 @04 1347633455 ----------------------------- Fr 14. Sep 16:37:35 CEST 2012 ----------------------------- =ready= Linux opt220 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/FLay/gms/FLay06M.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job FLay06M.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- FLay06M.gms(280) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- FLay06M.gms(278) 3 Mb --- Generating MINLP model m --- FLay06M.gms(280) 5 Mb --- 94 rows 87 columns 351 non-zeroes --- 30 nl-code 6 nl-non-zeroes --- 60 discrete-columns --- FLay06M.gms(280) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.24_FLay06M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 351 elements of which 2% are non-linear(NL) included in 94 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 6 from a total of 87 variables: Continuous(27), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (18) infeasibile 0 H 0 0 0 1 0 6 66 NA 1 SAFG 4 1 0 1 1.9E+02 0 0 66.9328 1 FOUND SOLUTION: 66.9328 (NLP) in 1 sec. 2 SAFH 4 1 0 1 1.4E+02 6 34 23.5752 3 SAFH 10 2 0 1 43 6 17 44.2701 4 SAFH 16 3 0 1 1.1E+02 6 1.8 65.9323 5 SAFH 17 4 0 1 33 6 2.2 66.4687 6 SAFH 18 5 0 1 21 6 0.65 66.512 7 SAFH 20 6 0 1 14 6 0.39 66.6532 8 SAFH 22 7 0 1 0.32 6 0.19 66.8589 9 SAFH 26 8 0 1 11 6 0.044 66.8711 10 SAFH 32 9 0 1 4.9 6 0.011 66.9149 11 SAFH 37 10 0 1 2.3 6 0.0029 66.9291 12 SAFH 43 11 0 1 1.2 6 0.00062 66.9316 13 SAFH 44 12 0 1 0.0014 5 0.00062 66.9318 14 SAFH 45 13 0 1 0.0024 4 0.00062 66.9322 15 SAFH 46 14 0 1 0.0029 3 0.00063 66.9323 16 SAFH 47 15 0 1 0.014 2 0.00061 66.9325 17 SAFH 48 16 0 1 0.58 6 0.0014 66.9326 18 SAFH 49 17 0 1 0.00069 5 0.00015 66.9328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 50 18 0 1 0.29 6 4.2E-05 66.9328 20 SAFH 51 19 0 1 2.1E-05 5 3.8E-05 66.9328 21 SAFH 52 20 0 1 0.14 6 9.6E-06 66.9328 22 SAFH 53 21 0 1 4.8E-06 5 9.6E-06 66.9328 23 SAFH 54 22 0 1 0.072 6 2E-05 66.9328 24 SAFH 55 23 0 1 0.1 4 5E-06 66.9328 25 SAFH 56 24 0 1 0.04 5 2.4E-06 66.9328 26 SAFH 57 25 0 1 0.036 3 4.6E-06 66.9328 27 SAFH 58 26 0 1 0.036 3 2.4E-06 66.9328 28 SAFH 59 27 0 1 0.012 3 1.3E-06 66.9328 29 SAFH 60 28 0 1 0.026 2 2.6E-06 66.9328 30 SAFH 61 29 0 1 0.028 1 1.2E-06 66.9328 31 SAFH 62 30 0 1 0.025 1 2.2E-06 66.9328 32 SAFJL 63 31 0 1 0.035 0 6.4E-07 66.9328 33 SAFH 59 30 0 0.5 2.2E+02 6 7.1 30.6457 34 SAFH 65 31 0 0.5 1.4E+02 6 2.3 60.2056 35 SAFH 68 32 0 0.5 91 6 0.89 66.9937 36 SAFH 72 33 0 0.5 81 6 0.24 66.1547 37 SAFH 75 34 0 0.5 22 6 0.15 66.6931 38 SAFH 76 35 0 0.5 16 6 0.21 66.7474 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 77 36 0 0.5 12 6 0.056 66.8324 40 SAFH 78 37 0 0.5 4.8 6 0.031 66.8835 41 SAFH 81 38 0 0.5 11 6 0.0081 66.8992 42 SAFH 84 39 0 0.5 23 6 0.14 69.0059 43 SAFH 85 40 0 0.5 23 6 0.39 72.5024 44 SAFH 86 41 0 0.5 13 6 0.077 73.2421 45 SAFH 89 42 0 0.5 13 6 0.036 73.2778 46 SAFH 90 43 0 0.5 2.5 6 0.014 73.347 47 SAFH 93 44 0 0.5 1.9 6 0.0073 73.3709 48 SAFH 95 45 0 0.5 2.3 6 0.0023 73.3795 49 SAFH 96 46 0 0.5 0.62 6 0.00095 73.3802 50 SAFH 97 47 0 0.5 1.1 6 0.0019 73.3808 51 SAFH 99 48 0 0.5 1.8 6 0.00057 73.3813 52 SAFH 100 49 0 0.5 0.35 6 0.00047 73.3817 53 SAFH 101 50 0 0.5 0.7 6 0.0003 73.3823 54 SAFH 102 51 0 0.5 0.37 6 0.00024 73.3825 55 SAFH 103 52 0 0.5 0.37 5 0.00019 73.3826 56 SAFH 104 53 0 0.5 0.55 6 0.00025 73.3827 57 SAFH 105 54 0 0.5 0.55 4 0.00014 73.3828 58 SAFH 106 55 0 0.5 0.25 6 0.00012 73.3829 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 107 56 0 0.5 0.35 5 6.6E-05 73.383 60 SAFH 108 57 0 0.5 0.00034 4 3.8E-05 73.3831 61 SAFH 109 58 0 0.5 0.00023 3 3.6E-05 73.3831 62 SAFH 110 59 0 0.5 0.12 5 2.9E-05 73.3832 63 SAFH 111 60 0 0.5 0.17 6 1.8E-05 73.3832 64 SAFH 112 61 0 0.5 0.0001 5 1.6E-05 73.3832 65 SAFH 113 62 0 0.5 0.13 4 7.3E-06 73.3832 66 SAFH 114 63 0 0.5 0.041 5 4.1E-06 73.3832 67 SAFH 115 64 0 0.5 0.017 4 4.6E-06 73.3832 68 SAFH 116 65 0 0.5 0.044 4 3.5E-06 73.3832 69 SAFH 117 66 0 0.5 0.058 2 4.4E-06 73.3832 70 SAFH 118 67 0 0.5 0.058 2 1.8E-06 73.3832 71 SAFH 119 68 0 0.5 0.044 1 1.2E-06 73.3832 72 SAFJ 120 69 0 0.5 0.022 0 4.6E-07 73.3832 73 SAFJ 120 69 0 0.3 0 0 4.6E-07 73.3832 74 SAFJ 120 69 0 0.2 0 0 4.6E-07 73.3832 75 SAFJ 120 69 0 0.1 0 0 4.6E-07 73.3832 76 AFH 120 69 0 0 1.7E+02 6 2.8 54.0283 77 AFH 123 70 0 0 1.7E+02 6 0.87 63.6142 78 AFH 126 71 0 0 1.4E+02 6 1 65.1051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 129 72 0 0 1.1E+02 6 0.59 65.1058 80 AFH 131 73 0 0 1.4E+02 6 0.65 65.6795 81 AFH 133 74 0 0 1.5E+02 6 0.27 65.7805 82 AFH 134 75 0 0 1E+02 6 0.42 66.0028 83 AFH 137 76 0 0 1.5E+02 6 0.2 66.1764 84 AFH 141 77 0 0 1.4E+02 6 0.36 66.2945 85 AFH 144 78 0 0 1.3E+02 6 0.31 66.3934 86 AFH 145 79 0 0 84 6 0.096 66.4 87 AFH 150 80 0 0 94 6 0.18 66.5334 88 AFH 152 81 0 0 1.3E+02 6 0.19 66.5731 89 AFH 153 82 0 0 1.1E+02 6 0.07 66.5862 90 AFH 157 83 0 0 1.3E+02 6 0.26 66.5997 91 AFH 158 84 0 0 1.8E+02 6 0.54 66.6318 92 AFH 159 85 0 0 1.4E+02 6 0.12 66.6665 93 AFH 161 86 0 0 1.4E+02 6 0.14 66.6786 94 AFH 162 87 0 0 1.3E+02 6 0.12 66.6891 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.24_FLay06M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 66.932802122726059224 Max constraint (2) : 0 Alternative solution : MIP Alt. objective value : 66.932802122726059224 Max constraint (2) : 0 Time used (seconds) : 7202.18 Time limit (seconds) : 7200 Iterations used : 95 Iteration limit : -1 Function evaluations : 1254 Gradient evaluations : 168 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 20/95 NLP solver calls : 94 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- FLay06M.gms(280) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job FLay06M.gms Stop 09/14/12 16:37:35 elapsed 2:00:02.388 @04 1347633455 ----------------------------- Fr 14. Sep 16:37:35 CEST 2012 ----------------------------- =ready= Linux opt221 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810H.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job RSyn0810H.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810H.gms(1107) 2 Mb --- Starting execution: elapsed 0:00:00.016 --- RSyn0810H.gms(1105) 3 Mb --- Generating MINLP model m --- RSyn0810H.gms(1107) 5 Mb --- 484 rows 344 columns 1,182 non-zeroes --- 100 nl-code 18 nl-non-zeroes --- 42 discrete-columns --- RSyn0810H.gms(1107) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.024 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.25_RSyn0810H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1182 elements of which 2% are non-linear(NL) included in 484 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 18 from a total of 344 variables: Continuous(302), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=79 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (438) infeasibile 0 H 0 0 0 1 0 6 0.11 NA 1 SAFG 6 1 0 1 1.1E+03 0 0 1123.75 1 FOUND SOLUTION: 1123.75 (NLP) in 1 sec. 2 SAFH 6 1 0 1 3.5E+02 4 2.4 2047.89 3 SAFH 8 2 0 1 1.1E+02 3 1.2 1676.53 4 SAFH 11 3 0 1 1.8E+02 2 2 1449.58 5 SAFH 12 4 0 1 8.3 1 0.4 1227.68 6 SAFH 13 5 0 1 70 1 0.016 1130.77 7 SAFJL 14 6 0 1 0.85 0 0 1123.75 8 SAFG 8 5 0 0.5 1.1E+03 0 0 1652.55 8 FOUND SOLUTION: 1652.55 (NLP) in 1 sec. 9 SAFH 8 5 0 0.5 3.5E+02 1 2.9 1806.9 10 SAFH 9 6 0 0.5 1E+02 1 1.4 1794.91 11 SAFH 10 7 0 0.5 1.7E+02 1 0.48 1774.95 12 SAFH 11 8 0 0.5 71 1 0.019 1660.92 13 SAFJ 12 9 0 0.5 0.99 0 0 1652.55 14 SAFJ 12 9 0 0.3 0 0 0 1652.55 15 SAFJ 12 9 0 0.2 0 0 0 1652.55 16 SAFJ 12 9 0 0.1 0 0 0 1652.55 17 AFG 12 9 0 0 4.4E+02 0 0 1721.45 17 FOUND SOLUTION: 1721.45 (NLP) in 1 sec. 18 AFH 12 9 0 0 10 1 0.026 1722.63 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 13 10 0 0 10 1 0.00028 1721.46 20 AFJ 14 11 0 0 0.11 0 3.2E-08 1721.45 20 FOUND SOLUTION: 1721.45 in 1 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.25_RSyn0810H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1721.447792929201114 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 1721.4477944154914439 Max constraint (2) : 3.2428239658802034256e-08 Time used (seconds) : 0.64 Time limit (seconds) : 7200 Iterations used : 20 Iteration limit : -1 Function evaluations : 264 Gradient evaluations : 20 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 1.9 % NLP time usage : 26.0 % MIP time usage : 72.1 % Optimal/total MIPs : 4/20 NLP solver calls : 21 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810H.gms(1107) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810H.gms Stop 09/14/12 14:37:34 elapsed 0:00:00.691 @04 1347626254 ----------------------------- Fr 14. Sep 14:37:34 CEST 2012 ----------------------------- =ready= Linux opt222 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M02H.gms =========== ----------------------------- Fr 14. Sep 14:37:33 CEST 2012 ----------------------------- @03 1347626253 --- Job RSyn0810M02H.gms Start 09/14/12 14:37:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M02H.gms(2654) 2 Mb --- Starting execution: elapsed 0:00:00.023 --- RSyn0810M02H.gms(2652) 3 Mb --- Generating MINLP model m --- RSyn0810M02H.gms(2654) 6 Mb --- 1,189 rows 791 columns 2,875 non-zeroes --- 200 nl-code 36 nl-non-zeroes --- 168 discrete-columns --- RSyn0810M02H.gms(2654) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.038 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.26_RSyn0810M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2875 elements of which 1% are non-linear(NL) included in 1189 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 36 from a total of 791 variables: Continuous(623), Binary(168), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=182 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1026) infeasibile 0 H 0 0 0 1 0 12 0.11 NA 1 SAFG 12 1 0 1 1.8E+03 0 2.3E-11 478.472 1 FOUND SOLUTION: 478.472 (NLP) in 1 sec. 2 SAFH 12 1 0 1 7.4E+02 4 3.7 1514.72 3 SAFH 14 2 0 1 3.2E+02 4 2.2 1335.54 4 SAFH 18 3 0 1 4.9E+02 4 0.71 961.976 5 SAFH 20 4 0 1 2.7E+02 4 0.29 511.189 6 SAFH 22 5 0 1 1.3E+02 4 0.094 491.094 7 SAFH 23 6 0 1 33 4 0.033 488.833 8 SAFH 26 7 0 1 99 4 0.0091 481.713 9 SAFH 28 8 0 1 51 4 0.003 479.05 10 SAFH 31 9 0 1 25 4 0.00055 478.736 11 SAFH 32 10 0 1 4.8 4 0.00042 478.654 12 SAFH 33 11 0 1 8 4 0.00061 478.575 13 SAFH 34 12 0 1 3.8 4 0.00036 478.555 14 SAFH 35 13 0 1 9.8 4 0.00015 478.534 15 SAFH 36 14 0 1 1.9 4 0.00014 478.525 16 SAFH 37 15 0 1 1.7 4 9.1E-05 478.51 17 SAFH 38 16 0 1 4.2 4 3.8E-05 478.484 18 SAFH 39 17 0 1 0.93 4 3.5E-05 478.48 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 40 18 0 1 1.2 4 1.8E-05 478.477 20 SAFH 41 19 0 1 1.6 4 8.7E-06 478.477 21 SAFH 42 20 0 1 0.62 4 8.7E-06 478.476 22 SAFH 43 21 0 1 1.2 4 5.6E-06 478.474 23 SAFH 44 22 0 1 0.0011 3 4.4E-06 478.474 24 SAFH 45 23 0 1 0.35 3 2.2E-06 478.473 25 SAFH 46 24 0 1 0.31 2 1.6E-06 478.472 26 SAFH 47 25 0 1 0.62 1 1.4E-06 478.472 27 SAFJL 48 26 0 1 0.18 0 5.5E-07 478.472 27 FOUND SOLUTION: 478.472 in 2 sec. 28 SAFG 36 25 0 0.5 2.7E+03 0 1.1E-16 1714.7 28 FOUND SOLUTION: 1714.7 (NLP) in 2 sec. 29 SAFH 36 25 0 0.5 8.4E+02 8 4.5 4655.82 30 SAFG 38 26 0 0.5 9.3E+02 0 6.1E-14 1740.39 30 FOUND SOLUTION: 1740.39 (NLP) in 2 sec. 31 SAFH 38 26 0 0.5 5.5E+02 8 2.6 4483.74 32 SAFG 42 27 0 0.5 5.6E+02 0 3.8E-12 1741.39 32 FOUND SOLUTION: 1741.39 (NLP) in 2 sec. 33 SAFH 42 27 0 0.5 73 7 1.3 2755.4 34 SAFH 44 28 0 0.5 7.6 9 1.3 2755.4 35 SAFH 46 29 0 0.5 1.2E+02 9 0.45 2344.71 36 SAFH 53 30 0 0.5 1.9E+03 9 0.76 2094.46 37 SAFH 55 31 0 0.5 1.9E+03 7 0.12 1888.24 38 SAFH 60 32 0 0.5 54 7 0.07 1783.73 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 62 33 0 0.5 27 7 0.035 1757.11 40 SAFH 65 34 0 0.5 16 7 0.017 1750.57 41 SAFH 68 35 0 0.5 11 7 0.008 1739.58 42 SAFH 71 36 0 0.5 13 7 0.0039 1736.07 43 SAFH 73 37 0 0.5 1.4 7 0.0019 1734.57 44 SAFH 77 38 0 0.5 2.3 6 0.00073 1733.66 45 SAFH 78 39 0 0.5 1.8 6 0.00049 1733.4 46 SAFH 79 40 0 0.5 1.6 6 0.00028 1733.21 47 SAFH 80 41 0 0.5 0.72 7 0.00027 1733.19 48 SAFH 81 42 0 0.5 0.96 7 0.00025 1733.14 49 SAFH 82 43 0 0.5 1 7 0.00027 1733.13 50 SAFH 83 44 0 0.5 0.014 6 0.00019 1733.06 51 SAFH 84 45 0 0.5 0.89 6 0.00012 1733.05 52 SAFH 85 46 0 0.5 0.8 6 6.8E-05 1733.05 53 SAFH 86 47 0 0.5 0.36 6 0.00011 1733.03 54 SAFH 87 48 0 0.5 0.53 6 6.8E-05 1733.03 55 SAFH 88 49 0 0.5 0.48 6 6.3E-05 1733.02 56 SAFH 89 50 0 0.5 0.53 7 4.6E-05 1733.02 57 SAFH 90 51 0 0.5 0.44 7 3.1E-05 1733.01 58 SAFH 91 52 0 0.5 0.4 7 2.8E-05 1733.01 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 92 53 0 0.5 0.0015 6 2.7E-05 1733 60 SAFH 93 54 0 0.5 0.19 6 1.7E-05 1733 61 SAFH 94 55 0 0.5 0.083 5 1.7E-05 1732.99 62 SAFH 95 56 0 0.5 0.24 5 1.6E-05 1732.99 63 SAFH 96 57 0 0.5 0.26 6 1.1E-05 1732.99 64 SAFH 97 58 0 0.5 0.22 6 7.7E-06 1732.98 65 SAFH 98 59 0 0.5 0.2 6 7.1E-06 1732.98 66 SAFH 99 60 0 0.5 0.13 5 6.8E-06 1732.98 67 SAFH 100 61 0 0.5 0.13 5 4.3E-06 1732.98 68 SAFH 101 62 0 0.5 0.12 5 2.9E-06 1732.98 69 SAFH 102 63 0 0.5 0.11 4 1.9E-06 1732.98 70 SAFH 103 64 0 0.5 0.1 3 1.8E-06 1732.98 71 SAFH 104 65 0 0.5 0.065 3 2.1E-06 1732.98 72 SAFH 105 66 0 0.5 0.096 2 1.7E-06 1732.98 73 SAFH 106 67 0 0.5 0.067 2 1.9E-06 1732.98 74 SAFH 107 68 0 0.5 0.059 1 1.1E-06 1732.98 75 SAFJ 108 69 0 0.5 0.06 0 7.2E-07 1732.98 76 SAFJ 108 69 0 0.3 0 0 7.2E-07 1732.98 77 SAFJ 108 69 0 0.2 0 0 7.2E-07 1732.98 78 SAFJ 108 69 0 0.1 0 0 7.2E-07 1732.98 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 108 69 0 0 1.6E+03 8 0.99 1788.08 80 AFH 110 70 0 0 6.1E+02 8 0.13 1783.94 81 AFH 112 71 0 0 9.6E+02 6 0.016 1741.46 82 AFH 114 72 0 0 4.9 6 0.0039 1741.45 83 AFH 116 73 0 0 2.6 6 0.00088 1741.45 84 AFH 117 74 0 0 1.2 6 0.00026 1741.44 85 AFH 118 75 0 0 0.78 6 0.00018 1741.44 86 AFH 119 76 0 0 0.85 6 6.7E-05 1741.42 87 AFH 120 77 0 0 0.45 6 6.6E-05 1741.42 88 AFH 121 78 0 0 0.4 5 4.5E-05 1741.42 89 AFH 122 79 0 0 0.43 5 3E-05 1741.41 90 AFH 123 80 0 0 0.26 6 1.7E-05 1741.4 91 AFH 124 81 0 0 0.23 6 1.7E-05 1741.4 92 AFH 125 82 0 0 0.2 7 1.1E-05 1741.4 93 AFH 126 83 0 0 0.21 7 7.6E-06 1741.4 94 AFH 127 84 0 0 0.2 7 7.4E-06 1741.39 95 AFH 128 85 0 0 0.0023 6 4.2E-06 1741.39 96 AFH 129 86 0 0 0.11 6 4.2E-06 1741.39 97 AFH 130 87 0 0 0.1 6 8.6E-06 1741.39 98 AFH 131 88 0 0 0.12 5 3.9E-06 1741.39 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 132 89 0 0 0.13 5 2.8E-06 1741.39 100 AFH 133 90 0 0 0.11 4 2.1E-06 1741.39 101 AFH 134 91 0 0 0.061 3 1.9E-06 1741.39 102 AFH 135 92 0 0 0.1 2 1.8E-06 1741.39 103 AFH 136 93 0 0 0.064 1 1E-06 1741.39 104 AFJ 137 94 0 0 0.056 0 7.1E-07 1741.39 104 FOUND SOLUTION: 1741.39 in 7 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.26_RSyn0810M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1741.3876869348127912 Max constraint (8) : 3.8097341187315333533e-12 Alternative solution : MIP Alt. objective value : 1741.3882693042808114 Max constraint (10) : 7.1174249366979213347e-07 Time used (seconds) : 6.36 Time limit (seconds) : 7200 Iterations used : 104 Iteration limit : -1 Function evaluations : 2556 Gradient evaluations : 149 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 24.6 % MIP time usage : 75.2 % Optimal/total MIPs : 26/104 NLP solver calls : 105 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M02H.gms(2654) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M02H.gms Stop 09/14/12 14:37:40 elapsed 0:00:06.438 @04 1347626260 ----------------------------- Fr 14. Sep 14:37:40 CEST 2012 ----------------------------- =ready= Linux opt221 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M02M.gms =========== ----------------------------- Fr 14. Sep 14:37:34 CEST 2012 ----------------------------- @03 1347626254 --- Job RSyn0810M02M.gms Start 09/14/12 14:37:34 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M02M.gms(1916) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- RSyn0810M02M.gms(1914) 3 Mb --- Generating MINLP model m --- RSyn0810M02M.gms(1916) 5 Mb --- 867 rows 411 columns 2,189 non-zeroes --- 80 nl-code 12 nl-non-zeroes --- 168 discrete-columns --- RSyn0810M02M.gms(1916) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.026 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.27_RSyn0810M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2189 elements of which 1% are non-linear(NL) included in 867 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 12 from a total of 411 variables: Continuous(243), Binary(168), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=111 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 2.4E+03 0 0 1359.07 1 FOUND SOLUTION: 1359.07 (NLP) in 1 sec. 2 SAFH 0 0 0 1 6E+02 8 4.5 5398.59 3 SAFH 2 1 0 1 2.2E+02 8 2.6 5219.41 4 SAFH 8 2 0 1 5.9E+02 7 3.7 3035.05 5 SAFH 10 3 0 1 1.7E+02 7 2.2 2892.74 6 SAFG 13 4 0 1 4E+02 0 2.4E-15 1360.07 6 FOUND SOLUTION: 1360.07 (NLP) in 1 sec. 7 SAFH 13 4 0 1 78 7 2.5 2549.44 8 SAFH 15 5 0 1 44 8 0.63 2128.23 9 SAFH 21 6 0 1 82 9 0.41 1663.26 10 SAFH 22 7 0 1 38 9 0.19 1610.85 11 SAFH 26 8 0 1 2.2E+02 9 2.2 1763.88 12 SAFH 27 9 0 1 1.9E+02 7 0.083 1472.43 13 SAFH 32 10 0 1 14 7 0.033 1390.87 14 SAFH 36 11 0 1 8 7 0.017 1377.6 15 SAFH 38 12 0 1 1 7 0.0077 1366.42 16 SAFH 43 13 0 1 10 7 0.0019 1361.82 17 SAFH 48 14 0 1 2.2E+02 7 0.00047 1244.89 18 SAFH 49 15 0 1 1.1 7 0.0004 1244.76 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 50 16 0 1 0.74 7 0.00031 1244.69 20 SAFH 51 17 0 1 0.48 7 0.00026 1244.66 21 SAFH 52 18 0 1 0.71 7 0.00025 1244.59 22 SAFH 53 19 0 1 0.7 7 0.00027 1244.59 23 SAFH 54 20 0 1 0.0096 6 0.00012 1244.52 24 SAFH 55 21 0 1 0.54 6 0.0001 1244.49 25 SAFH 56 22 0 1 0.37 6 7.8E-05 1244.47 26 SAFH 57 23 0 1 0.24 6 0.00011 1244.46 27 SAFH 58 24 0 1 0.34 6 6.5E-05 1244.46 28 SAFH 59 25 0 1 0.35 6 6.3E-05 1244.44 29 SAFH 60 26 0 1 0.36 7 3E-05 1244.43 30 SAFH 61 27 0 1 0.27 7 2.8E-05 1244.42 31 SAFH 62 28 0 1 0.001 6 2.8E-05 1244.42 32 SAFH 63 29 0 1 0.14 6 2.5E-05 1244.41 33 SAFH 64 30 0 1 0.19 6 2E-05 1244.41 34 SAFH 65 31 0 1 0.028 5 1.6E-05 1244.41 35 SAFH 66 32 0 1 0.18 5 1.6E-05 1244.4 36 SAFH 67 33 0 1 0.17 6 7.5E-06 1244.4 37 SAFH 68 34 0 1 0.14 6 7.1E-06 1244.4 38 SAFH 69 35 0 1 0.087 5 7E-06 1244.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 70 36 0 1 0.086 6 6.3E-06 1244.4 40 SAFH 71 37 0 1 0.093 6 4.1E-06 1244.4 41 SAFH 72 38 0 1 0.088 6 1.9E-06 1244.39 42 SAFH 73 39 0 1 0.068 5 1.8E-06 1244.39 43 SAFH 74 40 0 1 2.2E+02 5 2.1E-06 1360.07 44 SAFH 75 41 0 1 0.064 4 1.7E-06 1360.07 45 SAFH 76 42 0 1 0.043 3 3.4E-06 1360.07 46 SAFH 77 43 0 1 0.05 2 1.6E-06 1360.07 47 SAFH 78 44 0 1 0.047 1 1E-06 1360.07 48 SAFJ 79 45 0 1 0.044 0 8.4E-07 1360.07 48 FOUND SOLUTION: 1360.07 in 2 sec. 49 SAFG 79 45 0 0.5 3.5E+02 0 2.1E-13 1586.55 49 FOUND SOLUTION: 1586.55 (NLP) in 2 sec. 50 SAFH 79 45 0 0.5 0.21 2 0.0023 1587.56 51 SAFJ 81 46 0 0.5 0.16 0 8.4E-07 1586.55 51 FOUND SOLUTION: 1586.55 in 3 sec. 52 SAFJ 81 46 0 0.3 0 0 8.4E-07 1586.55 53 SAFJ 81 46 0 0.2 0 0 8.4E-07 1586.55 54 SAFJ 81 46 0 0.1 0 0 8.4E-07 1586.55 55 AFG 81 46 0 0 5.5E+02 0 0 1727.98 55 FOUND SOLUTION: 1727.98 (NLP) in 6 sec. 56 AFH 81 46 0 0 6.6E+02 8 0.76 1940.63 57 AFH 83 47 0 0 5.4E+02 7 1 1922.85 58 AFG 85 48 0 0 3E+02 0 0 1730.11 58 FOUND SOLUTION: 1730.11 (NLP) in 9 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 85 48 0 0 87 7 0.13 1783.92 60 AFG 87 49 0 0 3.5E+02 0 2.2E-11 1741.39 60 FOUND SOLUTION: 1741.39 (NLP) in 10 sec. 61 AFH 87 49 0 0 1.1 5 0.00012 1741.44 62 AFH 88 50 0 0 0.49 5 9.9E-05 1741.43 63 AFH 89 51 0 0 0.35 5 3E-05 1741.41 64 AFH 90 52 0 0 0.16 6 2.9E-05 1741.41 65 AFH 91 53 0 0 0.25 6 2.5E-05 1741.4 66 AFH 92 54 0 0 0.17 6 1.9E-05 1741.4 67 AFH 93 55 0 0 0.11 7 1.6E-05 1741.4 68 AFH 94 56 0 0 0.16 7 7.4E-06 1741.4 69 AFH 95 57 0 0 0.0015 6 7.4E-06 1741.39 70 AFH 96 58 0 0 0.12 6 6.1E-06 1741.39 71 AFH 97 59 0 0 0.087 6 4.9E-06 1741.39 72 AFH 98 60 0 0 0.057 6 8E-06 1741.39 73 AFH 99 61 0 0 0.086 5 4E-06 1741.39 74 AFH 100 62 0 0 0.081 5 3.9E-06 1741.39 75 AFH 101 63 0 0 0.082 5 2E-06 1741.39 76 AFH 102 64 0 0 0.043 4 1.8E-06 1741.39 77 AFH 103 65 0 0 0.063 3 1.8E-06 1741.39 78 AFH 104 66 0 0 0.04 2 1.5E-06 1741.39 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 105 67 0 0 0.043 1 1E-06 1741.39 80 AFJ 106 68 0 0 0.041 0 5E-07 1741.39 80 FOUND SOLUTION: 1741.39 in 30 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.27_RSyn0810M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1741.3868554187406517 Max constraint (12) : 2.1668888905423955293e-11 Alternative solution : MIP Alt. objective value : 1741.3873554418216827 Max constraint (11) : 4.9802052304315225228e-07 Time used (seconds) : 29.57 Time limit (seconds) : 7200 Iterations used : 80 Iteration limit : -1 Function evaluations : 1356 Gradient evaluations : 106 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 2.9 % MIP time usage : 97.1 % Optimal/total MIPs : 26/80 NLP solver calls : 81 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M02M.gms(1916) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M02M.gms Stop 09/14/12 14:38:04 elapsed 0:00:29.621 @04 1347626284 ----------------------------- Fr 14. Sep 14:38:04 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M03H.gms =========== ----------------------------- Fr 14. Sep 14:37:34 CEST 2012 ----------------------------- @03 1347626254 --- Job RSyn0810M03H.gms Start 09/14/12 14:37:34 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M03H.gms(4303) 3 Mb --- Starting execution: elapsed 0:00:00.017 --- RSyn0810M03H.gms(4301) 3 Mb --- Generating MINLP model m --- RSyn0810M03H.gms(4303) 6 Mb --- 1,936 rows 1,186 columns 4,669 non-zeroes --- 300 nl-code 54 nl-non-zeroes --- 252 discrete-columns --- RSyn0810M03H.gms(4303) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.027 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.28_RSyn0810M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4669 elements of which 1% are non-linear(NL) included in 1936 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 54 from a total of 1186 variables: Continuous(934), Binary(252), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=287 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1646) infeasibile 0 H 0 0 0 1 0 18 0.11 NA 1 SAFG 18 1 0 1 2.6E+03 0 2.2E-16 1053.69 1 FOUND SOLUTION: 1053.69 (NLP) in 1 sec. 2 SAFH 18 1 0 1 1.2E+03 8 3.7 3417.93 3 SAFH 21 2 0 1 4.8E+02 8 2.2 3165.41 4 SAFH 29 3 0 1 9.2E+02 8 0.71 1782.09 5 SAFH 32 4 0 1 2.2E+02 7 0.43 1315.84 6 SAFH 36 5 0 1 2.7E+02 7 0.094 1122.99 7 SAFH 40 6 0 1 1.3E+02 7 0.079 1090.34 8 SAFH 41 7 0 1 2.1 7 0.027 1073.52 9 SAFH 46 8 0 1 77 7 0.012 1056.56 10 SAFH 48 9 0 1 12 7 0.0037 1055.55 11 SAFH 51 10 0 1 27 7 0.0018 1054.23 12 SAFH 52 11 0 1 5.2 6 0.0009 1054.17 13 SAFH 53 12 0 1 7.4 6 0.0008 1054.14 14 SAFH 54 13 0 1 5.9 6 0.00068 1054.08 15 SAFH 55 14 0 1 0.19 6 0.00044 1053.88 16 SAFH 56 15 0 1 2.5 7 0.00023 1053.85 17 SAFH 57 16 0 1 3.8 7 0.0002 1053.84 18 SAFH 58 17 0 1 3 7 0.00019 1053.82 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 59 18 0 1 6 7 0.00017 1053.79 20 SAFH 60 19 0 1 0.093 7 0.00011 1053.75 21 SAFH 61 20 0 1 1.3 7 5.7E-05 1053.74 22 SAFH 62 21 0 1 1.9 7 6.3E-05 1053.73 23 SAFH 63 22 0 1 3.8 7 5.1E-05 1053.72 24 SAFH 64 23 0 1 1.5 7 4.2E-05 1053.72 25 SAFH 65 24 0 1 2.4 7 3.8E-05 1053.71 26 SAFH 66 25 0 1 3.1 7 2.7E-05 1053.7 27 SAFH 67 26 0 1 0.63 7 1.6E-05 1053.7 28 SAFH 68 27 0 1 2.4 7 1.4E-05 1053.7 29 SAFH 69 28 0 1 0.94 7 1.3E-05 1053.7 30 SAFH 70 29 0 1 0.75 7 1.1E-05 1053.69 31 SAFH 71 30 0 1 0.024 6 9.4E-06 1053.69 32 SAFH 72 31 0 1 1.5 6 6.7E-06 1053.69 33 SAFH 73 32 0 1 0.31 6 7.5E-06 1053.69 34 SAFH 74 33 0 1 0.93 5 3.6E-06 1053.69 35 SAFH 75 34 0 1 0.47 4 3.2E-06 1053.69 36 SAFH 76 35 0 1 0.38 3 2.6E-06 1053.69 37 SAFH 77 36 0 1 0.012 2 2.3E-06 1053.69 38 SAFH 78 37 0 1 0.76 1 1.9E-06 1053.69 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 79 38 0 1 0.3 1 1.7E-06 1053.69 40 SAFJL 80 39 0 1 0.16 0 8.9E-07 1053.69 40 FOUND SOLUTION: 1053.69 in 3 sec. 41 SAFG 62 38 0 0.5 3E+03 0 5.6E-17 2668.69 41 FOUND SOLUTION: 2668.69 (NLP) in 3 sec. 42 SAFH 62 38 0 0.5 1.4E+03 10 4.5 6039.55 43 SAFH 65 39 0 0.5 4.8E+02 10 2.6 5787.02 44 SAFG 69 40 0 0.5 1.3E+03 0 5.6E-17 2701.13 44 FOUND SOLUTION: 2701.13 (NLP) in 3 sec. 45 SAFH 69 40 0 0.5 2.3E+02 10 1.3 4224.47 46 SAFH 73 41 0 0.5 82 13 1.3 4155.58 47 SAFH 76 42 0 0.5 1.3E+02 13 0.45 3641.79 48 SAFH 85 43 0 0.5 2.7E+03 13 0.68 3007.21 49 SAFH 88 44 0 0.5 2.7E+03 10 0.13 2859.57 50 SAFH 95 45 0 0.5 81 10 0.07 2759.59 51 SAFH 98 46 0 0.5 43 10 0.027 2732.76 52 SAFH 103 47 0 0.5 34 10 0.017 2713.9 53 SAFH 106 48 0 0.5 12 10 0.0073 2707.69 54 SAFH 112 49 0 0.5 16 10 0.0031 2703.68 55 SAFH 115 50 0 0.5 11 10 0.0013 2702.8 56 SAFH 119 51 0 0.5 8.6 9 0.0011 2702.16 57 SAFH 120 52 0 0.5 0.54 9 0.00078 2701.95 58 SAFH 121 53 0 0.5 2.1 9 0.00056 2701.66 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 122 54 0 0.5 2.1 9 0.00043 2701.62 60 SAFH 123 55 0 0.5 1.2 9 0.00034 2701.5 61 SAFH 124 56 0 0.5 1.7 9 0.00028 2701.43 62 SAFH 125 57 0 0.5 0.72 10 0.00027 2701.4 63 SAFH 126 58 0 0.5 1.1 10 0.00025 2701.35 64 SAFH 127 59 0 0.5 1 10 0.00027 2701.35 65 SAFH 128 60 0 0.5 0.014 9 0.0002 2701.28 66 SAFH 129 61 0 0.5 1 9 0.00014 2701.28 67 SAFH 130 62 0 0.5 1 9 0.00011 2701.26 68 SAFH 131 63 0 0.5 0.6 9 0.0001 2701.26 69 SAFH 132 64 0 0.5 0.0064 8 8.5E-05 2701.24 70 SAFH 133 65 0 0.5 0.58 9 6.8E-05 2701.22 71 SAFH 134 66 0 0.5 0.36 9 0.00011 2701.21 72 SAFH 135 67 0 0.5 0.53 9 6.7E-05 2701.21 73 SAFH 136 68 0 0.5 0.53 9 6.3E-05 2701.18 74 SAFH 137 69 0 0.5 0.53 10 4.9E-05 2701.18 75 SAFH 138 70 0 0.5 0.52 10 3.5E-05 2701.18 76 SAFH 139 71 0 0.5 0.5 10 2.8E-05 2701.17 77 SAFH 140 72 0 0.5 0.0015 9 2.7E-05 2701.16 78 SAFH 141 73 0 0.5 0.19 9 2.7E-05 2701.16 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 142 74 0 0.5 0.3 9 2.6E-05 2701.16 80 SAFH 143 75 0 0.5 0.27 9 2.1E-05 2701.16 81 SAFH 144 76 0 0.5 0.43 9 1.7E-05 2701.15 82 SAFH 145 77 0 0.5 0.083 8 1.7E-05 2701.15 83 SAFH 146 78 0 0.5 0.26 8 1.6E-05 2701.14 84 SAFH 147 79 0 0.5 0.26 9 1.2E-05 2701.14 85 SAFH 148 80 0 0.5 0.26 9 8.6E-06 2701.14 86 SAFH 149 81 0 0.5 0.25 9 7.1E-06 2701.14 87 SAFH 150 82 0 0.5 0.13 8 6.8E-06 2701.14 88 SAFH 151 83 0 0.5 0.13 8 6.7E-06 2701.13 89 SAFH 152 84 0 0.5 0.15 8 5.3E-06 2701.13 90 SAFH 153 85 0 0.5 0.21 7 4.2E-06 2701.13 91 SAFH 154 86 0 0.5 0.13 7 3.1E-06 2701.13 92 SAFH 155 87 0 0.5 0.13 6 2.2E-06 2701.13 93 SAFH 156 88 0 0.5 0.13 5 1.8E-06 2701.13 94 SAFH 157 89 0 0.5 0.065 5 2.1E-06 2701.13 95 SAFH 158 90 0 0.5 0.096 4 1.7E-06 2701.13 96 SAFH 159 91 0 0.5 0.067 4 1.9E-06 2701.13 97 SAFH 160 92 0 0.5 0.059 3 1.7E-06 2701.13 98 SAFH 161 93 0 0.5 0.076 2 1.3E-06 2701.13 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 162 94 0 0.5 0.11 2 2.1E-06 2701.13 100 SAFH 163 95 0 0.5 0.082 1 1E-06 2701.13 101 SAFJ 164 96 0 0.5 0.066 0 7.7E-07 2701.13 101 FOUND SOLUTION: 2701.13 in 8 sec. 102 SAFJ 164 96 0 0.3 0 0 7.7E-07 2701.13 103 SAFJ 164 96 0 0.2 0 0 7.7E-07 2701.13 104 SAFJ 164 96 0 0.1 0 0 7.7E-07 2701.13 105 AFH 164 96 0 0 1.7E+03 12 0.12 2753.64 106 AFG 167 97 0 0 1.5E+03 0 7.8E-12 2722.45 106 FOUND SOLUTION: 2722.45 (NLP) in 8 sec. 107 AFH 167 97 0 0 11 6 0.016 2722.53 108 AFH 169 98 0 0 4.9 6 0.0039 2722.52 109 AFH 171 99 0 0 2.6 6 0.00088 2722.52 110 AFH 172 100 0 0 1.2 6 0.00026 2722.52 111 AFH 173 101 0 0 0.78 6 0.00019 2722.52 112 AFH 174 102 0 0 1 6 6.6E-05 2722.48 113 AFH 175 103 0 0 0.4 5 4.9E-05 2722.48 114 AFH 176 104 0 0 0.51 5 3E-05 2722.46 115 AFH 177 105 0 0 0.26 6 2.7E-05 2722.46 116 AFH 178 106 0 0 0.29 6 1.7E-05 2722.46 117 AFH 179 107 0 0 0.2 7 1.2E-05 2722.46 118 AFH 180 108 0 0 0.25 7 7.4E-06 2722.46 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 181 109 0 0 0.0023 6 6.7E-06 2722.46 120 AFH 182 110 0 0 0.14 6 4.2E-06 2722.46 121 AFH 183 111 0 0 0.1 6 8.6E-06 2722.45 122 AFH 184 112 0 0 0.12 5 4.2E-06 2722.45 123 AFH 185 113 0 0 0.13 5 3.9E-06 2722.45 124 AFH 186 114 0 0 0.13 5 3E-06 2722.45 125 AFH 187 115 0 0 0.13 4 2.1E-06 2722.45 126 AFH 188 116 0 0 0.061 3 1.8E-06 2722.45 127 AFH 189 117 0 0 0.064 2 1.7E-06 2722.45 128 AFH 190 118 0 0 0.071 1 1E-06 2722.45 129 AFJ 191 119 0 0 0.065 0 7.6E-07 2722.45 129 FOUND SOLUTION: 2722.45 in 12 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.28_RSyn0810M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2722.449378016544415 Max constraint (10) : 7.8433449342552027001e-12 Alternative solution : MIP Alt. objective value : 2722.4503784899056882 Max constraint (11) : 7.6083291877436182298e-07 Time used (seconds) : 11.50 Time limit (seconds) : 7200 Iterations used : 129 Iteration limit : -1 Function evaluations : 4752 Gradient evaluations : 209 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 32.6 % MIP time usage : 67.2 % Optimal/total MIPs : 25/129 NLP solver calls : 130 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M03H.gms(4303) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M03H.gms Stop 09/14/12 14:37:46 elapsed 0:00:11.553 @04 1347626266 ----------------------------- Fr 14. Sep 14:37:46 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M03M.gms =========== ----------------------------- Fr 14. Sep 14:37:35 CEST 2012 ----------------------------- @03 1347626255 --- Job RSyn0810M03M.gms Start 09/14/12 14:37:35 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M03M.gms(3182) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- RSyn0810M03M.gms(3180) 3 Mb --- Generating MINLP model m --- RSyn0810M03M.gms(3182) 6 Mb --- 1,453 rows 616 columns 3,638 non-zeroes --- 120 nl-code 18 nl-non-zeroes --- 252 discrete-columns --- RSyn0810M03M.gms(3182) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.29_RSyn0810M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3638 elements of which 0% are non-linear(NL) included in 1453 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 616 variables: Continuous(364), Binary(252), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=182 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 2.4E+03 0 2.2E-16 1979.66 1 FOUND SOLUTION: 1979.66 (NLP) in 1 sec. 2 SAFH 0 0 0 1 9.9E+02 12 4.5 7737.46 3 SAFG 3 1 0 1 1E+03 0 3.1E-11 2012.78 3 FOUND SOLUTION: 2012.78 (NLP) in 1 sec. 4 SAFH 3 1 0 1 6.8E+02 12 2.6 7493.52 5 SAFG 12 2 0 1 1.3E+03 0 2.2E-16 2365.51 5 FOUND SOLUTION: 2365.51 (NLP) in 1 sec. 6 SAFH 12 2 0 1 7.8E+02 10 3.7 5633.76 7 SAFH 15 3 0 1 8.7E+02 10 2.2 4736.97 8 SAFH 21 4 0 1 1.3E+03 10 2.5 4802.89 9 SAFH 24 5 0 1 2.6E+02 13 1.2 3924.82 10 SAFH 30 6 0 1 8.1E+02 13 1 3669.03 11 SAFH 34 7 0 1 1.4E+03 13 0.45 2884.35 12 SAFG 40 8 0 1 9.3E+02 0 5.2E-12 2624.46 12 FOUND SOLUTION: 2624.46 (NLP) in 2 sec. 13 SAFH 40 8 0 1 1.7E+02 13 0.2 2941.34 14 SAFH 46 9 0 1 1.1E+03 13 0.091 2128.28 15 SAFH 56 10 0 1 2.3E+02 13 0.037 2067.55 16 SAFG 63 11 0 1 5.9E+02 0 1.4E-10 2668.62 16 FOUND SOLUTION: 2668.62 (NLP) in 2 sec. 17 SAFH 63 11 0 1 23 13 0.017 2688.5 18 SAFG 69 12 0 1 37 0 1.7E-12 2677.28 18 FOUND SOLUTION: 2677.28 (NLP) in 3 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 69 12 0 1 18 11 0.0073 2683.89 20 SAFH 75 13 0 1 5.7E+02 11 0.0022 2012.03 21 SAFH 81 14 0 1 5.7E+02 11 0.0011 2678.6 22 SAFH 83 15 0 1 5.6E+02 11 0.00056 2010.23 23 SAFH 84 16 0 1 5.6E+02 11 0.00052 2677.96 24 SAFH 85 17 0 1 5.6E+02 11 0.00043 2010.07 25 SAFH 86 18 0 1 0.77 11 0.00034 2009.95 26 SAFH 87 19 0 1 1.2 11 0.00033 2009.88 27 SAFH 88 20 0 1 5.9E+02 10 0.00031 2638.92 28 SAFH 89 21 0 1 38 10 0.0003 2668.88 29 SAFH 90 22 0 1 0.75 10 0.00025 2668.88 30 SAFH 91 23 0 1 5.6E+02 10 0.00027 2009.75 31 SAFH 92 24 0 1 0.0096 9 0.00014 2009.69 32 SAFH 93 25 0 1 0.69 9 0.00013 2009.67 33 SAFH 94 26 0 1 0.56 9 0.00011 2009.62 34 SAFH 95 27 0 1 0.38 9 0.0001 2009.62 35 SAFH 96 28 0 1 0.0044 8 8.5E-05 2009.6 36 SAFG 97 29 0 1 7E+02 0 2.2E-16 2700.12 36 FOUND SOLUTION: 2700.12 (NLP) in 5 sec. 37 SAFH 97 29 0 1 0.82 9 7.8E-05 2700.19 38 SAFH 98 30 0 1 7E+02 9 0.00011 2009.57 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFG 99 31 0 1 7.5E+02 0 4.4E-16 2703.69 39 FOUND SOLUTION: 2703.69 (NLP) in 5 sec. 40 SAFH 99 31 0 1 0.73 9 7.6E-05 2703.75 41 SAFH 100 32 0 1 2.6E+02 9 6.3E-05 2647.34 42 SAFH 101 33 0 1 5.9E+02 10 3.6E-05 2009.56 43 SAFH 102 34 0 1 7.5E+02 10 3.2E-05 2703.73 44 SAFH 103 35 0 1 0.28 10 2.8E-05 2703.72 45 SAFH 104 36 0 1 0.001 9 2.8E-05 2703.72 46 SAFH 105 37 0 1 7.5E+02 9 2.7E-05 2009.54 47 SAFH 106 38 0 1 5.9E+02 9 2.6E-05 2647.31 48 SAFH 107 39 0 1 2.3E+02 9 2.1E-05 2702.11 49 SAFH 108 40 0 1 8E+02 9 2E-05 2009.53 50 SAFH 109 41 0 1 7.2E+02 8 1.9E-05 2612.06 51 SAFH 110 42 0 1 7.2E+02 8 1.6E-05 2009.52 52 SAFH 111 43 0 1 0.17 9 8.9E-06 2009.52 53 SAFH 112 44 0 1 0.17 9 8.1E-06 2009.52 54 SAFH 113 45 0 1 0.14 9 7.1E-06 2009.52 55 SAFH 114 46 0 1 0.087 8 7E-06 2009.52 56 SAFG 115 47 0 1 7.9E+02 0 2.2E-16 2709.45 56 FOUND SOLUTION: 2709.45 (NLP) in 7 sec. 57 SAFH 115 47 0 1 0.45 8 3.2E-05 2709.48 58 SAFH 116 48 0 1 7.9E+02 9 6.7E-06 2009.52 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 117 49 0 1 0.097 9 5.3E-06 2009.52 60 SAFH 118 50 0 1 0.14 8 4.8E-06 2009.52 61 SAFH 119 51 0 1 0.096 8 2.2E-06 2009.52 62 SAFH 120 52 0 1 0.086 7 2E-06 2009.52 63 SAFH 121 53 0 1 0.07 6 1.8E-06 2009.51 64 SAFH 122 54 0 1 2.5E+02 9 0.16 1829.62 65 SAFH 125 55 0 1 1E+03 6 2.1E-06 2703.69 66 SAFH 126 56 0 1 7.5E+02 5 1.7E-06 2009.51 67 SAFH 127 57 0 1 0.043 4 3.4E-06 2009.51 68 SAFH 128 58 0 1 0.05 3 1.7E-06 2009.51 69 SAFH 129 59 0 1 7.2E+02 2 1.3E-06 2612.05 70 SAFH 130 60 0 1 7.2E+02 2 2.1E-06 2009.51 71 SAFH 131 61 0 1 7.2E+02 1 1.2E-06 2612.05 72 SAFJ 132 62 0 1 7.2E+02 0 8.4E-07 2009.51 73 SAFJ 132 62 0 0.5 7.5E+02 0 8.4E-07 2703.69 74 SAFJ 132 62 0 0.3 0 0 8.4E-07 2703.69 75 SAFJ 132 62 0 0.2 0 0 8.4E-07 2703.69 76 SAFJ 132 62 0 0.1 0 0 8.4E-07 2703.69 77 AFG 132 62 0 0 67 0 0 2722.45 77 FOUND SOLUTION: 2722.45 (NLP) in 11 sec. 78 AFH 132 62 0 0 0.58 5 3E-05 2722.46 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 133 63 0 0 0.16 6 2.7E-05 2722.46 80 AFH 134 64 0 0 0.18 6 1.9E-05 2722.46 81 AFH 135 65 0 0 0.11 7 8E-06 2722.46 82 AFH 136 66 0 0 0.13 7 7.4E-06 2722.46 83 AFH 137 67 0 0 0.0015 6 6.7E-06 2722.46 84 AFH 138 68 0 0 0.09 6 4.9E-06 2722.45 85 AFH 139 69 0 0 0.057 6 8E-06 2722.45 86 AFH 140 70 0 0 0.086 5 4.8E-06 2722.45 87 AFH 141 71 0 0 0.088 5 3.9E-06 2722.45 88 AFH 142 72 0 0 0.082 5 2E-06 2722.45 89 AFH 143 73 0 0 0.065 4 2E-06 2722.45 90 AFH 144 74 0 0 0.043 3 1.8E-06 2722.45 91 AFH 145 75 0 0 0.04 2 1.7E-06 2722.45 92 AFH 146 76 0 0 0.045 1 1.2E-06 2722.45 93 AFJ 147 77 0 0 0.044 0 5.6E-07 2722.45 93 FOUND SOLUTION: 2722.45 in 36 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.29_RSyn0810M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2722.4480058277226817 Max constraint (4) : 0 Alternative solution : MIP Alt. objective value : 2722.4489536619371393 Max constraint (12) : 5.5727045555897802842e-07 Time used (seconds) : 35.59 Time limit (seconds) : 7200 Iterations used : 93 Iteration limit : -1 Function evaluations : 2106 Gradient evaluations : 147 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 4.1 % MIP time usage : 95.9 % Optimal/total MIPs : 17/93 NLP solver calls : 94 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M03M.gms(3182) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M03M.gms Stop 09/14/12 14:38:11 elapsed 0:00:35.645 @04 1347626291 ----------------------------- Fr 14. Sep 14:38:11 CEST 2012 ----------------------------- =ready= Linux opt207 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M04H.gms =========== ----------------------------- Fr 14. Sep 14:37:35 CEST 2012 ----------------------------- @03 1347626255 --- Job RSyn0810M04H.gms Start 09/14/12 14:37:35 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M04H.gms(6167) 3 Mb --- Starting execution: elapsed 0:00:00.021 --- RSyn0810M04H.gms(6165) 3 Mb --- Generating MINLP model m --- RSyn0810M04H.gms(6167) 6 Mb --- 2,785 rows 1,581 columns 6,701 non-zeroes --- 400 nl-code 72 nl-non-zeroes --- 336 discrete-columns --- RSyn0810M04H.gms(6167) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.034 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.30_RSyn0810M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 6701 elements of which 1% are non-linear(NL) included in 2785 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 72 from a total of 1581 variables: Continuous(1245), Binary(336), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=403 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (2338) infeasibile 0 H 0 0 0 1 0 24 0.11 NA 1 SAFG 24 1 0 1 3.8E+03 0 2.2E-16 3148.64 1 FOUND SOLUTION: 3148.64 (NLP) in 1 sec. 2 SAFH 24 1 0 1 1.7E+03 13 3.7 6742.53 3 SAFH 28 2 0 1 4.9E+02 12 2.2 6633.91 4 SAFH 40 3 0 1 1.1E+03 13 2.5 5098.84 5 SAFH 43 4 0 1 51 14 0.87 4574.67 6 SAFH 50 5 0 1 2.9E+02 15 0.91 3843.27 7 SAFH 53 6 0 1 2.1E+02 15 0.89 3610.39 8 SAFH 54 7 0 1 13 15 0.35 3458.21 9 SAFH 58 8 0 1 18 12 0.47 3293.91 10 SAFH 59 9 0 1 8.6 12 0.16 3266.32 11 SAFH 63 10 0 1 80 12 0.083 3231.15 12 SAFH 68 11 0 1 50 12 0.096 3205.87 13 SAFH 70 12 0 1 6.6 12 0.027 3180.98 14 SAFH 76 13 0 1 8.7 12 0.013 3162 15 SAFH 80 14 0 1 19 11 0.0058 3156.87 16 SAFH 84 15 0 1 2.6 12 0.0033 3151.89 17 SAFH 90 16 0 1 12 12 0.005 3150.2 18 SAFH 91 17 0 1 0.91 12 0.0017 3149.75 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 93 18 0 1 20 12 0.00068 3149.27 20 SAFH 94 19 0 1 5.1 12 0.0006 3149.21 21 SAFH 95 20 0 1 0.25 12 0.00048 3149.07 22 SAFH 96 21 0 1 0.24 11 0.00044 3149.05 23 SAFH 97 22 0 1 0.15 12 0.00043 3149.01 24 SAFH 98 23 0 1 0.24 12 0.0003 3148.88 25 SAFH 99 24 0 1 0.21 11 0.00017 3148.87 26 SAFH 100 25 0 1 2.5 11 0.00019 3148.87 27 SAFH 101 26 0 1 5 11 0.00015 3148.82 28 SAFH 102 27 0 1 0.25 10 0.00014 3148.8 29 SAFH 103 28 0 1 0.14 11 0.00012 3148.77 30 SAFH 104 29 0 1 0.00025 10 0.00012 3148.73 31 SAFH 105 30 0 1 0.12 11 0.00011 3148.73 32 SAFH 106 31 0 1 0.035 11 0.00011 3148.7 33 SAFH 107 32 0 1 0.15 11 7.6E-05 3148.69 34 SAFH 108 33 0 1 0.11 12 4.2E-05 3148.68 35 SAFH 109 34 0 1 1.2 12 3.5E-05 3148.68 36 SAFH 110 35 0 1 0.072 12 2.7E-05 3148.68 37 SAFH 111 36 0 1 0.038 12 2.7E-05 3148.67 38 SAFH 112 37 0 1 0.074 12 1.9E-05 3148.67 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 113 38 0 1 0.088 11 1.9E-05 3148.66 40 SAFH 114 39 0 1 0.054 10 1.7E-05 3148.66 41 SAFH 115 40 0 1 0.083 11 1.7E-05 3148.66 42 SAFH 116 41 0 1 0.076 11 1.4E-05 3148.66 43 SAFH 117 42 0 1 0.068 10 1.1E-05 3148.65 44 SAFH 118 43 0 1 0.62 10 6.8E-06 3148.65 45 SAFH 119 44 0 1 0.046 11 6E-06 3148.65 46 SAFH 120 45 0 1 1.6 11 6E-06 3148.65 47 SAFH 121 46 0 1 0.47 10 6E-06 3148.65 48 SAFH 122 47 0 1 2.4E-05 9 4.4E-06 3148.65 49 SAFH 123 48 0 1 0.025 8 5.5E-06 3148.65 50 SAFH 124 49 0 1 0.049 7 4.3E-06 3148.65 51 SAFH 125 50 0 1 0.03 8 3.4E-06 3148.65 52 SAFH 126 51 0 1 0.022 7 6.7E-06 3148.64 53 SAFH 127 52 0 1 0.037 6 1.7E-06 3148.64 54 SAFH 128 53 0 1 0.0094 5 1.7E-06 3148.64 55 SAFH 129 54 0 1 0.018 4 1.5E-06 3148.64 56 SAFH 130 55 0 1 0.24 3 1.5E-06 3148.64 57 SAFH 131 56 0 1 0.015 1 1.4E-06 3148.64 58 SAFH 132 57 0 1 0.024 1 1.4E-06 3148.64 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFJL 133 58 0 1 0.015 0 4.6E-07 3148.64 59 FOUND SOLUTION: 3148.64 in 6 sec. 60 SAFG 109 57 0 0.5 3.7E+03 0 5.6E-17 5932.97 60 FOUND SOLUTION: 5932.97 (NLP) in 6 sec. 61 SAFH 109 57 0 0.5 1.8E+03 16 4.5 9508.51 62 SAFH 113 58 0 0.5 6.4E+02 16 2.6 9368.33 63 SAFG 119 59 0 0.5 1.5E+03 0 1.7E-16 5985.77 63 FOUND SOLUTION: 5985.77 (NLP) in 7 sec. 64 SAFH 119 59 0 0.5 1.8E+02 16 1.3 6976.07 65 SAFH 122 60 0 0.5 1.4E+02 17 1.3 6773.67 66 SAFH 123 61 0 0.5 41 17 0.45 6582.28 67 SAFG 129 62 0 0.5 3.5E+03 0 2.2E-16 6477.08 67 FOUND SOLUTION: 6477.08 (NLP) in 7 sec. 68 SAFH 129 62 0 0.5 4.1E+02 17 0.68 7244.19 69 SAFH 133 63 0 0.5 1.3E+03 17 0.13 6555.96 70 SAFH 137 64 0 0.5 68 17 0.07 6464.24 71 SAFH 139 65 0 0.5 26 17 0.034 6444.94 72 SAFH 145 66 0 0.5 36 17 0.018 6421.49 73 SAFH 149 67 0 0.5 21 17 0.0077 6412.65 74 SAFH 157 68 0 0.5 21 15 0.0039 6404.8 75 SAFH 161 69 0 0.5 7.5 15 0.0019 6403.15 76 SAFH 169 70 0 0.5 13 13 0.00099 6401.25 77 SAFH 170 71 0 0.5 0.65 13 0.00087 6401 78 SAFH 171 72 0 0.5 1.4 13 0.00086 6400.86 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 172 73 0 0.5 2.3 13 0.00082 6400.74 80 SAFH 173 74 0 0.5 1.2 13 0.00054 6400.69 81 SAFH 174 75 0 0.5 0.0011 12 0.00048 6400.46 82 SAFH 175 76 0 0.5 1.8 12 0.00044 6400.35 83 SAFH 176 77 0 0.5 1.4 12 0.00042 6400.33 84 SAFH 177 78 0 0.5 1.1 12 0.00031 6400.27 85 SAFH 178 79 0 0.5 1.1 12 0.00031 6400.25 86 SAFH 179 80 0 0.5 0.019 11 0.00029 6400.18 87 SAFH 180 81 0 0.5 1.6 11 0.00022 6400.09 88 SAFH 181 82 0 0.5 0.69 11 0.00021 6400.07 89 SAFH 182 83 0 0.5 1 12 0.00021 6400.03 90 SAFH 183 84 0 0.5 0.6 12 0.00014 6400.01 91 SAFH 184 85 0 0.5 0.55 11 0.00012 6399.99 92 SAFH 185 86 0 0.5 0.92 11 0.00011 6399.95 93 SAFH 186 87 0 0.5 0.7 11 0.00011 6399.95 94 SAFH 187 88 0 0.5 1.1 11 0.0001 6399.92 95 SAFH 188 89 0 0.5 0.54 11 9.5E-05 6399.89 96 SAFH 189 90 0 0.5 0.47 11 7.8E-05 6399.88 97 SAFH 190 91 0 0.5 0.55 11 7.7E-05 6399.87 98 SAFH 191 92 0 0.5 0.12 11 7.2E-05 6399.85 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 192 93 0 0.5 0.8 11 5.4E-05 6399.84 100 SAFH 193 94 0 0.5 0.57 11 3.4E-05 6399.83 101 SAFH 194 95 0 0.5 0.27 12 3E-05 6399.83 102 SAFH 195 96 0 0.5 0.46 12 2.7E-05 6399.82 103 SAFH 196 97 0 0.5 0.54 12 2.6E-05 6399.81 104 SAFH 197 98 0 0.5 0.27 12 2.4E-05 6399.81 105 SAFH 198 99 0 0.5 0.24 12 2.3E-05 6399.81 106 SAFH 199 100 0 0.5 0.23 11 1.9E-05 6399.81 107 SAFH 200 101 0 0.5 0.27 11 1.8E-05 6399.8 108 SAFH 201 102 0 0.5 0.4 11 1.4E-05 6399.8 109 SAFH 202 103 0 0.5 0.0009 10 1.3E-05 6399.8 110 SAFH 203 104 0 0.5 0.22 11 8.4E-06 6399.79 111 SAFH 204 105 0 0.5 0.14 11 7.6E-06 6399.79 112 SAFH 205 106 0 0.5 0.23 11 6.7E-06 6399.79 113 SAFH 206 107 0 0.5 0.27 10 6.5E-06 6399.79 114 SAFH 207 108 0 0.5 0.14 10 5.8E-06 6399.79 115 SAFH 208 109 0 0.5 0.11 11 4.9E-06 6399.79 116 SAFH 209 110 0 0.5 0.14 11 4.5E-06 6399.79 117 SAFH 210 111 0 0.5 0.2 11 3.6E-06 6399.78 118 SAFH 211 112 0 0.5 0.062 10 3.3E-06 6399.78 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 212 113 0 0.5 0.14 9 2.1E-06 6399.78 120 SAFH 213 114 0 0.5 0.069 8 4E-06 6399.78 121 SAFH 214 115 0 0.5 0.082 7 1.9E-06 6399.78 122 SAFH 215 116 0 0.5 0.12 6 1.7E-06 6399.78 123 SAFH 216 117 0 0.5 0.13 6 2.9E-06 6399.78 124 SAFH 217 118 0 0.5 0.12 5 1.6E-06 6399.78 125 SAFH 218 119 0 0.5 0.068 4 1.5E-06 6399.78 126 SAFH 219 120 0 0.5 0.057 2 1.2E-06 6399.78 127 SAFH 220 121 0 0.5 0.068 1 1.1E-06 6399.78 128 SAFJ 221 122 0 0.5 0.1 0 9.9E-07 6399.78 129 SAFJ 221 122 0 0.3 0 0 9.9E-07 6399.78 130 SAFJ 221 122 0 0.2 0 0 9.9E-07 6399.78 131 SAFJ 221 122 0 0.1 0 0 9.9E-07 6399.78 132 AFG 221 122 0 0 1.8E+03 0 4.4E-16 6581.94 132 FOUND SOLUTION: 6581.94 (NLP) in 13 sec. 133 AFH 221 122 0 0 3.2E+02 15 0.12 6589.78 134 AFH 222 123 0 0 1.7E+02 15 0.035 6586.13 135 AFH 223 124 0 0 1E+02 15 0.0096 6583.81 136 AFH 224 125 0 0 59 15 0.0025 6582.5 137 AFH 225 126 0 0 30 15 0.00061 6582.05 138 AFH 226 127 0 0 15 15 0.00015 6581.99 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 227 128 0 0 7.6 15 3.9E-05 6581.96 140 AFH 228 129 0 0 3.8 15 2.6E-05 6581.96 141 AFH 229 130 0 0 0.26 15 1E-05 6581.95 142 AFH 230 131 0 0 0.21 14 9.7E-06 6581.95 143 AFH 231 132 0 0 1.9 14 7.5E-06 6581.95 144 AFH 232 133 0 0 0.22 14 6.5E-06 6581.95 145 AFH 233 134 0 0 0.13 14 6.2E-06 6581.95 146 AFH 234 135 0 0 0.1 13 6.1E-06 6581.95 147 AFH 235 136 0 0 0.00038 12 5.9E-06 6581.95 148 AFH 236 137 0 0 0.11 12 5.8E-06 6581.94 149 AFH 237 138 0 0 0.14 11 4.7E-06 6581.94 150 AFH 238 139 0 0 0.042 9 4.5E-06 6581.94 151 AFH 239 140 0 0 0.2 9 3.4E-06 6581.94 152 AFH 240 141 0 0 0.00021 8 2.6E-06 6581.94 153 AFH 241 142 0 0 0.11 7 2.4E-06 6581.94 154 AFH 242 143 0 0 0.95 6 1.9E-06 6581.94 155 AFH 243 144 0 0 0.11 5 1.6E-06 6581.94 156 AFH 244 145 0 0 0.066 4 1.6E-06 6581.94 157 AFH 245 146 0 0 0.05 3 1.4E-06 6581.94 158 AFH 246 147 0 0 0.068 3 1.9E-06 6581.94 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 247 148 0 0 0.1 2 1.2E-06 6581.94 160 AFH 248 149 0 0 0.066 1 1.1E-06 6581.94 161 AFJ 249 150 0 0 0.098 0 8.3E-07 6581.94 161 FOUND SOLUTION: 6581.94 in 17 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.30_RSyn0810M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 6581.9371854201817769 Max constraint (5) : 4.440896539392724297e-16 Alternative solution : MIP Alt. objective value : 6581.938560991596205 Max constraint (21) : 8.2617107960204384979e-07 Time used (seconds) : 16.90 Time limit (seconds) : 7200 Iterations used : 161 Iteration limit : -1 Function evaluations : 7512 Gradient evaluations : 273 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 40.2 % MIP time usage : 59.6 % Optimal/total MIPs : 30/161 NLP solver calls : 162 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M04H.gms(6167) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M04H.gms Stop 09/14/12 14:37:52 elapsed 0:00:16.963 @04 1347626272 ----------------------------- Fr 14. Sep 14:37:52 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M04M.gms =========== ----------------------------- Fr 14. Sep 14:37:36 CEST 2012 ----------------------------- @03 1347626256 --- Job RSyn0810M04M.gms Start 09/14/12 14:37:36 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M04M.gms(4661) 3 Mb --- Starting execution: elapsed 0:00:00.018 --- RSyn0810M04M.gms(4659) 3 Mb --- Generating MINLP model m --- RSyn0810M04M.gms(4661) 6 Mb --- 2,141 rows 821 columns 5,323 non-zeroes --- 160 nl-code 24 nl-non-zeroes --- 336 discrete-columns --- RSyn0810M04M.gms(4661) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.028 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.31_RSyn0810M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 5323 elements of which 0% are non-linear(NL) included in 2141 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 24 from a total of 821 variables: Continuous(485), Binary(336), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=263 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 3.9E+03 0 4.9E-14 5897.75 1 FOUND SOLUTION: 5897.75 (NLP) in 1 sec. 2 SAFH 0 0 0 1 1.2E+03 16 4.5 13381.6 3 SAFG 4 1 0 1 1.4E+03 0 8.7E-11 5997.06 3 FOUND SOLUTION: 5997.06 (NLP) in 1 sec. 4 SAFH 4 1 0 1 8.4E+02 16 2.6 13289.2 5 SAFG 16 2 0 1 2.6E+03 0 6.7E-16 6441.39 5 FOUND SOLUTION: 6441.39 (NLP) in 2 sec. 6 SAFH 16 2 0 1 1.2E+03 13 1.3 9439.94 7 SAFH 28 3 0 1 1.8E+03 13 3.7 8895.78 8 SAFH 36 4 0 1 5.8E+02 17 2.2 7952.16 9 SAFH 40 5 0 1 1.5E+03 17 0.45 5204.23 10 SAFG 52 6 0 1 3E+03 0 1.2E-13 6511.42 10 FOUND SOLUTION: 6511.42 (NLP) in 3 sec. 11 SAFH 52 6 0 1 3.4E+02 17 0.51 7024.68 12 SAFH 54 7 0 1 3.7E+02 17 0.2 6822.96 13 SAFH 61 8 0 1 1.1E+03 17 0.14 6489.34 14 SAFH 70 9 0 1 1.9E+03 15 0.14 4615.67 15 SAFH 74 10 0 1 2.4E+03 16 0.037 6380.18 16 SAFH 81 11 0 1 6.2E+02 17 0.065 6427.99 17 SAFH 82 12 0 1 4.2E+02 17 0.019 6297.84 18 SAFH 89 13 0 1 4.2E+02 17 0.0085 6493.09 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 96 14 0 1 1.9E+03 14 0.0041 4817.91 20 SAFH 101 15 0 1 1.8E+03 16 0.0034 6421.54 21 SAFH 104 16 0 1 1.3E+03 15 0.0016 4960.5 22 SAFH 108 17 0 1 1.3E+03 16 0.001 6419.76 23 SAFH 109 18 0 1 2.7E+03 12 0.00099 4489.36 24 SAFH 110 19 0 1 1.9E+03 16 0.00086 5039.34 25 SAFH 111 20 0 1 4.8E+02 15 0.00082 4959.37 26 SAFH 112 21 0 1 5.2E+02 17 0.0012 5030.96 27 SAFH 113 22 0 1 9E+02 16 0.00074 6476.86 28 SAFH 114 23 0 1 2.8E+03 12 0.00052 4488.87 29 SAFH 115 24 0 1 2.4E+03 15 0.00048 6344.3 30 SAFH 116 25 0 1 2.4E+03 12 0.00045 4488.6 31 SAFH 117 26 0 1 1.5E+03 14 0.00042 4958.83 32 SAFH 118 27 0 1 8.9E+02 14 0.0004 6338.45 33 SAFH 119 28 0 1 5.9E+02 14 0.00039 6411.02 34 SAFH 120 29 0 1 1.2E+02 15 0.00027 6483.7 35 SAFH 121 30 0 1 6.9 15 0.00021 6483.66 36 SAFH 122 31 0 1 0.38 14 0.00018 6483.63 37 SAFH 123 32 0 1 2.8E+03 10 0.00013 4488.14 38 SAFH 124 33 0 1 0.57 10 0.00012 4488.09 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 125 34 0 1 1E+03 12 0.00017 4812.64 40 SAFH 126 35 0 1 1.8E+03 13 0.00011 6482.45 41 SAFH 127 36 0 1 1.4E+02 14 0.0001 6483.49 42 SAFH 128 37 0 1 2.8E+02 16 0.015 6346.8 43 SAFH 129 38 0 1 2.7E+02 16 0.00033 6475.25 44 SAFH 130 39 0 1 0.79 17 0.00029 6475.25 45 SAFH 131 40 0 1 1.9E+03 12 9.9E-05 4812.57 46 SAFH 132 41 0 1 1E+03 11 9.8E-05 4488.02 47 SAFH 133 42 0 1 1.9E+03 15 8.3E-05 5037.18 48 SAFH 134 43 0 1 4.9E+02 12 5.9E-05 4958.35 49 SAFH 135 44 0 1 0.0024 11 5.8E-05 4958.33 50 SAFH 136 45 0 1 1.5E+03 10 5.2E-05 4487.99 51 SAFH 137 46 0 1 1.5E+03 12 4.6E-05 4958.33 52 SAFH 138 47 0 1 39 16 0.00014 4951.74 53 SAFH 139 48 0 1 4.9E+02 16 7.2E-05 5036.88 54 SAFH 140 49 0 1 1.9E+03 10 3.4E-05 4486.78 55 SAFH 141 50 0 1 2.7E+03 16 6.6E-05 6442.71 56 SAFH 142 51 0 1 1.8E+03 15 3.3E-05 4807.25 57 SAFH 143 52 0 1 0.35 15 3E-05 4807.25 58 SAFH 144 53 0 1 1.8E+03 16 0.0039 6378.01 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 146 54 0 1 2.6E+03 11 2.9E-05 4494.99 60 SAFH 147 55 0 1 1.5E+03 12 3.3E-05 4958.3 61 SAFH 148 56 0 1 1.4E+03 12 2.6E-05 6483.34 62 SAFH 149 57 0 1 1.4E+03 13 2.5E-05 4957.26 63 SAFH 150 58 0 1 0.19 13 2.1E-05 4957.26 64 SAFH 151 59 0 1 0.19 14 1.8E-05 4957.26 65 SAFH 152 60 0 1 1.5E+03 11 2.5E-05 4486.75 66 SAFH 153 61 0 1 1.9E+03 13 1.7E-05 5038.1 67 SAFH 154 62 0 1 8.8E+02 13 1.4E-05 6483.33 68 SAFH 155 63 0 1 0.14 13 1.3E-05 6483.33 69 SAFH 156 64 0 1 0.042 12 1.2E-05 6483.32 70 SAFH 157 65 0 1 3.2E+02 16 4.2E-05 6254.11 71 SAFH 158 66 0 1 0.24 16 2.6E-05 6254.11 72 SAFH 159 67 0 1 4E+02 15 0.0022 6358.54 73 SAFH 160 68 0 1 3.5E+02 14 0.00099 6161.87 74 SAFH 161 69 0 1 7.7E+02 16 2.5E-05 5030.65 75 SAFH 162 70 0 1 9E+02 11 8.4E-06 6480.46 76 SAFH 163 71 0 1 1.3E+03 10 8.2E-06 4958.27 77 SAFH 164 72 0 1 1.2E+03 14 0.00095 6208.43 78 SAFH 165 73 0 1 4.2E+02 16 1.6E-05 6475.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 166 74 0 1 4E+02 14 0.00025 6095.31 80 SAFH 167 75 0 1 1.4E+02 16 1.2E-05 6123.26 81 SAFH 168 76 0 1 3.2E+02 11 7.5E-06 6405.1 82 SAFH 169 77 0 1 2.8E+03 12 7.2E-06 4485.68 83 SAFH 170 78 0 1 1.5E+03 14 1E-05 4952.5 84 SAFH 171 79 0 1 0.12 14 9.7E-06 4952.49 85 SAFH 172 80 0 1 1.1E+03 14 8.3E-06 6255.84 86 SAFH 173 81 0 1 2.5E+03 12 6.5E-06 4486.73 87 SAFH 174 82 0 1 0.092 12 6.1E-06 4486.73 88 SAFH 175 83 0 1 12 13 5.9E-06 4485.68 89 SAFH 176 84 0 1 1.9E+03 13 7.6E-06 5030.63 90 SAFH 177 85 0 1 9.5E+02 11 6.2E-06 4808.26 91 SAFH 178 86 0 1 1.6E+03 13 4.1E-06 6255.84 92 SAFH 179 87 0 1 2.7E+02 13 3.8E-06 6397.65 93 SAFH 180 88 0 1 2.7E+02 12 3E-06 6255.84 94 SAFH 181 89 0 1 0.051 11 2.7E-06 6255.84 95 SAFH 182 90 0 1 1.1E+02 10 6.3E-05 6202.86 96 SAFH 183 91 0 1 1.1E+02 10 2.6E-06 6255.83 97 SAFH 184 92 0 1 0.06 9 2.3E-06 6255.83 98 SAFH 185 93 0 1 9.7E-05 8 2.1E-06 6255.83 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 186 94 0 1 2.5E+03 10 4.4E-06 4493.73 100 SAFH 187 95 0 1 1.9E+03 7 3.3E-06 5037.63 101 SAFH 188 96 0 1 1.9E+03 9 4.5E-06 4485.67 102 SAFH 189 97 0 1 2.5E+03 6 2.1E-06 6255.83 103 SAFH 190 98 0 1 2.8E+02 5 1.9E-06 6305.25 104 SAFH 191 99 0 1 1.8E+03 7 3.6E-06 4807.2 105 SAFH 192 100 0 1 1E+03 8 3E-06 4485.67 106 SAFH 193 101 0 1 2.7E+03 4 1.6E-06 6410.64 107 SAFH 194 102 0 1 86 4 1.7E-06 6475.86 108 SAFH 195 103 0 1 0.056 3 1.6E-06 6475.86 109 SAFH 196 104 0 1 1.2E+02 8 6.5E-06 6418.1 110 SAFH 197 105 0 1 2.8E+03 5 2.1E-06 4486.73 111 SAFH 198 106 0 1 2.7E+03 2 1.5E-06 6410.64 112 SAFH 199 107 0 1 1.9E+02 2 1.6E-05 6422.87 113 SAFH 200 108 0 1 2.7E+03 5 1.9E-06 4485.67 114 SAFH 201 109 0 1 0.062 4 1.5E-06 4485.67 115 SAFH 202 110 0 1 1.9E+03 1 1E-06 5030.62 116 SAFH 203 111 0 1 1.9E+03 2 1.5E-06 4486.73 117 SAFJ 204 112 0 1 1.5E+03 0 8.1E-07 4952.48 118 SAFJ 204 112 0 0.5 1.4E+03 0 8.1E-07 6475.86 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFJ 204 112 0 0.3 0 0 8.1E-07 6475.86 120 SAFJ 204 112 0 0.2 0 0 8.1E-07 6475.86 121 SAFJ 204 112 0 0.1 0 0 8.1E-07 6475.86 122 AFG 204 112 0 0 2.5E+02 0 0 6581.93 122 FOUND SOLUTION: 6581.93 (NLP) in 25 sec. 123 AFH 204 112 0 0 1.6 6 4.1E-06 6581.94 124 AFH 205 113 0 0 0.85 6 2.9E-06 6581.94 125 AFH 206 114 0 0 0.05 5 2.6E-06 6581.94 126 AFH 207 115 0 0 0.023 4 2.1E-06 6581.94 127 AFH 208 116 0 0 0.044 3 1.6E-06 6581.94 128 AFH 209 117 0 0 0.044 2 1.5E-06 6581.94 129 AFH 210 118 0 0 0.048 1 1E-06 6581.94 130 AFJ 211 119 0 0 0.43 0 9E-07 6581.94 130 FOUND SOLUTION: 6581.94 in 33 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.31_RSyn0810M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 6581.9344081927756633 Max constraint (5) : 0 Alternative solution : MIP Alt. objective value : 6581.9354022695297317 Max constraint (10) : 9.0362466931281915095e-07 Time used (seconds) : 32.48 Time limit (seconds) : 7200 Iterations used : 130 Iteration limit : -1 Function evaluations : 3528 Gradient evaluations : 211 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 8.3 % MIP time usage : 91.7 % Optimal/total MIPs : 9/130 NLP solver calls : 131 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M04M.gms(4661) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M04M.gms Stop 09/14/12 14:38:09 elapsed 0:00:32.535 @04 1347626289 ----------------------------- Fr 14. Sep 14:38:09 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0810M.gms =========== ----------------------------- Fr 14. Sep 14:37:37 CEST 2012 ----------------------------- @03 1347626257 --- Job RSyn0810M.gms Start 09/14/12 14:37:37 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0810M.gms(723) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- RSyn0810M.gms(721) 3 Mb --- Generating MINLP model m --- RSyn0810M.gms(723) 5 Mb --- 313 rows 186 columns 817 non-zeroes --- 40 nl-code 6 nl-non-zeroes --- 74 discrete-columns --- RSyn0810M.gms(723) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.32_RSyn0810M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 817 elements of which 1% are non-linear(NL) included in 313 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 6 from a total of 186 variables: Continuous(112), Binary(74), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=43 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.1E+03 0 0 1383.08 1 FOUND SOLUTION: 1383.08 (NLP) in 1 sec. 2 SAFH 0 0 0 1 2.9E+02 4 2.4 2218.4 3 SAFG 2 1 0 1 3.1E+02 0 0 1587.65 3 FOUND SOLUTION: 1587.65 (NLP) in 1 sec. 4 SAFH 2 1 0 1 2.9E+02 3 2.9 2063.6 5 SAFH 3 2 0 1 88 3 1.2 1847.75 6 SAFH 6 3 0 1 1.2E+02 2 2 1621.97 7 SAFH 7 4 0 1 3.1 1 0.4 1400.07 8 SAFH 8 5 0 1 83 1 0.063 1386.24 9 SAFH 9 6 0 1 18 1 0.0019 1383.18 10 SAFH 10 7 0 1 0.59 1 1.8E-06 1383.08 11 SAFJ 11 8 0 1 0.00056 0 1.6E-12 1383.08 12 SAFH 11 8 0 0.5 5.2E+02 1 1.4 1608.24 13 SAFH 12 9 0 0.5 1.2E+02 1 0.48 1588.28 14 SAFH 13 10 0 0.5 48 1 0.019 1474.25 15 SAFJ 14 11 0 0.5 0.7 0 0 1465.88 16 SAFJ 14 11 0 0.3 0 0 0 1465.88 17 SAFJ 14 11 0 0.2 0 0 0 1465.88 18 SAFJ 14 11 0 0.1 0 0 0 1465.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 14 11 0 0 3E+02 0 0 1721.45 19 FOUND SOLUTION: 1721.45 (NLP) in 1 sec. 20 AFH 14 11 0 0 6.9 1 0.026 1722.63 21 AFH 15 12 0 0 6.8 1 0.00028 1721.46 22 AFJ 16 13 0 0 0.075 0 3.2E-08 1721.45 22 FOUND SOLUTION: 1721.45 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.32_RSyn0810M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1721.4477110451193766 Max constraint (2) : 0 Alternative solution : MIP Alt. objective value : 1721.4477125314867862 Max constraint (2) : 3.2429842367065475628e-08 Time used (seconds) : 1.12 Time limit (seconds) : 7200 Iterations used : 22 Iteration limit : -1 Function evaluations : 318 Gradient evaluations : 16 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.6 % NLP time usage : 11.9 % MIP time usage : 87.4 % Optimal/total MIPs : 4/22 NLP solver calls : 23 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0810M.gms(723) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0810M.gms Stop 09/14/12 14:37:38 elapsed 0:00:01.164 @04 1347626258 ----------------------------- Fr 14. Sep 14:37:38 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820H.gms =========== ----------------------------- Fr 14. Sep 14:37:38 CEST 2012 ----------------------------- @03 1347626258 --- Job RSyn0820H.gms Start 09/14/12 14:37:38 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820H.gms(1380) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- RSyn0820H.gms(1378) 3 Mb --- Generating MINLP model m --- RSyn0820H.gms(1380) 5 Mb --- 605 rows 418 columns 1,457 non-zeroes --- 235 nl-code 42 nl-non-zeroes --- 52 discrete-columns --- RSyn0820H.gms(1380) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.33_RSyn0820H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1457 elements of which 3% are non-linear(NL) included in 605 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 40 from a total of 418 variables: Continuous(366), Binary(52), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=98 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (519) infeasibile 0 H 0 0 0 1 0 14 0.11 NA 1 SAFG 14 1 0 1 1.2E+03 0 5.9E-14 712.021 1 FOUND SOLUTION: 712.021 (NLP) in 1 sec. 2 SAFH 14 1 0 1 5.3E+02 9 2.4 3441.14 3 SAFH 18 2 0 1 3.9E+02 9 1.2 2762.1 4 SAFH 24 3 0 1 3.5E+02 9 2 2316.06 5 SAFH 27 4 0 1 56 9 0.64 1487.63 6 SAFH 31 5 0 1 2.1E+02 7 0.66 891.686 7 SAFH 32 6 0 1 69 7 0.12 879.28 8 SAFH 37 7 0 1 29 8 0.079 764.642 9 SAFH 38 8 0 1 4.7 8 0.038 746.166 10 SAFH 41 9 0 1 5.6 8 0.017 723.53 11 SAFH 46 10 0 1 7.9 7 0.0071 706.076 12 SAFH 50 11 0 1 6.2 5 0.0024 699.419 13 SAFH 52 12 0 1 1.6 7 0.001 698.747 14 SAFH 54 13 0 1 1.2 5 0.00059 698.252 15 SAFH 55 14 0 1 0.29 5 0.0005 698.104 16 SAFH 56 15 0 1 0.38 5 0.00025 697.969 17 SAFH 57 16 0 1 0.23 5 0.00013 697.906 18 SAFH 58 17 0 1 0.19 5 6.3E-05 697.838 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 59 18 0 1 0.11 5 3.9E-05 697.807 20 SAFH 60 19 0 1 0.0024 4 3.2E-05 697.795 21 SAFH 61 20 0 1 0.097 4 4.1E-05 697.785 22 SAFH 62 21 0 1 0.077 4 1E-05 697.78 23 SAFH 63 22 0 1 0.039 3 7.9E-06 697.778 24 SAFH 64 23 0 1 0.02 4 2.6E-06 697.775 25 SAFH 65 24 0 1 0.0095 2 2.6E-06 697.774 26 SAFH 66 25 0 1 0.019 2 2.2E-06 697.773 27 SAFH 67 26 0 1 9.3E-05 1 1.7E-06 697.773 28 SAFJL 68 27 0 1 0.022 0 6.6E-07 697.772 29 SAFG 54 26 0 0.5 1.1E+03 0 1.4E-10 1138.41 29 FOUND SOLUTION: 1138.41 (NLP) in 1 sec. 30 SAFH 54 26 0 0.5 3.5E+02 5 2.9 1308.29 31 SAFH 55 27 0 0.5 1E+02 5 1.4 1278.32 32 SAFG 56 28 0 0.5 3.3E+02 0 1.4E-10 1150.3 32 FOUND SOLUTION: 1150.3 (NLP) in 1 sec. 33 SAFH 56 28 0 0.5 88 5 0.48 1227.27 34 SAFH 57 29 0 0.5 87 5 0.034 1159.69 35 SAFH 58 30 0 0.5 1.8 4 0.00039 1150.43 36 SAFH 59 31 0 0.5 1.3 4 9.8E-05 1150.35 37 SAFH 60 32 0 0.5 0.66 4 6.8E-05 1150.34 38 SAFH 61 33 0 0.5 1 3 1.7E-05 1150.31 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 62 34 0 0.5 0.49 4 3.8E-05 1150.31 40 SAFH 63 35 0 0.5 0.0028 3 1.4E-05 1150.3 41 SAFH 64 36 0 0.5 0.28 2 3.6E-06 1150.3 42 SAFH 65 37 0 0.5 0.14 2 3.8E-06 1150.3 43 SAFH 66 38 0 0.5 0.13 1 1.4E-06 1150.3 44 SAFJ 67 39 0 0.5 0.0001 0 9.4E-07 1150.3 44 FOUND SOLUTION: 1150.3 in 2 sec. 45 SAFJ 67 39 0 0.3 0 0 9.4E-07 1150.3 46 SAFJ 67 39 0 0.2 0 0 9.4E-07 1150.3 47 SAFJ 67 39 0 0.1 0 0 9.4E-07 1150.3 48 AFJ 67 39 0 0 1.9E-06 0 9.4E-07 1150.3 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.33_RSyn0820H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1150.3010735118000412 Max constraint (7) : 1.3814274660606251302e-10 Alternative solution : MIP Alt. objective value : 1150.3021788811734041 Max constraint (3) : 9.4303927396334758016e-07 Time used (seconds) : 1.29 Time limit (seconds) : 7200 Iterations used : 48 Iteration limit : -1 Function evaluations : 1288 Gradient evaluations : 81 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 43.4 % MIP time usage : 55.8 % Optimal/total MIPs : 1/48 NLP solver calls : 49 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820H.gms(1380) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820H.gms Stop 09/14/12 14:37:39 elapsed 0:00:01.331 @04 1347626259 ----------------------------- Fr 14. Sep 14:37:39 CEST 2012 ----------------------------- =ready= Linux opt232 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M02H.gms =========== ----------------------------- Fr 14. Sep 14:37:38 CEST 2012 ----------------------------- @03 1347626258 --- Job RSyn0820M02H.gms Start 09/14/12 14:37:38 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M02H.gms(3357) 3 Mb --- Starting execution: elapsed 0:00:00.026 --- RSyn0820M02H.gms(3355) 3 Mb --- Generating MINLP model m --- RSyn0820M02H.gms(3357) 6 Mb --- 1,501 rows 979 columns 3,581 non-zeroes --- 470 nl-code 84 nl-non-zeroes --- 208 discrete-columns --- RSyn0820M02H.gms(3357) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.043 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.34_RSyn0820M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3581 elements of which 2% are non-linear(NL) included in 1501 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 80 from a total of 979 variables: Continuous(771), Binary(208), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=228 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1188) infeasibile 0 H 0 0 0 1 0 28 0.11 NA 1 SAFG 28 1 0 1 2.1E+03 0 5.6E-17 68.1248 1 FOUND SOLUTION: 68.1248 (NLP) in 1 sec. 2 SAFH 28 1 0 1 6.6E+02 8 3.7 1972.47 3 SAFH 34 2 0 1 3.5E+02 10 2.2 1524.14 4 SAFH 40 3 0 1 4.6E+02 10 3 908.429 5 SAFH 44 4 0 1 80 6 0.57 407.045 6 SAFG 48 5 0 1 2E+02 0 5.9E-15 69.1926 6 FOUND SOLUTION: 69.1926 (NLP) in 1 sec. 7 SAFH 48 5 0 1 1.9E+02 6 1 850.387 8 SAFH 50 6 0 1 17 7 0.5 259.772 9 SAFH 52 7 0 1 11 7 0.16 181.381 10 SAFH 57 8 0 1 1.1E+02 6 0.033 86.1732 11 SAFH 61 9 0 1 42 5 0.03 81.5012 12 SAFH 62 10 0 1 2.3 5 0.0076 73.9279 13 SAFH 65 11 0 1 18 5 0.0053 70.4245 14 SAFH 66 12 0 1 0.78 5 0.0018 70.0568 15 SAFH 69 13 0 1 9 5 0.00045 69.5336 16 SAFH 70 14 0 1 0.33 5 0.00045 69.4443 17 SAFH 71 15 0 1 3.9 5 0.00044 69.441 18 SAFH 72 16 0 1 0.27 5 0.00073 69.2848 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 73 17 0 1 0.26 4 0.00018 69.2672 20 SAFH 74 18 0 1 0.13 5 0.00011 69.2582 21 SAFH 75 19 0 1 0.17 5 0.00013 69.2241 22 SAFH 76 20 0 1 0.13 5 0.00011 69.2204 23 SAFH 77 21 0 1 1.9 5 4.6E-05 69.2187 24 SAFH 78 22 0 1 0.068 5 5.6E-05 69.2142 25 SAFH 79 23 0 1 0.098 5 3.1E-05 69.2038 26 SAFH 80 24 0 1 0.062 4 2.8E-05 69.2019 27 SAFH 81 25 0 1 0.96 4 1.4E-05 69.2011 28 SAFH 82 26 0 1 0.037 4 1.2E-05 69.1958 29 SAFH 83 27 0 1 0.034 3 7.8E-06 69.1955 30 SAFH 84 28 0 1 0.031 4 6.9E-06 69.1946 31 SAFH 85 29 0 1 0.48 4 2.9E-06 69.1942 32 SAFH 86 30 0 1 0.017 3 2.8E-06 69.194 33 SAFH 87 31 0 1 0.026 1 1.7E-06 69.1934 34 SAFJL 88 32 0 1 0.24 0 7.2E-07 69.1932 34 FOUND SOLUTION: 69.1932 in 2 sec. 35 SAFG 60 31 0 0.5 2.6E+03 0 0 1049.83 35 FOUND SOLUTION: 1049.83 (NLP) in 2 sec. 36 SAFH 60 31 0 0.5 8.4E+02 9 4.5 2892.14 37 SAFG 62 32 0 0.5 9.2E+02 0 2E-14 1067.28 37 FOUND SOLUTION: 1067.28 (NLP) in 3 sec. 38 SAFH 62 32 0 0.5 5.4E+02 9 2.6 2720.05 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 64 33 0 0.5 4.7E+02 9 1.2 2005.49 40 SAFG 69 34 0 0.5 2.6E+02 0 5.5E-11 1077.6 40 FOUND SOLUTION: 1077.6 (NLP) in 3 sec. 41 SAFH 69 34 0 0.5 1.3E+02 8 0.84 1345.84 42 SAFG 71 35 0 0.5 1.6E+02 0 6.4E-11 1090.6 42 FOUND SOLUTION: 1090.6 (NLP) in 3 sec. 43 SAFH 71 35 0 0.5 1.3E+02 4 0.25 1165.13 44 SAFH 73 36 0 0.5 1.3E+03 4 0.76 1141.68 45 SAFH 74 37 0 0.5 1E+03 3 0.05 1075.85 46 SAFH 75 38 0 0.5 46 3 0.011 1070.95 47 SAFH 76 39 0 0.5 21 3 0.003 1070.3 48 SAFH 77 40 0 0.5 11 3 0.00076 1069.95 49 SAFH 78 41 0 0.5 5.7 3 0.00019 1069.94 50 SAFH 79 42 0 0.5 2.8 3 4.7E-05 1069.93 51 SAFH 80 43 0 0.5 1.4 3 2.4E-05 1069.93 52 SAFH 81 44 0 0.5 0.00023 2 2E-05 1069.92 53 SAFH 82 45 0 0.5 0.053 3 1.2E-05 1069.92 54 SAFH 83 46 0 0.5 0.69 3 5.9E-06 1069.92 55 SAFH 84 47 0 0.5 0.027 2 2.9E-06 1069.92 56 SAFH 85 48 0 0.5 0.34 1 1.5E-06 1069.92 57 SAFJ 86 49 0 0.5 0.013 0 7.3E-07 1069.92 58 SAFJ 86 49 0 0.3 0 0 7.3E-07 1069.92 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFJ 86 49 0 0.2 0 0 7.3E-07 1069.92 60 SAFJ 86 49 0 0.1 0 0 7.3E-07 1069.92 61 AFG 86 49 0 0 3.8E+02 0 5.8E-13 1092.09 61 FOUND SOLUTION: 1092.09 (NLP) in 4 sec. 62 AFH 86 49 0 0 41 2 0.014 1092.81 63 AFH 87 50 0 0 27 2 0.0033 1092.41 64 AFH 88 51 0 0 12 2 0.0008 1092.23 65 AFH 89 52 0 0 6 2 0.0002 1092.14 66 AFH 90 53 0 0 2.9 2 0.00011 1092.13 67 AFH 91 54 0 0 0.12 3 4.9E-05 1092.12 68 AFH 92 55 0 0 1.5 3 4.6E-05 1092.11 69 AFH 93 56 0 0 0.0079 2 2.7E-05 1092.1 70 AFH 94 57 0 0 0.066 3 1.2E-05 1092.1 71 AFH 95 58 0 0 0.75 3 8.6E-06 1092.1 72 AFH 96 59 0 0 6.9E-05 2 6.7E-06 1092.09 73 AFH 97 60 0 0 0.029 3 3.1E-06 1092.09 74 AFH 98 61 0 0 0.37 2 2.2E-06 1092.09 75 AFH 99 62 0 0 0.0041 1 1.7E-06 1092.09 76 AFJ 100 63 0 0 0.017 0 7.7E-07 1092.09 76 FOUND SOLUTION: 1092.09 in 5 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.34_RSyn0820M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1092.0915882855997552 Max constraint (14) : 5.8442198458408250368e-13 Alternative solution : MIP Alt. objective value : 1092.0920046205596918 Max constraint (3) : 7.7493807859759830665e-07 Time used (seconds) : 4.40 Time limit (seconds) : 7200 Iterations used : 76 Iteration limit : -1 Function evaluations : 3864 Gradient evaluations : 128 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.4 % NLP time usage : 34.7 % MIP time usage : 64.9 % Optimal/total MIPs : 16/76 NLP solver calls : 77 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M02H.gms(3357) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M02H.gms Stop 09/14/12 14:37:43 elapsed 0:00:04.477 @04 1347626263 ----------------------------- Fr 14. Sep 14:37:43 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M02M.gms =========== ----------------------------- Fr 14. Sep 14:37:39 CEST 2012 ----------------------------- @03 1347626259 --- Job RSyn0820M02M.gms Start 09/14/12 14:37:39 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M02M.gms(2372) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- RSyn0820M02M.gms(2370) 3 Mb --- Generating MINLP model m --- RSyn0820M02M.gms(2372) 6 Mb --- 1,075 rows 511 columns 2,703 non-zeroes --- 190 nl-code 28 nl-non-zeroes --- 208 discrete-columns --- RSyn0820M02M.gms(2372) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.35_RSyn0820M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2703 elements of which 1% are non-linear(NL) included in 1075 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 28 from a total of 511 variables: Continuous(303), Binary(208), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=138 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 2.4E+03 0 6.2E-10 606.57 1 FOUND SOLUTION: 606.57 (NLP) in 1 sec. 2 SAFH 0 0 0 1 4.9E+02 16 4.5 4347.44 3 SAFH 6 1 0 1 2.4E+02 18 2.6 3899.12 4 SAFH 8 2 0 1 3.1E+02 18 3.7 3841.66 5 SAFH 10 3 0 1 9.8E+02 18 2.2 3299.51 6 SAFH 18 4 0 1 3.1E+02 20 2.8 2806.63 7 SAFH 22 5 0 1 5.1E+02 13 1.4 1756.52 8 SAFH 27 6 0 1 24 11 1.4 972.551 9 SAFH 30 7 0 1 55 8 0.57 702.843 10 SAFH 32 8 0 1 27 6 0.22 582.447 11 SAFH 38 9 0 1 81 6 0.044 423.861 12 SAFH 43 10 0 1 30 5 0.012 384.256 13 SAFH 47 11 0 1 14 5 0.0029 377.564 14 SAFH 50 12 0 1 7 5 0.0015 376.414 15 SAFH 51 13 0 1 0.31 4 0.00062 376.404 16 SAFH 52 14 0 1 0.12 4 0.00061 376.244 17 SAFH 53 15 0 1 3.4 4 0.00057 376.184 18 SAFH 54 16 0 1 9.3 2 0.00037 374.647 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 55 17 0 1 0.15 3 0.0002 374.642 20 SAFH 56 18 0 1 0.00094 2 0.00015 374.599 21 SAFH 57 19 0 1 1.7 2 9.2E-05 374.591 22 SAFH 58 20 0 1 0.074 3 4.7E-05 374.571 23 SAFH 59 21 0 1 0.038 3 3.8E-05 374.565 24 SAFH 60 22 0 1 0.85 3 1.2E-05 374.561 25 SAFH 61 23 0 1 0.019 3 1.3E-05 374.559 26 SAFH 62 24 0 1 0.028 2 9.5E-06 374.558 27 SAFH 63 25 0 1 0.42 2 3.2E-06 374.558 28 SAFH 64 26 0 1 0.01 2 2.9E-06 374.557 29 SAFH 65 27 0 1 0.0094 1 2.4E-06 374.557 30 SAFJ 66 28 0 1 0.21 0 7.3E-07 374.557 31 SAFJ 66 28 0 0.5 1.3E-11 0 7.3E-07 374.557 32 SAFJ 66 28 0 0.3 0 0 7.3E-07 374.557 33 SAFJ 66 28 0 0.2 0 0 7.3E-07 374.557 34 SAFJ 66 28 0 0.1 0 0 7.3E-07 374.557 35 AFG 66 28 0 0 7.1E+02 0 0 1060.04 35 FOUND SOLUTION: 1060.04 (NLP) in 8 sec. 36 AFH 66 28 0 0 3.4E+02 7 0.81 1171.04 37 AFH 67 29 0 0 5.6E+02 7 1 1137.37 38 AFG 69 30 0 0 6.3E+02 0 3.1E-12 1090.36 38 FOUND SOLUTION: 1090.36 (NLP) in 12 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 69 30 0 0 18 7 0.024 1094.11 40 AFG 70 31 0 0 23 0 5.2E-11 1092.09 40 FOUND SOLUTION: 1092.09 (NLP) in 13 sec. 41 AFH 70 31 0 0 17 4 0.011 1093.59 42 AFH 71 32 0 0 16 4 0.0026 1092.93 43 AFH 73 33 0 0 7.4 3 0.00064 1092.16 44 AFH 74 34 0 0 3.6 3 0.00016 1092.15 45 AFH 75 35 0 0 1.8 3 0.00014 1092.14 46 AFH 76 36 0 0 0.076 3 0.00011 1092.14 47 AFH 77 37 0 0 0.00046 2 4E-05 1092.11 48 AFH 78 38 0 0 0.91 2 3.5E-05 1092.1 49 AFH 79 39 0 0 0.038 3 1.5E-05 1092.1 50 AFH 80 40 0 0 0.019 3 1E-05 1092.09 51 AFH 81 41 0 0 0.46 3 3.8E-06 1092.09 52 AFH 82 42 0 0 0.0096 2 4.9E-06 1092.09 53 AFH 83 43 0 0 0.014 2 2.5E-06 1092.09 54 AFH 84 44 0 0 0.23 1 1.2E-06 1092.09 55 AFJ 85 45 0 0 0.007 0 7.3E-07 1092.09 55 FOUND SOLUTION: 1092.09 in 28 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.35_RSyn0820M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1092.0911008072848745 Max constraint (27) : 5.1636250830711105664e-11 Alternative solution : MIP Alt. objective value : 1092.0913632672131826 Max constraint (13) : 7.2969740494421841959e-07 Time used (seconds) : 27.98 Time limit (seconds) : 7200 Iterations used : 55 Iteration limit : -1 Function evaluations : 2520 Gradient evaluations : 85 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 2.8 % MIP time usage : 97.2 % Optimal/total MIPs : 21/55 NLP solver calls : 56 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M02M.gms(2372) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M02M.gms Stop 09/14/12 14:38:07 elapsed 0:00:28.021 @04 1347626287 ----------------------------- Fr 14. Sep 14:38:07 CEST 2012 ----------------------------- =ready= Linux opt222 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M03H.gms =========== ----------------------------- Fr 14. Sep 14:37:40 CEST 2012 ----------------------------- @03 1347626260 --- Job RSyn0820M03H.gms Start 09/14/12 14:37:40 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M03H.gms(5461) 3 Mb --- Starting execution: elapsed 0:00:00.018 --- RSyn0820M03H.gms(5459) 3 Mb --- Generating MINLP model m --- RSyn0820M03H.gms(5461) 6 Mb --- 2,449 rows 1,468 columns 5,833 non-zeroes --- 705 nl-code 126 nl-non-zeroes --- 312 discrete-columns --- RSyn0820M03H.gms(5461) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.029 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.36_RSyn0820M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 5833 elements of which 2% are non-linear(NL) included in 2449 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(42) The number of variables in NL elements are 120 from a total of 1468 variables: Continuous(1156), Binary(312), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=361 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1889) infeasibile 0 H 0 0 0 1 0 42 0.11 NA 1 SAFG 42 1 0 1 3.1E+03 0 1.7E-11 803.668 1 FOUND SOLUTION: 803.668 (NLP) in 1 sec. 2 SAFH 42 1 0 1 1.3E+03 13 3.7 3882.35 3 SAFH 51 2 0 1 5.5E+02 18 2.2 3166.87 4 SAFH 61 3 0 1 9.6E+02 18 3 2110.89 5 SAFH 67 4 0 1 1.9E+02 9 0.57 1301.95 6 SAFG 73 5 0 1 3E+02 0 4E-13 805.521 6 FOUND SOLUTION: 805.521 (NLP) in 1 sec. 7 SAFH 73 5 0 1 2.8E+02 8 1 1409.74 8 SAFH 74 6 0 1 4.3 7 0.25 994.004 9 SAFH 77 7 0 1 4.1E+02 7 0.092 903.566 10 SAFH 84 8 0 1 1.6E+02 8 0.02 823.997 11 SAFH 91 9 0 1 88 7 0.0053 810.466 12 SAFH 96 10 0 1 46 8 0.0051 807.818 13 SAFH 98 11 0 1 1.2 8 0.0026 806.692 14 SAFH 101 12 0 1 1 8 0.001 806.36 15 SAFH 102 13 0 1 0.48 8 0.00095 805.995 16 SAFH 103 14 0 1 9.2 8 0.00095 805.97 17 SAFH 104 15 0 1 9 8 0.00066 805.853 18 SAFH 105 16 0 1 4.7 8 0.00063 805.793 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 106 17 0 1 0.29 8 0.00067 805.756 20 SAFH 107 18 0 1 0.27 8 0.00034 805.711 21 SAFH 108 19 0 1 0.21 8 0.00024 805.693 22 SAFH 109 20 0 1 4.7 8 0.00023 805.68 23 SAFH 110 21 0 1 4.4 8 0.00017 805.66 24 SAFH 111 22 0 1 0.14 8 0.00016 805.637 25 SAFH 112 23 0 1 2.3 8 0.00016 805.626 26 SAFH 113 24 0 1 0.067 8 0.00011 805.584 27 SAFH 114 25 0 1 0.16 8 6.1E-05 805.57 28 SAFH 115 26 0 1 2.4 8 5.9E-05 805.564 29 SAFH 116 27 0 1 2.2 8 4.3E-05 805.554 30 SAFH 117 28 0 1 0.069 7 4.1E-05 805.544 31 SAFH 118 29 0 1 1.2 7 3.9E-05 805.54 32 SAFH 119 30 0 1 0.033 8 2.7E-05 805.537 33 SAFH 120 31 0 1 0.08 8 1.5E-05 805.53 34 SAFH 121 32 0 1 1.2 8 1.5E-05 805.527 35 SAFH 122 33 0 1 1.1 8 1.1E-05 805.527 36 SAFH 123 34 0 1 0.034 8 1E-05 805.527 37 SAFH 124 35 0 1 0.59 8 9.7E-06 805.526 38 SAFH 125 36 0 1 0.017 8 6.7E-06 805.525 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 126 37 0 1 0.04 7 5.5E-06 805.524 40 SAFH 127 38 0 1 0.035 6 3.8E-06 805.523 41 SAFH 128 39 0 1 0.59 5 3.7E-06 805.523 42 SAFH 129 40 0 1 0.56 4 2.5E-06 805.523 43 SAFH 130 41 0 1 0.29 3 2.4E-06 805.523 44 SAFH 131 42 0 1 0.018 2 1.7E-06 805.522 45 SAFH 132 43 0 1 0.02 1 1.4E-06 805.522 46 SAFJL 133 44 0 1 0.018 0 9.5E-07 805.522 46 FOUND SOLUTION: 805.522 in 4 sec. 47 SAFG 91 43 0 0.5 2.7E+03 0 1.4E-17 1941.76 47 FOUND SOLUTION: 1941.76 (NLP) in 4 sec. 48 SAFH 91 43 0 0.5 1.3E+03 13 4.5 5383.66 49 SAFH 94 44 0 0.5 4.8E+02 13 2.6 5131.14 50 SAFG 98 45 0 0.5 1.2E+03 0 2.8E-17 1969.57 50 FOUND SOLUTION: 1969.57 (NLP) in 5 sec. 51 SAFH 98 45 0 0.5 2.4E+02 12 1.1 4129.43 52 SAFG 107 46 0 0.5 2.7E+02 0 4.1E-12 1986.57 52 FOUND SOLUTION: 1986.57 (NLP) in 5 sec. 53 SAFH 107 46 0 0.5 2.6E+02 15 1.4 2580.52 54 SAFG 111 47 0 0.5 2.9E+02 0 1.1E-16 2001.3 54 FOUND SOLUTION: 2001.3 (NLP) in 5 sec. 55 SAFH 111 47 0 0.5 2.2E+02 5 0.36 2223.75 56 SAFH 115 48 0 0.5 2.1E+03 5 0.68 2082.17 57 SAFH 117 49 0 0.5 2E+03 3 0.071 2030.44 58 SAFH 120 50 0 0.5 2E+02 3 0.016 2003.33 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 123 51 0 0.5 1.7E+02 3 0.0042 2002.28 60 SAFH 125 52 0 0.5 1.6E+02 3 0.001 1996.15 61 SAFH 126 53 0 0.5 6.4 3 0.00064 1996.05 62 SAFH 127 54 0 0.5 1.7E+02 3 0.0011 2001.47 63 SAFH 128 55 0 0.5 15 3 0.00027 2001.38 64 SAFH 129 56 0 0.5 1.6E+02 3 0.00026 1995.91 65 SAFH 130 57 0 0.5 1.7E+02 3 0.00016 2001.36 66 SAFH 131 58 0 0.5 0.12 3 9E-05 2001.35 67 SAFH 132 59 0 0.5 1.6E+02 2 6.4E-05 1995.85 68 SAFH 133 60 0 0.5 9.6 2 2.2E-05 1995.85 69 SAFH 134 61 0 0.5 8.1 3 1.6E-05 1995.84 70 SAFH 135 62 0 0.5 1.6E+02 3 6.7E-05 2001.31 71 SAFH 136 63 0 0.5 1.6E+02 3 1.1E-05 1995.84 72 SAFH 137 64 0 0.5 8.6E-05 2 5.6E-06 1995.84 73 SAFH 138 65 0 0.5 8 3 4E-06 1995.84 74 SAFH 139 66 0 0.5 0.4 2 2.3E-06 1995.84 75 SAFH 140 67 0 0.5 1.8E-05 1 1.4E-06 1995.84 76 SAFJ 141 68 0 0.5 8 0 1E-06 1995.84 77 SAFJ 141 68 0 0.3 0 0 1E-06 1995.84 78 SAFJ 141 68 0 0.2 0 0 1E-06 1995.84 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFJ 141 68 0 0.1 0 0 1E-06 1995.84 80 AFG 141 68 0 0 8.6E+02 0 4.4E-16 2028.81 80 FOUND SOLUTION: 2028.81 (NLP) in 7 sec. 81 AFH 141 68 0 0 0.68 1 0.00027 2028.85 82 AFH 142 69 0 0 3.5 1 6.9E-05 2028.82 83 AFH 143 70 0 0 9.8 1 1.7E-05 2028.81 84 AFH 144 71 0 0 0.88 1 4.3E-06 2028.81 85 AFH 145 72 0 0 0.44 1 1.1E-06 2028.81 86 AFJ 146 73 0 0 0.22 0 9.2E-07 2028.81 86 FOUND SOLUTION: 2028.81 in 8 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.36_RSyn0820M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2028.8127434719581288 Max constraint (5) : 4.440896539392724297e-16 Alternative solution : MIP Alt. objective value : 2028.8133207841017338 Max constraint (19) : 9.228512236943477125e-07 Time used (seconds) : 7.70 Time limit (seconds) : 7200 Iterations used : 86 Iteration limit : -1 Function evaluations : 6804 Gradient evaluations : 188 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.4 % NLP time usage : 41.9 % MIP time usage : 57.7 % Optimal/total MIPs : 7/86 NLP solver calls : 87 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M03H.gms(5461) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M03H.gms Stop 09/14/12 14:37:47 elapsed 0:00:07.754 @04 1347626267 ----------------------------- Fr 14. Sep 14:37:47 CEST 2012 ----------------------------- =ready= Linux opt209 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M03M.gms =========== ----------------------------- Fr 14. Sep 14:37:40 CEST 2012 ----------------------------- @03 1347626260 --- Job RSyn0820M03M.gms Start 09/14/12 14:37:40 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M03M.gms(3961) 3 Mb --- Starting execution: elapsed 0:00:00.016 --- RSyn0820M03M.gms(3959) 3 Mb --- Generating MINLP model m --- RSyn0820M03M.gms(3961) 6 Mb --- 1,810 rows 766 columns 4,514 non-zeroes --- 285 nl-code 42 nl-non-zeroes --- 312 discrete-columns --- RSyn0820M03M.gms(3961) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.024 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.37_RSyn0820M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4514 elements of which 1% are non-linear(NL) included in 1810 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(42) The number of variables in NL elements are 42 from a total of 766 variables: Continuous(454), Binary(312), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=227 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 3.2E+03 0 3.3E-11 1950.64 1 FOUND SOLUTION: 1950.64 (NLP) in 1 sec. 2 SAFH 0 0 0 1 1E+03 26 4.5 7846.56 3 SAFG 9 1 0 1 1.2E+03 0 2.3E-10 1984.08 3 FOUND SOLUTION: 1984.08 (NLP) in 1 sec. 4 SAFH 9 1 0 1 7.6E+02 29 2.6 7141.71 5 SAFH 14 2 0 1 7.8E+02 29 3.7 6793.98 6 SAFH 17 3 0 1 3.3E+02 29 2.2 6550.04 7 SAFH 29 4 0 1 1.1E+03 32 2.8 6185.52 8 SAFH 35 5 0 1 3.8E+02 20 1.4 4456.33 9 SAFH 46 6 0 1 3.9E+02 16 1.4 2831.73 10 SAFH 53 7 0 1 1.7E+03 12 0.57 1821.62 11 SAFH 56 8 0 1 8.8E+02 9 0.22 2300.03 12 SAFG 65 9 0 1 1.8E+02 0 7.2E-11 1994.48 12 FOUND SOLUTION: 1994.48 (NLP) in 3 sec. 13 SAFH 65 9 0 1 6.4 11 0.044 2074.78 14 SAFH 72 10 0 1 39 11 0.035 2012.9 15 SAFG 76 11 0 1 1.5E+02 0 1.3E-11 1996.98 15 FOUND SOLUTION: 1996.98 (NLP) in 3 sec. 16 SAFH 76 11 0 1 27 8 0.012 2006.97 17 SAFH 82 12 0 1 1.3E+02 8 0.0029 1996.82 18 SAFH 87 13 0 1 8.2 8 0.0015 1995.18 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 88 14 0 1 0.31 7 0.00065 1995.17 20 SAFH 89 15 0 1 3.6 7 0.00062 1995.13 21 SAFH 90 16 0 1 0.12 7 0.00057 1994.97 22 SAFH 91 17 0 1 0.16 7 0.00053 1994.97 23 SAFH 92 18 0 1 0.17 7 0.00097 1994.76 24 SAFH 93 19 0 1 0.17 6 0.00047 1994.74 25 SAFH 94 20 0 1 0.058 7 0.00037 1994.67 26 SAFH 95 21 0 1 0.15 8 0.00024 1994.67 27 SAFH 96 22 0 1 0.083 8 0.0002 1994.66 28 SAFH 97 23 0 1 0.00094 7 0.00016 1994.62 29 SAFH 98 24 0 1 1.8 7 0.00014 1994.6 30 SAFH 99 25 0 1 0.076 7 0.00012 1994.6 31 SAFH 100 26 0 1 0.029 7 0.00011 1994.56 32 SAFH 101 27 0 1 0.00046 6 9.2E-05 1994.53 33 SAFH 102 28 0 1 0.074 7 5.9E-05 1994.51 34 SAFH 103 29 0 1 0.041 7 4.7E-05 1994.51 35 SAFH 104 30 0 1 0.038 7 4E-05 1994.5 36 SAFH 105 31 0 1 0.89 7 3.5E-05 1994.5 37 SAFH 106 32 0 1 0.038 8 2.9E-05 1994.49 38 SAFH 107 33 0 1 0.014 8 1.5E-05 1994.49 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 108 34 0 1 0.019 8 1.5E-05 1994.49 40 SAFH 109 35 0 1 0.02 8 1.2E-05 1994.49 41 SAFH 110 36 0 1 0.019 8 1.3E-05 1994.49 42 SAFH 111 37 0 1 0.028 7 1.1E-05 1994.49 43 SAFH 112 38 0 1 0.012 6 1E-05 1994.48 44 SAFH 113 39 0 1 0.44 6 3.8E-06 1994.48 45 SAFH 114 40 0 1 0.0096 5 4.9E-06 1994.48 46 SAFH 115 41 0 1 0.014 5 3.7E-06 1994.48 47 SAFH 116 42 0 1 0.011 5 3.2E-06 1994.48 48 SAFH 117 43 0 1 0.01 5 2.9E-06 1994.48 49 SAFH 118 44 0 1 0.0094 4 2.6E-06 1994.48 50 SAFH 119 45 0 1 0.0058 2 2.5E-06 1994.48 51 SAFH 120 46 0 1 0.22 1 1.2E-06 1994.48 52 SAFJ 121 47 0 1 0.007 0 9.2E-07 1994.48 53 SAFJ 121 47 0 0.5 0 0 9.2E-07 1994.48 54 SAFJ 121 47 0 0.3 0 0 9.2E-07 1994.48 55 SAFG 121 47 0 0.2 1.8E+02 0 0 2014.35 55 FOUND SOLUTION: 2014.35 (NLP) in 9 sec. 56 SAFJ 121 47 0 0.2 0.033 0 9.2E-07 2014.35 56 FOUND SOLUTION: 2014.35 in 9 sec. 57 SAFJ 121 47 0 0.1 0 0 9.2E-07 2014.35 58 AFG 121 47 0 0 45 0 2.2E-16 2028.81 58 FOUND SOLUTION: 2028.81 (NLP) in 12 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 121 47 0 0 1.7 1 0.00016 2028.83 60 AFH 122 48 0 0 1.8 1 4.1E-05 2028.82 61 AFH 123 49 0 0 8.9 1 1E-05 2028.81 62 AFH 124 50 0 0 8.5 1 2.6E-06 2028.81 63 AFJ 125 51 0 0 0.23 0 9.2E-07 2028.81 63 FOUND SOLUTION: 2028.81 in 24 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.37_RSyn0820M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2028.8119408212598955 Max constraint (35) : 2.2204460492503130808e-16 Alternative solution : MIP Alt. objective value : 2028.8125820022378321 Max constraint (21) : 9.2300852649884745915e-07 Time used (seconds) : 23.04 Time limit (seconds) : 7200 Iterations used : 63 Iteration limit : -1 Function evaluations : 3276 Gradient evaluations : 125 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 6.4 % MIP time usage : 93.5 % Optimal/total MIPs : 6/63 NLP solver calls : 64 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M03M.gms(3961) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M03M.gms Stop 09/14/12 14:38:03 elapsed 0:00:23.098 @04 1347626283 ----------------------------- Fr 14. Sep 14:38:03 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M04H.gms =========== ----------------------------- Fr 14. Sep 14:37:41 CEST 2012 ----------------------------- @03 1347626261 --- Job RSyn0820M04H.gms Start 09/14/12 14:37:41 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M04H.gms(7835) 3 Mb --- Starting execution: elapsed 0:00:00.050 --- RSyn0820M04H.gms(7833) 4 Mb --- Generating MINLP model m --- RSyn0820M04H.gms(7835) 7 Mb --- 3,529 rows 1,957 columns 8,393 non-zeroes --- 940 nl-code 168 nl-non-zeroes --- 416 discrete-columns --- RSyn0820M04H.gms(7835) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.084 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.38_RSyn0820M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 8393 elements of which 2% are non-linear(NL) included in 3529 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 160 from a total of 1957 variables: Continuous(1541), Binary(416), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=507 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (2662) infeasibile 0 H 0 0 0 1 0 56 0.11 NA 1 SAFG 56 1 0 1 4.3E+03 0 1.3E-14 653.104 1 FOUND SOLUTION: 653.104 (NLP) in 1 sec. 2 SAFH 56 1 0 1 1.6E+03 20 3.7 4998.71 3 SAFH 66 2 0 1 6.8E+02 23 2.2 4181.45 4 SAFH 77 3 0 1 8.9E+02 23 3 2933.32 5 SAFH 84 4 0 1 1.3E+02 18 0.84 1823.62 6 SAFG 98 5 0 1 4.1E+02 0 5.6E-17 657.957 6 FOUND SOLUTION: 657.957 (NLP) in 2 sec. 7 SAFH 98 5 0 1 2.2E+02 16 1.3 1986.84 8 SAFH 104 6 0 1 29 11 0.16 889.993 9 SAFH 113 7 0 1 1.3E+02 7 0.12 703.167 10 SAFH 114 8 0 1 6.2 7 0.033 686.193 11 SAFH 119 9 0 1 44 8 0.02 668.523 12 SAFH 120 10 0 1 1.5 8 0.013 666.24 13 SAFH 123 11 0 1 18 7 0.0053 662.885 14 SAFH 127 12 0 1 2.2 8 0.0051 659.579 15 SAFH 128 13 0 1 0.76 8 0.0018 659.092 16 SAFH 133 14 0 1 9.3 8 0.0014 658.331 17 SAFH 134 15 0 1 0.59 8 0.00076 658.331 18 SAFH 135 16 0 1 0.2 8 0.00045 658.269 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 136 17 0 1 3.9 8 0.00035 658.22 20 SAFH 137 18 0 1 0.23 8 0.00034 658.195 21 SAFH 138 19 0 1 0.047 8 0.00034 658.112 22 SAFH 139 20 0 1 0.21 8 0.00033 658.094 23 SAFH 140 21 0 1 0.19 8 0.00019 658.075 24 SAFH 141 22 0 1 0.073 8 0.00011 658.039 25 SAFH 142 23 0 1 1.9 8 0.00011 658.036 26 SAFH 143 24 0 1 0.16 8 8.6E-05 658.021 27 SAFH 144 25 0 1 0.14 8 8.3E-05 658.013 28 SAFH 145 26 0 1 0.096 8 4.6E-05 658.003 29 SAFH 146 27 0 1 0.036 8 2.8E-05 657.993 30 SAFH 147 28 0 1 0.97 8 2.7E-05 657.991 31 SAFH 148 29 0 1 0.08 8 2.2E-05 657.984 32 SAFH 149 30 0 1 0.07 8 5.7E-05 657.98 33 SAFH 150 31 0 1 0.083 7 2.1E-05 657.975 34 SAFH 151 32 0 1 0.048 7 2.2E-05 657.97 35 SAFH 152 33 0 1 0.07 7 1.4E-05 657.969 36 SAFH 153 34 0 1 0.041 8 1.2E-05 657.967 37 SAFH 154 35 0 1 0.028 8 7E-06 657.964 38 SAFH 155 36 0 1 0.49 8 6.7E-06 657.963 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 156 37 0 1 0.04 7 5.4E-06 657.962 40 SAFH 157 38 0 1 0.017 6 5.2E-06 657.961 41 SAFH 158 39 0 1 0.025 7 3.5E-06 657.96 42 SAFH 159 40 0 1 0.021 6 2.1E-06 657.959 43 SAFH 160 41 0 1 0.017 4 1.7E-06 657.959 44 SAFH 161 42 0 1 0.24 3 1.7E-06 657.959 45 SAFH 162 43 0 1 0.02 2 1.3E-06 657.958 46 SAFH 163 44 0 1 0.017 2 1.3E-06 657.958 47 SAFH 164 45 0 1 0.012 1 1.2E-06 657.958 48 SAFJL 165 46 0 1 0.017 0 9.2E-07 657.958 48 FOUND SOLUTION: 657.958 in 6 sec. 49 SAFG 109 45 0 0.5 3.6E+03 0 5.6E-17 2363.85 49 FOUND SOLUTION: 2363.85 (NLP) in 6 sec. 50 SAFH 109 45 0 0.5 1.5E+03 14 4.5 6551.51 51 SAFG 115 46 0 0.5 1.6E+03 0 4.8E-12 2403.97 51 FOUND SOLUTION: 2403.97 (NLP) in 7 sec. 52 SAFH 115 46 0 0.5 9.1E+02 15 2.6 6116.18 53 SAFH 119 47 0 0.5 9.1E+02 15 1.3 4731.89 54 SAFH 126 48 0 0.5 47 16 1.4 2882.07 55 SAFG 128 49 0 0.5 2.3E+02 0 6.5E-11 2409.71 55 FOUND SOLUTION: 2409.71 (NLP) in 7 sec. 56 SAFH 128 49 0 0.5 1.7E+02 8 0.57 2758.34 57 SAFG 130 50 0 0.5 2E+02 0 5.6E-17 2426.71 57 FOUND SOLUTION: 2426.71 (NLP) in 8 sec. 58 SAFH 130 50 0 0.5 1.7E+02 6 0.25 2637.95 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 136 51 0 0.5 2.9E+03 6 0.76 2634.15 60 SAFH 139 52 0 0.5 2.7E+03 3 0.05 2445.71 61 SAFH 142 53 0 0.5 48 3 0.011 2426.33 62 SAFH 145 54 0 0.5 1.8E+02 3 0.003 2427.35 63 SAFH 147 55 0 0.5 11 3 0.00076 2426.96 64 SAFH 148 56 0 0.5 5.6 3 0.00062 2426.93 65 SAFH 149 57 0 0.5 8.2 3 0.00057 2426.77 66 SAFH 150 58 0 0.5 8.3 3 0.00019 2426.77 67 SAFH 151 59 0 0.5 2.8 3 0.00014 2426.76 68 SAFH 152 60 0 0.5 1.8E+02 3 0.00019 2419.84 69 SAFH 153 61 0 0.5 1.8E+02 3 0.00011 2426.76 70 SAFH 154 62 0 0.5 0.00092 2 4.8E-05 2426.73 71 SAFH 155 63 0 0.5 1.8E+02 2 4.7E-05 2419.8 72 SAFH 156 64 0 0.5 1.4 2 3.5E-05 2419.8 73 SAFH 157 65 0 0.5 0.075 3 1.5E-05 2419.8 74 SAFH 158 66 0 0.5 0.038 3 1.2E-05 2419.79 75 SAFH 159 67 0 0.5 1.8E+02 3 1.2E-05 2426.71 76 SAFH 160 68 0 0.5 0.71 3 3.8E-06 2426.71 77 SAFH 161 69 0 0.5 0.019 2 4.9E-06 2426.71 78 SAFH 162 70 0 0.5 1.8E+02 2 2.9E-06 2419.79 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 163 71 0 0.5 1.8E+02 2 3E-06 2426.71 80 SAFH 164 72 0 0.5 0.36 1 1.2E-06 2426.71 81 SAFJ 165 73 0 0.5 1.8E+02 0 9.2E-07 2419.79 82 SAFJ 165 73 0 0.3 0 0 9.2E-07 2419.79 83 SAFJ 165 73 0 0.2 0 0 9.2E-07 2419.79 84 SAFJ 165 73 0 0.1 0 0 9.2E-07 2419.79 85 AFG 165 73 0 0 1.5E+03 0 4.4E-16 2431.67 85 FOUND SOLUTION: 2431.67 (NLP) in 11 sec. 86 AFH 165 73 0 0 3.5E+02 4 0.13 2492.69 87 AFG 168 74 0 0 1.6E+03 0 1.1E-16 2450.77 87 FOUND SOLUTION: 2450.77 (NLP) in 11 sec. 88 AFH 168 74 0 0 38 1 0.014 2451.03 89 AFH 169 75 0 0 27 1 0.0033 2450.93 90 AFH 170 76 0 0 12 1 0.0008 2450.87 91 AFG 171 77 0 0 63 0 0 2450.77 91 FOUND SOLUTION: 2450.77 (NLP) in 12 sec. 92 AFJ 171 77 0 0 0.076 0 9.2E-07 2450.77 92 FOUND SOLUTION: 2450.77 in 12 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.38_RSyn0820M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2450.7732195218040943 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 2450.7738233038717226 Max constraint (25) : 9.228512236943477125e-07 Time used (seconds) : 11.60 Time limit (seconds) : 7200 Iterations used : 92 Iteration limit : -1 Function evaluations : 9856 Gradient evaluations : 227 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 45.6 % MIP time usage : 54.2 % Optimal/total MIPs : 8/92 NLP solver calls : 93 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M04H.gms(7835) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M04H.gms Stop 09/14/12 14:37:53 elapsed 0:00:11.718 @04 1347626273 ----------------------------- Fr 14. Sep 14:37:53 CEST 2012 ----------------------------- =ready= Linux opt232 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M04M.gms =========== ----------------------------- Fr 14. Sep 14:37:43 CEST 2012 ----------------------------- @03 1347626263 --- Job RSyn0820M04M.gms Start 09/14/12 14:37:43 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M04M.gms(5826) 3 Mb --- Starting execution: elapsed 0:00:00.019 --- RSyn0820M04M.gms(5824) 3 Mb --- Generating MINLP model m --- RSyn0820M04M.gms(5826) 6 Mb --- 2,677 rows 1,021 columns 6,631 non-zeroes --- 380 nl-code 56 nl-non-zeroes --- 416 discrete-columns --- RSyn0820M04M.gms(5826) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.031 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.39_RSyn0820M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 6631 elements of which 1% are non-linear(NL) included in 2677 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 56 from a total of 1021 variables: Continuous(605), Binary(416), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=329 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 4E+03 0 8.4E-12 2235.51 1 FOUND SOLUTION: 2235.51 (NLP) in 1 sec. 2 SAFH 0 0 0 1 1.3E+03 35 4.5 10069.2 3 SAFH 12 1 0 1 6.3E+02 39 2.6 9199.25 4 SAFH 19 2 0 1 1.2E+03 36 3.7 8839.42 5 SAFH 23 3 0 1 8.6E+02 36 2.2 8432.42 6 SAFH 39 4 0 1 1.8E+03 40 2.8 7528.32 7 SAFG 47 5 0 1 1.1E+03 0 4E-11 2253.65 7 FOUND SOLUTION: 2253.65 (NLP) in 2 sec. 8 SAFH 47 5 0 1 8.6E+02 27 1.4 5729.26 9 SAFH 62 6 0 1 3.4E+02 21 1.4 3566.52 10 SAFH 71 7 0 1 1.2E+03 16 0.57 2949.72 11 SAFG 75 8 0 1 2.3E+02 0 3.6E-11 2295.66 11 FOUND SOLUTION: 2295.66 (NLP) in 3 sec. 12 SAFH 75 8 0 1 1.3E+02 12 0.22 2757.72 13 SAFH 87 9 0 1 4.3E+02 15 0.059 2386.51 14 SAFH 99 10 0 1 4.1E+02 14 0.035 2160.26 15 SAFH 101 11 0 1 15 13 0.016 2160.48 16 SAFH 108 12 0 1 4.4E+02 13 0.008 2158.44 17 SAFH 111 13 0 1 36 13 0.0029 2174.8 18 SAFH 120 14 0 1 2.6E+02 9 0.0015 1845.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 121 15 0 1 1.9E+02 8 0.0007 2173.65 20 SAFH 122 16 0 1 0.14 9 0.00065 2173.53 21 SAFH 123 17 0 1 92 9 0.00062 2276.16 22 SAFH 124 18 0 1 0.12 9 0.00061 2276.01 23 SAFH 125 19 0 1 0.16 9 0.00053 2276 24 SAFH 126 20 0 1 0.17 9 0.00097 2275.79 25 SAFH 127 21 0 1 84 8 0.00047 1837.62 26 SAFH 128 22 0 1 0.058 9 0.00037 1837.55 27 SAFH 129 23 0 1 0.15 10 0.00024 1837.55 28 SAFH 130 24 0 1 84 10 0.0002 2275.69 29 SAFH 131 25 0 1 0.00094 9 0.00018 2275.64 30 SAFH 132 26 0 1 0.073 9 0.00016 2275.62 31 SAFH 133 27 0 1 25 9 0.00015 2288.6 32 SAFH 134 28 0 1 23 9 0.00013 2275.59 33 SAFH 135 29 0 1 0.00052 8 0.00012 2275.56 34 SAFH 136 30 0 1 89 8 9.2E-05 2172.85 35 SAFH 137 31 0 1 4E+02 12 0.0039 2097.36 36 SAFH 140 32 0 1 66 12 0.00095 2058.35 37 SAFH 141 33 0 1 7.2 12 0.00095 2058.21 38 SAFH 142 34 0 1 7.1 12 0.0009 2058.16 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 143 35 0 1 6.5 12 0.00024 2058.12 40 SAFH 144 36 0 1 3.6 12 0.00023 2058.09 41 SAFH 145 37 0 1 3.5 12 0.00023 2058.07 42 SAFH 146 38 0 1 4.9E+02 9 5.9E-05 2246.87 43 SAFH 147 39 0 1 4.9E+02 12 6E-05 2094.38 44 SAFH 148 40 0 1 6.4E+02 12 5.8E-05 1519.82 45 SAFH 149 41 0 1 38 12 5.7E-05 1573.38 46 SAFH 150 42 0 1 1.1E+03 9 4.7E-05 2246.87 47 SAFH 151 43 0 1 1.2E+03 12 4.4E-05 1474.12 48 SAFH 152 44 0 1 6.8E+02 12 5.8E-05 2094.34 49 SAFH 153 45 0 1 4.2E+02 9 4E-05 2198.93 50 SAFH 154 46 0 1 69 9 3.7E-05 2246.85 51 SAFH 155 47 0 1 4.9E+02 13 2.9E-05 2057.99 52 SAFH 156 48 0 1 7E+02 13 1.6E-05 1477.91 53 SAFH 157 49 0 1 6.4E-05 12 1.5E-05 1477.91 54 SAFH 158 50 0 1 4.6E+02 9 1.5E-05 1523.12 55 SAFH 159 51 0 1 4.2E+02 12 1.5E-05 1420.52 56 SAFH 160 52 0 1 7.2E+02 12 1.4E-05 2057.98 57 SAFH 161 53 0 1 1.2E+03 8 4E-05 1944.32 58 SAFH 162 54 0 1 6E+02 8 1.2E-05 2266.95 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 163 55 0 1 0.019 8 1.3E-05 2266.95 60 SAFG 164 56 0 1 88 0 0 2385.67 60 FOUND SOLUTION: 2385.67 (NLP) in 12 sec. 61 SAFH 164 56 0 1 0.77 7 1.1E-05 2385.68 62 SAFH 165 57 0 1 5.7E+02 7 1.1E-05 1944.32 63 SAFH 166 58 0 1 6.7E+02 9 0.0093 2227.17 64 SAFH 167 59 0 1 1.6E+02 6 1E-05 2385.68 65 SAFH 168 60 0 1 6.2E+02 6 9.3E-06 1881.6 66 SAFH 169 61 0 1 6.2E+02 7 3.8E-06 2385.68 67 SAFH 170 62 0 1 1.5E-05 6 3.7E-06 2385.68 68 SAFH 171 63 0 1 23 6 3.2E-06 2372.68 69 SAFH 172 64 0 1 0.01 6 2.9E-06 2372.68 70 SAFH 173 65 0 1 0.0094 5 2.8E-06 2372.67 71 SAFH 174 66 0 1 0.0091 4 2.6E-06 2372.67 72 SAFH 175 67 0 1 23 2 2.5E-06 2385.67 73 SAFH 176 68 0 1 9.5E+02 2 1E-05 1754.48 74 SAFH 177 69 0 1 1.8E+02 2 2.5E-06 1670.04 75 SAFH 178 70 0 1 1E+03 1 2.3E-06 2372.67 76 SAFJ 179 71 0 1 6.3E+02 0 9.6E-07 1851.58 77 SAFG 179 71 0 0.5 6.3E+02 0 2.2E-16 2442.88 77 FOUND SOLUTION: 2442.88 (NLP) in 15 sec. 78 SAFJ 179 71 0 0.5 0.061 0 9.6E-07 2442.88 78 FOUND SOLUTION: 2442.88 in 15 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFG 179 71 0 0.3 52 0 4.4E-16 2450.77 79 FOUND SOLUTION: 2450.77 (NLP) in 16 sec. 80 SAFJ 179 71 0 0.3 0.061 0 9.6E-07 2450.77 80 FOUND SOLUTION: 2450.77 in 17 sec. 81 SAFJ 179 71 0 0.2 0 0 9.6E-07 2450.77 82 SAFJ 179 71 0 0.1 0 0 9.6E-07 2450.77 83 AFJ 179 71 0 0 0 0 9.6E-07 2450.77 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.39_RSyn0820M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2450.7722008499404183 Max constraint (5) : 4.4408920985006261617e-16 Alternative solution : MIP Alt. objective value : 2450.7733359559388191 Max constraint (26) : 9.5633412344753310208e-07 Time used (seconds) : 26.00 Time limit (seconds) : 7200 Iterations used : 83 Iteration limit : -1 Function evaluations : 6720 Gradient evaluations : 179 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 10.1 % MIP time usage : 89.9 % Optimal/total MIPs : 1/83 NLP solver calls : 84 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M04M.gms(5826) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M04M.gms Stop 09/14/12 14:38:09 elapsed 0:00:26.056 @04 1347626289 ----------------------------- Fr 14. Sep 14:38:09 CEST 2012 ----------------------------- =ready= Linux opt231 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0820M.gms =========== ----------------------------- Fr 14. Sep 14:37:44 CEST 2012 ----------------------------- @03 1347626264 --- Job RSyn0820M.gms Start 09/14/12 14:37:44 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0820M.gms(853) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- RSyn0820M.gms(851) 3 Mb --- Generating MINLP model m --- RSyn0820M.gms(853) 5 Mb --- 372 rows 216 columns 976 non-zeroes --- 95 nl-code 14 nl-non-zeroes --- 84 discrete-columns --- RSyn0820M.gms(853) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.40_RSyn0820M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 976 elements of which 1% are non-linear(NL) included in 372 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 216 variables: Continuous(132), Binary(84), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=51 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.1E+03 0 5.4E-14 907.248 1 FOUND SOLUTION: 907.248 (NLP) in 1 sec. 2 SAFH 0 0 0 1 3.9E+02 9 2.4 3629.03 3 SAFG 4 1 0 1 4E+02 0 2E-11 1032.42 3 FOUND SOLUTION: 1032.42 (NLP) in 1 sec. 4 SAFH 4 1 0 1 3.2E+02 9 2.9 3121.34 5 SAFH 5 2 0 1 88 9 1.2 2965.96 6 SAFH 11 3 0 1 1.2E+02 9 2 2483.08 7 SAFH 14 4 0 1 33 9 0.64 1653.47 8 SAFH 18 5 0 1 1E+02 7 0.66 1107.86 9 SAFH 19 6 0 1 43 7 0.12 1092.03 10 SAFH 25 7 0 1 36 8 0.079 968.108 11 SAFH 26 8 0 1 2.4 8 0.038 949.631 12 SAFH 29 9 0 1 3.3 8 0.017 926.888 13 SAFH 33 10 0 1 4.4 8 0.0071 914.196 14 SAFH 37 11 0 1 3.8 6 0.0024 907.145 15 SAFH 40 12 0 1 1.4 8 0.001 906.29 16 SAFH 42 13 0 1 0.72 6 0.00059 905.729 17 SAFH 43 14 0 1 0.15 6 0.0005 905.581 18 SAFH 44 15 0 1 0.19 6 0.00025 905.446 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 45 16 0 1 0.12 6 0.00013 905.384 20 SAFH 46 17 0 1 0.096 6 6.3E-05 905.315 21 SAFH 47 18 0 1 0.057 6 3.9E-05 905.284 22 SAFH 48 19 0 1 0.0015 5 3.2E-05 905.272 23 SAFH 49 20 0 1 0.048 5 4.1E-05 905.262 24 SAFH 50 21 0 1 0.039 5 1E-05 905.257 25 SAFH 51 22 0 1 0.019 4 7.9E-06 905.255 26 SAFH 52 23 0 1 0.01 5 2.6E-06 905.252 27 SAFH 53 24 0 1 0.0048 3 2.6E-06 905.251 28 SAFH 54 25 0 1 0.0096 3 2.2E-06 905.251 29 SAFH 55 26 0 1 6.2E-05 2 1.8E-06 905.25 30 SAFH 56 27 0 1 0.00056 1 1.7E-06 905.25 31 SAFJ 57 28 0 1 0.011 0 6.6E-07 905.249 32 SAFH 57 28 0 0.5 3.1E+02 5 1.4 1124.34 33 SAFH 58 29 0 0.5 1.1E+02 5 0.48 1077.38 34 SAFH 59 30 0 0.5 2.8E+02 1 0.019 908.432 35 SAFJ 60 31 0 0.5 0.72 0 6.6E-07 903.19 36 SAFJ 60 31 0 0.3 0 0 6.6E-07 903.19 37 SAFJ 60 31 0 0.2 0 0 6.6E-07 903.19 38 SAFJ 60 31 0 0.1 0 0 6.6E-07 903.19 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 60 31 0 0 2.5E+02 0 2.4E-13 1150.3 39 FOUND SOLUTION: 1150.3 (NLP) in 2 sec. 40 AFH 60 31 0 0 0.93 5 0.0019 1150.94 41 AFH 61 32 0 0 0.069 4 0.00039 1150.43 42 AFH 62 33 0 0 0.88 4 9.8E-05 1150.35 43 AFH 63 34 0 0 0.44 4 6.8E-05 1150.34 44 AFH 64 35 0 0 0.66 3 1.7E-05 1150.31 45 AFH 65 36 0 0 0.33 4 3.8E-05 1150.31 46 AFH 66 37 0 0 0.0019 3 1.4E-05 1150.3 47 AFH 67 38 0 0 0.19 2 3.6E-06 1150.3 48 AFH 68 39 0 0 0.093 2 3.8E-06 1150.3 49 AFH 69 40 0 0 0.085 1 1.4E-06 1150.3 50 AFJ 70 41 0 0 7E-05 0 9.4E-07 1150.3 50 FOUND SOLUTION: 1150.3 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.40_RSyn0820M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1150.3005284031796691 Max constraint (7) : 2.3669954885008337442e-13 Alternative solution : MIP Alt. objective value : 1150.3016340529256922 Max constraint (3) : 9.4306167253144224105e-07 Time used (seconds) : 2.28 Time limit (seconds) : 7200 Iterations used : 50 Iteration limit : -1 Function evaluations : 1288 Gradient evaluations : 70 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.4 % NLP time usage : 18.3 % MIP time usage : 81.3 % Optimal/total MIPs : 12/50 NLP solver calls : 51 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0820M.gms(853) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0820M.gms Stop 09/14/12 14:37:46 elapsed 0:00:02.314 @04 1347626266 ----------------------------- Fr 14. Sep 14:37:46 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840H.gms =========== ----------------------------- Fr 14. Sep 14:37:46 CEST 2012 ----------------------------- @03 1347626266 --- Job RSyn0840H.gms Start 09/14/12 14:37:46 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840H.gms(1905) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- RSyn0840H.gms(1903) 3 Mb --- Generating MINLP model m --- RSyn0840H.gms(1905) 5 Mb --- 838 rows 569 columns 1,994 non-zeroes --- 470 nl-code 84 nl-non-zeroes --- 72 discrete-columns --- RSyn0840H.gms(1905) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.41_RSyn0840H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1994 elements of which 4% are non-linear(NL) included in 838 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 80 from a total of 569 variables: Continuous(497), Binary(72), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=134 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (530) infeasibile 0 H 0 0 0 1 0 28 0.11 NA 1 SAFG 28 1 0 1 8.9E+02 0 3.3E-12 -167.455 1 FOUND SOLUTION: -167.455 (NLP) in 1 sec. 2 SAFH 28 1 0 1 1.3E+02 17 3.7 1490.37 3 SAFG 33 2 0 1 4E+02 0 3.8E-10 -141.928 3 FOUND SOLUTION: -141.928 (NLP) in 1 sec. 4 SAFH 33 2 0 1 1.3E+02 18 1.3 1285.6 5 SAFH 44 3 0 1 58 21 3 986.526 6 SAFG 47 4 0 1 3.5E+02 0 6.9E-12 -121.178 6 FOUND SOLUTION: -121.178 (NLP) in 1 sec. 7 SAFH 47 4 0 1 93 18 1.3 311.318 8 SAFH 50 5 0 1 3.3E+02 15 0.98 174.136 9 SAFH 53 6 0 1 1.7E+02 8 0.39 119.329 10 SAFH 59 7 0 1 3.1E+02 13 0.48 -69.2148 11 SAFH 60 8 0 1 2.2 12 0.16 -124.123 12 SAFH 62 9 0 1 44 8 0.06 -133.141 13 SAFH 66 10 0 1 25 8 0.027 -166.805 14 SAFH 69 11 0 1 27 8 0.026 -173.246 15 SAFH 70 12 0 1 28 8 0.012 -173.538 16 SAFH 73 13 0 1 4.8 7 0.0084 -175.62 17 SAFH 74 14 0 1 9 8 0.0034 -175.701 18 SAFH 77 15 0 1 1.4 8 0.0016 -176.832 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 79 16 0 1 6.8 8 0.00081 -176.947 20 SAFH 80 17 0 1 5.4 8 0.00083 -177.042 21 SAFH 81 18 0 1 7.5 8 0.002 -177.248 22 SAFH 83 19 0 1 10 7 0.00038 -177.27 23 SAFH 84 20 0 1 2.3 8 0.00039 -177.332 24 SAFH 85 21 0 1 3.1 7 0.00028 -177.34 25 SAFH 86 22 0 1 0.1 7 0.0002 -177.368 26 SAFH 87 23 0 1 0.079 8 9.6E-05 -177.377 27 SAFH 88 24 0 1 0.5 8 9.5E-05 -177.385 28 SAFH 89 25 0 1 2 8 9.5E-05 -177.398 29 SAFH 90 26 0 1 0.058 7 6.3E-05 -177.41 30 SAFH 91 27 0 1 3.1 7 0.00014 -177.429 31 SAFH 92 28 0 1 1.2 7 5.1E-05 -177.43 32 SAFH 93 29 0 1 0.74 8 2.4E-05 -177.44 33 SAFH 94 30 0 1 0.033 8 2.3E-05 -177.442 34 SAFH 95 31 0 1 1.2 8 5E-05 -177.444 35 SAFH 96 32 0 1 1.8 6 2.9E-05 -177.446 36 SAFH 97 33 0 1 0.0024 5 1.6E-05 -177.447 37 SAFH 98 34 0 1 0.028 4 1.3E-05 -177.451 38 SAFH 99 35 0 1 0.89 6 5.7E-06 -177.452 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 100 36 0 1 0.016 7 4.3E-06 -177.453 40 SAFH 101 37 0 1 0.32 8 6.8E-06 -177.453 41 SAFH 102 38 0 1 0.00055 7 3.9E-06 -177.453 42 SAFH 103 39 0 1 0.014 6 5.3E-06 -177.454 43 SAFH 104 40 0 1 0.013 6 1.4E-06 -177.454 44 SAFH 105 41 0 1 0.0077 4 1.3E-06 -177.454 45 SAFH 106 42 0 1 0.0065 3 1.3E-06 -177.455 46 SAFH 107 43 0 1 0.28 1 2E-06 -177.455 47 SAFJL 108 44 0 1 0.14 0 5E-07 -177.455 48 SAFG 80 43 0 0.5 1.2E+03 0 6E-14 325.132 48 FOUND SOLUTION: 325.132 (NLP) in 2 sec. 49 SAFH 80 43 0 0.5 64 6 4.5 357.908 50 SAFG 81 44 0 0.5 75 0 1.1E-16 325.555 50 FOUND SOLUTION: 325.555 (NLP) in 2 sec. 51 SAFH 81 44 0 0.5 2.9 6 0.00083 325.695 52 SAFH 82 45 0 0.5 9.2 6 0.00075 325.6 53 SAFH 83 46 0 0.5 4 6 0.00019 325.593 54 SAFH 84 47 0 0.5 1.9 5 0.00051 325.588 55 SAFH 85 48 0 0.5 0.16 4 5.5E-05 325.576 56 SAFH 86 49 0 0.5 0.0012 3 4.8E-05 325.567 57 SAFH 87 50 0 0.5 1 6 3.9E-05 325.565 58 SAFH 88 51 0 0.5 0.62 4 1.7E-05 325.564 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 89 52 0 0.5 1.5 6 4E-05 325.56 60 SAFH 90 53 0 0.5 2 4 1.1E-05 325.556 61 SAFH 91 54 0 0.5 0.5 4 7.8E-06 325.556 62 SAFH 92 55 0 0.5 0.00062 3 5.8E-06 325.556 63 SAFH 93 56 0 0.5 0.00011 2 2.7E-06 325.555 64 SAFH 94 57 0 0.5 0.25 1 1.6E-06 325.555 65 SAFJ 95 58 0 0.5 0.00012 0 6.7E-07 325.555 65 FOUND SOLUTION: 325.555 in 3 sec. 66 SAFJ 95 58 0 0.3 0 0 6.7E-07 325.555 67 SAFJ 95 58 0 0.2 0 0 6.7E-07 325.555 68 SAFJ 95 58 0 0.1 0 0 6.7E-07 325.555 69 AFH 95 58 0 0 28 6 0.24 328.928 70 AFJ 96 59 0 0 28 0 6.7E-07 325.555 70 FOUND SOLUTION: 325.555 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.41_RSyn0840H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 325.55456206968938204 Max constraint (7) : 1.1102241348481810742e-16 Alternative solution : MIP Alt. objective value : 325.55470271891249467 Max constraint (7) : 6.6877655699989289145e-07 Time used (seconds) : 2.41 Time limit (seconds) : 7200 Iterations used : 70 Iteration limit : -1 Function evaluations : 3360 Gradient evaluations : 124 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 46.8 % MIP time usage : 52.7 % Optimal/total MIPs : 2/70 NLP solver calls : 71 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840H.gms(1905) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840H.gms Stop 09/14/12 14:37:48 elapsed 0:00:02.449 @04 1347626268 ----------------------------- Fr 14. Sep 14:37:48 CEST 2012 ----------------------------- =ready= Linux opt231 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M02H.gms =========== ----------------------------- Fr 14. Sep 14:37:46 CEST 2012 ----------------------------- @03 1347626266 --- Job RSyn0840M02H.gms Start 09/14/12 14:37:46 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M02H.gms(4738) 3 Mb --- Starting execution: elapsed 0:00:00.016 --- RSyn0840M02H.gms(4736) 3 Mb --- Generating MINLP model m --- RSyn0840M02H.gms(4738) 6 Mb --- 2,107 rows 1,361 columns 4,947 non-zeroes --- 940 nl-code 168 nl-non-zeroes --- 288 discrete-columns --- RSyn0840M02H.gms(4738) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.026 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.42_RSyn0840M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4947 elements of which 3% are non-linear(NL) included in 2107 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 160 from a total of 1361 variables: Continuous(1073), Binary(288), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=318 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1210) infeasibile 0 H 0 0 0 1 0 56 0.11 NA 1 SAFG 56 1 0 1 1.7E+03 0 6.4E-11 -206.849 1 FOUND SOLUTION: -206.849 (NLP) in 1 sec. 2 SAFH 56 1 0 1 1.8E+02 16 2.4 1738.72 3 SAFH 66 2 0 1 55 18 1.1 1250.96 4 SAFH 74 3 0 1 39 18 2 1250.96 5 SAFH 78 4 0 1 61 16 0.83 640.765 6 SAFG 86 5 0 1 2.2E+02 0 2.9E-10 -184.06 6 FOUND SOLUTION: -184.06 (NLP) in 1 sec. 7 SAFH 86 5 0 1 1.9E+02 24 1.7 716.174 8 SAFH 88 6 0 1 1.7E+02 17 0.38 290.814 9 SAFH 91 7 0 1 21 12 0.16 165.896 10 SAFG 102 8 0 1 68 0 2.1E-13 -183.986 10 FOUND SOLUTION: -183.986 (NLP) in 1 sec. 11 SAFH 102 8 0 1 1.3E+02 28 0.73 1036.16 12 SAFH 108 9 0 1 3E+02 14 0.23 -82.4352 13 SAFH 112 10 0 1 1.9E+02 15 0.033 -115.426 14 SAFH 123 11 0 1 98 15 0.036 -156.143 15 SAFH 126 12 0 1 81 15 0.072 -163.565 16 SAFH 127 13 0 1 22 15 0.031 -163.728 17 SAFH 129 14 0 1 23 15 0.0083 -170.762 18 SAFH 135 15 0 1 29 15 0.0063 -176.38 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 141 16 0 1 43 16 0.0052 -179.27 20 SAFH 143 17 0 1 13 16 0.0016 -180.608 21 SAFH 147 18 0 1 17 16 0.0021 -182.053 22 SAFH 149 19 0 1 5.1 16 0.00089 -182.41 23 SAFH 150 20 0 1 3.8 15 0.00083 -182.52 24 SAFH 151 21 0 1 0.2 15 0.00089 -182.702 25 SAFH 152 22 0 1 6.3 16 0.0011 -182.899 26 SAFH 153 23 0 1 9.9 16 0.00077 -183.107 27 SAFH 154 24 0 1 8.1 16 0.0014 -183.14 28 SAFH 156 25 0 1 3.9 15 0.00052 -183.31 29 SAFH 157 26 0 1 2.3 14 0.00039 -183.321 30 SAFH 158 27 0 1 0.12 14 0.00037 -183.431 31 SAFH 159 28 0 1 0.12 14 0.00036 -183.578 32 SAFH 160 29 0 1 0.11 14 0.00033 -183.638 33 SAFH 161 30 0 1 3.7 14 0.00022 -183.694 34 SAFH 162 31 0 1 0.084 15 0.00019 -183.789 35 SAFH 163 32 0 1 3.6 14 0.00033 -183.811 36 SAFH 164 33 0 1 0.33 14 0.00013 -183.826 37 SAFH 165 34 0 1 1.1 13 9.8E-05 -183.831 38 SAFH 166 35 0 1 0.058 13 9.9E-05 -183.831 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 167 36 0 1 3.2 14 0.00015 -183.84 40 SAFH 168 37 0 1 3.2 12 9E-05 -183.877 41 SAFH 169 38 0 1 0.057 11 8.2E-05 -183.9 42 SAFH 170 39 0 1 0.056 12 6.9E-05 -183.936 43 SAFH 171 40 0 1 0.057 12 4.8E-05 -183.943 44 SAFH 172 41 0 1 2 13 6.1E-05 -183.944 45 SAFH 173 42 0 1 0.0054 12 4.3E-05 -183.947 46 SAFH 174 43 0 1 1 13 2.5E-05 -183.949 47 SAFH 175 44 0 1 0.029 13 2.2E-05 -183.95 48 SAFH 176 45 0 1 0.028 13 2.1E-05 -183.952 49 SAFH 177 46 0 1 0.028 12 1.7E-05 -183.956 50 SAFH 178 47 0 1 0.029 12 1.6E-05 -183.96 51 SAFH 179 48 0 1 0.82 14 1.5E-05 -183.964 52 SAFH 180 49 0 1 0.41 13 1.5E-05 -183.964 53 SAFH 181 50 0 1 0.00027 12 1.1E-05 -183.968 54 SAFH 182 51 0 1 0.52 11 1.2E-05 -183.969 55 SAFH 183 52 0 1 1 13 9.1E-06 -183.972 56 SAFH 184 53 0 1 0.76 10 7.6E-06 -183.973 57 SAFH 185 54 0 1 0.79 12 1.5E-05 -183.974 58 SAFH 186 55 0 1 0.66 9 6.1E-06 -183.975 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 187 56 0 1 0.015 10 5.1E-06 -183.975 60 SAFH 188 57 0 1 0.014 10 5E-06 -183.978 61 SAFH 189 58 0 1 2.7E-05 9 4.3E-06 -183.979 62 SAFH 190 59 0 1 0.014 9 4.1E-06 -183.981 63 SAFH 191 60 0 1 0.013 10 4.1E-06 -183.981 64 SAFH 192 61 0 1 0.012 9 3.6E-06 -183.982 65 SAFH 193 62 0 1 0.13 8 3.8E-06 -183.983 66 SAFH 194 63 0 1 0.2 7 3.1E-06 -183.983 67 SAFH 195 64 0 1 0.00025 6 2.3E-06 -183.983 68 SAFH 196 65 0 1 4.2E-05 5 2.3E-06 -183.984 69 SAFH 197 66 0 1 0.38 4 1.5E-06 -183.984 70 SAFH 198 67 0 1 0.21 3 1.3E-06 -183.984 71 SAFH 199 68 0 1 0.0071 2 1.1E-06 -183.985 72 SAFH 200 69 0 1 0.0072 1 1E-06 -183.985 73 SAFJL 201 70 0 1 0.006 0 9.6E-07 -183.985 73 FOUND SOLUTION: -183.985 in 5 sec. 74 SAFG 145 69 0 0.5 2.4E+03 0 0 700.312 74 FOUND SOLUTION: 700.312 (NLP) in 6 sec. 75 SAFH 145 69 0 0.5 1.8E+02 23 2.9 1842.07 76 SAFH 147 70 0 0.5 1.4E+02 23 0.78 1764.24 77 SAFG 153 71 0 0.5 59 0 2.2E-16 701.677 77 FOUND SOLUTION: 701.677 (NLP) in 6 sec. 78 SAFH 153 71 0 0.5 2E+02 21 0.85 947.384 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFG 157 72 0 0.5 2.3E+02 0 3.1E-11 714.677 79 FOUND SOLUTION: 714.677 (NLP) in 6 sec. 80 SAFH 157 72 0 0.5 14 15 0.33 897.845 81 SAFH 159 73 0 0.5 2 17 0.33 897.845 82 SAFG 161 74 0 0.5 42 0 5.6E-17 731.677 82 FOUND SOLUTION: 731.677 (NLP) in 6 sec. 83 SAFH 161 74 0 0.5 13 13 0.062 763.095 84 SAFG 164 75 0 0.5 14 0 6.3E-12 732.312 84 FOUND SOLUTION: 732.312 (NLP) in 7 sec. 85 SAFH 164 75 0 0.5 27 17 0.029 748.016 86 SAFH 166 76 0 0.5 15 17 0.012 744.035 87 SAFH 168 77 0 0.5 8.7 14 0.0026 734.63 88 SAFH 173 78 0 0.5 7.4 16 0.0011 733.482 89 SAFH 174 79 0 0.5 6.9 15 0.00045 733.31 90 SAFH 175 80 0 0.5 2.3 16 0.00041 733.282 91 SAFH 176 81 0 0.5 0.58 16 0.0004 733.243 92 SAFH 177 82 0 0.5 0.12 16 0.00036 733.072 93 SAFH 178 83 0 0.5 1 17 0.00036 733.022 94 SAFH 179 84 0 0.5 0.11 17 0.00038 732.9 95 SAFH 180 85 0 0.5 4.2 17 0.00041 732.834 96 SAFH 181 86 0 0.5 5.9 17 0.00033 732.722 97 SAFH 182 87 0 0.5 0.024 16 0.00029 732.709 98 SAFH 183 88 0 0.5 0.019 15 0.00027 732.698 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 184 89 0 0.5 4.7 16 0.00032 732.666 100 SAFH 185 90 0 0.5 3 14 0.0001 732.615 101 SAFH 186 91 0 0.5 1.7 14 0.00018 732.565 102 SAFH 187 92 0 0.5 2.9 15 0.00011 732.55 103 SAFH 188 93 0 0.5 0.34 15 0.00011 732.534 104 SAFH 189 94 0 0.5 0.068 15 0.0001 732.534 105 SAFH 190 95 0 0.5 0.059 15 0.0001 732.499 106 SAFH 191 96 0 0.5 0.06 16 9.6E-05 732.462 107 SAFH 192 97 0 0.5 0.061 15 8.4E-05 732.412 108 SAFH 193 98 0 0.5 0.93 14 8E-05 732.41 109 SAFH 194 99 0 0.5 0.059 15 6.8E-05 732.394 110 SAFH 195 100 0 0.5 0.81 15 4.8E-05 732.393 111 SAFH 196 101 0 0.5 0.81 14 4.5E-05 732.379 112 SAFH 197 102 0 0.5 1.6 13 2.7E-05 732.371 113 SAFH 198 103 0 0.5 0.034 14 2.6E-05 732.37 114 SAFH 199 104 0 0.5 0.03 14 2.5E-05 732.363 115 SAFH 200 105 0 0.5 0.03 15 2.4E-05 732.354 116 SAFH 201 106 0 0.5 0.031 14 2.4E-05 732.35 117 SAFH 202 107 0 0.5 1.4 16 2.4E-05 732.345 118 SAFH 203 108 0 0.5 1.4 13 2.1E-05 732.34 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 204 109 0 0.5 0.24 13 2.3E-05 732.339 120 SAFH 205 110 0 0.5 0.72 14 1.9E-05 732.336 121 SAFH 206 111 0 0.5 0.65 14 1.9E-05 732.336 122 SAFH 207 112 0 0.5 0.64 13 1.1E-05 732.331 123 SAFH 208 113 0 0.5 0.64 13 1.1E-05 732.33 124 SAFH 209 114 0 0.5 0.94 12 1E-05 732.328 125 SAFH 210 115 0 0.5 0.00065 11 6.6E-06 732.328 126 SAFH 211 116 0 0.5 0.017 12 6.4E-06 732.327 127 SAFH 212 117 0 0.5 0.015 12 7.8E-06 732.325 128 SAFH 213 118 0 0.5 0.019 11 6.2E-06 732.324 129 SAFH 214 119 0 0.5 0.015 11 6E-06 732.322 130 SAFH 215 120 0 0.5 0.015 12 5.3E-06 732.32 131 SAFH 216 121 0 0.5 0.23 13 5.2E-06 732.32 132 SAFH 217 122 0 0.5 0.78 11 7.1E-06 732.319 133 SAFH 218 123 0 0.5 0.016 10 4.9E-06 732.318 134 SAFH 219 124 0 0.5 0.17 9 2.8E-06 732.317 135 SAFH 220 125 0 0.5 0.41 9 3.3E-06 732.317 136 SAFH 221 126 0 0.5 0.53 8 2.7E-06 732.317 137 SAFH 222 127 0 0.5 0.32 8 2.2E-06 732.316 138 SAFH 223 128 0 0.5 0.15 7 2E-06 732.316 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 224 129 0 0.5 0.0094 6 1.8E-06 732.316 140 SAFH 225 130 0 0.5 0.0082 5 1.7E-06 732.315 141 SAFH 226 131 0 0.5 0.24 5 1.6E-06 732.315 142 SAFH 227 132 0 0.5 0.24 4 1.5E-06 732.314 143 SAFH 228 133 0 0.5 0.0078 3 1.4E-06 732.314 144 SAFH 229 134 0 0.5 0.29 2 2.2E-06 732.314 145 SAFH 230 135 0 0.5 0.24 1 1.3E-06 732.314 146 SAFJ 231 136 0 0.5 0.0068 0 8.3E-07 732.313 146 FOUND SOLUTION: 732.313 in 11 sec. 147 SAFJ 231 136 0 0.3 0 0 8.3E-07 732.313 148 SAFJ 231 136 0 0.2 0 0 8.3E-07 732.313 149 SAFJ 231 136 0 0.1 0 0 8.3E-07 732.313 150 AFG 231 136 0 0 95 0 0 734.984 150 FOUND SOLUTION: 734.984 (NLP) in 11 sec. 151 AFH 231 136 0 0 5 13 0.00049 735.026 152 AFH 232 137 0 0 2.2 11 0.00012 735.017 153 AFH 233 138 0 0 1.1 11 0.00011 735.013 154 AFH 234 139 0 0 0.0084 10 9.1E-05 735.008 155 AFH 235 140 0 0 1.1 11 3.4E-05 734.999 156 AFH 236 141 0 0 0.035 12 3E-05 734.999 157 AFH 237 142 0 0 0.36 12 2.8E-05 734.998 158 AFH 238 143 0 0 0.49 12 2.3E-05 734.998 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 239 144 0 0 0.79 12 1.7E-05 734.997 160 AFH 240 145 0 0 0.62 12 1.6E-05 734.996 161 AFH 241 146 0 0 0.81 11 8.6E-06 734.992 162 AFH 242 147 0 0 0.27 11 7.1E-06 734.992 163 AFH 243 148 0 0 0.26 11 6.7E-06 734.991 164 AFH 244 149 0 0 0.0052 10 6.1E-06 734.989 165 AFH 245 150 0 0 0.00045 9 4.2E-06 734.989 166 AFH 246 151 0 0 0.31 8 3.9E-06 734.989 167 AFH 247 152 0 0 0.31 7 3.4E-06 734.988 168 AFH 248 153 0 0 0.8 8 5.7E-06 734.987 169 AFH 249 154 0 0 0.39 6 2.1E-06 734.987 170 AFH 250 155 0 0 0.0087 5 1.9E-06 734.987 171 AFH 251 156 0 0 0.31 4 1.6E-06 734.986 172 AFH 252 157 0 0 0.0054 3 1.6E-06 734.985 173 AFH 253 158 0 0 0.0075 2 1.4E-06 734.985 174 AFH 254 159 0 0 0.16 2 1.5E-06 734.985 175 AFH 255 160 0 0 0.037 2 1.1E-06 734.985 176 AFH 256 161 0 0 0.15 1 1E-06 734.985 177 AFJ 257 162 0 0 0.3 0 6.7E-07 734.985 177 FOUND SOLUTION: 734.985 in 14 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.42_RSyn0840M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 734.98371390295221772 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 734.98487130371620424 Max constraint (32) : 6.6504823439572314118e-07 Time used (seconds) : 13.84 Time limit (seconds) : 7200 Iterations used : 177 Iteration limit : -1 Function evaluations : 19096 Gradient evaluations : 313 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 40.1 % MIP time usage : 59.6 % Optimal/total MIPs : 28/177 NLP solver calls : 178 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M02H.gms(4738) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M02H.gms Stop 09/14/12 14:38:00 elapsed 0:00:13.890 @04 1347626280 ----------------------------- Fr 14. Sep 14:38:00 CEST 2012 ----------------------------- =ready= Linux opt222 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M02M.gms =========== ----------------------------- Fr 14. Sep 14:37:48 CEST 2012 ----------------------------- @03 1347626268 --- Job RSyn0840M02M.gms Start 09/14/12 14:37:48 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M02M.gms(3267) 2 Mb --- Starting execution: elapsed 0:00:00.022 --- RSyn0840M02M.gms(3265) 3 Mb --- Generating MINLP model m --- RSyn0840M02M.gms(3267) 6 Mb --- 1,481 rows 721 columns 3,705 non-zeroes --- 380 nl-code 56 nl-non-zeroes --- 288 discrete-columns --- RSyn0840M02M.gms(3267) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.037 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.43_RSyn0840M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3705 elements of which 2% are non-linear(NL) included in 1481 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 56 from a total of 721 variables: Continuous(433), Binary(288), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=192 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 2.2E+03 0 1.2E-12 216.209 1 FOUND SOLUTION: 216.209 (NLP) in 1 sec. 2 SAFH 0 0 0 1 1.6E+02 34 2.9 4251.65 3 SAFH 10 1 0 1 48 32 2.4 3779.15 4 SAFH 12 2 0 1 14 30 0.83 3743.18 5 SAFG 34 3 0 1 1.7E+02 0 0 217.507 5 FOUND SOLUTION: 217.507 (NLP) in 1 sec. 6 SAFH 34 3 0 1 1.5E+02 28 1.7 2451.48 7 SAFG 44 4 0 1 2E+02 0 2.2E-16 251.507 7 FOUND SOLUTION: 251.507 (NLP) in 1 sec. 8 SAFH 44 4 0 1 50 24 2 1154.24 9 SAFG 46 5 0 1 76 0 7.9E-13 268.507 9 FOUND SOLUTION: 268.507 (NLP) in 2 sec. 10 SAFH 46 5 0 1 41 22 0.82 1150.34 11 SAFG 48 6 0 1 50 0 4.1E-11 274.507 11 FOUND SOLUTION: 274.507 (NLP) in 2 sec. 12 SAFH 48 6 0 1 33 16 0.33 1009.91 13 SAFG 56 7 0 1 55 0 7.3E-13 275.678 13 FOUND SOLUTION: 275.678 (NLP) in 2 sec. 14 SAFH 56 7 0 1 25 12 0.39 658.541 15 SAFG 58 8 0 1 77 0 2.1E-12 277.678 15 FOUND SOLUTION: 277.678 (NLP) in 2 sec. 16 SAFH 58 8 0 1 23 14 0.16 519.93 17 SAFG 68 9 0 1 98 0 2E-12 312.574 17 FOUND SOLUTION: 312.574 (NLP) in 2 sec. 18 SAFH 68 9 0 1 77 15 0.55 436.603 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 70 10 0 1 1.3E+02 15 0.27 398.013 20 SAFH 71 11 0 1 50 15 0.054 389.228 21 SAFH 80 12 0 1 88 16 0.075 346.112 22 SAFH 84 13 0 1 61 16 0.032 351.299 23 SAFH 88 14 0 1 53 15 0.1 331.183 24 SAFH 89 15 0 1 17 15 0.029 330.847 25 SAFH 90 16 0 1 5.4 15 0.013 330.101 26 SAFH 95 17 0 1 35 16 0.034 335.646 27 SAFG 97 18 0 1 36 0 2E-11 313.209 27 FOUND SOLUTION: 313.209 (NLP) in 3 sec. 28 SAFH 97 18 0 1 18 17 0.011 331.152 29 SAFH 100 19 0 1 19 17 0.0054 323.955 30 SAFH 106 20 0 1 22 17 0.0068 318.14 31 SAFH 108 21 0 1 12 17 0.003 317.61 32 SAFH 115 22 0 1 13 16 0.0028 315.109 33 SAFH 116 23 0 1 0.55 16 0.001 315.008 34 SAFH 117 24 0 1 3.1 17 0.001 314.917 35 SAFH 118 25 0 1 3.5 17 0.0008 314.884 36 SAFH 119 26 0 1 0.097 17 0.0008 314.716 37 SAFH 120 27 0 1 6.3 17 0.00076 314.454 38 SAFH 121 28 0 1 0.087 17 0.0007 314.314 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 122 29 0 1 0.081 17 0.00065 314.272 40 SAFH 123 30 0 1 6.6 17 0.00071 314.015 41 SAFH 124 31 0 1 1.9 17 0.00062 314.011 42 SAFH 125 32 0 1 0.028 16 0.0005 313.985 43 SAFH 126 33 0 1 0.072 16 0.00047 313.977 44 SAFH 127 34 0 1 0.067 16 0.00047 313.951 45 SAFH 128 35 0 1 4.7 15 0.00043 313.828 46 SAFH 129 36 0 1 0.021 14 0.00034 313.812 47 SAFH 130 37 0 1 1.4 16 0.00026 313.731 48 SAFH 131 38 0 1 1.6 16 0.0002 313.73 49 SAFH 132 39 0 1 0.048 16 0.00042 313.7 50 SAFH 133 40 0 1 4.7 17 0.00055 313.6 51 SAFH 134 41 0 1 1.5 17 0.00037 313.599 52 SAFH 135 42 0 1 3.2 16 0.00019 313.55 53 SAFH 136 43 0 1 0.042 15 0.00017 313.503 54 SAFH 137 44 0 1 0.04 15 0.00014 313.482 55 SAFH 138 45 0 1 0.0065 14 0.00012 313.476 56 SAFH 139 46 0 1 0.034 14 0.00012 313.468 57 SAFH 140 47 0 1 2.2 14 0.00012 313.441 58 SAFH 141 48 0 1 0.033 14 0.00011 313.379 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 142 49 0 1 0.03 14 9.9E-05 313.328 60 SAFH 143 50 0 1 0.033 14 8.6E-05 313.305 61 SAFH 144 51 0 1 1.1 14 0.00017 313.281 62 SAFH 145 52 0 1 0.93 14 6.6E-05 313.281 63 SAFH 146 53 0 1 0.8 16 4.7E-05 313.275 64 SAFH 147 54 0 1 0.021 16 6.9E-05 313.269 65 SAFH 148 55 0 1 2 17 5.8E-05 313.268 66 SAFH 149 56 0 1 0.85 17 3.6E-05 313.263 67 SAFH 150 57 0 1 0.39 17 3.1E-05 313.262 68 SAFH 151 58 0 1 0.41 16 2.9E-05 313.261 69 SAFH 152 59 0 1 0.016 15 2.9E-05 313.257 70 SAFH 153 60 0 1 0.016 16 2.5E-05 313.257 71 SAFH 154 61 0 1 0.016 16 3.5E-05 313.255 72 SAFH 155 62 0 1 1.1 15 4.6E-05 313.252 73 SAFH 156 63 0 1 1.1 15 1.7E-05 313.244 74 SAFH 157 64 0 1 0.013 15 1.6E-05 313.239 75 SAFH 158 65 0 1 0.39 16 1.5E-05 313.237 76 SAFH 159 66 0 1 4E-05 15 1.5E-05 313.231 77 SAFH 160 67 0 1 0.43 15 2.1E-05 313.231 78 SAFH 161 68 0 1 0.001 14 1.3E-05 313.23 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 162 69 0 1 0.47 14 1.2E-05 313.227 80 SAFH 163 70 0 1 0.23 13 9.1E-06 313.227 81 SAFH 164 71 0 1 0.2 12 8.7E-06 313.227 82 SAFH 165 72 0 1 0.0088 13 7.9E-06 313.224 83 SAFH 166 73 0 1 0.69 11 7.6E-06 313.221 84 SAFH 167 74 0 1 0.0093 10 7.3E-06 313.221 85 SAFH 168 75 0 1 0.32 10 7.3E-06 313.218 86 SAFH 169 76 0 1 0.32 10 4.1E-06 313.215 87 SAFH 170 77 0 1 0.2 9 4.3E-06 313.214 88 SAFH 171 78 0 1 0.0068 8 4.1E-06 313.214 89 SAFH 172 79 0 1 0.2 9 3.6E-06 313.214 90 SAFH 173 80 0 1 0.21 9 3.3E-06 313.214 91 SAFH 174 81 0 1 0.33 8 3E-06 313.213 92 SAFH 175 82 0 1 0.0051 7 2.4E-06 313.213 93 SAFH 176 83 0 1 0.00012 6 2E-06 313.212 94 SAFH 177 84 0 1 0.0045 6 1.9E-06 313.212 95 SAFH 178 85 0 1 0.0047 5 1.8E-06 313.212 96 SAFH 179 86 0 1 0.0042 3 1.1E-06 313.211 97 SAFH 180 87 0 1 1.2E+03 16 0.015 -212.788 98 SAFH 181 88 0 1 1.2 17 0.0047 -213.445 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 182 89 0 1 4.8 16 0.0012 -213.625 100 SAFH 183 90 0 1 2.5 16 0.0005 -213.643 101 SAFH 184 91 0 1 2.7 16 0.00035 -213.684 102 SAFH 185 92 0 1 3.2 16 0.00081 -213.715 103 SAFH 186 93 0 1 0.75 16 0.00013 -213.744 104 SAFH 187 94 0 1 1.2 15 0.00021 -213.776 105 SAFH 188 95 0 1 0.97 15 0.00013 -213.782 106 SAFH 189 96 0 1 1.4 15 0.00015 -213.799 107 SAFH 190 97 0 1 2.7 15 0.00012 -213.805 108 SAFH 191 98 0 1 0.8 15 8.2E-05 -213.806 109 SAFH 192 99 0 1 0.8 14 0.00011 -213.835 110 SAFH 193 100 0 1 2.1 15 5.2E-05 -213.857 111 SAFH 194 101 0 1 0.49 16 3.7E-05 -213.859 112 SAFH 195 102 0 1 0.085 16 4.7E-05 -213.865 113 SAFH 196 103 0 1 1.3 16 2.9E-05 -213.868 114 SAFH 197 104 0 1 0.4 14 3.1E-05 -213.869 115 SAFH 198 105 0 1 0.017 15 2.7E-05 -213.869 116 SAFH 199 106 0 1 0.98 14 5E-05 -213.872 117 SAFH 200 107 0 1 0.76 14 2.6E-05 -213.876 118 SAFH 201 108 0 1 0.015 14 4.6E-05 -213.876 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 202 109 0 1 0.77 12 2.4E-05 -213.892 120 SAFH 203 110 0 1 0.76 14 1.3E-05 -213.899 121 SAFH 204 111 0 1 0.011 15 1.2E-05 -213.9 122 SAFH 205 112 0 1 0.21 13 1.2E-05 -213.901 123 SAFH 206 113 0 1 0.01 12 1.1E-05 -213.904 124 SAFH 207 114 0 1 0.011 11 8.4E-06 -213.907 125 SAFH 208 115 0 1 0.6 13 1E-05 -213.908 126 SAFH 209 116 0 1 0.39 11 7.7E-06 -213.909 127 SAFH 210 117 0 1 0.0087 11 9.7E-06 -213.909 128 SAFH 211 118 0 1 0.4 11 6.9E-06 -213.911 129 SAFH 212 119 0 1 0.43 12 1.3E-05 -213.912 130 SAFH 213 120 0 1 0.24 11 3.3E-06 -213.913 131 SAFH 214 121 0 1 0.0053 11 3.2E-06 -213.913 132 SAFH 215 122 0 1 0.029 10 3.2E-06 -213.913 133 SAFH 216 123 0 1 0.31 9 2.9E-06 -213.913 134 SAFH 217 124 0 1 0.0051 8 3.5E-06 -213.914 135 SAFH 218 125 0 1 0.39 7 2.9E-06 -213.914 136 SAFH 219 126 0 1 0.0057 6 4.2E-06 -213.916 137 SAFH 220 127 0 1 0.006 6 2.5E-06 -213.916 138 SAFH 221 128 0 1 0.19 4 2.4E-06 -213.916 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 222 129 0 1 0.0047 3 2E-06 -213.917 140 SAFH 223 130 0 1 0.15 3 1.9E-06 -213.917 141 SAFH 224 131 0 1 0.0043 3 2E-06 -213.918 142 SAFH 225 132 0 1 0.0042 2 1.3E-06 -213.918 143 SAFH 226 133 0 1 0.15 1 1.1E-06 -213.919 144 SAFJ 227 134 0 1 0.003 0 9.5E-07 -213.919 145 SAFG 227 134 0 0.5 1.1E+03 0 2.2E-16 697.112 145 FOUND SOLUTION: 697.112 (NLP) in 9 sec. 146 SAFH 227 134 0 0.5 0.22 2 1.1E-06 697.114 147 SAFH 228 135 0 0.5 2.4E+02 1 1E-06 92.804 148 SAFJ 229 136 0 0.5 0.17 0 9.1E-07 92.8038 149 SAFJ 229 136 0 0.3 0 0 9.1E-07 92.8038 150 SAFJ 229 136 0 0.2 0 0 9.1E-07 92.8038 151 SAFJ 229 136 0 0.1 0 0 9.1E-07 92.8038 152 AFG 229 136 0 0 4.4E+02 0 2.2E-16 734.983 152 FOUND SOLUTION: 734.983 (NLP) in 12 sec. 153 AFH 229 136 0 0 2.9 14 0.00026 735.046 154 AFH 230 137 0 0 0.42 14 9.2E-05 735.038 155 AFH 231 138 0 0 0.0011 13 7.3E-05 735.015 156 AFH 232 139 0 0 0.95 12 6.7E-05 735.012 157 AFH 233 140 0 0 0.64 13 6.5E-05 735.009 158 AFH 234 141 0 0 0.18 13 2.6E-05 735.007 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 235 142 0 0 0.015 13 1.8E-05 735.002 160 AFH 236 143 0 0 0.47 12 2.5E-05 735.001 161 AFH 237 144 0 0 0.34 12 1.7E-05 735 162 AFH 238 145 0 0 0.34 11 1.6E-05 734.998 163 AFH 239 146 0 0 0.26 10 1.4E-05 734.998 164 AFH 240 147 0 0 0.33 9 1.3E-05 734.994 165 AFH 241 148 0 0 0.62 10 6.6E-06 734.992 166 AFH 242 149 0 0 0.34 8 6.5E-06 734.99 167 AFH 243 150 0 0 0.0066 9 4.5E-06 734.987 168 AFH 244 151 0 0 0.083 8 4.3E-06 734.986 169 AFH 245 152 0 0 0.16 10 3.3E-06 734.986 170 AFH 246 153 0 0 0.31 8 3.5E-06 734.986 171 AFH 247 154 0 0 0.00016 7 2.9E-06 734.985 172 AFH 248 155 0 0 0.12 5 2.1E-06 734.985 173 AFH 249 156 0 0 0.0047 5 2.9E-06 734.985 174 AFH 250 157 0 0 0.0051 4 1.7E-06 734.985 175 AFH 251 158 0 0 0.0039 3 1.6E-06 734.985 176 AFH 252 159 0 0 0.0037 1 1.1E-06 734.985 177 AFJ 253 160 0 0 0.0034 0 8.4E-07 734.985 177 FOUND SOLUTION: 734.985 in 30 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.43_RSyn0840M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 734.98349744554900553 Max constraint (41) : 2.2204460492503130808e-16 Alternative solution : MIP Alt. objective value : 734.98458284066771284 Max constraint (27) : 8.3545926576888973614e-07 Time used (seconds) : 29.09 Time limit (seconds) : 7200 Iterations used : 177 Iteration limit : -1 Function evaluations : 13328 Gradient evaluations : 253 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 11.7 % MIP time usage : 88.2 % Optimal/total MIPs : 26/177 NLP solver calls : 178 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M02M.gms(3267) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M02M.gms Stop 09/14/12 14:38:17 elapsed 0:00:29.156 @04 1347626297 ----------------------------- Fr 14. Sep 14:38:17 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M03H.gms =========== ----------------------------- Fr 14. Sep 14:37:48 CEST 2012 ----------------------------- @03 1347626268 --- Job RSyn0840M03H.gms Start 09/14/12 14:37:49 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M03H.gms(7714) 3 Mb --- Starting execution: elapsed 0:00:00.045 --- RSyn0840M03H.gms(7712) 4 Mb --- Generating MINLP model m --- RSyn0840M03H.gms(7714) 7 Mb --- 3,448 rows 2,041 columns 8,092 non-zeroes --- 1,410 nl-code 252 nl-non-zeroes --- 432 discrete-columns --- RSyn0840M03H.gms(7714) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.077 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.44_RSyn0840M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 8092 elements of which 3% are non-linear(NL) included in 3448 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(84) The number of variables in NL elements are 240 from a total of 2041 variables: Continuous(1609), Binary(432), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=506 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1922) infeasibile 0 H 0 0 0 1 0 84 0.11 NA 1 SAFG 84 1 0 1 2.6E+03 0 1.4E-16 1072.92 1 FOUND SOLUTION: 1072.92 (NLP) in 1 sec. 2 SAFH 84 1 0 1 4.7E+02 28 3.7 3807.36 3 SAFH 99 2 0 1 2.5E+02 30 2.2 3026.4 4 SAFH 106 3 0 1 1.9E+02 30 3 3025.71 5 SAFH 112 4 0 1 1.4E+02 36 0.94 2185.42 6 SAFH 124 5 0 1 78 40 1.2 2047.97 7 SAFH 130 6 0 1 1.3E+02 28 3 1787.18 8 SAFH 133 7 0 1 4.1E+02 34 0.98 1851.91 9 SAFH 137 8 0 1 3.4E+02 28 1 1795.8 10 SAFH 140 9 0 1 2.2E+02 24 0.39 1723.55 11 SAFG 156 10 0 1 2.1E+02 0 2.5E-16 1074.94 11 FOUND SOLUTION: 1074.94 (NLP) in 2 sec. 12 SAFH 156 10 0 1 2.2E+02 37 1 1884.12 13 SAFH 158 11 0 1 21 31 0.48 1346.72 14 SAFH 162 12 0 1 59 28 0.22 1201.88 15 SAFH 169 13 0 1 73 28 0.098 1194.31 16 SAFH 177 14 0 1 60 25 0.069 1128.03 17 SAFH 184 15 0 1 2.1E+02 25 0.14 1103.29 18 SAFH 186 16 0 1 65 25 0.045 1102.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 192 17 0 1 41 25 0.015 1093.61 20 SAFH 203 18 0 1 54 24 0.0094 1082.78 21 SAFH 207 19 0 1 91 24 0.02 1079.48 22 SAFH 209 20 0 1 33 24 0.0065 1079.33 23 SAFH 215 21 0 1 64 25 0.0053 1078.52 24 SAFH 218 22 0 1 37 24 0.0026 1077.66 25 SAFH 229 23 0 1 28 25 0.0012 1076.96 26 SAFH 232 24 0 1 30 25 0.0019 1076.52 27 SAFH 233 25 0 1 0.26 25 0.00097 1076.49 28 SAFH 234 26 0 1 0.22 25 0.0017 1076.15 29 SAFH 235 27 0 1 0.23 24 0.00084 1076.07 30 SAFH 236 28 0 1 8.2 24 0.00084 1076.01 31 SAFH 237 29 0 1 3.6 23 0.0008 1075.99 32 SAFH 238 30 0 1 0.09 23 0.00079 1075.86 33 SAFH 239 31 0 1 8.7 24 0.0028 1075.77 34 SAFH 240 32 0 1 8.2 24 0.00068 1075.68 35 SAFH 241 33 0 1 0.27 23 0.00061 1075.62 36 SAFH 242 34 0 1 4.3 24 0.00059 1075.55 37 SAFH 243 35 0 1 0.024 23 0.00056 1075.54 38 SAFH 244 36 0 1 0.25 24 0.00049 1075.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 245 37 0 1 0.13 25 0.00046 1075.39 40 SAFH 246 38 0 1 5.5 25 0.00042 1075.36 41 SAFH 247 39 0 1 0.11 24 0.00041 1075.32 42 SAFH 248 40 0 1 0.035 23 0.0004 1075.31 43 SAFH 249 41 0 1 1.7 25 0.00037 1075.3 44 SAFH 250 42 0 1 0.076 25 0.00036 1075.27 45 SAFH 251 43 0 1 2 25 0.00026 1075.27 46 SAFH 252 44 0 1 0.1 25 0.00021 1075.22 47 SAFH 253 45 0 1 4 25 0.00026 1075.21 48 SAFH 254 46 0 1 1.8 24 0.00021 1075.21 49 SAFH 255 47 0 1 0.0045 23 0.00017 1075.18 50 SAFH 256 48 0 1 2.1 24 0.00023 1075.17 51 SAFH 257 49 0 1 4 24 0.00015 1075.14 52 SAFH 258 50 0 1 0.1 23 0.00014 1075.11 53 SAFH 259 51 0 1 0.85 23 0.00014 1075.11 54 SAFH 260 52 0 1 0.12 24 0.00012 1075.11 55 SAFH 261 53 0 1 0.067 24 0.00012 1075.1 56 SAFH 262 54 0 1 2.7 24 0.00015 1075.1 57 SAFH 263 55 0 1 5.5 24 0.00017 1075.08 58 SAFH 264 56 0 1 1.7 24 0.00011 1075.08 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 265 57 0 1 3.8 25 0.0001 1075.07 60 SAFH 266 58 0 1 0.055 25 9.3E-05 1075.05 61 SAFH 267 59 0 1 0.057 26 9E-05 1075.05 62 SAFH 268 60 0 1 1 26 8.4E-05 1075.05 63 SAFH 269 61 0 1 0.0067 25 6.5E-05 1075.04 64 SAFH 270 62 0 1 0.049 25 5.9E-05 1075.04 65 SAFH 271 63 0 1 0.055 24 5.8E-05 1075.03 66 SAFH 272 64 0 1 0.00012 23 5.5E-05 1075 67 SAFH 273 65 0 1 0.008 22 4.3E-05 1075 68 SAFH 274 66 0 1 1 23 4.5E-05 1075 69 SAFH 275 67 0 1 1.9 23 4.2E-05 1074.99 70 SAFH 276 68 0 1 0.84 23 3.7E-05 1074.99 71 SAFH 277 69 0 1 0.78 22 3.6E-05 1074.99 72 SAFH 278 70 0 1 0.43 23 5.8E-05 1074.99 73 SAFH 279 71 0 1 0.67 23 3.5E-05 1074.99 74 SAFH 280 72 0 1 0.064 24 3.1E-05 1074.98 75 SAFH 281 73 0 1 1.3 23 3E-05 1074.98 76 SAFH 282 74 0 1 2.5 22 2.7E-05 1074.98 77 SAFH 283 75 0 1 1.1 22 2.3E-05 1074.97 78 SAFH 284 76 0 1 0.029 22 2.8E-05 1074.97 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 285 77 0 1 0.14 21 2.3E-05 1074.97 80 SAFH 286 78 0 1 0.2 21 2E-05 1074.97 81 SAFH 287 79 0 1 0.71 22 1.6E-05 1074.97 82 SAFH 288 80 0 1 0.025 22 1.9E-05 1074.96 83 SAFH 289 81 0 1 0.42 21 3.8E-05 1074.96 84 SAFH 290 82 0 1 0.26 20 1.6E-05 1074.96 85 SAFH 291 83 0 1 0.0013 19 1.5E-05 1074.96 86 SAFH 292 84 0 1 0.028 18 1.5E-05 1074.96 87 SAFH 293 85 0 1 0.086 18 1.4E-05 1074.95 88 SAFH 294 86 0 1 0.53 18 1.2E-05 1074.95 89 SAFH 295 87 0 1 0.14 19 1.1E-05 1074.95 90 SAFH 296 88 0 1 0.51 21 1.1E-05 1074.95 91 SAFH 297 89 0 1 0.22 20 9.9E-06 1074.95 92 SAFH 298 90 0 1 0.78 19 9E-06 1074.95 93 SAFH 299 91 0 1 0.78 19 8.9E-06 1074.95 94 SAFH 300 92 0 1 0.16 19 1.1E-05 1074.95 95 SAFH 301 93 0 1 0.29 18 8.7E-06 1074.95 96 SAFH 302 94 0 1 0.032 19 7.7E-06 1074.95 97 SAFH 303 95 0 1 0.017 20 7.1E-06 1074.95 98 SAFH 304 96 0 1 0.16 19 5.8E-06 1074.95 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 305 97 0 1 0.64 20 5.7E-06 1074.95 100 SAFH 306 98 0 1 0.074 18 5E-06 1074.95 101 SAFH 307 99 0 1 0.51 19 4.8E-06 1074.95 102 SAFH 308 100 0 1 0.014 20 4.6E-06 1074.95 103 SAFH 309 101 0 1 0.94 20 4.6E-06 1074.95 104 SAFH 310 102 0 1 0.064 19 3.7E-06 1074.95 105 SAFH 311 103 0 1 0.014 17 3.6E-06 1074.95 106 SAFH 312 104 0 1 0.01 14 3.4E-06 1074.95 107 SAFH 313 105 0 1 0.26 13 3.1E-06 1074.95 108 SAFH 314 106 0 1 0.11 13 3.3E-06 1074.95 109 SAFH 315 107 0 1 0.078 12 2.9E-06 1074.95 110 SAFH 316 108 0 1 0.066 11 2.6E-06 1074.95 111 SAFH 317 109 0 1 0.21 11 2.5E-06 1074.95 112 SAFH 318 110 0 1 0.39 7 2.3E-06 1074.95 113 SAFH 319 111 0 1 0.62 5 2.2E-06 1074.95 114 SAFH 320 112 0 1 0.016 4 1.5E-06 1074.95 115 SAFH 321 113 0 1 0.0071 3 1.2E-06 1074.95 116 SAFH 322 114 0 1 0.0072 2 1.1E-06 1074.95 117 SAFH 323 115 0 1 0.0071 1 1E-06 1074.95 118 SAFJL 324 116 0 1 0.42 0 9.7E-07 1074.95 118 FOUND SOLUTION: 1074.95 in 13 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFG 240 115 0 0.5 2.6E+03 0 1.7E-16 2600.99 119 FOUND SOLUTION: 2600.99 (NLP) in 14 sec. 120 SAFH 240 115 0 0.5 5.6E+02 42 4.5 4654.42 121 SAFH 243 116 0 0.5 4.1E+02 42 2.6 4558.64 122 SAFG 245 117 0 0.5 5.9E+02 0 1.1E-16 2620.75 122 FOUND SOLUTION: 2620.75 (NLP) in 14 sec. 123 SAFH 245 117 0 0.5 1.2E+02 33 1.1 4513.31 124 SAFG 258 118 0 0.5 1.7E+02 0 2.2E-16 2635.33 124 FOUND SOLUTION: 2635.33 (NLP) in 15 sec. 125 SAFH 258 118 0 0.5 78 29 0.84 2791.87 126 SAFG 261 119 0 0.5 98 0 1.1E-16 2648.29 126 FOUND SOLUTION: 2648.29 (NLP) in 15 sec. 127 SAFH 261 119 0 0.5 61 23 0.37 2754.34 128 SAFG 265 120 0 0.5 84 0 2.2E-16 2659.29 128 FOUND SOLUTION: 2659.29 (NLP) in 15 sec. 129 SAFH 265 120 0 0.5 1.1E+02 22 0.13 2724.51 130 SAFH 269 121 0 0.5 1.1E+02 23 0.022 2669.42 131 SAFH 270 122 0 0.5 3.9 22 0.0067 2663.93 132 SAFH 274 123 0 0.5 18 21 0.0041 2659.68 133 SAFH 277 124 0 0.5 16 22 0.0011 2659.6 134 SAFH 278 125 0 0.5 3.7 21 0.00078 2659.59 135 SAFH 279 126 0 0.5 4.7 21 0.00071 2659.56 136 SAFH 280 127 0 0.5 0.2 21 0.00028 2659.54 137 SAFH 281 128 0 0.5 0.05 20 0.00026 2659.52 138 SAFH 282 129 0 0.5 1.8 21 0.0002 2659.52 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 283 130 0 0.5 2.4 20 0.00018 2659.5 140 SAFH 284 131 0 0.5 0.099 20 0.00033 2659.49 141 SAFH 285 132 0 0.5 4.9 19 0.00012 2659.44 142 SAFH 286 133 0 0.5 0.072 20 0.00012 2659.43 143 SAFH 287 134 0 0.5 1.2 18 0.00011 2659.4 144 SAFH 288 135 0 0.5 3.1 18 0.00012 2659.4 145 SAFH 289 136 0 0.5 0.00063 17 0.00012 2659.37 146 SAFH 290 137 0 0.5 1.1 18 0.00011 2659.37 147 SAFH 291 138 0 0.5 2.4 19 8.2E-05 2659.34 148 SAFH 292 139 0 0.5 0.05 19 7E-05 2659.33 149 SAFH 293 140 0 0.5 1.2 18 6.5E-05 2659.32 150 SAFH 294 141 0 0.5 0.9 19 5.6E-05 2659.32 151 SAFH 295 142 0 0.5 2.4 20 0.00018 2659.32 152 SAFH 296 143 0 0.5 1.3 19 4.6E-05 2659.32 153 SAFH 297 144 0 0.5 0.43 20 3.9E-05 2659.32 154 SAFH 298 145 0 0.5 0.25 19 2.9E-05 2659.31 155 SAFH 299 146 0 0.5 0.036 18 2.9E-05 2659.31 156 SAFH 300 147 0 0.5 0.55 18 2.1E-05 2659.31 157 SAFH 301 148 0 0.5 2.8 20 6.5E-05 2659.31 158 SAFH 302 149 0 0.5 0.92 20 1.9E-05 2659.31 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 303 150 0 0.5 1.5 21 4.9E-05 2659.3 160 SAFH 304 151 0 0.5 1.2 22 1.6E-05 2659.3 161 SAFH 305 152 0 0.5 0.46 22 1.2E-05 2659.3 162 SAFH 306 153 0 0.5 0.29 20 1.2E-05 2659.3 163 SAFH 307 154 0 0.5 0.71 20 1.1E-05 2659.3 164 SAFH 308 155 0 0.5 0.32 20 1.1E-05 2659.3 165 SAFH 309 156 0 0.5 1.6 19 1.1E-05 2659.3 166 SAFH 310 157 0 0.5 0.05 18 1.1E-05 2659.3 167 SAFH 311 158 0 0.5 0.89 19 9.7E-06 2659.3 168 SAFH 312 159 0 0.5 0.023 19 8E-06 2659.3 169 SAFH 313 160 0 0.5 0.4 20 7.3E-06 2659.3 170 SAFH 314 161 0 0.5 0.018 19 7.2E-06 2659.3 171 SAFH 315 162 0 0.5 0.2 18 6.5E-06 2659.29 172 SAFH 316 163 0 0.5 0.88 17 7.2E-06 2659.29 173 SAFH 317 164 0 0.5 0.28 19 8.5E-06 2659.29 174 SAFH 318 165 0 0.5 0.87 16 5.6E-06 2659.29 175 SAFH 319 166 0 0.5 1.4 14 1.6E-05 2659.29 176 SAFH 320 167 0 0.5 0.28 15 7.6E-06 2659.29 177 SAFH 321 168 0 0.5 0.57 14 5.2E-06 2659.29 178 SAFH 322 169 0 0.5 0.17 13 4.1E-06 2659.29 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 323 170 0 0.5 0.012 13 4.7E-06 2659.29 180 SAFH 324 171 0 0.5 0.18 13 2.6E-06 2659.29 181 SAFH 325 172 0 0.5 0.0084 12 4E-06 2659.29 182 SAFH 326 173 0 0.5 0.016 12 2.5E-06 2659.29 183 SAFH 327 174 0 0.5 0.00016 11 2.4E-06 2659.29 184 SAFH 328 175 0 0.5 0.01 11 2.3E-06 2659.29 185 SAFH 329 176 0 0.5 0.16 9 2.1E-06 2659.29 186 SAFH 330 177 0 0.5 0.12 9 1.9E-06 2659.29 187 SAFH 331 178 0 0.5 0.16 8 4.1E-06 2659.29 188 SAFH 332 179 0 0.5 0.12 7 1.8E-06 2659.29 189 SAFH 333 180 0 0.5 0.0098 6 1.7E-06 2659.29 190 SAFH 334 181 0 0.5 0.15 6 2E-06 2659.29 191 SAFH 335 182 0 0.5 0.2 5 1.6E-06 2659.29 192 SAFH 336 183 0 0.5 0.21 4 1.4E-06 2659.29 193 SAFH 337 184 0 0.5 0.0065 3 1.2E-06 2659.29 194 SAFH 338 185 0 0.5 0.0072 2 1.1E-06 2659.29 195 SAFH 339 186 0 0.5 2.2E-06 1 1E-06 2659.29 196 SAFH 340 187 0 0.5 0.23 2 1.8E-06 2659.29 197 SAFH 341 188 0 0.5 0.11 1 1.7E-06 2659.29 198 SAFJ 342 189 0 0.5 0.0078 0 8.8E-07 2659.29 198 FOUND SOLUTION: 2659.29 in 22 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFJ 342 189 0 0.3 0 0 8.8E-07 2659.29 200 SAFJ 342 189 0 0.2 0 0 8.8E-07 2659.29 201 SAFJ 342 189 0 0.1 0 0 8.8E-07 2659.29 202 AFG 342 189 0 0 5.6E+02 0 2.2E-16 2742.65 202 FOUND SOLUTION: 2742.65 (NLP) in 23 sec. 203 AFH 342 189 0 0 9.1 7 0.018 2747.62 204 AFH 344 190 0 0 4.4 7 0.0051 2744.98 205 AFH 345 191 0 0 0.92 7 0.0013 2743.18 206 AFH 346 192 0 0 0.47 7 0.00072 2743.04 207 AFH 347 193 0 0 0.0058 6 0.0006 2742.86 208 AFH 348 194 0 0 5.5 6 0.0016 2742.84 209 AFH 349 195 0 0 4.9 6 0.0004 2742.81 210 AFH 350 196 0 0 2.4 6 0.00033 2742.81 211 AFH 351 197 0 0 0.23 7 0.00025 2742.77 212 AFH 352 198 0 0 2.6 7 0.00015 2742.74 213 AFH 353 199 0 0 2.9 7 0.00017 2742.73 214 AFH 354 200 0 0 1.6 7 0.00015 2742.73 215 AFH 355 201 0 0 0.0012 6 0.00011 2742.69 216 AFH 356 202 0 0 0.071 6 8.3E-05 2742.68 217 AFH 357 203 0 0 0.12 7 4.2E-05 2742.67 218 AFH 358 204 0 0 0.79 7 3.3E-05 2742.67 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 359 205 0 0 0.00027 6 2.8E-05 2742.66 220 AFH 360 206 0 0 0.035 6 2.7E-05 2742.66 221 AFH 361 207 0 0 3 5 8.4E-05 2742.66 222 AFH 362 208 0 0 1.1 6 2.1E-05 2742.66 223 AFH 363 209 0 0 0.55 6 2.1E-05 2742.66 224 AFH 364 210 0 0 0.057 7 8.3E-06 2742.65 225 AFH 365 211 0 0 0.001 6 6.8E-06 2742.65 226 AFH 366 212 0 0 0.016 5 5.3E-06 2742.65 227 AFH 367 213 0 0 0.28 5 5.4E-06 2742.65 228 AFH 368 214 0 0 1.1 4 1.2E-05 2742.65 229 AFH 369 215 0 0 0.79 3 5.2E-06 2742.65 230 AFH 370 216 0 0 0.029 4 2.9E-06 2742.65 231 AFH 371 217 0 0 0.28 4 2E-06 2742.65 232 AFH 372 218 0 0 1.6E-05 3 1.7E-06 2742.65 233 AFH 373 219 0 0 0.0079 2 1.3E-06 2742.65 234 AFH 374 220 0 0 0.14 1 1.3E-06 2742.65 235 AFJ 375 221 0 0 0.014 0 8.8E-07 2742.65 235 FOUND SOLUTION: 2742.65 in 31 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.44_RSyn0840M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2742.6458841024418689 Max constraint (19) : 2.2204482696963621485e-16 Alternative solution : MIP Alt. objective value : 2742.6470180133064787 Max constraint (78) : 8.7607781903970972193e-07 Time used (seconds) : 30.34 Time limit (seconds) : 7200 Iterations used : 235 Iteration limit : -1 Function evaluations : 34608 Gradient evaluations : 459 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 43.2 % MIP time usage : 56.5 % Optimal/total MIPs : 34/235 NLP solver calls : 236 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M03H.gms(7714) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M03H.gms Stop 09/14/12 14:38:19 elapsed 0:00:30.453 @04 1347626299 ----------------------------- Fr 14. Sep 14:38:19 CEST 2012 ----------------------------- =ready= Linux opt208 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M03M.gms =========== ----------------------------- Fr 14. Sep 14:37:49 CEST 2012 ----------------------------- @03 1347626269 --- Job RSyn0840M03M.gms Start 09/14/12 14:37:49 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M03M.gms(5492) 3 Mb --- Starting execution: elapsed 0:00:00.020 --- RSyn0840M03M.gms(5490) 3 Mb --- Generating MINLP model m --- RSyn0840M03M.gms(5492) 6 Mb --- 2,509 rows 1,081 columns 6,227 non-zeroes --- 570 nl-code 84 nl-non-zeroes --- 432 discrete-columns --- RSyn0840M03M.gms(5492) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.032 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.45_RSyn0840M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 6227 elements of which 1% are non-linear(NL) included in 2509 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(84) The number of variables in NL elements are 84 from a total of 1081 variables: Continuous(649), Binary(432), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=316 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 2E+03 0 2.2E-16 1424.86 1 FOUND SOLUTION: 1424.86 (NLP) in 1 sec. 2 SAFH 0 0 0 1 3.6E+02 51 4.5 6680.46 3 SAFG 15 1 0 1 1.1E+03 0 4.4E-16 2557.14 3 FOUND SOLUTION: 2557.14 (NLP) in 1 sec. 4 SAFH 15 1 0 1 3.5E+02 48 3.7 7085.71 5 SAFH 18 2 0 1 9.1E+02 46 2.6 5877.63 6 SAFH 19 3 0 1 38 46 2.2 5873.2 7 SAFH 29 4 0 1 1.2E+02 49 3 5872.51 8 SAFH 35 5 0 1 7.6E+02 50 1.3 5157.94 9 SAFH 59 6 0 1 8E+02 45 2.5 2770.91 10 SAFH 65 7 0 1 7E+02 42 1.2 3839.01 11 SAFH 71 8 0 1 4.5E+02 43 1.4 3475.46 12 SAFH 73 9 0 1 1.7E+02 41 0.82 3485.31 13 SAFH 84 10 0 1 6.7E+02 24 0.47 3121.65 14 SAFH 101 11 0 1 8E+02 32 0.48 2815.34 15 SAFG 105 12 0 1 3E+02 0 4.4E-16 2667.64 15 FOUND SOLUTION: 2667.64 (NLP) in 3 sec. 16 SAFH 105 12 0 1 1.3E+02 28 0.22 2852.04 17 SAFH 112 13 0 1 3.9E+02 20 0.29 2412.21 18 SAFH 113 14 0 1 2.8E+02 20 0.092 2649.37 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 124 15 0 1 4.8E+02 0 2.2E-16 2692.26 19 FOUND SOLUTION: 2692.26 (NLP) in 4 sec. 20 SAFH 124 15 0 1 29 22 0.11 2805.32 21 SAFH 128 16 0 1 2.6E+02 22 0.057 2705.06 22 SAFH 134 17 0 1 7.4E+02 21 0.077 1547.84 23 SAFH 137 18 0 1 46 22 0.027 1531 24 SAFH 144 19 0 1 1.4E+02 21 0.028 1509.89 25 SAFH 145 20 0 1 8.1E+02 21 0.025 2607.11 26 SAFH 149 21 0 1 8.7E+02 22 0.017 1517.07 27 SAFH 154 22 0 1 94 22 0.027 1506.97 28 SAFH 155 23 0 1 7.6E+02 22 0.0066 2689.9 29 SAFH 162 24 0 1 7.6E+02 22 0.0057 1502.45 30 SAFH 166 25 0 1 5.5 22 0.0054 1500.82 31 SAFH 168 26 0 1 13 21 0.0025 1500.65 32 SAFG 174 27 0 1 8.9E+02 0 4.4E-16 2725.33 32 FOUND SOLUTION: 2725.33 (NLP) in 6 sec. 33 SAFH 174 27 0 1 11 21 0.01 2731.14 34 SAFH 176 28 0 1 2.3E+02 21 0.0017 2599.16 35 SAFH 179 29 0 1 7.4E+02 21 0.0025 1495.02 36 SAFH 182 30 0 1 6.7E+02 18 0.00093 2607.64 37 SAFH 183 31 0 1 1.1E+02 18 0.00092 2673.96 38 SAFH 184 32 0 1 2.5E+02 18 0.0032 2630.45 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 188 33 0 1 1.5E+02 18 0.00059 2603.24 40 SAFH 189 34 0 1 6.3E+02 19 0.00069 1498.63 41 SAFH 190 35 0 1 6.9E+02 18 0.00054 2632.6 42 SAFH 191 36 0 1 6.9E+02 20 0.0004 1498.55 43 SAFH 192 37 0 1 1.9 21 0.00037 1498.53 44 SAFH 193 38 0 1 0.071 20 0.00037 1498.41 45 SAFH 194 39 0 1 0.062 20 0.00035 1498.4 46 SAFH 195 40 0 1 7E+02 20 0.00033 2653.24 47 SAFH 196 41 0 1 7.1E+02 20 0.00031 1498.38 48 SAFH 197 42 0 1 6.4E+02 19 0.00023 2607.12 49 SAFH 198 43 0 1 45 19 0.00023 2602.87 50 SAFH 199 44 0 1 6.5E+02 18 0.0011 1494.23 51 SAFH 200 45 0 1 7.7E+02 19 0.0002 2643.49 52 SAFH 201 46 0 1 72 20 0.0001 2632.29 53 SAFH 202 47 0 1 92 19 9.8E-05 2630.48 54 SAFH 203 48 0 1 1.3E+02 15 0.00043 2607.13 55 SAFH 204 49 0 1 6.9E+02 19 0.00017 1494.17 56 SAFH 205 50 0 1 64 21 0.14 1487.95 57 SAFH 206 51 0 1 11 21 0.016 1485.22 58 SAFH 208 52 0 1 8.1E+02 21 9.3E-05 2639.34 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 209 53 0 1 21 22 9.2E-05 2626.32 60 SAFH 210 54 0 1 21 22 9E-05 2639.31 61 SAFH 211 55 0 1 7.5E+02 23 8.1E-05 1494.13 62 SAFH 212 56 0 1 1.2 23 8.9E-05 1494.12 63 SAFH 213 57 0 1 7.8E+02 22 9.6E-05 2627.63 64 SAFH 214 58 0 1 7.8E+02 19 7.7E-05 1498.25 65 SAFH 215 59 0 1 7.7E+02 21 0.00011 2630.41 66 SAFH 216 60 0 1 20 23 0.00014 2626.28 67 SAFH 217 61 0 1 8.3E+02 22 0.0045 1484.62 68 SAFH 219 62 0 1 8.3E+02 23 5.8E-05 2626.27 69 SAFH 220 63 0 1 7.6E+02 22 5.8E-05 1494.1 70 SAFH 221 64 0 1 57 20 0.0012 1484.55 71 SAFH 222 65 0 1 5.2 22 0.0024 1484.51 72 SAFH 223 66 0 1 8.2E+02 22 5.7E-05 2626.26 73 SAFH 224 67 0 1 0.9 22 5.6E-05 2626.25 74 SAFH 225 68 0 1 7.7E+02 22 4.9E-05 1494.08 75 SAFH 226 69 0 1 2 21 4.3E-05 1494.07 76 SAFH 227 70 0 1 0.5 22 3.5E-05 1494.07 77 SAFH 228 71 0 1 0.68 22 2.4E-05 1494.07 78 SAFH 229 72 0 1 0.31 21 2E-05 1494.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 230 73 0 1 0.0097 21 1.7E-05 1494.07 80 SAFH 231 74 0 1 4.4E-05 20 1.5E-05 1494.07 81 SAFH 232 75 0 1 0.8 19 1.7E-05 1494.06 82 SAFH 233 76 0 1 0.00086 18 1.5E-05 1494.06 83 SAFH 234 77 0 1 0.012 18 1.4E-05 1494.06 84 SAFH 235 78 0 1 6.9E+02 18 1.4E-05 2628.04 85 SAFH 236 79 0 1 7.5E+02 21 0.0008 1484.44 86 SAFH 237 80 0 1 58 19 1.4E-05 1494.06 87 SAFH 238 81 0 1 7.8E+02 20 8.8E-05 2630.36 88 SAFH 239 82 0 1 40 19 2E-05 2639.22 89 SAFH 240 83 0 1 7.5E+02 19 2.5E-05 1494.06 90 SAFH 241 84 0 1 0.48 18 1.3E-05 1494.06 91 SAFH 242 85 0 1 1.3 19 2.6E-05 1494.06 92 SAFH 243 86 0 1 0.39 18 1.2E-05 1494.06 93 SAFH 244 87 0 1 0.0097 18 1.6E-05 1494.05 94 SAFH 245 88 0 1 0.41 17 1.3E-05 1494.05 95 SAFH 246 89 0 1 0.94 16 6.4E-06 1494.05 96 SAFH 247 90 0 1 0.24 17 5E-06 1494.05 97 SAFG 248 91 0 1 8.1E+02 0 2.2E-16 2732.53 97 FOUND SOLUTION: 2732.53 (NLP) in 17 sec. 98 SAFH 248 91 0 1 1.3 16 4.9E-05 2732.55 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 249 92 0 1 21 17 2.5E-05 2719.54 100 SAFH 250 93 0 1 8.2E+02 16 5.2E-06 1494.05 101 SAFH 251 94 0 1 59 21 0.00058 1484.4 102 SAFH 252 95 0 1 8.6E+02 17 2.2E-05 2732.54 103 SAFH 253 96 0 1 8.1E+02 16 3.9E-06 1494.05 104 SAFH 254 97 0 1 0.0019 15 3.8E-06 1494.05 105 SAFH 255 98 0 1 0.28 16 5.1E-06 1494.05 106 SAFH 256 99 0 1 60 21 0.0002 1484.39 107 SAFH 257 100 0 1 60 14 4.3E-06 1494.05 108 SAFH 258 101 0 1 8.1E+02 16 1.1E-05 2732.54 109 SAFH 259 102 0 1 8.6E+02 20 0.00016 1484.37 110 SAFH 260 103 0 1 8.7E+02 14 8.2E-06 2719.54 111 SAFH 261 104 0 1 8.2E+02 14 3.6E-06 1494.05 112 SAFH 262 105 0 1 0.031 12 3.5E-06 1494.05 113 SAFH 263 106 0 1 0.0057 11 3.5E-06 1494.05 114 SAFH 264 107 0 1 60 21 0.00015 1484.37 115 SAFH 265 108 0 1 60 10 3.2E-06 1494.05 116 SAFH 266 109 0 1 8.1E+02 11 7.2E-06 2732.53 117 SAFH 267 110 0 1 8.1E+02 9 3.1E-06 1494.05 118 SAFH 268 111 0 1 75 20 0.00023 1488.28 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 269 112 0 1 75 9 4.1E-06 1494.04 120 SAFH 270 113 0 1 61 19 0.00029 1484.35 121 SAFH 271 114 0 1 2.3 20 0.00015 1484.33 122 SAFH 272 115 0 1 60 8 3.1E-06 1494.04 123 SAFH 273 116 0 1 19 11 1.1E-05 1498.17 124 SAFH 274 117 0 1 8.1E+02 7 2.3E-06 2728.41 125 SAFH 275 118 0 1 8.5E+02 20 0.00014 1484.33 126 SAFH 276 119 0 1 1.5 19 0.00013 1484.33 127 SAFH 277 120 0 1 60 6 2.1E-06 1494.04 128 SAFH 278 121 0 1 6.5E+02 11 6E-06 2602.69 129 SAFH 279 122 0 1 0.16 12 5.8E-06 2602.69 130 SAFH 280 123 0 1 6.5E+02 3 2E-06 1494.04 131 SAFH 281 124 0 1 0.0044 2 1.5E-06 1494.04 132 SAFH 282 125 0 1 0.14 1 1.1E-06 1494.04 133 SAFH 283 126 0 1 7.2E+02 10 3.6E-06 2653.01 134 SAFJ 284 127 0 1 7.2E+02 0 9.2E-07 1494.04 135 SAFH 284 127 0 0.5 8.1E+02 9 3E-06 2732.53 136 SAFH 285 128 0 0.5 1.2E+02 8 2.6E-06 2673.38 137 SAFJ 286 129 0 0.5 1.6E+02 0 9.2E-07 2626.21 138 SAFJ 286 129 0 0.3 0 0 9.2E-07 2626.21 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFJ 286 129 0 0.2 0 0 9.2E-07 2626.21 140 SAFH 286 129 0 0.1 2.6E+02 7 2.6E-06 2626.93 141 SAFJ 287 130 0 0.1 1.5E+02 0 9.2E-07 2656.26 142 AFG 287 130 0 0 2.2E+02 0 4.4E-16 2741.99 142 FOUND SOLUTION: 2741.99 (NLP) in 26 sec. 143 AFH 287 130 0 0 9.4 17 0.0035 2743.82 144 AFH 290 131 0 0 8.1 17 0.0015 2742.99 145 AFH 291 132 0 0 3.2 17 0.00091 2742.98 146 AFG 292 133 0 0 44 0 2.2E-16 2742.65 146 FOUND SOLUTION: 2742.65 (NLP) in 29 sec. 147 AFH 292 133 0 0 3.5 12 0.00066 2742.88 148 AFH 293 134 0 0 41 17 0.0011 2742.85 149 AFH 294 135 0 0 41 12 0.00052 2742.84 150 AFH 295 136 0 0 0.78 12 0.00024 2742.8 151 AFH 296 137 0 0 1.3 11 0.00023 2742.8 152 AFH 297 138 0 0 1.6 12 0.00023 2742.75 153 AFH 298 139 0 0 0.051 12 0.00021 2742.73 154 AFH 299 140 0 0 0.092 12 0.00013 2742.7 155 AFH 300 141 0 0 1.6 11 6.1E-05 2742.69 156 AFH 301 142 0 0 0.25 11 5.8E-05 2742.69 157 AFH 302 143 0 0 0.0041 10 5.8E-05 2742.68 158 AFH 303 144 0 0 0.023 11 5.3E-05 2742.67 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 304 145 0 0 0.046 11 3.2E-05 2742.66 160 AFH 305 146 0 0 0.91 11 1.5E-05 2742.66 161 AFH 306 147 0 0 0.00099 10 1.4E-05 2742.66 162 AFH 307 148 0 0 0.012 10 1.3E-05 2742.66 163 AFH 308 149 0 0 0.023 10 1.3E-05 2742.65 164 AFH 309 150 0 0 0.012 9 8.1E-06 2742.65 165 AFH 310 151 0 0 0.46 11 3.3E-06 2742.65 166 AFH 311 152 0 0 0.012 9 3.2E-06 2742.65 167 AFH 312 153 0 0 0.006 9 2.3E-06 2742.65 168 AFH 313 154 0 0 0.15 7 3.7E-06 2742.65 169 AFH 314 155 0 0 0.14 7 2.1E-06 2742.65 170 AFH 315 156 0 0 0.11 6 2E-06 2742.65 171 AFH 316 157 0 0 0.23 4 1.5E-06 2742.65 172 AFH 317 158 0 0 0.37 4 6.1E-06 2742.65 173 AFH 318 159 0 0 0.35 3 1.5E-06 2742.65 174 AFH 319 160 0 0 0.015 2 1.5E-06 2742.65 175 AFH 320 161 0 0 0.034 1 1.3E-06 2742.65 176 AFJ 321 162 0 0 0.0039 0 9.8E-07 2742.65 176 FOUND SOLUTION: 2742.65 in 51 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.45_RSyn0840M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2742.6456516411162738 Max constraint (5) : 2.2204460492503130808e-16 Alternative solution : MIP Alt. objective value : 2742.6473023650805771 Max constraint (42) : 9.8491410893686293093e-07 Time used (seconds) : 50.15 Time limit (seconds) : 7200 Iterations used : 176 Iteration limit : -1 Function evaluations : 16548 Gradient evaluations : 321 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 10.4 % MIP time usage : 89.5 % Optimal/total MIPs : 35/176 NLP solver calls : 177 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M03M.gms(5492) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M03M.gms Stop 09/14/12 14:38:39 elapsed 0:00:50.215 @04 1347626319 ----------------------------- Fr 14. Sep 14:38:39 CEST 2012 ----------------------------- =ready= Linux opt207 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M04H.gms =========== ----------------------------- Fr 14. Sep 14:37:52 CEST 2012 ----------------------------- @03 1347626272 --- Job RSyn0840M04H.gms Start 09/14/12 14:37:52 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M04H.gms(11089) 4 Mb --- Starting execution: elapsed 0:00:00.033 --- RSyn0840M04H.gms(11087) 5 Mb --- Generating MINLP model m --- RSyn0840M04H.gms(11089) 8 Mb --- 4,981 rows 2,721 columns 11,685 non-zeroes --- 1,880 nl-code 336 nl-non-zeroes --- 576 discrete-columns --- RSyn0840M04H.gms(11089) 6 Mb --- Executing ALPHAECP: elapsed 0:00:00.054 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.46_RSyn0840M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 11685 elements of which 3% are non-linear(NL) included in 4981 constraints of which 2% are NL The NL constraint signs: =E=(0), =G=(0), =L=(112) The number of variables in NL elements are 320 from a total of 2721 variables: Continuous(2145), Binary(576), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=713 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (2706) infeasibile 0 H 0 0 0 1 0 112 0.11 NA 1 SAFG 112 1 0 1 3.5E+03 0 2.2E-14 139.293 1 FOUND SOLUTION: 139.293 (NLP) in 1 sec. 2 SAFH 112 1 0 1 4.8E+02 37 2.4 3775.93 3 SAFH 128 2 0 1 92 39 1.1 3196.01 4 SAFH 148 3 0 1 84 41 2 3167.62 5 SAFH 159 4 0 1 1.2E+02 34 0.83 1885.13 6 SAFH 171 5 0 1 1.3E+02 32 1.7 1593.31 7 SAFH 175 6 0 1 3E+02 40 0.52 1393.4 8 SAFH 185 7 0 1 57 30 0.73 1242.09 9 SAFH 191 8 0 1 10 24 0.2 981.52 10 SAFH 211 9 0 1 3.6E+02 33 0.73 1281.35 11 SAFH 214 10 0 1 1.7E+02 29 0.33 345.541 12 SAFH 217 11 0 1 2.3E+02 29 0.064 321.253 13 SAFH 234 12 0 1 1.4E+02 29 0.06 156.239 14 SAFH 236 13 0 1 77 29 0.029 153.34 15 SAFH 238 14 0 1 35 29 0.014 151.629 16 SAFH 248 15 0 1 34 29 0.0096 144.726 17 SAFH 255 16 0 1 70 28 0.022 138.276 18 SAFH 256 17 0 1 15 28 0.0085 137.847 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 259 18 0 1 36 28 0.0037 135.672 20 SAFH 268 19 0 1 24 29 0.0025 132.219 21 SAFH 277 20 0 1 23 28 0.0019 129.612 22 SAFH 279 21 0 1 7.8 28 0.0009 129.385 23 SAFH 280 22 0 1 0.1 27 0.00089 129.338 24 SAFH 281 23 0 1 0.0047 26 0.00085 129.023 25 SAFH 282 24 0 1 3.5 27 0.00081 128.897 26 SAFH 283 25 0 1 9.9 27 0.00069 128.847 27 SAFH 284 26 0 1 2.7 27 0.00055 128.821 28 SAFH 285 27 0 1 0.2 27 0.00055 128.601 29 SAFH 286 28 0 1 0.16 27 0.00055 128.477 30 SAFH 287 29 0 1 0.33 27 0.0005 128.423 31 SAFH 288 30 0 1 0.25 28 0.00047 128.408 32 SAFH 289 31 0 1 0.13 28 0.00042 128.298 33 SAFH 290 32 0 1 3.1 28 0.00042 128.285 34 SAFH 291 33 0 1 0.88 27 0.00042 128.235 35 SAFH 292 34 0 1 0.23 26 0.00039 128.17 36 SAFH 293 35 0 1 2.2 27 0.00034 128.164 37 SAFH 294 36 0 1 6.9 27 0.0004 128.099 38 SAFH 295 37 0 1 5.9 27 0.00032 128.069 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 296 38 0 1 0.2 27 0.00026 127.957 40 SAFH 297 39 0 1 6.5 27 0.0002 127.926 41 SAFH 298 40 0 1 0.0036 26 0.00014 127.87 42 SAFH 299 41 0 1 0.98 26 0.00014 127.836 43 SAFH 300 42 0 1 0.015 25 0.00014 127.829 44 SAFH 301 43 0 1 0.08 25 0.00014 127.798 45 SAFH 302 44 0 1 0.17 25 0.00034 127.771 46 SAFH 303 45 0 1 0.2 25 0.00014 127.713 47 SAFH 304 46 0 1 0.079 25 0.00025 127.67 48 SAFH 305 47 0 1 0.094 25 0.00012 127.659 49 SAFH 306 48 0 1 0.12 26 0.00012 127.651 50 SAFH 307 49 0 1 0.066 26 0.00011 127.628 51 SAFH 308 50 0 1 0.12 25 0.00011 127.595 52 SAFH 309 51 0 1 1.6 27 0.00011 127.591 53 SAFH 310 52 0 1 0.99 26 9.9E-05 127.576 54 SAFH 311 53 0 1 1.1 26 9.8E-05 127.575 55 SAFH 312 54 0 1 1.1 26 0.00017 127.553 56 SAFH 313 55 0 1 1.4 25 8.7E-05 127.547 57 SAFH 314 56 0 1 0.061 25 0.00012 127.545 58 SAFH 315 57 0 1 2.8 26 0.00018 127.534 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 316 58 0 1 2.3 24 8.4E-05 127.521 60 SAFH 317 59 0 1 0.098 24 8E-05 127.492 61 SAFH 318 60 0 1 0.097 24 0.00015 127.484 62 SAFH 319 61 0 1 0.15 24 7.5E-05 127.448 63 SAFH 320 62 0 1 3 24 0.00027 127.426 64 SAFH 321 63 0 1 1.6 22 6.9E-05 127.415 65 SAFH 322 64 0 1 0.82 23 6.4E-05 127.414 66 SAFH 323 65 0 1 1.4 23 6.3E-05 127.399 67 SAFH 324 66 0 1 0.048 24 5.8E-05 127.393 68 SAFH 325 67 0 1 0.05 24 5.2E-05 127.381 69 SAFH 326 68 0 1 1.7 24 4.6E-05 127.376 70 SAFH 327 69 0 1 0.43 24 4.4E-05 127.369 71 SAFH 328 70 0 1 0.69 23 3.7E-05 127.369 72 SAFH 329 71 0 1 0.046 23 3.5E-05 127.351 73 SAFH 330 72 0 1 0.71 23 3.5E-05 127.35 74 SAFH 331 73 0 1 0.07 23 3.1E-05 127.345 75 SAFH 332 74 0 1 0.062 24 3E-05 127.342 76 SAFH 333 75 0 1 0.033 25 2.7E-05 127.337 77 SAFH 334 76 0 1 0.059 25 4.6E-05 127.323 78 SAFH 335 77 0 1 0.066 24 2.5E-05 127.321 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 336 78 0 1 0.56 24 2.1E-05 127.321 80 SAFH 337 79 0 1 0.049 24 1.6E-05 127.32 81 SAFH 338 80 0 1 0.024 24 2.3E-05 127.317 82 SAFH 339 81 0 1 1.1 22 1.6E-05 127.314 83 SAFH 340 82 0 1 1.1 23 1.4E-05 127.311 84 SAFH 341 83 0 1 0.025 23 1.6E-05 127.308 85 SAFH 342 84 0 1 0.024 22 1.4E-05 127.307 86 SAFH 343 85 0 1 0.0011 21 1.4E-05 127.306 87 SAFH 344 86 0 1 0.45 21 1.5E-05 127.304 88 SAFH 345 87 0 1 0.45 19 1.3E-05 127.302 89 SAFH 346 88 0 1 0.46 19 1.1E-05 127.299 90 SAFH 347 89 0 1 0.033 20 1.1E-05 127.298 91 SAFH 348 90 0 1 0.35 22 1.2E-05 127.298 92 SAFH 349 91 0 1 0.7 20 9.2E-06 127.296 93 SAFH 350 92 0 1 0.036 19 8.9E-06 127.295 94 SAFH 351 93 0 1 0.35 19 8.7E-06 127.295 95 SAFH 352 94 0 1 0.042 20 8E-06 127.292 96 SAFH 353 95 0 1 0.04 19 7.7E-06 127.291 97 SAFH 354 96 0 1 0.01 18 7.5E-06 127.288 98 SAFH 355 97 0 1 0.61 18 6.7E-06 127.287 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 356 98 0 1 0.016 18 6.2E-06 127.286 100 SAFH 357 99 0 1 0.28 18 5.7E-06 127.286 101 SAFH 358 100 0 1 0.016 19 5.2E-06 127.284 102 SAFH 359 101 0 1 0.22 19 4.1E-06 127.284 103 SAFH 360 102 0 1 0.012 19 3.6E-06 127.283 104 SAFH 361 103 0 1 0.02 17 3.4E-06 127.282 105 SAFH 362 104 0 1 0.63 18 3.1E-06 127.281 106 SAFH 363 105 0 1 0.63 15 2.9E-06 127.28 107 SAFH 364 106 0 1 0.017 15 2.8E-06 127.279 108 SAFH 365 107 0 1 0.01 13 2.7E-06 127.279 109 SAFH 366 108 0 1 0.17 12 2.3E-06 127.279 110 SAFH 367 109 0 1 0.0085 12 2E-06 127.278 111 SAFH 368 110 0 1 0.02 11 1.9E-06 127.278 112 SAFH 369 111 0 1 0.0094 10 1.9E-06 127.278 113 SAFH 370 112 0 1 0.3 8 2.1E-06 127.277 114 SAFH 371 113 0 1 0.41 8 2.2E-06 127.277 115 SAFH 372 114 0 1 0.17 7 1.7E-06 127.277 116 SAFH 373 115 0 1 0.013 6 1.9E-06 127.276 117 SAFH 374 116 0 1 0.015 5 1.6E-06 127.276 118 SAFH 375 117 0 1 0.14 3 1.3E-06 127.276 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 376 118 0 1 0.11 2 1.2E-06 127.276 120 SAFH 377 119 0 1 0.17 2 1.2E-06 127.276 121 SAFH 378 120 0 1 0.17 1 1E-06 127.276 122 SAFJL 379 121 0 1 0.006 0 9.3E-07 127.276 123 SAFG 267 120 0 0.5 4.6E+03 0 1.1E-16 2480.42 123 FOUND SOLUTION: 2480.42 (NLP) in 22 sec. 124 SAFH 267 120 0 0.5 4.4E+02 52 2.9 5920.15 125 SAFG 275 121 0 0.5 4.7E+02 0 1.2E-10 2492.42 125 FOUND SOLUTION: 2492.42 (NLP) in 22 sec. 126 SAFH 275 121 0 0.5 4E+02 50 1.3 5537.63 127 SAFH 291 122 0 0.5 4.2E+02 41 1.1 3006.26 128 SAFH 294 123 0 0.5 1.5E+02 38 0.6 2890.13 129 SAFG 301 124 0 0.5 2.4E+02 0 1.7E-16 2518.29 129 FOUND SOLUTION: 2518.29 (NLP) in 23 sec. 130 SAFH 301 124 0 0.5 1.4E+02 29 0.2 2603.37 131 SAFG 304 125 0 0.5 1.5E+02 0 1.1E-16 2532.22 131 FOUND SOLUTION: 2532.22 (NLP) in 23 sec. 132 SAFH 304 125 0 0.5 1.3E+02 30 0.066 2595.77 133 SAFH 310 126 0 0.5 1.4E+02 29 0.065 2565.02 134 SAFH 311 127 0 0.5 23 29 0.025 2564.48 135 SAFH 315 128 0 0.5 31 30 0.012 2554.93 136 SAFH 322 129 0 0.5 64 31 0.019 2540.98 137 SAFH 323 130 0 0.5 18 31 0.0058 2540.74 138 SAFH 329 131 0 0.5 40 31 0.013 2537.43 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 330 132 0 0.5 0.76 30 0.0048 2537.04 140 SAFH 332 133 0 0.5 6.8 30 0.0022 2536.93 141 SAFH 340 134 0 0.5 28 31 0.0019 2534.51 142 SAFG 345 135 0 0.5 37 0 1.1E-16 2538.83 142 FOUND SOLUTION: 2538.83 (NLP) in 25 sec. 143 SAFH 345 135 0 0.5 22 33 0.021 2549.54 144 SAFH 346 136 0 0.5 13 32 0.0049 2543.81 145 SAFH 348 137 0 0.5 0.35 32 0.0013 2540.72 146 SAFH 349 138 0 0.5 1.7 32 0.00082 2540.68 147 SAFH 350 139 0 0.5 4.8 33 0.0012 2540.54 148 SAFH 351 140 0 0.5 0.21 33 0.0007 2540.38 149 SAFH 352 141 0 0.5 5.5 32 0.00067 2540.1 150 SAFH 353 142 0 0.5 2.7 31 0.00063 2540.1 151 SAFH 354 143 0 0.5 0.16 31 0.0006 2540.08 152 SAFH 355 144 0 0.5 0.15 31 0.00053 2539.94 153 SAFH 356 145 0 0.5 0.14 32 0.00052 2539.86 154 SAFH 357 146 0 0.5 3.3 32 0.00044 2539.86 155 SAFH 358 147 0 0.5 0.13 31 0.00034 2539.85 156 SAFH 359 148 0 0.5 1.7 31 0.00033 2539.82 157 SAFH 360 149 0 0.5 4.7 31 0.00032 2539.78 158 SAFH 361 150 0 0.5 0.12 31 0.00033 2539.66 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 362 151 0 0.5 0.11 30 0.00031 2539.61 160 SAFH 363 152 0 0.5 0.023 29 0.0003 2539.6 161 SAFH 364 153 0 0.5 0.11 29 0.00021 2539.51 162 SAFH 365 154 0 0.5 0.092 29 0.00031 2539.41 163 SAFH 366 155 0 0.5 0.1 28 0.00017 2539.39 164 SAFH 367 156 0 0.5 0.091 28 0.00017 2539.36 165 SAFH 368 157 0 0.5 1.3 30 0.0002 2539.35 166 SAFH 369 158 0 0.5 4 29 0.00023 2539.34 167 SAFH 370 159 0 0.5 1.4 29 0.00016 2539.32 168 SAFH 371 160 0 0.5 1.8 28 0.00015 2539.26 169 SAFH 372 161 0 0.5 0.074 28 0.00015 2539.25 170 SAFH 373 162 0 0.5 0.081 27 0.00014 2539.22 171 SAFH 374 163 0 0.5 1.9 27 0.00013 2539.17 172 SAFH 375 164 0 0.5 1.7 29 0.00019 2539.16 173 SAFH 376 165 0 0.5 1.3 28 0.00013 2539.16 174 SAFH 377 166 0 0.5 0.07 28 0.00011 2539.12 175 SAFH 378 167 0 0.5 0.066 28 0.0001 2539.11 176 SAFH 379 168 0 0.5 1.1 27 9.2E-05 2539.08 177 SAFH 380 169 0 0.5 0.0067 26 8.7E-05 2539.08 178 SAFH 381 170 0 0.5 0.99 26 8.1E-05 2539.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 382 171 0 0.5 0.052 26 7.9E-05 2539.04 180 SAFH 383 172 0 0.5 0.053 27 7.6E-05 2539.03 181 SAFH 384 173 0 0.5 0.053 26 7.5E-05 2538.99 182 SAFH 385 174 0 0.5 0.052 27 7.2E-05 2538.98 183 SAFH 386 175 0 0.5 2 28 5.8E-05 2538.97 184 SAFH 387 176 0 0.5 1.2 28 4.4E-05 2538.96 185 SAFH 388 177 0 0.5 0.54 28 3.7E-05 2538.95 186 SAFH 389 178 0 0.5 0.04 27 3.6E-05 2538.95 187 SAFH 390 179 0 0.5 0.035 27 3.3E-05 2538.94 188 SAFH 391 180 0 0.5 0.85 27 3.2E-05 2538.94 189 SAFH 392 181 0 0.5 0.035 26 3E-05 2538.92 190 SAFH 393 182 0 0.5 0.038 25 2.8E-05 2538.91 191 SAFH 394 183 0 0.5 0.033 26 2.7E-05 2538.91 192 SAFH 395 184 0 0.5 0.86 27 2.6E-05 2538.91 193 SAFH 396 185 0 0.5 0.87 26 2.6E-05 2538.9 194 SAFH 397 186 0 0.5 0.51 27 2.2E-05 2538.9 195 SAFH 398 187 0 0.5 0.76 29 2E-05 2538.9 196 SAFH 399 188 0 0.5 0.026 29 2E-05 2538.89 197 SAFH 400 189 0 0.5 0.027 29 1.9E-05 2538.88 198 SAFH 401 190 0 0.5 0.026 29 3.3E-05 2538.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 402 191 0 0.5 1.8 27 4.2E-05 2538.88 200 SAFH 403 192 0 0.5 0.66 27 2.1E-05 2538.87 201 SAFH 404 193 0 0.3 1.7 27 1.8E-05 2538.87 202 SAFH 405 194 0 0.3 0.026 26 1.8E-05 2538.87 203 SAFH 406 195 0 0.3 1.4 25 1.8E-05 2538.87 204 SAFH 407 196 0 0.3 0.87 25 1.6E-05 2538.86 205 SAFH 408 197 0 0.3 0.41 25 1.6E-05 2538.86 206 SAFH 409 198 0 0.3 0.024 24 1.3E-05 2538.86 207 SAFH 410 199 0 0.3 0.41 22 9.3E-06 2538.86 208 SAFH 411 200 0 0.3 0.02 21 9.2E-06 2538.86 209 SAFH 412 201 0 0.3 0.86 23 8.3E-06 2538.86 210 SAFH 413 202 0 0.3 0.018 24 8.2E-06 2538.85 211 SAFH 414 203 0 0.3 0.42 24 7.5E-06 2538.85 212 SAFH 415 204 0 0.3 0.019 25 7E-06 2538.85 213 SAFH 416 205 0 0.3 0.017 25 6.7E-06 2538.84 214 SAFH 417 206 0 0.3 0.43 27 6.3E-06 2538.84 215 SAFH 418 207 0 0.3 0.014 26 5.4E-06 2538.84 216 SAFH 419 208 0 0.3 0.38 24 5E-06 2538.84 217 SAFH 420 209 0 0.3 0.013 24 9.3E-06 2538.84 218 SAFH 421 210 0 0.3 0.021 23 5E-06 2538.84 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 422 211 0 0.3 0.013 22 4.8E-06 2538.84 220 SAFH 423 212 0 0.3 0.00035 21 4.7E-06 2538.84 221 SAFH 424 213 0 0.3 0.013 22 4.5E-06 2538.84 222 SAFH 425 214 0 0.3 0.013 23 4.5E-06 2538.84 223 SAFH 426 215 0 0.3 0.013 23 4.5E-06 2538.84 224 SAFH 427 216 0 0.3 0.014 22 4.4E-06 2538.84 225 SAFH 428 217 0 0.3 0.21 21 4.1E-06 2538.84 226 SAFH 429 218 0 0.3 0.034 20 3.9E-06 2538.84 227 SAFH 430 219 0 0.3 0.012 20 3.5E-06 2538.84 228 SAFH 431 220 0 0.3 0.3 18 2.7E-06 2538.83 229 SAFH 432 221 0 0.3 0.46 15 6.3E-06 2538.83 230 SAFH 433 222 0 0.3 0.00046 14 2.3E-06 2538.83 231 SAFH 434 223 0 0.3 0.38 13 2.8E-06 2538.83 232 SAFH 435 224 0 0.3 0.37 14 2.3E-06 2538.83 233 SAFH 436 225 0 0.3 0.0099 13 2.1E-06 2538.83 234 SAFH 437 226 0 0.3 0.0091 12 2.1E-06 2538.83 235 SAFH 438 227 0 0.3 0.039 11 2.6E-06 2538.83 236 SAFH 439 228 0 0.3 0.16 10 1.8E-06 2538.83 237 SAFH 440 229 0 0.3 0.0084 9 1.6E-06 2538.83 238 SAFH 441 230 0 0.3 0.0072 8 1.3E-06 2538.83 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 442 231 0 0.3 0.54 7 2.6E-06 2538.83 240 SAFH 443 232 0 0.3 0.011 6 2.6E-06 2538.83 241 SAFH 444 233 0 0.3 0.00019 5 1.3E-06 2538.83 242 SAFH 445 234 0 0.3 0.0065 4 1.2E-06 2538.83 243 SAFH 446 235 0 0.3 0.0067 3 1.1E-06 2538.83 244 SAFH 447 236 0 0.3 0.0065 2 1.1E-06 2538.83 245 SAFH 448 237 0 0.3 0.007 1 1E-06 2538.83 246 SAFH 449 238 0 0.3 0.11 2 1.3E-06 2538.83 247 SAFJ 450 239 0 0.3 0.28 0 9.8E-07 2538.83 247 FOUND SOLUTION: 2538.83 in 44 sec. 248 SAFJ 450 239 0 0.2 0 0 9.8E-07 2538.83 249 SAFJ 450 239 0 0.1 0 0 9.8E-07 2538.83 250 AFG 450 239 0 0 4.6E+02 0 1.1E-16 2564.5 250 FOUND SOLUTION: 2564.5 (NLP) in 44 sec. 251 AFH 450 239 0 0 25 33 0.019 2566.73 252 AFH 451 240 0 0 16 33 0.0051 2565.95 253 AFH 454 241 0 0 46 33 0.0013 2565.82 254 AFH 456 242 0 0 5 32 0.00098 2565.71 255 AFH 457 243 0 0 5.1 32 0.00097 2565.63 256 AFH 458 244 0 0 0.34 32 0.00083 2565.34 257 AFH 459 245 0 0 0.53 32 0.0009 2565.06 258 AFH 460 246 0 0 4.4 33 0.00081 2564.98 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 461 247 0 0 4.8 30 0.00033 2564.97 260 AFH 462 248 0 0 22 30 0.00039 2564.97 261 AFH 463 249 0 0 24 29 0.00033 2564.91 262 AFH 464 250 0 0 0.3 29 0.0003 2564.9 263 AFH 465 251 0 0 20 28 0.00027 2564.88 264 AFH 466 252 0 0 20 27 0.00025 2564.87 265 AFH 467 253 0 0 22 28 0.00024 2564.85 266 AFH 468 254 0 0 23 28 0.00024 2564.83 267 AFH 469 255 0 0 20 28 0.00028 2564.73 268 AFH 470 256 0 0 0.17 28 0.0002 2564.72 269 AFH 471 257 0 0 2.2 29 0.00017 2564.71 270 AFH 472 258 0 0 3.4 28 0.00017 2564.69 271 AFH 473 259 0 0 0.18 27 9.7E-05 2564.68 272 AFH 474 260 0 0 0.061 28 8.1E-05 2564.65 273 AFH 475 261 0 0 1 28 7.3E-05 2564.65 274 AFH 476 262 0 0 2.6 27 6.9E-05 2564.63 275 AFH 477 263 0 0 0.084 27 0.0001 2564.63 276 AFH 478 264 0 0 0.059 27 6.9E-05 2564.62 277 AFH 479 265 0 0 0.093 28 6.5E-05 2564.61 278 AFH 480 266 0 0 1.7 28 5E-05 2564.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 481 267 0 0 1.2 28 4.3E-05 2564.6 280 AFH 482 268 0 0 1.7 29 3.8E-05 2564.59 281 AFH 483 269 0 0 20 29 3E-05 2564.59 282 AFH 484 270 0 0 20 29 2.9E-05 2564.58 283 AFH 485 271 0 0 0.037 29 2.6E-05 2564.57 284 AFH 486 272 0 0 20 28 2.5E-05 2564.57 285 AFH 487 273 0 0 2.3 29 4.2E-05 2564.56 286 AFH 488 274 0 0 21 29 2.5E-05 2564.56 287 AFH 489 275 0 0 1.7 28 2.4E-05 2564.56 288 AFH 490 276 0 0 0.03 28 2.3E-05 2564.56 289 AFH 491 277 0 0 0.46 28 1.8E-05 2564.56 290 AFH 492 278 0 0 1.3 29 2.8E-05 2564.56 291 AFH 493 279 0 0 0.0021 28 2.7E-05 2564.55 292 AFH 494 280 0 0 21 28 1.7E-05 2564.55 293 AFH 495 281 0 0 20 29 1.7E-05 2564.54 294 AFH 496 282 0 0 20 28 1.7E-05 2564.54 295 AFH 497 283 0 0 1.2 27 1.9E-05 2564.54 296 AFH 498 284 0 0 20 26 1.6E-05 2564.54 297 AFH 499 285 0 0 0.33 23 2E-05 2564.53 298 AFH 500 286 0 0 0.5 25 1.2E-05 2564.53 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 501 287 0 0 0.023 26 1.1E-05 2564.53 300 AFH 502 288 0 0 20 23 1E-05 2564.53 301 AFH 503 289 0 0 20 25 7.4E-06 2564.53 302 AFH 504 290 0 0 0.017 26 7E-06 2564.53 303 AFH 505 291 0 0 0.00051 25 7E-06 2564.53 304 AFH 506 292 0 0 0.27 25 6.7E-06 2564.53 305 AFH 507 293 0 0 0.016 24 6.6E-06 2564.52 306 AFH 508 294 0 0 0.017 24 6.5E-06 2564.52 307 AFH 509 295 0 0 0.015 25 6.3E-06 2564.52 308 AFH 510 296 0 0 0.0092 24 9.6E-06 2564.52 309 AFH 511 297 0 0 20 24 6E-06 2564.52 310 AFH 512 298 0 0 20 23 5.9E-06 2564.52 311 AFH 513 299 0 0 0.54 23 1E-05 2564.52 312 AFH 514 300 0 0 0.55 22 5.8E-06 2564.52 313 AFH 515 301 0 0 0.02 21 5.1E-06 2564.52 314 AFH 516 302 0 0 0.25 22 5E-06 2564.52 315 AFH 517 303 0 0 0.26 24 4.7E-06 2564.51 316 AFH 518 304 0 0 0.014 25 4.3E-06 2564.51 317 AFH 519 305 0 0 20 24 4.3E-06 2564.51 318 AFH 520 306 0 0 20 24 3E-06 2564.51 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 521 307 0 0 0.012 23 5.9E-06 2564.51 320 AFH 522 308 0 0 0.39 23 2.9E-06 2564.51 321 AFH 523 309 0 0 0.67 20 2.6E-06 2564.51 322 AFH 524 310 0 0 20 16 2.6E-06 2564.51 323 AFH 525 311 0 0 0.27 14 2.4E-06 2564.51 324 AFH 526 312 0 0 20 14 1.8E-06 2564.51 325 AFH 527 313 0 0 0.0094 12 1.7E-06 2564.51 326 AFH 528 314 0 0 0.0078 12 2E-06 2564.51 327 AFH 529 315 0 0 0.0079 11 1.6E-06 2564.51 328 AFH 530 316 0 0 0.0073 10 1.6E-06 2564.51 329 AFH 531 317 0 0 0.0082 9 1.5E-06 2564.51 330 AFH 532 318 0 0 0.0075 8 1.5E-06 2564.51 331 AFH 533 319 0 0 0.0071 7 1.5E-06 2564.5 332 AFH 534 320 0 0 0.0073 6 1.5E-06 2564.5 333 AFH 535 321 0 0 0.45 9 2E-06 2564.5 334 AFH 536 322 0 0 0.45 4 1.5E-06 2564.5 335 AFH 537 323 0 0 20 4 1.3E-06 2564.5 336 AFH 538 324 0 0 20 3 1.2E-06 2564.5 337 AFH 539 325 0 0 0.0067 2 1.1E-06 2564.5 338 AFH 540 326 0 0 20 1 1.1E-06 2564.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFJ 541 327 0 0 20 0 8.9E-07 2564.5 339 FOUND SOLUTION: 2564.5 in 78 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.46_RSyn0840M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2564.4999519406596846 Max constraint (7) : 1.1102241348481810742e-16 Alternative solution : MIP Alt. objective value : 2564.5027177212177776 Max constraint (58) : 8.8735464790736020593e-07 Time used (seconds) : 77.14 Time limit (seconds) : 7200 Iterations used : 339 Iteration limit : -1 Function evaluations : 67536 Gradient evaluations : 653 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 39.6 % MIP time usage : 60.1 % Optimal/total MIPs : 90/339 NLP solver calls : 340 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M04H.gms(11089) 4 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M04H.gms Stop 09/14/12 14:39:10 elapsed 0:01:17.230 @04 1347626350 ----------------------------- Fr 14. Sep 14:39:10 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M04M.gms =========== ----------------------------- Fr 14. Sep 14:37:53 CEST 2012 ----------------------------- @03 1347626273 --- Job RSyn0840M04M.gms Start 09/14/12 14:37:53 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M04M.gms(8131) 3 Mb --- Starting execution: elapsed 0:00:00.050 --- RSyn0840M04M.gms(8129) 4 Mb --- Generating MINLP model m --- RSyn0840M04M.gms(8131) 7 Mb --- 3,729 rows 1,441 columns 9,201 non-zeroes --- 760 nl-code 112 nl-non-zeroes --- 576 discrete-columns --- RSyn0840M04M.gms(8131) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.084 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.47_RSyn0840M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 9201 elements of which 1% are non-linear(NL) included in 3729 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(112) The number of variables in NL elements are 112 from a total of 1441 variables: Continuous(865), Binary(576), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=460 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 4.2E+03 0 4.4E-16 1544.62 1 FOUND SOLUTION: 1544.62 (NLP) in 1 sec. 2 SAFH 0 0 0 1 3.6E+02 68 2.9 9205.17 3 SAFH 20 1 0 1 76 64 2.4 8428.42 4 SAFH 24 2 0 1 29 60 0.83 8356.49 5 SAFH 68 3 0 1 1E+02 56 1.7 5892.58 6 SAFH 88 4 0 1 3E+02 48 2 3185.14 7 SAFH 92 5 0 1 60 53 0.82 3149.18 8 SAFH 96 6 0 1 25 41 0.38 2924.48 9 SAFG 111 7 0 1 90 0 4.4E-15 1550.2 9 FOUND SOLUTION: 1550.2 (NLP) in 2 sec. 10 SAFH 111 7 0 1 69 25 0.39 2351.59 11 SAFG 115 8 0 1 1E+02 0 2.2E-14 1567.2 11 FOUND SOLUTION: 1567.2 (NLP) in 3 sec. 12 SAFH 115 8 0 1 66 21 0.16 2140.96 13 SAFG 131 9 0 1 3.2E+02 0 1.5E-14 2329.42 13 FOUND SOLUTION: 2329.42 (NLP) in 3 sec. 14 SAFH 131 9 0 1 1.9E+02 38 0.85 2637.48 15 SAFG 135 10 0 1 2.2E+02 0 5.8E-12 2346.36 15 FOUND SOLUTION: 2346.36 (NLP) in 3 sec. 16 SAFH 135 10 0 1 2.2E+02 30 0.12 2539.11 17 SAFH 142 11 0 1 2.9E+02 31 0.15 2490.51 18 SAFH 143 12 0 1 17 31 0.065 2487.62 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 151 13 0 1 2.1E+02 31 0.043 1726.24 20 SAFH 159 14 0 1 65 30 0.033 1702.21 21 SAFH 163 15 0 1 1.3E+02 32 0.062 1656.83 22 SAFH 165 16 0 1 65 31 0.031 1660.75 23 SAFH 171 17 0 1 45 30 0.018 1635.82 24 SAFH 172 18 0 1 10 30 0.0086 1635.4 25 SAFH 182 19 0 1 25 31 0.0082 1618.49 26 SAFH 187 20 0 1 42 30 0.0061 1623.68 27 SAFH 194 21 0 1 19 30 0.003 1620.18 28 SAFH 202 22 0 1 60 30 0.038 1645.56 29 SAFH 204 23 0 1 72 33 0.0093 1641.67 30 SAFH 208 24 0 1 43 34 0.0085 1622.68 31 SAFH 209 25 0 1 23 33 0.0032 1626.24 32 SAFH 214 26 0 1 6.8 32 0.0015 1623.14 33 SAFH 219 27 0 1 26 34 0.002 1614.59 34 SAFH 222 28 0 1 0.66 34 0.0011 1613.52 35 SAFH 223 29 0 1 33 33 0.0048 1636.81 36 SAFH 224 30 0 1 30 34 0.00099 1613.49 37 SAFH 225 31 0 1 4 33 0.0013 1613.2 38 SAFH 226 32 0 1 4.1 33 0.00099 1613.18 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 227 33 0 1 0.091 33 0.00093 1613.11 40 SAFH 228 34 0 1 24 34 0.00093 1621.93 41 SAFH 229 35 0 1 24 34 0.00093 1613.05 42 SAFH 230 36 0 1 7.2 33 0.00077 1612.95 43 SAFH 231 37 0 1 0.73 31 0.00069 1612.55 44 SAFH 232 38 0 1 0.17 31 0.00062 1612.43 45 SAFH 233 39 0 1 42 32 0.0019 1634.72 46 SAFH 236 40 0 1 8.9 32 0.0015 1634.17 47 SAFH 238 41 0 1 5.5 30 0.00054 1633.98 48 SAFH 239 42 0 1 1.1 31 0.00064 1633.93 49 SAFH 240 43 0 1 39 33 0.00052 1612.22 50 SAFH 241 44 0 1 15 34 0.00051 1621.1 51 SAFH 242 45 0 1 0.069 34 0.0005 1620.99 52 SAFH 243 46 0 1 0.056 34 0.00047 1620.89 53 SAFH 244 47 0 1 1.5 34 0.00043 1620.76 54 SAFH 245 48 0 1 0.063 34 0.00042 1620.55 55 SAFH 246 49 0 1 15 33 0.00039 1611.42 56 SAFH 247 50 0 1 15 34 0.00039 1620.42 57 SAFH 248 51 0 1 45 31 0.00049 1626.25 58 SAFH 249 52 0 1 28 32 0.00046 1611.15 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 250 53 0 1 29 31 0.00041 1626.13 60 SAFH 251 54 0 1 43 33 0.00033 1620.21 61 SAFH 252 55 0 1 0.053 34 0.00032 1620.08 62 SAFH 253 56 0 1 2 34 0.0008 1620.07 63 SAFH 254 57 0 1 15 32 0.00039 1610.97 64 SAFH 255 58 0 1 2.3 33 0.0003 1610.94 65 SAFH 256 59 0 1 3.1 34 0.00026 1610.91 66 SAFH 257 60 0 1 19 34 0.00025 1619.97 67 SAFH 258 61 0 1 1.2 33 0.00024 1619.9 68 SAFH 259 62 0 1 19 33 0.00027 1610.81 69 SAFH 260 63 0 1 0.19 33 0.00023 1610.8 70 SAFH 261 64 0 1 20 32 0.00026 1619.83 71 SAFH 262 65 0 1 1.1 32 0.00023 1619.78 72 SAFH 263 66 0 1 19 33 0.00033 1610.7 73 SAFH 264 67 0 1 19 32 0.00023 1619.69 74 SAFH 265 68 0 1 19 33 0.0002 1610.58 75 SAFH 266 69 0 1 0.99 34 0.00017 1610.57 76 SAFH 267 70 0 1 0.086 34 0.00016 1610.51 77 SAFH 268 71 0 1 19 32 0.00013 1619.6 78 SAFH 269 72 0 1 0.23 31 0.00016 1619.59 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 270 73 0 1 0.88 32 0.00015 1619.58 80 SAFH 271 74 0 1 2 32 0.00013 1619.55 81 SAFH 272 75 0 1 0.036 33 0.00013 1619.48 82 SAFH 273 76 0 1 0.035 33 0.00015 1619.41 83 SAFH 274 77 0 1 0.036 32 0.00012 1619.4 84 SAFH 275 78 0 1 0.7 32 0.00011 1619.4 85 SAFH 276 79 0 1 19 33 0.00011 1610.34 86 SAFH 277 80 0 1 0.066 33 0.0001 1610.3 87 SAFH 278 81 0 1 0.032 34 0.0001 1610.28 88 SAFH 279 82 0 1 21 32 0.00014 1619.35 89 SAFH 280 83 0 1 19 33 9.8E-05 1610.26 90 SAFH 281 84 0 1 21 31 9.6E-05 1619.32 91 SAFH 282 85 0 1 0.21 31 9.5E-05 1619.28 92 SAFH 283 86 0 1 1.1 33 9.5E-05 1619.27 93 SAFH 284 87 0 1 0.96 33 0.00011 1619.26 94 SAFH 285 88 0 1 20 32 9.7E-05 1610.16 95 SAFH 286 89 0 1 18 32 9E-05 1619.24 96 SAFH 287 90 0 1 1.7 32 8.6E-05 1619.24 97 SAFH 288 91 0 1 2.4 32 8.3E-05 1619.22 98 SAFH 289 92 0 1 19 30 8.2E-05 1610.11 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 290 93 0 1 19 32 7.5E-05 1619.18 100 SAFH 291 94 0 1 1.7 32 6.4E-05 1619.17 101 SAFH 292 95 0 1 19 30 6.2E-05 1610.09 102 SAFH 293 96 0 1 0.026 30 5.8E-05 1610.09 103 SAFH 294 97 0 1 19 31 6E-05 1619.17 104 SAFH 295 98 0 1 0.56 30 4E-05 1619.15 105 SAFH 296 99 0 1 0.19 30 3.6E-05 1619.15 106 SAFH 297 100 0 1 19 31 4.8E-05 1610.08 107 SAFH 298 101 0 1 19 30 3.6E-05 1619.15 108 SAFH 299 102 0 1 20 30 4.4E-05 1610.08 109 SAFH 300 103 0 1 19 30 3.4E-05 1619.14 110 SAFH 301 104 0 1 19 30 3.3E-05 1610.06 111 SAFH 302 105 0 1 20 31 3.2E-05 1619.14 112 SAFH 303 106 0 1 0.56 32 3.6E-05 1619.13 113 SAFH 304 107 0 1 0.019 31 2.9E-05 1619.13 114 SAFH 305 108 0 1 20 32 3.2E-05 1610.06 115 SAFH 306 109 0 1 20 32 2.7E-05 1619.13 116 SAFH 307 110 0 1 0.22 32 3.3E-05 1619.12 117 SAFH 308 111 0 1 0.35 29 2.6E-05 1619.11 118 SAFH 309 112 0 1 0.016 29 3E-05 1619.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 310 113 0 1 20 31 2.9E-05 1610.04 120 SAFH 311 114 0 1 0.03 31 2.6E-05 1610.03 121 SAFH 312 115 0 1 0.015 31 2.4E-05 1610.02 122 SAFH 313 116 0 1 0.5 32 2.4E-05 1610.02 123 SAFH 314 117 0 1 20 28 2.3E-05 1619.09 124 SAFH 315 118 0 1 1.3 26 2.3E-05 1619.09 125 SAFH 316 119 0 1 20 32 2.3E-05 1610.01 126 SAFH 317 120 0 1 20 28 2.2E-05 1619.08 127 SAFH 318 121 0 1 20 31 2.1E-05 1610 128 SAFH 319 122 0 1 0.015 30 2E-05 1610 129 SAFH 320 123 0 1 0.013 30 1.9E-05 1609.99 130 SAFH 321 124 0 1 0.84 31 1.9E-05 1609.99 131 SAFH 322 125 0 1 0.31 29 1.6E-05 1609.98 132 SAFH 323 126 0 1 0.013 28 1.4E-05 1609.98 133 SAFH 324 127 0 1 0.011 28 2E-05 1609.98 134 SAFH 325 128 0 1 0.1 27 9E-06 1609.98 135 SAFH 326 129 0 1 19 23 9E-06 1619.06 136 SAFH 327 130 0 1 19 26 8.9E-06 1609.98 137 SAFH 328 131 0 1 20 23 8.9E-06 1619.06 138 SAFH 329 132 0 1 19 25 8.3E-06 1609.98 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 330 133 0 1 0.23 26 8.1E-06 1609.98 140 SAFH 331 134 0 1 19 25 8.2E-06 1619.06 141 SAFH 332 135 0 1 19 25 8.1E-06 1609.97 142 SAFH 333 136 0 1 0.00042 24 7.5E-06 1609.97 143 SAFH 334 137 0 1 0.0084 25 7.1E-06 1609.97 144 SAFH 335 138 0 1 0.015 26 6.6E-06 1609.97 145 SAFH 336 139 0 1 0.0077 26 6.5E-06 1609.97 146 SAFH 337 140 0 1 0.0081 25 6.1E-06 1609.97 147 SAFH 338 141 0 1 0.2 26 5.8E-06 1609.97 148 SAFH 339 142 0 1 0.24 24 5.8E-06 1609.97 149 SAFH 340 143 0 1 0.016 23 5.6E-06 1609.97 150 SAFH 341 144 0 1 0.0082 24 5.5E-06 1609.96 151 SAFH 342 145 0 1 20 22 8E-06 1619.05 152 SAFH 343 146 0 1 19 22 5.2E-06 1609.96 153 SAFH 344 147 0 1 19 25 1.6E-05 1619.05 154 SAFH 345 148 0 1 19 23 5.1E-06 1609.96 155 SAFH 346 149 0 1 0.0066 23 8.8E-06 1609.96 156 SAFH 347 150 0 1 0.01 22 4.9E-06 1609.96 157 SAFH 348 151 0 1 19 22 6E-06 1619.04 158 SAFH 349 152 0 1 0.27 22 6.7E-06 1619.04 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 350 153 0 1 19 21 4.9E-06 1609.96 160 SAFH 351 154 0 1 0.0073 22 4.8E-06 1609.96 161 SAFH 352 155 0 1 19 22 5E-06 1619.04 162 SAFH 353 156 0 1 20 22 4.7E-06 1609.96 163 SAFH 354 157 0 1 0.43 22 3.9E-06 1609.96 164 SAFH 355 158 0 1 0.0067 22 4.2E-06 1609.96 165 SAFH 356 159 0 1 0.48 20 3.8E-06 1609.96 166 SAFH 357 160 0 1 0.36 20 7.2E-06 1609.95 167 SAFH 358 161 0 1 19 19 4.9E-06 1619.04 168 SAFH 359 162 0 1 0.36 18 3.5E-06 1619.04 169 SAFH 360 163 0 1 0.00018 17 2.8E-06 1619.04 170 SAFH 361 164 0 1 19 19 2.5E-06 1609.95 171 SAFH 362 165 0 1 19 15 2.3E-06 1619.04 172 SAFH 363 166 0 1 19 16 2.2E-06 1609.95 173 SAFH 364 167 0 1 0.0049 16 2.3E-06 1609.95 174 SAFH 365 168 0 1 19 12 2.2E-06 1619.03 175 SAFH 366 169 0 1 19 15 2.2E-06 1609.95 176 SAFH 367 170 0 1 0.074 15 2E-06 1609.95 177 SAFH 368 171 0 1 0.0097 14 2E-06 1609.95 178 SAFH 369 172 0 1 0.087 14 2E-06 1609.95 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 370 173 0 1 0.19 10 1.9E-06 1609.95 180 SAFH 371 174 0 1 0.0042 10 1.7E-06 1609.95 181 SAFH 372 175 0 1 19 12 2.2E-06 1619.03 182 SAFH 373 176 0 1 19 10 1.7E-06 1609.95 183 SAFH 374 177 0 1 0.0083 9 1.6E-06 1609.95 184 SAFH 375 178 0 1 0.004 7 1.4E-06 1609.95 185 SAFH 376 179 0 1 0.0078 6 1.3E-06 1609.95 186 SAFH 377 180 0 1 0.22 5 1.3E-06 1609.95 187 SAFH 378 181 0 1 0.0033 4 1.2E-06 1609.95 188 SAFH 379 182 0 1 0.18 3 1.2E-06 1609.95 189 SAFH 380 183 0 1 0.0033 2 1.2E-06 1609.95 190 SAFH 381 184 0 1 0.11 2 2.1E-06 1609.95 191 SAFH 382 185 0 1 0.16 1 1.1E-06 1609.95 192 SAFJ 383 186 0 1 0.0028 0 9.8E-07 1609.95 193 SAFG 383 186 0 0.5 2.9E+02 0 0 2530.16 193 FOUND SOLUTION: 2530.16 (NLP) in 23 sec. 194 SAFH 383 186 0 0.5 2.5 21 8.2E-05 2530.18 195 SAFH 384 187 0 0.5 0.83 20 2.4E-05 2530.17 196 SAFH 385 188 0 0.5 0.34 20 2.4E-05 2530.17 197 SAFH 386 189 0 0.5 0.48 20 4E-05 2530.17 198 SAFH 387 190 0 0.5 0.092 19 2.2E-05 2530.17 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 388 191 0 0.5 0.93 18 8.8E-06 2530.17 200 SAFH 389 192 0 0.5 0.17 16 7.6E-06 2530.17 201 SAFH 390 193 0 0.3 63 17 2.4E-05 2513.17 202 SAFJ 391 194 0 0.3 2.7E+02 0 9.8E-07 1609.95 203 SAFJ 391 194 0 0.2 0 0 9.8E-07 1609.95 204 SAFJ 391 194 0 0.1 0 0 9.8E-07 1609.95 205 AFG 391 194 0 0 3.9E+02 0 8E-15 2563.5 205 FOUND SOLUTION: 2563.5 (NLP) in 48 sec. 206 AFH 391 194 0 0 13 29 0.018 2568.57 207 AFH 392 195 0 0 0.66 30 0.007 2566.57 208 AFG 394 196 0 0 41 0 4.4E-16 2564.5 208 FOUND SOLUTION: 2564.5 (NLP) in 61 sec. 209 AFH 394 196 0 0 11 30 0.0011 2565.16 210 AFH 395 197 0 0 22 28 0.00054 2565.15 211 AFH 396 198 0 0 2.7 28 0.00053 2565.11 212 AFH 397 199 0 0 1.3 28 0.00048 2565.05 213 AFH 398 200 0 0 21 27 0.00048 2565.04 214 AFH 399 201 0 0 0.12 27 0.00031 2565 215 AFH 400 202 0 0 21 28 0.00032 2565 216 AFH 401 203 0 0 25 28 0.00027 2564.94 217 AFH 402 204 0 0 21 29 0.00026 2564.93 218 AFH 403 205 0 0 0.088 29 0.00024 2564.82 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 404 206 0 0 20 29 0.00018 2564.82 220 AFH 405 207 0 0 22 29 0.00013 2564.8 221 AFH 406 208 0 0 21 28 0.00013 2564.78 222 AFH 407 209 0 0 0.81 29 0.00013 2564.78 223 AFH 408 210 0 0 1.1 30 0.00012 2564.77 224 AFH 409 211 0 0 0.064 30 0.00012 2564.71 225 AFH 410 212 0 0 0.062 29 0.0001 2564.69 226 AFH 411 213 0 0 0.054 29 8E-05 2564.68 227 AFH 412 214 0 0 2.3 29 7.8E-05 2564.67 228 AFH 413 215 0 0 20 28 6.4E-05 2564.67 229 AFH 414 216 0 0 20 28 6.4E-05 2564.66 230 AFH 415 217 0 0 20 28 6.1E-05 2564.64 231 AFH 416 218 0 0 0.003 27 5.8E-05 2564.64 232 AFH 417 219 0 0 20 27 8.7E-05 2564.64 233 AFH 418 220 0 0 3.4 28 0.00017 2564.62 234 AFH 419 221 0 0 0.98 27 5.8E-05 2564.62 235 AFH 420 222 0 0 1.6 26 4.3E-05 2564.61 236 AFH 421 223 0 0 20 26 4.2E-05 2564.61 237 AFH 422 224 0 0 0.02 27 3.3E-05 2564.61 238 AFH 423 225 0 0 1.3 25 4.4E-05 2564.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 424 226 0 0 21 26 3.2E-05 2564.6 240 AFH 425 227 0 0 0.0016 25 3E-05 2564.6 241 AFH 426 228 0 0 0.028 26 2.7E-05 2564.59 242 AFH 427 229 0 0 20 27 2.5E-05 2564.59 243 AFH 428 230 0 0 20 27 2.5E-05 2564.58 244 AFH 429 231 0 0 0.5 28 2.4E-05 2564.57 245 AFH 430 232 0 0 0.018 27 2.2E-05 2564.56 246 AFH 431 233 0 0 20 28 2E-05 2564.56 247 AFH 432 234 0 0 0.49 29 2.5E-05 2564.56 248 AFH 433 235 0 0 20 29 2E-05 2564.56 249 AFH 434 236 0 0 20 28 1.6E-05 2564.55 250 AFH 435 237 0 0 20 27 1.6E-05 2564.55 251 AFH 436 238 0 0 20 28 1.6E-05 2564.55 252 AFH 437 239 0 0 0.02 27 1.5E-05 2564.54 253 AFH 438 240 0 0 21 27 1.9E-05 2564.54 254 AFH 439 241 0 0 0.34 26 1.4E-05 2564.54 255 AFH 440 242 0 0 21 28 1.4E-05 2564.54 256 AFH 441 243 0 0 0.00068 27 1.1E-05 2564.54 257 AFH 442 244 0 0 20 27 1E-05 2564.53 258 AFH 443 245 0 0 0.0074 27 9.5E-06 2564.53 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 444 246 0 0 0.01 28 9.5E-06 2564.53 260 AFH 445 247 0 0 0.00011 27 8.1E-06 2564.53 261 AFH 446 248 0 0 0.0085 26 7.6E-06 2564.53 262 AFH 447 249 0 0 0.016 27 6.8E-06 2564.53 263 AFH 448 250 0 0 0.0078 27 1.2E-05 2564.53 264 AFH 449 251 0 0 0.012 26 6.3E-06 2564.52 265 AFH 450 252 0 0 0.0075 27 6.2E-06 2564.52 266 AFH 451 253 0 0 20 25 6.6E-06 2564.52 267 AFH 452 254 0 0 0.43 25 9.8E-06 2564.52 268 AFH 453 255 0 0 0.00044 24 6E-06 2564.52 269 AFH 454 256 0 0 20 23 6E-06 2564.52 270 AFH 455 257 0 0 0.66 23 5.2E-06 2564.52 271 AFH 456 258 0 0 0.0075 22 5E-06 2564.52 272 AFH 457 259 0 0 20 23 6.5E-06 2564.52 273 AFH 458 260 0 0 0.49 23 5E-06 2564.52 274 AFH 459 261 0 0 0.13 21 8E-06 2564.51 275 AFH 460 262 0 0 0.2 22 4.5E-06 2564.51 276 AFH 461 263 0 0 0.00027 21 4.1E-06 2564.51 277 AFH 462 264 0 0 0.0061 21 4E-06 2564.51 278 AFH 463 265 0 0 0.0059 22 4E-06 2564.51 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 464 266 0 0 20 20 3.6E-06 2564.51 280 AFH 465 267 0 0 0.0058 20 3.6E-06 2564.51 281 AFH 466 268 0 0 0.0059 19 3.4E-06 2564.51 282 AFH 467 269 0 0 20 16 3.1E-06 2564.51 283 AFH 468 270 0 0 20 15 2.5E-06 2564.51 284 AFH 469 271 0 0 0.22 13 2.9E-06 2564.51 285 AFH 470 272 0 0 0.23 13 2.4E-06 2564.51 286 AFH 471 273 0 0 20 13 3.3E-06 2564.51 287 AFH 472 274 0 0 0.0053 12 2.3E-06 2564.51 288 AFH 473 275 0 0 20 11 2E-06 2564.51 289 AFH 474 276 0 0 0.0042 10 2E-06 2564.51 290 AFH 475 277 0 0 20 9 1.9E-06 2564.51 291 AFH 476 278 0 0 20 8 1.6E-06 2564.51 292 AFH 477 279 0 0 20 8 2.5E-06 2564.51 293 AFH 478 280 0 0 20 7 1.6E-06 2564.51 294 AFH 479 281 0 0 20 6 1.5E-06 2564.51 295 AFH 480 282 0 0 0.0042 5 1.5E-06 2564.5 296 AFH 481 283 0 0 0.22 4 1.4E-06 2564.5 297 AFH 482 284 0 0 0.23 4 1.3E-06 2564.5 298 AFH 483 285 0 0 20 3 1.2E-06 2564.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 484 286 0 0 20 2 1E-06 2564.5 300 AFH 485 287 0 0 20 2 1.3E-06 2564.5 301 AFH 486 288 0 0 20 1 1E-06 2564.5 302 AFJ 487 289 0 0 20 0 1E-06 2564.5 302 FOUND SOLUTION: 2564.5 in 544 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.47_RSyn0840M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2564.4994834503713719 Max constraint (5) : 4.4408920985006261617e-16 Alternative solution : MIP Alt. objective value : 2564.5025451145520492 Max constraint (84) : 9.9760448768471121639e-07 Time used (seconds) : 543.72 Time limit (seconds) : 7200 Iterations used : 302 Iteration limit : -1 Function evaluations : 43008 Gradient evaluations : 487 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 2.6 % MIP time usage : 97.4 % Optimal/total MIPs : 98/302 NLP solver calls : 303 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M04M.gms(8131) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M04M.gms Stop 09/14/12 14:46:57 elapsed 0:09:03.851 @04 1347626817 ----------------------------- Fr 14. Sep 14:46:57 CEST 2012 ----------------------------- =ready= Linux opt205 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/RSyn/gms/RSyn0840M.gms =========== ----------------------------- Fr 14. Sep 14:37:55 CEST 2012 ----------------------------- @03 1347626275 --- Job RSyn0840M.gms Start 09/14/12 14:37:55 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- RSyn0840M.gms(1105) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- RSyn0840M.gms(1103) 3 Mb --- Generating MINLP model m --- RSyn0840M.gms(1105) 5 Mb --- 485 rows 281 columns 1,291 non-zeroes --- 190 nl-code 28 nl-non-zeroes --- 104 discrete-columns --- RSyn0840M.gms(1105) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.013 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.48_RSyn0840M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1291 elements of which 2% are non-linear(NL) included in 485 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 28 from a total of 281 variables: Continuous(177), Binary(104), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=67 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 9E+02 0 5.1E-15 56.9466 1 FOUND SOLUTION: 56.9466 (NLP) in 1 sec. 2 SAFH 0 0 0 1 85 17 3.7 1713.03 3 SAFH 5 1 0 1 27 19 4.5 1500.02 4 SAFH 6 2 0 1 15 18 1.3 1480.73 5 SAFH 17 3 0 1 29 21 3 1181.66 6 SAFH 20 4 0 1 46 18 1.3 478.327 7 SAFH 23 5 0 1 88 15 0.98 372.848 8 SAFH 26 6 0 1 36 8 0.39 306.254 9 SAFH 32 7 0 1 96 13 0.48 154.685 10 SAFH 33 8 0 1 0.87 12 0.16 99.7773 11 SAFH 35 9 0 1 29 8 0.06 91.6691 12 SAFH 39 10 0 1 4.6 8 0.039 57.7204 13 SAFH 42 11 0 1 39 8 0.045 54.8568 14 SAFH 43 12 0 1 23 8 0.012 52.5677 15 SAFH 47 13 0 1 2.8 8 0.0061 49.1387 16 SAFH 49 14 0 1 8.4 8 0.0021 47.9599 17 SAFH 52 15 0 1 3 8 0.00085 47.5631 18 SAFH 53 16 0 1 7.2 8 0.00081 47.4724 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 54 17 0 1 0.015 8 0.00054 47.195 20 SAFH 55 18 0 1 0.073 8 0.00039 47.1106 21 SAFH 56 19 0 1 0.76 8 0.00064 47.0865 22 SAFH 57 20 0 1 1.4 8 0.00029 47.076 23 SAFH 58 21 0 1 4.2 7 0.00029 47.0428 24 SAFH 59 22 0 1 3.7 7 0.00021 47.0156 25 SAFH 60 23 0 1 0.04 7 0.00013 47.0045 26 SAFH 61 24 0 1 2.3 8 0.00011 46.9872 27 SAFH 62 25 0 1 0.69 7 7.3E-05 46.9855 28 SAFH 63 26 0 1 0.028 6 5.3E-05 46.9747 29 SAFH 64 27 0 1 0.02 6 4.6E-05 46.9691 30 SAFH 65 28 0 1 2.1 7 0.00011 46.9621 31 SAFH 66 29 0 1 0.72 8 5.8E-05 46.9607 32 SAFH 67 30 0 1 1.3 5 2.1E-05 46.958 33 SAFH 68 31 0 1 0.0012 4 1.8E-05 46.9575 34 SAFH 69 32 0 1 0.014 5 1.5E-05 46.9566 35 SAFH 70 33 0 1 4.2E-05 4 1.4E-05 46.9532 36 SAFH 71 34 0 1 0.66 5 1.2E-05 46.9525 37 SAFH 72 35 0 1 0.35 4 1.2E-05 46.9519 38 SAFH 73 36 0 1 0.012 5 5.3E-06 46.9494 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 74 37 0 1 0.026 4 4.5E-06 46.9493 40 SAFH 75 38 0 1 0.0069 5 4.5E-06 46.9488 41 SAFH 76 39 0 1 0.0059 4 4.1E-06 46.948 42 SAFH 77 40 0 1 0.006 3 3.1E-06 46.9478 43 SAFH 78 41 0 1 0.18 4 1.8E-06 46.9476 44 SAFH 79 42 0 1 0.23 2 1.1E-06 46.9475 45 SAFH 80 43 0 1 0.003 2 1.8E-06 46.9472 46 SAFH 81 44 0 1 0.0047 1 1E-06 46.9471 47 SAFJ 82 45 0 1 0.003 0 4.5E-07 46.9469 48 SAFG 82 45 0 0.5 45 0 2.3E-14 325.555 48 FOUND SOLUTION: 325.555 (NLP) in 2 sec. 49 SAFH 82 45 0 0.5 3.2 5 0.002 325.711 50 SAFH 83 46 0 0.5 2.9 5 0.00058 325.705 51 SAFH 84 47 0 0.5 5.2 5 0.0011 325.621 52 SAFH 85 48 0 0.5 2.4E+02 5 0.00037 67.2063 53 SAFH 86 49 0 0.5 2.4E+02 4 0.00051 325.582 54 SAFH 87 50 0 0.5 1.2 6 9.4E-05 325.576 55 SAFH 88 51 0 0.5 1.6 4 8.5E-05 325.567 56 SAFH 89 52 0 0.5 0.95 5 2.1E-05 325.564 57 SAFH 90 53 0 0.5 0.48 5 6.5E-05 325.562 58 SAFH 91 54 0 0.5 2.4E+02 4 1.8E-05 67.1563 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 92 55 0 0.5 2.4E+02 2 1.2E-05 325.557 60 SAFH 93 56 0 0.5 0.00014 1 5.3E-06 325.555 61 SAFH 94 57 0 0.5 0.24 2 7.5E-06 325.555 62 SAFH 95 58 0 0.5 0.00041 1 1.3E-06 325.555 63 SAFJ 96 59 0 0.5 0.12 0 7.8E-07 325.555 63 FOUND SOLUTION: 325.555 in 3 sec. 64 SAFJ 96 59 0 0.3 0 0 7.8E-07 325.555 65 SAFJ 96 59 0 0.2 0 0 7.8E-07 325.555 66 SAFJ 96 59 0 0.1 0 0 7.8E-07 325.555 67 AFH 96 59 0 0 19 6 0.25 328.819 68 AFJ 97 60 0 0 19 0 7.8E-07 325.555 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.48_RSyn0840M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 325.55450700951149656 Max constraint (1) : 2.3092638912203256041e-14 Alternative solution : MIP Alt. objective value : 325.55465308840587113 Max constraint (1) : 7.7718678204163893497e-07 Time used (seconds) : 2.56 Time limit (seconds) : 7200 Iterations used : 68 Iteration limit : -1 Function evaluations : 5236 Gradient evaluations : 97 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 22.9 % MIP time usage : 76.8 % Optimal/total MIPs : 2/68 NLP solver calls : 69 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- RSyn0840M.gms(1105) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job RSyn0840M.gms Stop 09/14/12 14:37:58 elapsed 0:00:02.594 @04 1347626278 ----------------------------- Fr 14. Sep 14:37:58 CEST 2012 ----------------------------- =ready= Linux opt211 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay05H.gms =========== ----------------------------- Fr 14. Sep 14:37:57 CEST 2012 ----------------------------- @03 1347626277 --- Job SLay05H.gms Start 09/14/12 14:37:57 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay05H.gms(700) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- SLay05H.gms(698) 3 Mb --- Generating MIQCP model m --- SLay05H.gms(700) 5 Mb --- 291 rows 231 columns 831 non-zeroes --- 43 nl-code 10 nl-non-zeroes --- 40 discrete-columns --- SLay05H.gms(700) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.49_SLay05H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 831 elements of which 1% are non-linear(NL) included in 291 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 10 from a total of 231 variables: Continuous(191), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=49 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 1.9E+05 NA 1 SAFG 1 1 0 1 7E+02 0 0 48243 1 FOUND SOLUTION: 48243 (NLP) in 1 sec. 2 SAFH 1 1 0 1 6.2E+02 1 9.1E+05 -558483 3 SAFH 2 2 0 1 7.3E+02 1 3.6E+05 -241822 4 SAFH 3 3 0 1 5.4E+02 1 3.1E+05 -127802 5 SAFH 4 4 0 1 3.4E+02 1 1.3E+05 -49099 6 SAFH 5 5 0 1 2.7E+02 1 1.2E+05 -35504 7 SAFH 6 6 0 1 3.1E+02 1 9.2E+04 918.76 8 SAFH 7 7 0 1 2E+02 1 4.6E+04 7511.42 9 SAFH 8 8 0 1 2.3E+02 1 3.9E+04 30299.7 10 SAFH 9 9 0 1 1.1E+02 1 1.4E+04 38018.2 11 SAFH 10 10 0 1 99 1 1.5E+04 38950.3 12 SAFH 11 11 0 1 1.4E+02 1 1.2E+04 42380.2 13 SAFH 12 12 0 1 1.5E+02 1 1.4E+04 43177.9 14 SAFH 13 13 0 1 63 1 5.5E+03 43199.3 15 SAFH 14 14 0 1 66 1 4.9E+03 46772.4 16 SAFH 15 15 0 1 50 1 1.9E+03 47214 17 SAFH 16 16 0 1 71 1 4E+03 47406.4 18 SAFH 17 17 0 1 46 1 1.7E+03 47513.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 40 1 1.4E+03 47594.6 20 SAFH 19 19 0 1 30 1 6.6E+02 47633.4 21 SAFH 20 20 0 1 69 1 2.7E+03 47854.5 22 SAFH 21 21 0 1 38 1 1.5E+03 47911 23 SAFH 22 22 0 1 37 1 8E+02 47958.8 24 SAFH 23 23 0 1 22 1 5.8E+02 48004.1 25 SAFH 24 24 0 1 31 1 5.8E+02 48054.2 26 SAFH 25 25 0 1 23 1 2.6E+02 48075 27 SAFH 26 26 0 1 29 1 4.1E+02 48152.2 28 SAFH 27 27 0 1 16 1 1.6E+02 48155.2 29 SAFH 28 28 0 1 19 1 2.2E+02 48166.6 30 SAFH 29 29 0 1 11 1 83 48173.6 31 SAFH 30 30 0 1 16 1 1.7E+02 48183.5 32 SAFH 31 31 0 1 12 1 1.2E+02 48186.7 33 SAFH 32 32 0 1 6.2 1 55 48205.9 34 SAFH 33 33 0 1 14 1 1.4E+02 48209.8 35 SAFH 34 34 0 1 7.5 1 50 48215.3 36 SAFH 35 35 0 1 8.8 1 69 48221.7 37 SAFH 36 36 0 1 5.5 1 26 48224.4 38 SAFH 37 37 0 1 6.5 1 35 48226.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 4.6 1 20 48227.4 40 SAFH 39 39 0 1 4.2 1 18 48233.7 41 SAFH 40 40 0 1 4.2 1 11 48236 42 SAFH 41 41 0 1 3.1 1 8.2 48236.9 43 SAFH 42 42 0 1 3.8 1 8.8 48238 44 SAFH 43 43 0 1 2.8 1 5.6 48239.2 45 SAFH 44 44 0 1 2.1 1 3.5 48240.1 46 SAFH 45 45 0 1 1.7 1 2.9 48241.5 47 SAFH 46 46 0 1 1.9 1 3.7 48241.8 48 SAFH 47 47 0 1 1.6 1 1.5 48241.8 49 SAFH 48 48 0 1 1.4 1 2.2 48242.3 50 SAFH 49 49 0 1 0.95 1 1.3 48242.4 51 SAFH 50 50 0 1 1.1 1 0.84 48242.5 52 SAFH 51 51 0 1 1.1 1 1.3 48242.6 53 SAFH 52 52 0 1 0.94 1 0.51 48242.6 54 SAFH 53 53 0 1 1.3 1 0.99 48242.7 55 SAFH 54 54 0 1 1 1 0.52 48242.8 56 SAFH 55 55 0 1 0.82 1 0.33 48242.8 57 SAFH 56 56 0 1 0.71 1 0.25 48242.9 58 SAFH 57 57 0 1 0.42 1 0.2 48242.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 0.44 1 0.16 48242.9 60 SAFH 59 59 0 1 0.37 1 0.098 48242.9 61 SAFH 60 60 0 1 0.45 1 0.1 48243 62 SAFH 61 61 0 1 0.29 1 0.064 48243 63 SAFH 62 62 0 1 0.18 1 0.049 48243 64 SAFH 63 63 0 1 0.19 1 0.038 48243 65 SAFH 64 64 0 1 0.22 1 0.03 48243 66 SAFH 65 65 0 1 0.23 1 0.06 48243 67 SAFH 66 66 0 1 0.15 1 0.02 48243 68 SAFH 67 67 0 1 0.14 1 0.018 48243 69 SAFH 68 68 0 1 0.16 1 0.012 48243 70 SAFH 69 69 0 1 0.091 1 0.0089 48243 71 SAFH 70 70 0 1 0.11 1 0.007 48243 72 SAFH 71 71 0 1 0.057 1 0.0054 48243 73 SAFH 72 72 0 1 0.07 1 0.0036 48243 74 SAFH 73 73 0 1 0.077 1 0.0032 48243 75 SAFH 74 74 0 1 0.053 1 0.0022 48243 76 SAFH 75 75 0 1 0.057 1 0.0016 48243 77 SAFH 76 76 0 1 0.022 1 0.0013 48243 78 SAFH 77 77 0 1 0.034 1 0.00099 48243 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 0.031 1 0.00065 48243 80 SAFH 79 79 0 1 0.031 1 0.00059 48243 81 SAFH 80 80 0 1 0.026 1 0.0004 48243 82 SAFH 81 81 0 1 0.018 1 0.0003 48243 83 SAFH 82 82 0 1 0.017 1 0.00023 48243 84 SAFH 83 83 0 1 0.02 1 0.00022 48243 85 SAFH 84 84 0 1 0.014 1 0.00011 48243 86 SAFH 85 85 0 1 0.014 1 0.00012 48243 87 SAFH 86 86 0 1 0.011 1 8.6E-05 48243 88 SAFH 87 87 0 1 0.0063 1 7.2E-05 48243 89 SAFH 88 88 0 1 0.008 1 4E-05 48243 90 SAFH 89 89 0 1 0.0084 1 5E-05 48243 91 SAFH 90 90 0 1 0.0074 1 4.9E-05 48243 92 SAFH 91 91 0 1 0.0058 1 4.8E-05 48243 93 SAFH 92 92 0 1 0.0049 1 1.9E-05 48243 94 SAFH 93 93 0 1 0.0062 1 2.8E-05 48243 95 SAFH 94 94 0 1 0.0049 1 2.2E-05 48243 96 SAFH 95 95 0 1 0.0024 1 1.1E-05 48243 97 SAFH 96 96 0 1 0.0041 1 1.3E-05 48243 98 SAFH 97 97 0 1 0.0038 1 7.7E-06 48243 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 0.0019 1 5.8E-06 48243 100 SAFH 99 99 0 1 0.0051 1 1.5E-05 48243 101 SAFH 100 100 0 1 0.0029 1 4.6E-06 48243 102 SAFH 101 101 0 1 0.0024 1 3.3E-06 48243 103 SAFH 102 102 0 1 0.002 1 2.5E-06 48243 104 SAFH 103 103 0 1 0.0018 1 2E-06 48243 105 SAFH 104 104 0 1 0.0011 1 1.4E-06 48243 106 SAFH 105 105 0 1 0.00091 1 1E-06 48243 107 SAFJL 106 106 0 1 0.0011 0 8.3E-07 48243 108 SAFG 105 105 0 0.5 9.9E+02 0 0 34215.5 108 FOUND SOLUTION: 34215.5 (NLP) in 3 sec. 109 SAFH 105 105 0 0.5 3.8E+02 1 2.7E+05 -30817.6 110 SAFG 106 106 0 0.5 7.2E+02 0 0 29630.7 110 FOUND SOLUTION: 29630.7 (NLP) in 3 sec. 111 SAFH 106 106 0 0.5 1.7E+02 1 9.5E+04 -27515.6 112 SAFH 107 107 0 0.5 4.5E+02 1 9.6E+04 -14639.9 113 SAFG 108 108 0 0.5 5.2E+02 0 0 26388.8 113 FOUND SOLUTION: 26388.8 (NLP) in 3 sec. 114 SAFH 108 108 0 0.5 1E+02 1 4.6E+04 -11207.6 115 SAFH 109 109 0 0.5 5.5E+02 1 5.8E+04 -1178.77 116 SAFH 110 110 0 0.5 2.5E+02 1 3.3E+04 2288.68 117 SAFH 111 111 0 0.5 7.8E+02 1 4.8E+04 8678.97 118 SAFH 112 112 0 0.5 7.6E+02 1 2.6E+04 7883.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 113 113 0 0.5 8.4E+02 1 4.3E+04 10101.4 120 SAFH 114 114 0 0.5 6.2E+02 1 1.7E+04 25913.7 121 SAFH 115 115 0 0.5 4.6E+02 1 2.2E+04 49875.6 122 SAFH 116 116 0 0.5 5.5E+02 1 2.3E+04 26328.6 123 SAFH 117 117 0 0.5 1.2E+02 1 9.7E+03 29140 124 SAFH 118 118 0 0.5 1.3E+02 1 1.7E+04 34729.1 125 SAFH 119 119 0 0.5 75 1 5.3E+03 35306.1 126 SAFH 120 120 0 0.5 62 1 3.7E+03 35787.3 127 SAFH 121 121 0 0.5 62 1 2.7E+03 35847.7 128 SAFH 122 122 0 0.5 48 1 1.3E+03 36844.4 129 SAFH 123 123 0 0.5 48 1 1.5E+03 37061.2 130 SAFH 124 124 0 0.5 24 1 6.9E+02 37312.4 131 SAFH 125 125 0 0.5 26 1 5.9E+02 37579.7 132 SAFH 126 126 0 0.5 30 1 4.4E+02 37670.3 133 SAFH 127 127 0 0.5 19 1 2.1E+02 37682.7 134 SAFH 128 128 0 0.5 22 1 3.4E+02 37806.9 135 SAFH 129 129 0 0.5 34 1 6.9E+02 37807.8 136 SAFH 130 130 0 0.5 17 1 2E+02 37819.8 137 SAFH 131 131 0 0.5 12 1 1E+02 37828.2 138 SAFH 132 132 0 0.5 13 1 79 37839.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 133 133 0 0.5 9.5 1 59 37845.9 140 SAFH 134 134 0 0.5 6.3 1 29 37854.7 141 SAFH 135 135 0 0.5 7.4 1 31 37868.4 142 SAFH 136 136 0 0.5 5.5 1 15 37869.5 143 SAFH 137 137 0 0.5 3.8 1 12 37873.1 144 SAFH 138 138 0 0.5 3.9 1 7.7 37873.6 145 SAFH 139 139 0 0.5 2.8 1 4.3 37875.9 146 SAFH 140 140 0 0.5 3.7 1 7.5 37877.8 147 SAFH 141 141 0 0.5 1.8 1 2.5 37878.2 148 SAFH 142 142 0 0.5 1.8 1 2.7 37878.5 149 SAFH 143 143 0 0.5 1.1 1 1.1 37878.5 150 SAFH 144 144 0 0.5 1.4 1 1.8 37879 151 SAFH 145 145 0 0.5 0.79 1 0.69 37879.2 152 SAFH 146 146 0 0.5 0.88 1 0.71 37879.2 153 SAFH 147 147 0 0.5 0.47 1 0.3 37879.3 154 SAFH 148 148 0 0.5 0.74 1 0.34 37879.4 155 SAFH 149 149 0 0.5 0.38 1 0.18 37879.5 156 SAFH 150 150 0 0.5 0.35 1 0.11 37879.5 157 SAFH 151 151 0 0.5 0.29 1 0.088 37879.5 158 SAFH 152 152 0 0.5 0.23 1 0.047 37879.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 153 153 0 0.5 0.21 1 0.039 37879.5 160 SAFH 154 154 0 0.5 0.22 1 0.023 37879.5 161 SAFH 155 155 0 0.5 0.14 1 0.015 37879.6 162 SAFH 156 156 0 0.5 0.1 1 0.011 37879.6 163 SAFH 157 157 0 0.5 0.1 1 0.006 37879.6 164 SAFH 158 158 0 0.5 0.075 1 0.005 37879.6 165 SAFH 159 159 0 0.5 0.055 1 0.0029 37879.6 166 SAFH 160 160 0 0.5 0.046 1 0.0019 37879.6 167 SAFH 161 161 0 0.5 0.053 1 0.0023 37879.6 168 SAFH 162 162 0 0.5 0.041 1 0.00087 37879.6 169 SAFH 163 163 0 0.5 0.049 1 0.0012 37879.6 170 SAFH 164 164 0 0.5 0.031 1 0.00049 37879.6 171 SAFH 165 165 0 0.5 0.034 1 0.00067 37879.6 172 SAFH 166 166 0 0.5 0.021 1 0.00025 37879.6 173 SAFH 167 167 0 0.5 0.014 1 0.00035 37879.6 174 SAFH 168 168 0 0.5 0.014 1 0.00014 37879.6 175 SAFH 169 169 0 0.5 0.01 1 0.00016 37879.6 176 SAFH 170 170 0 0.5 0.0087 1 6.6E-05 37879.6 177 SAFH 171 171 0 0.5 0.02 1 0.00033 37879.6 178 SAFH 172 172 0 0.5 0.0098 1 9.3E-05 37879.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 173 173 0 0.5 0.0061 1 3.7E-05 37879.6 180 SAFH 174 174 0 0.5 0.0084 1 4E-05 37879.6 181 SAFH 175 175 0 0.5 0.0065 1 2.7E-05 37879.6 182 SAFH 176 176 0 0.5 0.0045 1 1.3E-05 37879.6 183 SAFH 177 177 0 0.5 0.0045 1 2.5E-05 37879.6 184 SAFH 178 178 0 0.5 0.0042 1 1.1E-05 37879.6 185 SAFH 179 179 0 0.5 0.0022 1 8.1E-06 37879.6 186 SAFH 180 180 0 0.5 0.0026 1 3.9E-06 37879.6 187 SAFH 181 181 0 0.5 0.0061 1 2.1E-05 37879.6 188 SAFH 182 182 0 0.5 0.0035 1 7.3E-06 37879.6 189 SAFH 183 183 0 0.5 0.0033 1 5.9E-06 37879.6 190 SAFH 184 184 0 0.5 0.0015 1 2.3E-06 37879.6 191 SAFH 185 185 0 0.5 0.0021 1 2.2E-06 37879.6 192 SAFH 186 186 0 0.5 0.0012 1 1E-06 37879.6 193 SAFJ 187 187 0 0.5 0.00099 0 9.2E-07 37879.6 194 SAFJ 187 187 0 0.3 0 0 9.2E-07 37879.6 195 SAFJ 187 187 0 0.2 0 0 9.2E-07 37879.6 196 SAFJ 187 187 0 0.1 0 0 9.2E-07 37879.6 197 AFG 187 187 0 0 5.1E+02 0 0 24562.7 197 FOUND SOLUTION: 24562.7 (NLP) in 15 sec. 198 AFH 187 187 0 0 68 1 2E+04 7968.29 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFG 188 188 0 0 5.5E+02 0 0 23290 199 FOUND SOLUTION: 23290 (NLP) in 15 sec. 200 AFH 188 188 0 0 77 1 1.6E+04 12057.4 201 AFH 189 189 0 0 3.6E+02 1 1.4E+04 14352.6 202 AFH 190 190 0 0 4.9E+02 1 1.8E+04 15464.5 203 AFH 191 191 0 0 5.4E+02 1 1.5E+04 16169.4 204 AFH 192 192 0 0 4.2E+02 1 9.2E+03 16462.3 205 AFH 193 193 0 0 3.3E+02 1 8.1E+03 17231.3 206 AFH 194 194 0 0 3.9E+02 1 1.4E+04 17325.7 207 AFG 195 195 0 0 3E+02 0 0 22846.8 207 FOUND SOLUTION: 22846.8 (NLP) in 17 sec. 208 AFH 195 195 0 0 24 1 5.4E+03 17843.9 209 AFH 196 196 0 0 3.9E+02 1 9.6E+03 19523.6 210 AFH 197 197 0 0 3.7E+02 1 1E+04 19705.7 211 AFG 198 198 0 0 3.3E+02 0 0 22664.7 211 FOUND SOLUTION: 22664.7 (NLP) in 18 sec. 212 AFH 198 198 0 0 63 1 6.1E+03 20036.6 213 AFH 199 199 0 0 76 1 3.9E+03 20554.1 214 AFH 200 200 0 0 1.6E+02 1 3E+03 20557.5 215 AFH 201 201 0 0 4.3E+02 1 1E+04 20880.5 216 AFH 202 202 0 0 6E+02 1 8.1E+03 20946.9 217 AFH 203 203 0 0 4.9E+02 1 4.5E+03 20954.9 218 AFH 204 204 0 0 4.5E+02 1 3.5E+03 21207.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 205 205 0 0 4.4E+02 1 9.3E+03 21339.4 220 AFH 206 206 0 0 4.9E+02 1 2E+03 21399.9 221 AFH 207 207 0 0 4E+02 1 2.1E+03 21542.3 222 AFH 208 208 0 0 2.6E+02 1 2.6E+03 21547.3 223 AFH 209 209 0 0 40 1 1.1E+03 21650.2 224 AFH 210 210 0 0 4.7E+02 1 9E+03 21839.7 225 AFH 211 211 0 0 3.6E+02 1 3E+03 21843 226 AFH 212 212 0 0 3.1E+02 1 1.8E+03 21981.5 227 AFH 213 213 0 0 3.1E+02 1 2.5E+03 21984.6 228 AFH 214 214 0 0 1.5E+02 1 1.5E+03 22085.7 229 AFH 215 215 0 0 1.6E+02 1 1.6E+03 22112 230 AFH 216 216 0 0 3.2E+02 1 1.2E+03 22118.8 231 AFH 217 217 0 0 2.9E+02 1 6E+03 22220.7 232 AFH 218 218 0 0 2.2E+02 1 1.7E+03 22244.4 233 AFH 219 219 0 0 1.2E+02 1 1.1E+03 22255.9 234 AFH 220 220 0 0 2.6E+02 1 6.4E+02 22278.2 235 AFH 221 221 0 0 3.1E+02 1 7.7E+02 22290.2 236 AFH 222 222 0 0 4.4E+02 1 8.1E+03 22295.4 237 AFH 223 223 0 0 4.5E+02 1 8.1E+02 22302.1 238 AFH 224 224 0 0 1E+02 1 6.9E+02 22364.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 225 225 0 0 1.4E+02 1 4.9E+02 22398.9 240 AFH 226 226 0 0 28 1 4.2E+02 22428 241 AFH 227 227 0 0 24 1 3.8E+02 22433.8 242 AFH 228 228 0 0 2.4E+02 1 3.7E+03 22464.6 243 AFH 229 229 0 0 1.5E+02 1 5.6E+02 22485 244 AFH 230 230 0 0 32 1 4.1E+02 22490.2 245 AFH 231 231 0 0 25 1 2.5E+02 22502.5 246 AFH 232 232 0 0 21 1 2.4E+02 22513.2 247 AFH 233 233 0 0 2.8E+02 1 9.6E+02 22514.7 248 AFH 234 234 0 0 1.3E+02 1 2.5E+02 22523.2 249 AFH 235 235 0 0 17 1 1.4E+02 22557.1 250 AFH 236 236 0 0 84 1 2.6E+02 22565.8 251 AFH 237 237 0 0 1.2E+02 1 4.9E+02 22566.1 252 AFH 238 238 0 0 2.2E+02 1 1.3E+02 22576.9 253 AFH 239 239 0 0 2E+02 1 1.6E+03 22585.7 254 AFH 240 240 0 0 4E+02 1 5.2E+03 22598.9 255 AFH 241 241 0 0 4.2E+02 1 1.9E+02 22600.9 256 AFH 242 242 0 0 86 1 1.3E+02 22614.6 257 AFH 243 243 0 0 1.2E+02 1 1.2E+02 22617.1 258 AFH 244 244 0 0 18 1 1.3E+02 22617.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 245 245 0 0 12 1 74 22617.8 260 AFH 246 246 0 0 15 1 1.1E+02 22623.8 261 AFH 247 247 0 0 15 1 1.1E+02 22626 262 AFH 248 248 0 0 12 1 58 22627.6 263 AFH 249 249 0 0 10 1 70 22631 264 AFH 250 250 0 0 10 1 48 22632 265 AFH 251 251 0 0 2E+02 1 3.2E+03 22633.7 266 AFH 252 252 0 0 2.7E+02 1 58 22634.5 267 AFH 253 253 0 0 8.3 1 41 22635 268 AFH 254 254 0 0 2.3E+02 1 4.2E+02 22636.7 269 AFH 255 255 0 0 3.5E+02 1 29 22644.9 270 AFH 256 256 0 0 2.4E+02 1 46 22645.6 271 AFH 257 257 0 0 8.1 1 29 22647.7 272 AFH 258 258 0 0 7.8 1 24 22650.3 273 AFH 259 259 0 0 6.6 1 21 22650.7 274 AFH 260 260 0 0 6.2 1 22 22653.4 275 AFH 261 261 0 0 2.4E+02 1 20 22654 276 AFH 262 262 0 0 5.9 1 13 22654 277 AFH 263 263 0 0 6.1 1 15 22657.1 278 AFH 264 264 0 0 5.7 1 10 22658.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 265 265 0 0 5.6 1 12 22659.6 280 AFH 266 266 0 0 6 1 13 22659.8 281 AFH 267 267 0 0 3.8 1 7.3 22660 282 AFH 268 268 0 0 4.7 1 6.9 22660.5 283 AFH 269 269 0 0 2.7 1 7.2 22661.3 284 AFH 270 270 0 0 3.7 1 8.1 22661.6 285 AFH 271 271 0 0 3.2 1 5.1 22661.6 286 AFH 272 272 0 0 3.2 1 4.3 22661.8 287 AFH 273 273 0 0 3.6 1 5.1 22661.9 288 AFH 274 274 0 0 2.4 1 5.5 22662 289 AFH 275 275 0 0 3 1 5.2 22662.3 290 AFH 276 276 0 0 2 1 2.4 22662.4 291 AFH 277 277 0 0 3.6 1 6 22663.6 292 AFH 278 278 0 0 2.6 1 3.4 22663.7 293 AFH 279 279 0 0 2.3 1 2.4 22663.8 294 AFH 280 280 0 0 2.3 1 2.3 22663.9 295 AFH 281 281 0 0 1.3E+02 1 2.5 22663.9 296 AFH 282 282 0 0 1.7 1 1.3 22664 297 AFH 283 283 0 0 2 1 2.1 22664.1 298 AFH 284 284 0 0 2.1 1 1.6 22664.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 285 285 0 0 1.7 1 1.7 22664.1 300 AFH 286 286 0 0 1.1 1 1.4 22664.1 301 AFH 287 287 0 0 1.5 1 0.98 22664.1 302 AFH 288 288 0 0 1.4 1 0.89 22664.2 303 AFH 289 289 0 0 73 1 1.3 22664.3 304 AFH 290 290 0 0 1.5 1 1.1 22664.3 305 AFH 291 291 0 0 0.93 1 0.57 22664.3 306 AFH 292 292 0 0 1.3 1 1.1 22664.3 307 AFH 293 293 0 0 1.5 1 0.88 22664.3 308 AFH 294 294 0 0 1.1 1 0.76 22664.4 309 AFH 295 295 0 0 1.1 1 0.46 22664.4 310 AFH 296 296 0 0 1.5 1 1.2 22664.4 311 AFH 297 297 0 0 1 1 0.54 22664.4 312 AFH 298 298 0 0 73 1 0.82 22664.5 313 AFH 299 299 0 0 1.1 1 0.56 22664.5 314 AFH 300 300 0 0 0.95 1 0.41 22664.5 315 AFH 301 301 0 0 72 1 0.32 22664.5 316 AFH 302 302 0 0 0.65 1 0.27 22664.5 317 AFH 303 303 0 0 1.2 1 0.64 22664.5 318 AFH 304 304 0 0 0.91 1 0.29 22664.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 305 305 0 0 1.1 1 0.52 22664.5 320 AFH 306 306 0 0 0.78 1 0.22 22664.5 321 AFH 307 307 0 0 1.1 1 0.41 22664.5 322 AFH 308 308 0 0 1.1 1 0.43 22664.6 323 AFH 309 309 0 0 72 1 0.16 22664.6 324 AFH 310 310 0 0 0.61 1 0.21 22664.6 325 AFH 311 311 0 0 0.61 1 0.13 22664.6 326 AFH 312 312 0 0 0.57 1 0.14 22664.6 327 AFH 313 313 0 0 0.52 1 0.13 22664.6 328 AFH 314 314 0 0 0.52 1 0.11 22664.6 329 AFH 315 315 0 0 0.36 1 0.088 22664.6 330 AFH 316 316 0 0 72 1 0.079 22664.6 331 AFH 317 317 0 0 0.34 1 0.072 22664.6 332 AFH 318 318 0 0 0.34 1 0.072 22664.6 333 AFH 319 319 0 0 0.37 1 0.081 22664.6 334 AFH 320 320 0 0 0.28 1 0.042 22664.6 335 AFH 321 321 0 0 0.43 1 0.07 22664.6 336 AFH 322 322 0 0 0.31 1 0.038 22664.7 337 AFH 323 323 0 0 0.41 1 0.05 22664.7 338 AFH 324 324 0 0 0.33 1 0.047 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 325 325 0 0 0.29 1 0.039 22664.7 340 AFH 326 326 0 0 0.21 1 0.033 22664.7 341 AFH 327 327 0 0 0.19 1 0.022 22664.7 342 AFH 328 328 0 0 0.2 1 0.025 22664.7 343 AFH 329 329 0 0 0.23 1 0.024 22664.7 344 AFH 330 330 0 0 0.23 1 0.017 22664.7 345 AFH 331 331 0 0 0.23 1 0.023 22664.7 346 AFH 332 332 0 0 0.22 1 0.015 22664.7 347 AFH 333 333 0 0 0.2 1 0.016 22664.7 348 AFH 334 334 0 0 0.19 1 0.019 22664.7 349 AFH 335 335 0 0 0.14 1 0.01 22664.7 350 AFH 336 336 0 0 0.19 1 0.013 22664.7 351 AFH 337 337 0 0 0.15 1 0.011 22664.7 352 AFH 338 338 0 0 0.15 1 0.0073 22664.7 353 AFH 339 339 0 0 0.15 1 0.0093 22664.7 354 AFH 340 340 0 0 0.12 1 0.0062 22664.7 355 AFH 341 341 0 0 0.12 1 0.0063 22664.7 356 AFH 342 342 0 0 0.11 1 0.0045 22664.7 357 AFH 343 343 0 0 72 1 0.0052 22664.7 358 AFH 344 344 0 0 0.076 1 0.0038 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 345 345 0 0 0.091 1 0.003 22664.7 360 AFH 346 346 0 0 0.1 1 0.0034 22664.7 361 AFH 347 347 0 0 0.072 1 0.0027 22664.7 362 AFH 348 348 0 0 0.097 1 0.0037 22664.7 363 AFH 349 349 0 0 0.064 1 0.002 22664.7 364 AFH 350 350 0 0 0.073 1 0.0027 22664.7 365 AFH 351 351 0 0 0.052 1 0.0015 22664.7 366 AFH 352 352 0 0 0.055 1 0.0019 22664.7 367 AFH 353 353 0 0 0.052 1 0.0014 22664.7 368 AFH 354 354 0 0 0.066 1 0.0015 22664.7 369 AFH 355 355 0 0 0.045 1 0.0012 22664.7 370 AFH 356 356 0 0 0.042 1 0.00086 22664.7 371 AFH 357 357 0 0 0.056 1 0.001 22664.7 372 AFH 358 358 0 0 0.05 1 0.001 22664.7 373 AFH 359 359 0 0 0.038 1 0.00085 22664.7 374 AFH 360 360 0 0 0.039 1 0.00055 22664.7 375 AFH 361 361 0 0 72 1 0.00087 22664.7 376 AFH 362 362 0 0 0.052 1 0.0012 22664.7 377 AFH 363 363 0 0 0.034 1 0.0005 22664.7 378 AFH 364 364 0 0 0.037 1 0.00062 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 365 365 0 0 0.018 1 0.00038 22664.7 380 AFH 366 366 0 0 0.039 1 0.00064 22664.7 381 AFH 367 367 0 0 0.033 1 0.0005 22664.7 382 AFH 368 368 0 0 0.023 1 0.0003 22664.7 383 AFH 369 369 0 0 0.025 1 0.00029 22664.7 384 AFH 370 370 0 0 0.023 1 0.00035 22664.7 385 AFH 371 371 0 0 0.025 1 0.00028 22664.7 386 AFH 372 372 0 0 0.025 1 0.00022 22664.7 387 AFH 373 373 0 0 0.02 1 0.00018 22664.7 388 AFH 374 374 0 0 0.02 1 0.00016 22664.7 389 AFH 375 375 0 0 0.025 1 0.00027 22664.7 390 AFH 376 376 0 0 0.014 1 0.00013 22664.7 391 AFH 377 377 0 0 0.021 1 0.00015 22664.7 392 AFH 378 378 0 0 0.017 1 0.00013 22664.7 393 AFH 379 379 0 0 0.015 1 0.00011 22664.7 394 AFH 380 380 0 0 0.0097 1 7.1E-05 22664.7 395 AFH 381 381 0 0 0.014 1 9.3E-05 22664.7 396 AFH 382 382 0 0 0.012 1 8E-05 22664.7 397 AFH 383 383 0 0 0.014 1 7.9E-05 22664.7 398 AFH 384 384 0 0 0.011 1 5.3E-05 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 385 385 0 0 0.01 1 4.1E-05 22664.7 400 AFH 386 386 0 0 0.011 1 9.1E-05 22664.7 401 AFH 387 387 0 0 0.011 1 5E-05 22664.7 402 AFH 388 388 0 0 0.0098 1 4.7E-05 22664.7 403 AFH 389 389 0 0 0.013 1 5.5E-05 22664.7 404 AFH 390 390 0 0 0.013 1 6.3E-05 22664.7 405 AFH 391 391 0 0 1E+02 1 2.6E-05 22664.7 406 AFH 392 392 0 0 0.007 1 2.7E-05 22664.7 407 AFH 393 393 0 0 72 1 4.3E-05 22664.7 408 AFH 394 394 0 0 0.0068 1 3E-05 22664.7 409 AFH 395 395 0 0 0.0066 1 2.1E-05 22664.7 410 AFH 396 396 0 0 0.0096 1 2.9E-05 22664.7 411 AFH 397 397 0 0 0.0058 1 2E-05 22664.7 412 AFH 398 398 0 0 0.0061 1 1.3E-05 22664.7 413 AFH 399 399 0 0 0.0081 1 3.3E-05 22664.7 414 AFH 400 400 0 0 72 1 2.9E-05 22664.7 415 AFH 401 401 0 0 0.0044 1 1.3E-05 22664.7 416 AFH 402 402 0 0 0.0076 1 2.2E-05 22664.7 417 AFH 403 403 0 0 0.0049 1 1.3E-05 22664.7 418 AFH 404 404 0 0 0.0048 1 1.2E-05 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 405 405 0 0 0.0045 1 1.1E-05 22664.7 420 AFH 406 406 0 0 0.0049 1 8.6E-06 22664.7 421 AFH 407 407 0 0 0.0053 1 1.1E-05 22664.7 422 AFH 408 408 0 0 0.004 1 5.2E-06 22664.7 423 AFH 409 409 0 0 0.0046 1 1.3E-05 22664.7 424 AFH 410 410 0 0 0.0062 1 2.1E-05 22664.7 425 AFH 411 411 0 0 0.0046 1 9.3E-06 22664.7 426 AFH 412 412 0 0 0.0059 1 1.2E-05 22664.7 427 AFH 413 413 0 0 0.0046 1 8E-06 22664.7 428 AFH 414 414 0 0 0.0031 1 5.2E-06 22664.7 429 AFH 415 415 0 0 0.0034 1 6.3E-06 22664.7 430 AFH 416 416 0 0 0.0041 1 6.4E-06 22664.7 431 AFH 417 417 0 0 0.0032 1 3.7E-06 22664.7 432 AFH 418 418 0 0 0.0031 1 4.8E-06 22664.7 433 AFH 419 419 0 0 0.0032 1 3.5E-06 22664.7 434 AFH 420 420 0 0 0.0024 1 3.9E-06 22664.7 435 AFH 421 421 0 0 0.0028 1 2.7E-06 22664.7 436 AFH 422 422 0 0 0.0025 1 2.3E-06 22664.7 437 AFH 423 423 0 0 0.0026 1 2.8E-06 22664.7 438 AFH 424 424 0 0 0.0024 1 2E-06 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 425 425 0 0 0.0021 1 1.9E-06 22664.7 440 AFH 426 426 0 0 0.0018 1 1.5E-06 22664.7 441 AFH 427 427 0 0 0.0016 1 1.6E-06 22664.7 442 AFH 428 428 0 0 0.0018 1 1.2E-06 22664.7 443 AFH 429 429 0 0 0.0017 1 1E-06 22664.7 444 AFH 430 430 0 0 0.0014 1 1.2E-06 22664.7 445 AFH 431 431 0 0 0.0018 1 1.3E-06 22664.7 446 AFJ 432 432 0 0 72 0 7.8E-07 22664.7 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.49_SLay05H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22664.678654678951716 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 22664.678654678951716 Max constraint (1) : -0 Time used (seconds) : 118.81 Time limit (seconds) : 7200 Iterations used : 446 Iteration limit : -1 Function evaluations : 806 Gradient evaluations : 433 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.7 % MIP time usage : 98.3 % Optimal/total MIPs : 250/446 NLP solver calls : 447 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay05H.gms(700) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay05H.gms Stop 09/14/12 14:39:56 elapsed 0:01:58.845 @04 1347626396 ----------------------------- Fr 14. Sep 14:39:56 CEST 2012 ----------------------------- =ready= Linux opt205 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay05M.gms =========== ----------------------------- Fr 14. Sep 14:37:58 CEST 2012 ----------------------------- @03 1347626278 --- Job SLay05M.gms Start 09/14/12 14:37:58 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay05M.gms(261) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- SLay05M.gms(259) 3 Mb --- Generating MIQCP model m --- SLay05M.gms(261) 5 Mb --- 91 rows 71 columns 311 non-zeroes --- 43 nl-code 10 nl-non-zeroes --- 40 discrete-columns --- SLay05M.gms(261) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.50_SLay05M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 311 elements of which 3% are non-linear(NL) included in 91 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 10 from a total of 71 variables: Continuous(31), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 1.9E+05 NA 1 SAFG 1 1 0 1 2.2E+02 0 0 72330.5 1 FOUND SOLUTION: 72330.5 (NLP) in 1 sec. 2 SAFH 1 1 0 1 1.7E+02 1 9.4E+05 -478537 3 SAFH 2 2 0 1 2.1E+02 1 4.3E+05 -284532 4 SAFH 3 3 0 1 2.3E+02 1 2.6E+05 -98660.4 5 SAFH 4 4 0 1 1E+02 1 1.3E+05 -34214.6 6 SAFH 5 5 0 1 1.5E+02 1 1.1E+05 12172.7 7 SAFH 6 6 0 1 1.5E+02 1 7.3E+04 22479.4 8 SAFH 7 7 0 1 72 1 5.3E+04 43178 9 SAFH 8 8 0 1 82 1 5E+04 43754.2 10 SAFH 9 9 0 1 1E+02 1 3.3E+04 45713.7 11 SAFH 10 10 0 1 74 1 2.5E+04 54977.3 12 SAFH 11 11 0 1 74 1 4.3E+04 62492.3 13 SAFH 12 12 0 1 42 1 1.6E+04 63762.8 14 SAFH 13 13 0 1 76 1 1.7E+04 65086.9 15 SAFH 14 14 0 1 47 1 1E+04 65203 16 SAFH 15 15 0 1 33 1 9.2E+03 65210.2 17 SAFH 16 16 0 1 67 1 1.4E+04 67042.3 18 SAFH 17 17 0 1 51 1 9.6E+03 67768.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 50 1 5.9E+03 68508.7 20 SAFH 19 19 0 1 34 1 5.8E+03 69126.3 21 SAFH 20 20 0 1 26 1 3.9E+03 69490 22 SAFH 21 21 0 1 32 1 3.6E+03 70011.3 23 SAFH 22 22 0 1 25 1 2.3E+03 70538.3 24 SAFH 23 23 0 1 16 1 2.2E+03 71220.9 25 SAFH 24 24 0 1 30 1 2.7E+03 71397.3 26 SAFH 25 25 0 1 17 1 1.3E+03 71439.5 27 SAFH 26 26 0 1 20 1 1.3E+03 71468.8 28 SAFH 27 27 0 1 16 1 1.3E+03 71731.2 29 SAFH 28 28 0 1 11 1 7.7E+02 71815.2 30 SAFH 29 29 0 1 12 1 8.4E+02 71869.9 31 SAFH 30 30 0 1 11 1 5.8E+02 71880.3 32 SAFH 31 31 0 1 12 1 6.6E+02 71971.1 33 SAFH 32 32 0 1 5 1 3.8E+02 72093.9 34 SAFH 33 33 0 1 10 1 3.6E+02 72102.9 35 SAFH 34 34 0 1 10 1 3.5E+02 72140.1 36 SAFH 35 35 0 1 9.3 1 2.4E+02 72161.3 37 SAFH 36 36 0 1 5.7 1 1.7E+02 72200.4 38 SAFH 37 37 0 1 7 1 1.9E+02 72213.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 5.3 1 1.5E+02 72256.2 40 SAFH 39 39 0 1 5.8 1 1.1E+02 72266.1 41 SAFH 40 40 0 1 4.8 1 88 72268.3 42 SAFH 41 41 0 1 4.4 1 88 72271.7 43 SAFH 42 42 0 1 5.5 1 68 72296.6 44 SAFH 43 43 0 1 3.6 1 51 72297.5 45 SAFH 44 44 0 1 2.5 1 39 72297.8 46 SAFH 45 45 0 1 2.6 1 46 72313.2 47 SAFH 46 46 0 1 2.5 1 28 72314.1 48 SAFH 47 47 0 1 3.6 1 37 72315.1 49 SAFH 48 48 0 1 2.8 1 17 72318.1 50 SAFH 49 49 0 1 1.9 1 31 72319.9 51 SAFH 50 50 0 1 1.2 1 16 72320.5 52 SAFH 51 51 0 1 2.7 1 17 72322.4 53 SAFH 52 52 0 1 1.3 1 14 72323.4 54 SAFH 53 53 0 1 1.2 1 7.6 72323.9 55 SAFH 54 54 0 1 1.9 1 12 72325.8 56 SAFH 55 55 0 1 1.6 1 9.3 72326.5 57 SAFH 56 56 0 1 1 1 10 72327 58 SAFH 57 57 0 1 0.99 1 4.6 72327.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 1.5 1 6.2 72328.1 60 SAFH 59 59 0 1 1.4 1 4.9 72328.6 61 SAFH 60 60 0 1 1 1 3.1 72328.8 62 SAFH 61 61 0 1 0.67 1 2.5 72329 63 SAFH 62 62 0 1 0.73 1 4.6 72329 64 SAFH 63 63 0 1 0.85 1 3.5 72329.2 65 SAFH 64 64 0 1 0.84 1 1.6 72329.2 66 SAFH 65 65 0 1 1 1 2.5 72329.5 67 SAFH 66 66 0 1 0.93 1 2.1 72329.5 68 SAFH 67 67 0 1 0.5 1 1 72329.8 69 SAFH 68 68 0 1 0.6 1 1.8 72329.9 70 SAFH 69 69 0 1 0.7 1 1.1 72330.1 71 SAFH 70 70 0 1 0.52 1 0.73 72330.1 72 SAFH 71 71 0 1 0.38 1 0.69 72330.1 73 SAFH 72 72 0 1 0.41 1 0.59 72330.2 74 SAFH 73 73 0 1 0.29 1 0.38 72330.2 75 SAFH 74 74 0 1 0.37 1 0.4 72330.3 76 SAFH 75 75 0 1 0.43 1 0.5 72330.4 77 SAFH 76 76 0 1 0.31 1 0.48 72330.4 78 SAFH 77 77 0 1 0.21 1 0.2 72330.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 0.3 1 0.3 72330.4 80 SAFH 79 79 0 1 0.25 1 0.19 72330.4 81 SAFH 80 80 0 1 0.18 1 0.16 72330.4 82 SAFH 81 81 0 1 0.2 1 0.15 72330.4 83 SAFH 82 82 0 1 0.2 1 0.14 72330.4 84 SAFH 83 83 0 1 0.12 1 0.068 72330.5 85 SAFH 84 84 0 1 0.19 1 0.18 72330.5 86 SAFH 85 85 0 1 0.19 1 0.076 72330.5 87 SAFH 86 86 0 1 0.091 1 0.088 72330.5 88 SAFH 87 87 0 1 0.15 1 0.062 72330.5 89 SAFH 88 88 0 1 0.13 1 0.037 72330.5 90 SAFH 89 89 0 1 0.1 1 0.035 72330.5 91 SAFH 90 90 0 1 0.11 1 0.037 72330.5 92 SAFH 91 91 0 1 0.091 1 0.033 72330.5 93 SAFH 92 92 0 1 0.078 1 0.02 72330.5 94 SAFH 93 93 0 1 0.075 1 0.017 72330.5 95 SAFH 94 94 0 1 0.083 1 0.018 72330.5 96 SAFH 95 95 0 1 0.085 1 0.029 72330.5 97 SAFH 96 96 0 1 0.049 1 0.011 72330.5 98 SAFH 97 97 0 1 0.05 1 0.0098 72330.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 0.045 1 0.0086 72330.5 100 SAFH 99 99 0 1 0.048 1 0.0079 72330.5 101 SAFH 100 100 0 1 0.031 1 0.0045 72330.5 102 SAFH 101 101 0 1 0.04 1 0.005 72330.5 103 SAFH 102 102 0 1 0.038 1 0.0043 72330.5 104 SAFH 103 103 0 1 0.026 1 0.0033 72330.5 105 SAFH 104 104 0 1 0.024 1 0.0025 72330.5 106 SAFH 105 105 0 1 0.021 1 0.002 72330.5 107 SAFH 106 106 0 1 0.027 1 0.0023 72330.5 108 SAFH 107 107 0 1 0.021 1 0.0013 72330.5 109 SAFH 108 108 0 1 0.019 1 0.0014 72330.5 110 SAFH 109 109 0 1 0.019 1 0.0011 72330.5 111 SAFH 110 110 0 1 0.015 1 0.00085 72330.5 112 SAFH 111 111 0 1 0.012 1 0.00062 72330.5 113 SAFH 112 112 0 1 0.0095 1 0.00055 72330.5 114 SAFH 113 113 0 1 0.0096 1 0.00056 72330.5 115 SAFH 114 114 0 1 0.01 1 0.00033 72330.5 116 SAFH 115 115 0 1 0.01 1 0.00032 72330.5 117 SAFH 116 116 0 1 0.0082 1 0.00029 72330.5 118 SAFH 117 117 0 1 0.0068 1 0.00022 72330.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 118 118 0 1 0.0067 1 0.00016 72330.5 120 SAFH 119 119 0 1 0.0049 1 0.00015 72330.5 121 SAFH 120 120 0 1 0.0055 1 0.00016 72330.5 122 SAFH 121 121 0 1 0.0048 1 9.7E-05 72330.5 123 SAFH 122 122 0 1 0.0066 1 0.0002 72330.5 124 SAFH 123 123 0 1 0.0045 1 7.1E-05 72330.5 125 SAFH 124 124 0 1 0.0044 1 7E-05 72330.5 126 SAFH 125 125 0 1 0.0044 1 7.9E-05 72330.5 127 SAFH 126 126 0 1 0.0025 1 4E-05 72330.5 128 SAFH 127 127 0 1 0.0037 1 4E-05 72330.5 129 SAFH 128 128 0 1 0.0026 1 4.2E-05 72330.5 130 SAFH 129 129 0 1 0.0016 1 2.7E-05 72330.5 131 SAFH 130 130 0 1 0.0022 1 2.1E-05 72330.5 132 SAFH 131 131 0 1 0.0023 1 2E-05 72330.5 133 SAFH 132 132 0 1 0.0019 1 1.7E-05 72330.5 134 SAFH 133 133 0 1 0.0014 1 1.1E-05 72330.5 135 SAFH 134 134 0 1 0.0017 1 1E-05 72330.5 136 SAFH 135 135 0 1 0.0018 1 1E-05 72330.5 137 SAFH 136 136 0 1 0.0018 1 7.3E-06 72330.5 138 SAFH 137 137 0 1 0.0011 1 4.9E-06 72330.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 138 138 0 1 0.00072 1 5.7E-06 72330.5 140 SAFH 139 139 0 1 0.00058 1 3.9E-06 72330.5 141 SAFH 140 140 0 1 0.0012 1 3.5E-06 72330.5 142 SAFH 141 141 0 1 0.001 1 2.3E-06 72330.5 143 SAFH 142 142 0 1 0.00073 1 1.8E-06 72330.5 144 SAFH 143 143 0 1 0.00052 1 1.6E-06 72330.5 145 SAFH 144 144 0 1 0.00056 1 1.3E-06 72330.5 146 SAFJL 145 145 0 1 0.00049 0 9.7E-07 72330.5 147 SAFG 144 144 0 0.5 1.4E+02 0 0 41439.9 147 FOUND SOLUTION: 41439.9 (NLP) in 3 sec. 148 SAFH 144 144 0 0.5 1E+02 1 1.4E+05 -58200.8 149 SAFH 145 145 0 0.5 2.3E+02 1 2.2E+05 -24078.3 150 SAFG 146 146 0 0.5 2.4E+02 0 0 34857.1 150 FOUND SOLUTION: 34857.1 (NLP) in 4 sec. 151 SAFH 146 146 0 0.5 76 1 7.7E+04 -3970.95 152 SAFH 147 147 0 0.5 1.2E+02 1 4.3E+04 6104.54 153 SAFG 148 148 0 0.5 87 0 0 31247.8 153 FOUND SOLUTION: 31247.8 (NLP) in 4 sec. 154 SAFH 148 148 0 0.5 92 1 7.8E+04 -4917.41 155 SAFH 149 149 0 0.5 2.1E+02 1 7E+04 7097.46 156 SAFH 150 150 0 0.5 1.1E+02 1 5E+04 25158.6 157 SAFH 151 151 0 0.5 76 1 4.4E+04 22901.5 158 SAFH 152 152 0 0.5 1.3E+02 1 3.7E+04 9168.35 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 153 153 0 0.5 1.8E+02 1 3.8E+04 28656.6 160 SAFH 154 154 0 0.5 1E+02 1 5.1E+04 39907.1 161 SAFG 155 155 0 0.5 1.5E+02 0 0 24562.7 161 FOUND SOLUTION: 24562.7 (NLP) in 4 sec. 162 SAFH 155 155 0 0.5 56 1 5.2E+04 -7864.66 163 SAFH 156 156 0 0.5 92 1 3.9E+04 -2078.59 164 SAFG 157 157 0 0.5 95 0 0 22664.7 164 FOUND SOLUTION: 22664.7 (NLP) in 5 sec. 165 SAFH 157 157 0 0.5 38 1 2.7E+04 1565.04 166 SAFH 158 158 0 0.5 1E+02 1 2.3E+04 9930.9 167 SAFH 159 159 0 0.5 1.3E+02 1 2.2E+04 37795.7 168 SAFH 160 160 0 0.5 87 1 4.1E+04 40316.1 169 SAFH 161 161 0 0.5 93 1 2.7E+04 40771.2 170 SAFH 162 162 0 0.5 54 1 2.6E+04 40829.9 171 SAFH 163 163 0 0.5 49 1 1.2E+04 41300.2 172 SAFH 164 164 0 0.5 51 1 1E+04 41604.2 173 SAFH 165 165 0 0.5 30 1 7.5E+03 42211.7 174 SAFH 166 166 0 0.5 60 1 1.5E+04 42341 175 SAFH 167 167 0 0.5 30 1 5.2E+03 43361.4 176 SAFH 168 168 0 0.5 29 1 5.6E+03 44740.7 177 SAFH 169 169 0 0.5 16 1 3.2E+03 45266.4 178 SAFH 170 170 0 0.5 31 1 3.7E+03 45469.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 171 171 0 0.5 23 1 1.9E+03 46039.1 180 SAFH 172 172 0 0.5 17 1 2.1E+03 46247 181 SAFH 173 173 0 0.5 13 1 1.4E+03 46406.1 182 SAFH 174 174 0 0.5 18 1 9.4E+02 46642.8 183 SAFH 175 175 0 0.5 13 1 7E+02 46956.7 184 SAFH 176 176 0 0.5 8 1 7.5E+02 46969 185 SAFH 177 177 0 0.5 9.9 1 4.4E+02 46991.2 186 SAFH 178 178 0 0.5 11 1 3.3E+02 47148.4 187 SAFH 179 179 0 0.5 8.9 1 2.4E+02 47226.5 188 SAFH 180 180 0 0.5 9.2 1 3.5E+02 47229.6 189 SAFH 181 181 0 0.5 9.6 1 3.5E+02 47240.1 190 SAFH 182 182 0 0.5 5.4 1 1.4E+02 47246.3 191 SAFH 183 183 0 0.5 5.7 1 2.1E+02 47272.7 192 SAFH 184 184 0 0.5 3.9 1 1E+02 47285.1 193 SAFH 185 185 0 0.5 9.5 1 3.9E+02 47314 194 SAFH 186 186 0 0.5 7.6 1 1.9E+02 47318.8 195 SAFH 187 187 0 0.5 6.6 1 1.3E+02 47319.8 196 SAFH 188 188 0 0.5 4.8 1 76 47322.7 197 SAFH 189 189 0 0.5 4.9 1 75 47326.3 198 SAFH 190 190 0 0.5 4.2 1 51 47326.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 191 191 0 0.5 3.1 1 43 47330.7 200 SAFH 192 192 0 0.5 3.5 1 38 47335.2 201 SAFH 193 193 0 0.3 4.3 1 55 47337.2 202 SAFH 194 194 0 0.3 3 1 29 47339.3 203 SAFH 195 195 0 0.3 2.2 1 22 47345.8 204 SAFH 196 196 0 0.3 2.6 1 20 47348.2 205 SAFH 197 197 0 0.3 1.9 1 16 47348.8 206 SAFH 198 198 0 0.3 2.1 1 13 47352.3 207 SAFH 199 199 0 0.3 1.5 1 9.5 47353.6 208 SAFH 200 200 0 0.3 1.7 1 9.2 47353.9 209 SAFH 201 201 0 0.3 1.2 1 7.6 47356.2 210 SAFH 202 202 0 0.3 1.2 1 4.8 47356.5 211 SAFH 203 203 0 0.3 1.1 1 5.9 47356.8 212 SAFH 204 204 0 0.3 1.1 1 3.7 47357.6 213 SAFH 205 205 0 0.3 1.1 1 3.5 47358.1 214 SAFH 206 206 0 0.3 1 1 3.1 47358.6 215 SAFH 207 207 0 0.3 0.64 1 1.9 47358.7 216 SAFH 208 208 0 0.3 0.79 1 2.7 47358.9 217 SAFH 209 209 0 0.3 0.44 1 1.4 47359 218 SAFH 210 210 0 0.3 0.56 1 1.5 47359.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 211 211 0 0.3 0.67 1 1.6 47359.6 220 SAFH 212 212 0 0.3 0.57 1 0.9 47359.7 221 SAFH 213 213 0 0.3 0.44 1 0.73 47359.7 222 SAFH 214 214 0 0.3 0.43 1 0.66 47359.7 223 SAFH 215 215 0 0.3 0.58 1 1 47359.8 224 SAFH 216 216 0 0.3 0.34 1 0.41 47359.8 225 SAFH 217 217 0 0.3 0.51 1 1 47359.9 226 SAFH 218 218 0 0.3 0.26 1 0.43 47359.9 227 SAFH 219 219 0 0.3 0.3 1 0.46 47360 228 SAFH 220 220 0 0.3 0.14 1 0.23 47360 229 SAFH 221 221 0 0.3 0.24 1 0.25 47360 230 SAFH 222 222 0 0.3 0.29 1 0.28 47360 231 SAFH 223 223 0 0.3 0.23 1 0.19 47360.1 232 SAFH 224 224 0 0.3 0.11 1 0.12 47360.1 233 SAFH 225 225 0 0.3 0.2 1 0.12 47360.1 234 SAFH 226 226 0 0.3 0.21 1 0.14 47360.1 235 SAFH 227 227 0 0.3 0.086 1 0.073 47360.1 236 SAFH 228 228 0 0.3 0.11 1 0.11 47360.1 237 SAFH 229 229 0 0.3 0.13 1 0.18 47360.1 238 SAFH 230 230 0 0.3 0.076 1 0.059 47360.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 231 231 0 0.3 0.071 1 0.051 47360.1 240 SAFH 232 232 0 0.3 0.1 1 0.038 47360.1 241 SAFH 233 233 0 0.3 0.086 1 0.033 47360.1 242 SAFH 234 234 0 0.3 0.092 1 0.027 47360.1 243 SAFH 235 235 0 0.3 0.087 1 0.021 47360.1 244 SAFH 236 236 0 0.3 0.075 1 0.017 47360.1 245 SAFH 237 237 0 0.3 0.036 1 0.014 47360.1 246 SAFH 238 238 0 0.3 0.04 1 0.012 47360.1 247 SAFH 239 239 0 0.3 0.058 1 0.0088 47360.1 248 SAFH 240 240 0 0.3 0.042 1 0.0077 47360.1 249 SAFH 241 241 0 0.3 0.047 1 0.0062 47360.1 250 SAFH 242 242 0 0.3 0.042 1 0.005 47360.1 251 SAFH 243 243 0 0.3 0.037 1 0.004 47360.1 252 SAFH 244 244 0 0.3 0.017 1 0.0032 47360.1 253 SAFH 245 245 0 0.3 0.019 1 0.0028 47360.1 254 SAFH 246 246 0 0.3 0.028 1 0.0021 47360.1 255 SAFH 247 247 0 0.3 0.023 1 0.0018 47360.1 256 SAFH 248 248 0 0.3 0.023 1 0.0015 47360.1 257 SAFH 249 249 0 0.3 0.018 1 0.0012 47360.1 258 SAFH 250 250 0 0.3 0.016 1 0.00094 47360.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 251 251 0 0.3 0.0099 1 0.00076 47360.1 260 SAFH 252 252 0 0.3 0.0099 1 0.00066 47360.1 261 SAFH 253 253 0 0.3 0.01 1 0.00048 47360.1 262 SAFH 254 254 0 0.3 0.011 1 0.00042 47360.1 263 SAFH 255 255 0 0.3 0.007 1 0.00042 47360.1 264 SAFH 256 256 0 0.3 0.0061 1 0.00024 47360.1 265 SAFH 257 257 0 0.3 0.0093 1 0.00029 47360.1 266 SAFH 258 258 0 0.3 0.0067 1 0.00019 47360.1 267 SAFH 259 259 0 0.3 0.0049 1 0.00017 47360.1 268 SAFH 260 260 0 0.3 0.0043 1 0.00014 47360.1 269 SAFH 261 261 0 0.3 0.0035 1 0.0001 47360.1 270 SAFH 262 262 0 0.3 0.0054 1 8.8E-05 47360.1 271 SAFH 263 263 0 0.3 0.0051 1 7.9E-05 47360.1 272 SAFH 264 264 0 0.3 0.0045 1 6.7E-05 47360.1 273 SAFH 265 265 0 0.3 0.0033 1 4E-05 47360.1 274 SAFH 266 266 0 0.3 0.0028 1 5.2E-05 47360.1 275 SAFH 267 267 0 0.3 0.0017 1 3.4E-05 47360.1 276 SAFH 268 268 0 0.3 0.0033 1 3.1E-05 47360.1 277 SAFH 269 269 0 0.3 0.0024 1 2.1E-05 47360.1 278 SAFH 270 270 0 0.3 0.002 1 1.6E-05 47360.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 271 271 0 0.3 0.0016 1 1.7E-05 47360.1 280 SAFH 272 272 0 0.3 0.0018 1 1.3E-05 47360.1 281 SAFH 273 273 0 0.3 0.0018 1 1E-05 47360.1 282 SAFH 274 274 0 0.3 0.0016 1 6.8E-06 47360.1 283 SAFH 275 275 0 0.3 0.0013 1 9.8E-06 47360.1 284 SAFH 276 276 0 0.3 0.0012 1 5.5E-06 47360.1 285 SAFH 277 277 0 0.3 0.0013 1 5.1E-06 47360.1 286 SAFH 278 278 0 0.3 0.00097 1 4.8E-06 47360.1 287 SAFH 279 279 0 0.3 0.00094 1 2.8E-06 47360.1 288 SAFH 280 280 0 0.3 0.00093 1 2.8E-06 47360.1 289 SAFH 281 281 0 0.3 0.00074 1 2.8E-06 47360.1 290 SAFH 282 282 0 0.3 0.00065 1 2.5E-06 47360.1 291 SAFH 283 283 0 0.3 0.00057 1 1.3E-06 47360.1 292 SAFH 284 284 0 0.3 0.00065 1 1.5E-06 47360.1 293 SAFH 285 285 0 0.3 0.00068 1 1.7E-06 47360.1 294 SAFH 286 286 0 0.3 0.00033 1 1E-06 47360.1 295 SAFJ 287 287 0 0.3 0.00037 0 9E-07 47360.1 296 SAFJ 287 287 0 0.2 0 0 9E-07 47360.1 297 SAFJ 287 287 0 0.1 0 0 9E-07 47360.1 298 AFH 287 287 0 0 1.8E+02 1 3.9E+04 9238.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 288 288 0 0 1.1E+02 1 2.5E+04 9860.18 300 AFH 289 289 0 0 1.3E+02 1 3.6E+04 10491.1 301 AFH 290 290 0 0 89 1 1.6E+04 12114.9 302 AFH 291 291 0 0 93 1 1.9E+04 12870.8 303 AFH 292 292 0 0 97 1 1.6E+04 13950 304 AFH 293 293 0 0 92 1 1E+04 14567.6 305 AFH 294 294 0 0 78 1 1E+04 16224.9 306 AFH 295 295 0 0 93 1 1.6E+04 17696.7 307 AFH 296 296 0 0 73 1 6.9E+03 18208.6 308 AFH 297 297 0 0 90 1 1.4E+04 18676.8 309 AFH 298 298 0 0 1.1E+02 1 8.9E+03 19092.9 310 AFH 299 299 0 0 76 1 7E+03 19183 311 AFH 300 300 0 0 48 1 5.6E+03 19557.8 312 AFH 301 301 0 0 50 1 4.5E+03 19888 313 AFH 302 302 0 0 95 1 1.2E+04 19996.5 314 AFH 303 303 0 0 83 1 2.9E+03 20192.9 315 AFH 304 304 0 0 34 1 4.3E+03 20585.6 316 AFH 305 305 0 0 29 1 3.2E+03 20849.1 317 AFH 306 306 0 0 62 1 8.2E+03 21034.8 318 AFH 307 307 0 0 55 1 4E+03 21037.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 308 308 0 0 36 1 2.6E+03 21268.7 320 AFH 309 309 0 0 32 1 1.7E+03 21357.4 321 AFH 310 310 0 0 57 1 2.3E+03 21489.8 322 AFH 311 311 0 0 37 1 1.2E+03 21709.1 323 AFH 312 312 0 0 66 1 9.4E+03 21817.4 324 AFH 313 313 0 0 50 1 2.9E+03 22009.9 325 AFH 314 314 0 0 40 1 1.5E+03 22045.5 326 AFH 315 315 0 0 53 1 3.6E+03 22076.2 327 AFH 316 316 0 0 60 1 1.1E+03 22125.7 328 AFH 317 317 0 0 39 1 1.2E+03 22154.6 329 AFH 318 318 0 0 47 1 1.9E+03 22181.3 330 AFH 319 319 0 0 36 1 8.9E+02 22199.5 331 AFH 320 320 0 0 28 1 1.1E+03 22258.6 332 AFH 321 321 0 0 15 1 5E+02 22260.7 333 AFH 322 322 0 0 32 1 1.3E+03 22361.1 334 AFH 323 323 0 0 37 1 8.2E+02 22393.3 335 AFH 324 324 0 0 22 1 7.6E+02 22407.1 336 AFH 325 325 0 0 16 1 4.1E+02 22410.3 337 AFH 326 326 0 0 30 1 1.4E+03 22460.9 338 AFH 327 327 0 0 17 1 6.1E+02 22471.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 328 328 0 0 31 1 8.9E+02 22477.4 340 AFH 329 329 0 0 24 1 4.1E+02 22495.7 341 AFH 330 330 0 0 25 1 4.7E+02 22501.6 342 AFH 331 331 0 0 23 1 2.5E+02 22502.9 343 AFH 332 332 0 0 28 1 9.8E+02 22510.9 344 AFH 333 333 0 0 17 1 4.4E+02 22515.3 345 AFH 334 334 0 0 17 1 3.3E+02 22520.7 346 AFH 335 335 0 0 11 1 3.1E+02 22523.6 347 AFH 336 336 0 0 14 1 1.9E+02 22527.5 348 AFH 337 337 0 0 18 1 4.2E+02 22564.4 349 AFH 338 338 0 0 19 1 1.9E+02 22570 350 AFH 339 339 0 0 9.5 1 1.7E+02 22570.6 351 AFH 340 340 0 0 13 1 1.9E+02 22578.7 352 AFH 341 341 0 0 5.8 1 82 22588 353 AFH 342 342 0 0 24 1 4.1E+02 22613.3 354 AFH 343 343 0 0 19 1 2.7E+02 22629 355 AFH 344 344 0 0 5.4 1 1.6E+02 22634.9 356 AFH 345 345 0 0 4.6 1 1.6E+02 22635.8 357 AFH 346 346 0 0 7.6 1 94 22637.7 358 AFH 347 347 0 0 7.7 1 96 22639.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 348 348 0 0 6.2 1 1E+02 22641 360 AFH 349 349 0 0 5.2 1 78 22641.9 361 AFH 350 350 0 0 5 1 69 22642.5 362 AFH 351 351 0 0 2.8 1 49 22643.2 363 AFH 352 352 0 0 5 1 52 22645.6 364 AFH 353 353 0 0 3.9 1 47 22645.8 365 AFH 354 354 0 0 8.2 1 82 22648.5 366 AFH 355 355 0 0 5.5 1 45 22648.6 367 AFH 356 356 0 0 4.9 1 32 22648.7 368 AFH 357 357 0 0 4.6 1 29 22649.8 369 AFH 358 358 0 0 3.1 1 28 22650.8 370 AFH 359 359 0 0 4.5 1 43 22653.1 371 AFH 360 360 0 0 2.7 1 24 22653.3 372 AFH 361 361 0 0 3.3 1 22 22653.9 373 AFH 362 362 0 0 2.5 1 23 22654.4 374 AFH 363 363 0 0 4.9 1 15 22654.5 375 AFH 364 364 0 0 2.2 1 14 22655.5 376 AFH 365 365 0 0 2.2 1 14 22658.7 377 AFH 366 366 0 0 2.1 1 12 22658.8 378 AFH 367 367 0 0 1.9 1 10 22659 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 368 368 0 0 2.2 1 8.3 22659.3 380 AFH 369 369 0 0 2.3 1 9.8 22659.6 381 AFH 370 370 0 0 1.2 1 5.3 22659.9 382 AFH 371 371 0 0 4.8 1 24 22661.7 383 AFH 372 372 0 0 2.8 1 11 22661.9 384 AFH 373 373 0 0 1.8 1 6.2 22662.6 385 AFH 374 374 0 0 1.6 1 6.6 22662.7 386 AFH 375 375 0 0 2.1 1 6.9 22662.7 387 AFH 376 376 0 0 3.9 1 4.5 22662.9 388 AFH 377 377 0 0 2.1 1 7.1 22663 389 AFH 378 378 0 0 1.3 1 3.7 22663 390 AFH 379 379 0 0 0.84 1 3.1 22663.1 391 AFH 380 380 0 0 1.1 1 3.8 22663.4 392 AFH 381 381 0 0 1.1 1 3 22663.4 393 AFH 382 382 0 0 1.4 1 3 22663.4 394 AFH 383 383 0 0 1.1 1 1.7 22663.4 395 AFH 384 384 0 0 1.4 1 3.5 22663.7 396 AFH 385 385 0 0 0.96 1 2.6 22663.8 397 AFH 386 386 0 0 1 1 1.7 22663.8 398 AFH 387 387 0 0 1.3 1 3 22663.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 388 388 0 0 1.1 1 2.1 22664 400 AFH 389 389 0 0 0.49 1 1.4 22664 401 AFH 390 390 0 0 0.85 1 1.6 22664 402 AFH 391 391 0 0 1 1 1.3 22664 403 AFH 392 392 0 0 0.72 1 1 22664.1 404 AFH 393 393 0 0 0.57 1 1.3 22664.1 405 AFH 394 394 0 0 0.31 1 0.65 22664.1 406 AFH 395 395 0 0 1.1 1 1.8 22664.2 407 AFH 396 396 0 0 0.63 1 1.3 22664.3 408 AFH 397 397 0 0 0.46 1 0.97 22664.3 409 AFH 398 398 0 0 0.71 1 1 22664.3 410 AFH 399 399 0 0 2.6 1 0.8 22664.3 411 AFH 400 400 0 0 0.52 1 0.6 22664.4 412 AFH 401 401 0 0 0.34 1 0.52 22664.4 413 AFH 402 402 0 0 0.49 1 0.48 22664.5 414 AFH 403 403 0 0 0.48 1 0.72 22664.5 415 AFH 404 404 0 0 0.36 1 0.33 22664.5 416 AFH 405 405 0 0 0.41 1 0.31 22664.5 417 AFH 406 406 0 0 0.5 1 0.36 22664.5 418 AFH 407 407 0 0 0.36 1 0.32 22664.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 408 408 0 0 0.34 1 0.27 22664.5 420 AFH 409 409 0 0 0.36 1 0.26 22664.6 421 AFH 410 410 0 0 0.3 1 0.17 22664.6 422 AFH 411 411 0 0 0.2 1 0.18 22664.6 423 AFH 412 412 0 0 0.26 1 0.26 22664.6 424 AFH 413 413 0 0 0.26 1 0.14 22664.6 425 AFH 414 414 0 0 0.33 1 0.16 22664.6 426 AFH 415 415 0 0 0.28 1 0.15 22664.6 427 AFH 416 416 0 0 0.19 1 0.17 22664.6 428 AFH 417 417 0 0 0.2 1 0.083 22664.6 429 AFH 418 418 0 0 0.2 1 0.097 22664.6 430 AFH 419 419 0 0 0.38 1 0.22 22664.6 431 AFH 420 420 0 0 0.24 1 0.13 22664.6 432 AFH 421 421 0 0 0.19 1 0.08 22664.6 433 AFH 422 422 0 0 0.2 1 0.077 22664.6 434 AFH 423 423 0 0 0.25 1 0.13 22664.6 435 AFH 424 424 0 0 0.2 1 0.069 22664.6 436 AFH 425 425 0 0 0.18 1 0.051 22664.6 437 AFH 426 426 0 0 0.17 1 0.047 22664.6 438 AFH 427 427 0 0 0.19 1 0.05 22664.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 428 428 0 0 0.1 1 0.04 22664.7 440 AFH 429 429 0 0 0.14 1 0.047 22664.7 441 AFH 430 430 0 0 0.12 1 0.027 22664.7 442 AFH 431 431 0 0 0.13 1 0.035 22664.7 443 AFH 432 432 0 0 0.12 1 0.027 22664.7 444 AFH 433 433 0 0 4.1 1 0.028 22664.7 445 AFH 434 434 0 0 0.11 1 0.02 22664.7 446 AFH 435 435 0 0 0.11 1 0.02 22664.7 447 AFH 436 436 0 0 0.1 1 0.02 22664.7 448 AFH 437 437 0 0 0.11 1 0.016 22664.7 449 AFH 438 438 0 0 2.1 1 0.013 22664.7 450 AFH 439 439 0 0 0.077 1 0.012 22664.7 451 AFH 440 440 0 0 0.086 1 0.01 22664.7 452 AFH 441 441 0 0 0.077 1 0.0082 22664.7 453 AFH 442 442 0 0 2.1 1 0.0082 22664.7 454 AFH 443 443 0 0 2.1 1 0.0094 22664.7 455 AFH 444 444 0 0 0.052 1 0.006 22664.7 456 AFH 445 445 0 0 0.064 1 0.0056 22664.7 457 AFH 446 446 0 0 0.054 1 0.0068 22664.7 458 AFH 447 447 0 0 0.044 1 0.0056 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 448 448 0 0 0.036 1 0.0034 22664.7 460 AFH 449 449 0 0 0.051 1 0.0051 22664.7 461 AFH 450 450 0 0 0.042 1 0.0031 22664.7 462 AFH 451 451 0 0 0.048 1 0.0032 22664.7 463 AFH 452 452 0 0 0.047 1 0.003 22664.7 464 AFH 453 453 0 0 0.033 1 0.0031 22664.7 465 AFH 454 454 0 0 0.025 1 0.0022 22664.7 466 AFH 455 455 0 0 0.032 1 0.0016 22664.7 467 AFH 456 456 0 0 2 1 0.0022 22664.7 468 AFH 457 457 0 0 0.024 1 0.0017 22664.7 469 AFH 458 458 0 0 0.028 1 0.0014 22664.7 470 AFH 459 459 0 0 0.025 1 0.0015 22664.7 471 AFH 460 460 0 0 0.025 1 0.001 22664.7 472 AFH 461 461 0 0 0.029 1 0.0011 22664.7 473 AFH 462 462 0 0 0.024 1 0.00083 22664.7 474 AFH 463 463 0 0 0.02 1 0.00088 22664.7 475 AFH 464 464 0 0 0.015 1 0.00067 22664.7 476 AFH 465 465 0 0 0.019 1 0.00058 22664.7 477 AFH 466 466 0 0 0.017 1 0.00047 22664.7 478 AFH 467 467 0 0 0.016 1 0.00064 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 468 468 0 0 0.019 1 0.00043 22664.7 480 AFH 469 469 0 0 0.014 1 0.00048 22664.7 481 AFH 470 470 0 0 0.0095 1 0.00028 22664.7 482 AFH 471 471 0 0 0.01 1 0.00033 22664.7 483 AFH 472 472 0 0 0.011 1 0.00024 22664.7 484 AFH 473 473 0 0 0.013 1 0.00031 22664.7 485 AFH 474 474 0 0 0.0092 1 0.0002 22664.7 486 AFH 475 475 0 0 0.014 1 0.00026 22664.7 487 AFH 476 476 0 0 0.0066 1 0.00015 22664.7 488 AFH 477 477 0 0 0.01 1 0.00015 22664.7 489 AFH 478 478 0 0 0.0093 1 0.00019 22664.7 490 AFH 479 479 0 0 0.0087 1 0.00015 22664.7 491 AFH 480 480 0 0 0.0061 1 9.6E-05 22664.7 492 AFH 481 481 0 0 0.0076 1 0.00011 22664.7 493 AFH 482 482 0 0 0.0077 1 8.8E-05 22664.7 494 AFH 483 483 0 0 0.0066 1 0.00012 22664.7 495 AFH 484 484 0 0 4 1 7.7E-05 22664.7 496 AFH 485 485 0 0 0.0043 1 6.1E-05 22664.7 497 AFH 486 486 0 0 0.0049 1 5.6E-05 22664.7 498 AFH 487 487 0 0 0.0047 1 6.1E-05 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 488 488 0 0 0.0046 1 5.5E-05 22664.7 500 AFH 489 489 0 0 0.0049 1 3.7E-05 22664.7 501 AFH 490 490 0 0 0.0049 1 3.1E-05 22664.7 502 AFH 491 491 0 0 4 1 4.4E-05 22664.7 503 AFH 492 492 0 0 0.0032 1 3.9E-05 22664.7 504 AFH 493 493 0 0 0.0032 1 2.3E-05 22664.7 505 AFH 494 494 0 0 4 1 2.5E-05 22664.7 506 AFH 495 495 0 0 0.0033 1 3.5E-05 22664.7 507 AFH 496 496 0 0 0.0013 1 1.8E-05 22664.7 508 AFH 497 497 0 0 0.0036 1 2.6E-05 22664.7 509 AFH 498 498 0 0 0.0033 1 2.1E-05 22664.7 510 AFH 499 499 0 0 0.0015 1 1.2E-05 22664.7 511 AFH 500 500 0 0 0.0023 1 1.5E-05 22664.7 512 AFH 501 501 0 0 0.0021 1 1.6E-05 22664.7 513 AFH 502 502 0 0 0.0026 1 1.1E-05 22664.7 514 AFH 503 503 0 0 0.0024 1 1.5E-05 22664.7 515 AFH 504 504 0 0 0.0021 1 7.4E-06 22664.7 516 AFH 505 505 0 0 0.0021 1 9.6E-06 22664.7 517 AFH 506 506 0 0 0.0027 1 1.1E-05 22664.7 518 AFH 507 507 0 0 0.0022 1 6.7E-06 22664.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 508 508 0 0 0.0018 1 5.8E-06 22664.7 520 AFH 509 509 0 0 0.0018 1 7E-06 22664.7 521 AFH 510 510 0 0 0.0015 1 4.1E-06 22664.7 522 AFH 511 511 0 0 0.0018 1 5.8E-06 22664.7 523 AFH 512 512 0 0 0.0017 1 4.5E-06 22664.7 524 AFH 513 513 0 0 0.0015 1 3.2E-06 22664.7 525 AFH 514 514 0 0 0.0016 1 4.1E-06 22664.7 526 AFH 515 515 0 0 0.0018 1 4E-06 22664.7 527 AFH 516 516 0 0 0.0011 1 2.6E-06 22664.7 528 AFH 517 517 0 0 0.00085 1 2.1E-06 22664.7 529 AFH 518 518 0 0 0.00098 1 2.9E-06 22664.7 530 AFH 519 519 0 0 0.001 1 2E-06 22664.7 531 AFH 520 520 0 0 0.0012 1 1.7E-06 22664.7 532 AFH 521 521 0 0 0.00098 1 1.9E-06 22664.7 533 AFH 522 522 0 0 0.00051 1 1.3E-06 22664.7 534 AFH 523 523 0 0 0.00058 1 1.4E-06 22664.7 535 AFJ 524 524 0 0 0.00081 0 9.9E-07 22664.7 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.50_SLay05M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22664.67865467863885 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 22664.67865467863885 Max constraint (1) : -0 Time used (seconds) : 77.79 Time limit (seconds) : 7200 Iterations used : 535 Iteration limit : -1 Function evaluations : 1016 Gradient evaluations : 525 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 2.3 % MIP time usage : 97.7 % Optimal/total MIPs : 238/535 NLP solver calls : 536 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay05M.gms(261) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay05M.gms Stop 09/14/12 14:39:16 elapsed 0:01:17.818 @04 1347626356 ----------------------------- Fr 14. Sep 14:39:16 CEST 2012 ----------------------------- =ready= Linux opt231 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay06H.gms =========== ----------------------------- Fr 14. Sep 14:38:00 CEST 2012 ----------------------------- @03 1347626280 --- Job SLay06H.gms Start 09/14/12 14:38:00 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay06H.gms(1024) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- SLay06H.gms(1022) 3 Mb --- Generating MIQCP model m --- SLay06H.gms(1024) 5 Mb --- 436 rows 343 columns 1,243 non-zeroes --- 51 nl-code 12 nl-non-zeroes --- 60 discrete-columns --- SLay06H.gms(1024) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.012 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.51_SLay06H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1243 elements of which 1% are non-linear(NL) included in 436 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 12 from a total of 343 variables: Continuous(283), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=72 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.2E+05 NA 1 SAFG 1 1 0 1 1.1E+03 0 0 65706.8 1 FOUND SOLUTION: 65706.8 (NLP) in 1 sec. 2 SAFH 1 1 0 1 7.3E+02 1 9.1E+05 -563271 3 SAFH 2 2 0 1 8.5E+02 1 4E+05 -248237 4 SAFH 3 3 0 1 8E+02 1 3.4E+05 -114074 5 SAFH 4 4 0 1 5E+02 1 1.4E+05 -38159.2 6 SAFH 5 5 0 1 3.7E+02 1 1.2E+05 -18550.4 7 SAFH 6 6 0 1 3.4E+02 1 6.5E+04 19947.6 8 SAFH 7 7 0 1 3.3E+02 1 5.3E+04 32026.6 9 SAFH 8 8 0 1 2.6E+02 1 3E+04 40754 10 SAFH 9 9 0 1 1.8E+02 1 2.2E+04 53482.8 11 SAFH 10 10 0 1 1.7E+02 1 1.4E+04 55930 12 SAFH 11 11 0 1 1.2E+02 1 6.1E+03 60359 13 SAFH 12 12 0 1 2.2E+02 1 1.4E+04 62871.8 14 SAFH 13 13 0 1 1.5E+02 1 7.5E+03 63002.2 15 SAFH 14 14 0 1 80 1 3.6E+03 63142.6 16 SAFH 15 15 0 1 85 1 2.6E+03 64657.5 17 SAFH 16 16 0 1 52 1 1.4E+03 64733.3 18 SAFH 17 17 0 1 62 1 1.4E+03 64786.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 55 1 1.3E+03 64899.7 20 SAFH 19 19 0 1 38 1 5E+02 65235.2 21 SAFH 20 20 0 1 30 1 4.9E+02 65516.4 22 SAFH 21 21 0 1 30 1 3.8E+02 65552.3 23 SAFH 22 22 0 1 32 1 3.8E+02 65598.5 24 SAFH 23 23 0 1 21 1 1.5E+02 65605.2 25 SAFH 24 24 0 1 22 1 1.5E+02 65648 26 SAFH 25 25 0 1 22 1 2.1E+02 65655.5 27 SAFH 26 26 0 1 15 1 68 65660.8 28 SAFH 27 27 0 1 14 1 61 65665.7 29 SAFH 28 28 0 1 8.2 1 40 65674.4 30 SAFH 29 29 0 1 8.3 1 21 65689.5 31 SAFH 30 30 0 1 6.6 1 20 65696.9 32 SAFH 31 31 0 1 3.6 1 10 65699.9 33 SAFH 32 32 0 1 5.1 1 7.8 65700.8 34 SAFH 33 33 0 1 2.8 1 6.1 65703.1 35 SAFH 34 34 0 1 2 1 2.9 65704.1 36 SAFH 35 35 0 1 2.9 1 2.7 65705.7 37 SAFH 36 36 0 1 1.9 1 1.5 65706 38 SAFH 37 37 0 1 1.4 1 0.95 65706.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 1 1 0.84 65706.4 40 SAFH 39 39 0 1 1 1 0.4 65706.4 41 SAFH 40 40 0 1 0.98 1 0.37 65706.6 42 SAFH 41 41 0 1 0.85 1 0.28 65706.6 43 SAFH 42 42 0 1 0.41 1 0.13 65706.6 44 SAFH 43 43 0 1 0.69 1 0.21 65706.7 45 SAFH 44 44 0 1 0.52 1 0.079 65706.7 46 SAFH 45 45 0 1 0.62 1 0.11 65706.7 47 SAFH 46 46 0 1 0.37 1 0.04 65706.7 48 SAFH 47 47 0 1 0.44 1 0.057 65706.7 49 SAFH 48 48 0 1 0.19 1 0.022 65706.7 50 SAFH 49 49 0 1 0.25 1 0.026 65706.7 51 SAFH 50 50 0 1 0.1 1 0.011 65706.8 52 SAFH 51 51 0 1 0.17 1 0.012 65706.8 53 SAFH 52 52 0 1 0.091 1 0.0055 65706.8 54 SAFH 53 53 0 1 0.095 1 0.0045 65706.8 55 SAFH 54 54 0 1 0.063 1 0.0028 65706.8 56 SAFH 55 55 0 1 0.056 1 0.0017 65706.8 57 SAFH 56 56 0 1 0.059 1 0.0023 65706.8 58 SAFH 57 57 0 1 0.048 1 0.00083 65706.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 0.062 1 0.0014 65706.8 60 SAFH 59 59 0 1 0.042 1 0.0005 65706.8 61 SAFH 60 60 0 1 0.053 1 0.00079 65706.8 62 SAFH 61 61 0 1 0.027 1 0.00027 65706.8 63 SAFH 62 62 0 1 0.03 1 0.00032 65706.8 64 SAFH 63 63 0 1 0.018 1 0.00013 65706.8 65 SAFH 64 64 0 1 0.019 1 0.00014 65706.8 66 SAFH 65 65 0 1 0.014 1 8.5E-05 65706.8 67 SAFH 66 66 0 1 0.0084 1 4.7E-05 65706.8 68 SAFH 67 67 0 1 0.01 1 4.5E-05 65706.8 69 SAFH 68 68 0 1 0.0062 1 2.1E-05 65706.8 70 SAFH 69 69 0 1 0.0063 1 1.8E-05 65706.8 71 SAFH 70 70 0 1 0.005 1 1.2E-05 65706.8 72 SAFH 71 71 0 1 0.0035 1 6.5E-06 65706.8 73 SAFH 72 72 0 1 0.0038 1 6.3E-06 65706.8 74 SAFH 73 73 0 1 0.003 1 3E-06 65706.8 75 SAFH 74 74 0 1 0.0024 1 2.6E-06 65706.8 76 SAFH 75 75 0 1 0.0019 1 1.7E-06 65706.8 77 SAFJL 76 76 0 1 0.0015 0 9.2E-07 65706.8 78 SAFG 75 75 0 0.5 1.4E+03 0 0 58821.5 78 FOUND SOLUTION: 58821.5 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 75 75 0 0.5 5.5E+02 1 3.2E+05 -36281.6 80 SAFG 76 76 0 0.5 1.2E+03 0 0 51626.4 80 FOUND SOLUTION: 51626.4 (NLP) in 2 sec. 81 SAFH 76 76 0 0.5 4.2E+02 1 1.9E+05 -22335.6 82 SAFG 77 77 0 0.5 8.2E+02 0 0 48226.7 82 FOUND SOLUTION: 48226.7 (NLP) in 3 sec. 83 SAFH 77 77 0 0.5 2.4E+02 1 1.1E+05 -28798.2 84 SAFH 78 78 0 0.5 9.3E+02 1 1E+05 -6203.52 85 SAFG 79 79 0 0.5 1.3E+03 0 0 43308 85 FOUND SOLUTION: 43308 (NLP) in 3 sec. 86 SAFH 79 79 0 0.5 1E+02 1 5.7E+04 -4568.79 87 SAFH 80 80 0 0.5 1.1E+03 1 4.9E+04 3139.23 88 SAFH 81 81 0 0.5 7.7E+02 1 4.7E+04 26572 89 SAFG 82 82 0 0.5 3.6E+02 0 0 39149.6 89 FOUND SOLUTION: 39149.6 (NLP) in 4 sec. 90 SAFH 82 82 0 0.5 79 1 2.7E+04 14554.5 91 SAFH 83 83 0 0.5 7.5E+02 1 4.1E+04 17942.5 92 SAFH 84 84 0 0.5 7.5E+02 1 3.8E+04 26376.6 93 SAFH 85 85 0 0.5 1.2E+03 1 3.8E+04 26434.6 94 SAFH 86 86 0 0.5 1E+03 1 3.6E+04 22729.4 95 SAFG 87 87 0 0.5 5E+02 0 0 35432.9 95 FOUND SOLUTION: 35432.9 (NLP) in 5 sec. 96 SAFH 87 87 0 0.5 1.7E+02 1 2.4E+04 21683.4 97 SAFH 88 88 0 0.5 8.6E+02 1 2.1E+04 41739.5 98 SAFH 89 89 0 0.5 7.6E+02 1 2.6E+04 22584.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 90 90 0 0.5 8.3E+02 1 2.5E+04 27211.7 100 SAFH 91 91 0 0.5 8.2E+02 1 2.6E+04 27959.7 101 SAFH 92 92 0 0.5 7.6E+02 1 3.7E+04 29547.3 102 SAFH 93 93 0 0.5 7.1E+02 1 2.6E+04 23535.9 103 SAFH 94 94 0 0.5 8.4E+02 1 3.5E+04 39932.6 104 SAFH 95 95 0 0.5 9.5E+02 1 2E+04 41589.8 105 SAFH 96 96 0 0.5 1.1E+03 1 3.2E+04 54084.4 106 SAFH 97 97 0 0.5 8.8E+02 1 2.2E+04 24763.1 107 SAFG 98 98 0 0.5 7.4E+02 0 0 34659.4 107 FOUND SOLUTION: 34659.4 (NLP) in 7 sec. 108 SAFH 98 98 0 0.5 92 1 1.4E+04 23820.9 109 SAFH 99 99 0 0.5 1.2E+03 1 5.5E+04 57974 110 SAFH 100 100 0 0.5 3.3E+02 1 6.2E+04 65232.9 111 SAFH 101 101 0 0.5 2E+02 1 3.1E+04 74454.6 112 SAFH 102 102 0 0.5 2.1E+02 1 3.3E+04 79472.7 113 SAFH 103 103 0 0.5 1.2E+03 1 3E+04 36255.9 114 SAFH 104 104 0 0.5 3.3E+02 1 1.8E+04 32375.5 115 SAFH 105 105 0 0.5 8.6E+02 1 1.5E+04 24462.7 116 SAFH 106 106 0 0.5 9.8E+02 1 1.4E+04 59123.2 117 SAFH 107 107 0 0.5 3E+02 1 2.3E+04 64546.1 118 SAFH 108 108 0 0.5 92 1 7.4E+03 65414.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 109 109 0 0.5 82 1 5.8E+03 66187.1 120 SAFH 110 110 0 0.5 46 1 2.8E+03 66944 121 SAFH 111 111 0 0.5 3.1E+02 1 5.6E+03 73859.9 122 SAFH 112 112 0 0.5 84 1 4.3E+03 77248.5 123 SAFH 113 113 0 0.5 1.3E+02 1 4.1E+03 79597.2 124 SAFH 114 114 0 0.5 1.4E+02 1 2.6E+03 77834.6 125 SAFH 115 115 0 0.5 37 1 1.1E+03 78024.3 126 SAFH 116 116 0 0.5 32 1 7E+02 78420.9 127 SAFH 117 117 0 0.5 20 1 3.2E+02 78456.1 128 SAFH 118 118 0 0.5 14 1 1.3E+02 78758.3 129 SAFH 119 119 0 0.5 6.3 1 34 78760.6 130 SAFH 120 120 0 0.5 3.4 1 9.8 78761.8 131 SAFH 121 121 0 0.5 2.3 1 4.4 78762.7 132 SAFH 122 122 0 0.5 11 1 1.1E+02 78766.8 133 SAFH 123 123 0 0.5 5.7 1 28 78767 134 SAFH 124 124 0 0.5 2.8 1 6.9 78767 135 SAFH 125 125 0 0.5 1.4 1 1.7 78767.1 136 SAFH 126 126 0 0.5 0.71 1 0.43 78767.1 137 SAFH 127 127 0 0.5 0.36 1 0.11 78767.1 138 SAFH 128 128 0 0.5 0.18 1 0.027 78767.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 129 129 0 0.5 0.089 1 0.0068 78767.1 140 SAFH 130 130 0 0.5 0.044 1 0.0017 78767.1 141 SAFH 131 131 0 0.5 0.022 1 0.00042 78767.1 142 SAFH 132 132 0 0.5 0.011 1 0.00011 78767.1 143 SAFH 133 133 0 0.5 0.0055 1 2.6E-05 78767.1 144 SAFH 134 134 0 0.5 8.4E+02 1 2.8E+04 34668.9 145 SAFH 135 135 0 0.5 1.2E+03 1 1.7E+04 62017.3 146 SAFH 136 136 0 0.5 1.6E+02 1 1.1E+04 69598.5 147 SAFH 137 137 0 0.5 1.1E+02 1 6.2E+03 70379.8 148 SAFH 138 138 0 0.5 93 1 4E+03 71471.6 149 SAFH 139 139 0 0.5 67 1 3.3E+03 73400.2 150 SAFH 140 140 0 0.5 48 1 1.5E+03 73406.5 151 SAFH 141 141 0 0.5 53 1 1.3E+03 74202.2 152 SAFH 142 142 0 0.5 49 1 1.3E+03 74340 153 SAFH 143 143 0 0.5 34 1 5E+02 74365 154 SAFH 144 144 0 0.5 32 1 3.5E+02 74561.1 155 SAFH 145 145 0 0.5 18 1 1.6E+02 74616.7 156 SAFH 146 146 0 0.5 24 1 2.5E+02 74664.1 157 SAFH 147 147 0 0.5 14 1 99 74705.2 158 SAFH 148 148 0 0.5 13 1 1E+02 74712.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 149 149 0 0.5 8.9 1 43 74731.7 160 SAFH 150 150 0 0.5 10 1 48 74732.4 161 SAFH 151 151 0 0.5 6.9 1 25 74744 162 SAFH 152 152 0 0.5 5.1 1 16 74748.2 163 SAFH 153 153 0 0.5 5 1 13 74757.1 164 SAFH 154 154 0 0.5 4.2 1 6.7 74757.4 165 SAFH 155 155 0 0.5 2.8 1 5.5 74759 166 SAFH 156 156 0 0.5 4.3 1 6.6 74759.5 167 SAFH 157 157 0 0.5 2.6 1 2.3 74760.2 168 SAFH 158 158 0 0.5 3.1 1 3.3 74761.1 169 SAFH 159 159 0 0.5 1.6 1 1.5 74761.7 170 SAFH 160 160 0 0.5 1.5 1 1.2 74761.8 171 SAFH 161 161 0 0.5 1.3 1 1.1 74761.9 172 SAFH 162 162 0 0.5 0.94 1 0.45 74762 173 SAFH 163 163 0 0.5 1.1 1 0.63 74762.2 174 SAFH 164 164 0 0.5 0.79 1 0.32 74762.2 175 SAFH 165 165 0 0.5 0.53 1 0.2 74762.2 176 SAFH 166 166 0 0.5 0.5 1 0.13 74762.2 177 SAFH 167 167 0 0.5 0.56 1 0.25 74762.3 178 SAFH 168 168 0 0.5 0.44 1 0.08 74762.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 169 169 0 0.5 0.38 1 0.059 74762.3 180 SAFH 170 170 0 0.5 0.31 1 0.034 74762.3 181 SAFH 171 171 0 0.5 0.2 1 0.024 74762.3 182 SAFH 172 172 0 0.5 0.34 1 0.038 74762.4 183 SAFH 173 173 0 0.5 0.19 1 0.013 74762.4 184 SAFH 174 174 0 0.5 0.19 1 0.012 74762.4 185 SAFH 175 175 0 0.5 0.086 1 0.0061 74762.4 186 SAFH 176 176 0 0.5 0.1 1 0.0048 74762.4 187 SAFH 177 177 0 0.5 0.065 1 0.0035 74762.4 188 SAFH 178 178 0 0.5 0.07 1 0.0018 74762.4 189 SAFH 179 179 0 0.5 0.069 1 0.0018 74762.4 190 SAFH 180 180 0 0.5 0.039 1 0.00087 74762.4 191 SAFH 181 181 0 0.5 0.038 1 0.00068 74762.4 192 SAFH 182 182 0 0.5 0.024 1 0.00048 74762.4 193 SAFH 183 183 0 0.5 0.022 1 0.00025 74762.4 194 SAFH 184 184 0 0.5 0.019 1 0.00024 74762.4 195 SAFH 185 185 0 0.5 0.015 1 0.00012 74762.4 196 SAFH 186 186 0 0.5 0.017 1 9.4E-05 74762.4 197 SAFH 187 187 0 0.5 0.012 1 7.1E-05 74762.4 198 SAFH 188 188 0 0.5 0.0085 1 3.5E-05 74762.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 189 189 0 0.5 0.008 1 3.5E-05 74762.4 200 SAFH 190 190 0 0.5 0.0083 1 3.3E-05 74762.4 201 SAFH 191 191 0 0.3 0.005 1 1.3E-05 74762.4 202 SAFH 192 192 0 0.3 0.0051 1 1.2E-05 74762.4 203 SAFH 193 193 0 0.3 0.0046 1 1.1E-05 74762.4 204 SAFH 194 194 0 0.3 0.0038 1 4.5E-06 74762.4 205 SAFH 195 195 0 0.3 0.0056 1 1E-05 74762.4 206 SAFH 196 196 0 0.3 0.0031 1 4.1E-06 74762.4 207 SAFH 197 197 0 0.3 0.0026 1 3.3E-06 74762.4 208 SAFH 198 198 0 0.3 0.0019 1 2.6E-06 74762.4 209 SAFH 199 199 0 0.3 0.0015 1 1.2E-06 74762.4 210 SAFH 200 200 0 0.3 0.0021 1 2.8E-06 74762.4 211 SAFH 201 201 0 0.3 0.0017 1 1.5E-06 74762.4 212 SAFJ 202 202 0 0.3 0.001 0 7.8E-07 74762.4 213 SAFJ 202 202 0 0.2 0 0 7.8E-07 74762.4 214 SAFJ 202 202 0 0.1 0 0 7.8E-07 74762.4 215 AFH 202 202 0 0 1.1E+03 1 1.4E+04 24176.1 216 AFG 203 203 0 0 3.4E+02 0 0 32929.7 216 FOUND SOLUTION: 32929.7 (NLP) in 38 sec. 217 AFH 203 203 0 0 1.9E+02 1 1.9E+04 24929.2 218 AFH 204 204 0 0 2.9E+02 1 1.3E+04 25112.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 205 205 0 0 5.1E+02 1 9.1E+03 25931.3 220 AFH 206 206 0 0 4.5E+02 1 9.7E+03 27550.3 221 AFH 207 207 0 0 6.7E+02 1 1.4E+04 28143 222 AFH 208 208 0 0 5.5E+02 1 6.8E+03 28226.5 223 AFH 209 209 0 0 6.7E+02 1 1.2E+04 28516.3 224 AFH 210 210 0 0 4.3E+02 1 9E+03 28591.9 225 AFH 211 211 0 0 3.6E+02 1 4.5E+03 28760.6 226 AFH 212 212 0 0 5.7E+02 1 1.1E+04 29691.1 227 AFH 213 213 0 0 7.2E+02 1 6.4E+03 30109.7 228 AFH 214 214 0 0 6.6E+02 1 5.8E+03 30281.6 229 AFH 215 215 0 0 5.4E+02 1 5.7E+03 30434.1 230 AFH 216 216 0 0 5.5E+02 1 3.9E+03 30561.7 231 AFG 217 217 0 0 4.7E+02 0 0 32757 231 FOUND SOLUTION: 32757 (NLP) in 52 sec. 232 AFH 217 217 0 0 49 1 2.7E+03 30679.1 233 AFH 218 218 0 0 5.1E+02 1 1.4E+04 30684 234 AFH 219 219 0 0 5E+02 1 8.1E+03 31034.4 235 AFH 220 220 0 0 4.8E+02 1 5.7E+03 31072 236 AFH 221 221 0 0 4.1E+02 1 2.8E+03 31225.6 237 AFH 222 222 0 0 4.9E+02 1 3.9E+03 31407.7 238 AFH 223 223 0 0 1.9E+02 1 4.5E+03 31526.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 224 224 0 0 3.4E+02 1 2.3E+03 31527.2 240 AFH 225 225 0 0 87 1 2.1E+03 31559 241 AFH 226 226 0 0 2.9E+02 1 2.1E+03 31587.7 242 AFH 227 227 0 0 2.9E+02 1 1.5E+03 31827.8 243 AFH 228 228 0 0 4.2E+02 1 2.3E+03 31848.4 244 AFH 229 229 0 0 5.4E+02 1 7.1E+03 31853.8 245 AFH 230 230 0 0 6.7E+02 1 1.1E+03 31989.1 246 AFH 231 231 0 0 2.1E+02 1 1.2E+03 31993 247 AFH 232 232 0 0 2.9E+02 1 1.7E+03 32039.4 248 AFH 233 233 0 0 3.5E+02 1 1.5E+03 32122.6 249 AFH 234 234 0 0 4.4E+02 1 2.8E+03 32123.6 250 AFH 235 235 0 0 3.1E+02 1 1.9E+03 32129 251 AFH 236 236 0 0 4.4E+02 1 8.3E+03 32146.7 252 AFH 237 237 0 0 5E+02 1 6.7E+02 32161.6 253 AFH 238 238 0 0 5E+02 1 2.9E+03 32269.1 254 AFH 239 239 0 0 4.6E+02 1 1E+03 32276.4 255 AFH 240 240 0 0 4.6E+02 1 1.1E+03 32276.4 256 AFH 241 241 0 0 4.7E+02 1 6.3E+03 32313.8 257 AFH 242 242 0 0 6.3E+02 1 7.9E+02 32339.4 258 AFH 243 243 0 0 2.9E+02 1 1.2E+03 32376.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 244 244 0 0 3.1E+02 1 8.6E+02 32399.9 260 AFH 245 245 0 0 2.7E+02 1 9.4E+02 32414.5 261 AFH 246 246 0 0 2.8E+02 1 1.3E+03 32439.5 262 AFH 247 247 0 0 6.8E+02 1 4.5E+03 32446.2 263 AFH 248 248 0 0 3.5E+02 1 4.6E+02 32489.7 264 AFH 249 249 0 0 3.4E+02 1 1.1E+03 32497.4 265 AFH 250 250 0 0 3.9E+02 1 9.4E+02 32518.7 266 AFH 251 251 0 0 3.3E+02 1 5.9E+03 32540.2 267 AFH 252 252 0 0 6.8E+02 1 4.7E+02 32558.5 268 AFH 253 253 0 0 2.5E+02 1 5.7E+02 32579.2 269 AFH 254 254 0 0 2.2E+02 1 7.2E+02 32579.5 270 AFH 255 255 0 0 2.9E+02 1 3.4E+02 32583.9 271 AFH 256 256 0 0 3E+02 1 4.8E+02 32598.9 272 AFH 257 257 0 0 2.3E+02 1 2.7E+02 32607.9 273 AFH 258 258 0 0 1.6E+02 1 2.8E+02 32612.6 274 AFH 259 259 0 0 1.7E+02 1 1.7E+02 32627.5 275 AFH 260 260 0 0 1.9E+02 1 4.9E+02 32627.9 276 AFH 261 261 0 0 3.3E+02 1 4.1E+02 32632 277 AFH 262 262 0 0 2.2E+02 1 2.2E+02 32649.2 278 AFH 263 263 0 0 29 1 2.3E+02 32663.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 264 264 0 0 3.1E+02 1 3.2E+03 32676.4 280 AFH 265 265 0 0 3.3E+02 1 1E+02 32681.1 281 AFH 266 266 0 0 30 1 1.8E+02 32689.8 282 AFH 267 267 0 0 4.1E+02 1 6.6E+03 32693.2 283 AFH 268 268 0 0 4.3E+02 1 4.9E+02 32694.4 284 AFH 269 269 0 0 2.7E+02 1 1.8E+02 32702.3 285 AFH 270 270 0 0 2.2E+02 1 1E+02 32704.5 286 AFH 271 271 0 0 25 1 1.2E+02 32704.6 287 AFH 272 272 0 0 1.6E+02 1 1.3E+02 32710.6 288 AFH 273 273 0 0 14 1 62 32712.1 289 AFH 274 274 0 0 21 1 75 32721.7 290 AFH 275 275 0 0 15 1 74 32724.7 291 AFH 276 276 0 0 14 1 71 32726.5 292 AFH 277 277 0 0 13 1 34 32727.3 293 AFH 278 278 0 0 3.4E+02 1 6E+02 32736.3 294 AFH 279 279 0 0 3.4E+02 1 73 32738.3 295 AFH 280 280 0 0 1.6E+02 1 81 32739.4 296 AFH 281 281 0 0 19 1 87 32740.2 297 AFH 282 282 0 0 13 1 38 32741 298 AFH 283 283 0 0 85 1 37 32743.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 284 284 0 0 12 1 36 32744 300 AFH 285 285 0 0 2.2E+02 1 31 32744.5 301 AFH 286 286 0 0 2.1E+02 1 17 32745.1 302 AFH 287 287 0 0 13 1 28 32748.4 303 AFH 288 288 0 0 9.5 1 28 32748.6 304 AFH 289 289 0 0 69 1 21 32748.9 305 AFH 290 290 0 0 8.5 1 23 32749.5 306 AFH 291 291 0 0 78 1 11 32749.8 307 AFH 292 292 0 0 1.4E+02 1 2.3E+02 32749.8 308 AFH 293 293 0 0 2.1E+02 1 21 32751.1 309 AFH 294 294 0 0 10 1 31 32751.4 310 AFH 295 295 0 0 6.5 1 15 32751.5 311 AFH 296 296 0 0 6 1 11 32751.8 312 AFH 297 297 0 0 5 1 9.2 32751.8 313 AFH 298 298 0 0 5.2 1 10 32752.3 314 AFH 299 299 0 0 3.5 1 5.6 32752.4 315 AFH 300 300 0 0 79 1 8.4 32752.7 316 AFH 301 301 0 0 6 1 13 32753.4 317 AFH 302 302 0 0 5.7 1 10 32754 318 AFH 303 303 0 0 3.7 1 4.6 32754.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 304 304 0 0 78 1 4.8 32754.9 320 AFH 305 305 0 0 76 1 3.9 32755 321 AFH 306 306 0 0 4.1 1 4.3 32755.3 322 AFH 307 307 0 0 3.9 1 2.7 32755.3 323 AFH 308 308 0 0 3.3E+02 1 3.4 32755.3 324 AFH 309 309 0 0 2.4 1 1.9 32755.6 325 AFH 310 310 0 0 3.6 1 2.6 32755.8 326 AFH 311 311 0 0 3.9 1 2.9 32755.8 327 AFH 312 312 0 0 2.2 1 1.6 32756 328 AFH 313 313 0 0 2.1 1 1.2 32756.1 329 AFH 314 314 0 0 2.3 1 2 32756.3 330 AFH 315 315 0 0 2.2 1 1.5 32756.4 331 AFH 316 316 0 0 2 1 0.83 32756.4 332 AFH 317 317 0 0 1.7 1 0.98 32756.6 333 AFH 318 318 0 0 1.8 1 0.78 32756.6 334 AFH 319 319 0 0 1.8 1 0.71 32756.6 335 AFH 320 320 0 0 1.3 1 0.53 32756.6 336 AFH 321 321 0 0 1.6 1 0.44 32756.7 337 AFH 322 322 0 0 1.6 1 0.63 32756.7 338 AFH 323 323 0 0 0.99 1 0.32 32756.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 324 324 0 0 1.6 1 0.51 32756.8 340 AFH 325 325 0 0 0.89 1 0.26 32756.9 341 AFH 326 326 0 0 0.87 1 0.35 32756.9 342 AFH 327 327 0 0 0.97 1 0.24 32756.9 343 AFH 328 328 0 0 0.84 1 0.19 32756.9 344 AFH 329 329 0 0 62 1 0.17 32756.9 345 AFH 330 330 0 0 0.81 1 0.18 32756.9 346 AFH 331 331 0 0 0.6 1 0.1 32756.9 347 AFH 332 332 0 0 0.67 1 0.096 32757 348 AFH 333 333 0 0 0.77 1 0.12 32757 349 AFH 334 334 0 0 0.66 1 0.12 32757 350 AFH 335 335 0 0 0.46 1 0.063 32757 351 AFH 336 336 0 0 0.5 1 0.077 32757 352 AFH 337 337 0 0 0.41 1 0.066 32757 353 AFH 338 338 0 0 0.39 1 0.052 32757 354 AFH 339 339 0 0 0.38 1 0.037 32757 355 AFH 340 340 0 0 0.41 1 0.049 32757 356 AFH 341 341 0 0 0.29 1 0.037 32757 357 AFH 342 342 0 0 0.32 1 0.024 32757 358 AFH 343 343 0 0 0.38 1 0.031 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 344 344 0 0 0.26 1 0.018 32757 360 AFH 345 345 0 0 0.32 1 0.026 32757 361 AFH 346 346 0 0 0.21 1 0.013 32757 362 AFH 347 347 0 0 0.26 1 0.016 32757 363 AFH 348 348 0 0 0.23 1 0.017 32757 364 AFH 349 349 0 0 0.18 1 0.011 32757 365 AFH 350 350 0 0 0.14 1 0.0079 32757 366 AFH 351 351 0 0 0.22 1 0.018 32757 367 AFH 352 352 0 0 0.15 1 0.0089 32757 368 AFH 353 353 0 0 0.15 1 0.01 32757 369 AFH 354 354 0 0 0.16 1 0.0064 32757 370 AFH 355 355 0 0 0.096 1 0.0048 32757 371 AFH 356 356 0 0 0.14 1 0.0045 32757 372 AFH 357 357 0 0 0.16 1 0.0056 32757 373 AFH 358 358 0 0 0.12 1 0.0036 32757 374 AFH 359 359 0 0 0.099 1 0.0027 32757 375 AFH 360 360 0 0 0.16 1 0.006 32757 376 AFH 361 361 0 0 0.12 1 0.0026 32757 377 AFH 362 362 0 0 0.11 1 0.003 32757 378 AFH 363 363 0 0 0.09 1 0.0017 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 364 364 0 0 0.092 1 0.0016 32757 380 AFH 365 365 0 0 0.08 1 0.002 32757 381 AFH 366 366 0 0 0.075 1 0.0014 32757 382 AFH 367 367 0 0 0.064 1 0.001 32757 383 AFH 368 368 0 0 0.058 1 0.0012 32757 384 AFH 369 369 0 0 0.071 1 0.00094 32757 385 AFH 370 370 0 0 0.052 1 0.00064 32757 386 AFH 371 371 0 0 1.3E+02 1 0.00078 32757 387 AFH 372 372 0 0 1.3E+02 1 0.00081 32757 388 AFH 373 373 0 0 61 1 0.00044 32757 389 AFH 374 374 0 0 0.047 1 0.0005 32757 390 AFH 375 375 0 0 0.045 1 0.00036 32757 391 AFH 376 376 0 0 0.036 1 0.0004 32757 392 AFH 377 377 0 0 0.029 1 0.00036 32757 393 AFH 378 378 0 0 0.028 1 0.00019 32757 394 AFH 379 379 0 0 0.039 1 0.00034 32757 395 AFH 380 380 0 0 0.036 1 0.00023 32757 396 AFH 381 381 0 0 0.03 1 0.00024 32757 397 AFH 382 382 0 0 0.019 1 0.00018 32757 398 AFH 383 383 0 0 0.024 1 0.00013 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 384 384 0 0 0.027 1 0.00015 32757 400 AFH 385 385 0 0 0.021 1 0.0001 32757 401 AFH 386 386 0 0 0.018 1 0.0001 32757 402 AFH 387 387 0 0 0.016 1 8.7E-05 32757 403 AFH 388 388 0 0 0.016 1 6.3E-05 32757 404 AFH 389 389 0 0 0.018 1 7E-05 32757 405 AFH 390 390 0 0 73 1 4.7E-05 32757 406 AFH 391 391 0 0 73 1 5E-05 32757 407 AFH 392 392 0 0 0.013 1 4.1E-05 32757 408 AFH 393 393 0 0 0.011 1 3.8E-05 32757 409 AFH 394 394 0 0 0.011 1 2.4E-05 32757 410 AFH 395 395 0 0 0.013 1 3.2E-05 32757 411 AFH 396 396 0 0 0.0093 1 1.8E-05 32757 412 AFH 397 397 0 0 0.013 1 3.6E-05 32757 413 AFH 398 398 0 0 0.0087 1 2.1E-05 32757 414 AFH 399 399 0 0 0.0074 1 1.6E-05 32757 415 AFH 400 400 0 0 0.0076 1 1.5E-05 32757 416 AFH 401 401 0 0 0.0072 1 1.2E-05 32757 417 AFH 402 402 0 0 0.0069 1 8.4E-06 32757 418 AFH 403 403 0 0 0.0059 1 8.6E-06 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 404 404 0 0 0.0056 1 1.1E-05 32757 420 AFH 405 405 0 0 61 1 8.4E-06 32757 421 AFH 406 406 0 0 0.0047 1 5.6E-06 32757 422 AFH 407 407 0 0 0.0035 1 4.4E-06 32757 423 AFH 408 408 0 0 0.0042 1 4.8E-06 32757 424 AFH 409 409 0 0 61 1 8E-06 32757 425 AFH 410 410 0 0 0.0039 1 3.3E-06 32757 426 AFH 411 411 0 0 61 1 3E-06 32757 427 AFH 412 412 0 0 0.0051 1 5.6E-06 32757 428 AFH 413 413 0 0 0.0029 1 2.4E-06 32757 429 AFH 414 414 0 0 2.2E+02 1 2.6E-06 32757 430 AFH 415 415 0 0 73 1 2.4E-06 32757 431 AFH 416 416 0 0 0.0023 1 1.3E-06 32757 432 AFH 417 417 0 0 0.0027 1 1.9E-06 32757 433 AFH 418 418 0 0 0.0022 1 1.2E-06 32757 434 AFH 419 419 0 0 0.0023 1 1.1E-06 32757 435 AFH 420 420 0 0 0.002 1 1.1E-06 32757 436 AFJ 421 421 0 0 0.0014 0 8.1E-07 32757 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.51_SLay06H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 32757.020181957686873 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 32757.020181957686873 Max constraint (1) : -0 Time used (seconds) : 244.08 Time limit (seconds) : 7200 Iterations used : 436 Iteration limit : -1 Function evaluations : 1076 Gradient evaluations : 422 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.1 % MIP time usage : 98.9 % Optimal/total MIPs : 222/436 NLP solver calls : 437 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay06H.gms(1024) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay06H.gms Stop 09/14/12 14:42:04 elapsed 0:04:04.115 @04 1347626524 ----------------------------- Fr 14. Sep 14:42:04 CEST 2012 ----------------------------- =ready= Linux opt209 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay06M.gms =========== ----------------------------- Fr 14. Sep 14:38:03 CEST 2012 ----------------------------- @03 1347626283 --- Job SLay06M.gms Start 09/14/12 14:38:03 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay06M.gms(362) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- SLay06M.gms(360) 3 Mb --- Generating MIQCP model m --- SLay06M.gms(362) 5 Mb --- 136 rows 103 columns 463 non-zeroes --- 51 nl-code 12 nl-non-zeroes --- 60 discrete-columns --- SLay06M.gms(362) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.52_SLay06M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 463 elements of which 3% are non-linear(NL) included in 136 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 12 from a total of 103 variables: Continuous(43), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.2E+05 NA 1 SAFG 1 1 0 1 3.2E+02 0 0 94576.2 1 FOUND SOLUTION: 94576.2 (NLP) in 1 sec. 2 SAFH 1 1 0 1 2.1E+02 1 1E+06 -524740 3 SAFH 2 2 0 1 3E+02 1 4.9E+05 -294812 4 SAFH 3 3 0 1 3.3E+02 1 3.5E+05 -108708 5 SAFH 4 4 0 1 2.5E+02 1 3.2E+05 -63821.1 6 SAFH 5 5 0 1 1.7E+02 1 1.5E+05 -36804.6 7 SAFH 6 6 0 1 2E+02 1 1.8E+05 7924.8 8 SAFH 7 7 0 1 1.2E+02 1 8.6E+04 47114.7 9 SAFH 8 8 0 1 2.2E+02 1 1E+05 52495.9 10 SAFH 9 9 0 1 1.6E+02 1 6.8E+04 55634.8 11 SAFH 10 10 0 1 1.5E+02 1 5.2E+04 60968.8 12 SAFH 11 11 0 1 1.2E+02 1 3.7E+04 70663.3 13 SAFH 12 12 0 1 1.7E+02 1 4.7E+04 72629.2 14 SAFH 13 13 0 1 1.2E+02 1 2.3E+04 74587.7 15 SAFH 14 14 0 1 1.1E+02 1 2.3E+04 84858.6 16 SAFH 15 15 0 1 85 1 1.6E+04 85851.4 17 SAFH 16 16 0 1 73 1 1.2E+04 87235.8 18 SAFH 17 17 0 1 66 1 1.3E+04 88726.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 60 1 7.1E+03 89462.4 20 SAFH 19 19 0 1 76 1 8.8E+03 90375.6 21 SAFH 20 20 0 1 77 1 9.5E+03 90635 22 SAFH 21 21 0 1 56 1 7.5E+03 90930.5 23 SAFH 22 22 0 1 50 1 4.1E+03 91285.5 24 SAFH 23 23 0 1 45 1 6.3E+03 92039.8 25 SAFH 24 24 0 1 45 1 3.9E+03 92544.5 26 SAFH 25 25 0 1 53 1 5.5E+03 92651.1 27 SAFH 26 26 0 1 44 1 3.1E+03 92787.7 28 SAFH 27 27 0 1 40 1 3.1E+03 92810.5 29 SAFH 28 28 0 1 27 1 1.9E+03 93207.4 30 SAFH 29 29 0 1 30 1 1.8E+03 93364.3 31 SAFH 30 30 0 1 34 1 1.7E+03 93649.7 32 SAFH 31 31 0 1 24 1 1.7E+03 93721.5 33 SAFH 32 32 0 1 22 1 1E+03 93822 34 SAFH 33 33 0 1 20 1 1.1E+03 93923.5 35 SAFH 34 34 0 1 24 1 1.2E+03 93945.4 36 SAFH 35 35 0 1 20 1 1.1E+03 94105.4 37 SAFH 36 36 0 1 13 1 5.1E+02 94143.1 38 SAFH 37 37 0 1 21 1 7.1E+02 94295.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 17 1 5.9E+02 94327 40 SAFH 39 39 0 1 16 1 6E+02 94349.1 41 SAFH 40 40 0 1 13 1 3.9E+02 94350.4 42 SAFH 41 41 0 1 11 1 3.6E+02 94397.3 43 SAFH 42 42 0 1 11 1 3.4E+02 94412.2 44 SAFH 43 43 0 1 13 1 3.3E+02 94436.3 45 SAFH 44 44 0 1 7.1 1 1.9E+02 94437.9 46 SAFH 45 45 0 1 12 1 2.3E+02 94453.7 47 SAFH 46 46 0 1 11 1 2.1E+02 94471.2 48 SAFH 47 47 0 1 7.9 1 1.8E+02 94480.8 49 SAFH 48 48 0 1 8.7 1 1.3E+02 94493.4 50 SAFH 49 49 0 1 6.6 1 1.3E+02 94493.8 51 SAFH 50 50 0 1 5.7 1 91 94504.2 52 SAFH 51 51 0 1 7.4 1 1.1E+02 94523.8 53 SAFH 52 52 0 1 6.6 1 77 94529 54 SAFH 53 53 0 1 6.5 1 78 94535.4 55 SAFH 54 54 0 1 6.5 1 51 94539.9 56 SAFH 55 55 0 1 4.7 1 48 94551.4 57 SAFH 56 56 0 1 5.3 1 42 94552.4 58 SAFH 57 57 0 1 3.8 1 40 94553.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 3.1 1 33 94554.3 60 SAFH 59 59 0 1 3.2 1 23 94558.2 61 SAFH 60 60 0 1 3.3 1 22 94562.9 62 SAFH 61 61 0 1 4 1 25 94566.4 63 SAFH 62 62 0 1 3.1 1 17 94567.2 64 SAFH 63 63 0 1 3.5 1 15 94568.1 65 SAFH 64 64 0 1 2 1 12 94568.5 66 SAFH 65 65 0 1 2 1 12 94569.4 67 SAFH 66 66 0 1 0.94 1 8.8 94569.7 68 SAFH 67 67 0 1 2 1 8 94571.2 69 SAFH 68 68 0 1 2 1 6.6 94572.3 70 SAFH 69 69 0 1 2.1 1 6.5 94572.5 71 SAFH 70 70 0 1 1.9 1 4.8 94573 72 SAFH 71 71 0 1 1.5 1 4.4 94573.6 73 SAFH 72 72 0 1 1.1 1 3.4 94573.9 74 SAFH 73 73 0 1 0.89 1 3.3 94574 75 SAFH 74 74 0 1 1.1 1 2.7 94574.7 76 SAFH 75 75 0 1 1.2 1 2.5 94574.9 77 SAFH 76 76 0 1 1 1 1.7 94574.9 78 SAFH 77 77 0 1 1.2 1 2.4 94575.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 1 1 1.3 94575.3 80 SAFH 79 79 0 1 0.7 1 1.7 94575.6 81 SAFH 80 80 0 1 0.86 1 1.3 94575.6 82 SAFH 81 81 0 1 0.46 1 0.99 94575.7 83 SAFH 82 82 0 1 0.77 1 1 94575.7 84 SAFH 83 83 0 1 0.52 1 0.66 94575.8 85 SAFH 84 84 0 1 0.56 1 0.59 94575.9 86 SAFH 85 85 0 1 0.72 1 0.67 94575.9 87 SAFH 86 86 0 1 0.63 1 0.65 94575.9 88 SAFH 87 87 0 1 0.45 1 0.46 94576 89 SAFH 88 88 0 1 0.48 1 0.41 94576 90 SAFH 89 89 0 1 0.44 1 0.29 94576 91 SAFH 90 90 0 1 0.38 1 0.29 94576.1 92 SAFH 91 91 0 1 0.39 1 0.26 94576.1 93 SAFH 92 92 0 1 0.26 1 0.25 94576.1 94 SAFH 93 93 0 1 0.32 1 0.15 94576.1 95 SAFH 94 94 0 1 0.25 1 0.16 94576.2 96 SAFH 95 95 0 1 0.25 1 0.12 94576.2 97 SAFH 96 96 0 1 0.24 1 0.12 94576.2 98 SAFH 97 97 0 1 0.28 1 0.15 94576.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 0.19 1 0.069 94576.2 100 SAFH 99 99 0 1 0.2 1 0.12 94576.2 101 SAFH 100 100 0 1 0.21 1 0.079 94576.2 102 SAFH 101 101 0 1 0.22 1 0.063 94576.2 103 SAFH 102 102 0 1 0.16 1 0.058 94576.2 104 SAFH 103 103 0 1 0.17 1 0.053 94576.2 105 SAFH 104 104 0 1 0.14 1 0.035 94576.2 106 SAFH 105 105 0 1 0.11 1 0.036 94576.2 107 SAFH 106 106 0 1 0.13 1 0.029 94576.2 108 SAFH 107 107 0 1 0.13 1 0.034 94576.2 109 SAFH 108 108 0 1 0.1 1 0.023 94576.2 110 SAFH 109 109 0 1 0.12 1 0.018 94576.2 111 SAFH 110 110 0 1 0.084 1 0.018 94576.2 112 SAFH 111 111 0 1 0.079 1 0.015 94576.2 113 SAFH 112 112 0 1 0.1 1 0.017 94576.2 114 SAFH 113 113 0 1 0.063 1 0.0087 94576.2 115 SAFH 114 114 0 1 0.087 1 0.012 94576.2 116 SAFH 115 115 0 1 0.078 1 0.0099 94576.2 117 SAFH 116 116 0 1 0.076 1 0.0099 94576.2 118 SAFH 117 117 0 1 0.065 1 0.0058 94576.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 118 118 0 1 0.052 1 0.0081 94576.2 120 SAFH 119 119 0 1 0.078 1 0.0096 94576.2 121 SAFH 120 120 0 1 0.053 1 0.004 94576.2 122 SAFH 121 121 0 1 0.06 1 0.0046 94576.2 123 SAFH 122 122 0 1 0.033 1 0.0063 94576.2 124 SAFH 123 123 0 1 0.049 1 0.004 94576.2 125 SAFH 124 124 0 1 0.049 1 0.0031 94576.2 126 SAFH 125 125 0 1 0.036 1 0.0029 94576.2 127 SAFH 126 126 0 1 0.028 1 0.0019 94576.2 128 SAFH 127 127 0 1 0.047 1 0.0032 94576.2 129 SAFH 128 128 0 1 0.04 1 0.004 94576.2 130 SAFH 129 129 0 1 0.03 1 0.0015 94576.2 131 SAFH 130 130 0 1 0.026 1 0.0017 94576.2 132 SAFH 131 131 0 1 0.021 1 0.0018 94576.2 133 SAFH 132 132 0 1 0.023 1 0.0013 94576.2 134 SAFH 133 133 0 1 0.028 1 0.0011 94576.2 135 SAFH 134 134 0 1 0.021 1 0.00074 94576.2 136 SAFH 135 135 0 1 0.019 1 0.0014 94576.2 137 SAFH 136 136 0 1 0.014 1 0.00073 94576.2 138 SAFH 137 137 0 1 0.013 1 0.00072 94576.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 138 138 0 1 0.02 1 0.00071 94576.2 140 SAFH 139 139 0 1 0.013 1 0.00047 94576.2 141 SAFH 140 140 0 1 0.021 1 0.0006 94576.2 142 SAFH 141 141 0 1 0.014 1 0.00031 94576.2 143 SAFH 142 142 0 1 0.014 1 0.00052 94576.2 144 SAFH 143 143 0 1 0.02 1 0.0007 94576.2 145 SAFH 144 144 0 1 0.011 1 0.00029 94576.2 146 SAFH 145 145 0 1 0.013 1 0.0003 94576.2 147 SAFH 146 146 0 1 0.0091 1 0.00022 94576.2 148 SAFH 147 147 0 1 0.013 1 0.00029 94576.2 149 SAFH 148 148 0 1 0.011 1 0.00019 94576.2 150 SAFH 149 149 0 1 0.0077 1 0.00012 94576.2 151 SAFH 150 150 0 1 0.012 1 0.0002 94576.2 152 SAFH 151 151 0 1 0.011 1 0.00022 94576.2 153 SAFH 152 152 0 1 0.0076 1 9.9E-05 94576.2 154 SAFH 153 153 0 1 0.0088 1 0.0001 94576.2 155 SAFH 154 154 0 1 0.0069 1 0.00013 94576.2 156 SAFH 155 155 0 1 0.0076 1 8.9E-05 94576.2 157 SAFH 156 156 0 1 0.0057 1 5.7E-05 94576.2 158 SAFH 157 157 0 1 0.0067 1 9E-05 94576.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 158 158 0 1 0.0055 1 4.9E-05 94576.2 160 SAFH 159 159 0 1 0.0096 1 0.00013 94576.2 161 SAFH 160 160 0 1 0.0067 1 6.5E-05 94576.2 162 SAFH 161 161 0 1 0.0051 1 5.1E-05 94576.2 163 SAFH 162 162 0 1 0.0051 1 3.8E-05 94576.2 164 SAFH 163 163 0 1 0.0044 1 3.1E-05 94576.2 165 SAFH 164 164 0 1 0.0036 1 3E-05 94576.2 166 SAFH 165 165 0 1 0.0021 1 2.3E-05 94576.2 167 SAFH 166 166 0 1 0.0043 1 2.7E-05 94576.2 168 SAFH 167 167 0 1 0.0032 1 1.5E-05 94576.2 169 SAFH 168 168 0 1 0.004 1 3.1E-05 94576.2 170 SAFH 169 169 0 1 0.0026 1 1.4E-05 94576.2 171 SAFH 170 170 0 1 0.0023 1 1.9E-05 94576.2 172 SAFH 171 171 0 1 0.0032 1 2E-05 94576.2 173 SAFH 172 172 0 1 0.0022 1 9.4E-06 94576.2 174 SAFH 173 173 0 1 0.0026 1 1.3E-05 94576.2 175 SAFH 174 174 0 1 0.0025 1 1.2E-05 94576.2 176 SAFH 175 175 0 1 0.0018 1 7E-06 94576.2 177 SAFH 176 176 0 1 0.0021 1 6.9E-06 94576.2 178 SAFH 177 177 0 1 0.0018 1 7.8E-06 94576.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 178 178 0 1 0.0021 1 7.2E-06 94576.2 180 SAFH 179 179 0 1 0.0015 1 4.3E-06 94576.2 181 SAFH 180 180 0 1 0.0016 1 3.8E-06 94576.2 182 SAFH 181 181 0 1 0.0021 1 7.1E-06 94576.2 183 SAFH 182 182 0 1 0.0016 1 4.6E-06 94576.2 184 SAFH 183 183 0 1 0.0013 1 2.8E-06 94576.2 185 SAFH 184 184 0 1 0.0013 1 4.1E-06 94576.2 186 SAFH 185 185 0 1 0.00074 1 2.2E-06 94576.2 187 SAFH 186 186 0 1 0.0012 1 2.3E-06 94576.2 188 SAFH 187 187 0 1 0.00092 1 2.2E-06 94576.2 189 SAFH 188 188 0 1 0.00081 1 1.8E-06 94576.2 190 SAFH 189 189 0 1 0.00065 1 1.1E-06 94576.2 191 SAFH 190 190 0 1 0.00052 1 1.4E-06 94576.2 192 SAFH 191 191 0 1 0.00084 1 1.1E-06 94576.2 193 SAFJL 192 192 0 1 0.00086 0 9.9E-07 94576.2 194 SAFG 191 191 0 0.5 1.6E+02 0 0 62414.4 194 FOUND SOLUTION: 62414.4 (NLP) in 4 sec. 195 SAFH 191 191 0 0.5 2.2E+02 1 2.3E+05 -53842.5 196 SAFG 192 192 0 0.5 3E+02 0 0 51529.3 196 FOUND SOLUTION: 51529.3 (NLP) in 4 sec. 197 SAFH 192 192 0 0.5 2.1E+02 1 1.6E+05 -40676.8 198 SAFH 193 193 0 0.5 3.7E+02 1 2E+05 -26038.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFG 194 194 0 0.5 3.5E+02 0 0 51138 199 FOUND SOLUTION: 51138 (NLP) in 5 sec. 200 SAFH 194 194 0 0.5 90 1 8.6E+04 -21529.8 201 SAFG 195 195 0 0.3 2.2E+02 0 0 47304.5 201 FOUND SOLUTION: 47304.5 (NLP) in 5 sec. 202 SAFH 195 195 0 0.3 1.5E+02 1 9.9E+04 -8304.43 203 SAFG 196 196 0 0.3 2.2E+02 0 0 43240.2 203 FOUND SOLUTION: 43240.2 (NLP) in 5 sec. 204 SAFH 196 196 0 0.3 1E+02 1 6.3E+04 -2467.53 205 SAFG 197 197 0 0.3 2E+02 0 0 38651.6 205 FOUND SOLUTION: 38651.6 (NLP) in 5 sec. 206 SAFH 197 197 0 0.3 46 1 3.9E+04 4264.85 207 SAFH 198 198 0 0.3 2.2E+02 1 3.8E+04 32063.2 208 SAFH 199 199 0 0.3 1.8E+02 1 5.8E+04 16716.5 209 SAFH 200 200 0 0.3 1.5E+02 1 3.6E+04 18987.8 210 SAFG 201 201 0 0.3 1E+02 0 0 35783.4 210 FOUND SOLUTION: 35783.4 (NLP) in 6 sec. 211 SAFH 201 201 0 0.3 62 1 2.8E+04 20770.1 212 SAFG 202 202 0 0.3 73 0 0 35259.4 212 FOUND SOLUTION: 35259.4 (NLP) in 7 sec. 213 SAFH 202 202 0 0.3 39 1 1.8E+04 21068.9 214 SAFG 203 203 0 0.3 1.1E+02 0 0 34876.2 214 FOUND SOLUTION: 34876.2 (NLP) in 7 sec. 215 SAFH 203 203 0 0.3 47 1 2.3E+04 18939.8 216 SAFH 204 204 0 0.3 1.4E+02 1 3E+04 31376.5 217 SAFH 205 205 0 0.3 59 1 2.4E+04 33161.1 218 SAFH 206 206 0 0.3 1.6E+02 1 2.9E+04 23159.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 207 207 0 0.3 1.6E+02 1 2.2E+04 25895.9 220 SAFH 208 208 0 0.3 1.2E+02 1 1.5E+04 25837.8 221 SAFH 209 209 0 0.3 1.4E+02 1 1.7E+04 23080.6 222 SAFH 210 210 0 0.3 1.7E+02 1 3.3E+04 29122.2 223 SAFH 211 211 0 0.3 1.1E+02 1 1.1E+04 26626.8 224 SAFH 212 212 0 0.3 1.4E+02 1 1.8E+04 29728.1 225 SAFH 213 213 0 0.3 64 1 1.4E+04 36143 226 SAFH 214 214 0 0.3 86 1 1.6E+04 31346 227 SAFH 215 215 0 0.3 55 1 1.1E+04 31520.1 228 SAFH 216 216 0 0.3 1.2E+02 1 1.5E+04 37374.4 229 SAFH 217 217 0 0.3 1.2E+02 1 1.1E+04 27753.7 230 SAFH 218 218 0 0.3 1.1E+02 1 1.1E+04 35792.3 231 SAFH 219 219 0 0.3 64 1 1.1E+04 36680.4 232 SAFH 220 220 0 0.3 65 1 6.1E+03 36825.2 233 SAFH 221 221 0 0.3 73 1 7.3E+03 37372.9 234 SAFH 222 222 0 0.3 99 1 7.3E+03 30708.7 235 SAFH 223 223 0 0.3 1.2E+02 1 2E+04 32296.9 236 SAFH 224 224 0 0.3 1.5E+02 1 1.4E+04 31120.4 237 SAFH 225 225 0 0.3 72 1 9.8E+03 29232.7 238 SAFH 226 226 0 0.3 53 1 5.8E+03 35529.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 227 227 0 0.3 78 1 1.2E+04 32160.9 240 SAFH 228 228 0 0.3 1E+02 1 1.9E+04 30001.5 241 SAFH 229 229 0 0.3 1.1E+02 1 4.9E+03 33539.3 242 SAFH 230 230 0 0.3 1E+02 1 8.9E+03 36107.3 243 SAFH 231 231 0 0.3 1.2E+02 1 1.2E+04 29159.2 244 SAFH 232 232 0 0.3 82 1 9.1E+03 29364.6 245 SAFH 233 233 0 0.3 1.2E+02 1 9.2E+03 31113.9 246 SAFH 234 234 0 0.3 1.2E+02 1 1E+04 31169.5 247 SAFH 235 235 0 0.3 83 1 5.6E+03 30717.7 248 SAFH 236 236 0 0.3 1E+02 1 7.8E+03 29882.4 249 SAFG 237 237 0 0.3 48 0 0 34303.4 249 FOUND SOLUTION: 34303.4 (NLP) in 10 sec. 250 SAFH 237 237 0 0.3 20 1 7.2E+03 30246.2 251 SAFH 238 238 0 0.3 1.3E+02 1 1.1E+04 34151.8 252 SAFH 239 239 0 0.3 1.3E+02 1 3.7E+03 34950.9 253 SAFH 240 240 0 0.3 1.4E+02 1 7.6E+03 31448.5 254 SAFH 241 241 0 0.3 70 1 6E+03 31725.9 255 SAFH 242 242 0 0.3 90 1 7.7E+03 32454.9 256 SAFH 243 243 0 0.3 57 1 1.1E+04 32929.7 257 SAFH 244 244 0 0.3 52 1 5.1E+03 30847.4 258 SAFH 245 245 0 0.3 1.1E+02 1 8.3E+03 35530.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 246 246 0 0.3 36 1 5.9E+03 36447.6 260 SAFH 247 247 0 0.3 1.1E+02 1 7.3E+03 37119.7 261 SAFG 248 248 0 0.3 90 0 0 32852.7 261 FOUND SOLUTION: 32852.7 (NLP) in 12 sec. 262 SAFH 248 248 0 0.3 14 1 4E+03 29159 263 SAFH 249 249 0 0.3 97 1 1.1E+04 37946.7 264 SAFH 250 250 0 0.3 83 1 3.4E+03 33707.3 265 SAFH 251 251 0 0.3 79 1 4.5E+03 37134.7 266 SAFH 252 252 0 0.3 43 1 3.9E+03 38340.9 267 SAFH 253 253 0 0.3 36 1 1.8E+03 39391.6 268 SAFH 254 254 0 0.3 34 1 2.8E+03 39583.7 269 SAFH 255 255 0 0.3 33 1 1.6E+03 39653.6 270 SAFH 256 256 0 0.3 25 1 1.3E+03 39742.9 271 SAFH 257 257 0 0.3 26 1 8.2E+02 39956.4 272 SAFH 258 258 0 0.3 15 1 6.7E+02 40069.3 273 SAFH 259 259 0 0.3 9 1 8.4E+02 40335.7 274 SAFH 260 260 0 0.3 9.2 1 3.5E+02 40359.4 275 SAFH 261 261 0 0.3 8 1 3.7E+02 40390.7 276 SAFH 262 262 0 0.3 6.7 1 3.2E+02 40404.5 277 SAFH 263 263 0 0.3 10 1 1.7E+02 40420.2 278 SAFH 264 264 0 0.3 12 1 1.7E+02 40541.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 265 265 0 0.3 7.1 1 1.5E+02 40544.2 280 SAFH 266 266 0 0.3 5.4 1 82 40552 281 SAFH 267 267 0 0.3 7.3 1 80 40558.7 282 SAFH 268 268 0 0.3 5 1 73 40566.1 283 SAFH 269 269 0 0.3 2.8 1 39 40566.6 284 SAFH 270 270 0 0.3 3.2 1 38 40567.7 285 SAFH 271 271 0 0.3 3.1 1 44 40569.1 286 SAFH 272 272 0 0.3 2.5 1 21 40572.1 287 SAFH 273 273 0 0.3 3.7 1 21 40574.7 288 SAFH 274 274 0 0.3 2.4 1 15 40576.9 289 SAFH 275 275 0 0.3 1.8 1 11 40578.9 290 SAFH 276 276 0 0.3 1.5 1 7.7 40579.3 291 SAFH 277 277 0 0.3 1.6 1 7.9 40582.1 292 SAFH 278 278 0 0.3 1.6 1 4.2 40583.3 293 SAFH 279 279 0 0.3 0.9 1 4.2 40583.5 294 SAFH 280 280 0 0.3 1.3 1 3.1 40583.8 295 SAFH 281 281 0 0.3 1.2 1 2.1 40584.4 296 SAFH 282 282 0 0.3 0.9 1 1.6 40584.6 297 SAFH 283 283 0 0.3 0.81 1 1.5 40585.1 298 SAFH 284 284 0 0.3 0.4 1 0.83 40585.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 285 285 0 0.3 0.59 1 0.82 40585.4 300 SAFH 286 286 0 0.3 0.27 1 0.61 40585.4 301 SAFH 287 287 0 0.3 0.35 1 0.45 40585.5 302 SAFH 288 288 0 0.3 0.37 1 0.29 40585.6 303 SAFH 289 289 0 0.3 0.18 1 0.35 40585.7 304 SAFH 290 290 0 0.3 0.21 1 0.17 40585.7 305 SAFH 291 291 0 0.3 0.34 1 0.18 40585.8 306 SAFH 292 292 0 0.3 0.26 1 0.13 40585.8 307 SAFH 293 293 0 0.3 0.16 1 0.08 40585.8 308 SAFH 294 294 0 0.3 0.18 1 0.082 40585.8 309 SAFH 295 295 0 0.3 0.2 1 0.057 40585.8 310 SAFH 296 296 0 0.3 0.2 1 0.066 40585.8 311 SAFH 297 297 0 0.3 0.12 1 0.028 40585.8 312 SAFH 298 298 0 0.3 0.11 1 0.034 40585.8 313 SAFH 299 299 0 0.3 0.078 1 0.024 40585.8 314 SAFH 300 300 0 0.3 0.079 1 0.015 40585.8 315 SAFH 301 301 0 0.3 0.095 1 0.013 40585.8 316 SAFH 302 302 0 0.3 0.078 1 0.0094 40585.8 317 SAFH 303 303 0 0.3 0.036 1 0.0095 40585.8 318 SAFH 304 304 0 0.3 0.04 1 0.0046 40585.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 305 305 0 0.3 0.078 1 0.0096 40585.8 320 SAFH 306 306 0 0.3 0.048 1 0.0039 40585.8 321 SAFH 307 307 0 0.3 0.032 1 0.0054 40585.8 322 SAFH 308 308 0 0.3 0.033 1 0.0025 40585.8 323 SAFH 309 309 0 0.3 0.042 1 0.0023 40585.8 324 SAFH 310 310 0 0.3 0.028 1 0.0015 40585.8 325 SAFH 311 311 0 0.3 0.015 1 0.0012 40585.8 326 SAFH 312 312 0 0.3 0.0099 1 0.00086 40585.8 327 SAFH 313 313 0 0.3 0.02 1 0.00082 40585.8 328 SAFH 314 314 0 0.3 0.018 1 0.00044 40585.8 329 SAFH 315 315 0 0.3 0.017 1 0.00052 40585.8 330 SAFH 316 316 0 0.3 0.0058 1 0.00031 40585.8 331 SAFH 317 317 0 0.3 0.014 1 0.00028 40585.8 332 SAFH 318 318 0 0.3 0.0091 1 0.00017 40585.8 333 SAFH 319 319 0 0.3 0.0071 1 0.00015 40585.8 334 SAFH 320 320 0 0.3 0.0053 1 0.00011 40585.8 335 SAFH 321 321 0 0.3 0.0058 1 8.2E-05 40585.8 336 SAFH 322 322 0 0.3 0.0064 1 5.7E-05 40585.8 337 SAFH 323 323 0 0.3 0.0037 1 6.7E-05 40585.8 338 SAFH 324 324 0 0.3 0.0031 1 3.1E-05 40585.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 325 325 0 0.3 0.0024 1 4.1E-05 40585.8 340 SAFH 326 326 0 0.3 0.003 1 2.4E-05 40585.8 341 SAFH 327 327 0 0.3 0.0028 1 2.2E-05 40585.8 342 SAFH 328 328 0 0.3 0.0028 1 1.3E-05 40585.8 343 SAFH 329 329 0 0.3 0.0023 1 1.1E-05 40585.8 344 SAFH 330 330 0 0.3 0.0015 1 9.3E-06 40585.8 345 SAFH 331 331 0 0.3 0.0016 1 7E-06 40585.8 346 SAFH 332 332 0 0.3 0.0013 1 4.1E-06 40585.8 347 SAFH 333 333 0 0.3 0.0013 1 5.5E-06 40585.8 348 SAFH 334 334 0 0.3 0.0013 1 3.5E-06 40585.8 349 SAFH 335 335 0 0.3 0.0016 1 5.3E-06 40585.8 350 SAFH 336 336 0 0.3 0.0012 1 2E-06 40585.8 351 SAFH 337 337 0 0.3 0.0013 1 2.2E-06 40585.8 352 SAFH 338 338 0 0.3 0.00087 1 1.4E-06 40585.8 353 SAFH 339 339 0 0.3 0.00028 1 1E-06 40585.8 354 SAFJ 340 340 0 0.3 0.00067 0 8.2E-07 40585.8 355 SAFJ 340 340 0 0.2 0 0 8.2E-07 40585.8 356 SAFJ 340 340 0 0.1 0 0 8.2E-07 40585.8 357 AFH 340 340 0 0 1.1E+02 1 5E+03 30248.5 358 AFH 341 341 0 0 65 1 5.6E+03 30887.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 342 342 0 0 91 1 5.6E+03 30946 360 AFH 343 343 0 0 75 1 3.5E+03 30976.7 361 AFH 344 344 0 0 59 1 3.3E+03 31087 362 AFH 345 345 0 0 35 1 2.4E+03 31135.8 363 AFH 346 346 0 0 66 1 3.8E+03 31259.8 364 AFH 347 347 0 0 1E+02 1 9.4E+03 31343.9 365 AFH 348 348 0 0 82 1 5.3E+03 31437.4 366 AFH 349 349 0 0 67 1 2E+03 31455.9 367 AFH 350 350 0 0 75 1 3.5E+03 31479.4 368 AFH 351 351 0 0 68 1 3E+03 31588.1 369 AFG 352 352 0 0 45 0 0 32757 369 FOUND SOLUTION: 32757 (NLP) in 33 sec. 370 AFH 352 352 0 0 15 1 1.8E+03 31611.6 371 AFH 353 353 0 0 65 1 1.8E+03 31624 372 AFH 354 354 0 0 51 1 2.2E+03 31804.5 373 AFH 355 355 0 0 95 1 3.6E+03 31892.2 374 AFH 356 356 0 0 89 1 2.6E+03 31947.7 375 AFH 357 357 0 0 59 1 2.6E+03 31957.5 376 AFH 358 358 0 0 53 1 1.5E+03 32026.3 377 AFH 359 359 0 0 44 1 1.3E+03 32041.3 378 AFH 360 360 0 0 53 1 1.6E+03 32056.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 361 361 0 0 47 1 1.3E+03 32138.7 380 AFH 362 362 0 0 44 1 1.2E+03 32140.2 381 AFH 363 363 0 0 44 1 7.7E+02 32143.5 382 AFH 364 364 0 0 28 1 8.2E+02 32260.4 383 AFH 365 365 0 0 42 1 1.2E+03 32265.4 384 AFH 366 366 0 0 65 1 1.3E+03 32297.1 385 AFH 367 367 0 0 17 1 9.2E+02 32300.1 386 AFH 368 368 0 0 53 1 7.3E+02 32339 387 AFH 369 369 0 0 81 1 3.2E+03 32372.8 388 AFH 370 370 0 0 64 1 1.2E+03 32400.5 389 AFH 371 371 0 0 71 1 4.4E+03 32418.7 390 AFH 372 372 0 0 75 1 1E+03 32433.8 391 AFH 373 373 0 0 62 1 8.3E+02 32452.2 392 AFH 374 374 0 0 45 1 4.6E+02 32459.5 393 AFH 375 375 0 0 96 1 5.5E+03 32464.6 394 AFH 376 376 0 0 1E+02 1 1.1E+03 32477.8 395 AFH 377 377 0 0 22 1 5E+02 32501.4 396 AFH 378 378 0 0 17 1 4.7E+02 32509.1 397 AFH 379 379 0 0 73 1 5.3E+03 32509.8 398 AFH 380 380 0 0 74 1 3.7E+02 32526.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 381 381 0 0 32 1 7.7E+02 32537.2 400 AFH 382 382 0 0 37 1 2.3E+02 32562.1 401 AFH 383 383 0 0 44 1 8.6E+02 32582.5 402 AFH 384 384 0 0 18 1 6.5E+02 32613 403 AFH 385 385 0 0 51 1 4.3E+02 32618.5 404 AFH 386 386 0 0 61 1 4.1E+02 32624.8 405 AFH 387 387 0 0 34 1 4.1E+02 32627 406 AFH 388 388 0 0 17 1 2.1E+02 32635.4 407 AFH 389 389 0 0 68 1 1.5E+03 32651.6 408 AFH 390 390 0 0 53 1 5.1E+02 32656.1 409 AFH 391 391 0 0 16 1 2.1E+02 32663.1 410 AFH 392 392 0 0 15 1 2.9E+02 32671.3 411 AFH 393 393 0 0 74 1 2.1E+03 32673.8 412 AFH 394 394 0 0 75 1 1.5E+02 32677.9 413 AFH 395 395 0 0 11 1 1.4E+02 32686.2 414 AFH 396 396 0 0 25 1 4.8E+02 32689.4 415 AFH 397 397 0 0 27 1 1E+02 32692.4 416 AFH 398 398 0 0 11 1 1.4E+02 32693.5 417 AFH 399 399 0 0 3.4 1 83 32699.7 418 AFH 400 400 0 0 8.7 1 81 32706.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 401 401 0 0 7.8 1 56 32724.6 420 AFH 402 402 0 0 9.1 1 67 32725.1 421 AFH 403 403 0 0 7 1 45 32725.3 422 AFH 404 404 0 0 5.4 1 42 32726 423 AFH 405 405 0 0 29 1 3.8E+02 32733.7 424 AFH 406 406 0 0 35 1 42 32740.3 425 AFH 407 407 0 0 6.4 1 29 32740.7 426 AFH 408 408 0 0 5.1 1 30 32740.8 427 AFH 409 409 0 0 6.7 1 20 32742.8 428 AFH 410 410 0 0 9.8 1 22 32744.9 429 AFH 411 411 0 0 3.4 1 15 32746.1 430 AFH 412 412 0 0 2.5 1 19 32747.6 431 AFH 413 413 0 0 3.6 1 16 32749.7 432 AFH 414 414 0 0 5 1 9.8 32750.3 433 AFH 415 415 0 0 2.5 1 11 32750.8 434 AFH 416 416 0 0 2.6 1 8.3 32752.2 435 AFH 417 417 0 0 5.2 1 9.2 32752.6 436 AFH 418 418 0 0 2.2 1 5.7 32752.8 437 AFH 419 419 0 0 2.3 1 6.1 32753.2 438 AFH 420 420 0 0 1.9 1 5.2 32754.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 421 421 0 0 1.7 1 4.6 32754.6 440 AFH 422 422 0 0 2 1 3.3 32754.7 441 AFH 423 423 0 0 1.5 1 3.2 32755.1 442 AFH 424 424 0 0 1.6 1 3 32755.3 443 AFH 425 425 0 0 1.3 1 2.5 32755.6 444 AFH 426 426 0 0 1.3 1 2.1 32755.7 445 AFH 427 427 0 0 1.2 1 2 32755.8 446 AFH 428 428 0 0 0.9 1 1.2 32755.9 447 AFH 429 429 0 0 1.1 1 1.3 32756.5 448 AFH 430 430 0 0 1 1 1.2 32756.5 449 AFH 431 431 0 0 1.1 1 1.2 32756.6 450 AFH 432 432 0 0 0.75 1 0.7 32756.6 451 AFH 433 433 0 0 0.85 1 0.81 32756.7 452 AFH 434 434 0 0 0.52 1 0.65 32756.7 453 AFH 435 435 0 0 0.7 1 0.59 32756.7 454 AFH 436 436 0 0 0.79 1 0.88 32756.8 455 AFH 437 437 0 0 0.59 1 0.36 32756.8 456 AFH 438 438 0 0 0.54 1 0.41 32756.8 457 AFH 439 439 0 0 0.44 1 0.33 32756.8 458 AFH 440 440 0 0 0.45 1 0.36 32756.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 441 441 0 0 0.38 1 0.26 32756.9 460 AFH 442 442 0 0 0.39 1 0.21 32756.9 461 AFH 443 443 0 0 0.36 1 0.17 32756.9 462 AFH 444 444 0 0 0.32 1 0.19 32756.9 463 AFH 445 445 0 0 0.39 1 0.17 32756.9 464 AFH 446 446 0 0 0.26 1 0.11 32757 465 AFH 447 447 0 0 0.22 1 0.1 32757 466 AFH 448 448 0 0 0.32 1 0.1 32757 467 AFH 449 449 0 0 6.3 1 0.089 32757 468 AFH 450 450 0 0 0.24 1 0.066 32757 469 AFH 451 451 0 0 0.24 1 0.056 32757 470 AFH 452 452 0 0 6.2 1 0.054 32757 471 AFH 453 453 0 0 2.2 1 0.051 32757 472 AFH 454 454 0 0 2.2 1 0.036 32757 473 AFH 455 455 0 0 0.22 1 0.037 32757 474 AFH 456 456 0 0 0.14 1 0.025 32757 475 AFH 457 457 0 0 0.14 1 0.025 32757 476 AFH 458 458 0 0 0.13 1 0.022 32757 477 AFH 459 459 0 0 0.18 1 0.035 32757 478 AFH 460 460 0 0 0.14 1 0.023 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 461 461 0 0 0.11 1 0.012 32757 480 AFH 462 462 0 0 0.12 1 0.017 32757 481 AFH 463 463 0 0 0.12 1 0.016 32757 482 AFH 464 464 0 0 0.1 1 0.013 32757 483 AFH 465 465 0 0 0.073 1 0.0086 32757 484 AFH 466 466 0 0 0.063 1 0.011 32757 485 AFH 467 467 0 0 0.068 1 0.007 32757 486 AFH 468 468 0 0 4.1 1 0.0071 32757 487 AFH 469 469 0 0 0.067 1 0.0058 32757 488 AFH 470 470 0 0 4.1 1 0.0051 32757 489 AFH 471 471 0 0 0.055 1 0.0043 32757 490 AFH 472 472 0 0 0.035 1 0.003 32757 491 AFH 473 473 0 0 0.071 1 0.0057 32757 492 AFH 474 474 0 0 0.048 1 0.0027 32757 493 AFH 475 475 0 0 0.059 1 0.0034 32757 494 AFH 476 476 0 0 0.042 1 0.0025 32757 495 AFH 477 477 0 0 0.035 1 0.0017 32757 496 AFH 478 478 0 0 0.036 1 0.0019 32757 497 AFH 479 479 0 0 0.035 1 0.0014 32757 498 AFH 480 480 0 0 0.021 1 0.0013 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 481 481 0 0 0.043 1 0.0018 32757 500 AFH 482 482 0 0 0.024 1 0.00079 32757 501 AFH 483 483 0 0 0.03 1 0.001 32757 502 AFH 484 484 0 0 4 1 0.0007 32757 503 AFH 485 485 0 0 4 1 0.001 32757 504 AFH 486 486 0 0 0.018 1 0.0005 32757 505 AFH 487 487 0 0 0.026 1 0.00076 32757 506 AFH 488 488 0 0 0.013 1 0.0005 32757 507 AFH 489 489 0 0 2 1 0.00041 32757 508 AFH 490 490 0 0 0.019 1 0.00034 32757 509 AFH 491 491 0 0 0.015 1 0.00035 32757 510 AFH 492 492 0 0 2 1 0.00022 32757 511 AFH 493 493 0 0 0.015 1 0.00047 32757 512 AFH 494 494 0 0 0.0096 1 0.00019 32757 513 AFH 495 495 0 0 0.012 1 0.00025 32757 514 AFH 496 496 0 0 0.012 1 0.00016 32757 515 AFH 497 497 0 0 0.013 1 0.00016 32757 516 AFH 498 498 0 0 0.0097 1 0.00011 32757 517 AFH 499 499 0 0 0.0059 1 0.00011 32757 518 AFH 500 500 0 0 0.0079 1 8.7E-05 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 501 501 0 0 4 1 8.3E-05 32757 520 AFH 502 502 0 0 4 1 8.1E-05 32757 521 AFH 503 503 0 0 4 1 5.5E-05 32757 522 AFH 504 504 0 0 4 1 4.4E-05 32757 523 AFH 505 505 0 0 0.007 1 6.5E-05 32757 524 AFH 506 506 0 0 0.0039 1 4E-05 32757 525 AFH 507 507 0 0 4 1 4.2E-05 32757 526 AFH 508 508 0 0 4 1 2.9E-05 32757 527 AFH 509 509 0 0 4 1 2.6E-05 32757 528 AFH 510 510 0 0 4 1 2E-05 32757 529 AFH 511 511 0 0 4 1 1.9E-05 32757 530 AFH 512 512 0 0 4 1 1.7E-05 32757 531 AFH 513 513 0 0 0.0031 1 1.8E-05 32757 532 AFH 514 514 0 0 0.0025 1 9.1E-06 32757 533 AFH 515 515 0 0 0.004 1 1.7E-05 32757 534 AFH 516 516 0 0 0.0024 1 9.3E-06 32757 535 AFH 517 517 0 0 0.0025 1 9.7E-06 32757 536 AFH 518 518 0 0 0.0031 1 1.1E-05 32757 537 AFH 519 519 0 0 0.0021 1 8.5E-06 32757 538 AFH 520 520 0 0 0.0016 1 5.2E-06 32757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 521 521 0 0 0.002 1 5.6E-06 32757 540 AFH 522 522 0 0 0.0021 1 6.2E-06 32757 541 AFH 523 523 0 0 0.0013 1 3.6E-06 32757 542 AFH 524 524 0 0 0.002 1 3.3E-06 32757 543 AFH 525 525 0 0 0.002 1 4.7E-06 32757 544 AFH 526 526 0 0 0.0014 1 2.4E-06 32757 545 AFH 527 527 0 0 0.00097 1 3.1E-06 32757 546 AFH 528 528 0 0 0.0017 1 3.6E-06 32757 547 AFH 529 529 0 0 0.0011 1 1.5E-06 32757 548 AFH 530 530 0 0 0.0012 1 1.8E-06 32757 549 AFH 531 531 0 0 0.0012 1 1.9E-06 32757 550 AFH 532 532 0 0 0.0008 1 2.3E-06 32757 551 AFJ 533 533 0 0 0.00089 0 9.7E-07 32757 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.52_SLay06M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 32757.020181957639579 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 32757.020181957639579 Max constraint (1) : -0 Time used (seconds) : 157.29 Time limit (seconds) : 7200 Iterations used : 551 Iteration limit : -1 Function evaluations : 1525 Gradient evaluations : 534 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.3 % MIP time usage : 98.7 % Optimal/total MIPs : 195/551 NLP solver calls : 552 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay06M.gms(362) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay06M.gms Stop 09/14/12 14:40:40 elapsed 0:02:37.327 @04 1347626440 ----------------------------- Fr 14. Sep 14:40:40 CEST 2012 ----------------------------- =ready= Linux opt221 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay07H.gms =========== ----------------------------- Fr 14. Sep 14:38:04 CEST 2012 ----------------------------- @03 1347626284 --- Job SLay07H.gms Start 09/14/12 14:38:04 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay07H.gms(1412) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- SLay07H.gms(1410) 3 Mb --- Generating MIQCP model m --- SLay07H.gms(1412) 5 Mb --- 610 rows 477 columns 1,737 non-zeroes --- 59 nl-code 14 nl-non-zeroes --- 84 discrete-columns --- SLay07H.gms(1412) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.53_SLay07H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1737 elements of which 1% are non-linear(NL) included in 610 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 14 from a total of 477 variables: Continuous(393), Binary(84), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=101 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 4.1E+05 NA 1 SAFG 1 1 0 1 1.7E+03 0 0 96289.9 1 FOUND SOLUTION: 96289.9 (NLP) in 1 sec. 2 SAFH 1 1 0 1 1.6E+03 1 2.1E+06 -1.17888E+06 3 SAFH 2 2 0 1 1.6E+03 1 9.7E+05 -593791 4 SAFH 3 3 0 1 1.6E+03 1 8.3E+05 -398691 5 SAFH 4 4 0 1 8.6E+02 1 5.9E+05 -249608 6 SAFH 5 5 0 1 8.8E+02 1 3.4E+05 -168388 7 SAFH 6 6 0 1 9.3E+02 1 3.3E+05 -106922 8 SAFH 7 7 0 1 8.4E+02 1 2E+05 -28931.9 9 SAFH 8 8 0 1 5.5E+02 1 1.1E+05 852.037 10 SAFH 9 9 0 1 8.6E+02 1 1.8E+05 42782.6 11 SAFH 10 10 0 1 4E+02 1 6.3E+04 56129.2 12 SAFH 11 11 0 1 3.8E+02 1 4.8E+04 76135.7 13 SAFG 12 12 0 1 2.2E+02 0 0 96289.9 13 FOUND SOLUTION: 96289.9 (NLP) in 1 sec. 14 SAFH 12 12 0 1 94 1 2.1E+04 79258.8 15 SAFH 13 13 0 1 3.1E+02 1 3.9E+04 82212.4 16 SAFH 14 14 0 1 1.7E+02 1 2.7E+04 84175.9 17 SAFH 15 15 0 1 2.5E+02 1 1.9E+04 86635.7 18 SAFH 16 16 0 1 2.3E+02 1 1.2E+04 88482.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 17 17 0 1 1.9E+02 1 8.1E+03 91574.4 20 SAFH 18 18 0 1 1.8E+02 1 1E+04 91818.5 21 SAFH 19 19 0 1 1.4E+02 1 9E+03 92184.3 22 SAFH 20 20 0 1 1.1E+02 1 4.3E+03 92487.2 23 SAFH 21 21 0 1 1.7E+02 1 6.5E+03 93505.5 24 SAFH 22 22 0 1 1.2E+02 1 7.9E+03 94173.9 25 SAFH 23 23 0 1 96 1 3.3E+03 94535.7 26 SAFH 24 24 0 1 1.2E+02 1 2.7E+03 95016.6 27 SAFH 25 25 0 1 87 1 2E+03 95134.7 28 SAFH 26 26 0 1 76 1 2.1E+03 95268.3 29 SAFH 27 27 0 1 57 1 1.1E+03 95396.5 30 SAFH 28 28 0 1 95 1 2.2E+03 95691.3 31 SAFH 29 29 0 1 73 1 1E+03 95808.6 32 SAFH 30 30 0 1 62 1 8.6E+02 95842 33 SAFH 31 31 0 1 51 1 5.3E+02 95931.1 34 SAFH 32 32 0 1 36 1 5.4E+02 95979.9 35 SAFH 33 33 0 1 43 1 5.9E+02 95987.8 36 SAFH 34 34 0 1 31 1 2.8E+02 96060.4 37 SAFH 35 35 0 1 32 1 3.3E+02 96110.9 38 SAFH 36 36 0 1 35 1 2.5E+02 96166.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 37 37 0 1 25 1 1.4E+02 96184 40 SAFH 38 38 0 1 25 1 1.6E+02 96217.6 41 SAFH 39 39 0 1 21 1 1.3E+02 96222 42 SAFH 40 40 0 1 20 1 1.7E+02 96232.5 43 SAFH 41 41 0 1 22 1 95 96235.8 44 SAFH 42 42 0 1 18 1 67 96240.1 45 SAFH 43 43 0 1 18 1 60 96247.9 46 SAFH 44 44 0 1 14 1 82 96260 47 SAFH 45 45 0 1 12 1 42 96261.8 48 SAFH 46 46 0 1 9.6 1 38 96270 49 SAFH 47 47 0 1 11 1 37 96271.9 50 SAFH 48 48 0 1 9.6 1 21 96272.3 51 SAFH 49 49 0 1 7.5 1 24 96275.2 52 SAFH 50 50 0 1 13 1 37 96281.6 53 SAFH 51 51 0 1 8.6 1 15 96282.4 54 SAFH 52 52 0 1 7.8 1 15 96283 55 SAFH 53 53 0 1 7.5 1 15 96283.1 56 SAFH 54 54 0 1 5.3 1 7.9 96283.4 57 SAFH 55 55 0 1 5.6 1 11 96284.7 58 SAFH 56 56 0 1 6.6 1 13 96286.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 57 57 0 1 7.1 1 13 96286.5 60 SAFH 58 58 0 1 3.7 1 6.3 96286.6 61 SAFH 59 59 0 1 5 1 6.9 96286.8 62 SAFH 60 60 0 1 3.1 1 5.1 96286.9 63 SAFH 61 61 0 1 3.8 1 3.9 96287.1 64 SAFH 62 62 0 1 3.2 1 2.9 96287.9 65 SAFH 63 63 0 1 3.9 1 4.3 96288.2 66 SAFH 64 64 0 1 2.7 1 2 96288.4 67 SAFH 65 65 0 1 3.3 1 2.6 96288.6 68 SAFH 66 66 0 1 2.6 1 2.1 96288.8 69 SAFH 67 67 0 1 2.4 1 1.1 96288.9 70 SAFH 68 68 0 1 1.7 1 1.2 96289.4 71 SAFH 69 69 0 1 1.9 1 1 96289.5 72 SAFH 70 70 0 1 2.4 1 1.2 96289.5 73 SAFH 71 71 0 1 1.3 1 0.53 96289.5 74 SAFH 72 72 0 1 2.1 1 0.8 96289.5 75 SAFH 73 73 0 1 1.2 1 0.58 96289.6 76 SAFH 74 74 0 1 1 1 0.41 96289.6 77 SAFH 75 75 0 1 1.4 1 0.43 96289.6 78 SAFH 76 76 0 1 1.2 1 0.27 96289.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 77 77 0 1 0.72 1 0.23 96289.7 80 SAFH 78 78 0 1 0.78 1 0.23 96289.8 81 SAFH 79 79 0 1 1 1 0.22 96289.8 82 SAFH 80 80 0 1 0.8 1 0.15 96289.8 83 SAFH 81 81 0 1 0.71 1 0.099 96289.8 84 SAFH 82 82 0 1 0.66 1 0.11 96289.8 85 SAFH 83 83 0 1 0.68 1 0.14 96289.8 86 SAFH 84 84 0 1 0.46 1 0.066 96289.8 87 SAFH 85 85 0 1 0.52 1 0.072 96289.8 88 SAFH 86 86 0 1 0.41 1 0.053 96289.8 89 SAFH 87 87 0 1 0.37 1 0.041 96289.8 90 SAFH 88 88 0 1 0.33 1 0.039 96289.8 91 SAFH 89 89 0 1 0.3 1 0.026 96289.8 92 SAFH 90 90 0 1 0.28 1 0.025 96289.8 93 SAFH 91 91 0 1 0.33 1 0.028 96289.9 94 SAFH 92 92 0 1 0.25 1 0.013 96289.9 95 SAFH 93 93 0 1 0.29 1 0.023 96289.9 96 SAFH 94 94 0 1 0.2 1 0.014 96289.9 97 SAFH 95 95 0 1 0.23 1 0.01 96289.9 98 SAFH 96 96 0 1 0.18 1 0.0094 96289.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 97 97 0 1 0.13 1 0.0081 96289.9 100 SAFH 98 98 0 1 0.12 1 0.0048 96289.9 101 SAFH 99 99 0 1 0.14 1 0.0042 96289.9 102 SAFH 100 100 0 1 0.11 1 0.0043 96289.9 103 SAFH 101 101 0 1 0.14 1 0.0047 96289.9 104 SAFH 102 102 0 1 0.094 1 0.0021 96289.9 105 SAFH 103 103 0 1 0.12 1 0.0036 96289.9 106 SAFH 104 104 0 1 0.1 1 0.0021 96289.9 107 SAFH 105 105 0 1 0.092 1 0.0019 96289.9 108 SAFH 106 106 0 1 0.055 1 0.0016 96289.9 109 SAFH 107 107 0 1 0.079 1 0.0012 96289.9 110 SAFH 108 108 0 1 0.062 1 0.00082 96289.9 111 SAFH 109 109 0 1 0.06 1 0.00076 96289.9 112 SAFH 110 110 0 1 0.058 1 0.00066 96289.9 113 SAFH 111 111 0 1 0.04 1 0.00053 96289.9 114 SAFH 112 112 0 1 0.033 1 0.00035 96289.9 115 SAFH 113 113 0 1 0.041 1 0.00045 96289.9 116 SAFH 114 114 0 1 0.036 1 0.0003 96289.9 117 SAFH 115 115 0 1 0.042 1 0.00033 96289.9 118 SAFH 116 116 0 1 0.021 1 0.0002 96289.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 117 117 0 1 0.022 1 0.00015 96289.9 120 SAFH 118 118 0 1 0.026 1 0.00016 96289.9 121 SAFH 119 119 0 1 0.023 1 0.00012 96289.9 122 SAFH 120 120 0 1 0.017 1 9.3E-05 96289.9 123 SAFH 121 121 0 1 0.015 1 6.9E-05 96289.9 124 SAFH 122 122 0 1 0.022 1 0.00011 96289.9 125 SAFH 123 123 0 1 0.014 1 4.7E-05 96289.9 126 SAFH 124 124 0 1 0.021 1 0.0001 96289.9 127 SAFH 125 125 0 1 0.015 1 4.7E-05 96289.9 128 SAFH 126 126 0 1 0.015 1 4.5E-05 96289.9 129 SAFH 127 127 0 1 0.011 1 2.8E-05 96289.9 130 SAFH 128 128 0 1 0.0091 1 2.4E-05 96289.9 131 SAFH 129 129 0 1 0.0094 1 2.4E-05 96289.9 132 SAFH 130 130 0 1 0.0088 1 2.2E-05 96289.9 133 SAFH 131 131 0 1 0.0077 1 1.2E-05 96289.9 134 SAFH 132 132 0 1 0.0051 1 1.2E-05 96289.9 135 SAFH 133 133 0 1 0.0046 1 1.1E-05 96289.9 136 SAFH 134 134 0 1 0.0071 1 1.3E-05 96289.9 137 SAFH 135 135 0 1 0.0044 1 6.1E-06 96289.9 138 SAFH 136 136 0 1 0.0047 1 6.3E-06 96289.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 137 137 0 1 0.0045 1 4.7E-06 96289.9 140 SAFH 138 138 0 1 0.0054 1 6.1E-06 96289.9 141 SAFH 139 139 0 1 0.0043 1 3.5E-06 96289.9 142 SAFH 140 140 0 1 0.003 1 2.6E-06 96289.9 143 SAFH 141 141 0 1 0.0046 1 4.2E-06 96289.9 144 SAFH 142 142 0 1 0.0024 1 2E-06 96289.9 145 SAFH 143 143 0 1 0.0041 1 3.6E-06 96289.9 146 SAFH 144 144 0 1 0.0025 1 1.6E-06 96289.9 147 SAFH 145 145 0 1 0.0029 1 1.7E-06 96289.9 148 SAFH 146 146 0 1 0.0021 1 1.1E-06 96289.9 149 SAFJL 147 147 0 1 0.0019 0 9.2E-07 96289.9 150 SAFH 146 146 0 0.5 2.3E+03 1 2.4E+05 -9736.96 151 SAFH 147 147 0 0.5 1.8E+03 1 3E+05 -11039.9 152 SAFG 148 148 0 0.5 1.2E+03 0 0 78474.7 152 FOUND SOLUTION: 78474.7 (NLP) in 6 sec. 153 SAFH 148 148 0 0.5 2.4E+02 1 1.1E+05 -4247.93 154 SAFH 149 149 0 0.5 1.4E+03 1 1.4E+05 31137.5 155 SAFH 150 150 0 0.5 1.2E+03 1 6.8E+04 40491.4 156 SAFH 151 151 0 0.5 1.8E+03 1 7.5E+04 40407.3 157 SAFH 152 152 0 0.5 1.6E+03 1 8.7E+04 44475.5 158 SAFH 153 153 0 0.5 7.7E+02 1 7.6E+04 47712.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 154 154 0 0.5 1.3E+03 1 5.2E+04 41608.9 160 SAFH 155 155 0 0.5 1.7E+03 1 6.4E+04 67194.6 161 SAFH 156 156 0 0.5 1.4E+03 1 6.7E+04 49173.7 162 SAFH 157 157 0 0.5 1.8E+03 1 6.1E+04 64138.8 163 SAFH 158 158 0 0.5 1.3E+03 1 6.2E+04 41452.2 164 SAFH 159 159 0 0.5 1.9E+03 1 7E+04 53451.2 165 SAFH 160 160 0 0.5 1.7E+03 1 4.3E+04 46316.5 166 SAFH 161 161 0 0.5 1.5E+03 1 5.8E+04 55204.6 167 SAFH 162 162 0 0.5 1.7E+03 1 6.9E+04 71536.3 168 SAFG 163 163 0 0.5 1.5E+03 0 0 75929.9 168 FOUND SOLUTION: 75929.9 (NLP) in 11 sec. 169 SAFH 163 163 0 0.5 2.5E+02 1 4.6E+04 46889.3 170 SAFH 164 164 0 0.5 1.2E+03 1 4E+04 86272.8 171 SAFH 165 165 0 0.5 1.7E+03 1 4.6E+04 48119.5 172 SAFH 166 166 0 0.5 1.6E+03 1 4.9E+04 53755.5 173 SAFH 167 167 0 0.5 1.8E+03 1 3.8E+04 46253.9 174 SAFH 168 168 0 0.5 1.6E+03 1 3.7E+04 60892.9 175 SAFH 169 169 0 0.5 8.4E+02 1 3.2E+04 65613.9 176 SAFH 170 170 0 0.5 5.6E+02 1 4.4E+04 78632.6 177 SAFH 171 171 0 0.5 3.9E+02 1 3.5E+04 80465.3 178 SAFH 172 172 0 0.5 2.9E+02 1 2E+04 84115.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 173 173 0 0.5 6E+02 1 2.8E+04 79450.5 180 SAFH 174 174 0 0.5 2.6E+02 1 2.2E+04 82282.6 181 SAFH 175 175 0 0.5 2.4E+02 1 3.2E+04 84493.9 182 SAFH 176 176 0 0.5 2.1E+02 1 2E+04 84792.6 183 SAFH 177 177 0 0.5 2.2E+02 1 1.2E+04 85734 184 SAFH 178 178 0 0.5 1.8E+02 1 1.3E+04 86415.5 185 SAFH 179 179 0 0.5 3E+02 1 2.5E+04 87501.3 186 SAFH 180 180 0 0.5 2.6E+02 1 1.1E+04 87933.9 187 SAFH 181 181 0 0.5 2.2E+02 1 8.6E+03 88736 188 SAFH 182 182 0 0.5 2.1E+02 1 7.3E+03 88845.2 189 SAFH 183 183 0 0.5 1.7E+02 1 6E+03 89279.2 190 SAFH 184 184 0 0.5 2.4E+02 1 8.9E+03 89724.2 191 SAFH 185 185 0 0.5 1.8E+02 1 6E+03 90068.2 192 SAFH 186 186 0 0.5 1.6E+02 1 4.1E+03 90230.3 193 SAFH 187 187 0 0.5 2.8E+02 1 6E+03 91571.3 194 SAFH 188 188 0 0.5 1.1E+02 1 3.3E+03 91753.7 195 SAFH 189 189 0 0.5 1.6E+02 1 4.4E+03 92115.8 196 SAFH 190 190 0 0.5 1.3E+02 1 2.5E+03 92335.4 197 SAFH 191 191 0 0.5 1.4E+02 1 3.1E+03 92602.8 198 SAFH 192 192 0 0.5 1E+02 1 1.7E+03 92606.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 193 193 0 0.5 4.2E+02 1 1.2E+04 94069.5 200 SAFH 194 194 0 0.5 2.7E+02 1 1.4E+04 95039 201 SAFH 195 195 0 0.3 1.6E+02 1 6.4E+03 96348.5 202 SAFH 196 196 0 0.3 3E+02 1 1.7E+04 97473.9 203 SAFH 197 197 0 0.3 1.9E+02 1 7.1E+03 98117.6 204 SAFH 198 198 0 0.3 2E+02 1 8.2E+03 98598.2 205 SAFH 199 199 0 0.3 1.5E+02 1 3.3E+03 98951.3 206 SAFH 200 200 0 0.3 1.5E+02 1 4.1E+03 100169 207 SAFH 201 201 0 0.3 1.1E+02 1 2.5E+03 100349 208 SAFH 202 202 0 0.3 84 1 2.1E+03 100516 209 SAFH 203 203 0 0.3 76 1 1.5E+03 100624 210 SAFH 204 204 0 0.3 74 1 1E+03 100781 211 SAFH 205 205 0 0.3 1.1E+02 1 2.2E+03 101212 212 SAFH 206 206 0 0.3 70 1 1.1E+03 101252 213 SAFH 207 207 0 0.3 46 1 7.1E+02 101279 214 SAFH 208 208 0 0.3 41 1 5.9E+02 101303 215 SAFH 209 209 0 0.3 42 1 4.5E+02 101324 216 SAFH 210 210 0 0.3 38 1 3.6E+02 101391 217 SAFH 211 211 0 0.3 39 1 3.2E+02 101450 218 SAFH 212 212 0 0.3 30 1 2.2E+02 101468 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 213 213 0 0.3 28 1 1.6E+02 101505 220 SAFH 214 214 0 0.3 43 1 4.9E+02 101541 221 SAFH 215 215 0 0.3 31 1 1.7E+02 101565 222 SAFH 216 216 0 0.3 24 1 1.4E+02 101575 223 SAFH 217 217 0 0.3 23 1 1.2E+02 101579 224 SAFH 218 218 0 0.3 19 1 67 101582 225 SAFH 219 219 0 0.3 22 1 1.1E+02 101586 226 SAFH 220 220 0 0.3 13 1 61 101594 227 SAFH 221 221 0 0.3 19 1 63 101596 228 SAFH 222 222 0 0.3 19 1 79 101603 229 SAFH 223 223 0 0.3 20 1 82 101607 230 SAFH 224 224 0 0.3 11 1 31 101607 231 SAFH 225 225 0 0.3 12 1 35 101611 232 SAFH 226 226 0 0.3 11 1 28 101618 233 SAFH 227 227 0 0.3 11 1 30 101620 234 SAFH 228 228 0 0.3 9.2 1 16 101620 235 SAFH 229 229 0 0.3 10 1 16 101622 236 SAFH 230 230 0 0.3 9 1 19 101624 237 SAFH 231 231 0 0.3 10 1 15 101625 238 SAFH 232 232 0 0.3 7.5 1 9.1 101625 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 233 233 0 0.3 6.4 1 8 101626 240 SAFH 234 234 0 0.3 6.8 1 7.8 101627 241 SAFH 235 235 0 0.3 6.6 1 8.7 101628 242 SAFH 236 236 0 0.3 4.4 1 4.2 101629 243 SAFH 237 237 0 0.3 4.7 1 4.2 101629 244 SAFH 238 238 0 0.3 3 1 3.4 101630 245 SAFH 239 239 0 0.3 4.5 1 3.5 101630 246 SAFH 240 240 0 0.3 3.8 1 2.1 101630 247 SAFH 241 241 0 0.3 2.5 1 1.8 101631 248 SAFH 242 242 0 0.3 2.9 1 1.7 101631 249 SAFH 243 243 0 0.3 3.1 1 2.5 101631 250 SAFH 244 244 0 0.3 2.6 1 1.2 101631 251 SAFH 245 245 0 0.3 1.9 1 0.95 101631 252 SAFH 246 246 0 0.3 2.1 1 0.84 101631 253 SAFH 247 247 0 0.3 1.9 1 0.69 101631 254 SAFH 248 248 0 0.3 1.4 1 0.53 101632 255 SAFH 249 249 0 0.3 1.2 1 0.42 101632 256 SAFH 250 250 0 0.3 1.4 1 0.38 101632 257 SAFH 251 251 0 0.3 1.1 1 0.29 101632 258 SAFH 252 252 0 0.3 0.93 1 0.22 101632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 253 253 0 0.3 0.98 1 0.2 101632 260 SAFH 254 254 0 0.3 0.91 1 0.16 101632 261 SAFH 255 255 0 0.3 0.97 1 0.12 101632 262 SAFH 256 256 0 0.3 0.58 1 0.1 101632 263 SAFH 257 257 0 0.3 0.67 1 0.09 101632 264 SAFH 258 258 0 0.3 0.46 1 0.083 101632 265 SAFH 259 259 0 0.3 0.49 1 0.047 101632 266 SAFH 260 260 0 0.3 0.56 1 0.061 101632 267 SAFH 261 261 0 0.3 0.41 1 0.037 101632 268 SAFH 262 262 0 0.3 0.65 1 0.066 101632 269 SAFH 263 263 0 0.3 0.3 1 0.031 101632 270 SAFH 264 264 0 0.3 0.36 1 0.025 101632 271 SAFH 265 265 0 0.3 0.24 1 0.024 101632 272 SAFH 266 266 0 0.3 0.22 1 0.014 101632 273 SAFH 267 267 0 0.3 0.28 1 0.017 101632 274 SAFH 268 268 0 0.3 0.34 1 0.017 101632 275 SAFH 269 269 0 0.3 0.19 1 0.0082 101632 276 SAFH 270 270 0 0.3 0.26 1 0.013 101632 277 SAFH 271 271 0 0.3 0.15 1 0.009 101632 278 SAFH 272 272 0 0.3 0.2 1 0.0064 101632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 273 273 0 0.3 0.19 1 0.01 101632 280 SAFH 274 274 0 0.3 0.14 1 0.0041 101632 281 SAFH 275 275 0 0.3 0.14 1 0.0046 101632 282 SAFH 276 276 0 0.3 0.14 1 0.0042 101632 283 SAFH 277 277 0 0.3 0.12 1 0.0025 101632 284 SAFH 278 278 0 0.3 0.13 1 0.0024 101632 285 SAFH 279 279 0 0.3 0.091 1 0.0023 101632 286 SAFH 280 280 0 0.3 0.086 1 0.0016 101632 287 SAFH 281 281 0 0.3 0.077 1 0.0013 101632 288 SAFH 282 282 0 0.3 0.085 1 0.0011 101632 289 SAFH 283 283 0 0.3 0.071 1 0.0011 101632 290 SAFH 284 284 0 0.3 0.043 1 0.00064 101632 291 SAFH 285 285 0 0.3 0.05 1 0.00062 101632 292 SAFH 286 286 0 0.3 0.049 1 0.00059 101632 293 SAFH 287 287 0 0.3 0.044 1 0.00057 101632 294 SAFH 288 288 0 0.3 0.036 1 0.00028 101632 295 SAFH 289 289 0 0.3 0.035 1 0.00034 101632 296 SAFH 290 290 0 0.3 0.039 1 0.00024 101632 297 SAFH 291 291 0 0.3 0.025 1 0.00028 101632 298 SAFH 292 292 0 0.3 0.029 1 0.00019 101632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 293 293 0 0.3 0.027 1 0.00012 101632 300 SAFH 294 294 0 0.3 0.02 1 0.00014 101632 301 SAFH 295 295 0 0.3 0.023 1 9.4E-05 101632 302 SAFH 296 296 0 0.3 0.021 1 9.8E-05 101632 303 SAFH 297 297 0 0.3 0.015 1 5.6E-05 101632 304 SAFH 298 298 0 0.3 0.022 1 7.1E-05 101632 305 SAFH 299 299 0 0.3 0.014 1 4.6E-05 101632 306 SAFH 300 300 0 0.3 0.017 1 5.6E-05 101632 307 SAFH 301 301 0 0.3 0.014 1 3.7E-05 101632 308 SAFH 302 302 0 0.3 0.011 1 2.5E-05 101632 309 SAFH 303 303 0 0.3 0.011 1 2.6E-05 101632 310 SAFH 304 304 0 0.3 0.0078 1 1.9E-05 101632 311 SAFH 305 305 0 0.3 0.0097 1 1.7E-05 101632 312 SAFH 306 306 0 0.3 0.009 1 1.6E-05 101632 313 SAFH 307 307 0 0.3 0.0053 1 8.7E-06 101632 314 SAFH 308 308 0 0.3 0.0091 1 1.4E-05 101632 315 SAFH 309 309 0 0.3 0.0072 1 7.3E-06 101632 316 SAFH 310 310 0 0.3 0.0059 1 9.6E-06 101632 317 SAFH 311 311 0 0.3 0.0076 1 1.1E-05 101632 318 SAFH 312 312 0 0.3 0.0049 1 4.4E-06 101632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 313 313 0 0.3 0.0055 1 5.2E-06 101632 320 SAFH 314 314 0 0.3 0.0046 1 4.4E-06 101632 321 SAFH 315 315 0 0.3 0.0044 1 2.9E-06 101632 322 SAFH 316 316 0 0.3 0.0031 1 2.5E-06 101632 323 SAFH 317 317 0 0.3 0.0041 1 3.2E-06 101632 324 SAFH 318 318 0 0.3 0.0018 1 1.5E-06 101632 325 SAFH 319 319 0 0.3 0.0036 1 2.3E-06 101632 326 SAFH 320 320 0 0.3 0.002 1 2.1E-06 101632 327 SAFJ 321 321 0 0.3 0.0016 0 9.6E-07 101632 328 SAFJ 321 321 0 0.2 0 0 9.6E-07 101632 329 SAFJ 321 321 0 0.1 0 0 9.6E-07 101632 330 AFG 321 321 0 0 1.5E+03 0 0 67177.1 330 FOUND SOLUTION: 67177.1 (NLP) in 66 sec. 331 AFH 321 321 0 0 1.5E+02 1 3.2E+04 43455.1 332 AFH 322 322 0 0 1.1E+03 1 3.4E+04 45947.4 333 AFG 323 323 0 0 1.4E+03 0 0 66703 333 FOUND SOLUTION: 66703 (NLP) in 69 sec. 334 AFH 323 323 0 0 1.2E+02 1 2.3E+04 47649.9 335 AFH 324 324 0 0 1.4E+03 1 2.3E+04 52094.7 336 AFG 325 325 0 0 9.3E+02 0 0 65144.6 336 FOUND SOLUTION: 65144.6 (NLP) in 71 sec. 337 AFH 325 325 0 0 2.3E+02 1 2.4E+04 52745.3 338 AFH 326 326 0 0 8E+02 1 1.7E+04 53148.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 327 327 0 0 1.2E+03 1 2.1E+04 53823.1 340 AFG 328 328 0 0 9.7E+02 0 0 64748.8 340 FOUND SOLUTION: 64748.8 (NLP) in 77 sec. 341 AFH 328 328 0 0 1.3E+02 1 1.3E+04 54847 342 AFH 329 329 0 0 8.3E+02 1 1.8E+04 56129.3 343 AFH 330 330 0 0 5.1E+02 1 1.8E+04 56495.2 344 AFH 331 331 0 0 1.3E+03 1 1.5E+04 57033.6 345 AFH 332 332 0 0 1.3E+03 1 1.3E+04 57476.2 346 AFH 333 333 0 0 1.1E+03 1 1.6E+04 58173.6 347 AFH 334 334 0 0 6.2E+02 1 9.6E+03 58798.2 348 AFH 335 335 0 0 1.1E+03 1 1.2E+04 59073.8 349 AFH 336 336 0 0 1.2E+03 1 8E+03 59146.1 350 AFH 337 337 0 0 6.3E+02 1 7.5E+03 59754 351 AFH 338 338 0 0 6.6E+02 1 7.9E+03 59869.1 352 AFH 339 339 0 0 8.4E+02 1 1.4E+04 60363.2 353 AFH 340 340 0 0 4.7E+02 1 1.2E+04 60383.8 354 AFH 341 341 0 0 3.3E+02 1 6.9E+03 60618.6 355 AFH 342 342 0 0 7.8E+02 1 7.5E+03 60846.4 356 AFH 343 343 0 0 8.4E+02 1 1E+04 61036.9 357 AFH 344 344 0 0 8.9E+02 1 9.8E+03 61069.6 358 AFH 345 345 0 0 1.1E+03 1 5.3E+03 61161.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 346 346 0 0 8E+02 1 8.3E+03 61170 360 AFH 347 347 0 0 4E+02 1 5.8E+03 61508.3 361 AFH 348 348 0 0 7E+02 1 4.2E+03 61572.6 362 AFH 349 349 0 0 8.8E+02 1 6.7E+03 61758.8 363 AFH 350 350 0 0 7.4E+02 1 1.1E+04 61772.8 364 AFH 351 351 0 0 9.9E+02 1 8.1E+03 61999.9 365 AFH 352 352 0 0 1.1E+03 1 3.7E+03 62067.3 366 AFH 353 353 0 0 6.3E+02 1 8E+03 62449 367 AFH 354 354 0 0 3.6E+02 1 5.1E+03 62593.7 368 AFH 355 355 0 0 6.1E+02 1 3.4E+03 62708.7 369 AFH 356 356 0 0 8.9E+02 1 2.3E+03 62868.9 370 AFH 357 357 0 0 7.1E+02 1 4.3E+03 62984.7 371 AFH 358 358 0 0 5.8E+02 1 8.5E+03 62994.1 372 AFH 359 359 0 0 5.2E+02 1 8.4E+03 63048.2 373 AFH 360 360 0 0 3.8E+02 1 3E+03 63054.9 374 AFH 361 361 0 0 7E+02 1 8.6E+03 63100.1 375 AFH 362 362 0 0 7.5E+02 1 6.7E+03 63126.9 376 AFH 363 363 0 0 5.7E+02 1 3.9E+03 63165.4 377 AFH 364 364 0 0 6.8E+02 1 4.9E+03 63226.8 378 AFH 365 365 0 0 7.3E+02 1 4.1E+03 63290 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 366 366 0 0 4.8E+02 1 2.1E+03 63316.4 380 AFH 367 367 0 0 4.5E+02 1 2.5E+03 63385.5 381 AFH 368 368 0 0 5.3E+02 1 3E+03 63477.6 382 AFH 369 369 0 0 9.8E+02 1 3.6E+03 63494 383 AFH 370 370 0 0 5.1E+02 1 2.1E+03 63653.1 384 AFH 371 371 0 0 5.5E+02 1 3.4E+03 63662.3 385 AFH 372 372 0 0 8.2E+02 1 2.9E+03 63733.8 386 AFH 373 373 0 0 5.9E+02 1 2.6E+03 63734.9 387 AFH 374 374 0 0 2.7E+02 1 1.4E+03 63770 388 AFH 375 375 0 0 6.7E+02 1 3E+03 63885.6 389 AFH 376 376 0 0 6.2E+02 1 3.5E+03 63889.4 390 AFH 377 377 0 0 8.2E+02 1 5.1E+03 63897.1 391 AFH 378 378 0 0 6.2E+02 1 2E+03 63927.7 392 AFH 379 379 0 0 4.8E+02 1 1.6E+03 63928.7 393 AFH 380 380 0 0 5.1E+02 1 1.8E+03 63947.9 394 AFH 381 381 0 0 7.7E+02 1 5.6E+03 63951.6 395 AFH 382 382 0 0 4.8E+02 1 1.6E+03 64035.6 396 AFH 383 383 0 0 1.9E+02 1 1.6E+03 64038.2 397 AFH 384 384 0 0 4.8E+02 1 1.2E+03 64046 398 AFH 385 385 0 0 1.7E+02 1 8.3E+02 64091.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 386 386 0 0 8.8E+02 1 2.2E+03 64112.5 400 AFH 387 387 0 0 4.3E+02 1 1.6E+03 64129.7 401 AFH 388 388 0 0 2.9E+02 1 1.6E+03 64163.8 402 AFH 389 389 0 0 4.8E+02 1 1.7E+03 64181.7 403 AFH 390 390 0 0 3.8E+02 1 7E+03 64207.8 404 AFH 391 391 0 0 3.9E+02 1 7.8E+02 64215.9 405 AFH 392 392 0 0 2.7E+02 1 1.5E+03 64282.6 406 AFH 393 393 0 0 2.8E+02 1 2.3E+03 64292.7 407 AFH 394 394 0 0 2.1E+02 1 9.3E+02 64313.6 408 AFH 395 395 0 0 5.2E+02 1 1.6E+03 64345.6 409 AFH 396 396 0 0 5.2E+02 1 3.8E+03 64354.7 410 AFH 397 397 0 0 5.2E+02 1 1E+03 64358 411 AFH 398 398 0 0 3.5E+02 1 8.9E+02 64377.7 412 AFH 399 399 0 0 2.6E+02 1 8.9E+02 64384.7 413 AFH 400 400 0 0 6.3E+02 1 6E+02 64393.5 414 AFH 401 401 0 0 1.6E+02 1 5.8E+02 64408 415 AFH 402 402 0 0 5.1E+02 1 4.4E+03 64410.2 416 AFH 403 403 0 0 5.9E+02 1 1.9E+03 64422.4 417 AFH 404 404 0 0 3.2E+02 1 2.1E+03 64448.6 418 AFH 405 405 0 0 3.4E+02 1 9.6E+02 64461.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 406 406 0 0 3E+02 1 1.2E+03 64483.8 420 AFH 407 407 0 0 2.8E+02 1 4.1E+02 64491.9 421 AFH 408 408 0 0 6.9E+02 1 1.1E+03 64499.3 422 AFH 409 409 0 0 3.6E+02 1 6.9E+02 64511.1 423 AFH 410 410 0 0 3.7E+02 1 5.6E+02 64524.1 424 AFH 411 411 0 0 2.5E+02 1 3E+02 64527.2 425 AFH 412 412 0 0 7.5E+02 1 1.2E+03 64533 426 AFH 413 413 0 0 2.3E+02 1 1E+03 64534.8 427 AFH 414 414 0 0 1.6E+02 1 3.7E+02 64548.1 428 AFH 415 415 0 0 6.6E+02 1 9.1E+02 64557.7 429 AFH 416 416 0 0 5.4E+02 1 3.9E+03 64560 430 AFH 417 417 0 0 5.2E+02 1 3.6E+02 64562 431 AFH 418 418 0 0 5.7E+02 1 9.6E+02 64567.5 432 AFH 419 419 0 0 2.5E+02 1 3.8E+03 64574.1 433 AFH 420 420 0 0 6.1E+02 1 3.9E+03 64578.7 434 AFH 421 421 0 0 1.1E+02 1 2.6E+03 64586.5 435 AFH 422 422 0 0 4.1E+02 1 8.9E+02 64589 436 AFH 423 423 0 0 1.9E+02 1 6.9E+02 64591.7 437 AFH 424 424 0 0 2.4E+02 1 4E+02 64601.7 438 AFH 425 425 0 0 4.9E+02 1 1.1E+03 64609.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 426 426 0 0 3.5E+02 1 3.1E+02 64610.2 440 AFH 427 427 0 0 37 1 2.1E+02 64612.9 441 AFH 428 428 0 0 1.5E+02 1 2.2E+02 64614.1 442 AFH 429 429 0 0 2.1E+02 1 5.2E+02 64614.7 443 AFH 430 430 0 0 3.3E+02 1 2E+02 64628.4 444 AFH 431 431 0 0 4.7E+02 1 8.8E+02 64637.2 445 AFH 432 432 0 0 1.7E+02 1 6.8E+02 64645.4 446 AFH 433 433 0 0 2E+02 1 1.5E+02 64660.8 447 AFH 434 434 0 0 2.8E+02 1 1.4E+02 64665.6 448 AFH 435 435 0 0 3.6E+02 1 1.1E+02 64671.1 449 AFH 436 436 0 0 6E+02 1 1.3E+02 64671.7 450 AFH 437 437 0 0 4.4E+02 1 1.2E+03 64673.8 451 AFH 438 438 0 0 4.7E+02 1 2.8E+03 64681 452 AFH 439 439 0 0 4.9E+02 1 1.1E+02 64687.9 453 AFH 440 440 0 0 1.3E+02 1 6.4E+02 64692.7 454 AFH 441 441 0 0 2.4E+02 1 1.3E+03 64695.6 455 AFH 442 442 0 0 1.7E+02 1 97 64698.2 456 AFH 443 443 0 0 2.6E+02 1 6E+02 64699.8 457 AFH 444 444 0 0 1.8E+02 1 3.8E+02 64701.4 458 AFH 445 445 0 0 2.6E+02 1 6.4E+02 64702.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 446 446 0 0 3E+02 1 68 64702.6 460 AFH 447 447 0 0 18 1 71 64707.2 461 AFH 448 448 0 0 4.4E+02 1 7.4E+02 64708.2 462 AFH 449 449 0 0 4.8E+02 1 64 64709 463 AFH 450 450 0 0 3.4E+02 1 4.5E+02 64709.4 464 AFH 451 451 0 0 2.7E+02 1 66 64715.7 465 AFH 452 452 0 0 3.3E+02 1 4E+02 64716.1 466 AFH 453 453 0 0 3.3E+02 1 49 64718.1 467 AFH 454 454 0 0 1.4E+02 1 44 64722.3 468 AFH 455 455 0 0 16 1 56 64723.2 469 AFH 456 456 0 0 2.2E+02 1 29 64723.9 470 AFH 457 457 0 0 3.5E+02 1 4.2E+02 64724.5 471 AFH 458 458 0 0 61 1 3.9E+02 64731 472 AFH 459 459 0 0 1.2E+02 1 40 64734.1 473 AFH 460 460 0 0 1.1E+02 1 37 64734.7 474 AFH 461 461 0 0 2.4E+02 1 41 64735.9 475 AFH 462 462 0 0 11 1 24 64736.3 476 AFH 463 463 0 0 1.1E+02 1 24 64737.8 477 AFH 464 464 0 0 10 1 22 64738.7 478 AFH 465 465 0 0 2.5E+02 1 4.2E+02 64740 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 466 466 0 0 1.3E+02 1 27 64740.2 480 AFH 467 467 0 0 1.3E+02 1 18 64740.4 481 AFH 468 468 0 0 9.9 1 13 64740.5 482 AFH 469 469 0 0 3.6E+02 1 15 64741.2 483 AFH 470 470 0 0 2.6E+02 1 13 64741.4 484 AFH 471 471 0 0 3.4E+02 1 2.5E+02 64742.7 485 AFH 472 472 0 0 2.5E+02 1 18 64742.9 486 AFH 473 473 0 0 9.5 1 12 64743.1 487 AFH 474 474 0 0 3.6E+02 1 13 64743.3 488 AFH 475 475 0 0 6.7 1 7.5 64743.4 489 AFH 476 476 0 0 9 1 13 64744.1 490 AFH 477 477 0 0 2E+02 1 3.4E+02 64744.2 491 AFH 478 478 0 0 4.3E+02 1 15 64744.6 492 AFH 479 479 0 0 5.8E+02 1 9.1 64744.6 493 AFH 480 480 0 0 5.7 1 6.6 64745 494 AFH 481 481 0 0 6.4 1 12 64745.1 495 AFH 482 482 0 0 5.9 1 6.2 64745.2 496 AFH 483 483 0 0 1.3E+02 1 6.7 64745.9 497 AFH 484 484 0 0 1.3E+02 1 8.5 64746 498 AFH 485 485 0 0 4.4 1 3.9 64746 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 486 486 0 0 2.2E+02 1 5.1 64746.1 500 AFH 487 487 0 0 2.2E+02 1 4.8 64746.5 501 AFH 488 488 0 0 1.1E+02 1 5.5 64746.6 502 AFH 489 489 0 0 1E+02 1 3.3 64746.7 503 AFH 490 490 0 0 4.5 1 3.9 64746.8 504 AFH 491 491 0 0 2.2E+02 1 3 64747.1 505 AFH 492 492 0 0 2.2E+02 1 2.6 64747.3 506 AFH 493 493 0 0 4.3 1 3.2 64747.3 507 AFH 494 494 0 0 4 1 3 64747.4 508 AFH 495 495 0 0 3.1 1 1.8 64747.5 509 AFH 496 496 0 0 3.4 1 2.1 64747.7 510 AFH 497 497 0 0 2.7 1 1.5 64747.8 511 AFH 498 498 0 0 2.2E+02 1 1.7 64748 512 AFH 499 499 0 0 3.4 1 1.8 64748 513 AFH 500 500 0 0 3.3E+02 1 8.7E+02 64748.1 514 AFH 501 501 0 0 3.3E+02 1 1.5 64748.2 515 AFH 502 502 0 0 3 1 1.2 64748.2 516 AFH 503 503 0 0 2.4 1 1 64748.2 517 AFH 504 504 0 0 2.1 1 0.82 64748.3 518 AFH 505 505 0 0 2.2E+02 1 1.1 64748.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 506 506 0 0 2.4 1 0.96 64748.4 520 AFH 507 507 0 0 1.9 1 0.76 64748.4 521 AFH 508 508 0 0 1.9 1 0.64 64748.4 522 AFH 509 509 0 0 1.3 1 0.56 64748.4 523 AFH 510 510 0 0 2.2E+02 1 0.76 64748.5 524 AFH 511 511 0 0 1.6 1 0.41 64748.5 525 AFH 512 512 0 0 1.2E+02 1 0.4 64748.6 526 AFH 513 513 0 0 1.8 1 0.43 64748.6 527 AFH 514 514 0 0 1.7 1 0.54 64748.6 528 AFH 515 515 0 0 1.9E+02 1 0.35 64748.6 529 AFH 516 516 0 0 88 1 0.34 64748.6 530 AFH 517 517 0 0 1.1 1 0.23 64748.6 531 AFH 518 518 0 0 1.1 1 0.25 64748.7 532 AFH 519 519 0 0 1.3 1 0.35 64748.7 533 AFH 520 520 0 0 1 1 0.23 64748.7 534 AFH 521 521 0 0 1.1 1 0.21 64748.7 535 AFH 522 522 0 0 0.77 1 0.18 64748.7 536 AFH 523 523 0 0 1.2 1 0.18 64748.7 537 AFH 524 524 0 0 1.1 1 0.19 64748.7 538 AFH 525 525 0 0 0.72 1 0.11 64748.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 526 526 0 0 1.2 1 0.2 64748.7 540 AFH 527 527 0 0 0.89 1 0.17 64748.8 541 AFH 528 528 0 0 1E+02 1 0.13 64748.8 542 AFH 529 529 0 0 0.7 1 0.098 64748.8 543 AFH 530 530 0 0 0.79 1 0.099 64748.8 544 AFH 531 531 0 0 0.69 1 0.091 64748.8 545 AFH 532 532 0 0 0.65 1 0.088 64748.8 546 AFH 533 533 0 0 1E+02 1 0.11 64748.8 547 AFH 534 534 0 0 88 1 0.059 64748.8 548 AFH 535 535 0 0 88 1 0.061 64748.8 549 AFH 536 536 0 0 0.62 1 0.082 64748.8 550 AFH 537 537 0 0 0.6 1 0.063 64748.8 551 AFH 538 538 0 0 0.45 1 0.051 64748.8 552 AFH 539 539 0 0 0.47 1 0.043 64748.8 553 AFH 540 540 0 0 88 1 0.042 64748.8 554 AFH 541 541 0 0 88 1 0.043 64748.8 555 AFH 542 542 0 0 88 1 0.036 64748.8 556 AFH 543 543 0 0 87 1 0.027 64748.8 557 AFH 544 544 0 0 0.41 1 0.034 64748.8 558 AFH 545 545 0 0 0.36 1 0.032 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 AFH 546 546 0 0 0.41 1 0.023 64748.8 560 AFH 547 547 0 0 0.38 1 0.021 64748.8 561 AFH 548 548 0 0 0.26 1 0.018 64748.8 562 AFH 549 549 0 0 0.32 1 0.02 64748.8 563 AFH 550 550 0 0 0.28 1 0.015 64748.8 564 AFH 551 551 0 0 0.29 1 0.014 64748.8 565 AFH 552 552 0 0 0.35 1 0.017 64748.8 566 AFH 553 553 0 0 0.21 1 0.0092 64748.8 567 AFH 554 554 0 0 0.29 1 0.019 64748.8 568 AFH 555 555 0 0 0.27 1 0.011 64748.8 569 AFH 556 556 0 0 0.2 1 0.01 64748.8 570 AFH 557 557 0 0 0.21 1 0.011 64748.8 571 AFH 558 558 0 0 0.21 1 0.0088 64748.8 572 AFH 559 559 0 0 0.24 1 0.0082 64748.8 573 AFH 560 560 0 0 0.19 1 0.0055 64748.8 574 AFH 561 561 0 0 0.25 1 0.0084 64748.8 575 AFH 562 562 0 0 0.2 1 0.0069 64748.8 576 AFH 563 563 0 0 0.19 1 0.0057 64748.8 577 AFH 564 564 0 0 0.17 1 0.0055 64748.8 578 AFH 565 565 0 0 0.18 1 0.005 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 AFH 566 566 0 0 0.11 1 0.0037 64748.8 580 AFH 567 567 0 0 0.16 1 0.0042 64748.8 581 AFH 568 568 0 0 0.14 1 0.0033 64748.8 582 AFH 569 569 0 0 0.13 1 0.0027 64748.8 583 AFH 570 570 0 0 0.13 1 0.0032 64748.8 584 AFH 571 571 0 0 0.13 1 0.0031 64748.8 585 AFH 572 572 0 0 0.13 1 0.0023 64748.8 586 AFH 573 573 0 0 0.13 1 0.002 64748.8 587 AFH 574 574 0 0 0.12 1 0.0027 64748.8 588 AFH 575 575 0 0 0.091 1 0.0015 64748.8 589 AFH 576 576 0 0 0.095 1 0.002 64748.8 590 AFH 577 577 0 0 0.085 1 0.0014 64748.8 591 AFH 578 578 0 0 0.084 1 0.0014 64748.8 592 AFH 579 579 0 0 0.088 1 0.0013 64748.8 593 AFH 580 580 0 0 0.079 1 0.0014 64748.8 594 AFH 581 581 0 0 0.071 1 0.00085 64748.8 595 AFH 582 582 0 0 0.073 1 0.0012 64748.8 596 AFH 583 583 0 0 0.081 1 0.00086 64748.8 597 AFH 584 584 0 0 0.059 1 0.00076 64748.8 598 AFH 585 585 0 0 0.073 1 0.00079 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 AFH 586 586 0 0 0.063 1 0.00082 64748.8 600 AFH 587 587 0 0 0.059 1 0.00064 64748.8 601 AFH 588 588 0 0 0.05 1 0.00053 64748.8 602 AFH 589 589 0 0 0.05 1 0.00048 64748.8 603 AFH 590 590 0 0 0.05 1 0.00038 64748.8 604 AFH 591 591 0 0 0.05 1 0.00051 64748.8 605 AFH 592 592 0 0 0.054 1 0.00048 64748.8 606 AFH 593 593 0 0 0.051 1 0.00034 64748.8 607 AFH 594 594 0 0 0.035 1 0.00031 64748.8 608 AFH 595 595 0 0 0.047 1 0.00037 64748.8 609 AFH 596 596 0 0 0.037 1 0.00024 64748.8 610 AFH 597 597 0 0 0.038 1 0.00026 64748.8 611 AFH 598 598 0 0 0.044 1 0.00031 64748.8 612 AFH 599 599 0 0 0.032 1 0.00017 64748.8 613 AFH 600 600 0 0 0.027 1 0.00017 64748.8 614 AFH 601 601 0 0 87 1 0.00017 64748.8 615 AFH 602 602 0 0 87 1 0.00016 64748.8 616 AFH 603 603 0 0 87 1 0.00019 64748.8 617 AFH 604 604 0 0 87 1 0.00012 64748.8 618 AFH 605 605 0 0 2.6E+02 1 0.0001 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 AFH 606 606 0 0 0.024 1 0.00012 64748.8 620 AFH 607 607 0 0 0.019 1 8.8E-05 64748.8 621 AFH 608 608 0 0 0.022 1 0.00012 64748.8 622 AFH 609 609 0 0 2.6E+02 1 7.4E-05 64748.8 623 AFH 610 610 0 0 87 1 7.1E-05 64748.8 624 AFH 611 611 0 0 87 1 9.4E-05 64748.8 625 AFH 612 612 0 0 0.017 1 5.2E-05 64748.8 626 AFH 613 613 0 0 0.017 1 5.8E-05 64748.8 627 AFH 614 614 0 0 0.021 1 6.5E-05 64748.8 628 AFH 615 615 0 0 0.017 1 5.3E-05 64748.8 629 AFH 616 616 0 0 0.017 1 4.5E-05 64748.8 630 AFH 617 617 0 0 0.012 1 3.2E-05 64748.8 631 AFH 618 618 0 0 0.013 1 3.9E-05 64748.8 632 AFH 619 619 0 0 0.015 1 3.8E-05 64748.8 633 AFH 620 620 0 0 0.014 1 3E-05 64748.8 634 AFH 621 621 0 0 0.011 1 2.6E-05 64748.8 635 AFH 622 622 0 0 0.015 1 4E-05 64748.8 636 AFH 623 623 0 0 0.011 1 2E-05 64748.8 637 AFH 624 624 0 0 0.012 1 2.2E-05 64748.8 638 AFH 625 625 0 0 0.011 1 2E-05 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 AFH 626 626 0 0 0.013 1 3.1E-05 64748.8 640 AFH 627 627 0 0 0.01 1 1.7E-05 64748.8 641 AFH 628 628 0 0 0.0075 1 1.4E-05 64748.8 642 AFH 629 629 0 0 0.009 1 1.5E-05 64748.8 643 AFH 630 630 0 0 0.011 1 1.9E-05 64748.8 644 AFH 631 631 0 0 0.0073 1 9.8E-06 64748.8 645 AFH 632 632 0 0 0.0091 1 1.5E-05 64748.8 646 AFH 633 633 0 0 0.0089 1 1.5E-05 64748.8 647 AFH 634 634 0 0 0.0074 1 9.9E-06 64748.8 648 AFH 635 635 0 0 0.0079 1 8.7E-06 64748.8 649 AFH 636 636 0 0 0.0061 1 1.2E-05 64748.8 650 AFH 637 637 0 0 0.0058 1 7.3E-06 64748.8 651 AFH 638 638 0 0 0.0058 1 8E-06 64748.8 652 AFH 639 639 0 0 0.0068 1 8.5E-06 64748.8 653 AFH 640 640 0 0 0.0054 1 5.1E-06 64748.8 654 AFH 641 641 0 0 0.0059 1 6.8E-06 64748.8 655 AFH 642 642 0 0 0.0048 1 4.5E-06 64748.8 656 AFH 643 643 0 0 0.0057 1 6.2E-06 64748.8 657 AFH 644 644 0 0 0.0058 1 5.4E-06 64748.8 658 AFH 645 645 0 0 0.0046 1 3.6E-06 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 AFH 646 646 0 0 2.6E+02 1 5E-06 64748.8 660 AFH 647 647 0 0 2.6E+02 1 3E-06 64748.8 661 AFH 648 648 0 0 0.0049 1 3.6E-06 64748.8 662 AFH 649 649 0 0 0.0044 1 3.5E-06 64748.8 663 AFH 650 650 0 0 0.0043 1 2.8E-06 64748.8 664 AFH 651 651 0 0 2.3E+02 1 2.3E-06 64748.8 665 AFH 652 652 0 0 2.3E+02 1 2.1E-06 64748.8 666 AFH 653 653 0 0 0.0033 1 2E-06 64748.8 667 AFH 654 654 0 0 0.003 1 2.6E-06 64748.8 668 AFH 655 655 0 0 0.0033 1 2.1E-06 64748.8 669 AFH 656 656 0 0 0.0023 1 1.5E-06 64748.8 670 AFH 657 657 0 0 0.0022 1 1.2E-06 64748.8 671 AFH 658 658 0 0 0.0038 1 2.1E-06 64748.8 672 AFH 659 659 0 0 0.0023 1 1E-06 64748.8 673 AFH 660 660 0 0 0.003 1 1.8E-06 64748.8 674 AFH 661 661 0 0 0.0025 1 1.2E-06 64748.8 675 AFH 662 662 0 0 0.0022 1 1.1E-06 64748.8 676 AFJ 663 663 0 0 0.0023 0 9.3E-07 64748.8 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.53_SLay07H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 64748.825292354689736 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 64748.825292354689736 Max constraint (1) : -0 Time used (seconds) : 746.06 Time limit (seconds) : 7200 Iterations used : 676 Iteration limit : -1 Function evaluations : 1529 Gradient evaluations : 664 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.7 % MIP time usage : 99.3 % Optimal/total MIPs : 347/676 NLP solver calls : 677 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay07H.gms(1412) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay07H.gms Stop 09/14/12 14:50:30 elapsed 0:12:26.254 @04 1347627030 ----------------------------- Fr 14. Sep 14:50:30 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay07M.gms =========== ----------------------------- Fr 14. Sep 14:38:07 CEST 2012 ----------------------------- @03 1347626287 --- Job SLay07M.gms Start 09/14/12 14:38:07 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay07M.gms(489) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- SLay07M.gms(487) 3 Mb --- Generating MIQCP model m --- SLay07M.gms(489) 5 Mb --- 190 rows 141 columns 645 non-zeroes --- 59 nl-code 14 nl-non-zeroes --- 84 discrete-columns --- SLay07M.gms(489) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.54_SLay07M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 645 elements of which 2% are non-linear(NL) included in 190 constraints of which 1% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 14 from a total of 141 variables: Continuous(57), Binary(84), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 4.1E+05 NA 1 SAFG 1 1 0 1 5.5E+02 0 0 222472 1 FOUND SOLUTION: 222472 (NLP) in 1 sec. 2 SAFH 1 1 0 1 4E+02 1 2.4E+06 -1.10844E+06 3 SAFH 2 2 0 1 5E+02 1 1.2E+06 -619134 4 SAFH 3 3 0 1 5.8E+02 1 9E+05 -268899 5 SAFH 4 4 0 1 4.3E+02 1 7.5E+05 -164063 6 SAFH 5 5 0 1 3E+02 1 3.6E+05 -90685.4 7 SAFH 6 6 0 1 4.6E+02 1 4.2E+05 35094.4 8 SAFH 7 7 0 1 2.9E+02 1 2E+05 94327.7 9 SAFH 8 8 0 1 3E+02 1 1.7E+05 134897 10 SAFH 9 9 0 1 3.5E+02 1 1.4E+05 149130 11 SAFH 10 10 0 1 3.1E+02 1 1.5E+05 156741 12 SAFH 11 11 0 1 2.8E+02 1 7.5E+04 161096 13 SAFH 12 12 0 1 2.7E+02 1 1.3E+05 180727 14 SAFH 13 13 0 1 2.2E+02 1 8.3E+04 186876 15 SAFH 14 14 0 1 1.8E+02 1 3.8E+04 194111 16 SAFH 15 15 0 1 1.6E+02 1 5.7E+04 206181 17 SAFH 16 16 0 1 58 1 2.3E+04 206999 18 SAFH 17 17 0 1 85 1 3.2E+04 210233 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 1.5E+02 1 2.9E+04 210653 20 SAFH 19 19 0 1 1.3E+02 1 1.4E+04 211104 21 SAFH 20 20 0 1 1.2E+02 1 2.8E+04 212920 22 SAFH 21 21 0 1 47 1 1.6E+04 213605 23 SAFH 22 22 0 1 89 1 1.1E+04 216386 24 SAFH 23 23 0 1 46 1 7.8E+03 217650 25 SAFH 24 24 0 1 80 1 1.4E+04 218269 26 SAFH 25 25 0 1 58 1 5.8E+03 218273 27 SAFH 26 26 0 1 61 1 6.4E+03 219015 28 SAFH 27 27 0 1 51 1 4.6E+03 219688 29 SAFH 28 28 0 1 49 1 2.8E+03 220016 30 SAFH 29 29 0 1 66 1 5.9E+03 221004 31 SAFH 30 30 0 1 33 1 2.8E+03 221303 32 SAFH 31 31 0 1 44 1 2.7E+03 221353 33 SAFH 32 32 0 1 48 1 2.4E+03 221503 34 SAFH 33 33 0 1 25 1 1.2E+03 221556 35 SAFH 34 34 0 1 35 1 2.2E+03 221993 36 SAFH 35 35 0 1 32 1 1.7E+03 222076 37 SAFH 36 36 0 1 24 1 1E+03 222086 38 SAFH 37 37 0 1 27 1 1E+03 222089 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 32 1 1E+03 222100 40 SAFH 39 39 0 1 19 1 7.6E+02 222114 41 SAFH 40 40 0 1 14 1 4.2E+02 222128 42 SAFH 41 41 0 1 25 1 1.2E+03 222185 43 SAFH 42 42 0 1 30 1 8.8E+02 222189 44 SAFH 43 43 0 1 19 1 4.7E+02 222193 45 SAFH 44 44 0 1 25 1 8.2E+02 222215 46 SAFH 45 45 0 1 40 1 1.6E+03 222237 47 SAFH 46 46 0 1 21 1 7.3E+02 222254 48 SAFH 47 47 0 1 18 1 5.4E+02 222288 49 SAFH 48 48 0 1 13 1 2.8E+02 222293 50 SAFH 49 49 0 1 16 1 3E+02 222341 51 SAFH 50 50 0 1 16 1 2.6E+02 222352 52 SAFH 51 51 0 1 12 1 1.6E+02 222353 53 SAFH 52 52 0 1 11 1 1.9E+02 222363 54 SAFH 53 53 0 1 16 1 3.8E+02 222388 55 SAFH 54 54 0 1 13 1 1.8E+02 222395 56 SAFH 55 55 0 1 7.8 1 1.1E+02 222401 57 SAFH 56 56 0 1 9.7 1 91 222405 58 SAFH 57 57 0 1 7.1 1 85 222427 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 8.3 1 90 222429 60 SAFH 59 59 0 1 5.6 1 50 222436 61 SAFH 60 60 0 1 2.6 1 44 222439 62 SAFH 61 61 0 1 6.2 1 63 222457 63 SAFH 62 62 0 1 6.3 1 47 222457 64 SAFH 63 63 0 1 4.7 1 26 222457 65 SAFH 64 64 0 1 4.5 1 23 222458 66 SAFH 65 65 0 1 4.3 1 23 222458 67 SAFH 66 66 0 1 3.8 1 22 222459 68 SAFH 67 67 0 1 3.3 1 11 222462 69 SAFH 68 68 0 1 3 1 12 222468 70 SAFH 69 69 0 1 1.3 1 12 222469 71 SAFH 70 70 0 1 2.4 1 9.1 222469 72 SAFH 71 71 0 1 1.7 1 6 222470 73 SAFH 72 72 0 1 2.2 1 5.4 222470 74 SAFH 73 73 0 1 1.9 1 5.7 222470 75 SAFH 74 74 0 1 1.5 1 3.6 222470 76 SAFH 75 75 0 1 1.8 1 4.9 222471 77 SAFH 76 76 0 1 0.93 1 2.2 222471 78 SAFH 77 77 0 1 1.3 1 3.8 222471 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 1.1 1 2.8 222471 80 SAFH 79 79 0 1 0.97 1 1.7 222471 81 SAFH 80 80 0 1 1.2 1 1.7 222471 82 SAFH 81 81 0 1 0.97 1 1.2 222471 83 SAFH 82 82 0 1 0.7 1 1.5 222472 84 SAFH 83 83 0 1 0.54 1 0.69 222472 85 SAFH 84 84 0 1 1.6 1 2.6 222472 86 SAFH 85 85 0 1 1.1 1 1.2 222472 87 SAFH 86 86 0 1 1 1 1.6 222472 88 SAFH 87 87 0 1 0.49 1 0.77 222472 89 SAFH 88 88 0 1 0.81 1 0.59 222472 90 SAFH 89 89 0 1 0.47 1 0.53 222472 91 SAFH 90 90 0 1 0.46 1 0.47 222472 92 SAFH 91 91 0 1 0.43 1 0.25 222472 93 SAFH 92 92 0 1 0.65 1 0.45 222472 94 SAFH 93 93 0 1 0.58 1 0.34 222472 95 SAFH 94 94 0 1 0.3 1 0.27 222472 96 SAFH 95 95 0 1 0.32 1 0.16 222472 97 SAFH 96 96 0 1 0.3 1 0.29 222472 98 SAFH 97 97 0 1 0.29 1 0.13 222472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 0.36 1 0.16 222472 100 SAFH 99 99 0 1 0.29 1 0.11 222472 101 SAFH 100 100 0 1 0.16 1 0.072 222472 102 SAFH 101 101 0 1 0.41 1 0.19 222472 103 SAFH 102 102 0 1 0.25 1 0.066 222472 104 SAFH 103 103 0 1 0.26 1 0.073 222472 105 SAFH 104 104 0 1 0.21 1 0.041 222472 106 SAFH 105 105 0 1 0.17 1 0.04 222472 107 SAFH 106 106 0 1 0.14 1 0.036 222472 108 SAFH 107 107 0 1 0.15 1 0.026 222472 109 SAFH 108 108 0 1 0.13 1 0.02 222472 110 SAFH 109 109 0 1 0.1 1 0.018 222472 111 SAFH 110 110 0 1 0.066 1 0.017 222472 112 SAFH 111 111 0 1 0.09 1 0.01 222472 113 SAFH 112 112 0 1 0.071 1 0.01 222472 114 SAFH 113 113 0 1 0.092 1 0.009 222472 115 SAFH 114 114 0 1 0.094 1 0.011 222472 116 SAFH 115 115 0 1 0.039 1 0.0051 222472 117 SAFH 116 116 0 1 0.051 1 0.0048 222472 118 SAFH 117 117 0 1 0.061 1 0.0064 222472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 118 118 0 1 0.053 1 0.0049 222472 120 SAFH 119 119 0 1 0.048 1 0.0026 222472 121 SAFH 120 120 0 1 0.037 1 0.0031 222472 122 SAFH 121 121 0 1 0.043 1 0.0026 222472 123 SAFH 122 122 0 1 0.043 1 0.002 222472 124 SAFH 123 123 0 1 0.033 1 0.0014 222472 125 SAFH 124 124 0 1 0.039 1 0.0026 222472 126 SAFH 125 125 0 1 0.026 1 0.001 222472 127 SAFH 126 126 0 1 0.044 1 0.0021 222472 128 SAFH 127 127 0 1 0.025 1 0.00094 222472 129 SAFH 128 128 0 1 0.021 1 0.00095 222472 130 SAFH 129 129 0 1 0.019 1 0.00056 222472 131 SAFH 130 130 0 1 0.02 1 0.00052 222472 132 SAFH 131 131 0 1 0.029 1 0.0012 222472 133 SAFH 132 132 0 1 0.021 1 0.00064 222472 134 SAFH 133 133 0 1 0.013 1 0.00047 222472 135 SAFH 134 134 0 1 0.017 1 0.00047 222472 136 SAFH 135 135 0 1 0.014 1 0.00022 222472 137 SAFH 136 136 0 1 0.015 1 0.00032 222472 138 SAFH 137 137 0 1 0.011 1 0.00022 222472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 138 138 0 1 0.01 1 0.00019 222472 140 SAFH 139 139 0 1 0.0096 1 0.0002 222472 141 SAFH 140 140 0 1 0.011 1 0.00022 222472 142 SAFH 141 141 0 1 0.0074 1 8.9E-05 222472 143 SAFH 142 142 0 1 0.0045 1 0.0001 222472 144 SAFH 143 143 0 1 0.0091 1 0.00011 222472 145 SAFH 144 144 0 1 0.012 1 0.00014 222472 146 SAFH 145 145 0 1 0.0073 1 6.5E-05 222472 147 SAFH 146 146 0 1 0.0061 1 5E-05 222472 148 SAFH 147 147 0 1 0.0069 1 6.2E-05 222472 149 SAFH 148 148 0 1 0.0067 1 3.8E-05 222472 150 SAFH 149 149 0 1 0.0055 1 3.5E-05 222472 151 SAFH 150 150 0 1 0.004 1 2.5E-05 222472 152 SAFH 151 151 0 1 0.0056 1 3E-05 222472 153 SAFH 152 152 0 1 0.0037 1 1.5E-05 222472 154 SAFH 153 153 0 1 0.0035 1 2E-05 222472 155 SAFH 154 154 0 1 0.0037 1 2.1E-05 222472 156 SAFH 155 155 0 1 0.0033 1 1.2E-05 222472 157 SAFH 156 156 0 1 0.0018 1 9.2E-06 222472 158 SAFH 157 157 0 1 0.0021 1 7.7E-06 222472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 158 158 0 1 0.0023 1 9.3E-06 222472 160 SAFH 159 159 0 1 0.002 1 4.5E-06 222472 161 SAFH 160 160 0 1 0.0021 1 5.8E-06 222472 162 SAFH 161 161 0 1 0.0016 1 4.7E-06 222472 163 SAFH 162 162 0 1 0.0015 1 3.1E-06 222472 164 SAFH 163 163 0 1 0.0016 1 2.8E-06 222472 165 SAFH 164 164 0 1 0.0012 1 2.6E-06 222472 166 SAFH 165 165 0 1 0.0011 1 1.6E-06 222472 167 SAFH 166 166 0 1 0.0011 1 1.7E-06 222472 168 SAFH 167 167 0 1 0.001 1 1.3E-06 222472 169 SAFH 168 168 0 1 0.00097 1 1.4E-06 222472 170 SAFJL 169 169 0 1 0.00069 0 8.5E-07 222472 171 SAFJ 168 168 0 0.5 1.2E+03 0 0 1.81476E+06 172 SAFJ 168 168 0 0.3 0 0 0 1.81476E+06 173 SAFG 168 168 0 0.2 1.4E+03 0 0 90674.9 173 FOUND SOLUTION: 90674.9 (NLP) in 5 sec. 174 SAFH 168 168 0 0.2 3.6E+02 1 5E+05 -235579 175 SAFH 169 169 0 0.2 4.2E+02 1 2E+05 -20452.2 176 SAFG 170 170 0 0.2 2.9E+02 0 0 81063.5 176 FOUND SOLUTION: 81063.5 (NLP) in 5 sec. 177 SAFH 170 170 0 0.2 2.8E+02 1 3.1E+05 -99380.3 178 SAFH 171 171 0 0.2 4.7E+02 1 1.8E+05 -12426.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 172 172 0 0.2 2E+02 1 7E+04 42876.5 180 SAFH 173 173 0 0.2 3.4E+02 1 2.3E+05 39379.8 181 SAFH 174 174 0 0.2 2.8E+02 1 2.7E+05 32764 182 SAFH 175 175 0 0.2 5.7E+02 1 3E+05 -34437.4 183 SAFH 176 176 0 0.2 5.1E+02 1 9.7E+04 69014.7 184 SAFH 177 177 0 0.2 4.3E+02 1 1.3E+05 39142.2 185 SAFH 178 178 0 0.2 1.1E+02 1 1.7E+05 52414.9 186 SAFH 179 179 0 0.2 2.7E+02 1 1.2E+05 53286.2 187 SAFH 180 180 0 0.2 4.4E+02 1 1.1E+05 79315.4 188 SAFH 181 181 0 0.2 63 1 5.4E+04 86087.6 189 SAFH 182 182 0 0.2 1.3E+02 1 6.5E+04 90562.6 190 SAFH 183 183 0 0.2 1.8E+02 1 5.5E+04 92430.1 191 SAFH 184 184 0 0.2 1.5E+02 1 2.4E+04 93483.8 192 SAFH 185 185 0 0.2 1.3E+02 1 4.1E+04 97121.2 193 SAFH 186 186 0 0.2 1.3E+02 1 3.2E+04 98279.1 194 SAFH 187 187 0 0.2 1.2E+02 1 1.8E+04 98324.8 195 SAFH 188 188 0 0.2 89 1 2.2E+04 99084.6 196 SAFH 189 189 0 0.2 81 1 1.5E+04 100695 197 SAFH 190 190 0 0.2 77 1 8.5E+03 100857 198 SAFH 191 191 0 0.2 1E+02 1 1.3E+04 102343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 192 192 0 0.2 1.2E+02 1 2.3E+04 103754 200 SAFH 193 193 0 0.2 78 1 1E+04 104258 201 SAFH 194 194 0 0.1 49 1 6.2E+03 104599 202 SAFH 195 195 0 0.1 42 1 4.8E+03 104822 203 SAFH 196 196 0 0.1 42 1 8.9E+03 105422 204 SAFH 197 197 0 0.1 37 1 3.6E+03 105906 205 SAFH 198 198 0 0.1 61 1 3.8E+03 106306 206 SAFJ 199 199 0 0.1 1.4E+03 0 0 1.81476E+06 207 AFH 199 199 0 0 1.2E+03 1 1.9E+05 -16638.6 208 AFG 200 200 0 0 3.8E+02 0 0 73123.6 208 FOUND SOLUTION: 73123.6 (NLP) in 11 sec. 209 AFH 200 200 0 0 1.9E+02 1 1.2E+05 2154.2 210 AFG 201 201 0 0 2.4E+02 0 0 67224.9 210 FOUND SOLUTION: 67224.9 (NLP) in 11 sec. 211 AFH 201 201 0 0 1.1E+02 1 6E+04 17497.4 212 AFG 202 202 0 0 1.6E+02 0 0 67064.1 212 FOUND SOLUTION: 67064.1 (NLP) in 13 sec. 213 AFH 202 202 0 0 2.2E+02 1 9.9E+04 34591.4 214 AFH 203 203 0 0 2.3E+02 1 5.6E+04 36622 215 AFH 204 204 0 0 2.3E+02 1 6.1E+04 39583.2 216 AFH 205 205 0 0 2.1E+02 1 4.4E+04 41310.1 217 AFH 206 206 0 0 2.1E+02 1 4.7E+04 43682.1 218 AFH 207 207 0 0 2E+02 1 3.2E+04 43770.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 208 208 0 0 2.3E+02 1 2.8E+04 45387.1 220 AFG 209 209 0 0 1.6E+02 0 0 65261.9 220 FOUND SOLUTION: 65261.9 (NLP) in 18 sec. 221 AFH 209 209 0 0 1.3E+02 1 5.8E+04 47698.7 222 AFH 210 210 0 0 1.5E+02 1 3.3E+04 48374.3 223 AFH 211 211 0 0 2E+02 1 2.9E+04 50472.5 224 AFG 212 212 0 0 1.3E+02 0 0 64748.8 224 FOUND SOLUTION: 64748.8 (NLP) in 21 sec. 225 AFH 212 212 0 0 77 1 2E+04 51351.5 226 AFH 213 213 0 0 1.9E+02 1 2.7E+04 52520.7 227 AFH 214 214 0 0 1.8E+02 1 2.4E+04 52601.4 228 AFH 215 215 0 0 1.6E+02 1 1.8E+04 52880.6 229 AFH 216 216 0 0 1.5E+02 1 1.4E+04 54402.1 230 AFH 217 217 0 0 1.8E+02 1 1.7E+04 56073.8 231 AFH 218 218 0 0 1.4E+02 1 1.5E+04 56482.4 232 AFH 219 219 0 0 1.6E+02 1 1.3E+04 57070.9 233 AFH 220 220 0 0 1.2E+02 1 1E+04 57890.6 234 AFH 221 221 0 0 1.1E+02 1 1.2E+04 57945.5 235 AFH 222 222 0 0 1.5E+02 1 1.8E+04 58523 236 AFH 223 223 0 0 1.2E+02 1 8.6E+03 58644.9 237 AFH 224 224 0 0 1.5E+02 1 1.3E+04 59121 238 AFH 225 225 0 0 1.7E+02 1 1.1E+04 59899.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 226 226 0 0 1.6E+02 1 7.5E+03 60063.5 240 AFH 227 227 0 0 1.3E+02 1 1.1E+04 60377.8 241 AFH 228 228 0 0 1.3E+02 1 1.2E+04 60746.2 242 AFH 229 229 0 0 1.6E+02 1 9E+03 60748.4 243 AFH 230 230 0 0 1E+02 1 5.6E+03 60868.8 244 AFH 231 231 0 0 1E+02 1 5.4E+03 61033.6 245 AFH 232 232 0 0 1.5E+02 1 1.3E+04 61320.4 246 AFH 233 233 0 0 1.2E+02 1 8.7E+03 61374.9 247 AFH 234 234 0 0 1.3E+02 1 9.4E+03 61398.6 248 AFH 235 235 0 0 1.5E+02 1 8.5E+03 61477.5 249 AFH 236 236 0 0 1.4E+02 1 7.1E+03 61507.5 250 AFH 237 237 0 0 1.1E+02 1 5.6E+03 61513.8 251 AFH 238 238 0 0 62 1 5.1E+03 61588.4 252 AFH 239 239 0 0 84 1 3.6E+03 61925.5 253 AFH 240 240 0 0 1.1E+02 1 7E+03 61976.9 254 AFH 241 241 0 0 73 1 9.8E+03 62141.9 255 AFH 242 242 0 0 1E+02 1 4.1E+03 62190.5 256 AFH 243 243 0 0 1.2E+02 1 7.5E+03 62574.4 257 AFH 244 244 0 0 99 1 2.8E+03 62623.4 258 AFH 245 245 0 0 1.1E+02 1 5.8E+03 62684.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 246 246 0 0 93 1 5.7E+03 62931.5 260 AFH 247 247 0 0 1.3E+02 1 5.6E+03 62956.2 261 AFH 248 248 0 0 1.4E+02 1 5.9E+03 62958.3 262 AFH 249 249 0 0 94 1 3.7E+03 62968.4 263 AFH 250 250 0 0 1.2E+02 1 6E+03 63128.6 264 AFH 251 251 0 0 1.2E+02 1 3.3E+03 63195.3 265 AFH 252 252 0 0 73 1 3.6E+03 63216.8 266 AFH 253 253 0 0 1.6E+02 1 1.1E+04 63222.3 267 AFH 254 254 0 0 1.5E+02 1 4.5E+03 63297.8 268 AFH 255 255 0 0 61 1 2.5E+03 63346.9 269 AFH 256 256 0 0 86 1 3.8E+03 63363.4 270 AFH 257 257 0 0 85 1 3.1E+03 63368.3 271 AFH 258 258 0 0 77 1 2E+03 63376.4 272 AFH 259 259 0 0 70 1 2.5E+03 63473.5 273 AFH 260 260 0 0 1.1E+02 1 4.1E+03 63515.9 274 AFH 261 261 0 0 86 1 2.9E+03 63558.7 275 AFH 262 262 0 0 1.1E+02 1 5.1E+03 63572.3 276 AFH 263 263 0 0 1.1E+02 1 2E+03 63629.7 277 AFH 264 264 0 0 46 1 1.6E+03 63645.4 278 AFH 265 265 0 0 80 1 2.4E+03 63734.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 266 266 0 0 50 1 1.7E+03 63790 280 AFH 267 267 0 0 1.1E+02 1 4.2E+03 63841 281 AFH 268 268 0 0 89 1 2.2E+03 63844.3 282 AFH 269 269 0 0 89 1 2E+03 63854.4 283 AFH 270 270 0 0 39 1 1.4E+03 63859.5 284 AFH 271 271 0 0 96 1 2.3E+03 63880.7 285 AFH 272 272 0 0 93 1 1.9E+03 63943.7 286 AFH 273 273 0 0 77 1 1.3E+03 63963.1 287 AFH 274 274 0 0 96 1 3.2E+03 63983.7 288 AFH 275 275 0 0 1.1E+02 1 7.9E+03 64015.9 289 AFH 276 276 0 0 1.3E+02 1 8.8E+02 64037.2 290 AFH 277 277 0 0 47 1 1.6E+03 64062.9 291 AFH 278 278 0 0 97 1 3.3E+03 64086.8 292 AFH 279 279 0 0 1.2E+02 1 3E+03 64088.9 293 AFH 280 280 0 0 95 1 1.5E+03 64142.9 294 AFH 281 281 0 0 40 1 1.1E+03 64153.6 295 AFH 282 282 0 0 58 1 1.4E+03 64180.7 296 AFH 283 283 0 0 79 1 7.8E+02 64233.5 297 AFH 284 284 0 0 43 1 7.6E+02 64279.4 298 AFH 285 285 0 0 63 1 1.7E+03 64310 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 286 286 0 0 78 1 2.1E+03 64373.6 300 AFH 287 287 0 0 34 1 1.5E+03 64387.8 301 AFH 288 288 0 0 77 1 2.7E+03 64393.6 302 AFH 289 289 0 0 85 1 7.5E+02 64396.3 303 AFH 290 290 0 0 33 1 9E+02 64429.9 304 AFH 291 291 0 0 59 1 2.1E+03 64444.9 305 AFH 292 292 0 0 70 1 8E+02 64446.4 306 AFH 293 293 0 0 25 1 5.3E+02 64459.4 307 AFH 294 294 0 0 22 1 5.2E+02 64473.1 308 AFH 295 295 0 0 49 1 8.8E+02 64493.9 309 AFH 296 296 0 0 47 1 6.3E+02 64495.5 310 AFH 297 297 0 0 59 1 1.5E+03 64503.1 311 AFH 298 298 0 0 76 1 1.6E+03 64505.9 312 AFH 299 299 0 0 84 1 3.2E+02 64509.4 313 AFH 300 300 0 0 1.2E+02 1 7.3E+03 64515.9 314 AFH 301 301 0 0 1.2E+02 1 5E+02 64516 315 AFH 302 302 0 0 74 1 1.5E+03 64536.6 316 AFH 303 303 0 0 74 1 3.4E+02 64542 317 AFH 304 304 0 0 47 1 1.4E+03 64542.4 318 AFH 305 305 0 0 64 1 1.6E+03 64542.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 306 306 0 0 1.3E+02 1 7.1E+03 64547.4 320 AFH 307 307 0 0 1.1E+02 1 1.5E+03 64566.5 321 AFH 308 308 0 0 66 1 5E+02 64569 322 AFH 309 309 0 0 52 1 1.2E+03 64571 323 AFH 310 310 0 0 31 1 7.5E+02 64572.8 324 AFH 311 311 0 0 31 1 7.6E+02 64577 325 AFH 312 312 0 0 72 1 1E+03 64578.3 326 AFH 313 313 0 0 44 1 4.1E+02 64580.3 327 AFH 314 314 0 0 39 1 4.8E+02 64596.2 328 AFH 315 315 0 0 34 1 2.9E+02 64601.5 329 AFH 316 316 0 0 19 1 3E+02 64603.3 330 AFH 317 317 0 0 16 1 2.1E+02 64605.6 331 AFH 318 318 0 0 64 1 9E+02 64611.4 332 AFH 319 319 0 0 75 1 8.1E+02 64620.1 333 AFH 320 320 0 0 78 1 1E+03 64627.2 334 AFH 321 321 0 0 46 1 1.7E+02 64638 335 AFH 322 322 0 0 45 1 5.4E+02 64638.1 336 AFH 323 323 0 0 47 1 2.1E+02 64655.7 337 AFH 324 324 0 0 46 1 4.9E+02 64656.3 338 AFH 325 325 0 0 42 1 1.4E+02 64657.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 326 326 0 0 11 1 1.7E+02 64663.9 340 AFH 327 327 0 0 12 1 1.6E+02 64668.8 341 AFH 328 328 0 0 64 1 1.2E+03 64670.2 342 AFH 329 329 0 0 61 1 1.1E+02 64680.9 343 AFH 330 330 0 0 10 1 85 64682 344 AFH 331 331 0 0 13 1 1.4E+02 64685.7 345 AFH 332 332 0 0 47 1 7.9E+02 64689.5 346 AFH 333 333 0 0 88 1 9.7E+02 64699.4 347 AFH 334 334 0 0 76 1 5.1E+02 64701.4 348 AFH 335 335 0 0 47 1 1.5E+02 64704.2 349 AFH 336 336 0 0 47 1 1E+03 64704.7 350 AFH 337 337 0 0 54 1 1E+02 64705.5 351 AFH 338 338 0 0 9.2 1 1E+02 64705.7 352 AFH 339 339 0 0 6.1 1 65 64706.5 353 AFH 340 340 0 0 1E+02 1 3.7E+03 64707.1 354 AFH 341 341 0 0 1.2E+02 1 5.2E+02 64707.8 355 AFH 342 342 0 0 28 1 3.4E+02 64710.6 356 AFH 343 343 0 0 29 1 4.3E+02 64715.7 357 AFH 344 344 0 0 51 1 75 64716.5 358 AFH 345 345 0 0 7.4 1 50 64718.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 346 346 0 0 46 1 5.8E+02 64720.3 360 AFH 347 347 0 0 24 1 2.6E+02 64721.7 361 AFH 348 348 0 0 38 1 56 64721.9 362 AFH 349 349 0 0 8.3 1 57 64723.8 363 AFH 350 350 0 0 38 1 5.3E+02 64724.3 364 AFH 351 351 0 0 38 1 42 64725.4 365 AFH 352 352 0 0 5.4 1 33 64725.8 366 AFH 353 353 0 0 7.1 1 47 64727.1 367 AFH 354 354 0 0 6.6 1 30 64728.2 368 AFH 355 355 0 0 5.1 1 28 64730.8 369 AFH 356 356 0 0 5.7 1 34 64735.8 370 AFH 357 357 0 0 34 1 3.8E+02 64736.4 371 AFH 358 358 0 0 33 1 22 64737.1 372 AFH 359 359 0 0 3.5 1 18 64737.1 373 AFH 360 360 0 0 7.8 1 21 64738.3 374 AFH 361 361 0 0 41 1 3.5E+02 64738.8 375 AFH 362 362 0 0 47 1 40 64739 376 AFH 363 363 0 0 2.9 1 16 64739.1 377 AFH 364 364 0 0 2.9 1 13 64739.4 378 AFH 365 365 0 0 3 1 11 64741.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 366 366 0 0 6.4 1 23 64742.1 380 AFH 367 367 0 0 2.7 1 11 64742.5 381 AFH 368 368 0 0 3.4 1 10 64743.6 382 AFH 369 369 0 0 4.2 1 7.4 64743.9 383 AFH 370 370 0 0 4.6 1 9.9 64744.3 384 AFH 371 371 0 0 4.9 1 6.7 64744.6 385 AFH 372 372 0 0 2.4 1 6.1 64744.9 386 AFH 373 373 0 0 37 1 4.5E+02 64745.1 387 AFH 374 374 0 0 35 1 6.3 64745.3 388 AFH 375 375 0 0 1.8 1 6 64745.8 389 AFH 376 376 0 0 4.3 1 4.8 64745.9 390 AFH 377 377 0 0 4 1 3.3 64746.2 391 AFH 378 378 0 0 3.9 1 4.1 64746.9 392 AFH 379 379 0 0 1.9 1 4 64747 393 AFH 380 380 0 0 1.9 1 2.9 64747.2 394 AFH 381 381 0 0 1.7 1 2.9 64747.5 395 AFH 382 382 0 0 1.7 1 2.6 64747.5 396 AFH 383 383 0 0 1.6 1 2.1 64747.6 397 AFH 384 384 0 0 1.3 1 2.5 64747.6 398 AFH 385 385 0 0 1.5 1 2.7 64747.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 386 386 0 0 1.5 1 1.7 64747.9 400 AFH 387 387 0 0 1.2 1 1.5 64747.9 401 AFH 388 388 0 0 1.2 1 1.5 64747.9 402 AFH 389 389 0 0 1.3 1 1.4 64748.1 403 AFH 390 390 0 0 1.1 1 1.1 64748.1 404 AFH 391 391 0 0 2.8 1 0.84 64748.2 405 AFH 392 392 0 0 3 1 1.2 64748.2 406 AFH 393 393 0 0 1 1 1.6 64748.3 407 AFH 394 394 0 0 0.78 1 0.74 64748.3 408 AFH 395 395 0 0 2.9 1 0.91 64748.4 409 AFH 396 396 0 0 2.7 1 0.55 64748.5 410 AFH 397 397 0 0 0.87 1 0.74 64748.5 411 AFH 398 398 0 0 0.72 1 0.67 64748.5 412 AFH 399 399 0 0 2.7 1 0.5 64748.5 413 AFH 400 400 0 0 2.7 1 0.37 64748.6 414 AFH 401 401 0 0 0.86 1 0.63 64748.6 415 AFH 402 402 0 0 0.75 1 0.4 64748.6 416 AFH 403 403 0 0 0.73 1 0.43 64748.6 417 AFH 404 404 0 0 0.61 1 0.43 64748.6 418 AFH 405 405 0 0 0.58 1 0.27 64748.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 406 406 0 0 0.64 1 0.35 64748.6 420 AFH 407 407 0 0 0.53 1 0.23 64748.7 421 AFH 408 408 0 0 0.46 1 0.25 64748.7 422 AFH 409 409 0 0 0.43 1 0.25 64748.7 423 AFH 410 410 0 0 0.59 1 0.2 64748.7 424 AFH 411 411 0 0 0.4 1 0.18 64748.7 425 AFH 412 412 0 0 0.43 1 0.19 64748.7 426 AFH 413 413 0 0 0.32 1 0.13 64748.7 427 AFH 414 414 0 0 0.36 1 0.12 64748.7 428 AFH 415 415 0 0 0.38 1 0.14 64748.7 429 AFH 416 416 0 0 0.31 1 0.11 64748.8 430 AFH 417 417 0 0 0.35 1 0.1 64748.8 431 AFH 418 418 0 0 0.27 1 0.13 64748.8 432 AFH 419 419 0 0 0.2 1 0.068 64748.8 433 AFH 420 420 0 0 0.29 1 0.1 64748.8 434 AFH 421 421 0 0 0.25 1 0.073 64748.8 435 AFH 422 422 0 0 0.21 1 0.07 64748.8 436 AFH 423 423 0 0 0.22 1 0.058 64748.8 437 AFH 424 424 0 0 0.36 1 0.1 64748.8 438 AFH 425 425 0 0 0.22 1 0.052 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 426 426 0 0 0.28 1 0.055 64748.8 440 AFH 427 427 0 0 0.22 1 0.048 64748.8 441 AFH 428 428 0 0 0.18 1 0.034 64748.8 442 AFH 429 429 0 0 2.2 1 0.035 64748.8 443 AFH 430 430 0 0 2.2 1 0.036 64748.8 444 AFH 431 431 0 0 0.22 1 0.05 64748.8 445 AFH 432 432 0 0 0.2 1 0.029 64748.8 446 AFH 433 433 0 0 0.17 1 0.022 64748.8 447 AFH 434 434 0 0 0.21 1 0.047 64748.8 448 AFH 435 435 0 0 0.24 1 0.038 64748.8 449 AFH 436 436 0 0 0.15 1 0.018 64748.8 450 AFH 437 437 0 0 0.15 1 0.032 64748.8 451 AFH 438 438 0 0 0.14 1 0.02 64748.8 452 AFH 439 439 0 0 0.13 1 0.016 64748.8 453 AFH 440 440 0 0 0.13 1 0.016 64748.8 454 AFH 441 441 0 0 0.13 1 0.015 64748.8 455 AFH 442 442 0 0 0.13 1 0.016 64748.8 456 AFH 443 443 0 0 0.097 1 0.012 64748.8 457 AFH 444 444 0 0 0.089 1 0.0083 64748.8 458 AFH 445 445 0 0 0.13 1 0.013 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 446 446 0 0 0.092 1 0.012 64748.8 460 AFH 447 447 0 0 0.096 1 0.0091 64748.8 461 AFH 448 448 0 0 0.075 1 0.0068 64748.8 462 AFH 449 449 0 0 0.089 1 0.012 64748.8 463 AFH 450 450 0 0 0.08 1 0.0066 64748.8 464 AFH 451 451 0 0 0.083 1 0.007 64748.8 465 AFH 452 452 0 0 0.078 1 0.0072 64748.8 466 AFH 453 453 0 0 0.077 1 0.0057 64748.8 467 AFH 454 454 0 0 0.049 1 0.0037 64748.8 468 AFH 455 455 0 0 0.068 1 0.0053 64748.8 469 AFH 456 456 0 0 0.067 1 0.0052 64748.8 470 AFH 457 457 0 0 0.047 1 0.0043 64748.8 471 AFH 458 458 0 0 0.081 1 0.0045 64748.8 472 AFH 459 459 0 0 0.067 1 0.0038 64748.8 473 AFH 460 460 0 0 0.072 1 0.0049 64748.8 474 AFH 461 461 0 0 0.047 1 0.0022 64748.8 475 AFH 462 462 0 0 0.062 1 0.0035 64748.8 476 AFH 463 463 0 0 0.062 1 0.0031 64748.8 477 AFH 464 464 0 0 0.052 1 0.0033 64748.8 478 AFH 465 465 0 0 0.048 1 0.0019 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 466 466 0 0 0.043 1 0.003 64748.8 480 AFH 467 467 0 0 0.053 1 0.0021 64748.8 481 AFH 468 468 0 0 0.068 1 0.0042 64748.8 482 AFH 469 469 0 0 0.043 1 0.0017 64748.8 483 AFH 470 470 0 0 0.042 1 0.0022 64748.8 484 AFH 471 471 0 0 0.04 1 0.0014 64748.8 485 AFH 472 472 0 0 0.055 1 0.002 64748.8 486 AFH 473 473 0 0 0.038 1 0.0012 64748.8 487 AFH 474 474 0 0 0.039 1 0.0014 64748.8 488 AFH 475 475 0 0 0.031 1 0.001 64748.8 489 AFH 476 476 0 0 0.039 1 0.00097 64748.8 490 AFH 477 477 0 0 0.032 1 0.0008 64748.8 491 AFH 478 478 0 0 0.03 1 0.00086 64748.8 492 AFH 479 479 0 0 0.021 1 0.00074 64748.8 493 AFH 480 480 0 0 0.023 1 0.0011 64748.8 494 AFH 481 481 0 0 0.017 1 0.00049 64748.8 495 AFH 482 482 0 0 0.03 1 0.0007 64748.8 496 AFH 483 483 0 0 0.02 1 0.00069 64748.8 497 AFH 484 484 0 0 0.018 1 0.00044 64748.8 498 AFH 485 485 0 0 0.024 1 0.00049 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 486 486 0 0 0.024 1 0.00057 64748.8 500 AFH 487 487 0 0 0.02 1 0.00035 64748.8 501 AFH 488 488 0 0 0.023 1 0.00041 64748.8 502 AFH 489 489 0 0 0.018 1 0.00027 64748.8 503 AFH 490 490 0 0 0.019 1 0.00027 64748.8 504 AFH 491 491 0 0 0.018 1 0.00035 64748.8 505 AFH 492 492 0 0 0.017 1 0.00021 64748.8 506 AFH 493 493 0 0 0.018 1 0.00025 64748.8 507 AFH 494 494 0 0 0.014 1 0.00019 64748.8 508 AFH 495 495 0 0 0.015 1 0.00022 64748.8 509 AFH 496 496 0 0 0.016 1 0.00026 64748.8 510 AFH 497 497 0 0 0.01 1 0.00011 64748.8 511 AFH 498 498 0 0 0.014 1 0.00021 64748.8 512 AFH 499 499 0 0 0.016 1 0.00021 64748.8 513 AFH 500 500 0 0 0.013 1 0.00022 64748.8 514 AFH 501 501 0 0 0.01 1 0.00012 64748.8 515 AFH 502 502 0 0 0.015 1 0.00015 64748.8 516 AFH 503 503 0 0 0.013 1 0.0001 64748.8 517 AFH 504 504 0 0 0.011 1 0.00011 64748.8 518 AFH 505 505 0 0 0.012 1 0.00011 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 506 506 0 0 0.0087 1 8.7E-05 64748.8 520 AFH 507 507 0 0 0.0087 1 7.4E-05 64748.8 521 AFH 508 508 0 0 0.006 1 6.8E-05 64748.8 522 AFH 509 509 0 0 0.0071 1 4.9E-05 64748.8 523 AFH 510 510 0 0 0.01 1 8.1E-05 64748.8 524 AFH 511 511 0 0 0.008 1 6.7E-05 64748.8 525 AFH 512 512 0 0 0.0076 1 5.3E-05 64748.8 526 AFH 513 513 0 0 0.01 1 7.5E-05 64748.8 527 AFH 514 514 0 0 0.006 1 3.3E-05 64748.8 528 AFH 515 515 0 0 0.0078 1 5.6E-05 64748.8 529 AFH 516 516 0 0 0.0048 1 3.5E-05 64748.8 530 AFH 517 517 0 0 0.0073 1 4.3E-05 64748.8 531 AFH 518 518 0 0 0.0072 1 5E-05 64748.8 532 AFH 519 519 0 0 0.0046 1 2.6E-05 64748.8 533 AFH 520 520 0 0 0.0045 1 2.9E-05 64748.8 534 AFH 521 521 0 0 0.0056 1 2.6E-05 64748.8 535 AFH 522 522 0 0 0.0071 1 4.2E-05 64748.8 536 AFH 523 523 0 0 0.005 1 2E-05 64748.8 537 AFH 524 524 0 0 0.005 1 2.4E-05 64748.8 538 AFH 525 525 0 0 0.0051 1 2.2E-05 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 526 526 0 0 0.0036 1 1.3E-05 64748.8 540 AFH 527 527 0 0 0.0045 1 1.9E-05 64748.8 541 AFH 528 528 0 0 0.0033 1 1.5E-05 64748.8 542 AFH 529 529 0 0 0.0044 1 1.3E-05 64748.8 543 AFH 530 530 0 0 0.004 1 1.4E-05 64748.8 544 AFH 531 531 0 0 0.0044 1 1.5E-05 64748.8 545 AFH 532 532 0 0 0.0033 1 8.8E-06 64748.8 546 AFH 533 533 0 0 0.0028 1 9.3E-06 64748.8 547 AFH 534 534 0 0 0.0021 1 7.3E-06 64748.8 548 AFH 535 535 0 0 0.0032 1 9.5E-06 64748.8 549 AFH 536 536 0 0 0.0035 1 9.2E-06 64748.8 550 AFH 537 537 0 0 0.0028 1 5.7E-06 64748.8 551 AFH 538 538 0 0 0.0024 1 6.2E-06 64748.8 552 AFH 539 539 0 0 0.0021 1 6E-06 64748.8 553 AFH 540 540 0 0 0.0023 1 4.7E-06 64748.8 554 AFH 541 541 0 0 0.002 1 4.2E-06 64748.8 555 AFH 542 542 0 0 0.002 1 3.6E-06 64748.8 556 AFH 543 543 0 0 0.0027 1 5.6E-06 64748.8 557 AFH 544 544 0 0 0.0018 1 3.1E-06 64748.8 558 AFH 545 545 0 0 0.0022 1 3.7E-06 64748.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 AFH 546 546 0 0 0.0018 1 2.4E-06 64748.8 560 AFH 547 547 0 0 0.0012 1 3E-06 64748.8 561 AFH 548 548 0 0 0.00096 1 2E-06 64748.8 562 AFH 549 549 0 0 0.002 1 3.1E-06 64748.8 563 AFH 550 550 0 0 0.0014 1 1.6E-06 64748.8 564 AFH 551 551 0 0 0.0016 1 1.9E-06 64748.8 565 AFH 552 552 0 0 0.0012 1 2E-06 64748.8 566 AFH 553 553 0 0 0.0015 1 1.9E-06 64748.8 567 AFH 554 554 0 0 0.0011 1 1.3E-06 64748.8 568 AFH 555 555 0 0 0.0011 1 1.1E-06 64748.8 569 AFH 556 556 0 0 0.0011 1 1.4E-06 64748.8 570 AFH 557 557 0 0 0.00082 1 1.1E-06 64748.8 571 AFJ 558 558 0 0 0.00092 0 9.6E-07 64748.8 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.54_SLay07M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 64748.825292354660633 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 64748.825292354660633 Max constraint (1) : -0 Time used (seconds) : 431.61 Time limit (seconds) : 7200 Iterations used : 571 Iteration limit : -1 Function evaluations : 741 Gradient evaluations : 559 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.6 % MIP time usage : 99.4 % Optimal/total MIPs : 365/571 NLP solver calls : 572 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay07M.gms(489) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay07M.gms Stop 09/14/12 14:45:19 elapsed 0:07:11.647 @04 1347626719 ----------------------------- Fr 14. Sep 14:45:19 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay08H.gms =========== ----------------------------- Fr 14. Sep 14:38:09 CEST 2012 ----------------------------- @03 1347626289 --- Job SLay08H.gms Start 09/14/12 14:38:09 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay08H.gms(1864) 2 Mb --- Starting execution: elapsed 0:00:00.019 --- SLay08H.gms(1862) 3 Mb --- Generating MIQCP model m --- SLay08H.gms(1864) 6 Mb --- 813 rows 633 columns 2,313 non-zeroes --- 67 nl-code 16 nl-non-zeroes --- 112 discrete-columns --- SLay08H.gms(1864) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.030 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.55_SLay08H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2313 elements of which 1% are non-linear(NL) included in 813 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 16 from a total of 633 variables: Continuous(521), Binary(112), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=134 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 6.2E+05 NA 1 SAFG 1 1 0 1 2.4E+03 0 0 187124 1 FOUND SOLUTION: 187124 (NLP) in 1 sec. 2 SAFH 1 1 0 1 1.7E+03 1 2.8E+06 -1.55311E+06 3 SAFH 2 2 0 1 2E+03 1 1.3E+06 -847232 4 SAFH 3 3 0 1 1.8E+03 1 1.3E+06 -407350 5 SAFH 4 4 0 1 1.6E+03 1 8E+05 -247173 6 SAFH 5 5 0 1 1.5E+03 1 7.7E+05 -121017 7 SAFH 6 6 0 1 9.7E+02 1 3.6E+05 -111283 8 SAFH 7 7 0 1 1.1E+03 1 4.5E+05 46591.9 9 SAFH 8 8 0 1 7.5E+02 1 2.2E+05 65873.6 10 SAFH 9 9 0 1 8.8E+02 1 2E+05 112382 11 SAFH 10 10 0 1 8E+02 1 1.7E+05 126575 12 SAFH 11 11 0 1 5.4E+02 1 7.5E+04 128708 13 SAFH 12 12 0 1 6E+02 1 9.8E+04 144544 14 SAFH 13 13 0 1 4.6E+02 1 5.6E+04 157057 15 SAFG 14 14 0 1 2.5E+02 0 0 187124 15 FOUND SOLUTION: 187124 (NLP) in 2 sec. 16 SAFH 14 14 0 1 1.6E+02 1 4E+04 161872 17 SAFH 15 15 0 1 2.2E+02 1 1.9E+04 170678 18 SAFH 16 16 0 1 3.8E+02 1 2.8E+04 173057 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 17 17 0 1 2.3E+02 1 1.2E+04 180227 20 SAFH 18 18 0 1 1.8E+02 1 1.2E+04 181442 21 SAFH 19 19 0 1 1.6E+02 1 7.6E+03 181561 22 SAFH 20 20 0 1 1.3E+02 1 4.2E+03 183803 23 SAFH 21 21 0 1 1E+02 1 5.1E+03 184847 24 SAFH 22 22 0 1 58 1 2.1E+03 185301 25 SAFH 23 23 0 1 59 1 1.9E+03 186343 26 SAFH 24 24 0 1 72 1 1.8E+03 186364 27 SAFH 25 25 0 1 44 1 9.1E+02 186505 28 SAFH 26 26 0 1 71 1 1.1E+03 186528 29 SAFH 27 27 0 1 43 1 5.5E+02 186684 30 SAFH 28 28 0 1 42 1 4.8E+02 186848 31 SAFH 29 29 0 1 37 1 4.7E+02 186856 32 SAFH 30 30 0 1 21 1 2.3E+02 186926 33 SAFH 31 31 0 1 29 1 2.7E+02 187002 34 SAFH 32 32 0 1 28 1 2E+02 187016 35 SAFH 33 33 0 1 22 1 1.2E+02 187047 36 SAFH 34 34 0 1 18 1 1.1E+02 187048 37 SAFH 35 35 0 1 12 1 83 187073 38 SAFH 36 36 0 1 15 1 57 187084 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 37 37 0 1 11 1 44 187087 40 SAFH 38 38 0 1 9.7 1 31 187106 41 SAFH 39 39 0 1 11 1 28 187111 42 SAFH 40 40 0 1 6.9 1 17 187112 43 SAFH 41 41 0 1 5.2 1 16 187112 44 SAFH 42 42 0 1 6.7 1 14 187117 45 SAFH 43 43 0 1 7.5 1 17 187118 46 SAFH 44 44 0 1 5.5 1 6.4 187118 47 SAFH 45 45 0 1 6.9 1 10 187119 48 SAFH 46 46 0 1 4.9 1 5.4 187120 49 SAFH 47 47 0 1 4.5 1 5.4 187121 50 SAFH 48 48 0 1 3.5 1 3.1 187122 51 SAFH 49 49 0 1 1.9 1 2.3 187122 52 SAFH 50 50 0 1 2.4 1 2.1 187122 53 SAFH 51 51 0 1 2.1 1 1.6 187122 54 SAFH 52 52 0 1 1.9 1 0.92 187123 55 SAFH 53 53 0 1 1.9 1 1.2 187123 56 SAFH 54 54 0 1 1.5 1 0.77 187123 57 SAFH 55 55 0 1 1.3 1 0.46 187123 58 SAFH 56 56 0 1 1.5 1 0.42 187123 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 57 57 0 1 1.2 1 0.33 187123 60 SAFH 58 58 0 1 0.95 1 0.28 187123 61 SAFH 59 59 0 1 0.48 1 0.15 187123 62 SAFH 60 60 0 1 1.1 1 0.27 187123 63 SAFH 61 61 0 1 0.79 1 0.12 187123 64 SAFH 62 62 0 1 0.79 1 0.14 187123 65 SAFH 63 63 0 1 0.55 1 0.099 187123 66 SAFH 64 64 0 1 0.51 1 0.086 187123 67 SAFH 65 65 0 1 0.36 1 0.045 187123 68 SAFH 66 66 0 1 0.38 1 0.053 187123 69 SAFH 67 67 0 1 0.4 1 0.049 187123 70 SAFH 68 68 0 1 0.26 1 0.023 187123 71 SAFH 69 69 0 1 0.31 1 0.032 187123 72 SAFH 70 70 0 1 0.29 1 0.026 187124 73 SAFH 71 71 0 1 0.19 1 0.012 187124 74 SAFH 72 72 0 1 0.4 1 0.038 187124 75 SAFH 73 73 0 1 0.24 1 0.013 187124 76 SAFH 74 74 0 1 0.23 1 0.012 187124 77 SAFH 75 75 0 1 0.14 1 0.0058 187124 78 SAFH 76 76 0 1 0.19 1 0.0095 187124 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 77 77 0 1 0.13 1 0.0053 187124 80 SAFH 78 78 0 1 0.11 1 0.0039 187124 81 SAFH 79 79 0 1 0.085 1 0.0034 187124 82 SAFH 80 80 0 1 0.072 1 0.0018 187124 83 SAFH 81 81 0 1 0.14 1 0.0045 187124 84 SAFH 82 82 0 1 0.058 1 0.0023 187124 85 SAFH 83 83 0 1 0.094 1 0.003 187124 86 SAFH 84 84 0 1 0.078 1 0.0013 187124 87 SAFH 85 85 0 1 0.055 1 0.0014 187124 88 SAFH 86 86 0 1 0.058 1 0.00072 187124 89 SAFH 87 87 0 1 0.064 1 0.0011 187124 90 SAFH 88 88 0 1 0.051 1 0.00071 187124 91 SAFH 89 89 0 1 0.032 1 0.00039 187124 92 SAFH 90 90 0 1 0.042 1 0.00063 187124 93 SAFH 91 91 0 1 0.029 1 0.00026 187124 94 SAFH 92 92 0 1 0.042 1 0.00041 187124 95 SAFH 93 93 0 1 0.029 1 0.00021 187124 96 SAFH 94 94 0 1 0.022 1 0.00015 187124 97 SAFH 95 95 0 1 0.022 1 0.00012 187124 98 SAFH 96 96 0 1 0.016 1 8.3E-05 187124 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 97 97 0 1 0.018 1 7.1E-05 187124 100 SAFH 98 98 0 1 0.012 1 4.8E-05 187124 101 SAFH 99 99 0 1 0.0097 1 3.9E-05 187124 102 SAFH 100 100 0 1 0.0098 1 2.7E-05 187124 103 SAFH 101 101 0 1 0.0095 1 2.2E-05 187124 104 SAFH 102 102 0 1 0.0069 1 1.5E-05 187124 105 SAFH 103 103 0 1 0.0078 1 1.3E-05 187124 106 SAFH 104 104 0 1 0.0066 1 8.6E-06 187124 107 SAFH 105 105 0 1 0.0061 1 1.1E-05 187124 108 SAFH 106 106 0 1 0.0033 1 4.7E-06 187124 109 SAFH 107 107 0 1 0.0044 1 4.7E-06 187124 110 SAFH 108 108 0 1 0.0047 1 6.1E-06 187124 111 SAFH 109 109 0 1 0.0024 1 2.4E-06 187124 112 SAFH 110 110 0 1 0.0027 1 3.5E-06 187124 113 SAFH 111 111 0 1 0.0022 1 1.7E-06 187124 114 SAFH 112 112 0 1 0.003 1 1.8E-06 187124 115 SAFH 113 113 0 1 0.002 1 1.2E-06 187124 116 SAFJL 114 114 0 1 0.0012 0 7.4E-07 187124 117 SAFG 113 113 0 0.5 2.8E+03 0 0 103273 117 FOUND SOLUTION: 103273 (NLP) in 6 sec. 118 SAFH 113 113 0 0.5 5E+02 1 2.8E+05 -85889 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 114 114 0 0.5 2.8E+03 1 2.3E+05 -45523.9 120 SAFH 115 115 0 0.5 2.4E+03 1 3E+05 -24723 121 SAFH 116 116 0 0.5 2.5E+03 1 1.8E+05 -16761.2 122 SAFG 117 117 0 0.5 1.8E+03 0 0 100087 122 FOUND SOLUTION: 100087 (NLP) in 8 sec. 123 SAFH 117 117 0 0.5 1.9E+02 1 9.7E+04 8600.09 124 SAFH 118 118 0 0.5 2.3E+03 1 1.5E+05 36309.7 125 SAFH 119 119 0 0.5 2.8E+03 1 1.5E+05 51280.4 126 SAFH 120 120 0 0.5 2.3E+03 1 1.5E+05 64615.4 127 SAFH 121 121 0 0.5 2.8E+03 1 1.3E+05 71515.6 128 SAFH 122 122 0 0.5 2.5E+03 1 1.4E+05 62156 129 SAFH 123 123 0 0.5 2.9E+03 1 1.3E+05 68367.2 130 SAFH 124 124 0 0.5 2.5E+03 1 1.3E+05 70256.8 131 SAFH 125 125 0 0.5 2E+03 1 1E+05 62798.7 132 SAFH 126 126 0 0.5 1.9E+03 1 1.2E+05 84569.5 133 SAFH 127 127 0 0.5 2.3E+03 1 8.4E+04 59784 134 SAFH 128 128 0 0.5 2.4E+03 1 1.3E+05 71473.3 135 SAFH 129 129 0 0.5 3E+03 1 1.1E+05 79423.3 136 SAFH 130 130 0 0.5 2.7E+03 1 8.4E+04 66459.4 137 SAFH 131 131 0 0.5 2.2E+03 1 1.2E+05 71474.6 138 SAFH 132 132 0 0.5 2.4E+03 1 1E+05 77251.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 133 133 0 0.5 1.2E+03 1 9.4E+04 78204.7 140 SAFH 134 134 0 0.5 2.3E+03 1 1E+05 85235.4 141 SAFH 135 135 0 0.5 1.8E+03 1 8.3E+04 77090.8 142 SAFH 136 136 0 0.5 2.3E+03 1 8E+04 72599 143 SAFH 137 137 0 0.5 2.2E+03 1 6.2E+04 65425 144 SAFH 138 138 0 0.5 3.1E+03 1 1.2E+05 92846.6 145 SAFH 139 139 0 0.5 1.3E+03 1 1E+05 82571.7 146 SAFH 140 140 0 0.5 6.4E+02 1 7.3E+04 90939.3 147 SAFH 141 141 0 0.5 1.9E+03 1 1.4E+05 98523.1 148 SAFH 142 142 0 0.5 1.8E+03 1 8.9E+04 77418.4 149 SAFH 143 143 0 0.5 1.9E+03 1 1E+05 91663.9 150 SAFH 144 144 0 0.5 1.6E+03 1 7.7E+04 70634.8 151 SAFH 145 145 0 0.5 1.1E+03 1 6.6E+04 83944.6 152 SAFH 146 146 0 0.5 2.2E+03 1 8.5E+04 86066.8 153 SAFH 147 147 0 0.5 1.3E+03 1 5.7E+04 61379.9 154 SAFH 148 148 0 0.5 1.5E+03 1 7E+04 75701.2 155 SAFH 149 149 0 0.5 1.6E+03 1 6.4E+04 76680.5 156 SAFH 150 150 0 0.5 1.5E+03 1 9.5E+04 91440.5 157 SAFH 151 151 0 0.5 2.1E+03 1 5.3E+04 76850 158 SAFH 152 152 0 0.5 1.4E+03 1 7.8E+04 81489.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 153 153 0 0.5 1.5E+03 1 8.8E+04 88801.6 160 SAFH 154 154 0 0.5 9E+02 1 4.5E+04 83476.7 161 SAFH 155 155 0 0.5 2.1E+03 1 8.5E+04 111995 162 SAFH 156 156 0 0.5 3.5E+02 1 2.3E+04 165897 163 SAFH 157 157 0 0.5 1.9E+02 1 1.1E+04 170465 164 SAFH 158 158 0 0.5 2.3E+02 1 1.1E+04 176138 165 SAFH 159 159 0 0.5 1.2E+02 1 9.3E+03 177694 166 SAFH 160 160 0 0.5 1.1E+02 1 3.8E+03 178265 167 SAFH 161 161 0 0.5 1.7E+02 1 5.3E+03 178505 168 SAFH 162 162 0 0.5 1.2E+02 1 3.6E+03 178868 169 SAFH 163 163 0 0.5 51 1 1.6E+03 179153 170 SAFH 164 164 0 0.5 89 1 1.6E+03 179591 171 SAFH 165 165 0 0.5 42 1 1E+03 179732 172 SAFH 166 166 0 0.5 36 1 5.4E+02 179917 173 SAFH 167 167 0 0.5 29 1 4.8E+02 180151 174 SAFH 168 168 0 0.5 29 1 2.6E+02 180245 175 SAFH 169 169 0 0.5 2.9E+03 1 8.5E+04 88634 176 SAFH 170 170 0 0.5 2.1E+03 1 6.2E+04 86318 177 SAFH 171 171 0 0.5 1.4E+03 1 5.7E+04 83707.8 178 SAFH 172 172 0 0.5 2.3E+03 1 6.7E+04 84545.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 173 173 0 0.5 1.3E+03 1 4.5E+04 68507.7 180 SAFH 174 174 0 0.5 1.3E+03 1 5.6E+04 103748 181 SAFH 175 175 0 0.5 1.7E+03 1 7.5E+04 93351.1 182 SAFH 176 176 0 0.5 4.1E+02 1 3.6E+04 104631 183 SAFH 177 177 0 0.5 7E+02 1 4.8E+04 117511 184 SAFH 178 178 0 0.5 2E+03 1 6.7E+04 81839 185 SAFH 179 179 0 0.5 1.5E+03 1 8.6E+04 103280 186 SAFH 180 180 0 0.5 1.6E+03 1 4.9E+04 84000.5 187 SAFH 181 181 0 0.5 1.9E+03 1 5.1E+04 94160.4 188 SAFH 182 182 0 0.5 9.5E+02 1 5.1E+04 70070.3 189 SAFH 183 183 0 0.5 1.7E+03 1 4.4E+04 88861.6 190 SAFH 184 184 0 0.5 4.8E+02 1 5.5E+04 104292 191 SAFH 185 185 0 0.5 1.9E+03 1 7.2E+04 192125 192 SAFH 186 186 0 0.5 1.5E+03 1 7.4E+04 97905.4 193 SAFH 187 187 0 0.5 1.3E+03 1 4.4E+04 110876 194 SAFH 188 188 0 0.5 1.1E+03 1 3.4E+04 81329.5 195 SAFH 189 189 0 0.5 1.9E+03 1 7.7E+04 101951 196 SAFH 190 190 0 0.5 8.1E+02 1 3.6E+04 91115.4 197 SAFH 191 191 0 0.5 1.5E+03 1 6.9E+04 107020 198 SAFH 192 192 0 0.5 1.3E+03 1 3.5E+04 79009.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 193 193 0 0.5 1.8E+03 1 5.8E+04 148574 200 SAFH 194 194 0 0.5 4.2E+02 1 4.1E+04 176599 201 SAFH 195 195 0 0.3 3.1E+02 1 2.7E+04 177588 202 SAFH 196 196 0 0.3 2.3E+02 1 1.4E+04 185945 203 SAFH 197 197 0 0.3 2.7E+02 1 1.6E+04 189315 204 SAFH 198 198 0 0.3 1.4E+02 1 7E+03 189619 205 SAFH 199 199 0 0.3 1.1E+02 1 2.4E+03 194300 206 SAFH 200 200 0 0.3 1.1E+02 1 5.4E+03 194908 207 SAFH 201 201 0 0.3 1E+02 1 2.2E+03 194967 208 SAFH 202 202 0 0.3 72 1 1.4E+03 195253 209 SAFH 203 203 0 0.3 61 1 7.7E+02 195299 210 SAFH 204 204 0 0.3 58 1 9.4E+02 195626 211 SAFH 205 205 0 0.3 35 1 4E+02 195812 212 SAFH 206 206 0 0.3 42 1 3.9E+02 195838 213 SAFH 207 207 0 0.3 30 1 2.6E+02 195862 214 SAFH 208 208 0 0.3 25 1 1.3E+02 195908 215 SAFH 209 209 0 0.3 25 1 1.7E+02 195954 216 SAFH 210 210 0 0.3 17 1 68 195964 217 SAFH 211 211 0 0.3 23 1 1.4E+02 195987 218 SAFH 212 212 0 0.3 14 1 46 195988 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 213 213 0 0.3 14 1 41 195988 220 SAFH 214 214 0 0.3 7.5 1 18 195998 221 SAFH 215 215 0 0.3 8.4 1 18 196010 222 SAFH 216 216 0 0.3 7.6 1 11 196012 223 SAFH 217 217 0 0.3 4 1 6.2 196012 224 SAFH 218 218 0 0.3 5.7 1 6 196013 225 SAFH 219 219 0 0.3 3.9 1 2.7 196014 226 SAFH 220 220 0 0.3 3.6 1 2.7 196014 227 SAFH 221 221 0 0.3 2.9 1 1.6 196014 228 SAFH 222 222 0 0.3 2.2 1 0.9 196015 229 SAFH 223 223 0 0.3 2.5 1 1 196015 230 SAFH 224 224 0 0.3 1.5 1 0.43 196015 231 SAFH 225 225 0 0.3 1.1 1 0.42 196015 232 SAFH 226 226 0 0.3 0.92 1 0.23 196015 233 SAFH 227 227 0 0.3 0.6 1 0.15 196015 234 SAFH 228 228 0 0.3 0.68 1 0.13 196015 235 SAFH 229 229 0 0.3 0.53 1 0.061 196015 236 SAFH 230 230 0 0.3 0.44 1 0.062 196015 237 SAFH 231 231 0 0.3 0.38 1 0.033 196015 238 SAFH 232 232 0 0.3 0.34 1 0.022 196015 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 233 233 0 0.3 0.28 1 0.018 196015 240 SAFH 234 234 0 0.3 0.16 1 0.0088 196015 241 SAFH 235 235 0 0.3 0.16 1 0.0085 196015 242 SAFH 236 236 0 0.3 0.14 1 0.0066 196015 243 SAFH 237 237 0 0.3 0.093 1 0.0029 196015 244 SAFH 238 238 0 0.3 0.12 1 0.0025 196015 245 SAFH 239 239 0 0.3 0.087 1 0.0019 196015 246 SAFH 240 240 0 0.3 0.047 1 0.00089 196015 247 SAFH 241 241 0 0.3 0.09 1 0.0027 196015 248 SAFH 242 242 0 0.3 0.058 1 0.0012 196015 249 SAFH 243 243 0 0.3 0.044 1 0.00074 196015 250 SAFH 244 244 0 0.3 0.033 1 0.00038 196015 251 SAFH 245 245 0 0.3 0.027 1 0.00032 196015 252 SAFH 246 246 0 0.3 0.029 1 0.00029 196015 253 SAFH 247 247 0 0.3 0.023 1 0.00012 196015 254 SAFH 248 248 0 0.3 0.034 1 0.00031 196015 255 SAFH 249 249 0 0.3 0.017 1 0.0001 196015 256 SAFH 250 250 0 0.3 0.017 1 9.7E-05 196015 257 SAFH 251 251 0 0.3 0.015 1 3.9E-05 196015 258 SAFH 252 252 0 0.3 0.029 1 0.00015 196015 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 253 253 0 0.3 0.012 1 5.1E-05 196015 260 SAFH 254 254 0 0.3 0.014 1 6.7E-05 196015 261 SAFH 255 255 0 0.3 0.0089 1 2.2E-05 196015 262 SAFH 256 256 0 0.3 0.0084 1 1.9E-05 196015 263 SAFH 257 257 0 0.3 0.0063 1 9.8E-06 196015 264 SAFH 258 258 0 0.3 0.0066 1 7.8E-06 196015 265 SAFH 259 259 0 0.3 0.0036 1 5.1E-06 196015 266 SAFH 260 260 0 0.3 0.0038 1 2.9E-06 196015 267 SAFH 261 261 0 0.3 0.003 1 2.6E-06 196015 268 SAFH 262 262 0 0.3 0.0022 1 1.3E-06 196015 269 SAFH 263 263 0 0.3 0.002 1 1E-06 196015 270 SAFJ 264 264 0 0.3 0.0019 0 6.8E-07 196015 271 SAFJ 264 264 0 0.2 0 0 6.8E-07 196015 272 SAFJ 264 264 0 0.1 0 0 6.8E-07 196015 273 AFG 264 264 0 0 1.8E+03 0 0 86467.8 273 FOUND SOLUTION: 86467.8 (NLP) in 116 sec. 274 AFH 264 264 0 0 1.5E+02 1 2.9E+04 62350.2 275 AFH 265 265 0 0 1.1E+03 1 4E+04 68430.6 276 AFH 266 266 0 0 1.3E+03 1 3.6E+04 68700 277 AFH 267 267 0 0 7.4E+02 1 2.5E+04 69195.5 278 AFH 268 268 0 0 1.1E+03 1 3.6E+04 71078.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 269 269 0 0 9.6E+02 1 2.2E+04 71467.1 280 AFH 270 270 0 0 1.1E+03 1 2.8E+04 72260.1 281 AFH 271 271 0 0 1.4E+03 1 2.2E+04 74102.1 282 AFH 272 272 0 0 1.8E+03 1 1.7E+04 74856.9 283 AFH 273 273 0 0 9.6E+02 1 1.8E+04 74943 284 AFH 274 274 0 0 1.3E+03 1 3E+04 75466 285 AFG 275 275 0 0 8.4E+02 0 0 85921.3 285 FOUND SOLUTION: 85921.3 (NLP) in 170 sec. 286 AFH 275 275 0 0 1.3E+02 1 1.3E+04 75639.2 287 AFH 276 276 0 0 1.5E+03 1 2.3E+04 76418 288 AFH 277 277 0 0 1.3E+03 1 1.4E+04 77241.5 289 AFH 278 278 0 0 7.7E+02 1 2.3E+04 77353.9 290 AFH 279 279 0 0 7.5E+02 1 1.5E+04 77472.5 291 AFH 280 280 0 0 9.7E+02 1 1.8E+04 77816.8 292 AFG 281 281 0 0 8.4E+02 0 0 85115 292 FOUND SOLUTION: 85115 (NLP) in 191 sec. 293 AFH 281 281 0 0 1.4E+02 1 9.9E+03 77913.3 294 AFH 282 282 0 0 6.3E+02 1 1.3E+04 78024.8 295 AFH 283 283 0 0 1.2E+03 1 2.3E+04 78937.9 296 AFH 284 284 0 0 8.5E+02 1 1.2E+04 79339.6 297 AFH 285 285 0 0 1.1E+03 1 1.1E+04 79724 298 AFH 286 286 0 0 8.9E+02 1 1.3E+04 79801.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 287 287 0 0 8.3E+02 1 7.4E+03 79990.9 300 AFH 288 288 0 0 1.1E+03 1 1.1E+04 79998.6 301 AFH 289 289 0 0 6.5E+02 1 9.9E+03 80394.4 302 AFH 290 290 0 0 9.1E+02 1 6.2E+03 80761.1 303 AFH 291 291 0 0 1.2E+03 1 9.3E+03 80811.6 304 AFH 292 292 0 0 1.1E+03 1 6.8E+03 80831.1 305 AFG 293 293 0 0 5.9E+02 0 0 85004.1 305 FOUND SOLUTION: 85004.1 (NLP) in 255 sec. 306 AFH 293 293 0 0 1.4E+02 1 6.6E+03 81420.2 307 AFH 294 294 0 0 9.4E+02 1 7.7E+03 81603.4 308 AFH 295 295 0 0 9.5E+02 1 5E+03 81631.6 309 AFH 296 296 0 0 7.6E+02 1 1.1E+04 81965.1 310 AFG 297 297 0 0 5.7E+02 0 0 84960.2 310 FOUND SOLUTION: 84960.2 (NLP) in 295 sec. 311 AFH 297 297 0 0 1.4E+02 1 6E+03 82039.7 312 AFH 298 298 0 0 5.2E+02 1 8.2E+03 82060 313 AFH 299 299 0 0 7.9E+02 1 7.1E+03 82078.6 314 AFH 300 300 0 0 8.2E+02 1 3.8E+03 82140.9 315 AFH 301 301 0 0 8.9E+02 1 5.8E+03 82410.6 316 AFH 302 302 0 0 8.2E+02 1 4.5E+03 82725.8 317 AFH 303 303 0 0 3.3E+02 1 2.9E+03 82993.4 318 AFH 304 304 0 0 3.6E+02 1 3.5E+03 83080.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 305 305 0 0 4.5E+02 1 3.5E+03 83324.4 320 AFH 306 306 0 0 4E+02 1 3.1E+03 83419.7 321 AFH 307 307 0 0 6.7E+02 1 5.9E+03 83474.9 322 AFH 308 308 0 0 6.2E+02 1 2.3E+03 83567.6 323 AFH 309 309 0 0 1E+03 1 1.4E+04 83613.8 324 AFH 310 310 0 0 7.6E+02 1 2.6E+03 83647.9 325 AFH 311 311 0 0 8.6E+02 1 1.1E+04 83662 326 AFH 312 312 0 0 8.7E+02 1 1.2E+04 83669 327 AFH 313 313 0 0 6.8E+02 1 1.3E+04 83742.1 328 AFH 314 314 0 0 8.2E+02 1 2.7E+03 83808.3 329 AFH 315 315 0 0 6.2E+02 1 7.6E+03 83824.8 330 AFH 316 316 0 0 6E+02 1 1.6E+03 83827 331 AFH 317 317 0 0 7.7E+02 1 7.7E+03 83831.1 332 AFH 318 318 0 0 1.1E+03 1 2.9E+03 83882 333 AFH 319 319 0 0 4.6E+02 1 1.5E+03 83968.3 334 AFH 320 320 0 0 6.8E+02 1 5.6E+03 84020.3 335 AFH 321 321 0 0 6.7E+02 1 1.5E+03 84038.3 336 AFH 322 322 0 0 5.8E+02 1 3.6E+03 84172.2 337 AFH 323 323 0 0 4.9E+02 1 2.9E+03 84189.7 338 AFH 324 324 0 0 7.9E+02 1 3E+03 84244.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 325 325 0 0 6.5E+02 1 5E+03 84245.6 340 AFH 326 326 0 0 6.5E+02 1 1.3E+03 84277.2 341 AFH 327 327 0 0 2.2E+02 1 1E+03 84283.5 342 AFH 328 328 0 0 6.9E+02 1 5.1E+03 84317.4 343 AFH 329 329 0 0 5.7E+02 1 1.6E+03 84371.4 344 AFH 330 330 0 0 8.7E+02 1 8.6E+03 84408.2 345 AFH 331 331 0 0 8.9E+02 1 6.4E+03 84427.1 346 AFH 332 332 0 0 7.4E+02 1 7.7E+02 84441.4 347 AFH 333 333 0 0 66 1 9E+02 84457.5 348 AFH 334 334 0 0 4.9E+02 1 7.2E+03 84458.3 349 AFH 335 335 0 0 9.6E+02 1 2.4E+04 84492.3 350 AFH 336 336 0 0 1.2E+03 1 8.1E+02 84496.4 351 AFH 337 337 0 0 5.6E+02 1 3.9E+03 84536.2 352 AFH 338 338 0 0 6.8E+02 1 1.7E+03 84538.2 353 AFH 339 339 0 0 8.9E+02 1 3.2E+03 84556 354 AFH 340 340 0 0 8.5E+02 1 3.6E+03 84557.9 355 AFH 341 341 0 0 4.6E+02 1 5E+02 84603.6 356 AFH 342 342 0 0 1.6E+02 1 5.3E+02 84643.5 357 AFH 343 343 0 0 1.5E+02 1 4.6E+02 84685.8 358 AFH 344 344 0 0 1.9E+02 1 4.1E+02 84707.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 345 345 0 0 4.8E+02 1 2.9E+03 84775 360 AFH 346 346 0 0 7.8E+02 1 3.9E+02 84777.1 361 AFH 347 347 0 0 4.9E+02 1 2.5E+02 84777.4 362 AFH 348 348 0 0 9.6E+02 1 5.2E+03 84786.6 363 AFH 349 349 0 0 1.1E+03 1 9.6E+03 84787 364 AFH 350 350 0 0 8.5E+02 1 2.5E+02 84789 365 AFH 351 351 0 0 8.5E+02 1 3.1E+03 84811.7 366 AFH 352 352 0 0 5.6E+02 1 2.9E+02 84833.2 367 AFH 353 353 0 0 31 1 1.8E+02 84860.5 368 AFH 354 354 0 0 26 1 1.4E+02 84866.5 369 AFH 355 355 0 0 31 1 1.5E+02 84881.5 370 AFH 356 356 0 0 26 1 1.3E+02 84892.4 371 AFH 357 357 0 0 28 1 1.1E+02 84893.4 372 AFH 358 358 0 0 19 1 75 84894.9 373 AFH 359 359 0 0 2.6E+02 1 2.5E+03 84904.3 374 AFH 360 360 0 0 2.6E+02 1 1.2E+02 84929.6 375 AFH 361 361 0 0 1.1E+02 1 62 84932 376 AFH 362 362 0 0 1.7E+02 1 79 84932.8 377 AFH 363 363 0 0 2.5E+02 1 49 84935.5 378 AFH 364 364 0 0 17 1 54 84936.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 365 365 0 0 1E+02 1 36 84936.4 380 AFH 366 366 0 0 1.1E+02 1 55 84940.7 381 AFH 367 367 0 0 1.1E+02 1 26 84943.2 382 AFH 368 368 0 0 1.2E+02 1 37 84947.6 383 AFH 369 369 0 0 1.3E+02 1 24 84948.1 384 AFH 370 370 0 0 1.3E+02 1 21 84948.9 385 AFH 371 371 0 0 12 1 20 84949.1 386 AFH 372 372 0 0 1E+02 1 22 84949.9 387 AFH 373 373 0 0 1.1E+02 1 10 84950.2 388 AFH 374 374 0 0 8.9E+02 1 6.5E+03 84953 389 AFH 375 375 0 0 9.8E+02 1 56 84954.7 390 AFH 376 376 0 0 99 1 28 84955.5 391 AFH 377 377 0 0 1.2E+02 1 19 84956.5 392 AFH 378 378 0 0 1.1E+02 1 14 84956.9 393 AFH 379 379 0 0 7.1 1 17 84957.5 394 AFH 380 380 0 0 1.5E+02 1 10 84957.6 395 AFH 381 381 0 0 1.5E+02 1 12 84957.8 396 AFH 382 382 0 0 7 1 6.9 84958 397 AFH 383 383 0 0 6.7 1 8.3 84958.2 398 AFH 384 384 0 0 5.6 1 5.7 84958.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 385 385 0 0 5.4 1 4.7 84958.6 400 AFH 386 386 0 0 5 1 5.7 84958.7 401 AFH 387 387 0 0 4.9 1 3.7 84958.8 402 AFH 388 388 0 0 3.8 1 3.3 84958.9 403 AFH 389 389 0 0 4.2 1 2.8 84959 404 AFH 390 390 0 0 2.4E+02 1 3.7 84959.1 405 AFH 391 391 0 0 2.3E+02 1 1.8 84959.2 406 AFH 392 392 0 0 4.2 1 2.4 84959.3 407 AFH 393 393 0 0 92 1 2.2 84959.4 408 AFH 394 394 0 0 2.3E+02 1 1.4 84959.4 409 AFH 395 395 0 0 1.4E+02 1 1.3 84959.5 410 AFH 396 396 0 0 2.3 1 1.3 84959.6 411 AFH 397 397 0 0 3.1 1 1.5 84959.7 412 AFH 398 398 0 0 2 1 0.76 84959.7 413 AFH 399 399 0 0 2.1 1 0.79 84959.7 414 AFH 400 400 0 0 2.8 1 1.4 84959.8 415 AFH 401 401 0 0 1.7 1 0.85 84959.9 416 AFH 402 402 0 0 2 1 0.56 84959.9 417 AFH 403 403 0 0 2.4 1 0.9 84959.9 418 AFH 404 404 0 0 1.9 1 0.52 84959.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 405 405 0 0 1.5 1 0.38 84959.9 420 AFH 406 406 0 0 1.6 1 0.4 84960 421 AFH 407 407 0 0 1.5 1 0.4 84960 422 AFH 408 408 0 0 1.3 1 0.24 84960.1 423 AFH 409 409 0 0 1.3 1 0.22 84960.1 424 AFH 410 410 0 0 1.1 1 0.28 84960.1 425 AFH 411 411 0 0 1.1 1 0.24 84960.1 426 AFH 412 412 0 0 0.82 1 0.15 84960.1 427 AFH 413 413 0 0 1.1E+02 1 0.14 84960.1 428 AFH 414 414 0 0 1.1E+02 1 0.13 84960.1 429 AFH 415 415 0 0 0.87 1 0.13 84960.1 430 AFH 416 416 0 0 3.3E+02 1 0.079 84960.2 431 AFH 417 417 0 0 3.3E+02 1 0.087 84960.2 432 AFH 418 418 0 0 0.71 1 0.077 84960.2 433 AFH 419 419 0 0 0.72 1 0.07 84960.2 434 AFH 420 420 0 0 0.61 1 0.051 84960.2 435 AFH 421 421 0 0 0.48 1 0.041 84960.2 436 AFH 422 422 0 0 0.44 1 0.048 84960.2 437 AFH 423 423 0 0 0.54 1 0.043 84960.2 438 AFH 424 424 0 0 0.52 1 0.04 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 425 425 0 0 0.38 1 0.021 84960.2 440 AFH 426 426 0 0 0.41 1 0.031 84960.2 441 AFH 427 427 0 0 0.42 1 0.025 84960.2 442 AFH 428 428 0 0 4.7E+02 1 0.019 84960.2 443 AFH 429 429 0 0 4.7E+02 1 0.019 84960.2 444 AFH 430 430 0 0 1.1E+02 1 0.015 84960.2 445 AFH 431 431 0 0 1.1E+02 1 0.011 84960.2 446 AFH 432 432 0 0 0.28 1 0.011 84960.2 447 AFH 433 433 0 0 0.26 1 0.0095 84960.2 448 AFH 434 434 0 0 0.21 1 0.0085 84960.2 449 AFH 435 435 0 0 2.3E+02 1 0.0063 84960.2 450 AFH 436 436 0 0 2.3E+02 1 0.0056 84960.2 451 AFH 437 437 0 0 0.14 1 0.0056 84960.2 452 AFH 438 438 0 0 2.4E+02 1 0.0046 84960.2 453 AFH 439 439 0 0 4.6E+02 1 0.0042 84960.2 454 AFH 440 440 0 0 2.2E+02 1 0.0026 84960.2 455 AFH 441 441 0 0 0.14 1 0.004 84960.2 456 AFH 442 442 0 0 0.13 1 0.0026 84960.2 457 AFH 443 443 0 0 1.3E+02 1 0.0022 84960.2 458 AFH 444 444 0 0 1.3E+02 1 0.0025 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 445 445 0 0 0.098 1 0.0017 84960.2 460 AFH 446 446 0 0 0.1 1 0.0015 84960.2 461 AFH 447 447 0 0 1.3E+02 1 0.0012 84960.2 462 AFH 448 448 0 0 1.3E+02 1 0.00093 84960.2 463 AFH 449 449 0 0 1.3E+02 1 0.00094 84960.2 464 AFH 450 450 0 0 1.3E+02 1 0.00094 84960.2 465 AFH 451 451 0 0 0.063 1 0.00056 84960.2 466 AFH 452 452 0 0 0.067 1 0.00066 84960.2 467 AFH 453 453 0 0 0.06 1 0.00054 84960.2 468 AFH 454 454 0 0 0.058 1 0.00048 84960.2 469 AFH 455 455 0 0 0.046 1 0.00038 84960.2 470 AFH 456 456 0 0 0.042 1 0.0003 84960.2 471 AFH 457 457 0 0 1.4E+02 1 0.00031 84960.2 472 AFH 458 458 0 0 2.7E+02 1 0.00024 84960.2 473 AFH 459 459 0 0 1.3E+02 1 0.00023 84960.2 474 AFH 460 460 0 0 1E+02 1 0.00016 84960.2 475 AFH 461 461 0 0 1E+02 1 0.00017 84960.2 476 AFH 462 462 0 0 3.5E+02 1 0.00012 84960.2 477 AFH 463 463 0 0 3.5E+02 1 0.00014 84960.2 478 AFH 464 464 0 0 0.023 1 8.5E-05 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 465 465 0 0 0.025 1 9.8E-05 84960.2 480 AFH 466 466 0 0 0.019 1 7.2E-05 84960.2 481 AFH 467 467 0 0 0.021 1 7.4E-05 84960.2 482 AFH 468 468 0 0 0.022 1 6.2E-05 84960.2 483 AFH 469 469 0 0 0.015 1 3.9E-05 84960.2 484 AFH 470 470 0 0 0.021 1 5.7E-05 84960.2 485 AFH 471 471 0 0 0.012 1 4.1E-05 84960.2 486 AFH 472 472 0 0 0.015 1 2.7E-05 84960.2 487 AFH 473 473 0 0 0.015 1 3.4E-05 84960.2 488 AFH 474 474 0 0 0.0098 1 2.3E-05 84960.2 489 AFH 475 475 0 0 0.012 1 3.1E-05 84960.2 490 AFH 476 476 0 0 0.0086 1 2E-05 84960.2 491 AFH 477 477 0 0 1.1E+02 1 1.4E-05 84960.2 492 AFH 478 478 0 0 2.5E+02 1 1.5E-05 84960.2 493 AFH 479 479 0 0 2.5E+02 1 1.5E-05 84960.2 494 AFH 480 480 0 0 1.1E+02 1 9.4E-06 84960.2 495 AFH 481 481 0 0 1.1E+02 1 1.2E-05 84960.2 496 AFH 482 482 0 0 2.3E+02 1 1.3E-05 84960.2 497 AFH 483 483 0 0 1.2E+02 1 5.9E-06 84960.2 498 AFH 484 484 0 0 0.0069 1 6.8E-06 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 485 485 0 0 0.01 1 1.7E-05 84960.2 500 AFH 486 486 0 0 89 1 7.4E-06 84960.2 501 AFH 487 487 0 0 89 1 5.2E-06 84960.2 502 AFH 488 488 0 0 0.0061 1 5.8E-06 84960.2 503 AFH 489 489 0 0 0.0043 1 2.9E-06 84960.2 504 AFH 490 490 0 0 89 1 5.3E-06 84960.2 505 AFH 491 491 0 0 89 1 4E-06 84960.2 506 AFH 492 492 0 0 0.0046 1 3.3E-06 84960.2 507 AFH 493 493 0 0 0.004 1 2.3E-06 84960.2 508 AFH 494 494 0 0 2.1E+02 1 3.3E-06 84960.2 509 AFH 495 495 0 0 3.1E+02 1 1.9E-06 84960.2 510 AFH 496 496 0 0 1E+02 1 1.8E-06 84960.2 511 AFH 497 497 0 0 0.0035 1 1.7E-06 84960.2 512 AFH 498 498 0 0 89 1 1.5E-06 84960.2 513 AFJ 499 499 0 0 89 0 8.7E-07 84960.2 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.55_SLay08H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 84960.212419383358792 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 84960.212419383358792 Max constraint (1) : -0 Time used (seconds) : 1579.69 Time limit (seconds) : 7200 Iterations used : 513 Iteration limit : -1 Function evaluations : 1173 Gradient evaluations : 500 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 241/513 NLP solver calls : 514 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay08H.gms(1864) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay08H.gms Stop 09/14/12 15:04:29 elapsed 0:26:19.834 @04 1347627869 ----------------------------- Fr 14. Sep 15:04:29 CEST 2012 ----------------------------- =ready= Linux opt232 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay08M.gms =========== ----------------------------- Fr 14. Sep 14:38:09 CEST 2012 ----------------------------- @03 1347626289 --- Job SLay08M.gms Start 09/14/12 14:38:09 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay08M.gms(633) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- SLay08M.gms(631) 3 Mb --- Generating MIQCP model m --- SLay08M.gms(633) 5 Mb --- 253 rows 185 columns 857 non-zeroes --- 67 nl-code 16 nl-non-zeroes --- 112 discrete-columns --- SLay08M.gms(633) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.56_SLay08M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 857 elements of which 2% are non-linear(NL) included in 253 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 16 from a total of 185 variables: Continuous(73), Binary(112), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=33 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 6.2E+05 NA 1 SAFG 1 1 0 1 8E+02 0 0 359616 1 FOUND SOLUTION: 359616 (NLP) in 1 sec. 2 SAFH 1 1 0 1 4.3E+02 1 2.9E+06 -1.52644E+06 3 SAFH 2 2 0 1 6.4E+02 1 1.4E+06 -753931 4 SAFH 3 3 0 1 7.1E+02 1 1.2E+06 -320406 5 SAFH 4 4 0 1 5.8E+02 1 8.1E+05 -73354.9 6 SAFH 5 5 0 1 4.3E+02 1 5.5E+05 21604.4 7 SAFH 6 6 0 1 2.2E+02 1 4.2E+05 42910.5 8 SAFH 7 7 0 1 4.2E+02 1 2.9E+05 151912 9 SAFH 8 8 0 1 5E+02 1 3.7E+05 228134 10 SAFH 9 9 0 1 3.9E+02 1 1.8E+05 237806 11 SAFH 10 10 0 1 4.7E+02 1 2.9E+05 280369 12 SAFH 11 11 0 1 3E+02 1 1.1E+05 282096 13 SAFH 12 12 0 1 3.2E+02 1 1.3E+05 290119 14 SAFH 13 13 0 1 2.5E+02 1 9.9E+04 304542 15 SAFH 14 14 0 1 1.8E+02 1 5.9E+04 313427 16 SAFH 15 15 0 1 2.3E+02 1 7.7E+04 326472 17 SAFH 16 16 0 1 2.3E+02 1 5E+04 330317 18 SAFH 17 17 0 1 2.2E+02 1 3.9E+04 336024 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 1.6E+02 1 4.3E+04 340058 20 SAFH 19 19 0 1 1.3E+02 1 2.4E+04 342086 21 SAFH 20 20 0 1 1.7E+02 1 3.1E+04 343283 22 SAFH 21 21 0 1 1.4E+02 1 2.1E+04 345459 23 SAFH 22 22 0 1 1.2E+02 1 1.6E+04 349203 24 SAFH 23 23 0 1 1.1E+02 1 1.7E+04 351029 25 SAFH 24 24 0 1 91 1 1.1E+04 352680 26 SAFH 25 25 0 1 89 1 1E+04 353368 27 SAFH 26 26 0 1 40 1 7.5E+03 353491 28 SAFH 27 27 0 1 1.1E+02 1 1.6E+04 355094 29 SAFH 28 28 0 1 90 1 6.8E+03 355917 30 SAFH 29 29 0 1 91 1 6.6E+03 356458 31 SAFH 30 30 0 1 77 1 5E+03 356847 32 SAFH 31 31 0 1 70 1 4.1E+03 356900 33 SAFH 32 32 0 1 54 1 3.9E+03 357151 34 SAFH 33 33 0 1 49 1 3.2E+03 357805 35 SAFH 34 34 0 1 42 1 2.1E+03 358010 36 SAFH 35 35 0 1 51 1 2.1E+03 358218 37 SAFH 36 36 0 1 50 1 3.2E+03 358495 38 SAFH 37 37 0 1 41 1 1.9E+03 358581 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 40 1 1.5E+03 358868 40 SAFH 39 39 0 1 31 1 1.2E+03 358907 41 SAFH 40 40 0 1 35 1 1.2E+03 358946 42 SAFH 41 41 0 1 27 1 8.6E+02 358979 43 SAFH 42 42 0 1 20 1 1E+03 359030 44 SAFH 43 43 0 1 19 1 6.6E+02 359152 45 SAFH 44 44 0 1 24 1 5.5E+02 359288 46 SAFH 45 45 0 1 23 1 6.4E+02 359312 47 SAFH 46 46 0 1 23 1 5.3E+02 359362 48 SAFH 47 47 0 1 20 1 3.6E+02 359368 49 SAFH 48 48 0 1 22 1 4.2E+02 359375 50 SAFH 49 49 0 1 13 1 2.7E+02 359419 51 SAFH 50 50 0 1 15 1 3.5E+02 359442 52 SAFH 51 51 0 1 16 1 2.6E+02 359472 53 SAFH 52 52 0 1 12 1 1.7E+02 359498 54 SAFH 53 53 0 1 13 1 2.5E+02 359503 55 SAFH 54 54 0 1 12 1 1.2E+02 359520 56 SAFH 55 55 0 1 14 1 1.7E+02 359544 57 SAFH 56 56 0 1 12 1 1.4E+02 359562 58 SAFH 57 57 0 1 12 1 1.3E+02 359562 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 8.9 1 75 359563 60 SAFH 59 59 0 1 8.6 1 89 359571 61 SAFH 60 60 0 1 9.4 1 82 359581 62 SAFH 61 61 0 1 8.6 1 67 359583 63 SAFH 62 62 0 1 9.7 1 1E+02 359584 64 SAFH 63 63 0 1 7 1 39 359585 65 SAFH 64 64 0 1 7.2 1 53 359591 66 SAFH 65 65 0 1 7.8 1 49 359598 67 SAFH 66 66 0 1 6.7 1 38 359598 68 SAFH 67 67 0 1 3.7 1 26 359599 69 SAFH 68 68 0 1 6.7 1 35 359600 70 SAFH 69 69 0 1 6.2 1 41 359603 71 SAFH 70 70 0 1 4.4 1 18 359604 72 SAFH 71 71 0 1 4.1 1 25 359606 73 SAFH 72 72 0 1 3.6 1 17 359607 74 SAFH 73 73 0 1 3.5 1 13 359608 75 SAFH 74 74 0 1 3.4 1 12 359609 76 SAFH 75 75 0 1 2.2 1 13 359610 77 SAFH 76 76 0 1 2.4 1 8.4 359610 78 SAFH 77 77 0 1 2.8 1 7 359612 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 2.7 1 10 359613 80 SAFH 79 79 0 1 2.1 1 5.5 359613 81 SAFH 80 80 0 1 2 1 4.3 359614 82 SAFH 81 81 0 1 1.7 1 6.5 359614 83 SAFH 82 82 0 1 1.5 1 3.7 359614 84 SAFH 83 83 0 1 2 1 3.5 359614 85 SAFH 84 84 0 1 1.8 1 2.8 359614 86 SAFH 85 85 0 1 1 1 2.7 359615 87 SAFH 86 86 0 1 1 1 1.8 359615 88 SAFH 87 87 0 1 1.6 1 2.1 359615 89 SAFH 88 88 0 1 1.2 1 1.3 359615 90 SAFH 89 89 0 1 1 1 1.2 359616 91 SAFH 90 90 0 1 0.97 1 0.98 359616 92 SAFH 91 91 0 1 0.7 1 0.86 359616 93 SAFH 92 92 0 1 0.88 1 1.1 359616 94 SAFH 93 93 0 1 0.73 1 0.53 359616 95 SAFH 94 94 0 1 0.72 1 0.67 359616 96 SAFH 95 95 0 1 0.7 1 0.82 359616 97 SAFH 96 96 0 1 0.8 1 0.55 359616 98 SAFH 97 97 0 1 0.65 1 0.34 359616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 0.62 1 0.65 359616 100 SAFH 99 99 0 1 0.55 1 0.28 359616 101 SAFH 100 100 0 1 0.44 1 0.43 359616 102 SAFH 101 101 0 1 0.55 1 0.28 359616 103 SAFH 102 102 0 1 0.6 1 0.26 359616 104 SAFH 103 103 0 1 0.45 1 0.24 359616 105 SAFH 104 104 0 1 0.31 1 0.14 359616 106 SAFH 105 105 0 1 0.43 1 0.18 359616 107 SAFH 106 106 0 1 0.57 1 0.27 359616 108 SAFH 107 107 0 1 0.46 1 0.18 359616 109 SAFH 108 108 0 1 0.24 1 0.1 359616 110 SAFH 109 109 0 1 0.42 1 0.2 359616 111 SAFH 110 110 0 1 0.32 1 0.08 359616 112 SAFH 111 111 0 1 0.37 1 0.12 359616 113 SAFH 112 112 0 1 0.32 1 0.093 359616 114 SAFH 113 113 0 1 0.17 1 0.06 359616 115 SAFH 114 114 0 1 0.35 1 0.12 359616 116 SAFH 115 115 0 1 0.28 1 0.073 359616 117 SAFH 116 116 0 1 0.21 1 0.051 359616 118 SAFH 117 117 0 1 0.22 1 0.037 359616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 118 118 0 1 0.25 1 0.056 359616 120 SAFH 119 119 0 1 0.14 1 0.033 359616 121 SAFH 120 120 0 1 0.16 1 0.033 359616 122 SAFH 121 121 0 1 0.17 1 0.025 359616 123 SAFH 122 122 0 1 0.13 1 0.022 359616 124 SAFH 123 123 0 1 0.14 1 0.017 359616 125 SAFH 124 124 0 1 0.14 1 0.017 359616 126 SAFH 125 125 0 1 0.13 1 0.015 359616 127 SAFH 126 126 0 1 0.091 1 0.011 359616 128 SAFH 127 127 0 1 0.11 1 0.0098 359616 129 SAFH 128 128 0 1 0.11 1 0.0097 359616 130 SAFH 129 129 0 1 0.071 1 0.0075 359616 131 SAFH 130 130 0 1 0.035 1 0.0066 359616 132 SAFH 131 131 0 1 0.061 1 0.0051 359616 133 SAFH 132 132 0 1 0.073 1 0.0051 359616 134 SAFH 133 133 0 1 0.057 1 0.0046 359616 135 SAFH 134 134 0 1 0.059 1 0.003 359616 136 SAFH 135 135 0 1 0.061 1 0.0033 359616 137 SAFH 136 136 0 1 0.054 1 0.0028 359616 138 SAFH 137 137 0 1 0.05 1 0.0023 359616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 138 138 0 1 0.05 1 0.0019 359616 140 SAFH 139 139 0 1 0.035 1 0.0018 359616 141 SAFH 140 140 0 1 0.02 1 0.0013 359616 142 SAFH 141 141 0 1 0.029 1 0.001 359616 143 SAFH 142 142 0 1 0.029 1 0.001 359616 144 SAFH 143 143 0 1 0.027 1 0.00076 359616 145 SAFH 144 144 0 1 0.03 1 0.00079 359616 146 SAFH 145 145 0 1 0.024 1 0.00065 359616 147 SAFH 146 146 0 1 0.023 1 0.00042 359616 148 SAFH 147 147 0 1 0.021 1 0.00058 359616 149 SAFH 148 148 0 1 0.017 1 0.00039 359616 150 SAFH 149 149 0 1 0.016 1 0.00035 359616 151 SAFH 150 150 0 1 0.017 1 0.00033 359616 152 SAFH 151 151 0 1 0.013 1 0.00023 359616 153 SAFH 152 152 0 1 0.016 1 0.00025 359616 154 SAFH 153 153 0 1 0.0089 1 0.00016 359616 155 SAFH 154 154 0 1 0.016 1 0.00024 359616 156 SAFH 155 155 0 1 0.012 1 0.00014 359616 157 SAFH 156 156 0 1 0.011 1 0.00015 359616 158 SAFH 157 157 0 1 0.008 1 0.0001 359616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 158 158 0 1 0.011 1 0.00012 359616 160 SAFH 159 159 0 1 0.0096 1 7.3E-05 359616 161 SAFH 160 160 0 1 0.0074 1 7.1E-05 359616 162 SAFH 161 161 0 1 0.0086 1 6.3E-05 359616 163 SAFH 162 162 0 1 0.0087 1 6.9E-05 359616 164 SAFH 163 163 0 1 0.0065 1 4.5E-05 359616 165 SAFH 164 164 0 1 0.0053 1 3.4E-05 359616 166 SAFH 165 165 0 1 0.0045 1 3.5E-05 359616 167 SAFH 166 166 0 1 0.0066 1 3.3E-05 359616 168 SAFH 167 167 0 1 0.0061 1 4E-05 359616 169 SAFH 168 168 0 1 0.0042 1 1.9E-05 359616 170 SAFH 169 169 0 1 0.0046 1 1.8E-05 359616 171 SAFH 170 170 0 1 0.0034 1 1.8E-05 359616 172 SAFH 171 171 0 1 0.0039 1 1.9E-05 359616 173 SAFH 172 172 0 1 0.0043 1 1.3E-05 359616 174 SAFH 173 173 0 1 0.0038 1 1.1E-05 359616 175 SAFH 174 174 0 1 0.0027 1 8.5E-06 359616 176 SAFH 175 175 0 1 0.0044 1 1.4E-05 359616 177 SAFH 176 176 0 1 0.0017 1 6.8E-06 359616 178 SAFH 177 177 0 1 0.0016 1 8.7E-06 359616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 178 178 0 1 0.002 1 6.2E-06 359616 180 SAFH 179 179 0 1 0.0029 1 7.7E-06 359616 181 SAFH 180 180 0 1 0.0023 1 4.9E-06 359616 182 SAFH 181 181 0 1 0.0018 1 3.5E-06 359616 183 SAFH 182 182 0 1 0.0018 1 3.5E-06 359616 184 SAFH 183 183 0 1 0.0017 1 3.8E-06 359616 185 SAFH 184 184 0 1 0.0017 1 2.8E-06 359616 186 SAFH 185 185 0 1 0.0014 1 2.1E-06 359616 187 SAFH 186 186 0 1 0.001 1 1.9E-06 359616 188 SAFH 187 187 0 1 0.0011 1 2.3E-06 359616 189 SAFH 188 188 0 1 0.00083 1 1.4E-06 359616 190 SAFH 189 189 0 1 0.0011 1 1.4E-06 359616 191 SAFH 190 190 0 1 0.0011 1 1.2E-06 359616 192 SAFH 191 191 0 1 0.00091 1 1.1E-06 359616 193 SAFJL 192 192 0 1 0.00074 0 7.1E-07 359616 194 SAFG 191 191 0 0.5 3.5E+02 0 0 168890 194 FOUND SOLUTION: 168890 (NLP) in 6 sec. 195 SAFH 191 191 0 0.5 4.1E+02 1 9.7E+05 -417024 196 SAFG 192 192 0 0.5 5E+02 0 0 128394 196 FOUND SOLUTION: 128394 (NLP) in 6 sec. 197 SAFH 192 192 0 0.5 2.9E+02 1 4.8E+05 -243465 198 SAFH 193 193 0 0.5 6.3E+02 1 3.8E+05 -89519.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 194 194 0 0.5 4.7E+02 1 3E+05 -81752.2 200 SAFH 195 195 0 0.5 3.9E+02 1 2.1E+05 40228.3 201 SAFH 196 196 0 0.3 4E+02 1 1.5E+05 85621.4 202 SAFH 197 197 0 0.3 2.8E+02 1 1.1E+05 107436 203 SAFH 198 198 0 0.3 3.6E+02 1 2.2E+05 127249 204 SAFH 199 199 0 0.3 2E+02 1 1.1E+05 142455 205 SAFH 200 200 0 0.3 2.9E+02 1 8.8E+04 150560 206 SAFH 201 201 0 0.3 1.8E+02 1 6E+04 155025 207 SAFH 202 202 0 0.3 2.2E+02 1 4.8E+04 159980 208 SAFH 203 203 0 0.3 1.8E+02 1 4.7E+04 167375 209 SAFH 204 204 0 0.3 2E+02 1 3.4E+04 175240 210 SAFH 205 205 0 0.3 1.3E+02 1 2.4E+04 176611 211 SAFH 206 206 0 0.3 1.5E+02 1 3.5E+04 179882 212 SAFH 207 207 0 0.3 1.5E+02 1 2.6E+04 182908 213 SAFH 208 208 0 0.3 1.7E+02 1 1.7E+04 182853 214 SAFH 209 209 0 0.3 2E+02 1 2.7E+04 186409 215 SAFH 210 210 0 0.3 92 1 1.2E+04 186580 216 SAFH 211 211 0 0.3 1.3E+02 1 1.4E+04 187997 217 SAFH 212 212 0 0.3 1.1E+02 1 1.2E+04 189129 218 SAFH 213 213 0 0.3 59 1 7.5E+03 189282 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 214 214 0 0.3 3.2E+02 1 1.5E+05 78136.6 220 SAFH 215 215 0 0.3 3.1E+02 1 1E+05 103034 221 SAFH 216 216 0 0.3 3.1E+02 1 1.5E+04 189395 222 SAFH 217 217 0 0.3 1.2E+02 1 7.6E+03 189771 223 SAFH 218 218 0 0.3 1E+02 1 9.9E+03 190745 224 SAFH 219 219 0 0.3 92 1 7.8E+03 190994 225 SAFH 220 220 0 0.3 99 1 6.8E+03 191389 226 SAFH 221 221 0 0.3 57 1 5.1E+03 191447 227 SAFH 222 222 0 0.3 1.1E+02 1 6E+03 191986 228 SAFH 223 223 0 0.3 53 1 4.1E+03 192067 229 SAFH 224 224 0 0.3 59 1 4.1E+03 192236 230 SAFH 225 225 0 0.3 71 1 4.8E+03 192541 231 SAFH 226 226 0 0.3 68 1 3.7E+03 192694 232 SAFH 227 227 0 0.3 67 1 4.3E+03 192703 233 SAFH 228 228 0 0.3 61 1 2.5E+03 192823 234 SAFH 229 229 0 0.3 67 1 2.5E+03 193172 235 SAFH 230 230 0 0.3 45 1 2.8E+03 193471 236 SAFH 231 231 0 0.3 61 1 2.4E+03 193626 237 SAFH 232 232 0 0.3 52 1 1.8E+03 193726 238 SAFH 233 233 0 0.3 45 1 1.5E+03 193796 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 234 234 0 0.3 54 1 2E+03 193863 240 SAFH 235 235 0 0.3 54 1 1.8E+03 193903 241 SAFH 236 236 0 0.3 52 1 1.1E+03 193953 242 SAFH 237 237 0 0.3 52 1 1.7E+03 194036 243 SAFH 238 238 0 0.3 26 1 1.1E+03 194072 244 SAFH 239 239 0 0.3 47 1 1.3E+03 194115 245 SAFH 240 240 0 0.3 46 1 1.7E+03 194173 246 SAFH 241 241 0 0.3 33 1 8.1E+02 194220 247 SAFH 242 242 0 0.3 47 1 1.8E+03 194258 248 SAFH 243 243 0 0.3 34 1 1.2E+03 194277 249 SAFH 244 244 0 0.3 40 1 1E+03 194291 250 SAFH 245 245 0 0.3 30 1 6.8E+02 194308 251 SAFH 246 246 0 0.3 23 1 7.4E+02 194329 252 SAFH 247 247 0 0.3 30 1 7.1E+02 194419 253 SAFH 248 248 0 0.3 34 1 8.2E+02 194435 254 SAFH 249 249 0 0.3 31 1 6.7E+02 194441 255 SAFH 250 250 0 0.3 18 1 4.1E+02 194450 256 SAFH 251 251 0 0.3 24 1 6.7E+02 194459 257 SAFH 252 252 0 0.3 24 1 5.1E+02 194488 258 SAFH 253 253 0 0.3 24 1 4.1E+02 194517 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 254 254 0 0.3 28 1 6.2E+02 194554 260 SAFH 255 255 0 0.3 28 1 3.8E+02 194555 261 SAFH 256 256 0 0.3 25 1 3.7E+02 194567 262 SAFH 257 257 0 0.3 23 1 3.4E+02 194589 263 SAFH 258 258 0 0.3 21 1 3.5E+02 194594 264 SAFH 259 259 0 0.3 18 1 2.2E+02 194595 265 SAFH 260 260 0 0.3 18 1 2.7E+02 194605 266 SAFH 261 261 0 0.3 20 1 2.8E+02 194633 267 SAFH 262 262 0 0.3 20 1 2.7E+02 194642 268 SAFH 263 263 0 0.3 16 1 2.2E+02 194645 269 SAFH 264 264 0 0.3 13 1 1.7E+02 194656 270 SAFH 265 265 0 0.3 18 1 1.6E+02 194660 271 SAFH 266 266 0 0.3 16 1 1.4E+02 194667 272 SAFH 267 267 0 0.3 19 1 2.1E+02 194677 273 SAFH 268 268 0 0.3 19 1 2.1E+02 194680 274 SAFH 269 269 0 0.3 17 1 1.8E+02 194680 275 SAFH 270 270 0 0.3 16 1 99 194681 276 SAFH 271 271 0 0.3 15 1 1.7E+02 194701 277 SAFH 272 272 0 0.3 14 1 1.4E+02 194704 278 SAFH 273 273 0 0.3 16 1 1.2E+02 194705 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 274 274 0 0.3 18 1 1.9E+02 194706 280 SAFH 275 275 0 0.3 12 1 92 194707 281 SAFH 276 276 0 0.3 13 1 93 194708 282 SAFH 277 277 0 0.3 14 1 1.3E+02 194711 283 SAFH 278 278 0 0.3 9.8 1 1E+02 194713 284 SAFH 279 279 0 0.3 6.9 1 60 194718 285 SAFH 280 280 0 0.3 13 1 1.2E+02 194719 286 SAFH 281 281 0 0.3 10 1 63 194723 287 SAFH 282 282 0 0.3 11 1 75 194726 288 SAFH 283 283 0 0.3 11 1 68 194729 289 SAFH 284 284 0 0.3 12 1 74 194730 290 SAFH 285 285 0 0.3 12 1 61 194730 291 SAFH 286 286 0 0.3 6.1 1 39 194730 292 SAFH 287 287 0 0.3 8.5 1 54 194732 293 SAFH 288 288 0 0.3 6.4 1 54 194737 294 SAFH 289 289 0 0.3 6.7 1 40 194738 295 SAFH 290 290 0 0.3 8.6 1 34 194738 296 SAFH 291 291 0 0.3 8.1 1 40 194738 297 SAFH 292 292 0 0.3 7.6 1 47 194739 298 SAFH 293 293 0 0.3 8.2 1 30 194739 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 294 294 0 0.3 8.3 1 41 194740 300 SAFH 295 295 0 0.3 6.3 1 23 194742 301 SAFH 296 296 0 0.3 6.1 1 30 194744 302 SAFH 297 297 0 0.3 8.8 1 44 194744 303 SAFH 298 298 0 0.3 5.2 1 22 194745 304 SAFH 299 299 0 0.3 5.4 1 24 194747 305 SAFH 300 300 0 0.3 6.1 1 25 194747 306 SAFH 301 301 0 0.3 6.3 1 28 194748 307 SAFH 302 302 0 0.3 3.8 1 13 194748 308 SAFH 303 303 0 0.3 5.1 1 27 194749 309 SAFH 304 304 0 0.3 5.5 1 20 194750 310 SAFH 305 305 0 0.3 5.3 1 16 194751 311 SAFH 306 306 0 0.3 5.2 1 19 194751 312 SAFH 307 307 0 0.3 4.8 1 18 194751 313 SAFH 308 308 0 0.3 5.3 1 17 194751 314 SAFH 309 309 0 0.3 2.7 1 9.6 194752 315 SAFH 310 310 0 0.3 5.2 1 16 194753 316 SAFH 311 311 0 0.3 3.9 1 11 194753 317 SAFH 312 312 0 0.3 4 1 12 194753 318 SAFH 313 313 0 0.3 4.1 1 11 194753 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 314 314 0 0.3 4.2 1 10 194754 320 SAFH 315 315 0 0.3 4.1 1 7.7 194754 321 SAFH 316 316 0 0.3 3.3 1 7.3 194754 322 SAFH 317 317 0 0.3 3.8 1 8.9 194754 323 SAFH 318 318 0 0.3 3.1 1 7.3 194754 324 SAFH 319 319 0 0.3 2.8 1 6.6 194755 325 SAFH 320 320 0 0.3 1.9 1 5.7 194755 326 SAFH 321 321 0 0.3 2.9 1 5.5 194755 327 SAFH 322 322 0 0.3 2.9 1 5.1 194755 328 SAFH 323 323 0 0.3 2.7 1 4.5 194755 329 SAFH 324 324 0 0.3 2.8 1 4.4 194755 330 SAFH 325 325 0 0.3 2.5 1 5.7 194756 331 SAFH 326 326 0 0.3 3 1 4.9 194756 332 SAFH 327 327 0 0.3 2.2 1 2.9 194756 333 SAFH 328 328 0 0.3 3.1 1 4.7 194756 334 SAFH 329 329 0 0.3 2.3 1 2.7 194756 335 SAFH 330 330 0 0.3 1.5 1 2.7 194757 336 SAFH 331 331 0 0.3 2.4 1 3.3 194757 337 SAFH 332 332 0 0.3 2.1 1 2.6 194757 338 SAFH 333 333 0 0.3 1.5 1 2.6 194757 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 334 334 0 0.3 1.4 1 2.5 194757 340 SAFH 335 335 0 0.3 1.4 1 1.8 194757 341 SAFH 336 336 0 0.3 1.3 1 1.7 194757 342 SAFH 337 337 0 0.3 1.7 1 1.6 194757 343 SAFH 338 338 0 0.3 1.8 1 2.7 194757 344 SAFH 339 339 0 0.3 1.8 1 1.5 194757 345 SAFH 340 340 0 0.3 1.9 1 1.8 194757 346 SAFH 341 341 0 0.3 1.7 1 1.4 194757 347 SAFH 342 342 0 0.3 1.7 1 1.3 194757 348 SAFH 343 343 0 0.3 1.2 1 1 194758 349 SAFH 344 344 0 0.3 1.1 1 1.2 194758 350 SAFH 345 345 0 0.3 1.2 1 0.79 194758 351 SAFH 346 346 0 0.3 1.3 1 0.9 194758 352 SAFH 347 347 0 0.3 1.1 1 1 194758 353 SAFH 348 348 0 0.3 1 1 0.85 194758 354 SAFH 349 349 0 0.3 1.2 1 1 194758 355 SAFH 350 350 0 0.3 0.91 1 0.78 194758 356 SAFH 351 351 0 0.3 1 1 0.48 194758 357 SAFH 352 352 0 0.3 1.2 1 0.93 194758 358 SAFH 353 353 0 0.3 0.64 1 0.59 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 354 354 0 0.3 1 1 0.67 194758 360 SAFH 355 355 0 0.3 1 1 0.58 194758 361 SAFH 356 356 0 0.3 0.98 1 0.5 194758 362 SAFH 357 357 0 0.3 0.64 1 0.45 194758 363 SAFH 358 358 0 0.3 0.94 1 0.51 194758 364 SAFH 359 359 0 0.3 0.61 1 0.35 194758 365 SAFH 360 360 0 0.3 0.63 1 0.34 194758 366 SAFH 361 361 0 0.3 0.81 1 0.47 194758 367 SAFH 362 362 0 0.3 0.72 1 0.28 194758 368 SAFH 363 363 0 0.3 0.74 1 0.33 194758 369 SAFH 364 364 0 0.3 0.65 1 0.48 194758 370 SAFH 365 365 0 0.3 0.6 1 0.23 194758 371 SAFH 366 366 0 0.3 0.84 1 0.37 194758 372 SAFH 367 367 0 0.3 0.67 1 0.24 194758 373 SAFH 368 368 0 0.3 0.59 1 0.26 194758 374 SAFH 369 369 0 0.3 0.45 1 0.19 194758 375 SAFH 370 370 0 0.3 0.48 1 0.17 194758 376 SAFH 371 371 0 0.3 0.59 1 0.19 194758 377 SAFH 372 372 0 0.3 0.47 1 0.16 194758 378 SAFH 373 373 0 0.3 0.47 1 0.14 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 374 374 0 0.3 0.44 1 0.17 194758 380 SAFH 375 375 0 0.3 0.36 1 0.12 194758 381 SAFH 376 376 0 0.3 0.44 1 0.11 194758 382 SAFH 377 377 0 0.3 0.4 1 0.11 194758 383 SAFH 378 378 0 0.3 0.42 1 0.1 194758 384 SAFH 379 379 0 0.3 0.44 1 0.1 194758 385 SAFH 380 380 0 0.3 0.42 1 0.084 194758 386 SAFH 381 381 0 0.3 0.3 1 0.077 194758 387 SAFH 382 382 0 0.3 0.34 1 0.069 194758 388 SAFH 383 383 0 0.3 0.26 1 0.063 194758 389 SAFH 384 384 0 0.3 0.35 1 0.074 194758 390 SAFH 385 385 0 0.3 0.2 1 0.052 194758 391 SAFH 386 386 0 0.3 0.26 1 0.054 194758 392 SAFH 387 387 0 0.3 0.28 1 0.054 194758 393 SAFH 388 388 0 0.3 0.24 1 0.044 194758 394 SAFH 389 389 0 0.3 0.31 1 0.041 194758 395 SAFH 390 390 0 0.3 0.22 1 0.039 194758 396 SAFH 391 391 0 0.3 0.21 1 0.035 194758 397 SAFH 392 392 0 0.3 0.17 1 0.032 194758 398 SAFH 393 393 0 0.3 0.19 1 0.031 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 394 394 0 0.3 0.2 1 0.025 194758 400 SAFH 395 395 0 0.3 0.14 1 0.021 194758 401 SAFH 396 396 0 0.2 0.17 1 0.026 194758 402 SAFH 397 397 0 0.2 0.18 1 0.02 194758 403 SAFH 398 398 0 0.2 0.18 1 0.019 194758 404 SAFH 399 399 0 0.2 0.11 1 0.017 194758 405 SAFH 400 400 0 0.2 0.17 1 0.015 194758 406 SAFH 401 401 0 0.2 0.16 1 0.014 194758 407 SAFH 402 402 0 0.2 0.12 1 0.012 194758 408 SAFH 403 403 0 0.2 0.16 1 0.013 194758 409 SAFH 404 404 0 0.2 0.13 1 0.01 194758 410 SAFH 405 405 0 0.2 0.1 1 0.011 194758 411 SAFH 406 406 0 0.2 0.11 1 0.0085 194758 412 SAFH 407 407 0 0.2 0.11 1 0.0071 194758 413 SAFH 408 408 0 0.2 0.12 1 0.0093 194758 414 SAFH 409 409 0 0.2 0.1 1 0.0067 194758 415 SAFH 410 410 0 0.2 0.076 1 0.008 194758 416 SAFH 411 411 0 0.2 0.11 1 0.0066 194758 417 SAFH 412 412 0 0.2 0.093 1 0.0058 194758 418 SAFH 413 413 0 0.2 0.09 1 0.005 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 414 414 0 0.2 0.089 1 0.0052 194758 420 SAFH 415 415 0 0.2 0.091 1 0.0036 194758 421 SAFH 416 416 0 0.2 0.057 1 0.0041 194758 422 SAFH 417 417 0 0.2 0.083 1 0.0043 194758 423 SAFH 418 418 0 0.2 0.072 1 0.003 194758 424 SAFH 419 419 0 0.2 0.067 1 0.0034 194758 425 SAFH 420 420 0 0.2 0.072 1 0.0025 194758 426 SAFH 421 421 0 0.2 0.068 1 0.003 194758 427 SAFH 422 422 0 0.2 0.069 1 0.0026 194758 428 SAFH 423 423 0 0.2 0.069 1 0.0023 194758 429 SAFH 424 424 0 0.2 0.048 1 0.002 194758 430 SAFH 425 425 0 0.2 0.053 1 0.0018 194758 431 SAFH 426 426 0 0.2 0.047 1 0.0019 194758 432 SAFH 427 427 0 0.2 0.049 1 0.0016 194758 433 SAFH 428 428 0 0.2 0.046 1 0.0013 194758 434 SAFH 429 429 0 0.2 0.057 1 0.0019 194758 435 SAFH 430 430 0 0.2 0.037 1 0.0011 194758 436 SAFH 431 431 0 0.2 0.049 1 0.0013 194758 437 SAFH 432 432 0 0.2 0.036 1 0.0011 194758 438 SAFH 433 433 0 0.2 0.034 1 0.0013 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 434 434 0 0.2 0.037 1 0.00092 194758 440 SAFH 435 435 0 0.2 0.036 1 0.00088 194758 441 SAFH 436 436 0 0.2 0.028 1 0.00078 194758 442 SAFH 437 437 0 0.2 0.038 1 0.00077 194758 443 SAFH 438 438 0 0.2 0.042 1 0.0008 194758 444 SAFH 439 439 0 0.2 0.03 1 0.00049 194758 445 SAFH 440 440 0 0.2 0.028 1 0.00058 194758 446 SAFH 441 441 0 0.2 0.027 1 0.00055 194758 447 SAFH 442 442 0 0.2 0.031 1 0.00058 194758 448 SAFH 443 443 0 0.2 0.025 1 0.00047 194758 449 SAFH 444 444 0 0.2 0.022 1 0.00038 194758 450 SAFH 445 445 0 0.2 0.018 1 0.00048 194758 451 SAFH 446 446 0 0.2 0.026 1 0.00035 194758 452 SAFH 447 447 0 0.2 0.023 1 0.00026 194758 453 SAFH 448 448 0 0.2 0.028 1 0.0005 194758 454 SAFH 449 449 0 0.2 0.02 1 0.00036 194758 455 SAFH 450 450 0 0.2 0.023 1 0.00036 194758 456 SAFH 451 451 0 0.2 0.016 1 0.00022 194758 457 SAFH 452 452 0 0.2 0.017 1 0.00022 194758 458 SAFH 453 453 0 0.2 0.02 1 0.00025 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 454 454 0 0.2 0.018 1 0.00028 194758 460 SAFH 455 455 0 0.2 0.014 1 0.0002 194758 461 SAFH 456 456 0 0.2 0.019 1 0.00026 194758 462 SAFH 457 457 0 0.2 0.015 1 0.00014 194758 463 SAFH 458 458 0 0.2 0.015 1 0.00017 194758 464 SAFH 459 459 0 0.2 0.014 1 0.00017 194758 465 SAFH 460 460 0 0.2 0.015 1 0.00016 194758 466 SAFH 461 461 0 0.2 0.013 1 0.00015 194758 467 SAFH 462 462 0 0.2 0.011 1 0.00012 194758 468 SAFH 463 463 0 0.2 0.014 1 0.00011 194758 469 SAFH 464 464 0 0.2 0.013 1 0.00013 194758 470 SAFH 465 465 0 0.2 0.011 1 8E-05 194758 471 SAFH 466 466 0 0.2 0.014 1 0.00012 194758 472 SAFH 467 467 0 0.2 0.011 1 9E-05 194758 473 SAFH 468 468 0 0.2 0.01 1 7.6E-05 194758 474 SAFH 469 469 0 0.2 0.01 1 6.5E-05 194758 475 SAFH 470 470 0 0.2 0.01 1 8.5E-05 194758 476 SAFH 471 471 0 0.2 0.0076 1 5.3E-05 194758 477 SAFH 472 472 0 0.2 0.01 1 6.1E-05 194758 478 SAFH 473 473 0 0.2 0.011 1 6.3E-05 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 474 474 0 0.2 0.01 1 5.2E-05 194758 480 SAFH 475 475 0 0.2 0.0075 1 4.5E-05 194758 481 SAFH 476 476 0 0.2 0.0082 1 4.5E-05 194758 482 SAFH 477 477 0 0.2 0.0069 1 3.2E-05 194758 483 SAFH 478 478 0 0.2 0.0062 1 4E-05 194758 484 SAFH 479 479 0 0.2 0.0087 1 3.5E-05 194758 485 SAFH 480 480 0 0.2 0.0061 1 3.6E-05 194758 486 SAFH 481 481 0 0.2 0.0085 1 3.5E-05 194758 487 SAFH 482 482 0 0.2 0.0071 1 2.6E-05 194758 488 SAFH 483 483 0 0.2 0.0061 1 2.1E-05 194758 489 SAFH 484 484 0 0.2 0.0054 1 3.3E-05 194758 490 SAFH 485 485 0 0.2 0.005 1 2.2E-05 194758 491 SAFH 486 486 0 0.2 0.0057 1 2E-05 194758 492 SAFH 487 487 0 0.2 0.0051 1 1.9E-05 194758 493 SAFH 488 488 0 0.2 0.0053 1 2.1E-05 194758 494 SAFH 489 489 0 0.2 0.0056 1 1.7E-05 194758 495 SAFH 490 490 0 0.2 0.0048 1 1.4E-05 194758 496 SAFH 491 491 0 0.2 0.0054 1 1.5E-05 194758 497 SAFH 492 492 0 0.2 0.0036 1 1.1E-05 194758 498 SAFH 493 493 0 0.2 0.0053 1 1.3E-05 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 494 494 0 0.2 0.0044 1 1.1E-05 194758 500 SAFH 495 495 0 0.2 0.0048 1 1.8E-05 194758 501 SAFH 496 496 0 0.2 0.0044 1 1.1E-05 194758 502 SAFH 497 497 0 0.2 0.0041 1 1.2E-05 194758 503 SAFH 498 498 0 0.2 0.0033 1 7.6E-06 194758 504 SAFH 499 499 0 0.2 0.0035 1 6.5E-06 194758 505 SAFH 500 500 0 0.2 0.0026 1 8.6E-06 194758 506 SAFH 501 501 0 0.2 0.0027 1 9.5E-06 194758 507 SAFH 502 502 0 0.2 0.0031 1 7E-06 194758 508 SAFH 503 503 0 0.2 0.0026 1 5.4E-06 194758 509 SAFH 504 504 0 0.2 0.0028 1 6.7E-06 194758 510 SAFH 505 505 0 0.2 0.0025 1 4.5E-06 194758 511 SAFH 506 506 0 0.2 0.0027 1 4.6E-06 194758 512 SAFH 507 507 0 0.2 0.0026 1 5.3E-06 194758 513 SAFH 508 508 0 0.2 0.003 1 4.2E-06 194758 514 SAFH 509 509 0 0.2 0.0023 1 4.1E-06 194758 515 SAFH 510 510 0 0.2 0.0022 1 3.5E-06 194758 516 SAFH 511 511 0 0.2 0.0027 1 3.1E-06 194758 517 SAFH 512 512 0 0.2 0.0023 1 3E-06 194758 518 SAFH 513 513 0 0.2 0.0022 1 2.4E-06 194758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 514 514 0 0.2 0.0016 1 2.4E-06 194758 520 SAFH 515 515 0 0.2 0.002 1 2.4E-06 194758 521 SAFH 516 516 0 0.2 0.002 1 2E-06 194758 522 SAFH 517 517 0 0.2 0.0017 1 2.4E-06 194758 523 SAFH 518 518 0 0.2 0.0016 1 1.8E-06 194758 524 SAFH 519 519 0 0.2 0.00099 1 1.4E-06 194758 525 SAFH 520 520 0 0.2 0.0017 1 1.7E-06 194758 526 SAFH 521 521 0 0.2 0.0015 1 1.3E-06 194758 527 SAFH 522 522 0 0.2 0.0014 1 1.1E-06 194758 528 SAFH 523 523 0 0.2 0.0014 1 1.1E-06 194758 529 SAFH 524 524 0 0.2 0.0011 1 1E-06 194758 530 SAFJ 525 525 0 0.2 0.0011 0 9.6E-07 194758 531 SAFJ 525 525 0 0.1 0 0 9.6E-07 194758 532 AFG 525 525 0 0 3.9E+02 0 0 124153 532 FOUND SOLUTION: 124153 (NLP) in 68 sec. 533 AFH 525 525 0 0 2.8E+02 1 2.6E+05 -61954.4 534 AFG 526 526 0 0 4.1E+02 0 0 107894 534 FOUND SOLUTION: 107894 (NLP) in 69 sec. 535 AFH 526 526 0 0 2.5E+02 1 2.1E+05 -19824.6 536 AFG 527 527 0 0 3.8E+02 0 0 87242.8 536 FOUND SOLUTION: 87242.8 (NLP) in 70 sec. 537 AFH 527 527 0 0 99 1 1.1E+05 -10161.7 538 AFH 528 528 0 0 4.1E+02 1 1.2E+05 38922.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 529 529 0 0 3.5E+02 1 1.1E+05 46097.2 540 AFG 530 530 0 0 2.4E+02 0 0 85933.5 540 FOUND SOLUTION: 85933.5 (NLP) in 79 sec. 541 AFH 530 530 0 0 1.3E+02 1 1E+05 48916.6 542 AFH 531 531 0 0 1.2E+02 1 5.3E+04 49804.1 543 AFH 532 532 0 0 3.2E+02 1 8E+04 60986.2 544 AFH 533 533 0 0 2.2E+02 1 4.7E+04 62729 545 AFH 534 534 0 0 2.7E+02 1 5.6E+04 64957.8 546 AFH 535 535 0 0 2E+02 1 7.1E+04 65265.4 547 AFH 536 536 0 0 1.5E+02 1 3.9E+04 65303.1 548 AFH 537 537 0 0 2E+02 1 2.5E+04 66012.6 549 AFH 538 538 0 0 1.6E+02 1 3.7E+04 67563.1 550 AFG 539 539 0 0 75 0 0 85717.6 550 FOUND SOLUTION: 85717.6 (NLP) in 109 sec. 551 AFH 539 539 0 0 1.6E+02 1 4.6E+04 68011.3 552 AFH 540 540 0 0 1.7E+02 1 2.4E+04 68097.6 553 AFH 541 541 0 0 2.4E+02 1 2.8E+04 70374.5 554 AFH 542 542 0 0 2.2E+02 1 3.3E+04 72064.4 555 AFH 543 543 0 0 1.9E+02 1 2.1E+04 73003.5 556 AFH 544 544 0 0 1.9E+02 1 2.3E+04 73286.7 557 AFH 545 545 0 0 1.9E+02 1 1.9E+04 74179.2 558 AFH 546 546 0 0 1.9E+02 1 1.7E+04 74752 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 AFG 547 547 0 0 1E+02 0 0 85004.1 559 FOUND SOLUTION: 85004.1 (NLP) in 131 sec. 560 AFH 547 547 0 0 48 1 1.3E+04 75624.9 561 AFH 548 548 0 0 1.9E+02 1 1.7E+04 76225 562 AFH 549 549 0 0 1.9E+02 1 2.3E+04 76669.8 563 AFH 550 550 0 0 1.9E+02 1 1.4E+04 76960.3 564 AFH 551 551 0 0 1.8E+02 1 1.1E+04 76967.2 565 AFH 552 552 0 0 1.4E+02 1 1.3E+04 78698.8 566 AFH 553 553 0 0 1.8E+02 1 1.5E+04 79118.6 567 AFH 554 554 0 0 1.9E+02 1 1.4E+04 79381 568 AFH 555 555 0 0 2.5E+02 1 1.1E+04 79464.3 569 AFH 556 556 0 0 1.8E+02 1 2.3E+04 79563.4 570 AFH 557 557 0 0 99 1 1.1E+04 79693.6 571 AFH 558 558 0 0 1.7E+02 1 9.5E+03 79773 572 AFH 559 559 0 0 1.8E+02 1 1.1E+04 79836 573 AFH 560 560 0 0 1.4E+02 1 8.4E+03 80090.7 574 AFH 561 561 0 0 1.3E+02 1 6.4E+03 80093.2 575 AFH 562 562 0 0 1.3E+02 1 1.4E+04 80458.1 576 AFH 563 563 0 0 1E+02 1 9.9E+03 80533 577 AFH 564 564 0 0 1.4E+02 1 8.7E+03 80935.2 578 AFH 565 565 0 0 1.5E+02 1 7.1E+03 80999.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 AFG 566 566 0 0 80 0 0 84960.2 579 FOUND SOLUTION: 84960.2 (NLP) in 180 sec. 580 AFH 566 566 0 0 54 1 6.6E+03 81657.8 581 AFH 567 567 0 0 1.3E+02 1 8.9E+03 81686.1 582 AFH 568 568 0 0 1.5E+02 1 5E+03 81850 583 AFH 569 569 0 0 1.8E+02 1 9.1E+03 81862.2 584 AFH 570 570 0 0 1.2E+02 1 6.3E+03 81991.8 585 AFH 571 571 0 0 1.6E+02 1 6.1E+03 82080.6 586 AFH 572 572 0 0 1.6E+02 1 5E+03 82325 587 AFH 573 573 0 0 1.5E+02 1 1E+04 82357.2 588 AFH 574 574 0 0 1.4E+02 1 6.3E+03 82361.4 589 AFH 575 575 0 0 41 1 3.1E+03 82573.6 590 AFH 576 576 0 0 1.5E+02 1 1E+04 82633.2 591 AFH 577 577 0 0 1.6E+02 1 2.6E+04 82710 592 AFH 578 578 0 0 2.3E+02 1 6.7E+03 82946 593 AFH 579 579 0 0 1.2E+02 1 5.9E+03 82994.3 594 AFH 580 580 0 0 1.3E+02 1 9E+03 83068.8 595 AFH 581 581 0 0 1.9E+02 1 1.4E+04 83077.7 596 AFH 582 582 0 0 1.7E+02 1 3.4E+03 83112.9 597 AFH 583 583 0 0 1.5E+02 1 9E+03 83295.2 598 AFH 584 584 0 0 1.6E+02 1 3.5E+03 83361.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 AFH 585 585 0 0 1.3E+02 1 5.4E+03 83375.1 600 AFH 586 586 0 0 92 1 2.6E+03 83477.9 601 AFH 587 587 0 0 41 1 2.7E+03 83592.7 602 AFH 588 588 0 0 1.3E+02 1 5.1E+03 83690.5 603 AFH 589 589 0 0 1.3E+02 1 2.4E+03 83720.7 604 AFH 590 590 0 0 89 1 1.9E+03 83745.3 605 AFH 591 591 0 0 1.8E+02 1 8E+03 83828.2 606 AFH 592 592 0 0 1.3E+02 1 6E+03 83905.5 607 AFH 593 593 0 0 1.4E+02 1 7.1E+03 83913.4 608 AFH 594 594 0 0 1.4E+02 1 1.4E+03 83933.9 609 AFH 595 595 0 0 87 1 5.4E+03 83950.6 610 AFH 596 596 0 0 96 1 2.1E+03 83969.6 611 AFH 597 597 0 0 1.1E+02 1 5E+03 84000.6 612 AFH 598 598 0 0 1.6E+02 1 5.3E+03 84043 613 AFH 599 599 0 0 60 1 3.5E+03 84100.2 614 AFH 600 600 0 0 90 1 2.2E+03 84142.5 615 AFH 601 601 0 0 64 1 1.7E+03 84244.2 616 AFH 602 602 0 0 30 1 9.2E+02 84258.9 617 AFH 603 603 0 0 1.3E+02 1 8.3E+03 84354.6 618 AFH 604 604 0 0 1.5E+02 1 1.5E+03 84355.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 AFH 605 605 0 0 1.1E+02 1 4.5E+03 84371.2 620 AFH 606 606 0 0 1.5E+02 1 3.3E+03 84421.8 621 AFH 607 607 0 0 1.5E+02 1 1.4E+03 84422.9 622 AFH 608 608 0 0 31 1 7.5E+02 84436.8 623 AFH 609 609 0 0 56 1 2.4E+03 84448.4 624 AFH 610 610 0 0 1.3E+02 1 5.3E+03 84518.5 625 AFH 611 611 0 0 2E+02 1 3.4E+03 84540.8 626 AFH 612 612 0 0 1.4E+02 1 1.1E+03 84616.6 627 AFH 613 613 0 0 62 1 3E+03 84624.2 628 AFH 614 614 0 0 67 1 6.6E+02 84638.1 629 AFH 615 615 0 0 78 1 2.8E+03 84656.1 630 AFH 616 616 0 0 1.1E+02 1 3.1E+03 84658.1 631 AFH 617 617 0 0 78 1 7E+02 84673.4 632 AFH 618 618 0 0 26 1 4.5E+02 84677.2 633 AFH 619 619 0 0 25 1 3.8E+02 84691.5 634 AFH 620 620 0 0 23 1 5.3E+02 84710.4 635 AFH 621 621 0 0 29 1 6.2E+02 84716.8 636 AFH 622 622 0 0 49 1 1.4E+03 84726.1 637 AFH 623 623 0 0 99 1 2.1E+03 84736 638 AFH 624 624 0 0 76 1 4.5E+02 84755.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 AFH 625 625 0 0 11 1 2.3E+02 84758.4 640 AFH 626 626 0 0 1.2E+02 1 4E+03 84823.4 641 AFH 627 627 0 0 1.2E+02 1 3.8E+02 84837.1 642 AFH 628 628 0 0 1.5E+02 1 7.5E+03 84846.5 643 AFH 629 629 0 0 1.4E+02 1 4.6E+03 84851.3 644 AFH 630 630 0 0 1.2E+02 1 1.7E+03 84853 645 AFH 631 631 0 0 55 1 3.5E+02 84858.4 646 AFH 632 632 0 0 9.5 1 1.9E+02 84861.1 647 AFH 633 633 0 0 69 1 2.9E+03 84861.1 648 AFH 634 634 0 0 68 1 1.9E+02 84875.2 649 AFH 635 635 0 0 11 1 2.2E+02 84879.9 650 AFH 636 636 0 0 1E+02 1 1.9E+03 84884.5 651 AFH 637 637 0 0 99 1 1.8E+02 84886.6 652 AFH 638 638 0 0 7.7 1 1E+02 84889.3 653 AFH 639 639 0 0 10 1 1.3E+02 84896.5 654 AFH 640 640 0 0 9.6 1 1.2E+02 84905 655 AFH 641 641 0 0 11 1 1.8E+02 84908.9 656 AFH 642 642 0 0 1.1E+02 1 4.7E+03 84911.4 657 AFH 643 643 0 0 1.1E+02 1 88 84913.7 658 AFH 644 644 0 0 9.2 1 70 84914.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 AFH 645 645 0 0 7.3 1 58 84920 660 AFH 646 646 0 0 6.2 1 76 84925.5 661 AFH 647 647 0 0 5.1 1 54 84929.9 662 AFH 648 648 0 0 4.7 1 34 84931.6 663 AFH 649 649 0 0 8.7 1 64 84939.6 664 AFH 650 650 0 0 7.9 1 60 84942.1 665 AFH 651 651 0 0 4.6 1 26 84944 666 AFH 652 652 0 0 4.3 1 34 84947.3 667 AFH 653 653 0 0 6.1 1 39 84949 668 AFH 654 654 0 0 4.9 1 19 84950 669 AFH 655 655 0 0 5.1 1 24 84950.2 670 AFH 656 656 0 0 4.3 1 16 84950.5 671 AFH 657 657 0 0 4 1 19 84951.1 672 AFH 658 658 0 0 3 1 11 84952.2 673 AFH 659 659 0 0 3.3 1 13 84953.3 674 AFH 660 660 0 0 3.8 1 11 84953.4 675 AFH 661 661 0 0 3.7 1 13 84954.8 676 AFH 662 662 0 0 2.4 1 8.4 84955.4 677 AFH 663 663 0 0 1.8 1 5.6 84955.5 678 AFH 664 664 0 0 2.3 1 7.5 84957.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 AFH 665 665 0 0 1.3 1 6.7 84957.4 680 AFH 666 666 0 0 1.6 1 5.2 84957.9 681 AFH 667 667 0 0 1.9 1 3.6 84957.9 682 AFH 668 668 0 0 2.2 1 5.5 84958.4 683 AFH 669 669 0 0 1.8 1 3 84958.5 684 AFH 670 670 0 0 1.6 1 3.6 84958.7 685 AFH 671 671 0 0 1.2 1 3.2 84958.7 686 AFH 672 672 0 0 0.79 1 2 84959 687 AFH 673 673 0 0 1.4 1 1.5 84959 688 AFH 674 674 0 0 1.3 1 3 84959.3 689 AFH 675 675 0 0 0.92 1 1.6 84959.3 690 AFH 676 676 0 0 1 1 2.7 84959.5 691 AFH 677 677 0 0 2.7 1 1.3 84959.6 692 AFH 678 678 0 0 2.9 1 1.8 84959.6 693 AFH 679 679 0 0 0.81 1 0.98 84959.6 694 AFH 680 680 0 0 0.67 1 0.8 84959.7 695 AFH 681 681 0 0 0.88 1 1.2 84959.7 696 AFH 682 682 0 0 0.84 1 0.64 84959.8 697 AFH 683 683 0 0 0.94 1 0.68 84959.9 698 AFH 684 684 0 0 0.79 1 0.71 84959.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 AFH 685 685 0 0 0.54 1 0.44 84959.9 700 AFH 686 686 0 0 0.51 1 0.36 84959.9 701 AFH 687 687 0 0 0.57 1 0.38 84960 702 AFH 688 688 0 0 0.56 1 0.38 84960.1 703 AFH 689 689 0 0 0.46 1 0.4 84960.1 704 AFH 690 690 0 0 0.38 1 0.18 84960.1 705 AFH 691 691 0 0 0.58 1 0.32 84960.1 706 AFH 692 692 0 0 0.27 1 0.2 84960.1 707 AFH 693 693 0 0 0.21 1 0.22 84960.1 708 AFH 694 694 0 0 2.3 1 0.16 84960.1 709 AFH 695 695 0 0 0.34 1 0.13 84960.1 710 AFH 696 696 0 0 0.22 1 0.12 84960.1 711 AFH 697 697 0 0 0.25 1 0.09 84960.2 712 AFH 698 698 0 0 0.31 1 0.093 84960.2 713 AFH 699 699 0 0 2.1 1 0.071 84960.2 714 AFH 700 700 0 0 0.18 1 0.061 84960.2 715 AFH 701 701 0 0 0.18 1 0.054 84960.2 716 AFH 702 702 0 0 0.21 1 0.046 84960.2 717 AFH 703 703 0 0 0.12 1 0.038 84960.2 718 AFH 704 704 0 0 0.14 1 0.034 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 AFH 705 705 0 0 0.15 1 0.027 84960.2 720 AFH 706 706 0 0 0.19 1 0.026 84960.2 721 AFH 707 707 0 0 0.15 1 0.02 84960.2 722 AFH 708 708 0 0 0.095 1 0.017 84960.2 723 AFH 709 709 0 0 0.12 1 0.015 84960.2 724 AFH 710 710 0 0 0.11 1 0.013 84960.2 725 AFH 711 711 0 0 0.092 1 0.011 84960.2 726 AFH 712 712 0 0 0.075 1 0.0096 84960.2 727 AFH 713 713 0 0 0.088 1 0.0077 84960.2 728 AFH 714 714 0 0 0.1 1 0.0073 84960.2 729 AFH 715 715 0 0 0.072 1 0.0057 84960.2 730 AFH 716 716 0 0 0.072 1 0.005 84960.2 731 AFH 717 717 0 0 0.062 1 0.0044 84960.2 732 AFH 718 718 0 0 0.045 1 0.0037 84960.2 733 AFH 719 719 0 0 0.041 1 0.0031 84960.2 734 AFH 720 720 0 0 0.04 1 0.0027 84960.2 735 AFH 721 721 0 0 0.036 1 0.0022 84960.2 736 AFH 722 722 0 0 0.053 1 0.0021 84960.2 737 AFH 723 723 0 0 0.041 1 0.0016 84960.2 738 AFH 724 724 0 0 0.038 1 0.0014 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 AFH 725 725 0 0 0.033 1 0.0012 84960.2 740 AFH 726 726 0 0 0.024 1 0.001 84960.2 741 AFH 727 727 0 0 0.03 1 0.00088 84960.2 742 AFH 728 728 0 0 0.021 1 0.00077 84960.2 743 AFH 729 729 0 0 2 1 0.00068 84960.2 744 AFH 730 730 0 0 0.02 1 0.00052 84960.2 745 AFH 731 731 0 0 0.024 1 0.00044 84960.2 746 AFH 732 732 0 0 0.016 1 0.00043 84960.2 747 AFH 733 733 0 0 2 1 0.00038 84960.2 748 AFH 734 734 0 0 0.018 1 0.00028 84960.2 749 AFH 735 735 0 0 0.018 1 0.00026 84960.2 750 AFH 736 736 0 0 0.012 1 0.0002 84960.2 751 AFH 737 737 0 0 0.0087 1 0.00016 84960.2 752 AFH 738 738 0 0 0.01 1 0.00015 84960.2 753 AFH 739 739 0 0 0.011 1 0.00013 84960.2 754 AFH 740 740 0 0 0.0065 1 0.00013 84960.2 755 AFH 741 741 0 0 0.0065 1 8.1E-05 84960.2 756 AFH 742 742 0 0 0.0094 1 8.1E-05 84960.2 757 AFH 743 743 0 0 0.0098 1 8.1E-05 84960.2 758 AFH 744 744 0 0 0.0069 1 6.1E-05 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 AFH 745 745 0 0 0.0061 1 5E-05 84960.2 760 AFH 746 746 0 0 0.0068 1 4.5E-05 84960.2 761 AFH 747 747 0 0 0.0036 1 3.8E-05 84960.2 762 AFH 748 748 0 0 0.0052 1 3.7E-05 84960.2 763 AFH 749 749 0 0 0.0027 1 2.7E-05 84960.2 764 AFH 750 750 0 0 0.0051 1 2.3E-05 84960.2 765 AFH 751 751 0 0 0.0034 1 2.4E-05 84960.2 766 AFH 752 752 0 0 0.0032 1 2.1E-05 84960.2 767 AFH 753 753 0 0 0.0036 1 1.3E-05 84960.2 768 AFH 754 754 0 0 0.0046 1 1.8E-05 84960.2 769 AFH 755 755 0 0 0.0031 1 1.1E-05 84960.2 770 AFH 756 756 0 0 0.0031 1 1.5E-05 84960.2 771 AFH 757 757 0 0 0.0025 1 9E-06 84960.2 772 AFH 758 758 0 0 0.0025 1 1.1E-05 84960.2 773 AFH 759 759 0 0 0.003 1 8.8E-06 84960.2 774 AFH 760 760 0 0 2 1 5.5E-06 84960.2 775 AFH 761 761 0 0 2 1 6E-06 84960.2 776 AFH 762 762 0 0 2 1 6.7E-06 84960.2 777 AFH 763 763 0 0 2 1 4.2E-06 84960.2 778 AFH 764 764 0 0 0.0021 1 3.9E-06 84960.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 AFH 765 765 0 0 0.0017 1 3.6E-06 84960.2 780 AFH 766 766 0 0 0.0013 1 3.5E-06 84960.2 781 AFH 767 767 0 0 0.0012 1 2E-06 84960.2 782 AFH 768 768 0 0 0.0021 1 3.9E-06 84960.2 783 AFH 769 769 0 0 0.0011 1 2.1E-06 84960.2 784 AFH 770 770 0 0 0.00072 1 1.9E-06 84960.2 785 AFH 771 771 0 0 0.0016 1 2.1E-06 84960.2 786 AFH 772 772 0 0 0.0011 1 1.4E-06 84960.2 787 AFH 773 773 0 0 0.00077 1 1.4E-06 84960.2 788 AFJ 774 774 0 0 0.00091 0 8.7E-07 84960.2 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.56_SLay08M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 84960.21241938334424 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 84960.21241938334424 Max constraint (1) : -0 Time used (seconds) : 821.36 Time limit (seconds) : 7200 Iterations used : 788 Iteration limit : -1 Function evaluations : 2218 Gradient evaluations : 775 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.5 % Optimal/total MIPs : 257/788 NLP solver calls : 789 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay08M.gms(633) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay08M.gms Stop 09/14/12 14:51:51 elapsed 0:13:41.543 @04 1347627111 ----------------------------- Fr 14. Sep 14:51:51 CEST 2012 ----------------------------- =ready= Linux opt204 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay09H.gms =========== ----------------------------- Fr 14. Sep 14:38:11 CEST 2012 ----------------------------- @03 1347626291 --- Job SLay09H.gms Start 09/14/12 14:38:11 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay09H.gms(2383) 2 Mb --- Starting execution: elapsed 0:00:00.020 --- SLay09H.gms(2381) 3 Mb --- Generating MIQCP model m --- SLay09H.gms(2383) 6 Mb --- 1,045 rows 811 columns 2,971 non-zeroes --- 75 nl-code 18 nl-non-zeroes --- 144 discrete-columns --- SLay09H.gms(2383) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.033 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.57_SLay09H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2971 elements of which 1% are non-linear(NL) included in 1045 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 18 from a total of 811 variables: Continuous(667), Binary(144), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=172 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 7.7E+05 NA 1 SAFG 1 1 0 1 2.9E+03 0 0 308970 1 FOUND SOLUTION: 308970 (NLP) in 1 sec. 2 SAFH 1 1 0 1 2.7E+03 1 3.2E+06 -1.77038E+06 3 SAFG 2 2 0 1 6.3E+03 0 0 234655 3 FOUND SOLUTION: 234655 (NLP) in 1 sec. 4 SAFH 2 2 0 1 1.5E+03 1 1.7E+06 -1.09148E+06 5 SAFG 3 3 0 1 4.5E+03 0 0 160693 5 FOUND SOLUTION: 160693 (NLP) in 1 sec. 6 SAFH 3 3 0 1 1.7E+03 1 1.3E+06 -665304 7 SAFH 4 4 0 1 5.4E+03 1 1.1E+06 -505828 8 SAFH 5 5 0 1 3.9E+03 1 8.9E+05 -59399.3 9 SAFH 6 6 0 1 1.7E+03 1 5.1E+05 115694 10 SAFH 7 7 0 1 5.2E+03 1 7.8E+05 -378427 11 SAFH 8 8 0 1 4E+03 1 7.9E+05 -274067 12 SAFH 9 9 0 1 3.6E+03 1 5.2E+05 -232555 13 SAFH 10 10 0 1 4.2E+03 1 4.7E+05 -190613 14 SAFH 11 11 0 1 3.6E+03 1 4.2E+05 11576.6 15 SAFH 12 12 0 1 3.4E+03 1 4.1E+05 32463.4 16 SAFH 13 13 0 1 6.1E+03 1 5.7E+05 249887 17 SAFH 14 14 0 1 1.4E+03 1 3.8E+05 302591 18 SAFH 15 15 0 1 1.3E+03 1 3.1E+05 345051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 16 16 0 1 1.2E+03 1 2.3E+05 395212 20 SAFH 17 17 0 1 8.8E+02 1 1.6E+05 416516 21 SAFH 18 18 0 1 9.1E+02 1 1.7E+05 435832 22 SAFH 19 19 0 1 8.8E+02 1 1.1E+05 462897 23 SAFH 20 20 0 1 4.8E+02 1 8.8E+04 478272 24 SAFH 21 21 0 1 7.2E+02 1 8.7E+04 486013 25 SAFH 22 22 0 1 5.5E+02 1 8.6E+04 489379 26 SAFH 23 23 0 1 4.8E+02 1 5.7E+04 491941 27 SAFH 24 24 0 1 6E+02 1 5.8E+04 498726 28 SAFH 25 25 0 1 4.9E+02 1 4.5E+04 504475 29 SAFH 26 26 0 1 3E+02 1 3.6E+04 510391 30 SAFH 27 27 0 1 3.5E+02 1 3.5E+04 513487 31 SAFH 28 28 0 1 3.8E+02 1 2.4E+04 515002 32 SAFH 29 29 0 1 4.2E+02 1 2E+04 516657 33 SAFH 30 30 0 1 4.1E+02 1 3.6E+04 522745 34 SAFH 31 31 0 1 4.9E+03 1 3.7E+05 110769 35 SAFH 32 32 0 1 2.9E+03 1 2.9E+05 10877.1 36 SAFH 33 33 0 1 5E+03 1 2E+04 523334 37 SAFH 34 34 0 1 2.5E+02 1 1.4E+04 524876 38 SAFH 35 35 0 1 2.4E+02 1 1.1E+04 525082 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 36 36 0 1 2.7E+02 1 1.1E+04 525976 40 SAFH 37 37 0 1 2.3E+02 1 8.2E+03 526110 41 SAFH 38 38 0 1 2.6E+02 1 1.3E+04 527056 42 SAFH 39 39 0 1 1.5E+02 1 7.5E+03 527897 43 SAFH 40 40 0 1 2.4E+02 1 8E+03 528205 44 SAFH 41 41 0 1 5.1E+03 1 3.9E+05 206474 45 SAFH 42 42 0 1 3E+02 1 3.3E+04 523178 46 SAFH 43 43 0 1 91 1 1.2E+04 540575 47 SAFH 44 44 0 1 2.2E+02 1 1.1E+04 547694 48 SAFH 45 45 0 1 1.2E+02 1 3.8E+03 547952 49 SAFH 46 46 0 1 4.9E+03 1 5.7E+03 528356 50 SAFH 47 47 0 1 1.7E+02 1 6E+03 529108 51 SAFH 48 48 0 1 1.6E+02 1 4.2E+03 529576 52 SAFH 49 49 0 1 1.6E+02 1 3.6E+03 529803 53 SAFH 50 50 0 1 1.9E+02 1 4.7E+03 530254 54 SAFH 51 51 0 1 1.5E+02 1 2.9E+03 530321 55 SAFH 52 52 0 1 1.1E+02 1 2.6E+03 530689 56 SAFH 53 53 0 1 1.1E+02 1 2.6E+03 530861 57 SAFH 54 54 0 1 1E+02 1 2.2E+03 530987 58 SAFH 55 55 0 1 5.6E+03 1 4.1E+05 141.901 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFG 56 56 0 1 3.9E+03 0 0 141801 59 FOUND SOLUTION: 141801 (NLP) in 12 sec. 60 SAFH 56 56 0 1 3E+02 1 2.1E+05 -47406.1 61 SAFH 57 57 0 1 4.3E+03 1 5.3E+05 155014 62 SAFH 58 58 0 1 3E+02 1 3.9E+04 649244 63 SAFH 59 59 0 1 3.8E+02 1 4.2E+04 661118 64 SAFH 60 60 0 1 2.4E+02 1 1.4E+04 664601 65 SAFH 61 61 0 1 2.1E+02 1 1.1E+04 669149 66 SAFH 62 62 0 1 5.3E+03 1 2.1E+03 531165 67 SAFH 63 63 0 1 1E+02 1 1.4E+03 531193 68 SAFH 64 64 0 1 99 1 1.5E+03 531370 69 SAFH 65 65 0 1 5.4E+03 1 3.5E+05 294472 70 SAFH 66 66 0 1 1.1E+03 1 2.1E+05 474300 71 SAFH 67 67 0 1 4.8E+02 1 7.3E+04 492754 72 SAFH 68 68 0 1 5.4E+03 1 1.4E+03 531455 73 SAFH 69 69 0 1 82 1 1E+03 531714 74 SAFH 70 70 0 1 71 1 8.8E+02 531773 75 SAFH 71 71 0 1 66 1 9.3E+02 531819 76 SAFH 72 72 0 1 50 1 7.8E+02 531820 77 SAFH 73 73 0 1 76 1 8.6E+02 531821 78 SAFH 74 74 0 1 53 1 5.2E+02 531822 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 75 75 0 1 64 1 6.3E+02 532038 80 SAFH 76 76 0 1 46 1 5.2E+02 532058 81 SAFH 77 77 0 1 43 1 4.4E+02 532069 82 SAFH 78 78 0 1 67 1 5.6E+02 532077 83 SAFH 79 79 0 1 44 1 3E+02 532105 84 SAFH 80 80 0 1 48 1 3.7E+02 532135 85 SAFH 81 81 0 1 40 1 3E+02 532141 86 SAFH 82 82 0 1 37 1 2.8E+02 532148 87 SAFH 83 83 0 1 35 1 2.2E+02 532160 88 SAFH 84 84 0 1 30 1 2.2E+02 532171 89 SAFH 85 85 0 1 37 1 1.6E+02 532172 90 SAFH 86 86 0 1 26 1 1.6E+02 532187 91 SAFH 87 87 0 1 25 1 1.6E+02 532194 92 SAFH 88 88 0 1 25 1 1.3E+02 532205 93 SAFH 89 89 0 1 23 1 1.1E+02 532207 94 SAFH 90 90 0 1 36 1 1.6E+02 532219 95 SAFH 91 91 0 1 4.6E+03 1 4.2E+05 183397 96 SAFH 92 92 0 1 4.6E+03 1 73 532223 97 SAFH 93 93 0 1 27 1 1.3E+02 532228 98 SAFH 94 94 0 1 5.3E+03 1 3.8E+05 159378 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 95 95 0 1 5.3E+03 1 89 532241 100 SAFH 96 96 0 1 17 1 82 532243 101 SAFH 97 97 0 1 21 1 73 532244 102 SAFH 98 98 0 1 18 1 51 532248 103 SAFH 99 99 0 1 19 1 60 532255 104 SAFH 100 100 0 1 16 1 35 532256 105 SAFH 101 101 0 1 24 1 65 532263 106 SAFH 102 102 0 1 15 1 50 532263 107 SAFH 103 103 0 1 13 1 33 532264 108 SAFH 104 104 0 1 15 1 38 532266 109 SAFH 105 105 0 1 17 1 34 532266 110 SAFH 106 106 0 1 9.2 1 23 532267 111 SAFH 107 107 0 1 9.5 1 23 532267 112 SAFH 108 108 0 1 10 1 22 532268 113 SAFH 109 109 0 1 13 1 25 532268 114 SAFH 110 110 0 1 15 1 32 532269 115 SAFH 111 111 0 1 8.7 1 13 532271 116 SAFH 112 112 0 1 12 1 28 532272 117 SAFH 113 113 0 1 9.3 1 12 532273 118 SAFH 114 114 0 1 10 1 17 532275 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 115 115 0 1 8 1 11 532277 120 SAFH 116 116 0 1 8.5 1 12 532277 121 SAFH 117 117 0 1 8.4 1 9.7 532277 122 SAFH 118 118 0 1 6.1 1 8.3 532277 123 SAFH 119 119 0 1 6.5 1 7.3 532277 124 SAFH 120 120 0 1 5.8 1 4.9 532278 125 SAFH 121 121 0 1 10 1 13 532278 126 SAFH 122 122 0 1 6.5 1 5.6 532278 127 SAFH 123 123 0 1 5.5 1 6.8 532278 128 SAFH 124 124 0 1 6.5 1 6.1 532278 129 SAFH 125 125 0 1 5.1 1 6.3 532279 130 SAFH 126 126 0 1 5 1 4.3 532279 131 SAFH 127 127 0 1 4.5 1 2.8 532279 132 SAFH 128 128 0 1 7.5 1 7.8 532280 133 SAFH 129 129 0 1 4.3 1 5.2 532280 134 SAFH 130 130 0 1 4.3 1 3.4 532280 135 SAFH 131 131 0 1 4.3 1 4.3 532280 136 SAFH 132 132 0 1 3.6 1 2.3 532280 137 SAFH 133 133 0 1 4.4 1 3.1 532280 138 SAFH 134 134 0 1 4 1 2.1 532280 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 135 135 0 1 3.4 1 2 532280 140 SAFH 136 136 0 1 3.1 1 1.7 532280 141 SAFH 137 137 0 1 2.8 1 1.6 532280 142 SAFH 138 138 0 1 3 1 1.4 532280 143 SAFH 139 139 0 1 2.8 1 0.98 532280 144 SAFH 140 140 0 1 2.7 1 1.1 532281 145 SAFH 141 141 0 1 2.6 1 1.1 532281 146 SAFH 142 142 0 1 3.3 1 2.2 532281 147 SAFH 143 143 0 1 1.9 1 0.76 532281 148 SAFH 144 144 0 1 1.7 1 0.68 532281 149 SAFH 145 145 0 1 3 1 1.1 532281 150 SAFH 146 146 0 1 1.9 1 0.52 532281 151 SAFH 147 147 0 1 1.4 1 0.58 532281 152 SAFH 148 148 0 1 2 1 0.57 532281 153 SAFH 149 149 0 1 1.8 1 0.42 532281 154 SAFH 150 150 0 1 1.6 1 0.45 532281 155 SAFH 151 151 0 1 1.3 1 0.26 532281 156 SAFH 152 152 0 1 1.7 1 0.48 532281 157 SAFH 153 153 0 1 1.6 1 0.36 532281 158 SAFH 154 154 0 1 1.5 1 0.34 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 155 155 0 1 0.9 1 0.2 532281 160 SAFH 156 156 0 1 1.1 1 0.27 532281 161 SAFH 157 157 0 1 0.84 1 0.25 532281 162 SAFH 158 158 0 1 1.2 1 0.19 532281 163 SAFH 159 159 0 1 1.2 1 0.17 532281 164 SAFH 160 160 0 1 0.9 1 0.15 532281 165 SAFH 161 161 0 1 0.75 1 0.12 532281 166 SAFH 162 162 0 1 1 1 0.13 532281 167 SAFH 163 163 0 1 0.93 1 0.12 532281 168 SAFH 164 164 0 1 0.52 1 0.074 532281 169 SAFH 165 165 0 1 0.66 1 0.11 532281 170 SAFH 166 166 0 1 0.86 1 0.096 532281 171 SAFH 167 167 0 1 0.95 1 0.1 532281 172 SAFH 168 168 0 1 0.88 1 0.12 532281 173 SAFH 169 169 0 1 0.56 1 0.047 532281 174 SAFH 170 170 0 1 0.94 1 0.13 532281 175 SAFH 171 171 0 1 0.55 1 0.065 532281 176 SAFH 172 172 0 1 0.57 1 0.062 532281 177 SAFH 173 173 0 1 0.75 1 0.07 532281 178 SAFH 174 174 0 1 0.61 1 0.054 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 175 175 0 1 0.46 1 0.035 532281 180 SAFH 176 176 0 1 0.44 1 0.038 532281 181 SAFH 177 177 0 1 0.54 1 0.037 532281 182 SAFH 178 178 0 1 0.48 1 0.036 532281 183 SAFH 179 179 0 1 0.43 1 0.029 532281 184 SAFH 180 180 0 1 0.4 1 0.024 532281 185 SAFH 181 181 0 1 0.34 1 0.017 532281 186 SAFH 182 182 0 1 0.52 1 0.039 532281 187 SAFH 183 183 0 1 0.51 1 0.031 532281 188 SAFH 184 184 0 1 0.35 1 0.02 532281 189 SAFH 185 185 0 1 0.41 1 0.022 532281 190 SAFH 186 186 0 1 0.31 1 0.016 532281 191 SAFH 187 187 0 1 0.42 1 0.03 532281 192 SAFH 188 188 0 1 0.27 1 0.011 532281 193 SAFH 189 189 0 1 0.23 1 0.012 532281 194 SAFH 190 190 0 1 0.22 1 0.0091 532281 195 SAFH 191 191 0 1 0.22 1 0.011 532281 196 SAFH 192 192 0 1 0.28 1 0.011 532281 197 SAFH 193 193 0 1 0.22 1 0.006 532281 198 SAFH 194 194 0 1 0.18 1 0.006 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 195 195 0 1 0.23 1 0.0094 532281 200 SAFH 196 196 0 1 0.26 1 0.01 532281 201 SAFH 197 197 0 0.5 4.5E+03 1 2.4E+05 24266.6 202 SAFH 198 198 0 0.5 3.9E+03 1 2.4E+05 13180.6 203 SAFH 199 199 0 0.5 3.3E+03 1 2E+05 4970.56 204 SAFG 200 200 0 0.5 3.3E+03 0 0 123309 204 FOUND SOLUTION: 123309 (NLP) in 387 sec. 205 SAFH 200 200 0 0.5 3.6E+02 1 1.2E+05 28719.5 206 SAFH 201 201 0 0.5 2.7E+03 1 1.6E+05 40261.2 207 SAFH 202 202 0 0.5 2.8E+03 1 1.6E+05 65602.5 208 SAFH 203 203 0 0.5 2.8E+03 1 1.7E+05 65674.5 209 SAFH 204 204 0 0.5 2.7E+03 1 1.1E+05 58796.2 210 SAFH 205 205 0 0.5 3.5E+03 1 1.5E+05 87565.3 211 SAFH 206 206 0 0.5 2.6E+03 1 1E+05 99236.1 212 SAFH 207 207 0 0.5 8.8E+02 1 7.5E+04 89206.7 213 SAFH 208 208 0 0.5 1.7E+03 1 1.1E+05 62202.3 214 SAFH 209 209 0 0.5 2.4E+03 1 9.1E+04 81906.7 215 SAFH 210 210 0 0.5 2.6E+03 1 8E+04 79461.1 216 SAFH 211 211 0 0.5 2.3E+03 1 7.9E+04 82710.2 217 SAFH 212 212 0 0.5 2.3E+03 1 5.5E+04 123606 218 SAFH 213 213 0 0.5 1.2E+03 1 7.2E+04 133688 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 214 214 0 0.5 1.4E+03 1 4.5E+04 148899 220 SAFH 215 215 0 0.5 5.5E+02 1 2.6E+04 157967 221 SAFH 216 216 0 0.5 1.1E+03 1 6.3E+04 79914.8 222 SAFH 217 217 0 0.5 2.4E+03 1 6.7E+04 109532 223 SAFH 218 218 0 0.5 4.9E+02 1 4.3E+04 117029 224 SAFH 219 219 0 0.5 2.3E+03 1 6.7E+04 75053 225 SAFH 220 220 0 0.5 3.6E+03 1 7.7E+04 131166 226 SAFH 221 221 0 0.5 2.6E+03 1 1E+05 111206 227 SAFH 222 222 0 0.5 2.7E+03 1 8E+04 124694 228 SAFH 223 223 0 0.5 1.7E+03 1 9.5E+04 95422.9 229 SAFH 224 224 0 0.5 2.5E+03 1 7.2E+04 116363 230 SAFH 225 225 0 0.5 1.4E+03 1 5.6E+04 124989 231 SAFH 226 226 0 0.5 8.7E+02 1 4.3E+04 91203.3 232 SAFH 227 227 0 0.5 2.2E+03 1 5.8E+04 97405.7 233 SAFH 228 228 0 0.5 2.8E+03 1 8.5E+04 109609 234 SAFH 229 229 0 0.5 2.6E+03 1 6.3E+04 97977.1 235 SAFH 230 230 0 0.5 2E+03 1 7.2E+04 110711 236 SAFH 231 231 0 0.5 1.2E+03 1 7.5E+04 122249 237 SAFH 232 232 0 0.5 7.9E+02 1 6.3E+04 131228 238 SAFH 233 233 0 0.5 4E+02 1 3.5E+04 138904 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 234 234 0 0.5 2E+03 1 8.3E+04 125856 240 SAFH 235 235 0 0.5 7.6E+02 1 3.9E+04 131360 241 SAFH 236 236 0 0.5 5.1E+02 1 3.3E+04 142624 242 SAFH 237 237 0 0.5 1.8E+03 1 5.8E+04 106872 243 SAFH 238 238 0 0.5 2.9E+03 1 7.1E+04 105914 244 SAFH 239 239 0 0.5 5.6E+02 1 6.2E+04 124539 245 SAFH 240 240 0 0.5 5.4E+02 1 6.1E+04 132902 246 SAFH 241 241 0 0.5 3E+03 1 1.1E+05 129179 247 SAFH 242 242 0 0.5 2.1E+03 1 1E+05 133191 248 SAFH 243 243 0 0.5 1.7E+03 1 8.6E+04 135273 249 SAFH 244 244 0 0.5 2.8E+03 1 5.7E+04 109870 250 SAFH 245 245 0 0.5 1.4E+03 1 3.8E+04 102808 251 SAFH 246 246 0 0.5 1.6E+03 1 5.4E+04 122324 252 SAFH 247 247 0 0.5 1E+03 1 4.1E+04 131720 253 SAFH 248 248 0 0.5 1.3E+03 1 3.6E+04 112409 254 SAFH 249 249 0 0.5 5.2E+02 1 3.3E+04 115135 255 SAFH 250 250 0 0.5 3.4E+02 1 1.8E+04 115966 256 SAFH 251 251 0 0.5 2.2E+03 1 6.4E+04 119218 257 SAFH 252 252 0 0.5 1.1E+03 1 6.3E+04 105499 258 SAFH 253 253 0 0.5 2.6E+03 1 5.4E+04 128804 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 254 254 0 0.5 1.4E+03 1 5.4E+04 87937 260 SAFH 255 255 0 0.5 2.5E+03 1 8.2E+04 123339 261 SAFH 256 256 0 0.5 6.9E+02 1 9.6E+04 145395 262 SAFH 257 257 0 0.5 7.1E+02 1 5.4E+04 164447 263 SAFH 258 258 0 0.5 2.7E+03 1 7E+04 134040 264 SAFH 259 259 0 0.5 2.2E+03 1 6.5E+04 120097 265 SAFH 260 260 0 0.5 9.9E+02 1 4.8E+04 110581 266 SAFH 261 261 0 0.5 7.9E+02 1 2.4E+04 111588 267 SAFH 262 262 0 0.5 1.1E+03 1 4.3E+04 112175 268 SAFH 263 263 0 0.5 2.4E+03 1 3.9E+04 103616 269 SAFH 264 264 0 0.5 2.5E+03 1 4.5E+04 130006 270 SAFH 265 265 0 0.5 1E+03 1 6.2E+04 129396 271 SAFH 266 266 0 0.5 2.7E+03 1 5.2E+04 135211 272 SAFH 267 267 0 0.5 2.3E+03 1 4.2E+04 115660 273 SAFH 268 268 0 0.5 9E+02 1 5.6E+04 161617 274 SAFH 269 269 0 0.5 2.8E+03 1 8.1E+04 116577 275 SAFH 270 270 0 0.5 1E+03 1 7.1E+04 135433 276 SAFH 271 271 0 0.5 3E+03 1 4.5E+04 124960 277 SAFH 272 272 0 0.5 1.5E+03 1 6E+04 119561 278 SAFH 273 273 0 0.5 1.2E+03 1 6E+04 140183 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 274 274 0 0.5 1.4E+03 1 6.2E+04 129880 280 SAFH 275 275 0 0.5 2.8E+03 1 5.9E+04 116916 281 SAFH 276 276 0 0.5 6.1E+02 1 6.2E+04 122059 282 SAFH 277 277 0 0.5 2.3E+03 1 3.2E+04 111670 283 SAFH 278 278 0 0.5 1.7E+03 1 6.3E+04 132730 284 SAFH 279 279 0 0.5 2E+03 1 7.9E+04 128164 285 SAFH 280 280 0 0.5 1.1E+03 1 5E+04 119980 286 SAFH 281 281 0 0.5 2.6E+03 1 2.9E+04 102471 287 SAFH 282 282 0 0.5 2.1E+03 1 7.7E+04 140026 288 SAFH 283 283 0 0.5 9E+02 1 5.2E+04 92828.5 289 SAFH 284 284 0 0.5 2E+03 1 6.4E+04 140364 290 SAFH 285 285 0 0.5 6.2E+02 1 4.9E+04 148346 291 SAFH 286 286 0 0.5 2.7E+02 1 3.2E+04 150523 292 SAFH 287 287 0 0.5 1.5E+03 1 4.7E+04 95270.3 293 SAFH 288 288 0 0.5 2.4E+03 1 6.9E+04 122752 294 SAFH 289 289 0 0.5 2.2E+03 1 5E+04 106968 295 SAFH 290 290 0 0.5 2E+03 1 4.1E+04 125836 296 SAFH 291 291 0 0.5 2.4E+03 1 3.6E+04 99278.3 297 SAFH 292 292 0 0.5 2.2E+03 1 7.3E+04 138607 298 SAFH 293 293 0 0.5 7.4E+02 1 7E+04 146619 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 294 294 0 0.5 1E+03 1 5.1E+04 138592 300 SAFH 295 295 0 0.5 8.5E+02 1 4.7E+04 137326 301 SAFH 296 296 0 0.5 3.2E+02 1 3.4E+04 154000 302 SAFH 297 297 0 0.5 2.8E+02 1 1.5E+04 155129 303 SAFH 298 298 0 0.5 9.3E+02 1 3.9E+04 171787 304 SAFH 299 299 0 0.5 4.3E+02 1 3.4E+04 172458 305 SAFH 300 300 0 0.5 1E+03 1 2.7E+04 170348 306 SAFH 301 301 0 0.5 1.1E+03 1 2.8E+04 177539 307 SAFH 302 302 0 0.5 5.2E+02 1 2.7E+04 178196 308 SAFH 303 303 0 0.5 5.7E+02 1 2.1E+04 178079 309 SAFH 304 304 0 0.5 1.5E+03 1 6.4E+04 132064 310 SAFH 305 305 0 0.5 6.5E+02 1 4.9E+04 141113 311 SAFH 306 306 0 0.5 4.2E+02 1 2.6E+04 147449 312 SAFH 307 307 0 0.5 3.9E+02 1 3.1E+04 149617 313 SAFH 308 308 0 0.5 3.8E+02 1 2.2E+04 154367 314 SAFH 309 309 0 0.5 2.6E+02 1 1.5E+04 158590 315 SAFH 310 310 0 0.5 9.2E+02 1 4.3E+04 105900 316 SAFH 311 311 0 0.5 1.2E+03 1 1.3E+04 172009 317 SAFH 312 312 0 0.5 3.5E+02 1 1.7E+04 173083 318 SAFH 313 313 0 0.5 2.4E+02 1 1.1E+04 174447 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 314 314 0 0.5 2.3E+02 1 7.7E+03 174626 320 SAFG 315 315 0 0.5 1.3E+03 0 0 118868 320 FOUND SOLUTION: 118868 (NLP) in 543 sec. 321 SAFH 315 315 0 0.5 2.6E+02 1 2.5E+04 100694 322 SAFH 316 316 0 0.5 1.8E+03 1 5.4E+04 118862 323 SAFH 317 317 0 0.5 5.1E+02 1 5.7E+04 129519 324 SAFH 318 318 0 0.5 2E+03 1 3.9E+04 97864.1 325 SAFH 319 319 0 0.5 2.4E+03 1 6.8E+04 141848 326 SAFH 320 320 0 0.5 1.4E+03 1 4.1E+04 112716 327 SAFH 321 321 0 0.5 2.3E+03 1 7E+04 168960 328 SAFH 322 322 0 0.5 1.1E+03 1 7.6E+04 151700 329 SAFH 323 323 0 0.5 1.6E+03 1 4.9E+04 132453 330 SAFH 324 324 0 0.5 2.9E+03 1 9.3E+04 120628 331 SAFH 325 325 0 0.5 1.2E+03 1 4.7E+04 102999 332 SAFH 326 326 0 0.5 2.6E+03 1 5.3E+04 161746 333 SAFH 327 327 0 0.5 6.3E+02 1 2.8E+04 165464 334 SAFH 328 328 0 0.5 1E+03 1 4.7E+04 108410 335 SAFH 329 329 0 0.5 1.4E+03 1 3.1E+04 93505.3 336 SAFH 330 330 0 0.5 3E+03 1 9.2E+04 150902 337 SAFH 331 331 0 0.5 2.1E+03 1 8.2E+04 139766 338 SAFH 332 332 0 0.5 3E+03 1 8.4E+04 147105 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 333 333 0 0.5 2E+03 1 6.6E+04 140762 340 SAFH 334 334 0 0.5 1E+03 1 3.8E+04 104317 341 SAFH 335 335 0 0.5 2.3E+03 1 8.8E+04 143783 342 SAFH 336 336 0 0.5 2.8E+03 1 4E+04 113200 343 SAFH 337 337 0 0.5 2.2E+03 1 5.1E+04 122935 344 SAFH 338 338 0 0.5 2.7E+03 1 5.1E+04 119781 345 SAFH 339 339 0 0.5 1.9E+03 1 7.4E+04 133117 346 SAFH 340 340 0 0.5 3E+03 1 3.8E+04 154410 347 SAFH 341 341 0 0.5 7.9E+02 1 4.1E+04 149783 348 SAFH 342 342 0 0.5 1.7E+03 1 3.7E+04 144925 349 SAFH 343 343 0 0.5 8.9E+02 1 3.5E+04 154204 350 SAFH 344 344 0 0.5 5.5E+02 1 2.2E+04 154965 351 SAFH 345 345 0 0.5 3E+03 1 3.9E+04 116943 352 SAFH 346 346 0 0.5 2.9E+03 1 6.7E+04 152751 353 SAFH 347 347 0 0.5 2.7E+03 1 3.6E+04 102025 354 SAFH 348 348 0 0.5 2.2E+03 1 4.9E+04 126043 355 SAFH 349 349 0 0.5 3.6E+02 1 2.8E+04 141554 356 SAFH 350 350 0 0.5 4.7E+02 1 3E+04 147749 357 SAFH 351 351 0 0.5 3.4E+03 1 8.4E+04 152145 358 SAFH 352 352 0 0.5 2.3E+03 1 1E+05 144568 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 353 353 0 0.5 3.1E+03 1 7.7E+04 149133 360 SAFH 354 354 0 0.5 8.3E+02 1 5E+04 140928 361 SAFH 355 355 0 0.5 1.7E+03 1 9E+04 157323 362 SAFH 356 356 0 0.5 1.1E+03 1 5E+04 140449 363 SAFH 357 357 0 0.5 2.9E+03 1 6.9E+04 135560 364 SAFH 358 358 0 0.5 9.4E+02 1 3.5E+04 114015 365 SAFH 359 359 0 0.5 2.4E+03 1 6.1E+04 134544 366 SAFH 360 360 0 0.5 5.5E+02 1 6.5E+04 151494 367 SAFH 361 361 0 0.5 4.4E+02 1 4.2E+04 158258 368 SAFH 362 362 0 0.5 1E+03 1 4.4E+04 112867 369 SAFH 363 363 0 0.5 1.3E+03 1 3.6E+04 116001 370 SAFH 364 364 0 0.5 2.7E+03 1 6.3E+04 143860 371 SAFH 365 365 0 0.5 2.5E+03 1 7.4E+04 180958 372 SAFH 366 366 0 0.5 1.2E+03 1 9.1E+04 139484 373 SAFH 367 367 0 0.5 5.2E+03 1 0.005 532281 374 SAFH 368 368 0 0.5 0.22 1 0.006 532281 375 SAFH 369 369 0 0.5 4.7E+03 1 5.7E+04 132601 376 SAFH 370 370 0 0.5 1.3E+03 1 2.7E+04 101453 377 SAFH 371 371 0 0.5 2E+03 1 7.8E+04 137542 378 SAFH 372 372 0 0.5 7.9E+02 1 5.7E+04 218487 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 373 373 0 0.5 1.1E+03 1 7.4E+04 149748 380 SAFH 374 374 0 0.5 9.5E+02 1 5.2E+04 125130 381 SAFH 375 375 0 0.5 2.6E+03 1 5.5E+04 152386 382 SAFH 376 376 0 0.5 9.7E+02 1 5.3E+04 220126 383 SAFH 377 377 0 0.5 3.7E+02 1 1.7E+04 236560 384 SAFH 378 378 0 0.5 5.7E+02 1 1.5E+04 187100 385 SAFH 379 379 0 0.5 7.6E+02 1 2.4E+04 253642 386 SAFH 380 380 0 0.5 1.4E+02 1 6.1E+03 253765 387 SAFH 381 381 0 0.5 75 1 1.7E+03 253831 388 SAFH 382 382 0 0.5 49 1 7.6E+02 253874 389 SAFH 383 383 0 0.5 51 1 4.5E+02 253941 390 SAFH 384 384 0 0.5 28 1 1.9E+02 253951 391 SAFH 385 385 0 0.5 93 1 2.1E+03 253984 392 SAFH 386 386 0 0.5 51 1 5.4E+02 253987 393 SAFH 387 387 0 0.5 27 1 1.5E+02 253989 394 SAFH 388 388 0 0.5 16 1 55 253990 395 SAFH 389 389 0 0.5 23 1 1.1E+02 253992 396 SAFH 390 390 0 0.5 11 1 32 254002 397 SAFH 391 391 0 0.5 7.1 1 14 254009 398 SAFH 392 392 0 0.5 6.9 1 8.1 254017 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 393 393 0 0.5 3.6 1 3.6 254019 400 SAFH 394 394 0 0.5 3.5 1 2.1 254020 401 SAFH 395 395 0 0.3 1.8 1 0.91 254021 402 SAFH 396 396 0 0.3 1.8 1 0.52 254022 403 SAFH 397 397 0 0.3 0.84 1 0.23 254022 404 SAFH 398 398 0 0.3 0.89 1 0.13 254022 405 SAFH 399 399 0 0.3 0.43 1 0.059 254022 406 SAFH 400 400 0 0.3 0.45 1 0.034 254022 407 SAFH 401 401 0 0.3 0.21 1 0.015 254022 408 SAFH 402 402 0 0.3 0.82 1 0.22 254022 409 SAFH 403 403 0 0.3 0.42 1 0.055 254022 410 SAFH 404 404 0 0.3 0.22 1 0.015 254022 411 SAFH 405 405 0 0.3 0.13 1 0.0049 254022 412 SAFH 406 406 0 0.3 0.13 1 0.0051 254022 413 SAFH 407 407 0 0.3 0.097 1 0.0017 254022 414 SAFH 408 408 0 0.3 0.095 1 0.0016 254022 415 SAFH 409 409 0 0.3 0.054 1 0.00054 254022 416 SAFH 410 410 0 0.3 0.054 1 0.00051 254022 417 SAFH 411 411 0 0.3 0.025 1 0.00017 254022 418 SAFH 412 412 0 0.3 0.026 1 0.0002 254022 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 413 413 0 0.3 0.018 1 6.3E-05 254022 420 SAFH 414 414 0 0.3 0.013 1 5.9E-05 254022 421 SAFH 415 415 0 0.3 0.011 1 2E-05 254022 422 SAFH 416 416 0 0.3 2E+03 1 4.7E+04 152749 423 SAFH 417 417 0 0.3 1.5E+03 1 2.7E+04 133479 424 SAFH 418 418 0 0.3 1.4E+03 1 3.6E+04 156862 425 SAFH 419 419 0 0.3 3.1E+02 1 1.2E+04 173908 426 SAFH 420 420 0 0.3 2.1E+02 1 4.9E+03 181429 427 SAFH 421 421 0 0.3 1.3E+02 1 2.8E+03 183391 428 SAFH 422 422 0 0.3 1E+02 1 2E+03 183623 429 SAFH 423 423 0 0.3 74 1 1.3E+03 183829 430 SAFH 424 424 0 0.3 73 1 5.4E+02 184679 431 SAFH 425 425 0 0.3 51 1 3.8E+02 184716 432 SAFH 426 426 0 0.3 69 1 4.5E+02 184792 433 SAFH 427 427 0 0.3 36 1 1.7E+02 184843 434 SAFH 428 428 0 0.3 48 1 3E+02 184917 435 SAFH 429 429 0 0.3 24 1 1.1E+02 184929 436 SAFH 430 430 0 0.3 34 1 2.3E+02 184947 437 SAFH 431 431 0 0.3 25 1 71 184956 438 SAFH 432 432 0 0.3 21 1 48 184964 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 433 433 0 0.3 14 1 30 184969 440 SAFH 434 434 0 0.3 11 1 20 184983 441 SAFH 435 435 0 0.3 8.5 1 13 184985 442 SAFH 436 436 0 0.3 7.9 1 8.5 184990 443 SAFH 437 437 0 0.3 7.6 1 5.7 184990 444 SAFH 438 438 0 0.3 4.8 1 3.6 184992 445 SAFH 439 439 0 0.3 4 1 2.4 184993 446 SAFH 440 440 0 0.3 3.6 1 1.6 184994 447 SAFH 441 441 0 0.3 2.7 1 1 184994 448 SAFH 442 442 0 0.3 3.8 1 1.9 184994 449 SAFH 443 443 0 0.3 1.8 1 0.6 184994 450 SAFH 444 444 0 0.3 1.6 1 0.5 184994 451 SAFH 445 445 0 0.3 1.4 1 0.26 184994 452 SAFH 446 446 0 0.3 1 1 0.2 184994 453 SAFH 447 447 0 0.3 1.2 1 0.2 184995 454 SAFH 448 448 0 0.3 0.6 1 0.081 184995 455 SAFH 449 449 0 0.3 1 1 0.17 184995 456 SAFH 450 450 0 0.3 0.72 1 0.077 184995 457 SAFH 451 451 0 0.3 0.55 1 0.052 184995 458 SAFH 452 452 0 0.3 0.4 1 0.026 184995 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 453 453 0 0.3 0.5 1 0.035 184995 460 SAFH 454 454 0 0.3 0.34 1 0.014 184995 461 SAFH 455 455 0 0.3 0.45 1 0.028 184995 462 SAFH 456 456 0 0.3 0.3 1 0.0092 184995 463 SAFH 457 457 0 0.3 0.28 1 0.008 184995 464 SAFH 458 458 0 0.3 0.17 1 0.0037 184995 465 SAFH 459 459 0 0.3 0.13 1 0.0037 184995 466 SAFH 460 460 0 0.3 0.11 1 0.002 184995 467 SAFH 461 461 0 0.3 0.098 1 0.0013 184995 468 SAFH 462 462 0 0.3 0.11 1 0.0011 184995 469 SAFH 463 463 0 0.3 0.059 1 0.00054 184995 470 SAFH 464 464 0 0.3 0.072 1 0.00056 184995 471 SAFH 465 465 0 0.3 0.046 1 0.00037 184995 472 SAFH 466 466 0 0.3 0.033 1 0.00018 184995 473 SAFH 467 467 0 0.3 0.044 1 0.00022 184995 474 SAFH 468 468 0 0.3 0.036 1 0.00024 184995 475 SAFH 469 469 0 0.3 0.024 1 8.4E-05 184995 476 SAFH 470 470 0 0.3 0.025 1 9.3E-05 184995 477 SAFH 471 471 0 0.3 0.015 1 4.6E-05 184995 478 SAFH 472 472 0 0.3 0.014 1 3.3E-05 184995 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 473 473 0 0.3 0.011 1 2.3E-05 184995 480 SAFH 474 474 0 0.3 0.011 1 1.3E-05 184995 481 SAFH 475 475 0 0.3 0.0093 1 1.1E-05 184995 482 SAFH 476 476 0 0.3 0.0049 1 5.9E-06 184995 483 SAFH 477 477 0 0.3 0.0038 1 4.2E-06 184995 484 SAFH 478 478 0 0.3 0.0055 1 2.9E-06 184995 485 SAFH 479 479 0 0.3 0.0031 1 1.6E-06 184995 486 SAFH 480 480 0 0.3 0.0029 1 1.3E-06 184995 487 SAFJL 481 481 0 0.3 0.0017 0 7.4E-07 184995 488 SAFH 480 480 0 0.2 2.7E+03 1 4E+04 102983 489 SAFH 481 481 0 0.2 1.8E+03 1 3.7E+04 99395.1 490 SAFH 482 482 0 0.2 2E+03 1 2.4E+04 101554 491 SAFH 483 483 0 0.2 2E+03 1 3.1E+04 93602 492 SAFH 484 484 0 0.2 1.6E+03 1 2.8E+04 102057 493 SAFH 485 485 0 0.2 1.6E+03 1 2.8E+04 109656 494 SAFG 486 486 0 0.2 1.6E+03 0 0 113201 494 FOUND SOLUTION: 113201 (NLP) in 758 sec. 495 SAFH 486 486 0 0.2 1.6E+02 1 2.1E+04 97604.7 496 SAFH 487 487 0 0.2 2.5E+03 1 2.2E+04 101112 497 SAFH 488 488 0 0.2 2.1E+03 1 2.4E+04 110818 498 SAFH 489 489 0 0.2 1.9E+03 1 2.3E+04 103190 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 490 490 0 0.2 1.8E+03 1 2.3E+04 108055 500 SAFH 491 491 0 0.2 1.4E+03 1 3.4E+04 116811 501 SAFH 492 492 0 0.2 1.6E+03 1 2.7E+04 108238 502 SAFH 493 493 0 0.2 1.8E+03 1 2.1E+04 97817.4 503 SAFH 494 494 0 0.2 1.3E+03 1 2.2E+04 99386.1 504 SAFH 495 495 0 0.2 1.7E+03 1 1.6E+04 101752 505 SAFH 496 496 0 0.2 2E+03 1 1.8E+04 104507 506 SAFH 497 497 0 0.2 1.7E+03 1 2.4E+04 105092 507 SAFH 498 498 0 0.2 7.6E+02 1 2E+04 103542 508 SAFH 499 499 0 0.2 5.4E+02 1 2.1E+04 111331 509 SAFH 500 500 0 0.2 9.3E+02 1 2E+04 103485 510 SAFH 501 501 0 0.2 1.9E+03 1 3.4E+04 112210 511 SAFH 502 502 0 0.2 1.6E+03 1 1.6E+04 102245 512 SAFH 503 503 0 0.2 2.3E+03 1 2.1E+04 114514 513 SAFH 504 504 0 0.2 1.9E+03 1 2.2E+04 110968 514 SAFH 505 505 0 0.2 1.6E+03 1 2.7E+04 101427 515 SAFH 506 506 0 0.2 1.7E+03 1 1.6E+04 109060 516 SAFH 507 507 0 0.2 2.1E+03 1 2.5E+04 106977 517 SAFG 508 508 0 0.2 1.5E+03 0 0 110526 517 FOUND SOLUTION: 110526 (NLP) in 806 sec. 518 SAFH 508 508 0 0.2 1E+02 1 1.4E+04 98085.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 509 509 0 0.2 1.5E+03 1 2.7E+04 106964 520 SAFH 510 510 0 0.2 1.7E+03 1 1.7E+04 107565 521 SAFH 511 511 0 0.2 1.5E+03 1 2E+04 112666 522 SAFH 512 512 0 0.2 2E+03 1 2.4E+04 112458 523 SAFH 513 513 0 0.2 1.2E+03 1 1.6E+04 109856 524 SAFH 514 514 0 0.2 1.9E+03 1 1.3E+04 110361 525 SAFH 515 515 0 0.2 2E+03 1 2.6E+04 111564 526 SAFH 516 516 0 0.2 1.6E+03 1 3.4E+04 113675 527 SAFH 517 517 0 0.2 1.1E+03 1 1.9E+04 111472 528 SAFH 518 518 0 0.2 1.9E+03 1 2.3E+04 124080 529 SAFH 519 519 0 0.2 1.4E+03 1 1.5E+04 110959 530 SAFH 520 520 0 0.2 1.9E+03 1 1.8E+04 106422 531 SAFH 521 521 0 0.2 1.8E+03 1 2.5E+04 112185 532 SAFH 522 522 0 0.2 2.1E+03 1 1.8E+04 108627 533 SAFH 523 523 0 0.2 1.2E+03 1 1.8E+04 108796 534 SAFH 524 524 0 0.2 9.2E+02 1 1.8E+04 108486 535 SAFH 525 525 0 0.2 1.7E+03 1 1.9E+04 110167 536 SAFH 526 526 0 0.2 1.6E+03 1 1.9E+04 104548 537 SAFH 527 527 0 0.2 9.6E+02 1 1.6E+04 109371 538 SAFH 528 528 0 0.2 1.9E+03 1 3.2E+04 112874 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 529 529 0 0.2 1.8E+03 1 2.2E+04 107330 540 SAFH 530 530 0 0.2 2E+03 1 1.5E+04 105907 541 SAFH 531 531 0 0.2 2E+03 1 1.9E+04 113025 542 SAFH 532 532 0 0.2 1.7E+03 1 2.9E+04 116769 543 SAFH 533 533 0 0.2 1.3E+03 1 1.6E+04 108584 544 SAFH 534 534 0 0.2 1.9E+03 1 2.2E+04 109394 545 SAFH 535 535 0 0.2 4.6E+02 1 1.5E+04 104696 546 SAFH 536 536 0 0.2 2E+03 1 2.6E+04 112667 547 SAFH 537 537 0 0.2 2.2E+03 1 1.9E+04 114740 548 SAFH 538 538 0 0.2 2.1E+03 1 2.4E+04 117844 549 SAFH 539 539 0 0.2 1.4E+03 1 2.2E+04 114558 550 SAFH 540 540 0 0.2 1.6E+03 1 2.2E+04 107321 551 SAFH 541 541 0 0.2 1.6E+03 1 1.7E+04 116874 552 SAFH 542 542 0 0.2 1.7E+03 1 1.5E+04 108481 553 SAFH 543 543 0 0.2 1.9E+03 1 1.6E+04 115899 554 SAFH 544 544 0 0.2 1.1E+03 1 1.5E+04 114065 555 SAFH 545 545 0 0.2 1.9E+03 1 1.4E+04 103301 556 SAFH 546 546 0 0.2 1.8E+03 1 2E+04 109658 557 SAFH 547 547 0 0.2 1.6E+03 1 1.6E+04 109516 558 SAFH 548 548 0 0.2 1.3E+03 1 1.7E+04 111585 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 549 549 0 0.2 9.2E+02 1 1.4E+04 108548 560 SAFH 550 550 0 0.2 2.4E+03 1 2.2E+04 126131 561 SAFH 551 551 0 0.2 7.2E+02 1 2.2E+04 129683 562 SAFH 552 552 0 0.2 1.9E+03 1 2.4E+04 114394 563 SAFH 553 553 0 0.2 6.5E+02 1 1.5E+04 114236 564 SAFH 554 554 0 0.2 2.6E+03 1 2.7E+04 110672 565 SAFH 555 555 0 0.2 1.8E+03 1 2.2E+04 114327 566 SAFH 556 556 0 0.2 2E+03 1 2.4E+04 111670 567 SAFH 557 557 0 0.2 1.5E+03 1 1.7E+04 105445 568 SAFH 558 558 0 0.2 1.2E+03 1 1.3E+04 119853 569 SAFH 559 559 0 0.2 1.6E+03 1 2.3E+04 110699 570 SAFH 560 560 0 0.2 1.7E+03 1 1.2E+04 106951 571 SAFH 561 561 0 0.2 1.8E+03 1 2.7E+04 115800 572 SAFH 562 562 0 0.2 7.2E+02 1 2.5E+04 112576 573 SAFH 563 563 0 0.2 1.7E+03 1 1.2E+04 107284 574 SAFH 564 564 0 0.2 1.5E+03 1 2.2E+04 116495 575 SAFH 565 565 0 0.2 1.1E+03 1 2.3E+04 114678 576 SAFH 566 566 0 0.2 2.2E+03 1 1.8E+04 111957 577 SAFH 567 567 0 0.2 2E+03 1 1.8E+04 115324 578 SAFH 568 568 0 0.2 2.1E+03 1 1.3E+04 106704 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 569 569 0 0.2 2.1E+03 1 1.1E+04 109449 580 SAFH 570 570 0 0.2 9.9E+02 1 1.7E+04 108405 581 SAFH 571 571 0 0.2 1.1E+03 1 1.5E+04 115033 582 SAFH 572 572 0 0.2 2.5E+03 1 1.8E+04 111830 583 SAFH 573 573 0 0.2 2.3E+03 1 1.9E+04 111605 584 SAFH 574 574 0 0.2 1.4E+03 1 1.8E+04 110139 585 SAFH 575 575 0 0.2 9.6E+02 1 2.1E+04 113742 586 SAFH 576 576 0 0.2 2E+03 1 1.2E+04 121716 587 SAFH 577 577 0 0.2 1.3E+03 1 1.5E+04 111324 588 SAFH 578 578 0 0.2 2E+03 1 2.2E+04 115562 589 SAFH 579 579 0 0.2 2.1E+03 1 1.5E+04 107247 590 SAFH 580 580 0 0.2 1.6E+03 1 1.6E+04 114319 591 SAFH 581 581 0 0.2 1.5E+03 1 1.5E+04 108497 592 SAFH 582 582 0 0.2 1.2E+03 1 1.4E+04 108189 593 SAFH 583 583 0 0.2 1.7E+03 1 1.6E+04 110654 594 SAFH 584 584 0 0.2 2E+03 1 1.8E+04 114353 595 SAFH 585 585 0 0.2 3.5E+02 1 1.5E+04 118609 596 SAFH 586 586 0 0.2 3.6E+02 1 1.6E+04 120613 597 SAFH 587 587 0 0.2 2.9E+02 1 7.5E+03 121527 598 SAFH 588 588 0 0.2 7.3E+02 1 2.1E+04 124639 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 589 589 0 0.2 2.1E+03 1 1.1E+04 111334 600 SAFH 590 590 0 0.2 1.8E+03 1 1.2E+04 118629 601 SAFH 591 591 0 0.2 2E+03 1 9.8E+03 106465 602 SAFH 592 592 0 0.2 8.7E+02 1 1E+04 109799 603 SAFH 593 593 0 0.2 2.1E+03 1 1.6E+04 110965 604 SAFH 594 594 0 0.2 1.7E+03 1 1.6E+04 110274 605 SAFH 595 595 0 0.2 1.6E+03 1 1.5E+04 107300 606 SAFH 596 596 0 0.2 1.9E+03 1 1.4E+04 110395 607 SAFH 597 597 0 0.2 1.8E+03 1 2.2E+04 113063 608 SAFH 598 598 0 0.2 1.8E+03 1 2E+04 115154 609 SAFH 599 599 0 0.2 1.5E+03 1 1.7E+04 111652 610 SAFH 600 600 0 0.2 1.7E+03 1 2E+04 114098 611 SAFH 601 601 0 0.2 1.2E+03 1 1.9E+04 119040 612 SAFH 602 602 0 0.2 1.6E+03 1 1.9E+04 117149 613 SAFH 603 603 0 0.2 1.3E+03 1 2E+04 106131 614 SAFH 604 604 0 0.2 1.6E+03 1 1.7E+04 114468 615 SAFH 605 605 0 0.2 2.6E+03 1 1.4E+04 113977 616 SAFH 606 606 0 0.2 1.2E+03 1 1.2E+04 104183 617 SAFH 607 607 0 0.2 1.6E+03 1 1.5E+04 111203 618 SAFH 608 608 0 0.2 6.6E+02 1 1.2E+04 112589 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 609 609 0 0.2 3.7E+02 1 9.6E+03 116766 620 SAFH 610 610 0 0.2 1.7E+03 1 1.4E+04 104771 621 SAFH 611 611 0 0.2 1.4E+03 1 1.7E+04 110796 622 SAFH 612 612 0 0.2 1.1E+03 1 2E+04 119640 623 SAFH 613 613 0 0.2 8.7E+02 1 2.1E+04 112552 624 SAFH 614 614 0 0.2 7.8E+02 1 1.7E+04 114375 625 SAFH 615 615 0 0.2 4.6E+02 1 2.1E+04 114893 626 SAFH 616 616 0 0.2 3.3E+02 1 1.3E+04 116721 627 SAFH 617 617 0 0.2 6.5E+02 1 1.3E+04 113878 628 SAFH 618 618 0 0.2 4.3E+02 1 1.7E+04 118255 629 SAFH 619 619 0 0.2 5.8E+02 1 1.4E+04 122236 630 SAFH 620 620 0 0.2 2.6E+02 1 1E+04 124311 631 SAFH 621 621 0 0.2 9.7E+02 1 1.6E+04 116509 632 SAFH 622 622 0 0.2 1.6E+03 1 1.8E+04 116542 633 SAFH 623 623 0 0.2 1.4E+03 1 1.1E+04 116689 634 SAFH 624 624 0 0.2 1.1E+03 1 1.3E+04 116669 635 SAFH 625 625 0 0.2 1.4E+03 1 1.6E+04 114860 636 SAFH 626 626 0 0.2 7.7E+02 1 1.3E+04 122527 637 SAFH 627 627 0 0.2 4.6E+02 1 8.9E+03 126483 638 SAFH 628 628 0 0.2 2.9E+02 1 8.4E+03 128577 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 629 629 0 0.2 1.8E+03 1 1.3E+04 109076 640 SAFH 630 630 0 0.2 1.4E+03 1 1E+04 105446 641 SAFH 631 631 0 0.2 1.8E+03 1 2.8E+04 114921 642 SAFH 632 632 0 0.2 1.6E+03 1 1.3E+04 112603 643 SAFH 633 633 0 0.2 1.8E+03 1 1.2E+04 109333 644 SAFH 634 634 0 0.2 3.1E+02 1 1.3E+04 112304 645 SAFH 635 635 0 0.2 1.2E+03 1 8.4E+03 107249 646 SAFH 636 636 0 0.2 2.1E+03 1 2E+04 115947 647 SAFH 637 637 0 0.2 6.5E+02 1 1.5E+04 118603 648 SAFH 638 638 0 0.2 4.3E+03 1 0.0062 532281 649 SAFH 639 639 0 0.2 4.3E+03 1 1.8E+04 113691 650 SAFH 640 640 0 0.2 6.4E+02 1 1.1E+04 110115 651 SAFH 641 641 0 0.2 1.6E+03 1 1.8E+04 120465 652 SAFH 642 642 0 0.2 2.2E+03 1 2.2E+04 118585 653 SAFH 643 643 0 0.2 9.1E+02 1 1.7E+04 111101 654 SAFH 644 644 0 0.2 1.1E+03 1 1.5E+04 116481 655 SAFH 645 645 0 0.2 8.8E+02 1 1.1E+04 112607 656 SAFH 646 646 0 0.2 7.7E+02 1 1.3E+04 111832 657 SAFH 647 647 0 0.2 8.5E+02 1 1.3E+04 114404 658 SAFH 648 648 0 0.2 1E+03 1 1.3E+04 113842 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 649 649 0 0.2 8.7E+02 1 1.6E+04 113890 660 SAFH 650 650 0 0.2 1.6E+03 1 1.5E+04 111047 661 SAFH 651 651 0 0.2 1.5E+03 1 1.2E+04 118763 662 SAFH 652 652 0 0.2 9.9E+02 1 1.4E+04 111187 663 SAFH 653 653 0 0.2 1.9E+03 1 1.3E+04 109371 664 SAFH 654 654 0 0.2 1.7E+03 1 1.4E+04 112894 665 SAFH 655 655 0 0.2 1.7E+03 1 1.6E+04 114005 666 SAFH 656 656 0 0.2 1.9E+03 1 9.8E+03 106195 667 SAFH 657 657 0 0.2 1.4E+03 1 1.8E+04 109973 668 SAFH 658 658 0 0.2 6.1E+02 1 1.5E+04 109347 669 SAFH 659 659 0 0.2 5.5E+02 1 1.3E+04 113196 670 SAFH 660 660 0 0.2 7.1E+02 1 1E+04 112636 671 SAFH 661 661 0 0.2 5.3E+02 1 1.1E+04 113118 672 SAFH 662 662 0 0.2 3.7E+02 1 1.1E+04 116310 673 SAFH 663 663 0 0.2 5.4E+02 1 7.1E+03 117482 674 SAFH 664 664 0 0.2 4.7E+02 1 6.1E+03 116145 675 SAFH 665 665 0 0.2 7.9E+02 1 9E+03 118580 676 SAFH 666 666 0 0.2 3.2E+02 1 4.6E+03 117148 677 SAFH 667 667 0 0.2 3.7E+02 1 3.9E+03 123715 678 SAFH 668 668 0 0.2 1.6E+02 1 4.3E+03 124005 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 669 669 0 0.2 94 1 1.9E+03 125527 680 SAFH 670 670 0 0.2 1.2E+02 1 2.3E+03 125694 681 SAFH 671 671 0 0.2 75 1 1.1E+03 125862 682 SAFH 672 672 0 0.2 65 1 8.1E+02 126436 683 SAFH 673 673 0 0.2 49 1 5E+02 126506 684 SAFH 674 674 0 0.2 49 1 3.2E+02 126617 685 SAFH 675 675 0 0.2 34 1 2.3E+02 126694 686 SAFH 676 676 0 0.2 6E+02 1 5.9E+03 120702 687 SAFH 677 677 0 0.2 8.6E+02 1 6.1E+03 125382 688 SAFH 678 678 0 0.2 2.3E+02 1 7.7E+03 127498 689 SAFH 679 679 0 0.2 2.3E+02 1 8.1E+03 128386 690 SAFH 680 680 0 0.2 1.9E+02 1 5.4E+03 128479 691 SAFH 681 681 0 0.2 1.1E+02 1 3.2E+03 129004 692 SAFH 682 682 0 0.2 1.6E+02 1 3.7E+03 129084 693 SAFH 683 683 0 0.2 1.3E+02 1 2.5E+03 129286 694 SAFH 684 684 0 0.2 98 1 1.2E+03 129730 695 SAFH 685 685 0 0.2 81 1 1.3E+03 130136 696 SAFH 686 686 0 0.2 63 1 6.3E+02 130284 697 SAFH 687 687 0 0.2 55 1 4.9E+02 130508 698 SAFH 688 688 0 0.2 44 1 2.2E+02 130563 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 689 689 0 0.2 42 1 3.6E+02 130572 700 SAFH 690 690 0 0.2 2E+03 1 2E+04 119511 701 SAFH 691 691 0 0.2 1.7E+03 1 1.5E+04 113020 702 SAFH 692 692 0 0.2 2.1E+03 1 2.3E+04 117252 703 SAFH 693 693 0 0.2 1.5E+03 1 1.2E+04 110029 704 SAFH 694 694 0 0.2 1.7E+03 1 1.5E+04 112417 705 SAFH 695 695 0 0.2 1.3E+03 1 1.4E+04 116329 706 SAFH 696 696 0 0.2 8.5E+02 1 1.3E+04 109380 707 SAFH 697 697 0 0.2 8.1E+02 1 1.5E+04 108338 708 SAFH 698 698 0 0.2 6.3E+02 1 1.7E+04 111681 709 SAFH 699 699 0 0.2 4.3E+02 1 1.8E+04 115255 710 SAFH 700 700 0 0.2 7.5E+02 1 1.2E+04 112895 711 SAFH 701 701 0 0.2 7E+02 1 1.6E+04 110592 712 SAFH 702 702 0 0.2 2.9E+02 1 1.1E+04 111652 713 SAFH 703 703 0 0.2 7.8E+02 1 1.3E+04 109932 714 SAFH 704 704 0 0.2 4.7E+02 1 1.1E+04 113988 715 SAFH 705 705 0 0.2 4.4E+02 1 9.9E+03 113453 716 SAFH 706 706 0 0.2 6.2E+02 1 6.6E+03 113341 717 SAFH 707 707 0 0.2 7.2E+02 1 9.8E+03 110434 718 SAFH 708 708 0 0.2 1.8E+03 1 1.8E+04 118778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 709 709 0 0.2 6.8E+02 1 1.1E+04 111165 720 SAFH 710 710 0 0.2 7.7E+02 1 1.4E+04 122593 721 SAFH 711 711 0 0.2 2.1E+03 1 2.1E+04 114802 722 SAFH 712 712 0 0.2 4.6E+02 1 1.9E+04 114307 723 SAFH 713 713 0 0.2 1.2E+03 1 1.5E+04 113551 724 SAFH 714 714 0 0.2 1.8E+03 1 1.1E+04 114701 725 SAFH 715 715 0 0.2 7.9E+02 1 1.2E+04 115851 726 SAFH 716 716 0 0.2 1.5E+03 1 9.4E+03 105759 727 SAFH 717 717 0 0.2 5.5E+02 1 1.2E+04 108837 728 SAFH 718 718 0 0.2 8.1E+02 1 2E+04 113203 729 SAFH 719 719 0 0.2 1.2E+03 1 1.4E+04 117497 730 SAFH 720 720 0 0.2 2.8E+02 1 1.4E+04 118850 731 SAFH 721 721 0 0.2 2.8E+02 1 1.1E+04 119570 732 SAFH 722 722 0 0.2 1.6E+03 1 1.2E+04 110877 733 SAFH 723 723 0 0.2 1.8E+03 1 1.5E+04 105392 734 SAFH 724 724 0 0.2 2.3E+03 1 1.6E+04 116516 735 SAFH 725 725 0 0.2 4.6E+03 1 0.0045 532281 736 SAFH 726 726 0 0.2 0.097 1 0.0027 532281 737 SAFH 727 727 0 0.2 4.7E+03 1 1.4E+04 112527 738 SAFH 728 728 0 0.2 1.5E+03 1 2E+04 115856 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 729 729 0 0.2 1.7E+03 1 1E+04 109488 740 SAFH 730 730 0 0.2 9.1E+02 1 1.4E+04 114657 741 SAFH 731 731 0 0.2 2E+03 1 1.4E+04 121687 742 SAFH 732 732 0 0.2 1.9E+03 1 1.5E+04 112161 743 SAFH 733 733 0 0.2 1.8E+03 1 1.5E+04 119122 744 SAFH 734 734 0 0.2 1.9E+03 1 1.4E+04 112575 745 SAFH 735 735 0 0.2 1.2E+03 1 1.3E+04 107182 746 SAFH 736 736 0 0.2 1.4E+03 1 1.1E+04 106573 747 SAFH 737 737 0 0.2 2.9E+02 1 1.1E+04 113682 748 SAFH 738 738 0 0.2 2.8E+02 1 1.1E+04 114464 749 SAFH 739 739 0 0.2 1.2E+03 1 1.3E+04 113739 750 SAFH 740 740 0 0.2 1.9E+03 1 1.2E+04 110376 751 SAFH 741 741 0 0.2 4.6E+03 1 0.0046 532281 752 SAFH 742 742 0 0.2 0.17 1 0.0039 532281 753 SAFH 743 743 0 0.2 4.7E+03 1 1.7E+04 113432 754 SAFH 744 744 0 0.2 1.6E+03 1 1.2E+04 110932 755 SAFH 745 745 0 0.2 1.7E+03 1 1.4E+04 109884 756 SAFH 746 746 0 0.2 5.5E+02 1 1.5E+04 112014 757 SAFH 747 747 0 0.2 3.7E+02 1 1E+04 113822 758 SAFH 748 748 0 0.2 1.9E+03 1 1.2E+04 114993 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 749 749 0 0.2 1E+03 1 1.6E+04 117072 760 SAFH 750 750 0 0.2 1.6E+03 1 2.3E+04 115969 761 SAFH 751 751 0 0.2 1.7E+03 1 1.3E+04 111233 762 SAFH 752 752 0 0.2 1.4E+03 1 1.5E+04 114843 763 SAFH 753 753 0 0.2 8.4E+02 1 1.5E+04 112739 764 SAFH 754 754 0 0.2 3.4E+02 1 1.7E+04 114247 765 SAFH 755 755 0 0.2 3.4E+02 1 1.2E+04 115831 766 SAFH 756 756 0 0.2 1.6E+03 1 1.5E+04 113498 767 SAFH 757 757 0 0.2 1.4E+03 1 1.6E+04 113519 768 SAFH 758 758 0 0.2 2.1E+03 1 1.7E+04 115261 769 SAFH 759 759 0 0.2 1E+03 1 1.2E+04 113537 770 SAFH 760 760 0 0.2 1.1E+03 1 1.2E+04 114900 771 SAFH 761 761 0 0.2 2E+03 1 9.5E+03 112957 772 SAFH 762 762 0 0.2 1.2E+03 1 1.4E+04 108439 773 SAFH 763 763 0 0.2 2.3E+03 1 9.1E+03 117386 774 SAFH 764 764 0 0.2 1E+03 1 9.5E+03 113297 775 SAFH 765 765 0 0.2 8.4E+02 1 1.6E+04 115393 776 SAFH 766 766 0 0.2 1E+03 1 1E+04 112353 777 SAFH 767 767 0 0.2 4.2E+02 1 6.7E+03 110400 778 SAFH 768 768 0 0.2 1.4E+03 1 1.3E+04 116087 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 769 769 0 0.2 1.5E+03 1 1.9E+04 115214 780 SAFH 770 770 0 0.2 1.6E+03 1 1.7E+04 115786 781 SAFH 771 771 0 0.2 1.3E+03 1 1.2E+04 110935 782 SAFH 772 772 0 0.2 6.5E+02 1 9.3E+03 113879 783 SAFH 773 773 0 0.2 7.4E+02 1 1.2E+04 114955 784 SAFH 774 774 0 0.2 3.1E+02 1 1E+04 114883 785 SAFH 775 775 0 0.2 2.6E+02 1 1E+04 115735 786 SAFH 776 776 0 0.2 8.1E+02 1 1.4E+04 120719 787 SAFH 777 777 0 0.2 7.7E+02 1 1.6E+04 117105 788 SAFH 778 778 0 0.2 1E+03 1 1.3E+04 111406 789 SAFH 779 779 0 0.2 1.6E+03 1 1.9E+04 115419 790 SAFH 780 780 0 0.2 1.6E+03 1 1.1E+04 110102 791 SAFH 781 781 0 0.2 2.5E+02 1 8.2E+03 114940 792 SAFH 782 782 0 0.2 1.8E+02 1 7.7E+03 115496 793 SAFH 783 783 0 0.2 2.2E+02 1 7.7E+03 116106 794 SAFH 784 784 0 0.2 4.5E+03 1 0.004 532281 795 SAFH 785 785 0 0.2 0.082 1 0.0022 532281 796 SAFH 786 786 0 0.2 0.13 1 0.0039 532281 797 SAFH 787 787 0 0.2 4E+03 1 1.6E+04 113032 798 SAFH 788 788 0 0.2 1.5E+03 1 1.5E+04 121167 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 789 789 0 0.2 1.9E+03 1 1.3E+04 109159 800 SAFH 790 790 0 0.2 2E+03 1 1.1E+04 119336 801 SAFH 791 791 0 0.1 1.5E+03 1 8.1E+03 108450 802 SAFH 792 792 0 0.1 1.5E+03 1 9.2E+03 113479 803 SAFG 793 793 0 0.1 1E+03 0 0 108553 803 FOUND SOLUTION: 108553 (NLP) in 1587 sec. 804 SAFH 793 793 0 0.1 77 1 7.5E+03 101841 805 SAFH 794 794 0 0.1 1.2E+03 1 1E+04 107791 806 SAFH 795 795 0 0.1 1.2E+03 1 9.7E+03 113750 807 SAFH 796 796 0 0.1 1.2E+03 1 7.5E+03 108208 808 SAFH 797 797 0 0.1 1.2E+03 1 7.6E+03 103734 809 SAFH 798 798 0 0.1 1.1E+03 1 7.2E+03 112317 810 SAFH 799 799 0 0.1 9.8E+02 1 7.2E+03 109795 811 SAFH 800 800 0 0.1 1.5E+03 1 8.6E+03 107011 812 SAFH 801 801 0 0.1 1.2E+03 1 9.4E+03 107288 813 SAFH 802 802 0 0.1 1.5E+03 1 9.2E+03 106105 814 SAFH 803 803 0 0.1 4.9E+02 1 8.9E+03 107506 815 SAFH 804 804 0 0.1 6E+02 1 9.5E+03 106889 816 SAFH 805 805 0 0.1 1.4E+03 1 7.9E+03 103991 817 SAFH 806 806 0 0.1 1.1E+03 1 8.9E+03 106557 818 SAFH 807 807 0 0.1 1.5E+03 1 8.2E+03 110500 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 808 808 0 0.1 1.5E+03 1 8.1E+03 107708 820 SAFH 809 809 0 0.1 4.5E+03 1 0.0021 532281 821 SAFH 810 810 0 0.1 0.15 1 0.0034 532281 822 SAFH 811 811 0 0.1 0.1 1 0.0016 532281 823 SAFH 812 812 0 0.1 4.3E+03 1 6.3E+03 105478 824 SAFH 813 813 0 0.1 1.6E+03 1 6.3E+03 108149 825 SAFH 814 814 0 0.1 1.5E+03 1 5.3E+03 108137 826 SAFH 815 815 0 0.1 1.4E+03 1 7E+03 105153 827 SAFH 816 816 0 0.1 1.5E+03 1 9.8E+03 108980 828 SAFH 817 817 0 0.1 2.9E+02 1 7.4E+03 109800 829 SAFH 818 818 0 0.1 1.4E+03 1 6.1E+03 104784 830 SAFH 819 819 0 0.1 1.1E+03 1 7.8E+03 108230 831 SAFH 820 820 0 0.1 1.7E+03 1 1.1E+04 107378 832 SAFH 821 821 0 0.1 1.6E+03 1 9.1E+03 107369 833 SAFH 822 822 0 0.1 1.4E+03 1 7.1E+03 108771 834 SAFH 823 823 0 0.1 1.6E+03 1 8.1E+03 108378 835 SAFH 824 824 0 0.1 1.3E+03 1 6.7E+03 109505 836 SAFH 825 825 0 0.1 1.5E+03 1 8.7E+03 106597 837 SAFH 826 826 0 0.1 1.5E+03 1 6.2E+03 106829 838 SAFH 827 827 0 0.1 1.3E+03 1 7.4E+03 106472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 828 828 0 0.1 1.4E+03 1 8.6E+03 107181 840 SAFH 829 829 0 0.1 9E+02 1 6.9E+03 107686 841 SAFH 830 830 0 0.1 9.9E+02 1 8.1E+03 112279 842 SAFH 831 831 0 0.1 1.2E+03 1 8.7E+03 107053 843 SAFH 832 832 0 0.1 6.1E+02 1 5.6E+03 106911 844 SAFH 833 833 0 0.1 8.6E+02 1 7.4E+03 106873 845 SAFH 834 834 0 0.1 1.2E+03 1 6.7E+03 108706 846 SAFH 835 835 0 0.1 6.2E+02 1 5.4E+03 107765 847 SAFH 836 836 0 0.1 1E+03 1 7.7E+03 109511 848 SAFH 837 837 0 0.1 1E+03 1 8.3E+03 111282 849 SAFG 838 838 0 0.1 9.3E+02 0 0 108430 849 FOUND SOLUTION: 108430 (NLP) in 1864 sec. 850 SAFH 838 838 0 0.1 1.1E+02 1 3.5E+03 106159 851 SAFH 839 839 0 0.1 5.6E+02 1 5.4E+03 109130 852 SAFH 840 840 0 0.1 6.9E+02 1 8.7E+03 110793 853 SAFH 841 841 0 0.1 8E+02 1 9.1E+03 111479 854 SAFH 842 842 0 0.1 1.3E+03 1 7.1E+03 109342 855 SAFH 843 843 0 0.1 1.1E+03 1 5.7E+03 107115 856 SAFH 844 844 0 0.1 1.2E+03 1 8E+03 109603 857 SAFH 845 845 0 0.1 8.3E+02 1 7.4E+03 108449 858 SAFH 846 846 0 0.1 8.9E+02 1 6.4E+03 107215 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 847 847 0 0.1 7E+02 1 4.3E+03 107399 860 SAFH 848 848 0 0.1 1.6E+03 1 1E+04 105531 861 SAFH 849 849 0 0.1 1.5E+03 1 6.3E+03 108148 862 SAFH 850 850 0 0.1 8.4E+02 1 5.8E+03 110113 863 SAFH 851 851 0 0.1 9.3E+02 1 7.1E+03 111605 864 SAFH 852 852 0 0.1 1.5E+03 1 5.5E+03 109102 865 SAFH 853 853 0 0.1 4.5E+02 1 5.7E+03 108049 866 SAFH 854 854 0 0.1 5E+02 1 4.6E+03 108821 867 SAFH 855 855 0 0.1 9.3E+02 1 6.4E+03 108978 868 SAFH 856 856 0 0.1 1.3E+03 1 5.5E+03 110121 869 SAFH 857 857 0 0.1 9E+02 1 6.8E+03 107699 870 SAFH 858 858 0 0.1 1.6E+03 1 3.3E+03 106979 871 SAFH 859 859 0 0.1 1.4E+03 1 6.2E+03 110862 872 SAFH 860 860 0 0.1 1.3E+03 1 5.7E+03 107015 873 SAFH 861 861 0 0.1 1.3E+03 1 2.8E+03 107874 874 SAFH 862 862 0 0.1 1.5E+03 1 7.4E+03 108335 875 SAFH 863 863 0 0.1 1E+03 1 4.6E+03 106949 876 SAFH 864 864 0 0.1 8.5E+02 1 6.5E+03 110507 877 SAFH 865 865 0 0.1 9.7E+02 1 4E+03 106456 878 SAFH 866 866 0 0.1 1.1E+03 1 4.8E+03 105663 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 867 867 0 0.1 1.4E+03 1 6.6E+03 110536 880 SAFH 868 868 0 0.1 8.1E+02 1 8E+03 108862 881 SAFH 869 869 0 0.1 1.1E+03 1 8.3E+03 109358 882 SAFH 870 870 0 0.1 1.5E+03 1 8.1E+03 112129 883 SAFH 871 871 0 0.1 1.2E+03 1 3.7E+03 109558 884 SAFH 872 872 0 0.1 1.7E+03 1 4.8E+03 108791 885 SAFH 873 873 0 0.1 8.2E+02 1 3.2E+03 106853 886 SAFH 874 874 0 0.1 1.3E+03 1 4.5E+03 109573 887 SAFH 875 875 0 0.1 1.4E+03 1 5.8E+03 112235 888 SAFH 876 876 0 0.1 1.8E+03 1 6.1E+03 105725 889 SAFH 877 877 0 0.1 8E+02 1 3.9E+03 107565 890 SAFH 878 878 0 0.1 1.8E+03 1 7E+03 111832 891 SAFH 879 879 0 0.1 1.4E+03 1 6.7E+03 112963 892 SAFH 880 880 0 0.1 5.8E+02 1 7.4E+03 112906 893 SAFH 881 881 0 0.1 1.5E+03 1 5.1E+03 108782 894 SAFH 882 882 0 0.1 5.2E+02 1 8.5E+03 108712 895 SAFH 883 883 0 0.1 1.2E+03 1 7.2E+03 114879 896 SAFH 884 884 0 0.1 1.6E+03 1 8.7E+03 108586 897 SAFH 885 885 0 0.1 1.5E+03 1 7.6E+03 108417 898 SAFH 886 886 0 0.1 1.3E+03 1 4.9E+03 108795 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 887 887 0 0.1 1.3E+03 1 5.1E+03 107779 900 SAFH 888 888 0 0.1 2.2E+03 1 8E+03 115743 901 SAFH 889 889 0 0.1 1.8E+03 1 4.4E+03 107217 902 SAFH 890 890 0 0.1 1.3E+03 1 7E+03 110033 903 SAFH 891 891 0 0.1 1.4E+03 1 4.9E+03 107658 904 SAFH 892 892 0 0.1 1E+03 1 4.7E+03 106751 905 SAFH 893 893 0 0.1 7.2E+02 1 3E+03 107887 906 SAFH 894 894 0 0.1 7.5E+02 1 5.1E+03 109725 907 SAFH 895 895 0 0.1 3.5E+02 1 3.8E+03 108566 908 SAFH 896 896 0 0.1 1.1E+03 1 3.4E+03 110045 909 SAFH 897 897 0 0.1 5.1E+02 1 3.9E+03 112108 910 SAFH 898 898 0 0.1 7.6E+02 1 2.9E+03 108597 911 SAFH 899 899 0 0.1 7.4E+02 1 7.1E+03 108593 912 SAFH 900 900 0 0.1 1.1E+03 1 1.1E+04 109992 913 SAFH 901 901 0 0.1 1.1E+03 1 2.4E+03 109205 914 SAFH 902 902 0 0.1 1.1E+03 1 3.8E+03 106000 915 SAFH 903 903 0 0.1 8.7E+02 1 2.8E+03 107080 916 SAFH 904 904 0 0.1 9E+02 1 2.6E+03 108076 917 SAFH 905 905 0 0.1 1.3E+03 1 4.8E+03 110602 918 SAFH 906 906 0 0.1 1.8E+03 1 3.5E+03 109568 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 907 907 0 0.1 1.3E+03 1 6.7E+03 113069 920 SAFH 908 908 0 0.1 8E+02 1 6.8E+03 109142 921 SAFH 909 909 0 0.1 1.3E+03 1 5.9E+03 107242 922 SAFH 910 910 0 0.1 4.9E+02 1 3.1E+03 108478 923 SAFH 911 911 0 0.1 4.7E+02 1 6.2E+03 107991 924 SAFH 912 912 0 0.1 8.7E+02 1 3.8E+03 108593 925 SAFH 913 913 0 0.1 5.2E+02 1 3.2E+03 107165 926 SAFH 914 914 0 0.1 5.4E+02 1 6E+03 110876 927 SAFH 915 915 0 0.1 6.6E+02 1 2.6E+03 106986 928 SAFH 916 916 0 0.1 2.2E+02 1 2.6E+03 108956 929 SAFH 917 917 0 0.1 8.3E+02 1 6.5E+03 109614 930 SAFH 918 918 0 0.1 6E+02 1 5.6E+03 111851 931 SAFH 919 919 0 0.1 4E+02 1 3.6E+03 111349 932 SAFH 920 920 0 0.1 3.6E+02 1 4.4E+03 112225 933 SAFH 921 921 0 0.1 1.1E+03 1 4.3E+03 109618 934 SAFH 922 922 0 0.1 4.1E+02 1 5E+03 108574 935 SAFH 923 923 0 0.1 2.7E+02 1 2.8E+03 109175 936 SAFH 924 924 0 0.1 6.2E+02 1 2.9E+03 109409 937 SAFH 925 925 0 0.1 7E+02 1 2.6E+03 107320 938 SAFH 926 926 0 0.1 5.7E+02 1 2.9E+03 108030 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 927 927 0 0.1 1.2E+03 1 5.7E+03 113407 940 SAFH 928 928 0 0.1 1E+03 1 7.4E+03 110540 941 SAFH 929 929 0 0.1 9.3E+02 1 3.4E+03 109707 942 SAFH 930 930 0 0.1 6.5E+02 1 5.5E+03 110651 943 SAFH 931 931 0 0.1 8.3E+02 1 5E+03 108554 944 SAFH 932 932 0 0.1 1.3E+03 1 3.8E+03 108029 945 SAFH 933 933 0 0.1 1.6E+03 1 5.3E+03 111738 946 SAFH 934 934 0 0.1 2.4E+02 1 4.1E+03 113037 947 SAFH 935 935 0 0.1 1.6E+03 1 3.8E+03 108931 948 SAFH 936 936 0 0.1 1.1E+03 1 2.4E+03 108871 949 SAFH 937 937 0 0.1 1.2E+03 1 4.6E+03 109234 950 SAFH 938 938 0 0.1 7.2E+02 1 3.3E+03 108828 951 SAFH 939 939 0 0.1 8.3E+02 1 5.8E+03 109805 952 SAFH 940 940 0 0.1 1.3E+03 1 2.4E+03 108883 953 SAFH 941 941 0 0.1 8.8E+02 1 3.1E+03 107440 954 SAFH 942 942 0 0.1 9.7E+02 1 5.2E+03 108201 955 SAFH 943 943 0 0.1 1.4E+03 1 7.2E+03 112360 956 SAFH 944 944 0 0.1 1.7E+03 1 9.9E+03 108271 957 SAFH 945 945 0 0.1 1.8E+03 1 7.4E+03 109231 958 SAFH 946 946 0 0.1 1.6E+03 1 5.3E+03 109374 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 947 947 0 0.1 1.3E+03 1 2.2E+03 108628 960 SAFH 948 948 0 0.1 1.2E+03 1 5.4E+03 107665 961 SAFH 949 949 0 0.1 1.1E+03 1 3.2E+03 109317 962 SAFH 950 950 0 0.1 3.6E+02 1 2.2E+03 109519 963 SAFH 951 951 0 0.1 1.1E+03 1 3.9E+03 108574 964 SAFH 952 952 0 0.1 1.7E+03 1 4.1E+03 109027 965 SAFH 953 953 0 0.1 4.4E+02 1 6.8E+03 109733 966 SAFH 954 954 0 0.1 1.3E+02 1 3.5E+03 110086 967 SAFH 955 955 0 0.1 2.6E+02 1 4.3E+03 111096 968 SAFH 956 956 0 0.1 1.7E+03 1 1.8E+03 108342 969 SAFH 957 957 0 0.1 1.8E+03 1 3.7E+03 111290 970 SAFH 958 958 0 0.1 2.7E+02 1 3.5E+03 111490 971 SAFH 959 959 0 0.1 1.5E+03 1 2.6E+03 109328 972 SAFH 960 960 0 0.1 1.5E+03 1 4.1E+03 107145 973 SAFH 961 961 0 0.1 1.3E+03 1 6.6E+03 110642 974 SAFH 962 962 0 0.1 1.2E+03 1 9.9E+03 107520 975 SAFH 963 963 0 0.1 1.6E+03 1 7.6E+03 113442 976 SAFH 964 964 0 0.1 1.4E+03 1 3E+03 107372 977 SAFH 965 965 0 0.1 9.1E+02 1 2.4E+03 108393 978 SAFH 966 966 0 0.1 2.6E+02 1 2.8E+03 107427 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 967 967 0 0.1 1.1E+03 1 6.8E+03 109225 980 SAFH 968 968 0 0.1 1.2E+03 1 1.9E+03 108405 981 SAFH 969 969 0 0.1 1.3E+03 1 4E+03 107770 982 SAFH 970 970 0 0.1 7.6E+02 1 4E+03 108317 983 SAFH 971 971 0 0.1 5.2E+02 1 3.8E+03 109908 984 SAFH 972 972 0 0.1 7.9E+02 1 2.7E+03 108438 985 SAFH 973 973 0 0.1 2.7E+02 1 3.2E+03 109338 986 SAFH 974 974 0 0.1 9.5E+02 1 1.5E+03 107447 987 SAFH 975 975 0 0.1 8.2E+02 1 1.5E+03 109304 988 SAFH 976 976 0 0.1 2.4E+02 1 1.6E+03 109396 989 SAFH 977 977 0 0.1 1.2E+03 1 6.4E+03 109561 990 SAFH 978 978 0 0.1 1.2E+03 1 4.8E+03 109564 991 SAFH 979 979 0 0.1 1.6E+03 1 4.1E+03 108842 992 SAFH 980 980 0 0.1 1E+03 1 4.1E+03 109531 993 SAFH 981 981 0 0.1 1.1E+03 1 3.8E+03 108945 994 SAFH 982 982 0 0.1 1.3E+03 1 1.5E+03 108701 995 SAFH 983 983 0 0.1 1.4E+03 1 3.5E+03 109040 996 SAFH 984 984 0 0.1 1.1E+03 1 5.2E+03 110701 997 SAFH 985 985 0 0.1 7.7E+02 1 2.2E+03 108352 998 SAFH 986 986 0 0.1 1.2E+03 1 5.2E+03 112779 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 987 987 0 0.1 1.6E+03 1 7.9E+03 110827 1000 SAFH 988 988 0 0.1 7.4E+02 1 6.2E+03 110308 1001 SAFH 989 989 0 0.1 1.4E+03 1 5.5E+03 110305 1002 SAFH 990 990 0 0.1 1.1E+03 1 6.8E+03 109685 1003 SAFH 991 991 0 0.1 1.7E+03 1 1.5E+03 108611 1004 SAFH 992 992 0 0.1 1.4E+03 1 7.5E+03 110800 1005 SAFH 993 993 0 0.1 1.5E+03 1 3.5E+03 114489 1006 SAFH 994 994 0 0.1 1.6E+03 1 3.4E+03 109848 1007 SAFH 995 995 0 0.1 1.1E+03 1 2.6E+03 109118 1008 SAFH 996 996 0 0.1 4.6E+03 1 0.0034 532281 1009 SAFH 997 997 0 0.1 4.6E+03 1 5.6E+03 109524 1010 SAFH 998 998 0 0.1 1.2E+03 1 2.2E+03 107355 1011 SAFH 999 999 0 0.1 9.7E+02 1 4E+03 107255 1012 SAFH 1000 1000 0 0.1 1.2E+03 1 6.1E+03 110487 1013 SAFH 1001 1001 0 0.1 1.6E+03 1 7.9E+03 111778 1014 SAFH 1002 1002 0 0.1 2.3E+02 1 6.7E+03 112602 1015 SAFH 1003 1003 0 0.1 1.3E+03 1 3.5E+03 109635 1016 SAFH 1004 1004 0 0.1 3.3E+02 1 3.8E+03 111529 1017 SAFH 1005 1005 0 0.1 9.2E+02 1 4.5E+03 109545 1018 SAFH 1006 1006 0 0.1 9.6E+02 1 2E+03 107419 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 1007 1007 0 0.1 1E+03 1 4.5E+03 107864 1020 SAFH 1008 1008 0 0.1 1E+03 1 3E+03 108168 1021 SAFH 1009 1009 0 0.1 7E+02 1 5.4E+03 112439 1022 SAFH 1010 1010 0 0.1 1.5E+03 1 2.1E+03 108692 1023 SAFH 1011 1011 0 0.1 7.8E+02 1 1.9E+03 108788 1024 SAFH 1012 1012 0 0.1 7.6E+02 1 1.2E+03 109202 1025 SAFH 1013 1013 0 0.1 7E+02 1 1.3E+03 108229 1026 SAFH 1014 1014 0 0.1 9.5E+02 1 2.7E+03 109816 1027 SAFH 1015 1015 0 0.1 1.5E+03 1 1.6E+03 109420 1028 SAFH 1016 1016 0 0.1 1.4E+03 1 6E+03 110127 1029 SAFH 1017 1017 0 0.1 1.6E+03 1 5.1E+03 111867 1030 SAFH 1018 1018 0 0.1 7.1E+02 1 4.7E+03 111205 1031 SAFH 1019 1019 0 0.1 7.7E+02 1 2.7E+03 109086 1032 SAFH 1020 1020 0 0.1 1.1E+03 1 2.6E+03 108931 1033 SAFH 1021 1021 0 0.1 9.2E+02 1 5.9E+03 110735 1034 SAFH 1022 1022 0 0.1 1.1E+03 1 1.4E+03 109131 1035 SAFH 1023 1023 0 0.1 8.7E+02 1 2E+03 110208 1036 SAFH 1024 1024 0 0.1 7.1E+02 1 1.2E+03 109161 1037 SAFH 1025 1025 0 0.1 2.1E+02 1 1.3E+03 109543 1038 SAFH 1026 1026 0 0.1 9.2E+02 1 4.9E+03 111245 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1039 SAFH 1027 1027 0 0.1 9.7E+02 1 3.4E+03 111816 1040 SAFH 1028 1028 0 0.1 1.7E+03 1 3.7E+03 109259 1041 SAFH 1029 1029 0 0.1 1.1E+03 1 2.7E+03 109537 1042 SAFH 1030 1030 0 0.1 6.9E+02 1 2.7E+03 108057 1043 SAFH 1031 1031 0 0.1 4.6E+02 1 2E+03 108745 1044 SAFH 1032 1032 0 0.1 7.5E+02 1 2.9E+03 108357 1045 SAFH 1033 1033 0 0.1 1E+03 1 2.4E+03 108920 1046 SAFH 1034 1034 0 0.1 1E+03 1 1.8E+03 107159 1047 SAFH 1035 1035 0 0.1 9.1E+02 1 3.3E+03 108104 1048 SAFH 1036 1036 0 0.1 8.9E+02 1 3.8E+03 109145 1049 SAFH 1037 1037 0 0.1 7E+02 1 3.3E+03 106913 1050 SAFH 1038 1038 0 0.1 1.3E+03 1 1.6E+03 110994 1051 SAFH 1039 1039 0 0.1 1.1E+03 1 7.4E+03 108378 1052 SAFH 1040 1040 0 0.1 4.6E+03 1 0.0022 532281 1053 SAFH 1041 1041 0 0.1 4.6E+03 1 4E+03 109620 1054 SAFH 1042 1042 0 0.1 1.2E+03 1 6.1E+03 111285 1055 SAFH 1043 1043 0 0.1 1.4E+03 1 7.2E+03 110727 1056 SAFH 1044 1044 0 0.1 8.8E+02 1 2.7E+03 109618 1057 SAFH 1045 1045 0 0.1 1.1E+03 1 8.7E+03 110621 1058 SAFG 1046 1046 0 0.1 9.8E+02 0 0 107983 1058 FOUND SOLUTION: 107983 (NLP) in 3422 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1059 SAFH 1046 1046 0 0.1 44 1 1.7E+03 106648 1060 SAFH 1047 1047 0 0.1 1E+03 1 3.6E+03 108783 1061 SAFH 1048 1048 0 0.1 9.9E+02 1 1.6E+03 107347 1062 SAFH 1049 1049 0 0.1 1.1E+03 1 2.6E+03 108442 1063 SAFH 1050 1050 0 0.1 9.9E+02 1 3.8E+03 107914 1064 SAFH 1051 1051 0 0.1 1E+03 1 1E+03 108848 1065 SAFH 1052 1052 0 0.1 3.6E+02 1 7.5E+02 108765 1066 SAFH 1053 1053 0 0.1 5.7E+02 1 8.3E+02 110296 1067 SAFH 1054 1054 0 0.1 6E+02 1 1.1E+03 108532 1068 SAFH 1055 1055 0 0.1 1.1E+03 1 2.8E+03 109366 1069 SAFH 1056 1056 0 0.1 1.1E+03 1 3.7E+03 108758 1070 SAFH 1057 1057 0 0.1 1.2E+03 1 4.6E+03 111083 1071 SAFH 1058 1058 0 0.1 1.2E+03 1 3.1E+03 108256 1072 SAFH 1059 1059 0 0.1 1E+03 1 5.9E+03 111412 1073 SAFH 1060 1060 0 0.1 1.1E+03 1 1.9E+03 108985 1074 SAFH 1061 1061 0 0.1 8.7E+02 1 3.4E+03 109032 1075 SAFH 1062 1062 0 0.1 8.5E+02 1 3.1E+03 109521 1076 SAFH 1063 1063 0 0.1 4.4E+02 1 1.5E+03 108919 1077 SAFH 1064 1064 0 0.1 4.5E+02 1 1.2E+03 110088 1078 SAFH 1065 1065 0 0.1 1.1E+02 1 1.5E+03 110454 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1079 SAFH 1066 1066 0 0.1 1.4E+02 1 2.1E+03 110475 1080 SAFH 1067 1067 0 0.1 7.1E+02 1 1.2E+03 108819 1081 SAFH 1068 1068 0 0.1 7.3E+02 1 2E+03 108884 1082 SAFH 1069 1069 0 0.1 1.1E+03 1 2.3E+03 111023 1083 SAFH 1070 1070 0 0.1 1.3E+03 1 5.6E+03 110603 1084 SAFH 1071 1071 0 0.1 1.1E+03 1 4.5E+03 109836 1085 SAFH 1072 1072 0 0.1 1.4E+03 1 3E+03 110355 1086 SAFH 1073 1073 0 0.1 5.5E+02 1 1.6E+03 109702 1087 SAFH 1074 1074 0 0.1 65 1 9.6E+02 109778 1088 SAFH 1075 1075 0 0.1 1.3E+03 1 6.3E+03 110073 1089 SAFH 1076 1076 0 0.1 1.3E+03 1 2E+03 108866 1090 SAFH 1077 1077 0 0.1 1.1E+03 1 9.1E+03 110760 1091 SAFH 1078 1078 0 0.1 1.3E+03 1 1.8E+03 108847 1092 SAFH 1079 1079 0 0.1 1.1E+03 1 3.2E+03 108868 1093 SAFH 1080 1080 0 0.1 1.2E+03 1 1.9E+03 109520 1094 SAFH 1081 1081 0 0.1 1E+03 1 3.8E+03 109954 1095 SAFH 1082 1082 0 0.1 1.3E+03 1 1E+04 110867 1096 SAFH 1083 1083 0 0.1 1.8E+03 1 4.9E+03 110984 1097 SAFH 1084 1084 0 0.1 1.3E+03 1 2E+03 109478 1098 SAFH 1085 1085 0 0.1 1.9E+03 1 6.3E+03 110550 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1099 SAFH 1086 1086 0 0.1 1.4E+03 1 1.4E+03 108909 1100 SAFH 1087 1087 0 0.1 8.5E+02 1 1.3E+03 109109 1101 SAFH 1088 1088 0 0.1 1.2E+03 1 2.6E+03 109081 1102 SAFH 1089 1089 0 0.1 1.6E+03 1 2.5E+03 110456 1103 SAFH 1090 1090 0 0.1 1.1E+03 1 5E+03 111433 1104 SAFH 1091 1091 0 0.1 1.2E+03 1 4.6E+03 111481 1105 SAFH 1092 1092 0 0.1 1.3E+03 1 2.2E+03 110829 1106 SAFH 1093 1093 0 0.1 2.4E+02 1 1.7E+03 110098 1107 SAFH 1094 1094 0 0.1 1.8E+03 1 2.2E+03 109882 1108 SAFH 1095 1095 0 0.1 1.6E+03 1 8.6E+02 109096 1109 SAFH 1096 1096 0 0.1 7.9E+02 1 9.7E+02 109119 1110 SAFH 1097 1097 0 0.1 8.9E+02 1 3.9E+03 110560 1111 SAFH 1098 1098 0 0.1 1.2E+03 1 2.4E+03 110928 1112 SAFH 1099 1099 0 0.1 8.1E+02 1 8.8E+02 109451 1113 SAFH 1100 1100 0 0.1 3E+02 1 6.3E+02 108669 1114 SAFH 1101 1101 0 0.1 6.4E+02 1 1.7E+03 109723 1115 SAFH 1102 1102 0 0.1 1.2E+03 1 3E+03 108937 1116 SAFH 1103 1103 0 0.1 4.4E+02 1 3.6E+03 110149 1117 SAFH 1104 1104 0 0.1 1.5E+03 1 5.6E+03 111503 1118 SAFH 1105 1105 0 0.1 1.3E+03 1 2E+03 110303 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1119 SAFH 1106 1106 0 0.1 1.8E+03 1 4.1E+03 112163 1120 SAFH 1107 1107 0 0.1 2.2E+03 1 3E+03 109870 1121 SAFH 1108 1108 0 0.1 1.1E+03 1 2E+03 108095 1122 SAFH 1109 1109 0 0.1 1.2E+03 1 1.2E+03 110720 1123 SAFH 1110 1110 0 0.1 84 1 1.1E+03 110861 1124 SAFH 1111 1111 0 0.1 6.3E+02 1 1.4E+03 109791 1125 SAFH 1112 1112 0 0.1 1.5E+03 1 4E+03 110793 1126 SAFH 1113 1113 0 0.1 8.3E+02 1 5E+03 112449 1127 SAFH 1114 1114 0 0.1 1.5E+03 1 7.5E+02 109183 1128 SAFH 1115 1115 0 0.1 8.5E+02 1 3.6E+03 109406 1129 SAFH 1116 1116 0 0.1 8.7E+02 1 2.2E+03 110447 1130 SAFH 1117 1117 0 0.1 1E+03 1 1.6E+03 107714 1131 SAFH 1118 1118 0 0.1 7.1E+02 1 1.5E+03 108103 1132 SAFH 1119 1119 0 0.1 1.1E+03 1 3.7E+03 109929 1133 SAFH 1120 1120 0 0.1 3.2E+02 1 5.4E+03 111343 1134 SAFH 1121 1121 0 0.1 3E+02 1 4.8E+03 110331 1135 SAFH 1122 1122 0 0.1 1.9E+02 1 4.4E+03 110914 1136 SAFH 1123 1123 0 0.1 2.1E+02 1 4.5E+03 111072 1137 SAFH 1124 1124 0 0.1 1.8E+03 1 9.9E+03 120751 1138 SAFH 1125 1125 0 0.1 1.5E+03 1 4.4E+03 111251 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1139 SAFH 1126 1126 0 0.1 8.2E+02 1 4.3E+03 109561 1140 SAFH 1127 1127 0 0.1 1.3E+03 1 1.1E+04 110170 1141 SAFH 1128 1128 0 0.1 1.6E+03 1 6.4E+03 111771 1142 SAFH 1129 1129 0 0.1 2.1E+02 1 5.3E+03 113369 1143 SAFH 1130 1130 0 0.1 1.7E+03 1 6.7E+03 113112 1144 SAFH 1131 1131 0 0.1 1.7E+03 1 4E+03 110300 1145 SAFH 1132 1132 0 0.1 1.3E+03 1 2.1E+03 108210 1146 SAFH 1133 1133 0 0.1 3.6E+02 1 8.3E+02 108111 1147 SAFH 1134 1134 0 0.1 1.4E+03 1 3.2E+03 110052 1148 SAFH 1135 1135 0 0.1 1.2E+03 1 1.5E+03 107962 1149 SAFH 1136 1136 0 0.1 5.7E+02 1 3.3E+03 109778 1150 SAFH 1137 1137 0 0.1 1.4E+03 1 8.1E+03 112426 1151 SAFH 1138 1138 0 0.1 1E+03 1 4.9E+03 112105 1152 SAFH 1139 1139 0 0.1 1.2E+03 1 1.9E+03 109690 1153 SAFH 1140 1140 0 0.1 1.3E+03 1 3.1E+03 108732 1154 SAFH 1141 1141 0 0.1 1.1E+03 1 2.7E+03 109689 1155 SAFH 1142 1142 0 0.1 1.3E+03 1 2.8E+03 110431 1156 SAFH 1143 1143 0 0.1 1.8E+03 1 3.5E+03 111086 1157 SAFH 1144 1144 0 0.1 1.6E+03 1 1.8E+03 109307 1158 SAFH 1145 1145 0 0.1 3.9E+02 1 2.6E+03 108900 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1159 SAFH 1146 1146 0 0.1 1.6E+03 1 4E+03 110346 1160 SAFH 1147 1147 0 0.1 8.7E+02 1 2.3E+03 108508 1161 SAFH 1148 1148 0 0.1 7.6E+02 1 4E+03 109279 1162 SAFH 1149 1149 0 0.1 1.1E+03 1 1.7E+03 109836 1163 SAFH 1150 1150 0 0.1 1.1E+02 1 9.9E+02 110123 1164 SAFH 1151 1151 0 0.1 3.7E+02 1 2.7E+03 111016 1165 SAFH 1152 1152 0 0.1 76 1 1.1E+03 111052 1166 SAFH 1153 1153 0 0.1 1.2E+02 1 2E+03 111210 1167 SAFH 1154 1154 0 0.1 89 1 8.4E+02 111338 1168 SAFH 1155 1155 0 0.1 2E+02 1 1.3E+03 113306 1169 SAFH 1156 1156 0 0.1 2E+02 1 9.9E+02 111552 1170 SAFH 1157 1157 0 0.1 40 1 4.3E+02 111594 1171 SAFH 1158 1158 0 0.1 64 1 5.4E+02 111631 1172 SAFH 1159 1159 0 0.1 49 1 2.8E+02 111667 1173 SAFH 1160 1160 0 0.1 68 1 3.9E+02 111755 1174 SAFH 1161 1161 0 0.1 52 1 2.8E+02 111785 1175 SAFH 1162 1162 0 0.1 35 1 1.5E+02 111789 1176 SAFH 1163 1163 0 0.1 43 1 1.8E+02 111823 1177 SAFH 1164 1164 0 0.1 34 1 1.9E+02 111827 1178 SAFH 1165 1165 0 0.1 24 1 77 111836 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1179 SAFH 1166 1166 0 0.1 28 1 1.5E+02 111851 1180 SAFH 1167 1167 0 0.1 18 1 67 111856 1181 SAFH 1168 1168 0 0.1 27 1 1.1E+02 111858 1182 SAFH 1169 1169 0 0.1 27 1 96 111865 1183 SAFH 1170 1170 0 0.1 19 1 42 111866 1184 SAFH 1171 1171 0 0.1 2.7E+02 1 2.2E+03 111710 1185 SAFH 1172 1172 0 0.1 3.8E+02 1 1.1E+03 113650 1186 SAFH 1173 1173 0 0.1 5.9E+02 1 3.5E+03 113393 1187 SAFH 1174 1174 0 0.1 8.1E+02 1 4E+03 113641 1188 SAFH 1175 1175 0 0.1 1.5E+03 1 5.3E+03 112143 1189 SAFH 1176 1176 0 0.1 1.4E+03 1 1.9E+03 107848 1190 SAFH 1177 1177 0 0.1 1.1E+03 1 8.2E+03 111217 1191 SAFH 1178 1178 0 0.1 1.3E+03 1 2.2E+03 108206 1192 SAFH 1179 1179 0 0.1 8.8E+02 1 1.5E+03 109304 1193 SAFH 1180 1180 0 0.1 8.7E+02 1 2.8E+03 112425 1194 SAFH 1181 1181 0 0.1 1.2E+03 1 4.9E+03 110166 1195 SAFH 1182 1182 0 0.1 1.3E+03 1 3.1E+03 112796 1196 SAFH 1183 1183 0 0.1 1.2E+03 1 4.3E+03 111319 1197 SAFH 1184 1184 0 0.1 1.3E+03 1 4.6E+03 115599 1198 SAFH 1185 1185 0 0.1 1.5E+03 1 2.1E+03 109285 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1199 SAFH 1186 1186 0 0.1 8.6E+02 1 1.3E+03 109113 1200 SAFH 1187 1187 0 0.1 1.6E+03 1 6.3E+03 116719 1201 SAFH 1188 1188 0 0.1 1E+03 1 9.3E+03 111415 1202 SAFH 1189 1189 0 0.1 1.5E+03 1 2.6E+03 113673 1203 SAFH 1190 1190 0 0.1 1.1E+03 1 5.3E+03 110977 1204 SAFH 1191 1191 0 0.1 1.5E+03 1 2.2E+03 111496 1205 SAFH 1192 1192 0 0.1 1.1E+03 1 5.7E+03 114072 1206 SAFH 1193 1193 0 0.1 1.1E+03 1 5.6E+03 113965 1207 SAFH 1194 1194 0 0.1 9.9E+02 1 1.1E+04 112125 1208 SAFH 1195 1195 0 0.1 1.3E+03 1 3.1E+03 109790 1209 SAFH 1196 1196 0 0.1 1.8E+03 1 6E+03 111539 1210 SAFH 1197 1197 0 0.1 1.2E+03 1 5.2E+03 110342 1211 SAFH 1198 1198 0 0.1 1.4E+03 1 1.9E+03 108723 1212 SAFH 1199 1199 0 0.1 5.9E+02 1 2.7E+03 110579 1213 SAFH 1200 1200 0 0.1 7.2E+02 1 5E+03 110162 1214 SAFH 1201 1201 0 0.1 1.2E+03 1 5.5E+03 112299 1215 SAFH 1202 1202 0 0.1 1.7E+03 1 3.1E+03 109655 1216 SAFH 1203 1203 0 0.1 1.7E+03 1 2E+03 110437 1217 SAFH 1204 1204 0 0.1 1.4E+03 1 2.8E+03 112030 1218 SAFH 1205 1205 0 0.1 8.6E+02 1 2.7E+03 110035 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1219 SAFH 1206 1206 0 0.1 9.7E+02 1 9.6E+02 109311 1220 SAFH 1207 1207 0 0.1 66 1 5E+02 109361 1221 SAFH 1208 1208 0 0.1 3.3E+02 1 1E+03 109078 1222 SAFH 1209 1209 0 0.1 3.7E+02 1 1.9E+03 109421 1223 SAFH 1210 1210 0 0.1 1.4E+03 1 4.8E+03 111686 1224 SAFH 1211 1211 0 0.1 1.6E+03 1 2.2E+03 109798 1225 SAFH 1212 1212 0 0.1 6.1E+02 1 1E+03 109112 1226 SAFH 1213 1213 0 0.1 9.4E+02 1 3.2E+03 110142 1227 SAFH 1214 1214 0 0.1 1E+03 1 5.8E+03 111018 1228 SAFH 1215 1215 0 0.1 1E+03 1 2.1E+03 109482 1229 SAFH 1216 1216 0 0.1 8.5E+02 1 7.1E+02 108834 1230 SAFH 1217 1217 0 0.1 9.5E+02 1 2.9E+03 108915 1231 SAFH 1218 1218 0 0.1 1.2E+03 1 2.8E+03 110037 1232 SAFH 1219 1219 0 0.1 1.9E+02 1 1.5E+03 111468 1233 SAFH 1220 1220 0 0.1 4.5E+02 1 4E+03 111571 1234 SAFH 1221 1221 0 0.1 5.9E+02 1 4.4E+03 111880 1235 SAFH 1222 1222 0 0.1 1.4E+02 1 2.8E+03 111910 1236 SAFH 1223 1223 0 0.1 9.3E+02 1 3.2E+03 111025 1237 SAFH 1224 1224 0 0.1 7.8E+02 1 7.3E+03 114887 1238 SAFH 1225 1225 0 0.1 1.1E+03 1 3.2E+03 109079 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1239 SAFH 1226 1226 0 0.1 1.5E+02 1 3.8E+03 109369 1240 SAFH 1227 1227 0 0.1 2.5E+02 1 2E+03 109721 1241 SAFH 1228 1228 0 0.1 1.1E+03 1 4E+03 112005 1242 SAFH 1229 1229 0 0.1 9.6E+02 1 2.9E+03 111295 1243 SAFH 1230 1230 0 0.1 2.5E+02 1 3.3E+03 111719 1244 SAFH 1231 1231 0 0.1 6E+02 1 2.1E+03 111275 1245 SAFH 1232 1232 0 0.1 6E+02 1 2.2E+03 112276 1246 SAFH 1233 1233 0 0.1 3.1E+02 1 1.7E+03 111693 1247 SAFH 1234 1234 0 0.1 2.6E+02 1 1.3E+03 111955 1248 SAFH 1235 1235 0 0.1 89 1 1.2E+03 112339 1249 SAFH 1236 1236 0 0.1 81 1 1.4E+03 112348 1250 SAFH 1237 1237 0 0.1 72 1 7.7E+02 112416 1251 SAFH 1238 1238 0 0.1 1.7E+02 1 6.7E+02 112461 1252 SAFH 1239 1239 0 0.1 76 1 6.3E+02 112560 1253 SAFH 1240 1240 0 0.1 1.5E+02 1 5.3E+02 112607 1254 SAFH 1241 1241 0 0.1 6.3E+02 1 1.2E+03 109419 1255 SAFH 1242 1242 0 0.1 65 1 1.2E+03 109423 1256 SAFH 1243 1243 0 0.1 8.1E+02 1 2.8E+03 109551 1257 SAFH 1244 1244 0 0.1 6.1E+02 1 2.8E+03 110912 1258 SAFH 1245 1245 0 0.1 6.8E+02 1 8.5E+02 109271 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1259 SAFH 1246 1246 0 0.1 4.9E+02 1 2E+03 108896 1260 SAFH 1247 1247 0 0.1 1.6E+03 1 6.9E+03 110477 1261 SAFH 1248 1248 0 0.1 1.7E+03 1 3.4E+03 112117 1262 SAFH 1249 1249 0 0.1 1.4E+03 1 1.4E+03 108455 1263 SAFH 1250 1250 0 0.1 6.2E+02 1 5.6E+03 111310 1264 SAFH 1251 1251 0 0.1 7.2E+02 1 7.5E+02 109621 1265 SAFH 1252 1252 0 0.1 8.6E+02 1 2E+03 108500 1266 SAFH 1253 1253 0 0.1 7.2E+02 1 1E+03 109795 1267 SAFH 1254 1254 0 0.1 3.7E+02 1 1.3E+03 110435 1268 SAFH 1255 1255 0 0.1 6.9E+02 1 3.7E+03 109866 1269 SAFH 1256 1256 0 0.1 2.6E+02 1 3.6E+03 110185 1270 SAFH 1257 1257 0 0.1 6E+02 1 2E+03 108816 1271 SAFH 1258 1258 0 0.1 2.4E+02 1 3.2E+03 111641 1272 SAFH 1259 1259 0 0.1 3.5E+02 1 1.8E+03 110963 1273 SAFH 1260 1260 0 0.1 3.9E+02 1 3.1E+03 110407 1274 SAFH 1261 1261 0 0.1 4.1E+02 1 2.3E+03 110397 1275 SAFH 1262 1262 0 0.1 1.3E+02 1 1.8E+03 110912 1276 SAFH 1263 1263 0 0.1 2.4E+02 1 2E+03 111076 1277 SAFH 1264 1264 0 0.1 2.5E+02 1 1.5E+03 111101 1278 SAFH 1265 1265 0 0.1 1.3E+02 1 2.1E+03 111140 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1279 SAFH 1266 1266 0 0.1 1.5E+02 1 2.6E+03 111226 1280 SAFH 1267 1267 0 0.1 92 1 9.4E+02 111283 1281 SAFH 1268 1268 0 0.1 2.7E+02 1 1.7E+03 111491 1282 SAFH 1269 1269 0 0.1 2.7E+02 1 1.6E+03 111535 1283 SAFH 1270 1270 0 0.1 5.3E+02 1 1.7E+03 107545 1284 SAFH 1271 1271 0 0.1 9.1E+02 1 5.4E+03 110720 1285 SAFH 1272 1272 0 0.1 1.7E+02 1 4.2E+03 110971 1286 SAFH 1273 1273 0 0.1 1.3E+02 1 2.3E+03 110983 1287 SAFH 1274 1274 0 0.1 4.3E+02 1 5.9E+03 111137 1288 SAFH 1275 1275 0 0.1 1.3E+03 1 4.3E+03 114181 1289 SAFH 1276 1276 0 0.1 1.2E+03 1 6.7E+03 110141 1290 SAFH 1277 1277 0 0.1 1.3E+03 1 2.8E+03 110393 1291 SAFH 1278 1278 0 0.1 4.5E+02 1 8.1E+03 110693 1292 SAFH 1279 1279 0 0.1 1.1E+03 1 4.6E+03 109585 1293 SAFH 1280 1280 0 0.1 9.8E+02 1 6.2E+02 109813 1294 SAFH 1281 1281 0 0.1 4.4E+02 1 1.8E+03 109462 1295 SAFH 1282 1282 0 0.1 1.4E+03 1 6.5E+03 114223 1296 SAFH 1283 1283 0 0.1 1E+03 1 9.2E+02 109208 1297 SAFH 1284 1284 0 0.1 4.7E+02 1 6E+03 110297 1298 SAFH 1285 1285 0 0.1 8.8E+02 1 6.9E+03 114605 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1299 SAFH 1286 1286 0 0.1 7E+02 1 4.7E+03 111509 1300 SAFH 1287 1287 0 0.1 1.4E+03 1 2.8E+03 111141 1301 SAFH 1288 1288 0 0.1 1.2E+03 1 4.8E+03 112959 1302 SAFH 1289 1289 0 0.1 2.2E+03 1 4.3E+03 108746 1303 SAFH 1290 1290 0 0.1 1.1E+03 1 5.7E+02 108766 1304 SAFH 1291 1291 0 0.1 6.4E+02 1 2E+03 111020 1305 SAFH 1292 1292 0 0.1 5E+02 1 1.5E+03 111867 1306 SAFH 1293 1293 0 0.1 1.3E+03 1 2E+03 110803 1307 SAFH 1294 1294 0 0.1 1.6E+03 1 2.8E+03 109589 1308 SAFH 1295 1295 0 0.1 4E+02 1 2.2E+03 109969 1309 SAFH 1296 1296 0 0.1 1.6E+03 1 4.2E+03 111280 1310 SAFH 1297 1297 0 0.1 7.8E+02 1 5.7E+02 109270 1311 SAFH 1298 1298 0 0.1 48 1 3.8E+02 109285 1312 SAFH 1299 1299 0 0.1 1.9E+02 1 6.5E+02 109375 1313 SAFH 1300 1300 0 0.1 8.4E+02 1 2E+03 109909 1314 SAFH 1301 1301 0 0.1 6.9E+02 1 1.7E+03 111124 1315 SAFH 1302 1302 0 0.1 6.2E+02 1 4E+03 111166 1316 SAFH 1303 1303 0 0.1 6.9E+02 1 1.5E+03 110471 1317 SAFH 1304 1304 0 0.1 5E+02 1 2.3E+03 110984 1318 SAFH 1305 1305 0 0.1 1.1E+03 1 1.1E+03 110417 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1319 SAFH 1306 1306 0 0.1 1.4E+02 1 1.8E+03 110465 1320 SAFH 1307 1307 0 0.1 1.5E+03 1 4.7E+03 113463 1321 SAFH 1308 1308 0 0.1 7.4E+02 1 5.3E+03 112028 1322 SAFH 1309 1309 0 0.1 8.1E+02 1 2.2E+03 109473 1323 SAFH 1310 1310 0 0.1 7.8E+02 1 1.2E+03 110677 1324 SAFH 1311 1311 0 0.1 1.8E+02 1 1E+03 111365 1325 SAFH 1312 1312 0 0.1 7E+02 1 5.4E+03 111135 1326 SAFH 1313 1313 0 0.1 1.7E+03 1 5.7E+03 111891 1327 SAFH 1314 1314 0 0.1 1.5E+03 1 3E+03 111560 1328 SAFH 1315 1315 0 0.1 4.6E+03 1 0.0019 532281 1329 SAFH 1316 1316 0 0.1 4.4E+03 1 2.7E+03 112290 1330 SAFH 1317 1317 0 0.1 1.3E+03 1 8E+03 113298 1331 SAFH 1318 1318 0 0.1 1.2E+03 1 3.9E+03 111237 1332 SAFH 1319 1319 0 0.1 1.4E+03 1 1.5E+03 109525 1333 SAFH 1320 1320 0 0.1 5.2E+02 1 9.5E+02 108200 1334 SAFH 1321 1321 0 0.1 1.6E+02 1 7E+02 108274 1335 SAFH 1322 1322 0 0.1 6.6E+02 1 1.5E+03 109635 1336 SAFH 1323 1323 0 0.1 66 1 7.5E+02 109664 1337 SAFH 1324 1324 0 0.1 64 1 9.2E+02 109676 1338 SAFH 1325 1325 0 0.1 2.5E+02 1 1.2E+03 109986 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1339 SAFH 1326 1326 0 0.1 1.1E+02 1 9E+02 110191 1340 SAFH 1327 1327 0 0.1 9.8E+02 1 2.4E+03 110157 1341 SAFH 1328 1328 0 0.1 5E+02 1 2.7E+03 111499 1342 SAFH 1329 1329 0 0.1 1.3E+02 1 3.3E+03 111691 1343 SAFH 1330 1330 0 0.1 7.8E+02 1 7.7E+03 115065 1344 SAFH 1331 1331 0 0.1 7.8E+02 1 9.1E+02 110261 1345 SAFH 1332 1332 0 0.1 6.3E+02 1 4.3E+03 113405 1346 SAFH 1333 1333 0 0.1 1.3E+03 1 6.9E+02 108819 1347 SAFH 1334 1334 0 0.1 1.3E+03 1 1.7E+03 108223 1348 SAFH 1335 1335 0 0.1 8.2E+02 1 4.9E+02 109402 1349 SAFH 1336 1336 0 0.1 5.2E+02 1 1.8E+03 110284 1350 SAFH 1337 1337 0 0.1 7E+02 1 2E+03 108947 1351 SAFH 1338 1338 0 0.1 6.5E+02 1 3.4E+03 110371 1352 SAFH 1339 1339 0 0.1 1.3E+03 1 2.4E+03 110329 1353 SAFH 1340 1340 0 0.1 1.1E+03 1 4.8E+03 111541 1354 SAFH 1341 1341 0 0.1 1.4E+03 1 3.6E+03 111672 1355 SAFH 1342 1342 0 0.1 9.5E+02 1 1.8E+03 107969 1356 SAFH 1343 1343 0 0.1 1.3E+03 1 4.7E+03 111104 1357 SAFH 1344 1344 0 0.1 9E+02 1 3.8E+03 110675 1358 SAFH 1345 1345 0 0.1 1.5E+03 1 4.5E+03 111570 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1359 SAFH 1346 1346 0 0.1 1.4E+03 1 5.1E+03 111928 1360 SAFH 1347 1347 0 0.1 1.1E+03 1 3.4E+03 108948 1361 SAFH 1348 1348 0 0.1 1.3E+03 1 7.7E+03 112374 1362 SAFH 1349 1349 0 0.1 1.3E+03 1 5.3E+03 112270 1363 SAFH 1350 1350 0 0.1 1.2E+03 1 1.5E+03 108292 1364 SAFH 1351 1351 0 0.1 7.7E+02 1 1.6E+03 107434 1365 SAFH 1352 1352 0 0.1 9.3E+02 1 2.6E+03 111632 1366 SAFH 1353 1353 0 0.1 2.7E+02 1 2.6E+03 112002 1367 SAFH 1354 1354 0 0.1 3E+02 1 3.4E+03 112822 1368 SAFH 1355 1355 0 0.1 73 1 1.2E+03 112858 1369 SAFH 1356 1356 0 0.1 2.9E+02 1 3.3E+03 113705 1370 SAFH 1357 1357 0 0.1 2.7E+02 1 2.6E+03 113206 1371 SAFH 1358 1358 0 0.1 8.5E+02 1 3.4E+03 112007 1372 SAFH 1359 1359 0 0.1 4.2E+02 1 7.1E+03 113356 1373 SAFH 1360 1360 0 0.1 2.8E+02 1 3.7E+03 111707 1374 SAFH 1361 1361 0 0.1 5E+02 1 1.1E+03 109883 1375 SAFH 1362 1362 0 0.1 5.1E+02 1 2.5E+03 112500 1376 SAFH 1363 1363 0 0.1 4.8E+02 1 8.4E+02 109975 1377 SAFH 1364 1364 0 0.1 88 1 1E+03 109996 1378 SAFH 1365 1365 0 0.1 81 1 6.7E+02 110053 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1379 SAFH 1366 1366 0 0.1 5.5E+02 1 1.4E+03 112897 1380 SAFH 1367 1367 0 0.1 66 1 8.9E+02 112956 1381 SAFH 1368 1368 0 0.1 79 1 9E+02 113163 1382 SAFH 1369 1369 0 0.1 3.9E+02 1 4E+03 113351 1383 SAFH 1370 1370 0 0.1 1.4E+02 1 2.5E+03 113779 1384 SAFH 1371 1371 0 0.1 1.4E+03 1 6.9E+03 113039 1385 SAFH 1372 1372 0 0.1 1.1E+03 1 5.6E+03 112540 1386 SAFH 1373 1373 0 0.1 1.6E+03 1 7.2E+03 110321 1387 SAFH 1374 1374 0 0.1 9.9E+02 1 9.4E+03 113031 1388 SAFH 1375 1375 0 0.1 1.2E+03 1 2.4E+03 111283 1389 SAFH 1376 1376 0 0.1 1.4E+02 1 2.1E+03 111769 1390 SAFH 1377 1377 0 0.1 6.9E+02 1 1.7E+03 110157 1391 SAFH 1378 1378 0 0.1 7.1E+02 1 2.3E+03 112197 1392 SAFH 1379 1379 0 0.1 1.3E+02 1 2.5E+03 112274 1393 SAFH 1380 1380 0 0.1 78 1 1E+03 112298 1394 SAFH 1381 1381 0 0.1 6.1E+02 1 2.1E+03 109206 1395 SAFH 1382 1382 0 0.1 1.2E+03 1 1E+03 109486 1396 SAFH 1383 1383 0 0.1 1.1E+03 1 2.2E+03 110807 1397 SAFH 1384 1384 0 0.1 1.1E+03 1 5.9E+02 109122 1398 SAFH 1385 1385 0 0.1 69 1 6.5E+02 109183 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1399 SAFH 1386 1386 0 0.1 1.4E+03 1 2.8E+03 110418 1400 SAFH 1387 1387 0 0.1 1.1E+03 1 4.1E+03 111948 1401 SAFH 1388 1388 0 0.1 2.7E+02 1 2.4E+03 112073 1402 SAFH 1389 1389 0 0.1 1.1E+03 1 4.6E+03 110652 1403 SAFH 1390 1390 0 0.1 1.3E+03 1 4.6E+03 112765 1404 SAFH 1391 1391 0 0.1 1.7E+03 1 1.6E+03 108838 1405 SAFH 1392 1392 0 0.1 1.2E+03 1 6.4E+03 110141 1406 SAFH 1393 1393 0 0.1 1E+03 1 2.7E+03 109376 1407 SAFH 1394 1394 0 0.1 1.1E+02 1 2E+03 109464 1408 SAFH 1395 1395 0 0.1 1.2E+02 1 1.7E+03 109619 1409 SAFH 1396 1396 0 0.1 1.2E+02 1 2.3E+03 109771 1410 SAFH 1397 1397 0 0.1 1E+03 1 6.6E+02 109932 1411 SAFH 1398 1398 0 0.1 69 1 4.3E+02 109944 1412 SAFH 1399 1399 0 0.1 64 1 6.1E+02 109975 1413 SAFH 1400 1400 0 0.1 9.6E+02 1 3.2E+03 109237 1414 SAFH 1401 1401 0 0.1 1.5E+03 1 4E+03 110962 1415 SAFH 1402 1402 0 0.1 1.3E+03 1 9.2E+02 110788 1416 SAFH 1403 1403 0 0.1 2.3E+02 1 1.6E+03 110957 1417 SAFH 1404 1404 0 0.1 1.1E+03 1 1.9E+03 110547 1418 SAFH 1405 1405 0 0.1 8.6E+02 1 1.5E+03 108455 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1419 SAFH 1406 1406 0 0.1 1E+03 1 3.2E+03 110690 1420 SAFH 1407 1407 0 0.1 1.6E+03 1 4.7E+02 109497 1421 SAFH 1408 1408 0 0.1 1.2E+03 1 4.4E+03 111786 1422 SAFH 1409 1409 0 0.1 1.5E+03 1 4.6E+03 112148 1423 SAFH 1410 1410 0 0.1 1.3E+03 1 2.8E+03 110168 1424 SAFH 1411 1411 0 0.1 7.4E+02 1 1.8E+03 108142 1425 SAFH 1412 1412 0 0.1 4.6E+02 1 3.4E+03 109785 1426 SAFH 1413 1413 0 0.1 5.8E+02 1 9.4E+02 107952 1427 SAFH 1414 1414 0 0.1 5.3E+02 1 1E+03 108065 1428 SAFH 1415 1415 0 0.1 3.6E+02 1 7.2E+02 108104 1429 SAFH 1416 1416 0 0.1 5.7E+02 1 1.4E+03 108356 1430 SAFH 1417 1417 0 0.1 1.2E+03 1 3.6E+03 111031 1431 SAFH 1418 1418 0 0.1 1.3E+03 1 4E+03 111097 1432 SAFH 1419 1419 0 0.1 8.1E+02 1 1.5E+03 107441 1433 SAFH 1420 1420 0 0.1 6E+02 1 1.5E+03 109803 1434 SAFH 1421 1421 0 0.1 3.5E+02 1 3.6E+03 109598 1435 SAFH 1422 1422 0 0.1 9.7E+02 1 3.2E+03 111043 1436 SAFH 1423 1423 0 0.1 6.9E+02 1 2.5E+03 109568 1437 SAFH 1424 1424 0 0.1 1.3E+03 1 4.1E+03 109936 1438 SAFH 1425 1425 0 0.1 7.6E+02 1 1.1E+03 110281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1439 SAFH 1426 1426 0 0.1 7.2E+02 1 1.7E+03 108476 1440 SAFH 1427 1427 0 0.1 8.3E+02 1 6.4E+02 110218 1441 SAFH 1428 1428 0 0.1 8.7E+02 1 1.8E+03 109078 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.57_SLay09H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 107982.98325312754605 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 107982.98325312754605 Max constraint (1) : -0 Time used (seconds) : 7202.13 Time limit (seconds) : 7200 Iterations used : 1442 Iteration limit : -1 Function evaluations : 12746 Gradient evaluations : 1430 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.3 % MIP time usage : 99.7 % Optimal/total MIPs : 0/1442 NLP solver calls : 1441 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay09H.gms(2383) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay09H.gms Stop 09/14/12 16:38:13 elapsed 2:00:02.270 @04 1347633493 ----------------------------- Fr 14. Sep 16:38:13 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay09M.gms =========== ----------------------------- Fr 14. Sep 14:38:11 CEST 2012 ----------------------------- @03 1347626291 --- Job SLay09M.gms Start 09/14/12 14:38:11 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay09M.gms(798) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- SLay09M.gms(796) 3 Mb --- Generating MIQCP model m --- SLay09M.gms(798) 5 Mb --- 325 rows 235 columns 1,099 non-zeroes --- 75 nl-code 18 nl-non-zeroes --- 144 discrete-columns --- SLay09M.gms(798) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.58_SLay09M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1099 elements of which 2% are non-linear(NL) included in 325 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 18 from a total of 235 variables: Continuous(91), Binary(144), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=42 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 7.7E+05 NA 1 SAFG 1 1 0 1 1.1E+03 0 0 532281 1 FOUND SOLUTION: 532281 (NLP) in 1 sec. 2 SAFH 1 1 0 1 4.3E+02 1 3.4E+06 -1.86146E+06 3 SAFH 2 2 0 1 7.5E+02 1 1.6E+06 -801701 4 SAFH 3 3 0 1 8.4E+02 1 1.4E+06 -231195 5 SAFH 4 4 0 1 8.2E+02 1 8.8E+05 67189 6 SAFH 5 5 0 1 4.8E+02 1 5.6E+05 146821 7 SAFH 6 6 0 1 3.5E+02 1 6.4E+05 187660 8 SAFH 7 7 0 1 6E+02 1 4.7E+05 245670 9 SAFH 8 8 0 1 5.5E+02 1 3.8E+05 297375 10 SAFH 9 9 0 1 4.5E+02 1 2.2E+05 346066 11 SAFH 10 10 0 1 4.9E+02 1 2.7E+05 428054 12 SAFH 11 11 0 1 3.1E+02 1 1.6E+05 438643 13 SAFH 12 12 0 1 2.9E+02 1 1E+05 474221 14 SAFH 13 13 0 1 4.2E+02 1 1.7E+05 484594 15 SAFH 14 14 0 1 2.8E+02 1 8E+04 487702 16 SAFH 15 15 0 1 2.1E+02 1 5.9E+04 493111 17 SAFH 16 16 0 1 2.3E+02 1 6.9E+04 493135 18 SAFH 17 17 0 1 2.9E+02 1 8.9E+04 496157 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 2.3E+02 1 5.6E+04 501210 20 SAFH 19 19 0 1 2E+02 1 3.9E+04 502513 21 SAFH 20 20 0 1 2.6E+02 1 3.8E+04 510409 22 SAFH 21 21 0 1 1.8E+02 1 3.8E+04 511163 23 SAFH 22 22 0 1 1.3E+02 1 2E+04 516403 24 SAFH 23 23 0 1 1.6E+02 1 3E+04 520523 25 SAFH 24 24 0 1 1.2E+02 1 1.6E+04 523200 26 SAFH 25 25 0 1 1.7E+02 1 2.1E+04 524152 27 SAFH 26 26 0 1 1.4E+02 1 1.8E+04 524812 28 SAFH 27 27 0 1 1.3E+02 1 1.6E+04 524914 29 SAFH 28 28 0 1 1.1E+02 1 1.1E+04 525374 30 SAFH 29 29 0 1 1.1E+02 1 7.5E+03 526276 31 SAFH 30 30 0 1 1.3E+02 1 1.4E+04 527320 32 SAFH 31 31 0 1 92 1 9.9E+03 528093 33 SAFH 32 32 0 1 83 1 7.7E+03 528589 34 SAFH 33 33 0 1 88 1 7.5E+03 528860 35 SAFH 34 34 0 1 61 1 5.5E+03 528874 36 SAFH 35 35 0 1 62 1 4.7E+03 529242 37 SAFH 36 36 0 1 1E+02 1 5.9E+03 529757 38 SAFH 37 37 0 1 71 1 4.6E+03 529936 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 59 1 3.1E+03 530207 40 SAFH 39 39 0 1 73 1 4E+03 530316 41 SAFH 40 40 0 1 63 1 3.7E+03 530427 42 SAFH 41 41 0 1 48 1 2.2E+03 530559 43 SAFH 42 42 0 1 69 1 3.8E+03 530747 44 SAFH 43 43 0 1 42 1 2.3E+03 530964 45 SAFH 44 44 0 1 45 1 2E+03 531210 46 SAFH 45 45 0 1 69 1 3.2E+03 531400 47 SAFH 46 46 0 1 63 1 2.4E+03 531416 48 SAFH 47 47 0 1 42 1 1.3E+03 531426 49 SAFH 48 48 0 1 47 1 1.4E+03 531539 50 SAFH 49 49 0 1 49 1 1.6E+03 531550 51 SAFH 50 50 0 1 35 1 9.3E+02 531554 52 SAFH 51 51 0 1 39 1 1.2E+03 531724 53 SAFH 52 52 0 1 33 1 1E+03 531801 54 SAFH 53 53 0 1 34 1 8.1E+02 531838 55 SAFH 54 54 0 1 29 1 6.3E+02 531866 56 SAFH 55 55 0 1 31 1 6.6E+02 531902 57 SAFH 56 56 0 1 31 1 1E+03 531950 58 SAFH 57 57 0 1 24 1 4.6E+02 531975 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 31 1 8.7E+02 532027 60 SAFH 59 59 0 1 29 1 7.8E+02 532038 61 SAFH 60 60 0 1 21 1 3.5E+02 532042 62 SAFH 61 61 0 1 23 1 4.6E+02 532055 63 SAFH 62 62 0 1 20 1 3.4E+02 532067 64 SAFH 63 63 0 1 20 1 3E+02 532096 65 SAFH 64 64 0 1 28 1 5.3E+02 532101 66 SAFH 65 65 0 1 17 1 2.1E+02 532121 67 SAFH 66 66 0 1 20 1 3.3E+02 532166 68 SAFH 67 67 0 1 17 1 2.2E+02 532171 69 SAFH 68 68 0 1 16 1 2.1E+02 532173 70 SAFH 69 69 0 1 13 1 1.6E+02 532175 71 SAFH 70 70 0 1 14 1 1.3E+02 532193 72 SAFH 71 71 0 1 12 1 1.3E+02 532217 73 SAFH 72 72 0 1 12 1 99 532223 74 SAFH 73 73 0 1 13 1 1E+02 532227 75 SAFH 74 74 0 1 13 1 89 532231 76 SAFH 75 75 0 1 9.4 1 81 532231 77 SAFH 76 76 0 1 6.9 1 56 532233 78 SAFH 77 77 0 1 9.2 1 1E+02 532244 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 6.7 1 51 532254 80 SAFH 79 79 0 1 10 1 74 532255 81 SAFH 80 80 0 1 7.3 1 45 532259 82 SAFH 81 81 0 1 8.3 1 49 532262 83 SAFH 82 82 0 1 6.7 1 43 532262 84 SAFH 83 83 0 1 6 1 30 532264 85 SAFH 84 84 0 1 5.8 1 23 532265 86 SAFH 85 85 0 1 5.8 1 31 532269 87 SAFH 86 86 0 1 7.2 1 35 532270 88 SAFH 87 87 0 1 4.6 1 21 532270 89 SAFH 88 88 0 1 6 1 26 532271 90 SAFH 89 89 0 1 4 1 15 532272 91 SAFH 90 90 0 1 4.4 1 15 532272 92 SAFH 91 91 0 1 5.5 1 29 532273 93 SAFH 92 92 0 1 4.2 1 24 532273 94 SAFH 93 93 0 1 4 1 11 532273 95 SAFH 94 94 0 1 4.9 1 20 532274 96 SAFH 95 95 0 1 2.9 1 13 532275 97 SAFH 96 96 0 1 3.8 1 9.4 532275 98 SAFH 97 97 0 1 4 1 13 532276 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 98 98 0 1 2.7 1 8.1 532276 100 SAFH 99 99 0 1 2.3 1 6.6 532277 101 SAFH 100 100 0 1 3 1 6.6 532278 102 SAFH 101 101 0 1 3.2 1 6.6 532278 103 SAFH 102 102 0 1 2.5 1 5.3 532278 104 SAFH 103 103 0 1 2.5 1 3.8 532278 105 SAFH 104 104 0 1 2.5 1 4.9 532278 106 SAFH 105 105 0 1 2.5 1 6.4 532279 107 SAFH 106 106 0 1 2.1 1 3.2 532279 108 SAFH 107 107 0 1 1.8 1 3 532279 109 SAFH 108 108 0 1 1.9 1 3.2 532280 110 SAFH 109 109 0 1 1.4 1 2.4 532280 111 SAFH 110 110 0 1 1.7 1 2.1 532280 112 SAFH 111 111 0 1 1.5 1 2 532280 113 SAFH 112 112 0 1 1.3 1 2.3 532280 114 SAFH 113 113 0 1 1.4 1 1.2 532280 115 SAFH 114 114 0 1 1.2 1 1.5 532280 116 SAFH 115 115 0 1 1.4 1 1.4 532280 117 SAFH 116 116 0 1 1.3 1 1.3 532281 118 SAFH 117 117 0 1 1.1 1 1.1 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 118 118 0 1 0.94 1 0.71 532281 120 SAFH 119 119 0 1 1.1 1 1 532281 121 SAFH 120 120 0 1 0.8 1 0.74 532281 122 SAFH 121 121 0 1 1 1 0.73 532281 123 SAFH 122 122 0 1 0.99 1 0.58 532281 124 SAFH 123 123 0 1 0.72 1 0.65 532281 125 SAFH 124 124 0 1 0.73 1 0.49 532281 126 SAFH 125 125 0 1 0.9 1 0.4 532281 127 SAFH 126 126 0 1 0.63 1 0.36 532281 128 SAFH 127 127 0 1 0.71 1 0.5 532281 129 SAFH 128 128 0 1 0.62 1 0.34 532281 130 SAFH 129 129 0 1 0.61 1 0.25 532281 131 SAFH 130 130 0 1 0.49 1 0.29 532281 132 SAFH 131 131 0 1 0.44 1 0.25 532281 133 SAFH 132 132 0 1 0.49 1 0.18 532281 134 SAFH 133 133 0 1 0.55 1 0.2 532281 135 SAFH 134 134 0 1 0.35 1 0.14 532281 136 SAFH 135 135 0 1 0.48 1 0.23 532281 137 SAFH 136 136 0 1 0.35 1 0.16 532281 138 SAFH 137 137 0 1 0.3 1 0.097 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 138 138 0 1 0.52 1 0.19 532281 140 SAFH 139 139 0 1 0.41 1 0.12 532281 141 SAFH 140 140 0 1 0.28 1 0.09 532281 142 SAFH 141 141 0 1 0.34 1 0.077 532281 143 SAFH 142 142 0 1 0.28 1 0.076 532281 144 SAFH 143 143 0 1 0.28 1 0.08 532281 145 SAFH 144 144 0 1 0.21 1 0.045 532281 146 SAFH 145 145 0 1 0.27 1 0.08 532281 147 SAFH 146 146 0 1 0.23 1 0.046 532281 148 SAFH 147 147 0 1 0.25 1 0.044 532281 149 SAFH 148 148 0 1 0.16 1 0.043 532281 150 SAFH 149 149 0 1 0.23 1 0.048 532281 151 SAFH 150 150 0 1 0.19 1 0.036 532281 152 SAFH 151 151 0 1 0.14 1 0.021 532281 153 SAFH 152 152 0 1 0.21 1 0.032 532281 154 SAFH 153 153 0 1 0.18 1 0.043 532281 155 SAFH 154 154 0 1 0.2 1 0.034 532281 156 SAFH 155 155 0 1 0.2 1 0.02 532281 157 SAFH 156 156 0 1 0.15 1 0.032 532281 158 SAFH 157 157 0 1 0.16 1 0.025 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 158 158 0 1 0.13 1 0.014 532281 160 SAFH 159 159 0 1 0.16 1 0.017 532281 161 SAFH 160 160 0 1 0.16 1 0.019 532281 162 SAFH 161 161 0 1 0.13 1 0.017 532281 163 SAFH 162 162 0 1 0.098 1 0.0099 532281 164 SAFH 163 163 0 1 0.13 1 0.011 532281 165 SAFH 164 164 0 1 0.16 1 0.017 532281 166 SAFH 165 165 0 1 0.098 1 0.013 532281 167 SAFH 166 166 0 1 0.081 1 0.0078 532281 168 SAFH 167 167 0 1 0.068 1 0.011 532281 169 SAFH 168 168 0 1 0.084 1 0.0058 532281 170 SAFH 169 169 0 1 0.13 1 0.0089 532281 171 SAFH 170 170 0 1 0.072 1 0.0059 532281 172 SAFH 171 171 0 1 0.086 1 0.0067 532281 173 SAFH 172 172 0 1 0.054 1 0.0041 532281 174 SAFH 173 173 0 1 0.077 1 0.0042 532281 175 SAFH 174 174 0 1 0.081 1 0.0042 532281 176 SAFH 175 175 0 1 0.065 1 0.0041 532281 177 SAFH 176 176 0 1 0.049 1 0.0027 532281 178 SAFH 177 177 0 1 0.053 1 0.0026 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 178 178 0 1 0.053 1 0.0027 532281 180 SAFH 179 179 0 1 0.056 1 0.0022 532281 181 SAFH 180 180 0 1 0.042 1 0.0021 532281 182 SAFH 181 181 0 1 0.033 1 0.0018 532281 183 SAFH 182 182 0 1 0.042 1 0.0013 532281 184 SAFH 183 183 0 1 0.044 1 0.0017 532281 185 SAFH 184 184 0 1 0.044 1 0.0013 532281 186 SAFH 185 185 0 1 0.029 1 0.00091 532281 187 SAFH 186 186 0 1 0.043 1 0.0013 532281 188 SAFH 187 187 0 1 0.037 1 0.00077 532281 189 SAFH 188 188 0 1 0.037 1 0.00092 532281 190 SAFH 189 189 0 1 0.025 1 0.00058 532281 191 SAFH 190 190 0 1 0.023 1 0.00086 532281 192 SAFH 191 191 0 1 0.025 1 0.00058 532281 193 SAFH 192 192 0 1 0.017 1 0.00048 532281 194 SAFH 193 193 0 1 0.031 1 0.00053 532281 195 SAFH 194 194 0 1 0.025 1 0.00041 532281 196 SAFH 195 195 0 1 0.016 1 0.00034 532281 197 SAFH 196 196 0 1 0.022 1 0.0003 532281 198 SAFH 197 197 0 1 0.021 1 0.00033 532281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 198 198 0 1 0.014 1 0.00028 532281 200 SAFH 199 199 0 1 0.015 1 0.00021 532281 201 SAFG 200 200 0 0.5 5.4E+02 0 0 271873 201 FOUND SOLUTION: 271873 (NLP) in 7 sec. 202 SAFH 200 200 0 0.5 5.1E+02 1 1.3E+06 -500429 203 SAFJL 201 201 0 0.5 2.1E+03 0 0 2.21998E+06 204 SAFJ 200 200 0 0.3 0 0 0 2.21998E+06 205 SAFJ 200 200 0 0.2 0 0 0 2.21998E+06 206 SAFJ 200 200 0 0.1 0 0 0 2.21998E+06 207 AFG 200 200 0 0 2.3E+03 0 0 124758 207 FOUND SOLUTION: 124758 (NLP) in 9 sec. 208 AFH 200 200 0 0 1.6E+02 1 8E+05 -537515 209 AFH 201 201 0 0 9.5E+02 1 7E+05 -238738 210 AFG 202 202 0 0 7.1E+02 0 0 122898 210 FOUND SOLUTION: 122898 (NLP) in 13 sec. 211 AFH 202 202 0 0 1.8E+02 1 4.2E+05 -167088 212 AFG 203 203 0 0 3.7E+02 0 0 116047 212 FOUND SOLUTION: 116047 (NLP) in 16 sec. 213 AFH 203 203 0 0 2.1E+02 1 3.5E+05 -123519 214 AFH 204 204 0 0 6.1E+02 1 2.7E+05 -51290.1 215 AFH 205 205 0 0 7.4E+02 1 1.9E+05 -32798.4 216 AFH 206 206 0 0 7E+02 1 2.5E+05 5562.13 217 AFH 207 207 0 0 4.7E+02 1 1.6E+05 13500.1 218 AFG 208 208 0 0 3.3E+02 0 0 111347 218 FOUND SOLUTION: 111347 (NLP) in 32 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 208 208 0 0 2.1E+02 1 1.2E+05 35606.8 220 AFH 209 209 0 0 2.9E+02 1 1.3E+05 43930 221 AFG 210 210 0 0 3.1E+02 0 0 111077 221 FOUND SOLUTION: 111077 (NLP) in 42 sec. 222 AFH 210 210 0 0 85 1 6.9E+04 53352.7 223 AFH 211 211 0 0 3.3E+02 1 8.4E+04 59591.4 224 AFH 212 212 0 0 3.3E+02 1 6.2E+04 68813.9 225 AFH 213 213 0 0 2.2E+02 1 7.3E+04 76876.8 226 AFH 214 214 0 0 2.5E+02 1 3.7E+04 80303.4 227 AFH 215 215 0 0 3.7E+02 1 6.7E+04 82485.4 228 AFG 216 216 0 0 3.3E+02 0 0 110063 228 FOUND SOLUTION: 110063 (NLP) in 57 sec. 229 AFH 216 216 0 0 58 1 3.7E+04 83467 230 AFH 217 217 0 0 2.9E+02 1 6.4E+04 85570.9 231 AFH 218 218 0 0 2.7E+02 1 3.6E+04 86462.9 232 AFH 219 219 0 0 2.5E+02 1 3.1E+04 89521 233 AFH 220 220 0 0 2.3E+02 1 2.7E+04 91823.2 234 AFH 221 221 0 0 2.4E+02 1 2.5E+04 92073.9 235 AFG 222 222 0 0 1E+02 0 0 109448 235 FOUND SOLUTION: 109448 (NLP) in 73 sec. 236 AFH 222 222 0 0 67 1 2.4E+04 93211.8 237 AFH 223 223 0 0 3.4E+02 1 5.2E+04 95007.9 238 AFH 224 224 0 0 2.2E+02 1 2.9E+04 95070.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 225 225 0 0 2.8E+02 1 2.4E+04 95301.5 240 AFH 226 226 0 0 2.3E+02 1 2.5E+04 96356.5 241 AFH 227 227 0 0 2E+02 1 1.7E+04 96604.7 242 AFH 228 228 0 0 2.5E+02 1 2.1E+04 96609.1 243 AFH 229 229 0 0 2.2E+02 1 1.7E+04 97026.3 244 AFG 230 230 0 0 1.6E+02 0 0 107806 244 FOUND SOLUTION: 107806 (NLP) in 104 sec. 245 AFH 230 230 0 0 30 1 1.1E+04 97650.3 246 AFH 231 231 0 0 2E+02 1 1.4E+04 99373.8 247 AFH 232 232 0 0 2.7E+02 1 2.3E+04 100194 248 AFH 233 233 0 0 2.3E+02 1 1.5E+04 101223 249 AFH 234 234 0 0 2.5E+02 1 2.6E+04 101309 250 AFH 235 235 0 0 2.9E+02 1 1.1E+04 101464 251 AFH 236 236 0 0 2.6E+02 1 1.5E+04 101839 252 AFH 237 237 0 0 1.8E+02 1 9.6E+03 102137 253 AFH 238 238 0 0 2.3E+02 1 1.4E+04 102480 254 AFH 239 239 0 0 1.8E+02 1 1.1E+04 102740 255 AFH 240 240 0 0 2.1E+02 1 1.3E+04 102919 256 AFH 241 241 0 0 2.1E+02 1 1.5E+04 102979 257 AFH 242 242 0 0 2.4E+02 1 1.1E+04 103499 258 AFH 243 243 0 0 1.8E+02 1 1.1E+04 103587 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 244 244 0 0 1.9E+02 1 1E+04 103599 260 AFH 245 245 0 0 1.2E+02 1 7E+03 103697 261 AFH 246 246 0 0 1.7E+02 1 1.3E+04 103846 262 AFH 247 247 0 0 97 1 7.9E+03 103955 263 AFH 248 248 0 0 2E+02 1 8.7E+03 104080 264 AFH 249 249 0 0 1.7E+02 1 2.4E+04 104377 265 AFH 250 250 0 0 2.4E+02 1 6.3E+03 104420 266 AFH 251 251 0 0 1.1E+02 1 5.4E+03 104493 267 AFH 252 252 0 0 1.9E+02 1 1.3E+04 104789 268 AFH 253 253 0 0 2E+02 1 4.2E+03 104850 269 AFH 254 254 0 0 1.8E+02 1 1.2E+04 104900 270 AFH 255 255 0 0 1.2E+02 1 6.3E+03 104981 271 AFH 256 256 0 0 98 1 8.2E+03 105081 272 AFH 257 257 0 0 2.3E+02 1 9.4E+03 105087 273 AFH 258 258 0 0 1.9E+02 1 7.5E+03 105090 274 AFH 259 259 0 0 1.2E+02 1 6.5E+03 105267 275 AFH 260 260 0 0 1.8E+02 1 7.2E+03 105396 276 AFH 261 261 0 0 80 1 3.8E+03 105469 277 AFH 262 262 0 0 2E+02 1 8.7E+03 105476 278 AFH 263 263 0 0 1.6E+02 1 4.7E+03 105488 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 264 264 0 0 1.8E+02 1 8.3E+03 105622 280 AFH 265 265 0 0 1.7E+02 1 4.3E+03 105935 281 AFH 266 266 0 0 1.2E+02 1 6E+03 106052 282 AFH 267 267 0 0 1.4E+02 1 5E+03 106055 283 AFH 268 268 0 0 76 1 3.1E+03 106132 284 AFH 269 269 0 0 1.4E+02 1 5.1E+03 106162 285 AFH 270 270 0 0 1.7E+02 1 4.8E+03 106189 286 AFH 271 271 0 0 1.2E+02 1 2.2E+03 106215 287 AFH 272 272 0 0 1.4E+02 1 1.2E+04 106235 288 AFH 273 273 0 0 1.6E+02 1 4.2E+03 106343 289 AFH 274 274 0 0 1.3E+02 1 3.6E+03 106344 290 AFH 275 275 0 0 1E+02 1 2.3E+03 106402 291 AFH 276 276 0 0 88 1 2.5E+03 106529 292 AFH 277 277 0 0 1.6E+02 1 6.4E+03 106576 293 AFH 278 278 0 0 1.5E+02 1 2.9E+03 106629 294 AFH 279 279 0 0 2E+02 1 9.1E+03 106646 295 AFH 280 280 0 0 2E+02 1 7.6E+03 106657 296 AFH 281 281 0 0 2.1E+02 1 2.5E+03 106674 297 AFH 282 282 0 0 1.5E+02 1 3.5E+03 106730 298 AFH 283 283 0 0 1.7E+02 1 1.3E+03 106738 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 284 284 0 0 1.5E+02 1 5.5E+03 106767 300 AFH 285 285 0 0 2.3E+02 1 1.1E+04 106884 301 AFH 286 286 0 0 2.5E+02 1 3.7E+03 106944 302 AFH 287 287 0 0 1.5E+02 1 2.2E+03 107010 303 AFH 288 288 0 0 81 1 4.1E+03 107055 304 AFH 289 289 0 0 73 1 2.5E+03 107121 305 AFH 290 290 0 0 50 1 1.2E+03 107191 306 AFH 291 291 0 0 43 1 1.3E+03 107200 307 AFH 292 292 0 0 27 1 8.8E+02 107252 308 AFH 293 293 0 0 73 1 2.2E+03 107277 309 AFH 294 294 0 0 1.7E+02 1 3.7E+03 107329 310 AFH 295 295 0 0 1.3E+02 1 9.5E+02 107333 311 AFH 296 296 0 0 87 1 2.5E+03 107363 312 AFH 297 297 0 0 1.9E+02 1 4.3E+03 107363 313 AFH 298 298 0 0 1.8E+02 1 4.2E+03 107364 314 AFH 299 299 0 0 1.2E+02 1 8.3E+02 107377 315 AFH 300 300 0 0 1.2E+02 1 2.4E+03 107380 316 AFH 301 301 0 0 1.2E+02 1 4.9E+02 107408 317 AFH 302 302 0 0 1.4E+02 1 4.9E+03 107416 318 AFH 303 303 0 0 1.3E+02 1 6.6E+03 107446 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 304 304 0 0 1.5E+02 1 1.3E+03 107463 320 AFH 305 305 0 0 1.2E+02 1 2.8E+03 107468 321 AFH 306 306 0 0 1.4E+02 1 4.5E+03 107507 322 AFH 307 307 0 0 1.4E+02 1 8.5E+02 107524 323 AFH 308 308 0 0 68 1 2E+03 107528 324 AFH 309 309 0 0 65 1 5.7E+02 107539 325 AFH 310 310 0 0 1.8E+02 1 8.5E+03 107541 326 AFH 311 311 0 0 1.8E+02 1 4.1E+02 107563 327 AFH 312 312 0 0 84 1 2.6E+03 107595 328 AFH 313 313 0 0 1E+02 1 5E+02 107603 329 AFH 314 314 0 0 24 1 4E+02 107614 330 AFH 315 315 0 0 22 1 2.5E+02 107620 331 AFH 316 316 0 0 12 1 2.5E+02 107674 332 AFH 317 317 0 0 1.2E+02 1 2.2E+03 107675 333 AFH 318 318 0 0 1.6E+02 1 2.6E+03 107685 334 AFH 319 319 0 0 1.1E+02 1 2.6E+02 107689 335 AFH 320 320 0 0 17 1 2.6E+02 107696 336 AFH 321 321 0 0 67 1 1.9E+03 107701 337 AFH 322 322 0 0 1.3E+02 1 1.5E+03 107701 338 AFH 323 323 0 0 90 1 1.4E+02 107703 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 324 324 0 0 1.7E+02 1 1.3E+04 107703 340 AFH 325 325 0 0 1.7E+02 1 1.9E+02 107711 341 AFH 326 326 0 0 20 1 1.4E+02 107736 342 AFH 327 327 0 0 19 1 1.5E+02 107736 343 AFH 328 328 0 0 56 1 1.3E+03 107736 344 AFH 329 329 0 0 55 1 1.1E+02 107737 345 AFH 330 330 0 0 6.9 1 80 107747 346 AFH 331 331 0 0 1.3E+02 1 6.4E+03 107759 347 AFH 332 332 0 0 1.3E+02 1 84 107764 348 AFH 333 333 0 0 14 1 62 107767 349 AFH 334 334 0 0 14 1 72 107772 350 AFH 335 335 0 0 12 1 45 107774 351 AFH 336 336 0 0 6 1 44 107776 352 AFH 337 337 0 0 7.7 1 53 107785 353 AFH 338 338 0 0 7 1 46 107787 354 AFH 339 339 0 0 4.1 1 23 107787 355 AFH 340 340 0 0 9.9 1 30 107791 356 AFH 341 341 0 0 5.2 1 28 107793 357 AFH 342 342 0 0 4.6 1 24 107794 358 AFH 343 343 0 0 4.5 1 16 107795 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 344 344 0 0 3.9 1 16 107796 360 AFH 345 345 0 0 4.7 1 14 107799 361 AFH 346 346 0 0 3.9 1 13 107799 362 AFH 347 347 0 0 4.2 1 10 107800 363 AFH 348 348 0 0 4.1 1 7.5 107800 364 AFH 349 349 0 0 7.4 1 8.4 107800 365 AFH 350 350 0 0 3.4 1 9.9 107801 366 AFH 351 351 0 0 3.3 1 8.3 107802 367 AFH 352 352 0 0 4.1 1 4.2 107803 368 AFH 353 353 0 0 2.7 1 5.3 107803 369 AFH 354 354 0 0 4.6 1 5.1 107803 370 AFH 355 355 0 0 5.6 1 3.6 107803 371 AFH 356 356 0 0 2.7 1 4.2 107804 372 AFH 357 357 0 0 1.7E+02 1 1E+04 107804 373 AFH 358 358 0 0 1.7E+02 1 2.4 107804 374 AFH 359 359 0 0 1.9 1 3 107804 375 AFH 360 360 0 0 3 1 2.8 107804 376 AFH 361 361 0 0 1.5 1 1.7 107804 377 AFH 362 362 0 0 1.5 1 1.9 107805 378 AFH 363 363 0 0 3.4 1 1.6 107805 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 364 364 0 0 1.6 1 1.5 107805 380 AFH 365 365 0 0 0.68 1 1.2 107805 381 AFH 366 366 0 0 0.91 1 0.78 107805 382 AFH 367 367 0 0 4.8 1 0.97 107805 383 AFH 368 368 0 0 0.99 1 0.84 107805 384 AFH 369 369 0 0 1.1 1 0.92 107805 385 AFH 370 370 0 0 0.75 1 0.48 107805 386 AFH 371 371 0 0 4.8 1 0.55 107805 387 AFH 372 372 0 0 0.87 1 0.47 107806 388 AFH 373 373 0 0 4.6 1 0.49 107806 389 AFH 374 374 0 0 4.5 1 0.36 107806 390 AFH 375 375 0 0 2.6 1 0.24 107806 391 AFH 376 376 0 0 2.5 1 0.4 107806 392 AFH 377 377 0 0 2.5 1 0.28 107806 393 AFH 378 378 0 0 0.46 1 0.2 107806 394 AFH 379 379 0 0 2.5 1 0.19 107806 395 AFH 380 380 0 0 2.6 1 0.28 107806 396 AFH 381 381 0 0 2.5 1 0.15 107806 397 AFH 382 382 0 0 0.38 1 0.12 107806 398 AFH 383 383 0 0 0.27 1 0.096 107806 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 384 384 0 0 0.34 1 0.083 107806 400 AFH 385 385 0 0 0.4 1 0.1 107806 401 AFH 386 386 0 0 0.26 1 0.067 107806 402 AFH 387 387 0 0 2.3 1 0.051 107806 403 AFH 388 388 0 0 4.2 1 0.049 107806 404 AFH 389 389 0 0 2.3 1 0.075 107806 405 AFH 390 390 0 0 6.2 1 0.033 107806 406 AFH 391 391 0 0 0.19 1 0.036 107806 407 AFH 392 392 0 0 0.17 1 0.033 107806 408 AFH 393 393 0 0 6.2 1 0.03 107806 409 AFH 394 394 0 0 0.11 1 0.017 107806 410 AFH 395 395 0 0 0.19 1 0.03 107806 411 AFH 396 396 0 0 0.13 1 0.022 107806 412 AFH 397 397 0 0 0.1 1 0.02 107806 413 AFH 398 398 0 0 0.1 1 0.015 107806 414 AFH 399 399 0 0 0.15 1 0.016 107806 415 AFH 400 400 0 0 0.11 1 0.0092 107806 416 AFH 401 401 0 0 0.096 1 0.009 107806 417 AFH 402 402 0 0 0.074 1 0.0092 107806 418 AFH 403 403 0 0 0.073 1 0.01 107806 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 404 404 0 0 0.086 1 0.0057 107806 420 AFH 405 405 0 0 0.09 1 0.0054 107806 421 AFH 406 406 0 0 0.082 1 0.0059 107806 422 AFH 407 407 0 0 0.082 1 0.0046 107806 423 AFH 408 408 0 0 2 1 0.0035 107806 424 AFH 409 409 0 0 0.059 1 0.003 107806 425 AFH 410 410 0 0 2 1 0.003 107806 426 AFH 411 411 0 0 0.055 1 0.0029 107806 427 AFH 412 412 0 0 2 1 0.0017 107806 428 AFH 413 413 0 0 2 1 0.002 107806 429 AFH 414 414 0 0 0.043 1 0.0012 107806 430 AFH 415 415 0 0 0.041 1 0.0017 107806 431 AFH 416 416 0 0 0.036 1 0.0013 107806 432 AFH 417 417 0 0 0.026 1 0.00099 107806 433 AFH 418 418 0 0 0.027 1 0.00078 107806 434 AFH 419 419 0 0 2 1 0.00071 107806 435 AFH 420 420 0 0 2 1 0.00069 107806 436 AFH 421 421 0 0 4 1 0.00059 107806 437 AFH 422 422 0 0 4 1 0.00039 107806 438 AFH 423 423 0 0 0.024 1 0.00063 107806 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 424 424 0 0 4 1 0.00032 107806 440 AFH 425 425 0 0 4 1 0.00031 107806 441 AFH 426 426 0 0 0.017 1 0.00032 107806 442 AFH 427 427 0 0 2 1 0.00031 107806 443 AFH 428 428 0 0 2 1 0.00038 107806 444 AFH 429 429 0 0 4 1 0.00015 107806 445 AFH 430 430 0 0 2 1 0.00031 107806 446 AFH 431 431 0 0 0.013 1 0.00019 107806 447 AFH 432 432 0 0 0.017 1 0.00025 107806 448 AFH 433 433 0 0 2 1 0.00016 107806 449 AFH 434 434 0 0 0.011 1 0.00013 107806 450 AFH 435 435 0 0 2 1 0.00014 107806 451 AFH 436 436 0 0 2 1 9.5E-05 107806 452 AFH 437 437 0 0 4 1 7.7E-05 107806 453 AFH 438 438 0 0 0.011 1 0.0001 107806 454 AFH 439 439 0 0 2 1 7.8E-05 107806 455 AFH 440 440 0 0 6 1 4.8E-05 107806 456 AFH 441 441 0 0 0.0071 1 6.3E-05 107806 457 AFH 442 442 0 0 0.0091 1 5E-05 107806 458 AFH 443 443 0 0 2 1 3.6E-05 107806 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 444 444 0 0 6 1 3.6E-05 107806 460 AFH 445 445 0 0 4 1 2.9E-05 107806 461 AFH 446 446 0 0 0.0059 1 2.8E-05 107806 462 AFH 447 447 0 0 0.0076 1 3.9E-05 107806 463 AFH 448 448 0 0 0.0049 1 1.6E-05 107806 464 AFH 449 449 0 0 0.0048 1 2.2E-05 107806 465 AFH 450 450 0 0 4 1 1.6E-05 107806 466 AFH 451 451 0 0 4 1 1.5E-05 107806 467 AFH 452 452 0 0 0.0039 1 1.4E-05 107806 468 AFH 453 453 0 0 0.0025 1 8.6E-06 107806 469 AFH 454 454 0 0 0.0026 1 7.3E-06 107806 470 AFH 455 455 0 0 0.0036 1 1.4E-05 107806 471 AFH 456 456 0 0 0.0023 1 6.2E-06 107806 472 AFH 457 457 0 0 0.0037 1 9.2E-06 107806 473 AFH 458 458 0 0 0.0024 1 5.7E-06 107806 474 AFH 459 459 0 0 0.0024 1 4.6E-06 107806 475 AFH 460 460 0 0 0.0026 1 7.3E-06 107806 476 AFH 461 461 0 0 0.0013 1 2.9E-06 107806 477 AFH 462 462 0 0 0.0012 1 4.3E-06 107806 478 AFH 463 463 0 0 0.0021 1 3.8E-06 107806 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 464 464 0 0 0.0018 1 2.5E-06 107806 480 AFH 465 465 0 0 0.001 1 2.8E-06 107806 481 AFH 466 466 0 0 0.0014 1 1.7E-06 107806 482 AFH 467 467 0 0 0.0018 1 2.2E-06 107806 483 AFH 468 468 0 0 4 1 2E-06 107806 484 AFH 469 469 0 0 4 1 1.1E-06 107806 485 AFH 470 470 0 0 0.0013 1 1.8E-06 107806 486 AFH 471 471 0 0 2 1 1.3E-06 107806 487 AFJ 472 472 0 0 2 0 9.5E-07 107806 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.58_SLay09M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 107805.75293242787302 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 107805.75293242787302 Max constraint (1) : -0 Time used (seconds) : 2096.61 Time limit (seconds) : 7200 Iterations used : 487 Iteration limit : -1 Function evaluations : 524 Gradient evaluations : 473 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.8 % Optimal/total MIPs : 281/487 NLP solver calls : 488 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay09M.gms(798) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay09M.gms Stop 09/14/12 15:13:08 elapsed 0:34:56.718 @04 1347628388 ----------------------------- Fr 14. Sep 15:13:08 CEST 2012 ----------------------------- =ready= Linux opt210 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay10H.gms =========== ----------------------------- Fr 14. Sep 14:38:15 CEST 2012 ----------------------------- @03 1347626295 --- Job SLay10H.gms Start 09/14/12 14:38:15 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay10H.gms(2966) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- SLay10H.gms(2964) 3 Mb --- Generating MIQCP model m --- SLay10H.gms(2966) 6 Mb --- 1,306 rows 1,011 columns 3,711 non-zeroes --- 83 nl-code 20 nl-non-zeroes --- 180 discrete-columns --- SLay10H.gms(2966) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.020 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.59_SLay10H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3711 elements of which 1% are non-linear(NL) included in 1306 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 20 from a total of 1011 variables: Continuous(831), Binary(180), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=214 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 8.1E+05 NA 1 SAFG 1 1 0 1 4.3E+03 0 0 520615 1 FOUND SOLUTION: 520615 (NLP) in 1 sec. 2 SAFH 1 1 0 1 2.7E+03 1 3.6E+06 -1.99058E+06 3 SAFG 2 2 0 1 8.2E+03 0 0 262784 3 FOUND SOLUTION: 262784 (NLP) in 2 sec. 4 SAFH 2 2 0 1 1.7E+03 1 1.9E+06 -1.20458E+06 5 SAFH 3 3 0 1 6.3E+03 1 1.6E+06 -703944 6 SAFH 4 4 0 1 6.5E+03 1 1.3E+06 -545276 7 SAFH 5 5 0 1 6.4E+03 1 1.2E+06 -446410 8 SAFH 6 6 0 1 4.6E+03 1 7E+05 -212181 9 SAFH 7 7 0 1 5.3E+03 1 6.3E+05 -287471 10 SAFH 8 8 0 1 4.5E+03 1 6.7E+05 -232658 11 SAFH 9 9 0 1 5.2E+03 1 6.9E+05 -69885.2 12 SAFH 10 10 0 1 4.5E+03 1 4.5E+05 64185.9 13 SAFH 11 11 0 1 3.7E+03 1 5E+05 -6992.85 14 SAFH 12 12 0 1 5.1E+03 1 6.4E+05 150644 15 SAFH 13 13 0 1 5.2E+03 1 4E+05 308134 16 SAFH 14 14 0 1 5.6E+03 1 4.2E+05 192732 17 SAFH 15 15 0 1 4.4E+03 1 3.1E+05 501058 18 SAFH 16 16 0 1 4.6E+03 1 3.2E+05 252988 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 17 17 0 1 5.1E+03 1 5.2E+05 -28661.5 20 SAFH 18 18 0 1 4.2E+03 1 3.1E+05 170822 21 SAFH 19 19 0 1 6.6E+03 1 6.3E+05 317500 22 SAFH 20 20 0 1 6.7E+02 1 4.9E+04 866613 23 SAFH 21 21 0 1 1.4E+03 1 1.8E+05 696116 24 SAFH 22 22 0 1 5.4E+03 1 4.7E+05 157610 25 SAFH 23 23 0 1 5.5E+03 1 7E+05 233245 26 SAFH 24 24 0 1 5.2E+03 1 5.5E+05 405513 27 SAFH 25 25 0 1 4E+03 1 1.7E+05 824234 28 SAFH 26 26 0 1 5.8E+03 1 3E+05 607858 29 SAFH 27 27 0 1 4.7E+03 1 3.4E+05 195484 30 SAFH 28 28 0 1 5.7E+03 1 4.6E+05 50946.3 31 SAFH 29 29 0 1 5.8E+03 1 4E+05 468880 32 SAFH 30 30 0 1 1.9E+03 1 2.8E+05 267703 33 SAFH 31 31 0 1 4.8E+03 1 4.7E+05 56830.7 34 SAFH 32 32 0 1 5.5E+03 1 3.2E+05 272845 35 SAFH 33 33 0 1 4.6E+03 1 4.3E+05 211271 36 SAFH 34 34 0 1 3.8E+03 1 2.1E+05 183777 37 SAFH 35 35 0 1 4E+03 1 4.3E+05 120767 38 SAFH 36 36 0 1 3.8E+03 1 3.5E+05 453027 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 37 37 0 1 4.5E+02 1 1E+05 621468 40 SAFH 38 38 0 1 1.2E+03 1 2.6E+05 259125 41 SAFH 39 39 0 1 5.5E+03 1 3.9E+05 282673 42 SAFH 40 40 0 1 5.5E+03 1 2.8E+05 113646 43 SAFH 41 41 0 1 5.1E+03 1 2.7E+05 449392 44 SAFH 42 42 0 1 2.1E+03 1 1.4E+05 382388 45 SAFH 43 43 0 1 4.9E+03 1 3.2E+05 231919 46 SAFH 44 44 0 1 4.7E+03 1 3.3E+05 152858 47 SAFH 45 45 0 1 4.5E+03 1 2.6E+05 296734 48 SAFH 46 46 0 1 3.9E+03 1 3.8E+05 148323 49 SAFH 47 47 0 1 4.3E+03 1 2.9E+05 287275 50 SAFH 48 48 0 1 4E+03 1 3.4E+05 320530 51 SAFH 49 49 0 1 8.1E+02 1 1.6E+05 530962 52 SAFH 50 50 0 1 5.4E+02 1 6.3E+04 568469 53 SAFH 51 51 0 1 3.5E+03 1 3E+05 203397 54 SAFH 52 52 0 1 4.1E+03 1 2.9E+05 246546 55 SAFH 53 53 0 1 3.3E+03 1 2.1E+05 179081 56 SAFH 54 54 0 1 4.1E+03 1 2E+05 119632 57 SAFH 55 55 0 1 4.9E+03 1 3.2E+05 125812 58 SAFH 56 56 0 1 5.4E+03 1 3.8E+05 345547 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 57 57 0 1 2.1E+03 1 2.2E+05 350418 60 SAFH 58 58 0 1 2.1E+03 1 1.3E+05 530288 61 SAFH 59 59 0 1 1.5E+03 1 4.6E+04 486688 62 SAFH 60 60 0 1 5.6E+03 1 4.4E+05 311945 63 SAFH 61 61 0 1 5.5E+03 1 2.9E+05 330064 64 SAFH 62 62 0 1 50 1 6.4E+02 623064 65 SAFH 63 63 0 1 30 1 2.2E+02 623339 66 SAFH 64 64 0 1 3.8E+03 1 4.6E+05 249314 67 SAFH 65 65 0 1 2.1E+03 1 2.3E+05 305280 68 SAFH 66 66 0 1 2.9E+03 1 2.7E+05 275385 69 SAFH 67 67 0 1 4.2E+03 1 2.2E+05 174351 70 SAFH 68 68 0 1 5.1E+03 1 2.6E+05 202423 71 SAFH 69 69 0 1 3.7E+03 1 3E+05 58864.9 72 SAFH 70 70 0 1 3E+03 1 2.1E+05 311548 73 SAFH 71 71 0 1 1.8E+03 1 1.3E+05 480840 74 SAFJL 72 72 0 1 0 0 0 614148 75 SAFG 71 71 0 0.5 4.6E+03 0 0 172735 75 FOUND SOLUTION: 172735 (NLP) in 37 sec. 76 SAFH 71 71 0 0.5 2.9E+02 1 2.4E+05 -58538.8 77 SAFH 72 72 0 0.5 4.6E+03 1 2E+05 12042.5 78 SAFH 73 73 0 0.5 3.3E+03 1 2.1E+05 76387.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFG 74 74 0 0.5 2.6E+03 0 0 169419 79 FOUND SOLUTION: 169419 (NLP) in 51 sec. 80 SAFH 74 74 0 0.5 3.6E+02 1 1.2E+05 67300.2 81 SAFG 75 75 0 0.5 2.7E+03 0 0 165640 81 FOUND SOLUTION: 165640 (NLP) in 53 sec. 82 SAFH 75 75 0 0.5 6.1E+02 1 1.4E+05 70291.8 83 SAFH 76 76 0 0.5 2.9E+03 1 1.7E+05 101314 84 SAFH 77 77 0 0.5 4.1E+03 1 2E+05 170866 85 SAFH 78 78 0 0.5 2.9E+03 1 2E+05 102954 86 SAFH 79 79 0 0.5 2.9E+03 1 1.3E+05 118976 87 SAFH 80 80 0 0.5 2.9E+03 1 1.1E+05 88201.8 88 SAFH 81 81 0 0.5 3.8E+03 1 1.6E+05 104346 89 SAFH 82 82 0 0.5 2.9E+03 1 9.6E+04 87074.1 90 SAFG 83 83 0 0.5 2.7E+03 0 0 158674 90 FOUND SOLUTION: 158674 (NLP) in 60 sec. 91 SAFH 83 83 0 0.5 3E+02 1 9.8E+04 84273.5 92 SAFH 84 84 0 0.5 2.7E+03 1 6.4E+04 111397 93 SAFH 85 85 0 0.5 3.1E+03 1 9.9E+04 100860 94 SAFH 86 86 0 0.5 3.3E+03 1 1.7E+05 126996 95 SAFH 87 87 0 0.5 3.6E+03 1 1.5E+05 107858 96 SAFH 88 88 0 0.5 3.1E+03 1 1.1E+05 123113 97 SAFH 89 89 0 0.5 2.7E+03 1 9.9E+04 112812 98 SAFH 90 90 0 0.5 3.7E+03 1 1.1E+05 111413 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 91 91 0 0.5 3.3E+03 1 9.3E+04 109885 100 SAFH 92 92 0 0.5 2.8E+03 1 8.8E+04 118922 101 SAFH 93 93 0 0.5 3.2E+03 1 1E+05 129649 102 SAFH 94 94 0 0.5 3.6E+03 1 1.4E+05 122402 103 SAFH 95 95 0 0.5 3.2E+03 1 8.6E+04 113244 104 SAFH 96 96 0 0.5 2.1E+03 1 7.7E+04 100539 105 SAFH 97 97 0 0.5 2.7E+03 1 7.5E+04 117698 106 SAFH 98 98 0 0.5 2.1E+03 1 6.9E+04 140874 107 SAFH 99 99 0 0.5 1.4E+03 1 6E+04 128436 108 SAFH 100 100 0 0.5 2.3E+03 1 8.3E+04 152504 109 SAFH 101 101 0 0.5 1.3E+03 1 7.1E+04 136719 110 SAFH 102 102 0 0.5 2.6E+03 1 6.1E+04 110569 111 SAFH 103 103 0 0.5 2.9E+03 1 7.5E+04 118353 112 SAFH 104 104 0 0.5 3E+03 1 5E+04 162903 113 SAFH 105 105 0 0.5 3.1E+03 1 6.4E+04 125433 114 SAFH 106 106 0 0.5 2.6E+03 1 6.2E+04 133191 115 SAFH 107 107 0 0.5 2.2E+03 1 7.5E+04 120321 116 SAFH 108 108 0 0.5 2.9E+03 1 9.5E+04 135430 117 SAFH 109 109 0 0.5 2.6E+03 1 6.9E+04 143424 118 SAFH 110 110 0 0.5 3.4E+03 1 1E+05 129387 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 111 111 0 0.5 2.9E+03 1 7E+04 139153 120 SAFH 112 112 0 0.5 2.6E+03 1 8.8E+04 129289 121 SAFH 113 113 0 0.5 3.1E+03 1 7E+04 130063 122 SAFH 114 114 0 0.5 2.5E+03 1 7.5E+04 130221 123 SAFH 115 115 0 0.5 2E+03 1 5.8E+04 124658 124 SAFH 116 116 0 0.5 2.6E+03 1 8.3E+04 141080 125 SAFH 117 117 0 0.5 3E+03 1 8.4E+04 122395 126 SAFH 118 118 0 0.5 3.1E+03 1 9.4E+04 177786 127 SAFH 119 119 0 0.5 2.6E+03 1 6.3E+04 118913 128 SAFH 120 120 0 0.5 2.9E+03 1 8.3E+04 140048 129 SAFH 121 121 0 0.5 3.8E+03 1 9.8E+04 147982 130 SAFH 122 122 0 0.5 2.9E+03 1 9E+04 143512 131 SAFH 123 123 0 0.5 3.5E+03 1 9.3E+04 171051 132 SAFH 124 124 0 0.5 3.2E+03 1 5.8E+04 125989 133 SAFH 125 125 0 0.5 3.5E+03 1 9.8E+04 137652 134 SAFH 126 126 0 0.5 3.2E+03 1 4.3E+04 140261 135 SAFH 127 127 0 0.5 2.4E+03 1 4.7E+04 116544 136 SAFH 128 128 0 0.5 2.2E+03 1 6.6E+04 109439 137 SAFH 129 129 0 0.5 3.1E+03 1 6.7E+04 139974 138 SAFH 130 130 0 0.5 3.4E+03 1 5.2E+04 124986 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFG 131 131 0 0.5 2.3E+03 0 0 154353 139 FOUND SOLUTION: 154353 (NLP) in 114 sec. 140 SAFH 131 131 0 0.5 4.4E+02 1 5.5E+04 121732 141 SAFH 132 132 0 0.5 2.6E+03 1 4.9E+04 123149 142 SAFH 133 133 0 0.5 2.5E+03 1 7.2E+04 145076 143 SAFG 134 134 0 0.5 2.3E+03 0 0 153369 143 FOUND SOLUTION: 153369 (NLP) in 119 sec. 144 SAFH 134 134 0 0.5 2E+02 1 4.4E+04 113791 145 SAFH 135 135 0 0.5 2.8E+03 1 6.4E+04 131941 146 SAFH 136 136 0 0.5 2.7E+03 1 6.4E+04 180166 147 SAFH 137 137 0 0.5 1.2E+03 1 6.9E+04 153845 148 SAFH 138 138 0 0.5 1.1E+03 1 5.7E+04 223202 149 SAFH 139 139 0 0.5 2.2E+03 1 5.8E+04 143715 150 SAFH 140 140 0 0.5 2.5E+03 1 7.2E+04 145764 151 SAFH 141 141 0 0.5 1.5E+03 1 4.1E+04 146299 152 SAFH 142 142 0 0.5 4.9E+02 1 3E+04 155529 153 SAFG 143 143 0 0.5 6.8E+02 0 0 149791 153 FOUND SOLUTION: 149791 (NLP) in 134 sec. 154 SAFH 143 143 0 0.5 1.8E+02 1 3.1E+04 121990 155 SAFH 144 144 0 0.5 2.6E+03 1 7.3E+04 145492 156 SAFH 145 145 0 0.5 1.2E+03 1 4.9E+04 119567 157 SAFH 146 146 0 0.5 2.5E+03 1 6E+04 141433 158 SAFH 147 147 0 0.5 3E+03 1 6.6E+04 153036 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 148 148 0 0.5 3.4E+03 1 9E+04 147223 160 SAFH 149 149 0 0.5 2.8E+03 1 6.1E+04 157565 161 SAFH 150 150 0 0.5 2.7E+03 1 8.3E+04 164606 162 SAFH 151 151 0 0.5 2.7E+03 1 6.4E+04 130622 163 SAFH 152 152 0 0.5 3E+03 1 6.9E+04 152488 164 SAFH 153 153 0 0.5 4.3E+03 1 8.1E+04 151007 165 SAFH 154 154 0 0.5 3.5E+03 1 7.4E+04 154658 166 SAFH 155 155 0 0.5 3.3E+03 1 4.9E+04 127585 167 SAFH 156 156 0 0.5 3.5E+03 1 4.5E+04 125849 168 SAFH 157 157 0 0.5 3.2E+03 1 5.4E+04 174620 169 SAFH 158 158 0 0.5 1.9E+03 1 6.5E+04 151563 170 SAFH 159 159 0 0.5 1.4E+03 1 5.8E+04 148637 171 SAFH 160 160 0 0.5 2.7E+03 1 4.8E+04 141365 172 SAFH 161 161 0 0.5 1.6E+03 1 5.6E+04 155630 173 SAFH 162 162 0 0.5 2.7E+03 1 6.6E+04 148417 174 SAFH 163 163 0 0.5 1.3E+03 1 4.7E+04 127861 175 SAFH 164 164 0 0.5 2.8E+03 1 6.6E+04 163727 176 SAFH 165 165 0 0.5 9.3E+02 1 5.8E+04 155645 177 SAFH 166 166 0 0.5 1E+03 1 4.4E+04 120014 178 SAFH 167 167 0 0.5 2.4E+03 1 4.1E+04 148871 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 168 168 0 0.5 2.9E+03 1 5.1E+04 144197 180 SAFH 169 169 0 0.5 1.1E+03 1 3E+04 145133 181 SAFH 170 170 0 0.5 2.5E+03 1 5.3E+04 157483 182 SAFH 171 171 0 0.5 1.1E+03 1 4.5E+04 151048 183 SAFH 172 172 0 0.5 2.2E+03 1 6.5E+04 150649 184 SAFH 173 173 0 0.5 3.5E+03 1 4.7E+04 133069 185 SAFH 174 174 0 0.5 3.4E+03 1 6.6E+04 138881 186 SAFH 175 175 0 0.5 3.5E+03 1 6.7E+04 141828 187 SAFH 176 176 0 0.5 2.4E+03 1 4.9E+04 133843 188 SAFH 177 177 0 0.5 3.4E+03 1 4.1E+04 139065 189 SAFH 178 178 0 0.5 2.6E+03 1 7.8E+04 154421 190 SAFH 179 179 0 0.5 9.8E+02 1 4.7E+04 135539 191 SAFG 180 180 0 0.5 2.6E+03 0 0 148633 191 FOUND SOLUTION: 148633 (NLP) in 197 sec. 192 SAFH 180 180 0 0.5 3.7E+02 1 4.8E+04 116096 193 SAFH 181 181 0 0.5 2.9E+03 1 6.2E+04 173471 194 SAFH 182 182 0 0.5 1.9E+03 1 5.8E+04 150816 195 SAFH 183 183 0 0.5 3.8E+03 1 5.5E+04 161353 196 SAFH 184 184 0 0.5 2.8E+03 1 7.2E+04 159136 197 SAFH 185 185 0 0.5 2.4E+03 1 6.4E+04 191586 198 SAFH 186 186 0 0.5 1E+03 1 5E+04 236146 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 187 187 0 0.5 4.7E+02 1 4.7E+04 275261 200 SAFH 188 188 0 0.5 2.4E+02 1 1.2E+04 280687 201 SAFH 189 189 0 0.3 1.1E+02 1 2.9E+03 283519 202 SAFH 190 190 0 0.3 57 1 7.4E+02 284934 203 SAFH 191 191 0 0.3 29 1 1.8E+02 285642 204 SAFH 192 192 0 0.3 14 1 46 285657 205 SAFH 193 193 0 0.3 7.1 1 12 285664 206 SAFH 194 194 0 0.3 3.6 1 2.9 285667 207 SAFH 195 195 0 0.3 1.8 1 0.72 285669 208 SAFH 196 196 0 0.3 0.89 1 0.18 285670 209 SAFH 197 197 0 0.3 0.45 1 0.045 285670 210 SAFH 198 198 0 0.3 0.22 1 0.011 285670 211 SAFH 199 199 0 0.3 0.11 1 0.0028 285670 212 SAFH 200 200 0 0.3 0.056 1 0.0007 285670 213 SAFH 201 201 0 0.3 0.028 1 0.00018 285670 214 SAFH 202 202 0 0.3 0.014 1 4.4E-05 285670 215 SAFH 203 203 0 0.3 0.007 1 1.1E-05 285670 216 SAFH 204 204 0 0.3 0.0035 1 2.7E-06 285670 217 SAFJ 205 205 0 0.3 0.0017 0 6.9E-07 285670 218 SAFJ 205 205 0 0.2 0 0 6.9E-07 285670 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFJ 205 205 0 0.1 0 0 6.9E-07 285670 220 AFG 205 205 0 0 3.2E+03 0 0 131166 220 FOUND SOLUTION: 131166 (NLP) in 1047 sec. 221 AFH 205 205 0 0 2.6E+02 1 3.4E+04 103279 222 AFH 206 206 0 0 1.8E+03 1 3E+04 106887 223 AFH 207 207 0 0 1.9E+03 1 4.3E+04 110750 224 AFH 208 208 0 0 1.5E+03 1 3.1E+04 110941 225 AFH 209 209 0 0 2.1E+03 1 3E+04 111888 226 AFH 210 210 0 0 2.7E+03 1 4.8E+04 112400 227 AFH 211 211 0 0 2.3E+03 1 2.7E+04 113639 228 AFG 212 212 0 0 1.8E+03 0 0 130255 228 FOUND SOLUTION: 130255 (NLP) in 4313 sec. 229 AFH 212 212 0 0 1.3E+02 1 1.9E+04 114951 230 AFH 213 213 0 0 2.3E+03 1 2.9E+04 115621 231 AFH 214 214 0 0 1.6E+03 1 1.9E+04 115626 232 AFH 215 215 0 0 2E+03 1 3.5E+04 115955 233 AFH 216 216 0 0 2.2E+03 1 3E+04 116482 234 AFH 217 217 0 0 2E+03 1 2.4E+04 117198 235 AFH 218 218 0 0 2.1E+03 1 2.3E+04 117419 236 AFH 219 219 0 0 2.2E+03 1 2.3E+04 117600 237 AFH 220 220 0 0 1.7E+03 1 2.5E+04 118109 238 AFH 221 221 0 0 1.6E+03 1 1.6E+04 119399 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 222 222 0 0 1.3E+03 1 2.2E+04 119447 240 AFH 223 223 0 0 1.6E+03 1 1.8E+04 119448 241 AFG 224 224 0 0 8.4E+02 0 0 129876 241 FOUND SOLUTION: 129876 (NLP) in 6237 sec. 242 AFH 224 224 0 0 2E+02 1 1.2E+04 119984 243 AFH 225 225 0 0 1.7E+03 1 2.2E+04 120239 244 AFH 226 226 0 0 2E+03 1 2.1E+04 120319 245 AFH 227 227 0 0 9.4E+02 1 1.8E+04 121000 246 AFH 228 228 0 0 8.8E+02 1 1.3E+04 121450 247 AFH 229 229 0 0 1.3E+03 1 1.4E+04 121471 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.59_SLay10H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 129875.72676172718639 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 129875.72676172718639 Max constraint (1) : -0 Time used (seconds) : 7202.03 Time limit (seconds) : 7200 Iterations used : 248 Iteration limit : -1 Function evaluations : 1030 Gradient evaluations : 231 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 29/248 NLP solver calls : 247 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay10H.gms(2966) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay10H.gms Stop 09/14/12 16:38:18 elapsed 2:00:02.086 @04 1347633498 ----------------------------- Fr 14. Sep 16:38:18 CEST 2012 ----------------------------- =ready= Linux opt222 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/SLay/gms/SLay10M.gms =========== ----------------------------- Fr 14. Sep 14:38:17 CEST 2012 ----------------------------- @03 1347626297 --- Job SLay10M.gms Start 09/14/12 14:38:17 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- SLay10M.gms(982) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- SLay10M.gms(980) 3 Mb --- Generating MIQCP model m --- SLay10M.gms(982) 5 Mb --- 406 rows 291 columns 1,371 non-zeroes --- 83 nl-code 20 nl-non-zeroes --- 180 discrete-columns --- SLay10M.gms(982) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.60_SLay10M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1371 elements of which 1% are non-linear(NL) included in 406 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 20 from a total of 291 variables: Continuous(111), Binary(180), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=52 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 8.1E+05 NA 1 SAFG 1 1 0 1 1E+03 0 0 348963 1 FOUND SOLUTION: 348963 (NLP) in 1 sec. 2 SAFH 1 1 0 1 5.8E+02 1 3.7E+06 -2.10718E+06 3 SAFG 2 2 0 1 9.3E+02 0 0 346219 3 FOUND SOLUTION: 346219 (NLP) in 1 sec. 4 SAFH 2 2 0 1 5.8E+02 1 1.7E+06 -993732 5 SAFG 3 3 0 1 1E+03 0 0 335592 5 FOUND SOLUTION: 335592 (NLP) in 1 sec. 6 SAFH 3 3 0 1 4.3E+02 1 1.1E+06 -431890 7 SAFG 4 4 0 1 8.7E+02 0 0 312966 7 FOUND SOLUTION: 312966 (NLP) in 1 sec. 8 SAFH 4 4 0 1 5.3E+02 1 1.2E+06 -425686 9 SAFH 5 5 0 1 7.2E+02 1 6.3E+05 -177193 10 SAFG 6 6 0 1 6.7E+02 0 0 230781 10 FOUND SOLUTION: 230781 (NLP) in 1 sec. 11 SAFH 6 6 0 1 6.3E+02 1 7.3E+05 -181686 12 SAFH 7 7 0 1 9.3E+02 1 3.5E+05 78235.4 13 SAFH 8 8 0 1 9E+02 1 7E+05 7673 14 SAFH 9 9 0 1 8.2E+02 1 2.7E+05 45350.5 15 SAFH 10 10 0 1 6.6E+02 1 2.7E+05 156190 16 SAFH 11 11 0 1 5.6E+02 1 1.9E+05 238170 17 SAFH 12 12 0 1 3.7E+02 1 9.7E+04 361453 18 SAFH 13 13 0 1 2.4E+02 1 4.6E+04 374976 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 14 14 0 1 1.9E+02 1 2.7E+04 380121 20 SAFH 15 15 0 1 5.9E+02 1 2.5E+05 221891 21 SAFH 16 16 0 1 3.9E+02 1 2.6E+04 387078 22 SAFH 17 17 0 1 1.5E+02 1 1.5E+04 393616 23 SAFH 18 18 0 1 1.2E+02 1 1.6E+04 395168 24 SAFH 19 19 0 1 1.2E+02 1 7.5E+03 398376 25 SAFH 20 20 0 1 1.2E+02 1 6.8E+03 401269 26 SAFH 21 21 0 1 52 1 3.3E+03 401454 27 SAFH 22 22 0 1 67 1 2.9E+03 402525 28 SAFH 23 23 0 1 40 1 1.3E+03 403233 29 SAFH 24 24 0 1 81 1 3.2E+03 403247 30 SAFH 25 25 0 1 59 1 1.8E+03 403416 31 SAFH 26 26 0 1 41 1 1.1E+03 403569 32 SAFH 27 27 0 1 40 1 8E+02 403730 33 SAFH 28 28 0 1 41 1 9.7E+02 403775 34 SAFH 29 29 0 1 42 1 6.7E+02 403850 35 SAFH 30 30 0 1 30 1 4.2E+02 403867 36 SAFH 31 31 0 1 38 1 5.6E+02 404037 37 SAFH 32 32 0 1 25 1 2.9E+02 404058 38 SAFH 33 33 0 1 6.5E+02 1 2.3E+05 605635 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 34 34 0 1 5.1E+02 1 1.9E+05 474151 40 SAFH 35 35 0 1 6.9E+02 1 1.9E+05 442270 41 SAFH 36 36 0 1 6.6E+02 1 4.5E+04 488335 42 SAFH 37 37 0 1 4.2E+02 1 2.1E+04 406536 43 SAFH 38 38 0 1 1.7E+02 1 1.8E+04 423304 44 SAFH 39 39 0 1 86 1 7.2E+03 424698 45 SAFH 40 40 0 1 89 1 6.1E+03 425063 46 SAFH 41 41 0 1 65 1 2.6E+03 425481 47 SAFH 42 42 0 1 68 1 2.7E+03 426163 48 SAFH 43 43 0 1 29 1 1E+03 426270 49 SAFH 44 44 0 1 47 1 7.7E+02 426596 50 SAFH 45 45 0 1 48 1 1.1E+03 426867 51 SAFH 46 46 0 1 28 1 4.1E+02 426886 52 SAFH 47 47 0 1 18 1 2.9E+02 426919 53 SAFH 48 48 0 1 25 1 3.7E+02 426943 54 SAFH 49 49 0 1 25 1 2.2E+02 426951 55 SAFH 50 50 0 1 18 1 1.4E+02 427035 56 SAFH 51 51 0 1 16 1 1.3E+02 427069 57 SAFH 52 52 0 1 12 1 92 427070 58 SAFH 53 53 0 1 11 1 64 427071 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 54 54 0 1 6.4 1 63 427097 60 SAFH 55 55 0 1 7.5 1 39 427104 61 SAFH 56 56 0 1 6.3 1 30 427110 62 SAFH 57 57 0 1 7.8 1 26 427111 63 SAFH 58 58 0 1 6.7 1 18 427116 64 SAFH 59 59 0 1 4.7 1 12 427117 65 SAFH 60 60 0 1 4.1 1 12 427122 66 SAFH 61 61 0 1 3.7 1 7.4 427123 67 SAFH 62 62 0 1 3.5 1 5.7 427123 68 SAFH 63 63 0 1 3.4 1 5 427124 69 SAFH 64 64 0 1 2.6 1 3.5 427125 70 SAFH 65 65 0 1 2.2 1 2.3 427125 71 SAFH 66 66 0 1 2.2 1 2.4 427126 72 SAFH 67 67 0 1 1.5 1 1.8 427126 73 SAFH 68 68 0 1 1.5 1 0.99 427126 74 SAFH 69 69 0 1 1.3 1 0.93 427127 75 SAFH 70 70 0 1 1.4 1 1.1 427127 76 SAFH 71 71 0 1 1.1 1 0.47 427127 77 SAFH 72 72 0 1 1.2 1 0.67 427127 78 SAFH 73 73 0 1 0.99 1 0.36 427127 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 74 74 0 1 0.86 1 0.34 427127 80 SAFH 75 75 0 1 0.68 1 0.21 427127 81 SAFH 76 76 0 1 0.55 1 0.15 427127 82 SAFH 77 77 0 1 0.66 1 0.15 427127 83 SAFH 78 78 0 1 0.51 1 0.1 427127 84 SAFH 79 79 0 1 0.43 1 0.065 427127 85 SAFH 80 80 0 1 0.4 1 0.078 427127 86 SAFH 81 81 0 1 0.26 1 0.046 427127 87 SAFH 82 82 0 1 0.24 1 0.033 427127 88 SAFH 83 83 0 1 0.31 1 0.033 427127 89 SAFH 84 84 0 1 0.18 1 0.018 427127 90 SAFH 85 85 0 1 0.18 1 0.017 427127 91 SAFH 86 86 0 1 0.19 1 0.013 427127 92 SAFH 87 87 0 1 0.12 1 0.0091 427127 93 SAFH 88 88 0 1 0.14 1 0.0065 427127 94 SAFH 89 89 0 1 0.11 1 0.0064 427127 95 SAFH 90 90 0 1 0.076 1 0.0036 427127 96 SAFH 91 91 0 1 0.092 1 0.0034 427127 97 SAFH 92 92 0 1 0.069 1 0.0025 427127 98 SAFH 93 93 0 1 0.05 1 0.0018 427127 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 94 94 0 1 0.045 1 0.0013 427127 100 SAFH 95 95 0 1 0.049 1 0.0014 427127 101 SAFH 96 96 0 1 0.034 1 0.0007 427127 102 SAFH 97 97 0 1 0.033 1 0.00079 427127 103 SAFH 98 98 0 1 0.024 1 0.00056 427127 104 SAFH 99 99 0 1 0.023 1 0.00034 427127 105 SAFH 100 100 0 1 0.029 1 0.00034 427127 106 SAFH 101 101 0 1 0.021 1 0.00022 427127 107 SAFH 102 102 0 1 0.017 1 0.00026 427127 108 SAFH 103 103 0 1 0.015 1 0.00012 427127 109 SAFH 104 104 0 1 0.015 1 0.00013 427127 110 SAFH 105 105 0 1 0.022 1 0.00021 427127 111 SAFH 106 106 0 1 0.016 1 0.0001 427127 112 SAFH 107 107 0 1 0.011 1 7.3E-05 427127 113 SAFH 108 108 0 1 0.011 1 4.5E-05 427127 114 SAFH 109 109 0 1 0.011 1 6.2E-05 427127 115 SAFH 110 110 0 1 0.0094 1 4.2E-05 427127 116 SAFH 111 111 0 1 0.007 1 2.3E-05 427127 117 SAFH 112 112 0 1 0.0081 1 3.7E-05 427127 118 SAFH 113 113 0 1 0.0045 1 1.6E-05 427127 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 114 114 0 1 0.0078 1 2.5E-05 427127 120 SAFH 115 115 0 1 0.0043 1 1.4E-05 427127 121 SAFH 116 116 0 1 0.0036 1 8.8E-06 427127 122 SAFH 117 117 0 1 0.0034 1 6.4E-06 427127 123 SAFH 118 118 0 1 0.0027 1 6.5E-06 427127 124 SAFH 119 119 0 1 0.0029 1 3.7E-06 427127 125 SAFH 120 120 0 1 0.0028 1 3.2E-06 427127 126 SAFH 121 121 0 1 0.0023 1 2.7E-06 427127 127 SAFH 122 122 0 1 0.0016 1 1.7E-06 427127 128 SAFH 123 123 0 1 0.0014 1 1.3E-06 427127 129 SAFH 124 124 0 1 0.0012 1 1.3E-06 427127 130 SAFJL 125 125 0 1 0.0013 0 7.4E-07 427127 131 SAFH 124 124 0 0.5 9.2E+02 1 6.3E+05 -145839 132 SAFG 125 125 0 0.5 8.7E+02 0 0 222415 132 FOUND SOLUTION: 222415 (NLP) in 8 sec. 133 SAFH 125 125 0 0.5 1.3E+02 1 3.2E+05 -79600.9 134 SAFG 126 126 0 0.5 6.6E+02 0 0 202429 134 FOUND SOLUTION: 202429 (NLP) in 10 sec. 135 SAFH 126 126 0 0.5 2E+02 1 2.5E+05 -8576.34 136 SAFG 127 127 0 0.5 5.1E+02 0 0 165041 136 FOUND SOLUTION: 165041 (NLP) in 12 sec. 137 SAFH 127 127 0 0.5 2E+02 1 1.9E+05 19877.6 138 SAFH 128 128 0 0.5 4.8E+02 1 1.8E+05 35385.2 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 129 129 0 0.5 6.1E+02 1 2.1E+05 65142.9 140 SAFH 130 130 0 0.5 4.9E+02 1 1.5E+05 58664 141 SAFH 131 131 0 0.5 5.1E+02 1 1.5E+05 120188 142 SAFH 132 132 0 0.5 7E+02 1 1.2E+05 75507.7 143 SAFG 133 133 0 0.5 3.9E+02 0 0 159694 143 FOUND SOLUTION: 159694 (NLP) in 22 sec. 144 SAFH 133 133 0 0.5 1.6E+02 1 8E+04 93585.3 145 SAFH 134 134 0 0.5 5.1E+02 1 1.2E+05 82057.6 146 SAFG 135 135 0 0.5 3.4E+02 0 0 158485 146 FOUND SOLUTION: 158485 (NLP) in 24 sec. 147 SAFH 135 135 0 0.5 1.5E+02 1 1.3E+05 98311.6 148 SAFH 136 136 0 0.5 5.5E+02 1 1.8E+05 84785.9 149 SAFH 137 137 0 0.5 5E+02 1 1.2E+05 76253.8 150 SAFG 138 138 0 0.5 3.9E+02 0 0 156727 150 FOUND SOLUTION: 156727 (NLP) in 25 sec. 151 SAFH 138 138 0 0.5 72 1 8.3E+04 84500.3 152 SAFH 139 139 0 0.5 4.8E+02 1 9E+04 131397 153 SAFH 140 140 0 0.5 4.2E+02 1 1.1E+05 187504 154 SAFH 141 141 0 0.5 6.2E+02 1 1.3E+05 138241 155 SAFH 142 142 0 0.5 6E+02 1 9.6E+04 124681 156 SAFH 143 143 0 0.5 2.7E+02 1 6.7E+04 151857 157 SAFH 144 144 0 0.5 3.9E+02 1 8.4E+04 132922 158 SAFH 145 145 0 0.5 5.7E+02 1 9.3E+04 171533 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 146 146 0 0.5 4.6E+02 1 7.2E+04 155368 160 SAFH 147 147 0 0.5 4.3E+02 1 9E+04 116653 161 SAFH 148 148 0 0.5 4.6E+02 1 6.9E+04 102588 162 SAFH 149 149 0 0.5 3.9E+02 1 5.7E+04 114173 163 SAFH 150 150 0 0.5 3.9E+02 1 5.4E+04 111008 164 SAFH 151 151 0 0.5 4.1E+02 1 7.8E+04 130298 165 SAFH 152 152 0 0.5 1.5E+02 1 5.2E+04 150778 166 SAFH 153 153 0 0.5 2E+02 1 3.7E+04 162233 167 SAFG 154 154 0 0.5 3.3E+02 0 0 154379 167 FOUND SOLUTION: 154379 (NLP) in 34 sec. 168 SAFH 154 154 0 0.5 1.5E+02 1 5.8E+04 120048 169 SAFH 155 155 0 0.5 3.3E+02 1 4.6E+04 134528 170 SAFH 156 156 0 0.5 3.5E+02 1 3.2E+04 129867 171 SAFH 157 157 0 0.5 3.6E+02 1 5.1E+04 142649 172 SAFH 158 158 0 0.5 3.9E+02 1 4E+04 133175 173 SAFH 159 159 0 0.5 4E+02 1 4.7E+04 150554 174 SAFH 160 160 0 0.5 1.4E+02 1 2.4E+04 152697 175 SAFH 161 161 0 0.5 1.6E+02 1 2.1E+04 166059 176 SAFH 162 162 0 0.5 2E+02 1 2.2E+04 146523 177 SAFH 163 163 0 0.5 2.2E+02 1 2.5E+04 151098 178 SAFH 164 164 0 0.5 1.5E+02 1 1.3E+04 152157 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 165 165 0 0.5 1.2E+02 1 1.6E+04 143631 180 SAFG 166 166 0 0.5 2.8E+02 0 0 150042 180 FOUND SOLUTION: 150042 (NLP) in 44 sec. 181 SAFH 166 166 0 0.5 1.2E+02 1 4E+04 119865 182 SAFH 167 167 0 0.5 5.6E+02 1 3.6E+04 148407 183 SAFH 168 168 0 0.5 2.4E+02 1 3.5E+04 148068 184 SAFH 169 169 0 0.5 4.7E+02 1 9.6E+04 147514 185 SAFH 170 170 0 0.5 3.5E+02 1 4.9E+04 146319 186 SAFH 171 171 0 0.5 3E+02 1 3.9E+04 187055 187 SAFG 172 172 0 0.5 4.5E+02 0 0 143641 187 FOUND SOLUTION: 143641 (NLP) in 51 sec. 188 SAFH 172 172 0 0.5 69 1 4.2E+04 107804 189 SAFH 173 173 0 0.5 4.4E+02 1 5.3E+04 136087 190 SAFH 174 174 0 0.5 3.5E+02 1 4.6E+04 128333 191 SAFH 175 175 0 0.5 3.6E+02 1 5.1E+04 153223 192 SAFH 176 176 0 0.5 2.5E+02 1 5.2E+04 107854 193 SAFH 177 177 0 0.5 4E+02 1 5E+04 126573 194 SAFH 178 178 0 0.5 4.8E+02 1 6.7E+04 151944 195 SAFH 179 179 0 0.5 4.7E+02 1 5.7E+04 141482 196 SAFH 180 180 0 0.5 5E+02 1 3.7E+04 178296 197 SAFH 181 181 0 0.5 1.2E+02 1 4.3E+04 186891 198 SAFH 182 182 0 0.5 4.5E+02 1 5.9E+04 155678 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 183 183 0 0.5 4.1E+02 1 2.3E+04 171386 200 SAFH 184 184 0 0.5 2.9E+02 1 4.5E+04 125265 201 SAFH 185 185 0 0.3 2.6E+02 1 2.1E+04 156082 202 SAFH 186 186 0 0.3 2.6E+02 1 3E+04 144375 203 SAFH 187 187 0 0.3 2.1E+02 1 2.2E+04 151884 204 SAFH 188 188 0 0.3 1.9E+02 1 1.7E+04 158045 205 SAFH 189 189 0 0.3 2.6E+02 1 2.4E+04 132655 206 SAFH 190 190 0 0.3 2.3E+02 1 3.4E+04 130525 207 SAFG 191 191 0 0.3 3.3E+02 0 0 137809 207 FOUND SOLUTION: 137809 (NLP) in 71 sec. 208 SAFH 191 191 0 0.3 47 1 3.1E+04 111310 209 SAFH 192 192 0 0.3 3.7E+02 1 3.4E+04 151322 210 SAFH 193 193 0 0.3 3E+02 1 4.4E+04 141727 211 SAFH 194 194 0 0.3 3.2E+02 1 2.4E+04 124285 212 SAFH 195 195 0 0.3 2.9E+02 1 3.9E+04 131372 213 SAFH 196 196 0 0.3 3.9E+02 1 2.2E+04 163311 214 SAFH 197 197 0 0.3 4.1E+02 1 5E+04 167715 215 SAFH 198 198 0 0.3 4.1E+02 1 3.2E+04 168064 216 SAFH 199 199 0 0.3 1.4E+02 1 2.9E+04 171256 217 SAFH 200 200 0 0.3 4.7E+02 1 2.6E+04 180721 218 SAFH 201 201 0 0.3 1.2E+02 1 1.5E+04 189233 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 202 202 0 0.3 70 1 1.2E+04 193931 220 SAFH 203 203 0 0.3 41 1 5.9E+03 195260 221 SAFH 204 204 0 0.3 91 1 8.6E+03 197584 222 SAFH 205 205 0 0.3 41 1 5.4E+03 197632 223 SAFH 206 206 0 0.3 42 1 2.6E+03 198277 224 SAFH 207 207 0 0.3 43 1 2.7E+03 198569 225 SAFH 208 208 0 0.3 31 1 1.5E+03 198972 226 SAFH 209 209 0 0.3 3.8E+02 1 4.6E+04 159447 227 SAFH 210 210 0 0.3 3.6E+02 1 2E+04 167155 228 SAFH 211 211 0 0.3 99 1 9.6E+03 176355 229 SAFH 212 212 0 0.3 47 1 7.3E+03 179825 230 SAFH 213 213 0 0.3 46 1 8.8E+03 180443 231 SAFH 214 214 0 0.3 17 1 3.3E+03 180516 232 SAFH 215 215 0 0.3 26 1 7.5E+03 180626 233 SAFH 216 216 0 0.3 45 1 3.3E+03 181149 234 SAFH 217 217 0 0.3 38 1 2.3E+03 182060 235 SAFH 218 218 0 0.3 15 1 1.3E+03 182219 236 SAFH 219 219 0 0.3 51 1 1.7E+03 182361 237 SAFH 220 220 0 0.3 41 1 1.3E+03 182557 238 SAFH 221 221 0 0.3 29 1 1.1E+03 182648 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 222 222 0 0.3 20 1 6.4E+02 182713 240 SAFH 223 223 0 0.3 30 1 8.8E+02 182803 241 SAFH 224 224 0 0.3 22 1 5.5E+02 182906 242 SAFH 225 225 0 0.3 21 1 5.2E+02 182977 243 SAFH 226 226 0 0.3 16 1 3.5E+02 182984 244 SAFH 227 227 0 0.3 19 1 4E+02 182988 245 SAFH 228 228 0 0.3 12 1 2.2E+02 183045 246 SAFH 229 229 0 0.3 14 1 2.3E+02 183103 247 SAFH 230 230 0 0.3 19 1 2.6E+02 183111 248 SAFH 231 231 0 0.3 13 1 1.3E+02 183117 249 SAFH 232 232 0 0.3 11 1 1.5E+02 183153 250 SAFH 233 233 0 0.3 14 1 1.6E+02 183163 251 SAFH 234 234 0 0.3 7.8 1 78 183167 252 SAFH 235 235 0 0.3 5.1E+02 1 5.8E+04 119079 253 SAFH 236 236 0 0.3 3.3E+02 1 3.1E+04 118994 254 SAFH 237 237 0 0.3 4E+02 1 5E+04 128871 255 SAFH 238 238 0 0.3 3.9E+02 1 4E+04 116796 256 SAFH 239 239 0 0.3 4.7E+02 1 6.1E+04 124027 257 SAFH 240 240 0 0.3 4.4E+02 1 4.4E+04 125363 258 SAFG 241 241 0 0.3 3.6E+02 0 0 136555 258 FOUND SOLUTION: 136555 (NLP) in 206 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 241 241 0 0.3 1.2E+02 1 3.8E+04 117844 260 SAFH 242 242 0 0.3 2.8E+02 1 3.6E+04 120897 261 SAFH 243 243 0 0.3 3.5E+02 1 3.6E+04 125363 262 SAFH 244 244 0 0.3 4.4E+02 1 5.2E+04 112031 263 SAFH 245 245 0 0.3 3.9E+02 1 3.6E+04 126350 264 SAFH 246 246 0 0.3 3.7E+02 1 4.6E+04 115865 265 SAFH 247 247 0 0.3 4.1E+02 1 3.1E+04 129358 266 SAFH 248 248 0 0.3 3.8E+02 1 3.4E+04 137345 267 SAFH 249 249 0 0.3 3.5E+02 1 3.7E+04 131838 268 SAFH 250 250 0 0.3 3.6E+02 1 4.3E+04 132072 269 SAFH 251 251 0 0.3 3.2E+02 1 3E+04 120374 270 SAFH 252 252 0 0.3 3.3E+02 1 3.2E+04 142629 271 SAFH 253 253 0 0.3 3.2E+02 1 3.1E+04 123731 272 SAFH 254 254 0 0.3 3.4E+02 1 2.5E+04 133184 273 SAFH 255 255 0 0.3 3.8E+02 1 3.8E+04 127739 274 SAFH 256 256 0 0.3 4.9E+02 1 3.8E+04 131452 275 SAFH 257 257 0 0.3 4.4E+02 1 2.8E+04 130650 276 SAFH 258 258 0 0.3 3.3E+02 1 4.1E+04 124463 277 SAFH 259 259 0 0.3 3.5E+02 1 3.1E+04 129312 278 SAFH 260 260 0 0.3 2.3E+02 1 2.3E+04 128589 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 261 261 0 0.3 3.1E+02 1 2.7E+04 124709 280 SAFH 262 262 0 0.3 4.5E+02 1 2.8E+04 160721 281 SAFH 263 263 0 0.3 1.7E+02 1 2.1E+04 156754 282 SAFH 264 264 0 0.3 3.5E+02 1 2.4E+04 134618 283 SAFH 265 265 0 0.3 2E+02 1 1.6E+04 175892 284 SAFH 266 266 0 0.3 3.7E+02 1 3.9E+04 139859 285 SAFH 267 267 0 0.3 3.5E+02 1 2.5E+04 141257 286 SAFH 268 268 0 0.3 3.2E+02 1 2.9E+04 130683 287 SAFH 269 269 0 0.3 3.7E+02 1 3.8E+04 135917 288 SAFH 270 270 0 0.3 3.3E+02 1 3.5E+04 138155 289 SAFH 271 271 0 0.3 3E+02 1 3.1E+04 134219 290 SAFH 272 272 0 0.3 3.7E+02 1 2.5E+04 124485 291 SAFH 273 273 0 0.3 2.3E+02 1 2.6E+04 126269 292 SAFH 274 274 0 0.3 3.6E+02 1 3E+04 141057 293 SAFH 275 275 0 0.3 3E+02 1 3.2E+04 132033 294 SAFH 276 276 0 0.3 3.8E+02 1 2.9E+04 145122 295 SAFH 277 277 0 0.3 2.6E+02 1 3.1E+04 128889 296 SAFH 278 278 0 0.3 3.7E+02 1 3E+04 130849 297 SAFH 279 279 0 0.3 4.8E+02 1 4E+04 131427 298 SAFH 280 280 0 0.3 3.6E+02 1 3.3E+04 137510 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 281 281 0 0.3 3.8E+02 1 2.2E+04 122389 300 SAFH 282 282 0 0.3 3.1E+02 1 2.8E+04 130351 301 SAFH 283 283 0 0.3 2.5E+02 1 2.5E+04 130514 302 SAFH 284 284 0 0.3 2.7E+02 1 2.6E+04 125902 303 SAFH 285 285 0 0.3 2.1E+02 1 2.1E+04 128046 304 SAFH 286 286 0 0.3 2.5E+02 1 2.7E+04 136219 305 SAFH 287 287 0 0.3 3.7E+02 1 3.6E+04 133888 306 SAFH 288 288 0 0.3 4.7E+02 1 5.6E+04 135106 307 SAFH 289 289 0 0.3 5E+02 1 3.8E+04 124338 308 SAFH 290 290 0 0.3 3.6E+02 1 2.9E+04 128519 309 SAFH 291 291 0 0.3 3.2E+02 1 2.4E+04 127841 310 SAFH 292 292 0 0.3 3.1E+02 1 2.3E+04 148532 311 SAFH 293 293 0 0.3 4.4E+02 1 4.4E+04 137571 312 SAFH 294 294 0 0.3 3.3E+02 1 4.1E+04 137941 313 SAFH 295 295 0 0.3 4.1E+02 1 3.8E+04 133571 314 SAFH 296 296 0 0.3 3.7E+02 1 5E+04 136878 315 SAFH 297 297 0 0.3 3.9E+02 1 3.1E+04 138501 316 SAFH 298 298 0 0.3 4.8E+02 1 4.8E+04 135199 317 SAFH 299 299 0 0.3 4E+02 1 3.2E+04 117912 318 SAFH 300 300 0 0.3 3.4E+02 1 2.8E+04 133285 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 301 301 0 0.3 2.5E+02 1 2.3E+04 120708 320 SAFH 302 302 0 0.3 3.7E+02 1 3.1E+04 132768 321 SAFH 303 303 0 0.3 2.9E+02 1 2.3E+04 129581 322 SAFH 304 304 0 0.3 3.5E+02 1 3.5E+04 136239 323 SAFH 305 305 0 0.3 3.5E+02 1 3.9E+04 131078 324 SAFH 306 306 0 0.3 4.2E+02 1 3.2E+04 130363 325 SAFH 307 307 0 0.3 3.2E+02 1 3.5E+04 139073 326 SAFH 308 308 0 0.3 3.1E+02 1 2.5E+04 133494 327 SAFH 309 309 0 0.3 3.1E+02 1 3.6E+04 138399 328 SAFH 310 310 0 0.3 3E+02 1 1.9E+04 130074 329 SAFH 311 311 0 0.3 3.4E+02 1 2.9E+04 132075 330 SAFH 312 312 0 0.3 3.3E+02 1 3.3E+04 134245 331 SAFH 313 313 0 0.3 2.4E+02 1 2.9E+04 132818 332 SAFH 314 314 0 0.3 1.6E+02 1 1.8E+04 136581 333 SAFH 315 315 0 0.3 4E+02 1 3.5E+04 129288 334 SAFH 316 316 0 0.3 4.9E+02 1 2.2E+04 136313 335 SAFH 317 317 0 0.3 3.9E+02 1 2.2E+04 142292 336 SAFH 318 318 0 0.3 3.3E+02 1 2.2E+04 133724 337 SAFH 319 319 0 0.3 3.3E+02 1 2.6E+04 129583 338 SAFH 320 320 0 0.3 3.3E+02 1 2.2E+04 126744 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 321 321 0 0.3 3E+02 1 2.1E+04 137554 340 SAFH 322 322 0 0.3 2.9E+02 1 2.3E+04 137261 341 SAFH 323 323 0 0.3 4.5E+02 1 3.4E+04 128359 342 SAFH 324 324 0 0.3 4.3E+02 1 2E+04 135311 343 SAFH 325 325 0 0.3 4.5E+02 1 3.5E+04 143689 344 SAFH 326 326 0 0.3 3E+02 1 2.1E+04 127389 345 SAFH 327 327 0 0.3 1.1E+02 1 2E+04 126901 346 SAFH 328 328 0 0.3 3.7E+02 1 2.9E+04 133333 347 SAFH 329 329 0 0.3 4.2E+02 1 2.3E+04 135601 348 SAFH 330 330 0 0.3 3E+02 1 2.1E+04 126216 349 SAFH 331 331 0 0.3 2.1E+02 1 1.6E+04 124077 350 SAFH 332 332 0 0.3 2.7E+02 1 2.7E+04 143736 351 SAFH 333 333 0 0.3 2.7E+02 1 1.6E+04 126870 352 SAFH 334 334 0 0.3 3.7E+02 1 3.3E+04 139866 353 SAFH 335 335 0 0.3 2.3E+02 1 2.6E+04 151659 354 SAFH 336 336 0 0.3 4.1E+02 1 3.1E+04 132541 355 SAFG 337 337 0 0.3 2.6E+02 0 0 130449 355 FOUND SOLUTION: 130449 (NLP) in 415 sec. 356 SAFH 337 337 0 0.3 47 1 1.8E+04 115113 357 SAFH 338 338 0 0.3 4.1E+02 1 3.5E+04 146832 358 SAFH 339 339 0 0.3 4E+02 1 3E+04 141883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 340 340 0 0.3 4.6E+02 1 2.9E+04 141517 360 SAFH 341 341 0 0.3 3.6E+02 1 1.9E+04 131658 361 SAFH 342 342 0 0.3 3.4E+02 1 3.8E+04 144657 362 SAFH 343 343 0 0.3 2.4E+02 1 2.9E+04 139841 363 SAFH 344 344 0 0.3 3.7E+02 1 2.7E+04 143220 364 SAFH 345 345 0 0.3 2.9E+02 1 2.4E+04 152323 365 SAFH 346 346 0 0.3 3.6E+02 1 3.2E+04 150841 366 SAFH 347 347 0 0.3 3E+02 1 3.3E+04 142705 367 SAFH 348 348 0 0.3 4E+02 1 2.8E+04 142808 368 SAFH 349 349 0 0.3 4E+02 1 1.9E+04 123337 369 SAFH 350 350 0 0.3 2.4E+02 1 2.3E+04 135303 370 SAFH 351 351 0 0.3 4.3E+02 1 3.8E+04 163480 371 SAFH 352 352 0 0.3 4.2E+02 1 3.4E+04 139017 372 SAFH 353 353 0 0.3 2.7E+02 1 2E+04 136703 373 SAFH 354 354 0 0.3 2.5E+02 1 2.3E+04 138397 374 SAFH 355 355 0 0.3 4E+02 1 4.4E+04 142594 375 SAFH 356 356 0 0.3 2.4E+02 1 2.9E+04 138669 376 SAFH 357 357 0 0.3 2.2E+02 1 3.2E+04 142208 377 SAFH 358 358 0 0.3 3.5E+02 1 3.1E+04 142586 378 SAFH 359 359 0 0.3 3E+02 1 2.9E+04 145540 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 360 360 0 0.3 2.1E+02 1 2.6E+04 144584 380 SAFH 361 361 0 0.3 3.8E+02 1 1.9E+04 135730 381 SAFH 362 362 0 0.3 4E+02 1 3.5E+04 147419 382 SAFH 363 363 0 0.3 3.8E+02 1 2.9E+04 145099 383 SAFH 364 364 0 0.3 3.9E+02 1 3.1E+04 142202 384 SAFH 365 365 0 0.3 3.9E+02 1 3.3E+04 145885 385 SAFH 366 366 0 0.3 3.8E+02 1 3.9E+04 143335 386 SAFH 367 367 0 0.3 3.5E+02 1 2.5E+04 129373 387 SAFH 368 368 0 0.3 3.6E+02 1 3E+04 135900 388 SAFH 369 369 0 0.3 4.2E+02 1 2.4E+04 138558 389 SAFH 370 370 0 0.3 3.9E+02 1 2.6E+04 141742 390 SAFH 371 371 0 0.3 2.6E+02 1 2.4E+04 141924 391 SAFH 372 372 0 0.3 1.1E+02 1 2E+04 141799 392 SAFH 373 373 0 0.3 3.5E+02 1 3.1E+04 138591 393 SAFH 374 374 0 0.3 4.7E+02 1 2.3E+04 142603 394 SAFH 375 375 0 0.3 3.5E+02 1 4E+04 150975 395 SAFH 376 376 0 0.3 3.9E+02 1 3E+04 151462 396 SAFH 377 377 0 0.3 4E+02 1 2.8E+04 152191 397 SAFH 378 378 0 0.3 3.3E+02 1 3.2E+04 142470 398 SAFH 379 379 0 0.3 2.4E+02 1 3.3E+04 144612 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 380 380 0 0.3 3.9E+02 1 2.1E+04 141831 400 SAFH 381 381 0 0.3 2.4E+02 1 2.7E+04 144056 401 SAFH 382 382 0 0.2 3.1E+02 1 2.3E+04 129500 402 SAFH 383 383 0 0.2 3.3E+02 1 1.5E+04 139185 403 SAFH 384 384 0 0.2 3.7E+02 1 2.2E+04 126716 404 SAFH 385 385 0 0.2 2.3E+02 1 1.6E+04 125077 405 SAFH 386 386 0 0.2 2.9E+02 1 2.3E+04 133278 406 SAFH 387 387 0 0.2 3.3E+02 1 2.1E+04 128651 407 SAFH 388 388 0 0.2 2.2E+02 1 1.6E+04 132449 408 SAFH 389 389 0 0.2 2.4E+02 1 1.4E+04 142427 409 SAFH 390 390 0 0.2 2E+02 1 1.5E+04 146333 410 SAFH 391 391 0 0.2 1.6E+02 1 1.4E+04 144574 411 SAFH 392 392 0 0.2 2.9E+02 1 1.6E+04 136831 412 SAFH 393 393 0 0.2 2.4E+02 1 1.8E+04 144713 413 SAFH 394 394 0 0.2 4E+02 1 1.9E+04 132655 414 SAFH 395 395 0 0.2 2.9E+02 1 2E+04 126739 415 SAFH 396 396 0 0.2 3.3E+02 1 2.3E+04 133900 416 SAFH 397 397 0 0.2 3.2E+02 1 1.5E+04 132352 417 SAFH 398 398 0 0.2 1.5E+02 1 1.5E+04 137907 418 SAFH 399 399 0 0.2 3.4E+02 1 1.4E+04 128564 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 400 400 0 0.2 2.1E+02 1 1.2E+04 125095 420 SAFH 401 401 0 0.2 2.4E+02 1 1.8E+04 124224 421 SAFH 402 402 0 0.2 3E+02 1 1.8E+04 129270 422 SAFH 403 403 0 0.2 3.7E+02 1 1.6E+04 126283 423 SAFH 404 404 0 0.2 3.5E+02 1 2E+04 127854 424 SAFH 405 405 0 0.2 2.9E+02 1 2E+04 130819 425 SAFH 406 406 0 0.2 3.2E+02 1 1.2E+04 136493 426 SAFH 407 407 0 0.2 2.3E+02 1 1.9E+04 139403 427 SAFH 408 408 0 0.2 3.3E+02 1 1.4E+04 124462 428 SAFH 409 409 0 0.2 3.2E+02 1 1.5E+04 125870 429 SAFH 410 410 0 0.2 2.5E+02 1 1.1E+04 128243 430 SAFH 411 411 0 0.2 2.2E+02 1 1.5E+04 130529 431 SAFH 412 412 0 0.2 2.5E+02 1 1.6E+04 128841 432 SAFH 413 413 0 0.2 3E+02 1 2.3E+04 131713 433 SAFH 414 414 0 0.2 3E+02 1 1.9E+04 131339 434 SAFH 415 415 0 0.2 2.7E+02 1 1.4E+04 124958 435 SAFH 416 416 0 0.2 3.4E+02 1 1.8E+04 130343 436 SAFH 417 417 0 0.2 2.3E+02 1 1.1E+04 132388 437 SAFH 418 418 0 0.2 2.7E+02 1 1.3E+04 139930 438 SAFH 419 419 0 0.2 2.9E+02 1 1.2E+04 126132 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 420 420 0 0.2 2.7E+02 1 2.2E+04 130723 440 SAFH 421 421 0 0.2 3.5E+02 1 2E+04 128552 441 SAFH 422 422 0 0.2 2.7E+02 1 1.3E+04 124116 442 SAFH 423 423 0 0.2 2.6E+02 1 1.3E+04 128238 443 SAFH 424 424 0 0.2 1.8E+02 1 9.8E+03 126984 444 SAFH 425 425 0 0.2 2.1E+02 1 1.3E+04 127570 445 SAFH 426 426 0 0.2 2.7E+02 1 1.6E+04 132428 446 SAFH 427 427 0 0.2 2.8E+02 1 1.8E+04 129741 447 SAFH 428 428 0 0.2 2.3E+02 1 9.2E+03 130963 448 SAFH 429 429 0 0.2 2.8E+02 1 1.7E+04 139527 449 SAFH 430 430 0 0.2 1.9E+02 1 1.4E+04 131443 450 SAFH 431 431 0 0.2 2E+02 1 1.4E+04 124734 451 SAFH 432 432 0 0.2 2.6E+02 1 1.7E+04 128590 452 SAFH 433 433 0 0.2 3E+02 1 2E+04 137749 453 SAFH 434 434 0 0.2 2.9E+02 1 8.4E+03 133049 454 SAFH 435 435 0 0.2 3E+02 1 2.2E+04 141824 455 SAFH 436 436 0 0.2 2.4E+02 1 2.1E+04 147479 456 SAFH 437 437 0 0.2 3.4E+02 1 1.6E+04 130295 457 SAFH 438 438 0 0.2 3.8E+02 1 1.6E+04 130686 458 SAFH 439 439 0 0.2 3.7E+02 1 2.1E+04 139875 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 440 440 0 0.2 3.6E+02 1 1.6E+04 139508 460 SAFH 441 441 0 0.2 4.7E+02 1 2.1E+04 134906 461 SAFH 442 442 0 0.2 3.5E+02 1 1.9E+04 126534 462 SAFH 443 443 0 0.2 2.7E+02 1 1.2E+04 135842 463 SAFH 444 444 0 0.2 4.2E+02 1 1.9E+04 150314 464 SAFH 445 445 0 0.2 1.3E+02 1 2.1E+04 152798 465 SAFH 446 446 0 0.2 4.5E+02 1 2.3E+04 132392 466 SAFH 447 447 0 0.2 2.7E+02 1 1.9E+04 131793 467 SAFH 448 448 0 0.2 3.5E+02 1 2E+04 140660 468 SAFH 449 449 0 0.2 3.6E+02 1 9.3E+03 126989 469 SAFH 450 450 0 0.2 2.6E+02 1 1.4E+04 132872 470 SAFH 451 451 0 0.2 3.4E+02 1 1.7E+04 141303 471 SAFH 452 452 0 0.2 3.9E+02 1 1.2E+04 132122 472 SAFH 453 453 0 0.2 1.5E+02 1 1.2E+04 129055 473 SAFH 454 454 0 0.2 3.1E+02 1 1.3E+04 130364 474 SAFH 455 455 0 0.2 2.8E+02 1 1.5E+04 136426 475 SAFH 456 456 0 0.2 2.8E+02 1 1.5E+04 130521 476 SAFH 457 457 0 0.2 2.2E+02 1 8.5E+03 132027 477 SAFH 458 458 0 0.2 2.6E+02 1 1.1E+04 133797 478 SAFH 459 459 0 0.2 3.4E+02 1 1.2E+04 132475 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 460 460 0 0.2 3.2E+02 1 1E+04 135285 480 SAFH 461 461 0 0.2 3.5E+02 1 1.1E+04 145444 481 SAFH 462 462 0 0.2 3.1E+02 1 1.2E+04 134476 482 SAFH 463 463 0 0.2 2.9E+02 1 1.4E+04 136897 483 SAFH 464 464 0 0.2 3E+02 1 1.9E+04 140804 484 SAFH 465 465 0 0.2 3.6E+02 1 2E+04 132395 485 SAFH 466 466 0 0.2 3.9E+02 1 2.7E+04 139345 486 SAFH 467 467 0 0.2 4.1E+02 1 1E+04 135242 487 SAFH 468 468 0 0.2 1.6E+02 1 8.7E+03 126993 488 SAFH 469 469 0 0.2 1.7E+02 1 1.1E+04 126170 489 SAFH 470 470 0 0.2 2.6E+02 1 1E+04 133521 490 SAFH 471 471 0 0.2 1.7E+02 1 1.1E+04 134252 491 SAFH 472 472 0 0.2 3.6E+02 1 2.1E+04 132309 492 SAFH 473 473 0 0.2 2.8E+02 1 9.1E+03 139846 493 SAFH 474 474 0 0.2 3.5E+02 1 1.4E+04 136729 494 SAFH 475 475 0 0.2 2.5E+02 1 2.1E+04 131578 495 SAFH 476 476 0 0.2 3E+02 1 2.2E+04 130776 496 SAFH 477 477 0 0.2 3.1E+02 1 1.1E+04 135863 497 SAFH 478 478 0 0.2 2.9E+02 1 1.1E+04 134456 498 SAFH 479 479 0 0.2 3.6E+02 1 1.3E+04 130724 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 480 480 0 0.2 2.9E+02 1 1.1E+04 135105 500 SAFH 481 481 0 0.2 4.1E+02 1 1.7E+04 146381 501 SAFH 482 482 0 0.2 3.8E+02 1 1.4E+04 123683 502 SAFH 483 483 0 0.2 3.9E+02 1 2.3E+04 139915 503 SAFH 484 484 0 0.2 3.9E+02 1 1.4E+04 132416 504 SAFH 485 485 0 0.2 3.7E+02 1 2E+04 132085 505 SAFH 486 486 0 0.2 2.7E+02 1 1.3E+04 135228 506 SAFH 487 487 0 0.2 3.2E+02 1 1.7E+04 148317 507 SAFH 488 488 0 0.2 3.4E+02 1 1.7E+04 133313 508 SAFH 489 489 0 0.2 3.2E+02 1 1.9E+04 148399 509 SAFH 490 490 0 0.2 1.1E+02 1 1.8E+04 159824 510 SAFH 491 491 0 0.2 24 1 1.2E+04 161310 511 SAFH 492 492 0 0.2 3.4E+02 1 1.2E+04 132414 512 SAFH 493 493 0 0.2 2.6E+02 1 2.3E+04 126802 513 SAFH 494 494 0 0.2 2.6E+02 1 1.4E+04 128974 514 SAFH 495 495 0 0.2 4.1E+02 1 1.7E+04 137536 515 SAFH 496 496 0 0.2 3.3E+02 1 1.6E+04 126464 516 SAFH 497 497 0 0.2 2.4E+02 1 1.1E+04 132802 517 SAFH 498 498 0 0.2 2.8E+02 1 9.8E+03 140799 518 SAFH 499 499 0 0.2 2.7E+02 1 1.5E+04 134453 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 500 500 0 0.2 1.1E+02 1 1.1E+04 138903 520 SAFH 501 501 0 0.2 2.1E+02 1 1.4E+04 132133 521 SAFH 502 502 0 0.2 3.3E+02 1 8.4E+03 140796 522 SAFH 503 503 0 0.2 1.8E+02 1 1.2E+04 147493 523 SAFH 504 504 0 0.2 3.2E+02 1 9.1E+03 128826 524 SAFH 505 505 0 0.2 3.9E+02 1 1.7E+04 135935 525 SAFH 506 506 0 0.2 2.9E+02 1 8.5E+03 130889 526 SAFH 507 507 0 0.2 2.4E+02 1 1.1E+04 137020 527 SAFH 508 508 0 0.2 3.9E+02 1 1.8E+04 133084 528 SAFH 509 509 0 0.2 3.6E+02 1 8.9E+03 141663 529 SAFH 510 510 0 0.2 54 1 1E+04 143434 530 SAFH 511 511 0 0.2 2.4E+02 1 1.3E+04 136034 531 SAFH 512 512 0 0.2 2.5E+02 1 1.5E+04 136308 532 SAFH 513 513 0 0.2 3.9E+02 1 1.3E+04 132038 533 SAFH 514 514 0 0.2 3.3E+02 1 1.8E+04 149147 534 SAFH 515 515 0 0.2 3.1E+02 1 1E+04 128952 535 SAFH 516 516 0 0.2 1.6E+02 1 7.4E+03 129292 536 SAFH 517 517 0 0.2 3.2E+02 1 1.5E+04 136468 537 SAFH 518 518 0 0.2 2.7E+02 1 8.5E+03 127211 538 SAFH 519 519 0 0.2 2.9E+02 1 1.5E+04 132348 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 520 520 0 0.2 2.8E+02 1 9.9E+03 131880 540 SAFH 521 521 0 0.2 3E+02 1 1.4E+04 134701 541 SAFH 522 522 0 0.2 3.2E+02 1 9.7E+03 130874 542 SAFH 523 523 0 0.2 3.7E+02 1 1.2E+04 141005 543 SAFH 524 524 0 0.2 3.4E+02 1 1.1E+04 131271 544 SAFH 525 525 0 0.2 2.9E+02 1 8.9E+03 132230 545 SAFH 526 526 0 0.2 3.5E+02 1 2.4E+04 152838 546 SAFH 527 527 0 0.2 3.1E+02 1 1E+04 131339 547 SAFH 528 528 0 0.2 3E+02 1 1.3E+04 132727 548 SAFH 529 529 0 0.2 4.1E+02 1 1.4E+04 138046 549 SAFH 530 530 0 0.2 1.1E+02 1 2.2E+04 144773 550 SAFH 531 531 0 0.2 2E+02 1 1.8E+04 143895 551 SAFH 532 532 0 0.2 93 1 1.5E+04 143177 552 SAFH 533 533 0 0.2 3E+02 1 1.2E+04 143361 553 SAFH 534 534 0 0.2 4E+02 1 1.6E+04 133650 554 SAFH 535 535 0 0.2 3.6E+02 1 1.4E+04 133887 555 SAFH 536 536 0 0.2 44 1 9.6E+03 134019 556 SAFH 537 537 0 0.2 1.2E+02 1 7.3E+03 127933 557 SAFH 538 538 0 0.2 2.7E+02 1 1.4E+04 137652 558 SAFH 539 539 0 0.2 3.5E+02 1 2.2E+04 145362 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 540 540 0 0.2 2.4E+02 1 8.9E+03 138298 560 SAFH 541 541 0 0.2 2E+02 1 7.5E+03 137491 561 SAFH 542 542 0 0.2 2.2E+02 1 7.2E+03 130700 562 SAFH 543 543 0 0.2 2.8E+02 1 7.9E+03 135829 563 SAFH 544 544 0 0.2 2.9E+02 1 1E+04 132931 564 SAFH 545 545 0 0.2 3.5E+02 1 1.6E+04 151523 565 SAFH 546 546 0 0.2 4.1E+02 1 1.8E+04 140116 566 SAFH 547 547 0 0.2 3.1E+02 1 1.2E+04 133501 567 SAFH 548 548 0 0.2 3E+02 1 1.3E+04 129928 568 SAFH 549 549 0 0.2 2E+02 1 9.4E+03 130824 569 SAFH 550 550 0 0.2 2.3E+02 1 1.2E+04 140440 570 SAFH 551 551 0 0.2 1.6E+02 1 1.5E+04 141953 571 SAFH 552 552 0 0.2 4.6E+02 1 2.3E+04 142300 572 SAFH 553 553 0 0.2 3.3E+02 1 1.2E+04 130729 573 SAFH 554 554 0 0.2 3.8E+02 1 2E+04 164858 574 SAFH 555 555 0 0.2 5.1E+02 1 7E+03 132580 575 SAFH 556 556 0 0.2 2.4E+02 1 1.2E+04 134456 576 SAFH 557 557 0 0.2 2.8E+02 1 1.3E+04 125540 577 SAFH 558 558 0 0.2 2.9E+02 1 1.4E+04 131089 578 SAFH 559 559 0 0.2 3.1E+02 1 1E+04 129311 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 560 560 0 0.2 63 1 8.2E+03 130427 580 SAFH 561 561 0 0.2 2.9E+02 1 1E+04 141993 581 SAFH 562 562 0 0.2 3E+02 1 8.1E+03 133968 582 SAFH 563 563 0 0.2 1.2E+02 1 9.8E+03 134660 583 SAFH 564 564 0 0.2 2.3E+02 1 1.2E+04 130694 584 SAFH 565 565 0 0.2 1.4E+02 1 1.2E+04 133612 585 SAFH 566 566 0 0.2 2.7E+02 1 1.4E+04 131509 586 SAFH 567 567 0 0.2 3.8E+02 1 1.6E+04 143335 587 SAFH 568 568 0 0.2 3.4E+02 1 8.3E+03 132830 588 SAFH 569 569 0 0.2 2.1E+02 1 1.3E+04 135747 589 SAFH 570 570 0 0.2 3.8E+02 1 1.8E+04 148310 590 SAFH 571 571 0 0.2 4.3E+02 1 2.1E+04 130954 591 SAFH 572 572 0 0.2 2.6E+02 1 1.5E+04 132153 592 SAFH 573 573 0 0.2 4E+02 1 1.5E+04 134716 593 SAFH 574 574 0 0.2 3.1E+02 1 1.4E+04 142872 594 SAFH 575 575 0 0.2 3.9E+02 1 1.1E+04 131319 595 SAFH 576 576 0 0.2 2.7E+02 1 7.1E+03 138333 596 SAFH 577 577 0 0.2 2.4E+02 1 6.2E+03 129139 597 SAFH 578 578 0 0.2 2.5E+02 1 8E+03 146141 598 SAFH 579 579 0 0.2 3.2E+02 1 8.3E+03 146789 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 580 580 0 0.2 3.5E+02 1 1.1E+04 139475 600 SAFH 581 581 0 0.2 2E+02 1 1.5E+04 137782 601 SAFH 582 582 0 0.2 3.2E+02 1 9.9E+03 131358 602 SAFH 583 583 0 0.2 2.7E+02 1 9.7E+03 138049 603 SAFH 584 584 0 0.2 3.2E+02 1 8.6E+03 131104 604 SAFH 585 585 0 0.2 2.9E+02 1 1.8E+04 135902 605 SAFH 586 586 0 0.2 3E+02 1 1.7E+04 128290 606 SAFH 587 587 0 0.2 2.3E+02 1 1.5E+04 131255 607 SAFH 588 588 0 0.2 3.3E+02 1 1.4E+04 131734 608 SAFH 589 589 0 0.2 3.5E+02 1 1.8E+04 129245 609 SAFH 590 590 0 0.2 2.8E+02 1 1.7E+04 133280 610 SAFH 591 591 0 0.2 3.4E+02 1 1.1E+04 134592 611 SAFH 592 592 0 0.2 1.8E+02 1 8.6E+03 135859 612 SAFH 593 593 0 0.2 2.7E+02 1 9.1E+03 130331 613 SAFH 594 594 0 0.2 3.8E+02 1 1.5E+04 151269 614 SAFH 595 595 0 0.2 4E+02 1 1.3E+04 127690 615 SAFH 596 596 0 0.2 4E+02 1 1.5E+04 154172 616 SAFH 597 597 0 0.2 2.9E+02 1 1.1E+04 144789 617 SAFH 598 598 0 0.2 3.2E+02 1 9.9E+03 128087 618 SAFH 599 599 0 0.2 2.8E+02 1 1E+04 136311 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 600 600 0 0.2 3.5E+02 1 1.9E+04 149960 620 SAFH 601 601 0 0.2 3.1E+02 1 8.8E+03 134534 621 SAFH 602 602 0 0.2 1.8E+02 1 7.9E+03 135537 622 SAFH 603 603 0 0.2 3E+02 1 9.5E+03 139925 623 SAFH 604 604 0 0.2 2.7E+02 1 1.6E+04 141834 624 SAFH 605 605 0 0.2 4.1E+02 1 1.1E+04 132869 625 SAFH 606 606 0 0.2 2.2E+02 1 1.4E+04 129228 626 SAFH 607 607 0 0.2 3.7E+02 1 1.9E+04 134387 627 SAFH 608 608 0 0.2 3.7E+02 1 8.9E+03 130612 628 SAFH 609 609 0 0.2 1.8E+02 1 8.5E+03 132528 629 SAFH 610 610 0 0.2 2.2E+02 1 1.1E+04 135030 630 SAFH 611 611 0 0.2 2.8E+02 1 8.5E+03 128746 631 SAFH 612 612 0 0.2 2.9E+02 1 1.1E+04 130889 632 SAFH 613 613 0 0.2 2.5E+02 1 1E+04 132211 633 SAFH 614 614 0 0.2 2.6E+02 1 7.1E+03 125138 634 SAFH 615 615 0 0.2 2.4E+02 1 1.4E+04 145740 635 SAFH 616 616 0 0.2 2.5E+02 1 8.2E+03 131181 636 SAFH 617 617 0 0.2 1.7E+02 1 1.2E+04 135522 637 SAFH 618 618 0 0.2 2.4E+02 1 1E+04 127261 638 SAFH 619 619 0 0.2 2.6E+02 1 8.6E+03 131020 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 620 620 0 0.2 3E+02 1 6.3E+03 131110 640 SAFH 621 621 0 0.2 1.7E+02 1 9.3E+03 138891 641 SAFH 622 622 0 0.2 1.7E+02 1 1.4E+04 142343 642 SAFH 623 623 0 0.2 4.3E+02 1 1.2E+04 134204 643 SAFH 624 624 0 0.2 3.4E+02 1 1E+04 134036 644 SAFH 625 625 0 0.2 1.4E+02 1 1.2E+04 137943 645 SAFH 626 626 0 0.2 2.3E+02 1 6.2E+03 129976 646 SAFH 627 627 0 0.2 2E+02 1 1.2E+04 139228 647 SAFH 628 628 0 0.2 1.9E+02 1 1.2E+04 140131 648 SAFH 629 629 0 0.2 2.5E+02 1 1E+04 134824 649 SAFH 630 630 0 0.2 1.1E+02 1 6.4E+03 132907 650 SAFH 631 631 0 0.2 1.5E+02 1 7.8E+03 133124 651 SAFH 632 632 0 0.2 3.3E+02 1 1.2E+04 142009 652 SAFH 633 633 0 0.2 2.4E+02 1 8.5E+03 143202 653 SAFH 634 634 0 0.2 3.1E+02 1 1.9E+04 150588 654 SAFH 635 635 0 0.2 3.9E+02 1 1.2E+04 130737 655 SAFH 636 636 0 0.2 3.5E+02 1 1.1E+04 131802 656 SAFH 637 637 0 0.2 3.4E+02 1 1.5E+04 129530 657 SAFH 638 638 0 0.2 3.9E+02 1 1.6E+04 147478 658 SAFH 639 639 0 0.2 1.5E+02 1 1.4E+04 145712 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 640 640 0 0.2 2.7E+02 1 1.1E+04 133509 660 SAFH 641 641 0 0.2 2.1E+02 1 1.6E+04 136669 661 SAFH 642 642 0 0.2 3.7E+02 1 1.2E+04 135195 662 SAFH 643 643 0 0.2 2.9E+02 1 1.7E+04 136568 663 SAFH 644 644 0 0.2 2.6E+02 1 1.9E+04 137344 664 SAFH 645 645 0 0.2 1E+02 1 1.7E+04 141363 665 SAFH 646 646 0 0.2 1.3E+02 1 1.1E+04 140803 666 SAFH 647 647 0 0.2 73 1 9.5E+03 145082 667 SAFH 648 648 0 0.2 2.6E+02 1 1.2E+04 136572 668 SAFH 649 649 0 0.2 3.4E+02 1 1.2E+04 133282 669 SAFH 650 650 0 0.2 2.9E+02 1 8.7E+03 140305 670 SAFH 651 651 0 0.2 3.3E+02 1 1.3E+04 132621 671 SAFH 652 652 0 0.2 1.4E+02 1 2E+04 138716 672 SAFH 653 653 0 0.2 3.3E+02 1 6.9E+03 133950 673 SAFH 654 654 0 0.2 2.4E+02 1 1.2E+04 135751 674 SAFH 655 655 0 0.2 4.2E+02 1 1.3E+04 138243 675 SAFH 656 656 0 0.2 3.1E+02 1 1.3E+04 134239 676 SAFH 657 657 0 0.2 3E+02 1 1.1E+04 132812 677 SAFH 658 658 0 0.2 3.1E+02 1 1.3E+04 138827 678 SAFH 659 659 0 0.2 1.5E+02 1 1.2E+04 139937 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 660 660 0 0.2 1.5E+02 1 9.5E+03 142905 680 SAFH 661 661 0 0.2 91 1 8E+03 143809 681 SAFH 662 662 0 0.2 1.2E+02 1 5.3E+03 144305 682 SAFH 663 663 0 0.2 1.5E+02 1 7.1E+03 141097 683 SAFH 664 664 0 0.2 1.1E+02 1 4.6E+03 142450 684 SAFH 665 665 0 0.2 2.2E+02 1 6.5E+03 128313 685 SAFH 666 666 0 0.2 2.8E+02 1 1.3E+04 133438 686 SAFH 667 667 0 0.2 3.2E+02 1 1E+04 129265 687 SAFH 668 668 0 0.2 2.5E+02 1 1.3E+04 128774 688 SAFH 669 669 0 0.2 2.6E+02 1 8.5E+03 134453 689 SAFH 670 670 0 0.2 3E+02 1 1.8E+04 136094 690 SAFH 671 671 0 0.2 3.3E+02 1 1.6E+04 135855 691 SAFH 672 672 0 0.2 3.6E+02 1 7.5E+03 134894 692 SAFH 673 673 0 0.2 3.1E+02 1 1.5E+04 135363 693 SAFH 674 674 0 0.2 4.6E+02 1 2.1E+04 145304 694 SAFH 675 675 0 0.2 2.6E+02 1 1.7E+04 150794 695 SAFH 676 676 0 0.2 3.5E+02 1 5.6E+03 130327 696 SAFH 677 677 0 0.2 2.9E+02 1 1.8E+04 132297 697 SAFH 678 678 0 0.2 2.9E+02 1 2.1E+04 134012 698 SAFH 679 679 0 0.2 3.3E+02 1 1.4E+04 131976 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 680 680 0 0.2 2.4E+02 1 1.3E+04 130210 700 SAFH 681 681 0 0.2 4.2E+02 1 1.3E+04 139813 701 SAFH 682 682 0 0.2 2.8E+02 1 1.6E+04 131938 702 SAFH 683 683 0 0.2 3.8E+02 1 1.1E+04 129421 703 SAFH 684 684 0 0.2 3.1E+02 1 1.1E+04 140411 704 SAFH 685 685 0 0.2 2.3E+02 1 5.5E+03 127908 705 SAFH 686 686 0 0.2 2.2E+02 1 6.5E+03 129047 706 SAFH 687 687 0 0.2 2.3E+02 1 7.6E+03 144343 707 SAFH 688 688 0 0.2 2.5E+02 1 1.2E+04 141532 708 SAFH 689 689 0 0.2 2.3E+02 1 7.2E+03 130673 709 SAFH 690 690 0 0.2 2.1E+02 1 9.2E+03 132245 710 SAFH 691 691 0 0.2 2.8E+02 1 1.2E+04 139588 711 SAFH 692 692 0 0.2 1.7E+02 1 9.5E+03 148152 712 SAFH 693 693 0 0.2 1.2E+02 1 1E+04 149042 713 SAFH 694 694 0 0.2 2.5E+02 1 6.1E+03 133788 714 SAFH 695 695 0 0.2 2.6E+02 1 6.6E+03 150252 715 SAFH 696 696 0 0.2 3.3E+02 1 1.1E+04 137975 716 SAFH 697 697 0 0.2 3.1E+02 1 9.6E+03 132060 717 SAFH 698 698 0 0.2 3.2E+02 1 6.7E+03 131158 718 SAFH 699 699 0 0.2 1.6E+02 1 6.3E+03 136163 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 700 700 0 0.2 2.5E+02 1 7.3E+03 131023 720 SAFH 701 701 0 0.2 1.8E+02 1 8.8E+03 128997 721 SAFH 702 702 0 0.2 1.5E+02 1 5.1E+03 128733 722 SAFH 703 703 0 0.2 2.3E+02 1 9.5E+03 131286 723 SAFH 704 704 0 0.2 2.1E+02 1 8.4E+03 136051 724 SAFH 705 705 0 0.2 3.6E+02 1 1.1E+04 128353 725 SAFH 706 706 0 0.2 3.5E+02 1 1.1E+04 145388 726 SAFH 707 707 0 0.2 3.6E+02 1 1.7E+04 140555 727 SAFH 708 708 0 0.2 3.1E+02 1 4.7E+03 135971 728 SAFH 709 709 0 0.2 3.4E+02 1 1.7E+04 140771 729 SAFH 710 710 0 0.2 3.8E+02 1 4E+03 129922 730 SAFH 711 711 0 0.2 1.9E+02 1 1.1E+04 128723 731 SAFH 712 712 0 0.2 3.2E+02 1 1.2E+04 137650 732 SAFH 713 713 0 0.2 4.3E+02 1 1.4E+04 165856 733 SAFH 714 714 0 0.2 3.5E+02 1 7.6E+03 131347 734 SAFH 715 715 0 0.2 2.8E+02 1 1.1E+04 132483 735 SAFH 716 716 0 0.2 1.1E+02 1 6.4E+03 133481 736 SAFH 717 717 0 0.2 2.8E+02 1 8.3E+03 129323 737 SAFH 718 718 0 0.2 2.7E+02 1 5.9E+03 132771 738 SAFH 719 719 0 0.2 1.5E+02 1 6.6E+03 127764 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 720 720 0 0.2 56 1 6.3E+03 129197 740 SAFH 721 721 0 0.2 34 1 6.9E+03 129508 741 SAFH 722 722 0 0.2 2.8E+02 1 9.1E+03 132044 742 SAFH 723 723 0 0.2 3E+02 1 1.1E+04 134426 743 SAFH 724 724 0 0.2 3.9E+02 1 1.5E+04 154755 744 SAFH 725 725 0 0.2 3.2E+02 1 5E+03 133212 745 SAFH 726 726 0 0.2 2E+02 1 8.3E+03 133303 746 SAFH 727 727 0 0.2 2.2E+02 1 4.3E+03 129406 747 SAFH 728 728 0 0.2 2.7E+02 1 1.9E+04 137529 748 SAFH 729 729 0 0.2 2.8E+02 1 1.2E+04 137147 749 SAFH 730 730 0 0.2 3.4E+02 1 6.4E+03 138369 750 SAFH 731 731 0 0.2 2.6E+02 1 8.1E+03 133519 751 SAFH 732 732 0 0.2 44 1 5.8E+03 134718 752 SAFH 733 733 0 0.2 1.3E+02 1 5E+03 132107 753 SAFH 734 734 0 0.2 2.4E+02 1 1E+04 132649 754 SAFH 735 735 0 0.2 2.1E+02 1 7.2E+03 132771 755 SAFH 736 736 0 0.2 2.1E+02 1 9.2E+03 132443 756 SAFH 737 737 0 0.2 1.5E+02 1 6.7E+03 125566 757 SAFH 738 738 0 0.2 3.4E+02 1 1.2E+04 144674 758 SAFH 739 739 0 0.2 2.6E+02 1 1.7E+04 152641 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 740 740 0 0.2 3.7E+02 1 9.4E+03 134290 760 SAFH 741 741 0 0.2 1.6E+02 1 9.9E+03 131055 761 SAFH 742 742 0 0.2 2.7E+02 1 1.4E+04 140239 762 SAFH 743 743 0 0.2 3.3E+02 1 8.7E+03 132766 763 SAFH 744 744 0 0.2 54 1 9.1E+03 134101 764 SAFH 745 745 0 0.2 3.2E+02 1 9.5E+03 131969 765 SAFH 746 746 0 0.2 2.4E+02 1 8.6E+03 134959 766 SAFH 747 747 0 0.2 2.5E+02 1 9.1E+03 135421 767 SAFH 748 748 0 0.2 66 1 6.7E+03 135757 768 SAFH 749 749 0 0.2 2E+02 1 9E+03 144122 769 SAFH 750 750 0 0.2 1.4E+02 1 7.8E+03 146349 770 SAFH 751 751 0 0.2 88 1 7.4E+03 149367 771 SAFH 752 752 0 0.2 2.9E+02 1 4.6E+03 131779 772 SAFH 753 753 0 0.2 42 1 3E+03 132160 773 SAFH 754 754 0 0.2 1.5E+02 1 4.4E+03 131279 774 SAFH 755 755 0 0.2 1.3E+02 1 7.2E+03 133170 775 SAFH 756 756 0 0.2 1.5E+02 1 5.2E+03 129702 776 SAFH 757 757 0 0.2 3E+02 1 1.5E+04 134940 777 SAFH 758 758 0 0.2 3.7E+02 1 2.1E+04 134732 778 SAFH 759 759 0 0.2 1.4E+02 1 1.4E+04 134319 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 760 760 0 0.2 1.5E+02 1 1.2E+04 136872 780 SAFH 761 761 0 0.2 3E+02 1 6.4E+03 127543 781 SAFH 762 762 0 0.2 2.1E+02 1 1E+04 135257 782 SAFH 763 763 0 0.2 2.9E+02 1 6.5E+03 129496 783 SAFH 764 764 0 0.2 2.7E+02 1 5.2E+03 141523 784 SAFH 765 765 0 0.2 1.3E+02 1 8.4E+03 139489 785 SAFH 766 766 0 0.2 2.9E+02 1 1.1E+04 137096 786 SAFH 767 767 0 0.2 2E+02 1 7.2E+03 134298 787 SAFH 768 768 0 0.2 1.4E+02 1 9.3E+03 133589 788 SAFH 769 769 0 0.2 3E+02 1 1.3E+04 138425 789 SAFH 770 770 0 0.2 3.6E+02 1 1.1E+04 136080 790 SAFH 771 771 0 0.2 2.6E+02 1 1.1E+04 135512 791 SAFH 772 772 0 0.2 2.4E+02 1 3.2E+03 131780 792 SAFH 773 773 0 0.2 71 1 4.5E+03 133478 793 SAFH 774 774 0 0.2 3.2E+02 1 7.5E+03 133064 794 SAFH 775 775 0 0.2 3.3E+02 1 9.3E+03 141060 795 SAFH 776 776 0 0.2 2.9E+02 1 1.2E+04 134043 796 SAFH 777 777 0 0.2 3E+02 1 1.2E+04 138441 797 SAFH 778 778 0 0.2 2.6E+02 1 5.5E+03 130818 798 SAFH 779 779 0 0.2 1.9E+02 1 1.1E+04 132943 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 780 780 0 0.2 1.7E+02 1 8.5E+03 141205 800 SAFH 781 781 0 0.2 1.8E+02 1 9.3E+03 135633 801 SAFH 782 782 0 0.1 1.8E+02 1 6.2E+03 128968 802 SAFH 783 783 0 0.1 2.4E+02 1 6.1E+03 130993 803 SAFH 784 784 0 0.1 2.3E+02 1 8E+03 125590 804 SAFH 785 785 0 0.1 1.4E+02 1 5.6E+03 127578 805 SAFH 786 786 0 0.1 2.3E+02 1 9.6E+03 130261 806 SAFH 787 787 0 0.1 2.3E+02 1 5.4E+03 134280 807 SAFH 788 788 0 0.1 2.5E+02 1 4.4E+03 129381 808 SAFH 789 789 0 0.1 2.5E+02 1 1.3E+04 130287 809 SAFH 790 790 0 0.1 1.5E+02 1 7.5E+03 125465 810 SAFH 791 791 0 0.1 2.7E+02 1 5.7E+03 133606 811 SAFG 792 792 0 0.1 2E+02 0 0 130197 811 FOUND SOLUTION: 130197 (NLP) in 3334 sec. 812 SAFH 792 792 0 0.1 44 1 5.9E+03 127115 813 SAFH 793 793 0 0.1 2.5E+02 1 9.2E+03 131877 814 SAFH 794 794 0 0.1 2.8E+02 1 5.7E+03 131884 815 SAFH 795 795 0 0.1 3E+02 1 9.8E+03 131637 816 SAFH 796 796 0 0.1 2.6E+02 1 6.4E+03 129419 817 SAFH 797 797 0 0.1 2E+02 1 6.6E+03 129399 818 SAFH 798 798 0 0.1 2.6E+02 1 7E+03 133498 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 799 799 0 0.1 2.2E+02 1 7E+03 130561 820 SAFH 800 800 0 0.1 2.1E+02 1 8.9E+03 134673 821 SAFH 801 801 0 0.1 2.2E+02 1 8.1E+03 125831 822 SAFH 802 802 0 0.1 2.1E+02 1 1E+04 131001 823 SAFH 803 803 0 0.1 1.7E+02 1 5.2E+03 126173 824 SAFH 804 804 0 0.1 2E+02 1 6.3E+03 130313 825 SAFH 805 805 0 0.1 2.3E+02 1 4.4E+03 127837 826 SAFH 806 806 0 0.1 1.3E+02 1 5.1E+03 127688 827 SAFH 807 807 0 0.1 1.7E+02 1 4.1E+03 130753 828 SAFH 808 808 0 0.1 2.4E+02 1 6.6E+03 129098 829 SAFH 809 809 0 0.1 2.3E+02 1 6E+03 130251 830 SAFH 810 810 0 0.1 1.8E+02 1 6E+03 130453 831 SAFH 811 811 0 0.1 2.1E+02 1 8.7E+03 128195 832 SAFG 812 812 0 0.1 1.7E+02 0 0 129796 832 FOUND SOLUTION: 129796 (NLP) in 3650 sec. 833 SAFH 812 812 0 0.1 53 1 5.1E+03 126383 834 SAFH 813 813 0 0.1 1.7E+02 1 4.4E+03 128444 835 SAFH 814 814 0 0.1 1.8E+02 1 4.5E+03 140923 836 SAFH 815 815 0 0.1 39 1 2.5E+03 142848 837 SAFH 816 816 0 0.1 2.7E+02 1 5.3E+03 127180 838 SAFH 817 817 0 0.1 3.1E+02 1 6.9E+03 135584 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 818 818 0 0.1 1.3E+02 1 7.7E+03 134034 840 SAFH 819 819 0 0.1 2.1E+02 1 7.1E+03 130027 841 SAFH 820 820 0 0.1 2.1E+02 1 6.3E+03 132389 842 SAFH 821 821 0 0.1 2.2E+02 1 5.2E+03 127281 843 SAFH 822 822 0 0.1 1.9E+02 1 6.1E+03 129205 844 SAFH 823 823 0 0.1 2.4E+02 1 6.6E+03 127753 845 SAFH 824 824 0 0.1 2.4E+02 1 5.2E+03 130568 846 SAFH 825 825 0 0.1 2.3E+02 1 7.4E+03 129762 847 SAFH 826 826 0 0.1 2.3E+02 1 5.8E+03 129179 848 SAFH 827 827 0 0.1 2.1E+02 1 5.3E+03 128845 849 SAFH 828 828 0 0.1 1.1E+02 1 5.6E+03 130998 850 SAFH 829 829 0 0.1 2.6E+02 1 8E+03 128015 851 SAFH 830 830 0 0.1 2.8E+02 1 4.6E+03 130270 852 SAFH 831 831 0 0.1 1.1E+02 1 4.4E+03 130534 853 SAFH 832 832 0 0.1 1.8E+02 1 5.2E+03 129365 854 SAFH 833 833 0 0.1 1.5E+02 1 3.6E+03 130136 855 SAFH 834 834 0 0.1 99 1 3.5E+03 129442 856 SAFH 835 835 0 0.1 2.6E+02 1 6.5E+03 129923 857 SAFH 836 836 0 0.1 2.1E+02 1 4.7E+03 127707 858 SAFH 837 837 0 0.1 1.2E+02 1 3.5E+03 128823 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 838 838 0 0.1 1.2E+02 1 5.7E+03 136261 860 SAFH 839 839 0 0.1 3.1E+02 1 8.3E+03 127497 861 SAFH 840 840 0 0.1 2.7E+02 1 3.4E+03 127440 862 SAFH 841 841 0 0.1 2.2E+02 1 6.9E+03 134374 863 SAFH 842 842 0 0.1 1.8E+02 1 6.4E+03 129180 864 SAFH 843 843 0 0.1 1.5E+02 1 7.2E+03 128995 865 SAFH 844 844 0 0.1 1.9E+02 1 4.9E+03 130328 866 SAFH 845 845 0 0.1 2.5E+02 1 7.7E+03 131242 867 SAFH 846 846 0 0.1 2.1E+02 1 4.6E+03 130007 868 SAFH 847 847 0 0.1 2.8E+02 1 5.3E+03 137377 869 SAFH 848 848 0 0.1 2E+02 1 5.7E+03 129365 870 SAFH 849 849 0 0.1 2.3E+02 1 6.9E+03 133172 871 SAFH 850 850 0 0.1 2.4E+02 1 4E+03 132548 872 SAFH 851 851 0 0.1 2.1E+02 1 4.9E+03 134196 873 SAFH 852 852 0 0.1 2.9E+02 1 9E+03 134891 874 SAFH 853 853 0 0.1 2.5E+02 1 8.2E+03 130028 875 SAFH 854 854 0 0.1 2.2E+02 1 4.1E+03 133534 876 SAFH 855 855 0 0.1 1.5E+02 1 3.9E+03 131125 877 SAFH 856 856 0 0.1 2.3E+02 1 8E+03 135175 878 SAFH 857 857 0 0.1 2.5E+02 1 3.3E+03 129333 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 858 858 0 0.1 1.7E+02 1 4.5E+03 129916 880 SAFH 859 859 0 0.1 2.2E+02 1 7.7E+03 129609 881 SAFH 860 860 0 0.1 2.7E+02 1 2.9E+03 129326 882 SAFH 861 861 0 0.1 90 1 3.1E+03 132361 883 SAFH 862 862 0 0.1 1.9E+02 1 3.4E+03 128039 884 SAFH 863 863 0 0.1 1.4E+02 1 3.1E+03 127975 885 SAFH 864 864 0 0.1 1.9E+02 1 4.5E+03 130019 886 SAFH 865 865 0 0.1 2E+02 1 4.2E+03 130847 887 SAFH 866 866 0 0.1 2E+02 1 2.5E+03 135651 888 SAFH 867 867 0 0.1 1.3E+02 1 3.2E+03 128114 889 SAFH 868 868 0 0.1 1.8E+02 1 3.9E+03 130599 890 SAFH 869 869 0 0.1 1.1E+02 1 3.5E+03 128380 891 SAFH 870 870 0 0.1 1.9E+02 1 5.4E+03 129730 892 SAFH 871 871 0 0.1 49 1 4.1E+03 130562 893 SAFH 872 872 0 0.1 1.6E+02 1 3.4E+03 131041 894 SAFH 873 873 0 0.1 1.7E+02 1 5E+03 132532 895 SAFH 874 874 0 0.1 68 1 4.3E+03 133923 896 SAFH 875 875 0 0.1 1.9E+02 1 3.4E+03 128070 897 SAFH 876 876 0 0.1 1.9E+02 1 3E+03 129376 898 SAFH 877 877 0 0.1 1.1E+02 1 3.7E+03 129865 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 878 878 0 0.1 2.3E+02 1 8.8E+03 130224 900 SAFH 879 879 0 0.1 1.1E+02 1 6.3E+03 130594 901 SAFH 880 880 0 0.1 2.4E+02 1 8.2E+03 132484 902 SAFH 881 881 0 0.1 2.7E+02 1 4.8E+03 130517 903 SAFH 882 882 0 0.1 1.6E+02 1 4.6E+03 131997 904 SAFH 883 883 0 0.1 2.5E+02 1 1E+04 131250 905 SAFH 884 884 0 0.1 2.3E+02 1 5.1E+03 133587 906 SAFH 885 885 0 0.1 2.5E+02 1 6.4E+03 134275 907 SAFH 886 886 0 0.1 2.3E+02 1 9.1E+03 134397 908 SAFH 887 887 0 0.1 2E+02 1 5.6E+03 133627 909 SAFH 888 888 0 0.1 2.1E+02 1 5.3E+03 133558 910 SAFH 889 889 0 0.1 2.6E+02 1 6.1E+03 132551 911 SAFH 890 890 0 0.1 2.8E+02 1 4.5E+03 131008 912 SAFH 891 891 0 0.1 2.5E+02 1 6.1E+03 129616 913 SAFH 892 892 0 0.1 2.4E+02 1 4.2E+03 131490 914 SAFH 893 893 0 0.1 2.5E+02 1 6.5E+03 134962 915 SAFH 894 894 0 0.1 1.6E+02 1 8E+03 131977 916 SAFH 895 895 0 0.1 2.8E+02 1 4.3E+03 130735 917 SAFH 896 896 0 0.1 2.7E+02 1 4.8E+03 131144 918 SAFH 897 897 0 0.1 71 1 3.5E+03 133178 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 898 898 0 0.1 1.1E+02 1 6.1E+03 136421 920 SAFH 899 899 0 0.1 1.4E+02 1 6.4E+03 137337 921 SAFH 900 900 0 0.1 3E+02 1 5.5E+03 136126 922 SAFH 901 901 0 0.1 2.6E+02 1 8E+03 134116 923 SAFH 902 902 0 0.1 2.7E+02 1 5.4E+03 130128 924 SAFH 903 903 0 0.1 2.1E+02 1 6.4E+03 132449 925 SAFH 904 904 0 0.1 2.4E+02 1 6.1E+03 130398 926 SAFH 905 905 0 0.1 2.7E+02 1 1E+04 131472 927 SAFH 906 906 0 0.1 2.8E+02 1 3.8E+03 131159 928 SAFH 907 907 0 0.1 2.1E+02 1 4.1E+03 129020 929 SAFH 908 908 0 0.1 1.5E+02 1 6.7E+03 129519 930 SAFH 909 909 0 0.1 2.2E+02 1 8.5E+03 130903 931 SAFH 910 910 0 0.1 2.2E+02 1 5.7E+03 133517 932 SAFH 911 911 0 0.1 2.4E+02 1 6.3E+03 132178 933 SAFH 912 912 0 0.1 2.5E+02 1 4.5E+03 135022 934 SAFH 913 913 0 0.1 3.4E+02 1 8.5E+03 144837 935 SAFH 914 914 0 0.1 3E+02 1 5E+03 131565 936 SAFH 915 915 0 0.1 2.2E+02 1 4.9E+03 128893 937 SAFH 916 916 0 0.1 72 1 3.6E+03 131264 938 SAFH 917 917 0 0.1 57 1 4.1E+03 131496 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 918 918 0 0.1 2.7E+02 1 6.2E+03 133575 940 SAFH 919 919 0 0.1 1.5E+02 1 3.9E+03 133788 941 SAFH 920 920 0 0.1 2.1E+02 1 4.9E+03 129042 942 SAFH 921 921 0 0.1 1.5E+02 1 4.9E+03 128509 943 SAFH 922 922 0 0.1 2.4E+02 1 5E+03 130531 944 SAFH 923 923 0 0.1 2.3E+02 1 5.9E+03 133570 945 SAFH 924 924 0 0.1 1.8E+02 1 5E+03 133724 946 SAFH 925 925 0 0.1 70 1 5.9E+03 135813 947 SAFH 926 926 0 0.1 41 1 5.4E+03 135899 948 SAFH 927 927 0 0.1 1.6E+02 1 5.3E+03 133359 949 SAFH 928 928 0 0.1 2.3E+02 1 4.6E+03 130084 950 SAFH 929 929 0 0.1 2.4E+02 1 5.1E+03 130702 951 SAFH 930 930 0 0.1 2.2E+02 1 6.5E+03 132848 952 SAFH 931 931 0 0.1 2.2E+02 1 3.4E+03 130701 953 SAFH 932 932 0 0.1 1.5E+02 1 3.4E+03 127159 954 SAFH 933 933 0 0.1 2.5E+02 1 7.4E+03 133169 955 SAFH 934 934 0 0.1 2E+02 1 8.4E+03 136585 956 SAFH 935 935 0 0.1 99 1 4.9E+03 129277 957 SAFH 936 936 0 0.1 2.5E+02 1 6.1E+03 130321 958 SAFH 937 937 0 0.1 3.2E+02 1 5.7E+03 132266 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 938 938 0 0.1 2.6E+02 1 5.3E+03 129814 960 SAFH 939 939 0 0.1 2.7E+02 1 4.7E+03 130743 961 SAFH 940 940 0 0.1 2.3E+02 1 5.4E+03 130306 962 SAFH 941 941 0 0.1 2.2E+02 1 5.4E+03 131109 963 SAFH 942 942 0 0.1 1.9E+02 1 1E+04 141867 964 SAFH 943 943 0 0.1 3.3E+02 1 6.4E+03 132171 965 SAFH 944 944 0 0.1 2.1E+02 1 6.4E+03 132268 966 SAFH 945 945 0 0.1 2.2E+02 1 4E+03 131203 967 SAFH 946 946 0 0.1 2.6E+02 1 1.1E+04 133029 968 SAFH 947 947 0 0.1 2.2E+02 1 4.6E+03 132361 969 SAFH 948 948 0 0.1 2E+02 1 5.1E+03 132085 970 SAFH 949 949 0 0.1 2.4E+02 1 4.1E+03 131345 971 SAFH 950 950 0 0.1 3.5E+02 1 1.2E+04 138600 972 SAFH 951 951 0 0.1 2.9E+02 1 4.2E+03 132285 973 SAFH 952 952 0 0.1 1.4E+02 1 4.2E+03 130793 974 SAFH 953 953 0 0.1 1.8E+02 1 6.6E+03 134586 975 SAFH 954 954 0 0.1 1.7E+02 1 3.3E+03 128196 976 SAFH 955 955 0 0.1 1.4E+02 1 3.4E+03 129872 977 SAFH 956 956 0 0.1 57 1 3.5E+03 130077 978 SAFH 957 957 0 0.1 1.4E+02 1 2.8E+03 132542 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 958 958 0 0.1 1.3E+02 1 5.9E+03 138641 980 SAFH 959 959 0 0.1 2.3E+02 1 4.1E+03 130917 981 SAFH 960 960 0 0.1 2.5E+02 1 1.1E+04 130360 982 SAFH 961 961 0 0.1 3.2E+02 1 4.6E+03 133305 983 SAFH 962 962 0 0.1 2.3E+02 1 2.9E+03 129462 984 SAFH 963 963 0 0.1 2.3E+02 1 4.3E+03 135307 985 SAFH 964 964 0 0.1 2.7E+02 1 4E+03 127039 986 SAFH 965 965 0 0.1 1.9E+02 1 3.2E+03 131318 987 SAFH 966 966 0 0.1 2.1E+02 1 3.8E+03 131036 988 SAFH 967 967 0 0.1 2.6E+02 1 5.3E+03 130516 989 SAFH 968 968 0 0.1 2.6E+02 1 4.8E+03 131334 990 SAFH 969 969 0 0.1 2.6E+02 1 4E+03 130915 991 SAFH 970 970 0 0.1 2.1E+02 1 4.5E+03 129668 992 SAFH 971 971 0 0.1 2E+02 1 2.9E+03 131682 993 SAFH 972 972 0 0.1 1.8E+02 1 7.9E+03 136657 994 SAFH 973 973 0 0.1 2.7E+02 1 3.3E+03 130678 995 SAFH 974 974 0 0.1 1.5E+02 1 2.1E+03 128694 996 SAFH 975 975 0 0.1 84 1 2.8E+03 129487 997 SAFH 976 976 0 0.1 1.8E+02 1 4.4E+03 135532 998 SAFH 977 977 0 0.1 1.7E+02 1 3.1E+03 130563 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 978 978 0 0.1 2.5E+02 1 6.7E+03 133999 1000 SAFH 979 979 0 0.1 2.4E+02 1 7.2E+03 131735 1001 SAFH 980 980 0 0.1 2.5E+02 1 4.2E+03 132940 1002 SAFH 981 981 0 0.1 2.5E+02 1 4.2E+03 129375 1003 SAFH 982 982 0 0.1 1.4E+02 1 5.3E+03 132490 1004 SAFH 983 983 0 0.1 1.7E+02 1 3.9E+03 131567 1005 SAFH 984 984 0 0.1 2.1E+02 1 3E+03 132796 1006 SAFH 985 985 0 0.1 2.1E+02 1 4.5E+03 132067 1007 SAFH 986 986 0 0.1 1.9E+02 1 3.2E+03 130539 1008 SAFH 987 987 0 0.1 1.9E+02 1 2.9E+03 129479 1009 SAFH 988 988 0 0.1 2.4E+02 1 4.1E+03 133105 1010 SAFH 989 989 0 0.1 1.7E+02 1 7.2E+03 138620 1011 SAFH 990 990 0 0.1 2.1E+02 1 2.9E+03 131561 1012 SAFH 991 991 0 0.1 2.1E+02 1 3.2E+03 130479 1013 SAFH 992 992 0 0.1 2.6E+02 1 2.6E+03 131403 1014 SAFH 993 993 0 0.1 1.6E+02 1 3.4E+03 132826 1015 SAFH 994 994 0 0.1 1.2E+02 1 3.4E+03 132370 1016 SAFH 995 995 0 0.1 2E+02 1 3.2E+03 130402 1017 SAFH 996 996 0 0.1 2.3E+02 1 1.5E+04 130801 1018 SAFH 997 997 0 0.1 2.8E+02 1 7.5E+03 130628 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 998 998 0 0.1 2.5E+02 1 7.5E+03 133398 1020 SAFH 999 999 0 0.1 3E+02 1 1.6E+04 130652 1021 SAFH 1000 1000 0 0.1 3.2E+02 1 4.3E+03 133517 1022 SAFH 1001 1001 0 0.1 1.8E+02 1 4.3E+03 132723 1023 SAFH 1002 1002 0 0.1 2.5E+02 1 1.9E+03 128854 1024 SAFH 1003 1003 0 0.1 2.1E+02 1 5.6E+03 130615 1025 SAFH 1004 1004 0 0.1 1.9E+02 1 3E+03 132034 1026 SAFH 1005 1005 0 0.1 2.7E+02 1 4.6E+03 132765 1027 SAFH 1006 1006 0 0.1 2.4E+02 1 5.5E+03 133978 1028 SAFH 1007 1007 0 0.1 1.7E+02 1 4.5E+03 135077 1029 SAFH 1008 1008 0 0.1 2.3E+02 1 5.9E+03 135021 1030 SAFH 1009 1009 0 0.1 1.3E+02 1 3.7E+03 135337 1031 SAFH 1010 1010 0 0.1 1.6E+02 1 4.9E+03 131277 1032 SAFH 1011 1011 0 0.1 1.6E+02 1 2.2E+03 131580 1033 SAFH 1012 1012 0 0.1 76 1 3.3E+03 130951 1034 SAFH 1013 1013 0 0.1 1.8E+02 1 2.6E+03 131671 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.60_SLay10M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 129795.86441055953037 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 129795.86441055953037 Max constraint (1) : -0 Time used (seconds) : 7202.10 Time limit (seconds) : 7200 Iterations used : 1035 Iteration limit : -1 Function evaluations : 11876 Gradient evaluations : 1015 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 0/1035 NLP solver calls : 1034 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- SLay10M.gms(982) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job SLay10M.gms Stop 09/14/12 16:38:19 elapsed 2:00:02.304 @04 1347633499 ----------------------------- Fr 14. Sep 16:38:19 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10H.gms =========== ----------------------------- Fr 14. Sep 14:38:18 CEST 2012 ----------------------------- @03 1347626298 --- Job Syn10H.gms Start 09/14/12 14:38:18 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10H.gms(285) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- Syn10H.gms(283) 3 Mb --- Generating MINLP model m --- Syn10H.gms(285) 5 Mb --- 113 rows 78 columns 261 non-zeroes --- 100 nl-code 18 nl-non-zeroes --- 10 discrete-columns --- Syn10H.gms(285) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.009 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.61_Syn10H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 261 elements of which 7% are non-linear(NL) included in 113 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 18 from a total of 78 variables: Continuous(68), Binary(10), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (67) infeasibile 0 H 0 0 0 1 0 6 0.11 NA 1 SAFG 6 1 0 1 63 0 5.6E-17 341.565 1 FOUND SOLUTION: 341.565 (NLP) in 1 sec. 2 SAFH 6 1 0 1 56 3 1.4 751.257 3 SAFG 9 2 0 1 90 0 0 1252.35 3 FOUND SOLUTION: 1252.35 (NLP) in 1 sec. 4 SAFH 9 2 0 1 38 2 2.9 1474.25 5 SAFG 11 3 0 1 40 0 0 1267.35 5 FOUND SOLUTION: 1267.35 (NLP) in 1 sec. 6 SAFJL 11 3 0 1 6E-15 0 0 1267.35 7 SAFJ 5 2 0 0.5 7.8E-14 0 0 1267.35 8 SAFJ 5 2 0 0.3 0 0 0 1267.35 9 SAFJ 5 2 0 0.2 0 0 0 1267.35 10 SAFJ 5 2 0 0.1 0 0 0 1267.35 11 AFJ 5 2 0 0 0 0 0 1267.35 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.61_Syn10H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1267.3535500016860169 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 1267.3535500016860169 Max constraint (1) : 0 Time used (seconds) : 0.08 Time limit (seconds) : 7200 Iterations used : 11 Iteration limit : -1 Function evaluations : 282 Gradient evaluations : 11 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 5.0 % NLP time usage : 36.2 % MIP time usage : 58.8 % Optimal/total MIPs : 1/11 NLP solver calls : 12 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10H.gms(285) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10H.gms Stop 09/14/12 14:38:18 elapsed 0:00:00.105 @04 1347626298 ----------------------------- Fr 14. Sep 14:38:18 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M02H.gms =========== ----------------------------- Fr 14. Sep 14:38:18 CEST 2012 ----------------------------- @03 1347626298 --- Job Syn10M02H.gms Start 09/14/12 14:38:18 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M02H.gms(692) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- Syn10M02H.gms(690) 3 Mb --- Generating MINLP model m --- Syn10M02H.gms(692) 5 Mb --- 295 rows 195 columns 673 non-zeroes --- 200 nl-code 36 nl-non-zeroes --- 40 discrete-columns --- Syn10M02H.gms(692) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.013 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.62_Syn10M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 673 elements of which 5% are non-linear(NL) included in 295 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 36 from a total of 195 variables: Continuous(155), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=45 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (132) infeasibile 0 H 0 0 0 1 0 12 0.11 NA 1 SAFG 12 1 0 1 77 0 1.3E-13 13.0731 1 FOUND SOLUTION: 13.0731 (NLP) in 1 sec. 2 SAFJL 12 1 0 1 55 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 4.6E+02 0 2.8E-12 2306.37 7 FOUND SOLUTION: 2306.37 (NLP) in 1 sec. 8 AFH 0 0 0 0 2.8E+02 8 4.5 5309.57 9 AFH 2 1 0 0 22 8 2.6 5302.14 10 AFG 8 2 0 0 2.6E+02 0 2.2E-16 2307.37 10 FOUND SOLUTION: 2307.37 (NLP) in 1 sec. 11 AFH 8 2 0 0 2.5E+02 7 1.3 3346.93 12 AFH 14 3 0 0 1.5E+02 7 2.5 3180.28 13 AFH 16 4 0 0 31 9 0.51 2737.33 14 AFH 23 5 0 0 1E+02 9 0.13 2447.26 15 AFG 28 6 0 0 44 0 1E-14 2310.3 15 FOUND SOLUTION: 2310.3 (NLP) in 1 sec. 16 AFH 28 6 0 0 22 8 0.07 2352.47 17 AFH 32 7 0 0 17 8 0.027 2333.41 18 AFH 37 8 0 0 5.2 8 0.0073 2318.03 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 41 9 0 0 4.1 8 0.0048 2313.5 20 AFH 43 10 0 0 2.3 8 0.0019 2311.46 21 AFH 46 11 0 0 1.4 8 0.00096 2310.7 22 AFH 47 12 0 0 0.099 7 0.00096 2310.67 23 AFH 48 13 0 0 0.099 6 0.00094 2310.64 24 AFH 49 14 0 0 0.45 6 0.00046 2310.54 25 AFH 50 15 0 0 0.46 6 0.00038 2310.53 26 AFH 51 16 0 0 0.31 6 0.00029 2310.48 27 AFH 52 17 0 0 0.33 6 0.00024 2310.43 28 AFH 53 18 0 0 0.23 6 0.00012 2310.39 29 AFH 54 19 0 0 0.23 6 9.5E-05 2310.38 30 AFH 55 20 0 0 0.16 6 7.3E-05 2310.35 31 AFH 56 21 0 0 0.16 6 6E-05 2310.33 32 AFH 57 22 0 0 0.11 6 2.9E-05 2310.32 33 AFH 58 23 0 0 0.11 6 2.4E-05 2310.32 34 AFH 59 24 0 0 0.08 6 1.8E-05 2310.31 35 AFH 60 25 0 0 0.082 6 1.5E-05 2310.31 36 AFH 61 26 0 0 0.057 5 7.1E-06 2310.31 37 AFH 62 27 0 0 0.056 5 6E-06 2310.31 38 AFH 63 28 0 0 0.04 5 4.5E-06 2310.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 64 29 0 0 0.041 4 3.7E-06 2310.3 40 AFH 65 30 0 0 0.029 4 3.8E-06 2310.3 41 AFH 66 31 0 0 4.3E-05 3 1.8E-06 2310.3 42 AFH 67 32 0 0 0.028 2 1.5E-06 2310.3 43 AFH 68 33 0 0 0.02 1 1.1E-06 2310.3 44 AFJ 69 34 0 0 0.021 0 9.3E-07 2310.3 44 FOUND SOLUTION: 2310.3 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.62_Syn10M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2310.3010102292651027 Max constraint (5) : 1.049161807431531077e-14 Alternative solution : MIP Alt. objective value : 2310.301598852277948 Max constraint (11) : 9.3092820663803348603e-07 Time used (seconds) : 1.02 Time limit (seconds) : 7200 Iterations used : 44 Iteration limit : -1 Function evaluations : 828 Gradient evaluations : 81 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 35.1 % MIP time usage : 64.1 % Optimal/total MIPs : 38/44 NLP solver calls : 45 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M02H.gms(692) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M02H.gms Stop 09/14/12 14:38:19 elapsed 0:00:01.057 @04 1347626299 ----------------------------- Fr 14. Sep 14:38:19 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M02M.gms =========== ----------------------------- Fr 14. Sep 14:38:19 CEST 2012 ----------------------------- @03 1347626299 --- Job Syn10M02M.gms Start 09/14/12 14:38:19 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M02M.gms(471) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- Syn10M02M.gms(469) 3 Mb --- Generating MINLP model m --- Syn10M02M.gms(471) 5 Mb --- 199 rows 111 columns 501 non-zeroes --- 80 nl-code 12 nl-non-zeroes --- 40 discrete-columns --- Syn10M02M.gms(471) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.63_Syn10M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 501 elements of which 2% are non-linear(NL) included in 199 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 12 from a total of 111 variables: Continuous(71), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 51 0 5.3E-14 13.073 1 FOUND SOLUTION: 13.073 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 38 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 3.2E+02 0 2.7E-10 2306.37 7 FOUND SOLUTION: 2306.37 (NLP) in 1 sec. 8 AFH 0 0 0 0 1.8E+02 8 4.5 5309.57 9 AFH 2 1 0 0 15 8 2.6 5302.14 10 AFG 8 2 0 0 1.7E+02 0 9.3E-13 2307.37 10 FOUND SOLUTION: 2307.37 (NLP) in 1 sec. 11 AFH 8 2 0 0 1.5E+02 7 1.3 3346.93 12 AFH 14 3 0 0 89 7 2.5 3180.28 13 AFH 16 4 0 0 14 9 0.51 2737.33 14 AFH 23 5 0 0 60 9 0.13 2447.26 15 AFG 28 6 0 0 26 0 6.5E-12 2310.3 15 FOUND SOLUTION: 2310.3 (NLP) in 1 sec. 16 AFH 28 6 0 0 12 8 0.07 2352.47 17 AFH 32 7 0 0 10 8 0.027 2333.41 18 AFH 37 8 0 0 2.5 8 0.0073 2318.03 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 41 9 0 0 2 8 0.0048 2313.5 20 AFH 43 10 0 0 1.1 8 0.0019 2311.46 21 AFH 46 11 0 0 0.67 8 0.00096 2310.7 22 AFH 47 12 0 0 0.066 7 0.00096 2310.67 23 AFH 48 13 0 0 0.066 6 0.00094 2310.64 24 AFH 49 14 0 0 0.21 6 0.00046 2310.54 25 AFH 50 15 0 0 0.23 6 0.00038 2310.53 26 AFH 51 16 0 0 0.16 6 0.00029 2310.48 27 AFH 52 17 0 0 0.16 6 0.00024 2310.43 28 AFH 53 18 0 0 0.11 6 0.00012 2310.39 29 AFH 54 19 0 0 0.11 6 9.5E-05 2310.38 30 AFH 55 20 0 0 0.08 6 7.3E-05 2310.35 31 AFH 56 21 0 0 0.077 6 6E-05 2310.33 32 AFH 57 22 0 0 0.054 6 2.9E-05 2310.32 33 AFH 58 23 0 0 0.056 6 2.4E-05 2310.32 34 AFH 59 24 0 0 0.04 6 1.8E-05 2310.31 35 AFH 60 25 0 0 0.039 6 1.5E-05 2310.31 36 AFH 61 26 0 0 0.027 5 7.1E-06 2310.31 37 AFH 62 27 0 0 0.028 5 6E-06 2310.31 38 AFH 63 28 0 0 0.02 5 4.5E-06 2310.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 64 29 0 0 0.019 4 3.7E-06 2310.3 40 AFH 65 30 0 0 0.013 4 3.8E-06 2310.3 41 AFH 66 31 0 0 2.1E-05 3 1.8E-06 2310.3 42 AFH 67 32 0 0 0.014 2 1.5E-06 2310.3 43 AFH 68 33 0 0 0.01 1 1.1E-06 2310.3 44 AFJ 69 34 0 0 0.0097 0 9.3E-07 2310.3 44 FOUND SOLUTION: 2310.3 in 1 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.63_Syn10M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2310.3006909700088727 Max constraint (8) : 6.4863669990700145718e-12 Alternative solution : MIP Alt. objective value : 2310.3012791629953426 Max constraint (11) : 9.3092837216701695979e-07 Time used (seconds) : 0.74 Time limit (seconds) : 7200 Iterations used : 44 Iteration limit : -1 Function evaluations : 828 Gradient evaluations : 69 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 33.3 % MIP time usage : 65.9 % Optimal/total MIPs : 38/44 NLP solver calls : 45 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M02M.gms(471) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M02M.gms Stop 09/14/12 14:38:20 elapsed 0:00:00.772 @04 1347626300 ----------------------------- Fr 14. Sep 14:38:20 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M03H.gms =========== ----------------------------- Fr 14. Sep 14:38:20 CEST 2012 ----------------------------- @03 1347626300 --- Job Syn10M03H.gms Start 09/14/12 14:38:20 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M03H.gms(1114) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn10M03H.gms(1112) 3 Mb --- Generating MINLP model m --- Syn10M03H.gms(1114) 5 Mb --- 487 rows 292 columns 1,114 non-zeroes --- 300 nl-code 54 nl-non-zeroes --- 60 discrete-columns --- Syn10M03H.gms(1114) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.64_Syn10M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1114 elements of which 5% are non-linear(NL) included in 487 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 54 from a total of 292 variables: Continuous(232), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=72 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (197) infeasibile 0 H 0 0 0 1 0 18 0.11 NA 1 SAFG 18 1 0 1 1E+02 0 1.1E-11 17.1203 1 FOUND SOLUTION: 17.1203 (NLP) in 1 sec. 2 SAFJL 18 1 0 1 73 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 6.5E+02 0 2.6E-13 3350.75 7 FOUND SOLUTION: 3350.75 (NLP) in 1 sec. 8 AFH 0 0 0 0 4.3E+02 12 4.5 7692.01 9 AFH 3 1 0 0 33 12 2.6 7680.87 10 AFG 12 2 0 0 4E+02 0 1.6E-13 3351.75 10 FOUND SOLUTION: 3351.75 (NLP) in 1 sec. 11 AFH 12 2 0 0 3.5E+02 10 1.3 5049.31 12 AFH 21 3 0 0 2.3E+02 10 2.5 4720.56 13 AFH 24 4 0 0 46 13 0.51 4098.74 14 AFH 34 5 0 0 1.4E+02 13 0.13 3569.92 15 AFG 42 6 0 0 57 0 1.1E-16 3354.68 15 FOUND SOLUTION: 3354.68 (NLP) in 1 sec. 16 AFH 42 6 0 0 36 12 0.07 3409.86 17 AFH 48 7 0 0 27 12 0.027 3388.05 18 AFH 54 8 0 0 8.3 12 0.019 3367.48 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 55 9 0 0 2.3 12 0.0085 3364.66 20 AFH 60 10 0 0 7.7 12 0.0048 3359.42 21 AFH 63 11 0 0 2.1 12 0.002 3356.6 22 AFH 69 12 0 0 2.1 12 0.00096 3355.35 23 AFH 70 13 0 0 0.099 11 0.00096 3355.32 24 AFH 71 14 0 0 0.099 10 0.00096 3355.28 25 AFH 72 15 0 0 0.099 9 0.00074 3355.25 26 AFH 73 16 0 0 0.4 9 0.0005 3355.22 27 AFH 74 17 0 0 0.53 9 0.00046 3355.1 28 AFH 75 18 0 0 0.46 9 0.00041 3355.08 29 AFH 76 19 0 0 0.51 9 0.00038 3354.95 30 AFH 77 20 0 0 0.31 9 0.00029 3354.9 31 AFH 78 21 0 0 0.33 9 0.00019 3354.86 32 AFH 79 22 0 0 0.2 9 0.00012 3354.84 33 AFH 80 23 0 0 0.26 9 0.00012 3354.81 34 AFH 81 24 0 0 0.23 9 0.0001 3354.8 35 AFH 82 25 0 0 0.25 9 9.5E-05 3354.78 36 AFH 83 26 0 0 0.16 9 7.3E-05 3354.76 37 AFH 84 27 0 0 0.16 9 4.7E-05 3354.73 38 AFH 85 28 0 0 0.1 9 3.1E-05 3354.72 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 86 29 0 0 0.13 9 2.9E-05 3354.72 40 AFH 87 30 0 0 0.11 9 2.6E-05 3354.71 41 AFH 88 31 0 0 0.13 9 2.4E-05 3354.7 42 AFH 89 32 0 0 0.08 9 1.8E-05 3354.7 43 AFH 90 33 0 0 0.082 9 1.2E-05 3354.7 44 AFH 91 34 0 0 0.051 9 1E-05 3354.69 45 AFH 92 35 0 0 0.044 8 7.8E-06 3354.69 46 AFH 93 36 0 0 0.065 8 7.1E-06 3354.69 47 AFH 94 37 0 0 0.056 8 6.4E-06 3354.69 48 AFH 95 38 0 0 0.063 7 6E-06 3354.69 49 AFH 96 39 0 0 0.04 7 4.5E-06 3354.69 50 AFH 97 40 0 0 0.041 6 2.6E-06 3354.69 51 AFH 98 41 0 0 0.022 5 1.9E-06 3354.69 52 AFH 99 42 0 0 0.033 4 1.8E-06 3354.69 53 AFH 100 43 0 0 0.028 3 1.6E-06 3354.68 54 AFH 101 44 0 0 0.032 2 1.5E-06 3354.68 55 AFH 102 45 0 0 0.02 1 1.1E-06 3354.68 56 AFJ 103 46 0 0 0.021 0 6.4E-07 3354.68 56 FOUND SOLUTION: 3354.68 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.64_Syn10M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 3354.6833663970733141 Max constraint (9) : 1.1102241348481810742e-16 Alternative solution : MIP Alt. objective value : 3354.6842383763150792 Max constraint (7) : 6.3919953173694349176e-07 Time used (seconds) : 1.16 Time limit (seconds) : 7200 Iterations used : 56 Iteration limit : -1 Function evaluations : 1458 Gradient evaluations : 121 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.9 % NLP time usage : 34.4 % MIP time usage : 64.8 % Optimal/total MIPs : 50/56 NLP solver calls : 57 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M03H.gms(1114) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M03H.gms Stop 09/14/12 14:38:21 elapsed 0:00:01.189 @04 1347626301 ----------------------------- Fr 14. Sep 14:38:21 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M03M.gms =========== ----------------------------- Fr 14. Sep 14:38:20 CEST 2012 ----------------------------- @03 1347626300 --- Job Syn10M03M.gms Start 09/14/12 14:38:20 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M03M.gms(783) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn10M03M.gms(781) 3 Mb --- Generating MINLP model m --- Syn10M03M.gms(783) 5 Mb --- 343 rows 166 columns 856 non-zeroes --- 120 nl-code 18 nl-non-zeroes --- 60 discrete-columns --- Syn10M03M.gms(783) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.009 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.65_Syn10M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 856 elements of which 2% are non-linear(NL) included in 343 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 166 variables: Continuous(106), Binary(60), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=45 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 68 0 1.1E-11 17.1202 1 FOUND SOLUTION: 17.1202 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 51 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 4.4E+02 0 2.8E-12 3350.75 7 FOUND SOLUTION: 3350.75 (NLP) in 1 sec. 8 AFH 0 0 0 0 2.7E+02 12 4.5 7692.01 9 AFH 3 1 0 0 22 12 2.6 7680.87 10 AFG 12 2 0 0 2.6E+02 0 1.6E-11 3351.75 10 FOUND SOLUTION: 3351.75 (NLP) in 1 sec. 11 AFH 12 2 0 0 2.1E+02 10 1.3 5049.31 12 AFH 21 3 0 0 1.3E+02 10 2.5 4720.56 13 AFH 24 4 0 0 21 13 0.51 4098.74 14 AFH 34 5 0 0 83 13 0.13 3569.92 15 AFG 42 6 0 0 34 0 2.8E-12 3354.68 15 FOUND SOLUTION: 3354.68 (NLP) in 1 sec. 16 AFH 42 6 0 0 20 12 0.07 3409.86 17 AFH 48 7 0 0 16 12 0.027 3388.05 18 AFH 54 8 0 0 4 12 0.019 3367.48 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 55 9 0 0 1.1 12 0.0085 3364.66 20 AFH 60 10 0 0 3.8 12 0.0048 3359.42 21 AFH 63 11 0 0 0.99 12 0.002 3356.6 22 AFH 69 12 0 0 1 12 0.00096 3355.35 23 AFH 70 13 0 0 0.066 11 0.00096 3355.32 24 AFH 71 14 0 0 0.066 10 0.00096 3355.28 25 AFH 72 15 0 0 0.066 9 0.00074 3355.25 26 AFH 73 16 0 0 0.19 9 0.0005 3355.22 27 AFH 74 17 0 0 0.26 9 0.00046 3355.1 28 AFH 75 18 0 0 0.23 9 0.00041 3355.08 29 AFH 76 19 0 0 0.24 9 0.00038 3354.95 30 AFH 77 20 0 0 0.16 9 0.00029 3354.9 31 AFH 78 21 0 0 0.16 9 0.00019 3354.85 32 AFH 79 22 0 0 0.095 9 0.00012 3354.84 33 AFH 80 23 0 0 0.13 9 0.00012 3354.81 34 AFH 81 24 0 0 0.11 9 0.0001 3354.8 35 AFH 82 25 0 0 0.12 9 9.5E-05 3354.78 36 AFH 83 26 0 0 0.08 9 7.3E-05 3354.76 37 AFH 84 27 0 0 0.077 9 4.7E-05 3354.73 38 AFH 85 28 0 0 0.048 9 3.1E-05 3354.72 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 86 29 0 0 0.066 9 2.9E-05 3354.72 40 AFH 87 30 0 0 0.056 9 2.6E-05 3354.71 41 AFH 88 31 0 0 0.06 9 2.4E-05 3354.7 42 AFH 89 32 0 0 0.04 9 1.8E-05 3354.7 43 AFH 90 33 0 0 0.039 9 1.2E-05 3354.7 44 AFH 91 34 0 0 0.024 9 1E-05 3354.69 45 AFH 92 35 0 0 0.021 8 7.8E-06 3354.69 46 AFH 93 36 0 0 0.033 8 7.1E-06 3354.69 47 AFH 94 37 0 0 0.028 8 6.4E-06 3354.69 48 AFH 95 38 0 0 0.03 7 6E-06 3354.69 49 AFH 96 39 0 0 0.02 7 4.5E-06 3354.69 50 AFH 97 40 0 0 0.019 6 2.6E-06 3354.69 51 AFH 98 41 0 0 0.01 5 1.9E-06 3354.69 52 AFH 99 42 0 0 0.016 4 1.8E-06 3354.68 53 AFH 100 43 0 0 0.014 3 1.6E-06 3354.68 54 AFH 101 44 0 0 0.015 2 1.5E-06 3354.68 55 AFH 102 45 0 0 0.01 1 1.1E-06 3354.68 56 AFJ 103 46 0 0 0.0097 0 6.4E-07 3354.68 56 FOUND SOLUTION: 3354.68 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.65_Syn10M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 3354.6827952298099262 Max constraint (10) : 2.817301947288797237e-12 Alternative solution : MIP Alt. objective value : 3354.6836666784406589 Max constraint (7) : 6.3919897241859757742e-07 Time used (seconds) : 1.08 Time limit (seconds) : 7200 Iterations used : 56 Iteration limit : -1 Function evaluations : 1458 Gradient evaluations : 103 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 35.7 % MIP time usage : 63.5 % Optimal/total MIPs : 50/56 NLP solver calls : 57 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M03M.gms(783) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M03M.gms Stop 09/14/12 14:38:21 elapsed 0:00:01.107 @04 1347626301 ----------------------------- Fr 14. Sep 14:38:21 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M04H.gms =========== ----------------------------- Fr 14. Sep 14:38:21 CEST 2012 ----------------------------- @03 1347626301 --- Job Syn10M04H.gms Start 09/14/12 14:38:21 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M04H.gms(1598) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- Syn10M04H.gms(1596) 3 Mb --- Generating MINLP model m --- Syn10M04H.gms(1598) 5 Mb --- 709 rows 389 columns 1,625 non-zeroes --- 400 nl-code 72 nl-non-zeroes --- 80 discrete-columns --- Syn10M04H.gms(1598) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.66_Syn10M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1625 elements of which 4% are non-linear(NL) included in 709 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 72 from a total of 389 variables: Continuous(309), Binary(80), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=102 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (262) infeasibile 0 H 0 0 0 1 0 24 0.11 NA 1 SAFG 24 1 0 1 1.5E+02 0 4E-13 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJL 24 1 0 1 1.1E+02 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 8.5E+02 0 7.9E-15 4553.13 7 FOUND SOLUTION: 4553.13 (NLP) in 1 sec. 8 AFH 0 0 0 0 5.6E+02 16 4.5 10255.4 9 AFH 4 1 0 0 45 16 2.6 10240.6 10 AFG 16 2 0 0 5.2E+02 0 3.6E-11 4554.13 10 FOUND SOLUTION: 4554.13 (NLP) in 1 sec. 11 AFH 16 2 0 0 4.7E+02 13 1.3 6607.16 12 AFH 28 3 0 0 3.1E+02 13 2.5 6257.96 13 AFH 32 4 0 0 62 17 0.51 5402.42 14 AFH 45 5 0 0 1.8E+02 17 0.13 4803.84 15 AFG 55 6 0 0 79 0 1.1E-16 4557.06 15 FOUND SOLUTION: 4557.06 (NLP) in 1 sec. 16 AFH 55 6 0 0 46 16 0.07 4622.42 17 AFH 62 7 0 0 32 16 0.027 4599.01 18 AFH 70 8 0 0 11 16 0.031 4576.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 72 9 0 0 4.7 16 0.0085 4568.63 20 AFH 79 10 0 0 8.8 16 0.0048 4562.5 21 AFH 82 11 0 0 2.1 16 0.002 4559.68 22 AFH 90 12 0 0 2.6 16 0.00098 4557.98 23 AFH 91 13 0 0 0.42 16 0.00096 4557.91 24 AFH 92 14 0 0 0.099 15 0.00096 4557.88 25 AFH 93 15 0 0 0.099 14 0.00096 4557.84 26 AFH 94 16 0 0 0.099 13 0.00096 4557.81 27 AFH 95 17 0 0 0.099 12 0.00074 4557.78 28 AFH 96 18 0 0 0.4 12 0.0005 4557.74 29 AFH 97 19 0 0 0.53 12 0.00046 4557.63 30 AFH 98 20 0 0 0.46 12 0.00041 4557.61 31 AFH 99 21 0 0 0.51 12 0.00038 4557.47 32 AFH 100 22 0 0 0.31 12 0.00038 4557.43 33 AFH 101 23 0 0 0.31 12 0.00029 4557.36 34 AFH 102 24 0 0 0.33 12 0.00024 4557.31 35 AFH 103 25 0 0 0.21 12 0.00019 4557.28 36 AFH 104 26 0 0 0.2 12 0.00012 4557.26 37 AFH 105 27 0 0 0.26 12 0.00012 4557.23 38 AFH 106 28 0 0 0.23 12 0.0001 4557.22 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 107 29 0 0 0.25 12 9.5E-05 4557.2 40 AFH 108 30 0 0 0.16 12 9.4E-05 4557.18 41 AFH 109 31 0 0 0.15 12 7.3E-05 4557.16 42 AFH 110 32 0 0 0.16 12 6E-05 4557.13 43 AFH 111 33 0 0 0.1 12 4.7E-05 4557.12 44 AFH 112 34 0 0 0.1 12 3.1E-05 4557.11 45 AFH 113 35 0 0 0.13 12 2.9E-05 4557.1 46 AFH 114 36 0 0 0.11 12 2.6E-05 4557.1 47 AFH 115 37 0 0 0.13 12 2.4E-05 4557.09 48 AFH 116 38 0 0 0.08 12 2.4E-05 4557.09 49 AFH 117 39 0 0 0.078 12 1.8E-05 4557.08 50 AFH 118 40 0 0 0.082 12 1.5E-05 4557.08 51 AFH 119 41 0 0 0.051 11 1.2E-05 4557.08 52 AFH 120 42 0 0 0.051 11 1E-05 4557.08 53 AFH 121 43 0 0 0.044 10 7.8E-06 4557.08 54 AFH 122 44 0 0 0.065 10 7.1E-06 4557.07 55 AFH 123 45 0 0 0.056 10 6.4E-06 4557.07 56 AFH 124 46 0 0 0.063 9 6E-06 4557.07 57 AFH 125 47 0 0 0.04 9 5.9E-06 4557.07 58 AFH 126 48 0 0 0.039 9 4.5E-06 4557.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 127 49 0 0 0.041 8 3.7E-06 4557.07 60 AFH 128 50 0 0 0.025 7 2.6E-06 4557.07 61 AFH 129 51 0 0 0.022 6 1.9E-06 4557.07 62 AFH 130 52 0 0 0.033 5 1.8E-06 4557.07 63 AFH 131 53 0 0 0.028 4 1.6E-06 4557.06 64 AFH 132 54 0 0 0.032 3 1.5E-06 4557.06 65 AFH 133 55 0 0 0.02 2 1.5E-06 4557.06 66 AFH 134 56 0 0 0.019 1 1.1E-06 4557.06 67 AFJ 135 57 0 0 0.021 0 9.4E-07 4557.06 67 FOUND SOLUTION: 4557.06 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.66_Syn10M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 4557.063029282714524 Max constraint (10) : 1.1102241348481810742e-16 Alternative solution : MIP Alt. objective value : 4557.0642608126590858 Max constraint (24) : 9.3539697305061646833e-07 Time used (seconds) : 2.10 Time limit (seconds) : 7200 Iterations used : 67 Iteration limit : -1 Function evaluations : 2208 Gradient evaluations : 159 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.6 % NLP time usage : 38.8 % MIP time usage : 60.6 % Optimal/total MIPs : 61/67 NLP solver calls : 68 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M04H.gms(1598) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M04H.gms Stop 09/14/12 14:38:23 elapsed 0:00:02.144 @04 1347626303 ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M04M.gms =========== ----------------------------- Fr 14. Sep 14:38:21 CEST 2012 ----------------------------- @03 1347626301 --- Job Syn10M04M.gms Start 09/14/12 14:38:21 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M04M.gms(1156) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn10M04M.gms(1154) 3 Mb --- Generating MINLP model m --- Syn10M04M.gms(1156) 5 Mb --- 517 rows 221 columns 1,281 non-zeroes --- 160 nl-code 24 nl-non-zeroes --- 80 discrete-columns --- Syn10M04M.gms(1156) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.67_Syn10M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1281 elements of which 2% are non-linear(NL) included in 517 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 24 from a total of 221 variables: Continuous(141), Binary(80), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=66 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 96 0 2.2E-16 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 75 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 5.7E+02 0 2.7E-14 4553.13 7 FOUND SOLUTION: 4553.13 (NLP) in 1 sec. 8 AFH 0 0 0 0 3.6E+02 16 4.5 10255.4 9 AFH 4 1 0 0 30 16 2.6 10240.6 10 AFG 16 2 0 0 3.4E+02 0 5.7E-12 4554.13 10 FOUND SOLUTION: 4554.13 (NLP) in 1 sec. 11 AFH 16 2 0 0 2.9E+02 13 1.3 6607.16 12 AFH 28 3 0 0 1.8E+02 13 2.5 6257.96 13 AFH 32 4 0 0 28 17 0.51 5402.42 14 AFH 45 5 0 0 1.1E+02 17 0.13 4803.84 15 AFG 55 6 0 0 46 0 3.7E-13 4557.06 15 FOUND SOLUTION: 4557.06 (NLP) in 1 sec. 16 AFH 55 6 0 0 26 16 0.07 4622.42 17 AFH 62 7 0 0 19 16 0.027 4599.01 18 AFH 70 8 0 0 5.3 16 0.031 4576.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 72 9 0 0 2.2 16 0.0085 4568.63 20 AFH 79 10 0 0 4.3 16 0.0048 4562.5 21 AFH 82 11 0 0 0.99 16 0.002 4559.68 22 AFH 90 12 0 0 1.3 16 0.00098 4557.98 23 AFH 91 13 0 0 0.2 16 0.00096 4557.91 24 AFH 92 14 0 0 0.066 15 0.00096 4557.88 25 AFH 93 15 0 0 0.066 14 0.00096 4557.84 26 AFH 94 16 0 0 0.066 13 0.00096 4557.81 27 AFH 95 17 0 0 0.066 12 0.00074 4557.78 28 AFH 96 18 0 0 0.19 12 0.0005 4557.74 29 AFH 97 19 0 0 0.26 12 0.00046 4557.62 30 AFH 98 20 0 0 0.23 12 0.00041 4557.61 31 AFH 99 21 0 0 0.24 12 0.00038 4557.47 32 AFH 100 22 0 0 0.16 12 0.00038 4557.43 33 AFH 101 23 0 0 0.16 12 0.00029 4557.36 34 AFH 102 24 0 0 0.16 12 0.00024 4557.31 35 AFH 103 25 0 0 0.096 12 0.00019 4557.28 36 AFH 104 26 0 0 0.095 12 0.00012 4557.26 37 AFH 105 27 0 0 0.13 12 0.00012 4557.23 38 AFH 106 28 0 0 0.11 12 0.0001 4557.22 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 107 29 0 0 0.12 12 9.5E-05 4557.2 40 AFH 108 30 0 0 0.08 12 9.4E-05 4557.18 41 AFH 109 31 0 0 0.077 12 7.3E-05 4557.16 42 AFH 110 32 0 0 0.077 12 6E-05 4557.13 43 AFH 111 33 0 0 0.048 12 4.7E-05 4557.12 44 AFH 112 34 0 0 0.048 12 3.1E-05 4557.11 45 AFH 113 35 0 0 0.066 12 2.9E-05 4557.1 46 AFH 114 36 0 0 0.056 12 2.6E-05 4557.1 47 AFH 115 37 0 0 0.06 12 2.4E-05 4557.09 48 AFH 116 38 0 0 0.04 12 2.4E-05 4557.08 49 AFH 117 39 0 0 0.039 12 1.8E-05 4557.08 50 AFH 118 40 0 0 0.039 12 1.5E-05 4557.08 51 AFH 119 41 0 0 0.024 11 1.2E-05 4557.08 52 AFH 120 42 0 0 0.024 11 1E-05 4557.08 53 AFH 121 43 0 0 0.021 10 7.8E-06 4557.07 54 AFH 122 44 0 0 0.033 10 7.1E-06 4557.07 55 AFH 123 45 0 0 0.028 10 6.4E-06 4557.07 56 AFH 124 46 0 0 0.03 9 6E-06 4557.07 57 AFH 125 47 0 0 0.02 9 5.9E-06 4557.07 58 AFH 126 48 0 0 0.019 9 4.5E-06 4557.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 127 49 0 0 0.019 8 3.7E-06 4557.07 60 AFH 128 50 0 0 0.012 7 2.6E-06 4557.07 61 AFH 129 51 0 0 0.01 6 1.9E-06 4557.06 62 AFH 130 52 0 0 0.016 5 1.8E-06 4557.06 63 AFH 131 53 0 0 0.014 4 1.6E-06 4557.06 64 AFH 132 54 0 0 0.015 3 1.5E-06 4557.06 65 AFH 133 55 0 0 0.01 2 1.5E-06 4557.06 66 AFH 134 56 0 0 0.0097 1 1.1E-06 4557.06 67 AFJ 135 57 0 0 0.0097 0 9.4E-07 4557.06 67 FOUND SOLUTION: 4557.06 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.67_Syn10M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 4557.0623378703112394 Max constraint (13) : 3.6504133049675147049e-13 Alternative solution : MIP Alt. objective value : 4557.0635688804277379 Max constraint (24) : 9.3539685086518886692e-07 Time used (seconds) : 1.91 Time limit (seconds) : 7200 Iterations used : 67 Iteration limit : -1 Function evaluations : 2208 Gradient evaluations : 135 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 31.3 % MIP time usage : 68.3 % Optimal/total MIPs : 61/67 NLP solver calls : 68 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M04M.gms(1156) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn10M04M.gms Stop 09/14/12 14:38:23 elapsed 0:00:01.945 @04 1347626303 ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn10M.gms =========== ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- @03 1347626303 --- Job Syn10M.gms Start 09/14/12 14:38:23 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn10M.gms(302) 3 Mb --- Starting execution: elapsed 0:00:00.004 --- Syn10M.gms(298) 4 Mb --- Generating MINLP model RETRO_8_SYNTH_10_MULTI_BIGM --- Syn10M.gms(302) 6 Mb --- 55 rows 36 columns 155 non-zeroes --- 40 nl-code 6 nl-non-zeroes --- 10 discrete-columns --- Syn10M.gms(302) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.006 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.68_Syn10M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 155 elements of which 4% are non-linear(NL) included in 55 constraints of which 11% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 6 from a total of 36 variables: Continuous(26), Binary(10), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 40 0 2.2E-16 341.565 1 FOUND SOLUTION: 341.565 (NLP) in 1 sec. 2 SAFH 0 0 0 1 35 3 1.4 751.257 3 SAFG 3 1 0 1 56 0 1.8E-07 1252.35 3 FOUND SOLUTION: 1252.35 (NLP) in 1 sec. 4 SAFH 3 1 0 1 23 2 2.9 1474.25 5 SAFG 5 2 0 1 25 0 0 1267.35 5 FOUND SOLUTION: 1267.35 (NLP) in 1 sec. 6 SAFJ 5 2 0 1 1.8E-14 0 6.7E-16 1267.35 7 SAFJ 5 2 0 0.5 0 0 6.7E-16 1267.35 8 SAFJ 5 2 0 0.3 0 0 6.7E-16 1267.35 9 SAFJ 5 2 0 0.2 0 0 6.7E-16 1267.35 10 SAFJ 5 2 0 0.1 0 0 6.7E-16 1267.35 11 AFJ 5 2 0 0 1.8E-14 0 0 1267.35 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.68_Syn10M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1267.3535500016880633 Max constraint (2) : -2.2204460492503130808e-16 Alternative solution : MIP Alt. objective value : 1267.3535500016880633 Max constraint (2) : -2.2204460492503130808e-16 Time used (seconds) : 0.14 Time limit (seconds) : 7200 Iterations used : 11 Iteration limit : -1 Function evaluations : 282 Gradient evaluations : 5 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 2.1 % NLP time usage : 36.4 % MIP time usage : 61.4 % Optimal/total MIPs : 1/11 NLP solver calls : 12 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn10M.gms(302) 2 Mb --- Reading solution for model RETRO_8_SYNTH_10_MULTI_BIGM *** Status: Normal completion --- Job Syn10M.gms Stop 09/14/12 14:38:23 elapsed 0:00:00.166 @04 1347626303 ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20H.gms =========== ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- @03 1347626303 --- Job Syn20H.gms Start 09/14/12 14:38:23 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20H.gms(560) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn20H.gms(558) 3 Mb --- Generating MINLP model m --- Syn20H.gms(560) 5 Mb --- 234 rows 152 columns 534 non-zeroes --- 235 nl-code 42 nl-non-zeroes --- 20 discrete-columns --- Syn20H.gms(560) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.69_Syn20H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 534 elements of which 8% are non-linear(NL) included in 234 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 40 from a total of 152 variables: Continuous(132), Binary(20), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=37 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (148) infeasibile 0 H 0 0 0 1 0 14 0.11 NA 1 SAFG 14 1 0 1 89 0 2.2E-16 607.918 1 FOUND SOLUTION: 607.918 (NLP) in 1 sec. 2 SAFH 14 1 0 1 80 9 2.4 2823.46 3 SAFH 18 2 0 1 24 6 1.2 1577.46 4 SAFH 23 3 0 1 33 3 2.9 258.51 5 SAFH 24 4 0 1 30 2 1 258.51 6 SAFJL 26 5 0 1 12 0 0 6.38737 7 SAFG 12 4 0 0.5 55 0 9.9E-13 924.263 7 FOUND SOLUTION: 924.263 (NLP) in 1 sec. 8 SAFH 12 4 0 0.5 46 7 1.7 2221.48 9 SAFH 15 5 0 0.5 50 8 1.1 1372.1 10 SAFH 17 6 0 0.5 35 7 0.36 1282.41 11 SAFH 22 7 0 0.5 30 5 0.11 1106.39 12 SAFH 25 8 0 0.5 23 8 0.079 1002.2 13 SAFH 27 9 0 0.5 5.8 8 0.045 972.659 14 SAFH 29 10 0 0.5 7 8 0.022 951.943 15 SAFH 34 11 0 0.5 18 6 0.006 934.768 16 SAFH 38 12 0 0.5 3.3 6 0.013 926.791 17 SAFH 39 13 0 0.5 16 8 0.0032 926.024 18 SAFH 41 14 0 0.5 15 6 0.001 925.669 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 42 15 0 0.5 0.19 6 0.00084 925.374 20 SAFH 43 16 0 0.5 15 8 0.00078 925.14 21 SAFH 44 17 0 0.5 0.33 8 0.00066 924.969 22 SAFH 45 18 0 0.5 15 6 0.00073 924.872 23 SAFH 46 19 0 0.5 0.0096 5 0.00044 924.687 24 SAFH 47 20 0 0.5 14 7 0.00025 924.514 25 SAFH 48 21 0 0.5 14 5 0.00016 924.481 26 SAFH 49 22 0 0.5 0.4 6 0.00014 924.459 27 SAFH 50 23 0 0.5 0.0019 5 0.00011 924.423 28 SAFH 51 24 0 0.5 0.13 5 0.00019 924.351 29 SAFH 52 25 0 0.5 0.16 5 6.3E-05 924.342 30 SAFH 53 26 0 0.5 0.047 5 4.8E-05 924.32 31 SAFH 54 27 0 0.5 0.084 5 4.1E-05 924.309 32 SAFH 55 28 0 0.5 0.2 6 3.3E-05 924.298 33 SAFH 56 29 0 0.5 0.00043 5 2.8E-05 924.289 34 SAFH 57 30 0 0.5 0.038 4 1.2E-05 924.277 35 SAFH 58 31 0 0.5 0.042 4 1E-05 924.274 36 SAFH 59 32 0 0.5 0.098 5 8.2E-06 924.274 37 SAFH 60 33 0 0.5 0.0016 4 7E-06 924.272 38 SAFH 61 34 0 0.5 0.019 5 4.5E-06 924.268 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 62 35 0 0.5 0.013 4 3E-06 924.267 40 SAFH 63 36 0 0.5 0.021 4 2.6E-06 924.267 41 SAFH 64 37 0 0.5 0.05 3 2E-06 924.265 42 SAFH 65 38 0 0.5 0.024 2 1.1E-06 924.265 43 SAFJ 66 39 0 0.5 0.0063 0 8E-07 924.265 43 FOUND SOLUTION: 924.265 in 1 sec. 44 SAFJ 66 39 0 0.3 0 0 8E-07 924.265 45 SAFJ 66 39 0 0.2 0 0 8E-07 924.265 46 SAFJ 66 39 0 0.1 0 0 8E-07 924.265 47 AFJ 66 39 0 0 0 0 8E-07 924.265 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.69_Syn20H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 924.26342449981495974 Max constraint (14) : 9.9276242138124343943e-13 Alternative solution : MIP Alt. objective value : 924.26454136866004774 Max constraint (6) : 8.000773226655885124e-07 Time used (seconds) : 0.85 Time limit (seconds) : 7200 Iterations used : 47 Iteration limit : -1 Function evaluations : 1974 Gradient evaluations : 80 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 1.1 % NLP time usage : 36.0 % MIP time usage : 63.0 % Optimal/total MIPs : 1/47 NLP solver calls : 48 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20H.gms(560) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20H.gms Stop 09/14/12 14:38:24 elapsed 0:00:00.880 @04 1347626304 ----------------------------- Fr 14. Sep 14:38:24 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M02H.gms =========== ----------------------------- Fr 14. Sep 14:38:23 CEST 2012 ----------------------------- @03 1347626304 --- Job Syn20M02H.gms Start 09/14/12 14:38:24 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M02H.gms(1391) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- Syn20M02H.gms(1389) 3 Mb --- Generating MINLP model m --- Syn20M02H.gms(1391) 5 Mb --- 607 rows 383 columns 1,375 non-zeroes --- 470 nl-code 84 nl-non-zeroes --- 80 discrete-columns --- Syn20M02H.gms(1391) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.020 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.70_Syn20M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1375 elements of which 6% are non-linear(NL) included in 607 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 80 from a total of 383 variables: Continuous(303), Binary(80), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=91 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (294) infeasibile 0 H 0 0 0 1 0 28 0.11 NA 1 SAFG 28 1 0 1 93 0 1.3E-13 13.0731 1 FOUND SOLUTION: 13.0731 (NLP) in 1 sec. 2 SAFJL 28 1 0 1 55 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 5.4E+02 0 8.3E-17 1702.4 7 FOUND SOLUTION: 1702.4 (NLP) in 1 sec. 8 AFH 0 0 0 0 3E+02 18 4.5 4882.88 9 AFH 6 1 0 0 46 20 2.6 4611.36 10 AFG 10 2 0 0 3.1E+02 0 2.5E-13 1716.4 10 FOUND SOLUTION: 1716.4 (NLP) in 1 sec. 11 AFH 10 2 0 0 2E+02 18 1.3 4282.84 12 AFH 22 3 0 0 1.4E+02 20 3 3768.41 13 AFG 26 4 0 0 1.6E+02 0 8.6E-13 1720.4 13 FOUND SOLUTION: 1720.4 (NLP) in 1 sec. 14 AFH 26 4 0 0 1.5E+02 13 1.6 2491.18 15 AFG 30 5 0 0 1.7E+02 0 1.9E-14 1735.13 15 FOUND SOLUTION: 1735.13 (NLP) in 1 sec. 16 AFH 30 5 0 0 83 8 0.57 2053.9 17 AFG 34 6 0 0 1.1E+02 0 8.7E-14 1752.13 17 FOUND SOLUTION: 1752.13 (NLP) in 1 sec. 18 AFH 34 6 0 0 24 6 0.24 1914.75 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 38 7 0 0 13 7 0.049 1800.53 20 AFH 44 8 0 0 21 7 0.036 1761.24 21 AFH 45 9 0 0 7.3 6 0.013 1759.32 22 AFH 48 10 0 0 2.3 6 0.0031 1753.36 23 AFH 50 11 0 0 1.1 5 0.00096 1752.56 24 AFH 51 12 0 0 0.099 4 0.00096 1752.53 25 AFH 52 13 0 0 0.099 3 0.00077 1752.5 26 AFH 53 14 0 0 0.3 4 0.00062 1752.38 27 AFH 54 15 0 0 0.25 4 0.00057 1752.22 28 AFH 55 16 0 0 0.31 4 0.00019 1752.22 29 AFH 56 17 0 0 0.15 4 0.00014 1752.19 30 AFH 57 18 0 0 0.15 4 0.00011 1752.19 31 AFH 58 19 0 0 0.00092 3 4.8E-05 1752.16 32 AFH 59 20 0 0 0.076 3 4.9E-05 1752.16 33 AFH 60 21 0 0 0.11 3 3.5E-05 1752.15 34 AFH 61 22 0 0 0.075 4 1.5E-05 1752.14 35 AFH 62 23 0 0 0.038 4 1.2E-05 1752.14 36 AFH 63 24 0 0 0.044 4 1.2E-05 1752.14 37 AFH 64 25 0 0 0.038 3 3.8E-06 1752.14 38 AFH 65 26 0 0 0.019 2 4.9E-06 1752.14 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 66 27 0 0 0.028 2 3E-06 1752.13 40 AFH 67 28 0 0 0.019 1 1.2E-06 1752.13 41 AFJ 68 29 0 0 0.014 0 7.5E-07 1752.13 41 FOUND SOLUTION: 1752.13 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.70_Syn20M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1752.1334579662213855 Max constraint (13) : 8.7208105792324618637e-14 Alternative solution : MIP Alt. objective value : 1752.1336629128813911 Max constraint (13) : 7.5153030073287168292e-07 Time used (seconds) : 1.19 Time limit (seconds) : 7200 Iterations used : 41 Iteration limit : -1 Function evaluations : 1904 Gradient evaluations : 96 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 43.7 % MIP time usage : 55.5 % Optimal/total MIPs : 35/41 NLP solver calls : 42 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M02H.gms(1391) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M02H.gms Stop 09/14/12 14:38:25 elapsed 0:00:01.231 @04 1347626305 ----------------------------- Fr 14. Sep 14:38:25 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M02M.gms =========== ----------------------------- Fr 14. Sep 14:38:24 CEST 2012 ----------------------------- @03 1347626304 --- Job Syn20M02M.gms Start 09/14/12 14:38:24 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M02M.gms(926) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn20M02M.gms(924) 3 Mb --- Generating MINLP model m --- Syn20M02M.gms(926) 5 Mb --- 407 rows 211 columns 1,011 non-zeroes --- 190 nl-code 28 nl-non-zeroes --- 80 discrete-columns --- Syn20M02M.gms(926) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.009 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.71_Syn20M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1011 elements of which 3% are non-linear(NL) included in 407 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 28 from a total of 211 variables: Continuous(131), Binary(80), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=54 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 58 0 1.3E-13 13.073 1 FOUND SOLUTION: 13.073 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 38 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 3.9E+02 0 1.1E-10 1702.4 7 FOUND SOLUTION: 1702.4 (NLP) in 1 sec. 8 AFH 0 0 0 0 1.9E+02 18 4.5 4882.88 9 AFH 6 1 0 0 28 20 2.6 4611.36 10 AFG 10 2 0 0 2E+02 0 0 1716.4 10 FOUND SOLUTION: 1716.4 (NLP) in 1 sec. 11 AFH 10 2 0 0 1.3E+02 18 1.3 4282.84 12 AFH 22 3 0 0 82 20 3 3768.41 13 AFG 26 4 0 0 91 0 0 1720.4 13 FOUND SOLUTION: 1720.4 (NLP) in 1 sec. 14 AFH 26 4 0 0 82 13 1.6 2491.18 15 AFG 30 5 0 0 1.1E+02 0 0 1735.13 15 FOUND SOLUTION: 1735.13 (NLP) in 1 sec. 16 AFH 30 5 0 0 52 8 0.57 2053.9 17 AFG 34 6 0 0 78 0 6.7E-16 1752.13 17 FOUND SOLUTION: 1752.13 (NLP) in 1 sec. 18 AFH 34 6 0 0 14 6 0.24 1914.75 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 38 7 0 0 6.5 7 0.049 1800.53 20 AFH 44 8 0 0 14 7 0.036 1761.24 21 AFH 45 9 0 0 6.1 6 0.013 1759.32 22 AFH 48 10 0 0 1.1 6 0.0031 1753.36 23 AFH 50 11 0 0 0.57 5 0.00096 1752.56 24 AFH 51 12 0 0 0.066 4 0.00096 1752.53 25 AFH 52 13 0 0 0.066 3 0.00077 1752.5 26 AFH 53 14 0 0 0.15 4 0.00062 1752.38 27 AFH 54 15 0 0 0.12 4 0.00057 1752.22 28 AFH 55 16 0 0 0.16 4 0.00019 1752.22 29 AFH 56 17 0 0 0.077 4 0.00014 1752.19 30 AFH 57 18 0 0 0.076 4 0.00011 1752.19 31 AFH 58 19 0 0 0.00046 3 4.8E-05 1752.16 32 AFH 59 20 0 0 0.038 3 4.9E-05 1752.16 33 AFH 60 21 0 0 0.054 3 3.5E-05 1752.15 34 AFH 61 22 0 0 0.038 4 1.5E-05 1752.14 35 AFH 62 23 0 0 0.019 4 1.2E-05 1752.14 36 AFH 63 24 0 0 0.022 4 1.2E-05 1752.14 37 AFH 64 25 0 0 0.019 3 3.8E-06 1752.14 38 AFH 65 26 0 0 0.0096 2 4.9E-06 1752.14 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 66 27 0 0 0.014 2 3E-06 1752.13 40 AFH 67 28 0 0 0.0095 1 1.2E-06 1752.13 41 AFJ 68 29 0 0 0.007 0 7.5E-07 1752.13 41 FOUND SOLUTION: 1752.13 in 1 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.71_Syn20M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 1752.1332028543799879 Max constraint (14) : 6.6613381477509392425e-16 Alternative solution : MIP Alt. objective value : 1752.1334057862266036 Max constraint (13) : 7.5153028822327883063e-07 Time used (seconds) : 0.97 Time limit (seconds) : 7200 Iterations used : 41 Iteration limit : -1 Function evaluations : 1904 Gradient evaluations : 68 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 35.9 % MIP time usage : 63.6 % Optimal/total MIPs : 35/41 NLP solver calls : 42 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M02M.gms(926) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M02M.gms Stop 09/14/12 14:38:25 elapsed 0:00:01.000 @04 1347626305 ----------------------------- Fr 14. Sep 14:38:25 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M03H.gms =========== ----------------------------- Fr 14. Sep 14:38:25 CEST 2012 ----------------------------- @03 1347626305 --- Job Syn20M03H.gms Start 09/14/12 14:38:25 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M03H.gms(2254) 2 Mb --- Starting execution: elapsed 0:00:00.017 --- Syn20M03H.gms(2252) 3 Mb --- Generating MINLP model m --- Syn20M03H.gms(2254) 6 Mb --- 1,000 rows 574 columns 2,272 non-zeroes --- 705 nl-code 126 nl-non-zeroes --- 120 discrete-columns --- Syn20M03H.gms(2254) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.029 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.72_Syn20M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2272 elements of which 6% are non-linear(NL) included in 1000 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(42) The number of variables in NL elements are 120 from a total of 574 variables: Continuous(454), Binary(120), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=146 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (440) infeasibile 0 H 0 0 0 1 0 42 0.11 NA 1 SAFG 42 1 0 1 1.3E+02 0 1.1E-11 17.1203 1 FOUND SOLUTION: 17.1203 (NLP) in 1 sec. 2 SAFJL 42 1 0 1 73 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 7.6E+02 0 4E-12 2597.22 7 FOUND SOLUTION: 2597.22 (NLP) in 1 sec. 8 AFH 0 0 0 0 4.5E+02 27 4.5 7683.68 9 AFH 9 1 0 0 69 30 2.6 7224.65 10 AFG 15 2 0 0 4.5E+02 0 4.1E-11 2611.22 10 FOUND SOLUTION: 2611.22 (NLP) in 1 sec. 11 AFH 15 2 0 0 3E+02 27 1.3 6539.03 12 AFH 33 3 0 0 2.1E+02 30 3 5789.45 13 AFG 39 4 0 0 2.4E+02 0 5.8E-11 2615.22 13 FOUND SOLUTION: 2615.22 (NLP) in 1 sec. 14 AFH 39 4 0 0 2.2E+02 20 1.6 3837.58 15 AFG 45 5 0 0 2.5E+02 0 2.8E-12 2629.95 15 FOUND SOLUTION: 2629.95 (NLP) in 1 sec. 16 AFH 45 5 0 0 1.2E+02 12 0.57 3137.81 17 AFG 51 6 0 0 1.5E+02 0 2.3E-11 2646.95 17 FOUND SOLUTION: 2646.95 (NLP) in 1 sec. 18 AFH 51 6 0 0 36 9 0.24 2909.14 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 57 7 0 0 20 11 0.049 2724.74 20 AFH 66 8 0 0 30 11 0.038 2658.99 21 AFH 68 9 0 0 11 10 0.013 2656.69 22 AFH 73 10 0 0 3 10 0.0031 2649.27 23 AFH 77 11 0 0 1.6 9 0.00096 2647.69 24 AFH 78 12 0 0 0.099 8 0.00096 2647.66 25 AFH 79 13 0 0 0.099 7 0.00096 2647.63 26 AFH 80 14 0 0 0.099 6 0.00077 2647.59 27 AFH 81 15 0 0 0.3 7 0.00062 2647.48 28 AFH 82 16 0 0 0.25 7 0.00057 2647.32 29 AFH 83 17 0 0 0.31 7 0.00057 2647.32 30 AFH 84 18 0 0 0.36 6 0.0005 2647.19 31 AFH 85 19 0 0 0.26 7 0.00019 2647.15 32 AFH 86 20 0 0 0.15 7 0.00015 2647.12 33 AFH 87 21 0 0 0.0014 6 0.00014 2647.09 34 AFH 88 22 0 0 0.15 6 0.00014 2647.08 35 AFH 89 23 0 0 0.18 7 0.00012 2647.07 36 AFH 90 24 0 0 0.05 7 0.00011 2647.04 37 AFH 91 25 0 0 0.00092 6 4.8E-05 2647.01 38 AFH 92 26 0 0 0.076 6 4.9E-05 2647 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 93 27 0 0 0.11 6 3.8E-05 2646.99 40 AFH 94 28 0 0 0.068 6 3.5E-05 2646.98 41 AFH 95 29 0 0 0.0045 5 3.5E-05 2646.97 42 AFH 96 30 0 0 0.075 6 3.1E-05 2646.96 43 AFH 97 31 0 0 0.03 7 1.5E-05 2646.96 44 AFH 98 32 0 0 0.038 7 1.2E-05 2646.96 45 AFH 99 33 0 0 0.044 7 1.2E-05 2646.96 46 AFH 100 34 0 0 0.038 6 9.5E-06 2646.95 47 AFH 101 35 0 0 0.033 5 7.8E-06 2646.95 48 AFH 102 36 0 0 0.015 6 3.8E-06 2646.95 49 AFH 103 37 0 0 0.019 5 4.9E-06 2646.95 50 AFH 104 38 0 0 0.028 5 3E-06 2646.95 51 AFH 105 39 0 0 0.019 4 2.8E-06 2646.95 52 AFH 106 40 0 0 0.025 2 1.9E-06 2646.95 53 AFH 107 41 0 0 0.016 1 1.2E-06 2646.95 54 AFJ 108 42 0 0 0.014 0 7.5E-07 2646.95 54 FOUND SOLUTION: 2646.95 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.72_Syn20M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2646.9513031039614361 Max constraint (19) : 2.3172376097724265415e-11 Alternative solution : MIP Alt. objective value : 2646.9519842103431984 Max constraint (19) : 7.5153030073287168292e-07 Time used (seconds) : 2.18 Time limit (seconds) : 7200 Iterations used : 54 Iteration limit : -1 Function evaluations : 3402 Gradient evaluations : 150 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 43.6 % MIP time usage : 55.9 % Optimal/total MIPs : 48/54 NLP solver calls : 55 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M03H.gms(2254) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M03H.gms Stop 09/14/12 14:38:27 elapsed 0:00:02.237 @04 1347626307 ----------------------------- Fr 14. Sep 14:38:27 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M03M.gms =========== ----------------------------- Fr 14. Sep 14:38:26 CEST 2012 ----------------------------- @03 1347626306 --- Job Syn20M03M.gms Start 09/14/12 14:38:26 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M03M.gms(1557) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- Syn20M03M.gms(1555) 3 Mb --- Generating MINLP model m --- Syn20M03M.gms(1557) 5 Mb --- 700 rows 316 columns 1,726 non-zeroes --- 285 nl-code 42 nl-non-zeroes --- 120 discrete-columns --- Syn20M03M.gms(1557) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.013 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.73_Syn20M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1726 elements of which 2% are non-linear(NL) included in 700 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(42) The number of variables in NL elements are 42 from a total of 316 variables: Continuous(196), Binary(120), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=90 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 78 0 1.1E-11 17.1202 1 FOUND SOLUTION: 17.1202 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 51 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 5.3E+02 0 2.2E-16 2597.22 7 FOUND SOLUTION: 2597.22 (NLP) in 1 sec. 8 AFH 0 0 0 0 2.8E+02 27 4.5 7683.68 9 AFH 9 1 0 0 42 30 2.6 7224.65 10 AFG 15 2 0 0 3E+02 0 2.2E-16 2611.22 10 FOUND SOLUTION: 2611.22 (NLP) in 1 sec. 11 AFH 15 2 0 0 1.9E+02 27 1.3 6539.03 12 AFH 33 3 0 0 1.2E+02 30 3 5789.45 13 AFG 39 4 0 0 1.4E+02 0 1.3E-12 2615.22 13 FOUND SOLUTION: 2615.22 (NLP) in 1 sec. 14 AFH 39 4 0 0 1.2E+02 20 1.6 3837.58 15 AFG 45 5 0 0 1.6E+02 0 1.4E-13 2629.95 15 FOUND SOLUTION: 2629.95 (NLP) in 1 sec. 16 AFH 45 5 0 0 79 12 0.57 3137.81 17 AFG 51 6 0 0 1.2E+02 0 1.1E-10 2646.95 17 FOUND SOLUTION: 2646.95 (NLP) in 1 sec. 18 AFH 51 6 0 0 21 9 0.24 2909.13 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 57 7 0 0 9.8 11 0.049 2724.74 20 AFH 66 8 0 0 29 11 0.038 2658.99 21 AFH 68 9 0 0 16 10 0.013 2656.69 22 AFH 73 10 0 0 1.5 10 0.0031 2649.27 23 AFH 77 11 0 0 0.79 9 0.00096 2647.69 24 AFH 78 12 0 0 0.066 8 0.00096 2647.66 25 AFH 79 13 0 0 0.066 7 0.00096 2647.63 26 AFH 80 14 0 0 0.066 6 0.00077 2647.59 27 AFH 81 15 0 0 0.15 7 0.00062 2647.48 28 AFH 82 16 0 0 0.12 7 0.00057 2647.32 29 AFH 83 17 0 0 0.16 7 0.00057 2647.32 30 AFH 84 18 0 0 0.18 6 0.0005 2647.19 31 AFH 85 19 0 0 0.13 7 0.00019 2647.15 32 AFH 86 20 0 0 0.077 7 0.00015 2647.12 33 AFH 87 21 0 0 0.00069 6 0.00014 2647.09 34 AFH 88 22 0 0 0.076 6 0.00014 2647.08 35 AFH 89 23 0 0 0.088 7 0.00012 2647.06 36 AFH 90 24 0 0 0.025 7 0.00011 2647.03 37 AFH 91 25 0 0 0.00046 6 4.8E-05 2647.01 38 AFH 92 26 0 0 0.038 6 4.9E-05 2647 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 93 27 0 0 0.054 6 3.8E-05 2646.99 40 AFH 94 28 0 0 0.034 6 3.5E-05 2646.98 41 AFH 95 29 0 0 0.0023 5 3.5E-05 2646.97 42 AFH 96 30 0 0 0.038 6 3.1E-05 2646.96 43 AFH 97 31 0 0 0.015 7 1.5E-05 2646.96 44 AFH 98 32 0 0 0.019 7 1.2E-05 2646.96 45 AFH 99 33 0 0 0.022 7 1.2E-05 2646.96 46 AFH 100 34 0 0 0.019 6 9.5E-06 2646.95 47 AFH 101 35 0 0 0.016 5 7.8E-06 2646.95 48 AFH 102 36 0 0 0.0074 6 3.8E-06 2646.95 49 AFH 103 37 0 0 0.0096 5 4.9E-06 2646.95 50 AFH 104 38 0 0 0.014 5 3E-06 2646.95 51 AFH 105 39 0 0 0.0095 4 2.8E-06 2646.95 52 AFH 106 40 0 0 0.013 2 1.9E-06 2646.95 53 AFH 107 41 0 0 0.008 1 1.2E-06 2646.95 54 AFJ 108 42 0 0 0.007 0 7.5E-07 2646.95 54 FOUND SOLUTION: 2646.95 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.73_Syn20M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 2646.9509168863819468 Max constraint (42) : 1.1308487479766426986e-10 Alternative solution : MIP Alt. objective value : 2646.9515960256626386 Max constraint (19) : 7.5153028822327883063e-07 Time used (seconds) : 1.50 Time limit (seconds) : 7200 Iterations used : 54 Iteration limit : -1 Function evaluations : 3402 Gradient evaluations : 108 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 41.5 % MIP time usage : 58.0 % Optimal/total MIPs : 48/54 NLP solver calls : 55 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M03M.gms(1557) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M03M.gms Stop 09/14/12 14:38:27 elapsed 0:00:01.536 @04 1347626307 ----------------------------- Fr 14. Sep 14:38:27 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M04H.gms =========== ----------------------------- Fr 14. Sep 14:38:27 CEST 2012 ----------------------------- @03 1347626307 --- Job Syn20M04H.gms Start 09/14/12 14:38:27 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M04H.gms(3250) 2 Mb --- Starting execution: elapsed 0:00:00.023 --- Syn20M04H.gms(3248) 3 Mb --- Generating MINLP model m --- Syn20M04H.gms(3250) 6 Mb --- 1,453 rows 765 columns 3,309 non-zeroes --- 940 nl-code 168 nl-non-zeroes --- 160 discrete-columns --- Syn20M04H.gms(3250) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.039 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.74_Syn20M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3309 elements of which 5% are non-linear(NL) included in 1453 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 160 from a total of 765 variables: Continuous(605), Binary(160), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=206 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (586) infeasibile 0 H 0 0 0 1 0 56 0.11 NA 1 SAFG 56 1 0 1 1.8E+02 0 4E-13 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJL 56 1 0 1 1.1E+02 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 9.8E+02 0 1.1E-16 3483.01 7 FOUND SOLUTION: 3483.01 (NLP) in 1 sec. 8 AFH 0 0 0 0 6E+02 36 4.5 10429.2 9 AFH 12 1 0 0 92 40 2.6 9805.9 10 AFG 20 2 0 0 6E+02 0 2.5E-16 3497.01 10 FOUND SOLUTION: 3497.01 (NLP) in 1 sec. 11 AFH 20 2 0 0 4.1E+02 36 1.3 8779.7 12 AFH 44 3 0 0 2.8E+02 40 3 7791.53 13 AFG 52 4 0 0 3.1E+02 0 3.9E-16 3501.01 13 FOUND SOLUTION: 3501.01 (NLP) in 2 sec. 14 AFH 52 4 0 0 2.9E+02 27 1.6 5204.45 15 AFG 60 5 0 0 3.3E+02 0 2.2E-11 3515.74 15 FOUND SOLUTION: 3515.74 (NLP) in 2 sec. 16 AFH 60 5 0 0 1.6E+02 16 0.57 4226.27 17 AFG 68 6 0 0 2E+02 0 3.5E-11 3532.74 17 FOUND SOLUTION: 3532.74 (NLP) in 2 sec. 18 AFH 68 6 0 0 48 12 0.24 3908.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 76 7 0 0 26 15 0.049 3640.84 20 AFH 88 8 0 0 46 14 0.038 3545.83 21 AFH 90 9 0 0 20 13 0.013 3543.53 22 AFH 96 10 0 0 4.4 13 0.0031 3535.54 23 AFH 101 11 0 0 2.2 11 0.00096 3533.7 24 AFH 102 12 0 0 0.099 10 0.00096 3533.67 25 AFH 103 13 0 0 0.099 9 0.00096 3533.63 26 AFH 104 14 0 0 0.099 8 0.00096 3533.6 27 AFH 105 15 0 0 0.099 7 0.00077 3533.57 28 AFH 106 16 0 0 0.3 8 0.00077 3533.46 29 AFH 107 17 0 0 0.3 9 0.00062 3533.33 30 AFH 108 18 0 0 0.25 9 0.00057 3533.17 31 AFH 109 19 0 0 0.31 9 0.00057 3533.17 32 AFH 110 20 0 0 0.36 8 0.0005 3533.04 33 AFH 111 21 0 0 0.26 9 0.00019 3533 34 AFH 112 22 0 0 0.15 9 0.00019 3532.97 35 AFH 113 23 0 0 0.15 9 0.00015 3532.94 36 AFH 114 24 0 0 0.0014 8 0.00014 3532.9 37 AFH 115 25 0 0 0.15 8 0.00014 3532.9 38 AFH 116 26 0 0 0.18 9 0.00012 3532.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 117 27 0 0 0.05 9 0.00011 3532.85 40 AFH 118 28 0 0 0.00092 8 4.8E-05 3532.82 41 AFH 119 29 0 0 0.076 8 4.9E-05 3532.81 42 AFH 120 30 0 0 0.11 8 4.8E-05 3532.81 43 AFH 121 31 0 0 0.075 8 6.2E-05 3532.8 44 AFH 122 32 0 0 0.12 8 3.8E-05 3532.79 45 AFH 123 33 0 0 0.068 8 3.5E-05 3532.79 46 AFH 124 34 0 0 0.0045 7 3.5E-05 3532.77 47 AFH 125 35 0 0 0.075 8 3.1E-05 3532.76 48 AFH 126 36 0 0 0.03 9 1.5E-05 3532.76 49 AFH 127 37 0 0 0.032 9 1.5E-05 3532.76 50 AFH 128 38 0 0 0.038 9 1.2E-05 3532.75 51 AFH 129 39 0 0 0.044 9 1.2E-05 3532.75 52 AFH 130 40 0 0 0.038 8 1.2E-05 3532.75 53 AFH 131 41 0 0 0.038 7 9.5E-06 3532.75 54 AFH 132 42 0 0 0.033 6 7.8E-06 3532.75 55 AFH 133 43 0 0 0.015 7 3.8E-06 3532.75 56 AFH 134 44 0 0 0.019 6 4.9E-06 3532.75 57 AFH 135 45 0 0 0.028 6 3E-06 3532.75 58 AFH 136 46 0 0 0.019 5 3E-06 3532.75 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 137 47 0 0 0.019 4 2.8E-06 3532.75 60 AFH 138 48 0 0 0.025 2 1.9E-06 3532.75 61 AFH 139 49 0 0 0.016 1 1.2E-06 3532.75 62 AFJ 140 50 0 0 0.014 0 7.5E-07 3532.75 62 FOUND SOLUTION: 3532.75 in 4 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.74_Syn20M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 3532.7444583500669069 Max constraint (27) : 3.5349869520806537641e-11 Alternative solution : MIP Alt. objective value : 3532.7451784789977864 Max constraint (25) : 7.5153030073287168292e-07 Time used (seconds) : 3.03 Time limit (seconds) : 7200 Iterations used : 62 Iteration limit : -1 Function evaluations : 4984 Gradient evaluations : 196 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.8 % NLP time usage : 44.2 % MIP time usage : 55.0 % Optimal/total MIPs : 56/62 NLP solver calls : 63 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M04H.gms(3250) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M04H.gms Stop 09/14/12 14:38:30 elapsed 0:00:03.098 @04 1347626310 ----------------------------- Fr 14. Sep 14:38:30 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M04M.gms =========== ----------------------------- Fr 14. Sep 14:38:27 CEST 2012 ----------------------------- @03 1347626307 --- Job Syn20M04M.gms Start 09/14/12 14:38:27 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M04M.gms(2315) 2 Mb --- Starting execution: elapsed 0:00:00.016 --- Syn20M04M.gms(2313) 3 Mb --- Generating MINLP model m --- Syn20M04M.gms(2315) 6 Mb --- 1,053 rows 421 columns 2,581 non-zeroes --- 380 nl-code 56 nl-non-zeroes --- 160 discrete-columns --- Syn20M04M.gms(2315) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.027 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.75_Syn20M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2581 elements of which 2% are non-linear(NL) included in 1053 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 56 from a total of 421 variables: Continuous(261), Binary(160), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=132 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.1E+02 0 2.2E-16 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 75 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 6.8E+02 0 2.2E-16 3483.01 7 FOUND SOLUTION: 3483.01 (NLP) in 1 sec. 8 AFH 0 0 0 0 3.8E+02 36 4.5 10429.2 9 AFH 12 1 0 0 56 40 2.6 9805.9 10 AFG 20 2 0 0 3.8E+02 0 0 3497.01 10 FOUND SOLUTION: 3497.01 (NLP) in 1 sec. 11 AFH 20 2 0 0 2.6E+02 36 1.3 8779.7 12 AFH 44 3 0 0 1.7E+02 40 3 7791.53 13 AFG 52 4 0 0 1.9E+02 0 2.5E-10 3501.01 13 FOUND SOLUTION: 3501.01 (NLP) in 1 sec. 14 AFH 52 4 0 0 1.7E+02 27 1.6 5204.45 15 AFG 60 5 0 0 2E+02 0 0 3515.74 15 FOUND SOLUTION: 3515.74 (NLP) in 1 sec. 16 AFH 60 5 0 0 1E+02 16 0.57 4226.27 17 AFG 68 6 0 0 1.4E+02 0 1.4E-10 3532.74 17 FOUND SOLUTION: 3532.74 (NLP) in 1 sec. 18 AFH 68 6 0 0 27 12 0.24 3908.07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 76 7 0 0 13 15 0.049 3640.84 20 AFH 88 8 0 0 26 14 0.038 3545.83 21 AFH 90 9 0 0 9.5 13 0.013 3543.53 22 AFH 96 10 0 0 2.2 13 0.0031 3535.54 23 AFH 101 11 0 0 1.1 11 0.00096 3533.7 24 AFH 102 12 0 0 0.066 10 0.00096 3533.67 25 AFH 103 13 0 0 0.066 9 0.00096 3533.63 26 AFH 104 14 0 0 0.066 8 0.00096 3533.6 27 AFH 105 15 0 0 0.066 7 0.00077 3533.57 28 AFH 106 16 0 0 0.15 8 0.00077 3533.46 29 AFH 107 17 0 0 0.15 9 0.00062 3533.33 30 AFH 108 18 0 0 0.12 9 0.00057 3533.17 31 AFH 109 19 0 0 0.16 9 0.00057 3533.17 32 AFH 110 20 0 0 0.18 8 0.0005 3533.04 33 AFH 111 21 0 0 0.13 9 0.00019 3533 34 AFH 112 22 0 0 0.077 9 0.00019 3532.97 35 AFH 113 23 0 0 0.074 9 0.00015 3532.94 36 AFH 114 24 0 0 0.00069 8 0.00014 3532.9 37 AFH 115 25 0 0 0.076 8 0.00014 3532.9 38 AFH 116 26 0 0 0.088 9 0.00012 3532.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 117 27 0 0 0.025 9 0.00011 3532.85 40 AFH 118 28 0 0 0.00046 8 4.8E-05 3532.82 41 AFH 119 29 0 0 0.038 8 4.9E-05 3532.81 42 AFH 120 30 0 0 0.054 8 4.8E-05 3532.81 43 AFH 121 31 0 0 0.038 8 6.2E-05 3532.8 44 AFH 122 32 0 0 0.059 8 3.8E-05 3532.79 45 AFH 123 33 0 0 0.034 8 3.5E-05 3532.78 46 AFH 124 34 0 0 0.0023 7 3.5E-05 3532.77 47 AFH 125 35 0 0 0.038 8 3.1E-05 3532.76 48 AFH 126 36 0 0 0.015 9 1.5E-05 3532.76 49 AFH 127 37 0 0 0.016 9 1.5E-05 3532.76 50 AFH 128 38 0 0 0.019 9 1.2E-05 3532.75 51 AFH 129 39 0 0 0.022 9 1.2E-05 3532.75 52 AFH 130 40 0 0 0.019 8 1.2E-05 3532.75 53 AFH 131 41 0 0 0.019 7 9.5E-06 3532.75 54 AFH 132 42 0 0 0.016 6 7.8E-06 3532.75 55 AFH 133 43 0 0 0.0074 7 3.8E-06 3532.75 56 AFH 134 44 0 0 0.0096 6 4.9E-06 3532.75 57 AFH 135 45 0 0 0.014 6 3E-06 3532.75 58 AFH 136 46 0 0 0.0095 5 3E-06 3532.75 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 137 47 0 0 0.0094 4 2.8E-06 3532.75 60 AFH 138 48 0 0 0.013 2 1.9E-06 3532.75 61 AFH 139 49 0 0 0.008 1 1.2E-06 3532.74 62 AFJ 140 50 0 0 0.007 0 7.5E-07 3532.74 62 FOUND SOLUTION: 3532.74 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.75_Syn20M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 3532.7439342994689468 Max constraint (46) : 1.4282286464606386289e-10 Alternative solution : MIP Alt. objective value : 3532.7446523432881804 Max constraint (25) : 7.5153028822327883063e-07 Time used (seconds) : 2.50 Time limit (seconds) : 7200 Iterations used : 62 Iteration limit : -1 Function evaluations : 4984 Gradient evaluations : 140 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 41.5 % MIP time usage : 58.0 % Optimal/total MIPs : 56/62 NLP solver calls : 63 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M04M.gms(2315) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M04M.gms Stop 09/14/12 14:38:30 elapsed 0:00:02.562 @04 1347626310 ----------------------------- Fr 14. Sep 14:38:30 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn20M.gms =========== ----------------------------- Fr 14. Sep 14:38:30 CEST 2012 ----------------------------- @03 1347626310 --- Job Syn20M.gms Start 09/14/12 14:38:30 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn20M.gms(289) 2 Mb --- Starting execution: elapsed 0:00:00.005 --- Syn20M.gms(287) 3 Mb --- Generating MINLP model m --- Syn20M.gms(289) 5 Mb --- 114 rows 66 columns 312 non-zeroes --- 95 nl-code 14 nl-non-zeroes --- 20 discrete-columns --- Syn20M.gms(289) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.009 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.76_Syn20M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 312 elements of which 4% are non-linear(NL) included in 114 constraints of which 12% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 66 variables: Continuous(46), Binary(20), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 57 0 2.2E-16 607.918 1 FOUND SOLUTION: 607.918 (NLP) in 1 sec. 2 SAFH 0 0 0 1 49 8 1.4 2811.47 3 SAFH 6 1 0 1 24 3 2.4 259.112 4 SAFH 7 2 0 1 8.2 3 2.9 258.51 5 SAFH 8 3 0 1 28 2 0.71 259.112 6 SAFH 10 4 0 1 4.6 1 1 171.61 7 SAFJ 11 5 0 1 4.7 0 0 6.98948 8 SAFG 11 5 0 0.5 62 0 3.6E-15 924.263 8 FOUND SOLUTION: 924.263 (NLP) in 1 sec. 9 SAFH 11 5 0 0.5 27 7 1.7 2221.48 10 SAFH 14 6 0 0.5 30 7 2 1372.1 11 SAFH 15 7 0 0.5 3.1 8 0.64 1368.4 12 SAFH 18 8 0 0.5 20 5 0.66 1042.68 13 SAFH 19 9 0 0.5 36 2 0.11 1018.49 14 SAFH 21 10 0 0.5 5.6 4 0.079 941.623 15 SAFH 23 11 0 0.5 3.7 3 0.022 923.147 16 SAFH 25 12 0 0.5 0.67 3 0.006 909.443 17 SAFH 27 13 0 0.5 1.1 3 0.013 904.577 18 SAFH 28 14 0 0.5 0.75 3 0.0032 903.81 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 29 15 0 0.5 0.35 3 0.001 903.455 20 SAFH 30 16 0 0.5 0.097 3 0.00078 903.16 21 SAFH 31 17 0 0.5 0.17 3 0.00044 902.989 22 SAFH 32 18 0 0.5 0.18 3 0.00025 902.816 23 SAFH 33 19 0 0.5 0.12 3 0.00011 902.783 24 SAFH 34 20 0 0.5 0.065 3 0.00019 902.711 25 SAFH 35 21 0 0.5 0.082 3 6.3E-05 902.702 26 SAFH 36 22 0 0.5 0.023 3 4.8E-05 902.68 27 SAFH 37 23 0 0.5 0.042 3 2.8E-05 902.669 28 SAFH 38 24 0 0.5 0.019 2 1.2E-05 902.656 29 SAFH 39 25 0 0.5 0.021 2 7E-06 902.654 30 SAFH 40 26 0 0.5 0.0094 3 4.5E-06 902.65 31 SAFH 41 27 0 0.5 0.0063 2 3E-06 902.649 32 SAFH 42 28 0 0.5 0.01 2 1.1E-06 902.649 33 SAFJ 43 29 0 0.5 0.0031 0 7.6E-07 902.648 34 SAFJ 43 29 0 0.3 0 0 7.6E-07 902.648 35 SAFJ 43 29 0 0.2 0 0 7.6E-07 902.648 36 SAFJ 43 29 0 0.1 0 0 7.6E-07 902.648 37 AFH 43 29 0 0 19 3 0.12 994.794 38 AFH 45 30 0 0 1.8 3 0.069 949.935 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 46 31 0 0 1.4 3 0.027 939.588 40 AFH 47 32 0 0 0.25 3 0.015 934.707 41 AFH 48 33 0 0 1.5 3 0.0071 927.246 42 AFH 49 34 0 0 0.7 3 0.0017 925.721 43 AFH 51 35 0 0 0.34 3 0.0017 925.559 44 AFH 52 36 0 0 0.0039 2 0.00044 924.396 45 AFH 53 37 0 0 0.17 3 0.00011 924.342 46 AFH 54 38 0 0 0.086 3 7.9E-05 924.315 47 AFH 55 39 0 0 0.13 3 0.00012 924.314 48 AFH 56 40 0 0 0.1 3 3E-05 924.272 49 AFH 57 41 0 0 0.05 2 7.6E-06 924.272 50 AFH 58 42 0 0 0.025 3 1.3E-05 924.272 51 AFH 59 43 0 0 0.05 3 3.3E-06 924.266 52 AFH 60 44 0 0 2.2E-05 2 2.9E-06 924.265 53 AFJ 61 45 0 0 0.025 0 7.6E-07 924.264 53 FOUND SOLUTION: 924.264 in 2 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.76_Syn20M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 924.26331048328199813 Max constraint (3) : 3.5527136788005009294e-15 Alternative solution : MIP Alt. objective value : 924.26439355723857716 Max constraint (7) : 7.5743036687114795313e-07 Time used (seconds) : 1.13 Time limit (seconds) : 7200 Iterations used : 53 Iteration limit : -1 Function evaluations : 1722 Gradient evaluations : 61 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 26.9 % MIP time usage : 72.6 % Optimal/total MIPs : 17/53 NLP solver calls : 54 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn20M.gms(289) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn20M.gms Stop 09/14/12 14:38:31 elapsed 0:00:01.158 @04 1347626311 ----------------------------- Fr 14. Sep 14:38:31 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40H.gms =========== ----------------------------- Fr 14. Sep 14:38:31 CEST 2012 ----------------------------- @03 1347626311 --- Job Syn40H.gms Start 09/14/12 14:38:31 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40H.gms(1087) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- Syn40H.gms(1085) 3 Mb --- Generating MINLP model m --- Syn40H.gms(1087) 5 Mb --- 467 rows 303 columns 1,071 non-zeroes --- 470 nl-code 84 nl-non-zeroes --- 40 discrete-columns --- Syn40H.gms(1087) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.77_Syn40H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1071 elements of which 8% are non-linear(NL) included in 467 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 80 from a total of 303 variables: Continuous(263), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=73 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (159) infeasibile 0 H 0 0 0 1 0 28 0.11 NA 1 SAFG 28 1 0 1 1.5E+02 0 1E-11 -42.3059 1 FOUND SOLUTION: -42.3059 (NLP) in 1 sec. 2 SAFH 28 1 0 1 1.4E+02 18 3.7 1593.41 3 SAFG 33 2 0 1 1.4E+02 0 9.2E-12 -19.5008 3 FOUND SOLUTION: -19.5008 (NLP) in 1 sec. 4 SAFH 33 2 0 1 1.2E+02 16 2.2 1381.96 5 SAFG 38 3 0 1 1.5E+02 0 5.6E-16 4.51114 5 FOUND SOLUTION: 4.51114 (NLP) in 1 sec. 6 SAFH 38 3 0 1 1.3E+02 15 4.5 1351.19 7 SAFG 41 4 0 1 1.2E+02 0 1.1E-11 10.9653 7 FOUND SOLUTION: 10.9653 (NLP) in 1 sec. 8 SAFH 41 4 0 1 71 15 2.6 757.321 9 SAFH 42 5 0 1 65 15 1 746.411 10 SAFH 49 6 0 1 1.5E+02 4 1.2 60.3447 11 SAFH 51 7 0 1 71 3 0.39 59.2074 12 SAFH 53 8 0 1 5.2 2 0.48 37.1427 13 SAFH 54 9 0 1 5.2 1 0.16 -0.765442 14 SAFH 55 10 0 1 40 1 0.2 -1.53107 15 SAFH 56 11 0 1 39 1 0.034 -0.880252 16 SAFH 57 12 0 1 31 1 0.041 -2.04671 17 SAFH 58 13 0 1 30 1 0.0078 -0.924157 18 SAFH 59 14 0 1 27 1 0.0093 -2.2439 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 60 15 0 1 27 1 0.0019 -0.943503 20 SAFH 61 16 0 1 28 1 0.0024 -2.24664 21 SAFH 62 17 0 1 28 1 0.00046 -0.9526 22 SAFH 63 18 0 1 29 1 0.00062 -2.2481 23 SAFH 64 19 0 1 29 1 0.00012 -0.952705 24 SAFH 65 20 0 1 29 1 0.00016 -2.24886 25 SAFH 66 21 0 1 29 1 2.9E-05 -0.952758 26 SAFH 67 22 0 1 30 1 3.9E-05 -2.24924 27 SAFH 68 23 0 1 30 1 7.3E-06 -0.952785 28 SAFH 69 24 0 1 30 1 9.9E-06 -2.24943 29 SAFH 70 25 0 1 30 1 1.8E-06 -0.952798 30 SAFH 71 26 0 1 30 1 2.5E-06 -2.24944 31 SAFJL 72 27 0 1 30 0 4.5E-07 -0.952805 32 SAFH 44 26 0 0.5 2.4E+02 13 1.3 321.851 33 SAFG 48 27 0 0.5 1.1E+02 0 7.3E-13 34.8436 33 FOUND SOLUTION: 34.8436 (NLP) in 1 sec. 34 SAFH 48 27 0 0.5 80 13 1.3 293.241 35 SAFG 49 28 0 0.5 84 0 2.2E-15 55.7134 35 FOUND SOLUTION: 55.7134 (NLP) in 1 sec. 36 SAFH 49 28 0 0.5 64 8 0.5 290.165 37 SAFH 54 29 0 0.5 1.3E+02 6 0.25 132.895 38 SAFG 56 30 0 0.5 15 0 4.4E-16 58.7802 38 FOUND SOLUTION: 58.7802 (NLP) in 1 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 56 30 0 0.5 14 5 0.03 72.5957 40 SAFH 59 31 0 0.5 38 6 0.059 65.632 41 SAFH 61 32 0 0.5 28 6 0.011 59.0764 42 SAFH 62 33 0 0.5 2.9 6 0.0038 59.0228 43 SAFH 64 34 0 0.5 4.8 6 0.0015 59.0069 44 SAFH 65 35 0 0.5 0.027 5 0.00099 58.9978 45 SAFH 66 36 0 0.5 1.9 6 0.0012 58.968 46 SAFH 67 37 0 0.5 0.98 6 0.00064 58.9676 47 SAFH 68 38 0 0.5 1.7 6 0.00047 58.888 48 SAFH 69 39 0 0.5 1.7 5 0.00029 58.8086 49 SAFH 70 40 0 0.5 0.48 5 0.00023 58.8079 50 SAFH 71 41 0 0.5 2.2 5 0.00025 58.7923 51 SAFH 72 42 0 0.5 1.3 5 6.2E-05 58.7916 52 SAFH 73 43 0 0.5 0.083 4 7.4E-05 58.7898 53 SAFH 74 44 0 0.5 0.24 4 2.5E-05 58.7895 54 SAFH 75 45 0 0.5 0.49 3 2.1E-05 58.7814 55 SAFH 76 46 0 0.5 0.00038 2 1.5E-05 58.7812 56 SAFH 77 47 0 0.5 0.32 4 3.9E-06 58.781 57 SAFH 78 48 0 0.5 0.16 2 3.5E-06 58.781 58 SAFH 79 49 0 0.5 0.32 2 1.8E-05 58.7804 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 80 50 0 0.5 0.12 2 4.4E-06 58.7804 60 SAFH 81 51 0 0.5 0.059 2 1.8E-06 58.7804 61 SAFH 82 52 0 0.5 0.15 1 2.6E-06 58.7802 62 SAFJ 83 53 0 0.5 0.045 0 6.6E-07 58.7802 62 FOUND SOLUTION: 58.7802 in 2 sec. 63 SAFJ 83 53 0 0.3 0 0 6.6E-07 58.7802 64 SAFJ 83 53 0 0.2 0 0 6.6E-07 58.7802 65 SAFJ 83 53 0 0.1 0 0 6.6E-07 58.7802 66 AFG 83 53 0 0 75 0 1.3E-13 64.4457 66 FOUND SOLUTION: 64.4457 (NLP) in 2 sec. 67 AFH 83 53 0 0 10 8 0.073 88.0345 68 AFG 87 54 0 0 13 0 8E-12 64.9505 68 FOUND SOLUTION: 64.9505 (NLP) in 2 sec. 69 AFH 87 54 0 0 14 7 0.027 73.6565 70 AFH 90 55 0 0 10 7 0.013 72.4648 71 AFG 94 56 0 0 8 0 7.2E-11 67.7134 71 FOUND SOLUTION: 67.7134 (NLP) in 2 sec. 72 AFH 94 56 0 0 6 6 0.0062 68.3018 73 AFH 96 57 0 0 5.1 7 0.0016 68.0886 74 AFH 99 58 0 0 5.3 6 0.0041 67.9584 75 AFH 100 59 0 0 4.1 7 0.0004 67.945 76 AFH 101 60 0 0 0.14 7 0.00038 67.8967 77 AFH 102 61 0 0 0.42 7 0.00041 67.8834 78 AFH 103 62 0 0 0.85 6 0.00028 67.7744 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 104 63 0 0 0.89 6 0.00023 67.771 80 AFH 105 64 0 0 1.4 7 0.00043 67.7687 81 AFH 106 65 0 0 0.47 7 0.00011 67.7535 82 AFH 107 66 0 0 0.23 7 0.0001 67.7505 83 AFH 108 67 0 0 0.46 6 0.0001 67.7425 84 AFH 109 68 0 0 0.017 6 7E-05 67.7294 85 AFH 110 69 0 0 0.45 6 2.9E-05 67.7288 86 AFH 111 70 0 0 5.9E-05 5 2.7E-05 67.7188 87 AFH 112 71 0 0 0.11 4 2.6E-05 67.7187 88 AFH 113 72 0 0 0.032 5 1.8E-05 67.717 89 AFH 114 73 0 0 0.22 5 9.1E-06 67.7167 90 AFH 115 74 0 0 0.27 7 1.7E-05 67.7165 91 AFH 116 75 0 0 0.27 4 6.5E-06 67.7149 92 AFH 117 76 0 0 0.056 5 4.4E-06 67.7149 93 AFH 118 77 0 0 0.11 5 4.3E-06 67.7149 94 AFH 119 78 0 0 0.084 4 6.5E-06 67.7145 95 AFH 120 79 0 0 0.14 6 1.4E-05 67.7144 96 AFH 121 80 0 0 0.17 3 3.4E-06 67.7142 97 AFH 122 81 0 0 0.042 3 1.6E-06 67.714 98 AFH 123 82 0 0 0.028 2 1.6E-06 67.7139 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 124 83 0 0 0.058 2 1.1E-06 67.7137 100 AFH 125 84 0 0 0.056 1 1.1E-06 67.7137 101 AFJ 126 85 0 0 0.007 0 5.3E-07 67.7136 101 FOUND SOLUTION: 67.7136 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.77_Syn40H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 67.71338658182108361 Max constraint (2) : 7.2112610275620875573e-11 Alternative solution : MIP Alt. objective value : 67.713636531748562675 Max constraint (28) : 5.3442069837582622364e-07 Time used (seconds) : 2.25 Time limit (seconds) : 7200 Iterations used : 101 Iteration limit : -1 Function evaluations : 6244 Gradient evaluations : 154 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 34.3 % MIP time usage : 65.3 % Optimal/total MIPs : 36/101 NLP solver calls : 102 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40H.gms(1087) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40H.gms Stop 09/14/12 14:38:33 elapsed 0:00:02.276 @04 1347626313 ----------------------------- Fr 14. Sep 14:38:33 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M02H.gms =========== ----------------------------- Fr 14. Sep 14:38:31 CEST 2012 ----------------------------- @03 1347626311 --- Job Syn40M02H.gms Start 09/14/12 14:38:31 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M02H.gms(2743) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- Syn40M02H.gms(2741) 3 Mb --- Generating MINLP model m --- Syn40M02H.gms(2743) 6 Mb --- 1,213 rows 765 columns 2,741 non-zeroes --- 940 nl-code 168 nl-non-zeroes --- 160 discrete-columns --- Syn40M02H.gms(2743) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.78_Syn40M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2741 elements of which 6% are non-linear(NL) included in 1213 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 160 from a total of 765 variables: Continuous(605), Binary(160), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=182 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (316) infeasibile 0 H 0 0 0 1 0 56 0.11 NA 1 SAFG 56 1 0 1 1.3E+02 0 2E-11 13.0731 1 FOUND SOLUTION: 13.0731 (NLP) in 1 sec. 2 SAFJL 56 1 0 1 55 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 4.8E+02 0 5E-12 284.497 7 FOUND SOLUTION: 284.497 (NLP) in 1 sec. 8 AFH 0 0 0 0 2E+02 36 2.9 4228.46 9 AFH 10 1 0 0 45 40 1.4 3776.31 10 AFG 28 2 0 0 2.2E+02 0 5E-14 297.057 10 FOUND SOLUTION: 297.057 (NLP) in 1 sec. 11 AFH 28 2 0 0 1.6E+02 40 2 2658.92 12 AFG 34 3 0 0 1.9E+02 0 8.2E-14 309.428 12 FOUND SOLUTION: 309.428 (NLP) in 1 sec. 13 AFH 34 3 0 0 1E+02 28 0.83 1448.43 14 AFG 48 4 0 0 1.3E+02 0 3.2E-14 326.376 14 FOUND SOLUTION: 326.376 (NLP) in 1 sec. 15 AFH 48 4 0 0 66 29 1 1222.22 16 AFG 53 5 0 0 1.1E+02 0 1.7E-11 351.376 16 FOUND SOLUTION: 351.376 (NLP) in 1 sec. 17 AFH 53 5 0 0 43 26 0.33 1055.35 18 AFH 64 6 0 0 2.1E+02 18 2.4 668.856 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 66 7 0 0 1.5E+02 0 2.2E-16 361.376 19 FOUND SOLUTION: 361.376 (NLP) in 1 sec. 20 AFH 66 7 0 0 28 18 0.39 665.282 21 AFG 69 8 0 0 93 0 5.2E-11 371.79 21 FOUND SOLUTION: 371.79 (NLP) in 2 sec. 22 AFH 69 8 0 0 15 20 0.16 517.241 23 AFG 72 9 0 0 63 0 2.2E-11 385.376 23 FOUND SOLUTION: 385.376 (NLP) in 2 sec. 24 AFH 72 9 0 0 14 14 0.075 490.744 25 AFH 76 10 0 0 1.4E+02 16 1.2 461.917 26 AFH 78 11 0 0 1.4E+02 15 0.036 461.577 27 AFG 83 12 0 0 11 0 1.1E-16 388.488 27 FOUND SOLUTION: 388.488 (NLP) in 2 sec. 28 AFH 83 12 0 0 9.8 17 0.034 426.199 29 AFH 85 13 0 0 26 16 0.041 424.827 30 AFH 86 14 0 0 2.1 16 0.016 418.748 31 AFG 91 15 0 0 21 0 1.1E-10 388.773 31 FOUND SOLUTION: 388.773 (NLP) in 2 sec. 32 AFH 91 15 0 0 9.8 17 0.017 409.081 33 AFH 94 16 0 0 55 16 0.0078 406.047 34 AFH 103 17 0 0 56 18 0.0075 394.933 35 AFH 105 18 0 0 14 17 0.0038 393.885 36 AFH 111 19 0 0 3 17 0.0019 391.981 37 AFH 116 20 0 0 55 17 0.0018 390.407 38 AFH 120 21 0 0 53 16 0.0016 390.315 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 121 22 0 0 0.24 16 0.00098 389.863 40 AFH 122 23 0 0 0.21 16 0.00098 389.679 41 AFH 123 24 0 0 0.77 16 0.001 389.623 42 AFH 124 25 0 0 1.9 16 0.0008 389.586 43 AFH 125 26 0 0 1.6 16 0.0005 389.535 44 AFH 126 27 0 0 0.14 16 0.00047 389.511 45 AFH 127 28 0 0 0.088 16 0.00038 389.391 46 AFH 128 29 0 0 0.12 16 0.00038 389.235 47 AFH 129 30 0 0 0.0078 15 0.00035 389.204 48 AFH 130 31 0 0 0.12 15 0.00034 389.128 49 AFH 131 32 0 0 0.0018 14 0.00028 389.014 50 AFH 132 33 0 0 0.11 14 0.00026 389.011 51 AFH 133 34 0 0 0.99 15 0.00036 388.974 52 AFH 134 35 0 0 1.4 15 0.00025 388.958 53 AFH 135 36 0 0 0.39 13 0.0002 388.958 54 AFH 136 37 0 0 0.45 14 0.00013 388.937 55 AFH 137 38 0 0 0.071 14 0.00012 388.925 56 AFH 138 39 0 0 0.88 15 9.7E-05 388.925 57 AFH 139 40 0 0 0.06 16 9.6E-05 388.909 58 AFH 140 41 0 0 0.23 17 9E-05 388.904 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 141 42 0 0 0.86 15 8.7E-05 388.896 60 AFH 142 43 0 0 0.058 15 7.2E-05 388.858 61 AFH 143 44 0 0 0.058 15 5.6E-05 388.857 62 AFH 144 45 0 0 0.19 16 4E-05 388.857 63 AFH 145 46 0 0 0.35 16 3.2E-05 388.852 64 AFH 146 47 0 0 0.036 16 5.6E-05 388.846 65 AFH 147 48 0 0 0.38 14 2.4E-05 388.831 66 AFH 148 49 0 0 0.12 15 2.4E-05 388.83 67 AFH 149 50 0 0 0.03 15 3.1E-05 388.822 68 AFH 150 51 0 0 0.039 14 2.2E-05 388.817 69 AFH 151 52 0 0 0.033 14 2.2E-05 388.813 70 AFH 152 53 0 0 0.029 15 1.8E-05 388.804 71 AFH 153 54 0 0 0.029 15 3.2E-05 388.804 72 AFH 154 55 0 0 0.036 14 1.4E-05 388.799 73 AFH 155 56 0 0 0.023 13 1.4E-05 388.791 74 AFH 156 57 0 0 0.095 15 1E-05 388.79 75 AFH 157 58 0 0 5.5E-05 14 8.1E-06 388.786 76 AFH 158 59 0 0 0.018 14 7.8E-06 388.784 77 AFH 159 60 0 0 0.17 12 7.7E-06 388.783 78 AFH 160 61 0 0 0.02 13 6E-06 388.781 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 161 62 0 0 0.059 13 5.6E-06 388.781 80 AFH 162 63 0 0 0.016 13 1.2E-05 388.78 81 AFH 163 64 0 0 0.12 10 6E-06 388.779 82 AFH 164 65 0 0 0.12 11 5.4E-06 388.778 83 AFH 165 66 0 0 0.014 11 3.5E-06 388.776 84 AFH 166 67 0 0 0.012 10 2.9E-06 388.776 85 AFH 167 68 0 0 0.011 10 2.6E-06 388.776 86 AFH 168 69 0 0 0.089 9 2.2E-06 388.776 87 AFH 169 70 0 0 0.038 7 2.2E-06 388.775 88 AFH 170 71 0 0 5.9E-05 6 2.2E-06 388.775 89 AFH 171 72 0 0 5.9E-05 5 2E-06 388.775 90 AFH 172 73 0 0 0.0089 3 1.5E-06 388.775 91 AFH 173 74 0 0 0.0075 2 1.4E-06 388.775 92 AFH 174 75 0 0 0.0071 1 1.2E-06 388.774 93 AFJ 175 76 0 0 0.066 0 8.8E-07 388.774 93 FOUND SOLUTION: 388.774 in 5 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.78_Syn40M02H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 388.77273302141588829 Max constraint (13) : 1.0595090963683161417e-10 Alternative solution : MIP Alt. objective value : 388.77371053765085662 Max constraint (52) : 8.8429498124188767738e-07 Time used (seconds) : 4.89 Time limit (seconds) : 7200 Iterations used : 93 Iteration limit : -1 Function evaluations : 7000 Gradient evaluations : 231 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 33.2 % MIP time usage : 66.5 % Optimal/total MIPs : 87/93 NLP solver calls : 94 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M02H.gms(2743) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M02H.gms Stop 09/14/12 14:38:36 elapsed 0:00:04.932 @04 1347626316 ----------------------------- Fr 14. Sep 14:38:36 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M02M.gms =========== ----------------------------- Fr 14. Sep 14:38:33 CEST 2012 ----------------------------- @03 1347626313 --- Job Syn40M02M.gms Start 09/14/12 14:38:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M02M.gms(1813) 2 Mb --- Starting execution: elapsed 0:00:00.114 --- Syn40M02M.gms(1811) 3 Mb --- Generating MINLP model m --- Syn40M02M.gms(1813) 5 Mb --- 813 rows 421 columns 2,013 non-zeroes --- 380 nl-code 56 nl-non-zeroes --- 160 discrete-columns --- Syn40M02M.gms(1813) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.119 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.79_Syn40M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2013 elements of which 3% are non-linear(NL) included in 813 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(56) The number of variables in NL elements are 56 from a total of 421 variables: Continuous(261), Binary(160), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=108 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 72 0 1.4E-14 13.073 1 FOUND SOLUTION: 13.073 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 38 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 4E+02 0 6.7E-16 284.496 7 FOUND SOLUTION: 284.496 (NLP) in 1 sec. 8 AFH 0 0 0 0 1.1E+02 36 2.9 4228.46 9 AFH 10 1 0 0 27 40 1.4 3776.31 10 AFG 28 2 0 0 1.3E+02 0 2.7E-15 297.057 10 FOUND SOLUTION: 297.057 (NLP) in 1 sec. 11 AFH 28 2 0 0 85 40 2 2658.92 12 AFG 34 3 0 0 1.2E+02 0 3.8E-10 309.428 12 FOUND SOLUTION: 309.428 (NLP) in 1 sec. 13 AFH 34 3 0 0 55 28 0.83 1448.43 14 AFG 48 4 0 0 81 0 5.5E-12 326.376 14 FOUND SOLUTION: 326.376 (NLP) in 1 sec. 15 AFH 48 4 0 0 33 29 1 1222.22 16 AFG 53 5 0 0 76 0 1.4E-11 351.376 16 FOUND SOLUTION: 351.376 (NLP) in 1 sec. 17 AFH 53 5 0 0 23 26 0.33 1055.35 18 AFH 64 6 0 0 1.5E+02 18 2.4 668.855 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 66 7 0 0 1E+02 0 2.2E-16 361.376 19 FOUND SOLUTION: 361.376 (NLP) in 1 sec. 20 AFH 66 7 0 0 15 18 0.39 665.281 21 AFG 69 8 0 0 82 0 0 371.789 21 FOUND SOLUTION: 371.789 (NLP) in 1 sec. 22 AFH 69 8 0 0 8.6 20 0.16 517.241 23 AFG 72 9 0 0 48 0 2.2E-15 385.376 23 FOUND SOLUTION: 385.376 (NLP) in 2 sec. 24 AFH 72 9 0 0 7.6 14 0.075 490.743 25 AFH 76 10 0 0 94 16 1.2 461.917 26 AFH 78 11 0 0 92 15 0.036 461.576 27 AFG 83 12 0 0 8.8 0 5.2E-11 388.487 27 FOUND SOLUTION: 388.487 (NLP) in 2 sec. 28 AFH 83 12 0 0 5.1 17 0.034 426.199 29 AFH 85 13 0 0 22 16 0.041 424.827 30 AFH 86 14 0 0 1.1 16 0.016 418.747 31 AFG 91 15 0 0 16 0 4.7E-12 388.772 31 FOUND SOLUTION: 388.772 (NLP) in 2 sec. 32 AFH 91 15 0 0 5 17 0.017 409.08 33 AFH 94 16 0 0 40 16 0.0078 406.047 34 AFH 103 17 0 0 45 18 0.0075 394.932 35 AFH 105 18 0 0 11 17 0.0038 393.884 36 AFH 111 19 0 0 1.6 17 0.0019 391.981 37 AFH 116 20 0 0 44 17 0.0018 390.407 38 AFH 120 21 0 0 43 16 0.0016 390.314 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 121 22 0 0 0.12 16 0.00098 389.862 40 AFH 122 23 0 0 0.11 16 0.00098 389.679 41 AFH 123 24 0 0 0.39 16 0.001 389.622 42 AFH 124 25 0 0 0.97 16 0.0008 389.585 43 AFH 125 26 0 0 0.81 16 0.0005 389.534 44 AFH 126 27 0 0 0.07 16 0.00047 389.511 45 AFH 127 28 0 0 0.044 16 0.00038 389.391 46 AFH 128 29 0 0 0.06 16 0.00038 389.235 47 AFH 129 30 0 0 0.0039 15 0.00035 389.204 48 AFH 130 31 0 0 0.058 15 0.00034 389.128 49 AFH 131 32 0 0 0.00088 14 0.00028 389.014 50 AFH 132 33 0 0 0.057 14 0.00026 389.011 51 AFH 133 34 0 0 0.51 15 0.00036 388.974 52 AFH 134 35 0 0 0.71 15 0.00025 388.958 53 AFH 135 36 0 0 0.2 13 0.0002 388.957 54 AFH 136 37 0 0 0.23 14 0.00013 388.937 55 AFH 137 38 0 0 0.036 14 0.00012 388.925 56 AFH 138 39 0 0 0.45 15 9.7E-05 388.925 57 AFH 139 40 0 0 0.03 16 9.6E-05 388.908 58 AFH 140 41 0 0 0.12 17 9E-05 388.904 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 141 42 0 0 0.44 15 8.7E-05 388.896 60 AFH 142 43 0 0 0.029 15 7.2E-05 388.858 61 AFH 143 44 0 0 0.029 15 5.6E-05 388.857 62 AFH 144 45 0 0 0.097 16 4E-05 388.856 63 AFH 145 46 0 0 0.18 16 3.2E-05 388.852 64 AFH 146 47 0 0 0.018 16 5.6E-05 388.846 65 AFH 147 48 0 0 0.19 14 2.4E-05 388.831 66 AFH 148 49 0 0 0.061 15 2.4E-05 388.83 67 AFH 149 50 0 0 0.015 15 3.1E-05 388.822 68 AFH 150 51 0 0 0.02 14 2.2E-05 388.817 69 AFH 151 52 0 0 0.017 14 2.2E-05 388.813 70 AFH 152 53 0 0 0.014 15 1.8E-05 388.804 71 AFH 153 54 0 0 0.015 15 3.2E-05 388.803 72 AFH 154 55 0 0 0.018 14 1.4E-05 388.798 73 AFH 155 56 0 0 0.012 13 1.4E-05 388.79 74 AFH 156 57 0 0 0.049 15 1E-05 388.79 75 AFH 157 58 0 0 2.7E-05 14 8.1E-06 388.786 76 AFH 158 59 0 0 0.009 14 7.8E-06 388.784 77 AFH 159 60 0 0 0.088 12 7.7E-06 388.783 78 AFH 160 61 0 0 0.0098 13 6E-06 388.78 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 161 62 0 0 0.03 13 5.6E-06 388.78 80 AFH 162 63 0 0 0.0082 13 1.2E-05 388.78 81 AFH 163 64 0 0 0.061 10 6E-06 388.779 82 AFH 164 65 0 0 0.06 11 5.4E-06 388.778 83 AFH 165 66 0 0 0.0071 11 3.5E-06 388.776 84 AFH 166 67 0 0 0.0058 10 2.9E-06 388.776 85 AFH 167 68 0 0 0.0054 10 2.6E-06 388.775 86 AFH 168 69 0 0 0.046 9 2.2E-06 388.775 87 AFH 169 70 0 0 0.019 7 2.2E-06 388.775 88 AFH 170 71 0 0 4E-05 6 2.2E-06 388.775 89 AFH 171 72 0 0 4E-05 5 2E-06 388.775 90 AFH 172 73 0 0 0.0045 3 1.5E-06 388.775 91 AFH 173 74 0 0 0.0037 2 1.4E-06 388.774 92 AFH 174 75 0 0 0.0036 1 1.2E-06 388.774 93 AFJ 175 76 0 0 0.034 0 8.8E-07 388.773 93 FOUND SOLUTION: 388.773 in 5 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.79_Syn40M02M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 388.77235648976170523 Max constraint (13) : 4.6631587480305825011e-12 Alternative solution : MIP Alt. objective value : 388.77333373328781363 Max constraint (52) : 8.8429523348310112851e-07 Time used (seconds) : 4.37 Time limit (seconds) : 7200 Iterations used : 93 Iteration limit : -1 Function evaluations : 7000 Gradient evaluations : 175 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 28.8 % MIP time usage : 70.9 % Optimal/total MIPs : 87/93 NLP solver calls : 94 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M02M.gms(1813) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M02M.gms Stop 09/14/12 14:38:38 elapsed 0:00:04.511 @04 1347626318 ----------------------------- Fr 14. Sep 14:38:38 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M03H.gms =========== ----------------------------- Fr 14. Sep 14:38:37 CEST 2012 ----------------------------- @03 1347626317 --- Job Syn40M03H.gms Start 09/14/12 14:38:37 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M03H.gms(4491) 3 Mb --- Starting execution: elapsed 0:00:00.016 --- Syn40M03H.gms(4489) 3 Mb --- Generating MINLP model m --- Syn40M03H.gms(4491) 6 Mb --- 1,999 rows 1,147 columns 4,531 non-zeroes --- 1,410 nl-code 252 nl-non-zeroes --- 240 discrete-columns --- Syn40M03H.gms(4491) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.026 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.80_Syn40M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4531 elements of which 6% are non-linear(NL) included in 1999 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(84) The number of variables in NL elements are 240 from a total of 1147 variables: Continuous(907), Binary(240), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=291 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (473) infeasibile 0 H 0 0 0 1 0 84 0.11 NA 1 SAFG 84 1 0 1 1.8E+02 0 0 17.1203 1 FOUND SOLUTION: 17.1203 (NLP) in 1 sec. 2 SAFJL 84 1 0 1 73 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 7.9E+02 0 2.2E-15 297.605 7 FOUND SOLUTION: 297.605 (NLP) in 1 sec. 8 AFH 0 0 0 0 4.9E+02 54 4.5 5604.19 9 AFH 15 1 0 0 95 60 2.6 4905.58 10 AFH 21 2 0 0 1.6E+02 58 1.3 4783.89 11 AFH 58 3 0 0 4.5E+02 66 3.7 3894.78 12 AFH 70 4 0 0 2.4E+02 48 2.2 1639.79 13 AFH 79 5 0 0 1.8E+02 47 1.4 1480.12 14 AFG 86 6 0 0 4.9E+02 0 5E-14 316.484 14 FOUND SOLUTION: 316.484 (NLP) in 2 sec. 15 AFH 86 6 0 0 1.8E+02 35 0.57 1317.24 16 AFG 109 7 0 0 3E+02 0 9.5E-12 362.818 16 FOUND SOLUTION: 362.818 (NLP) in 2 sec. 17 AFH 109 7 0 0 72 21 0.48 803.883 18 AFG 115 8 0 0 1.7E+02 0 2.4E-14 383.609 18 FOUND SOLUTION: 383.609 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 115 8 0 0 83 24 0.27 645.458 20 AFG 121 9 0 0 1.4E+02 0 2.2E-16 390.348 20 FOUND SOLUTION: 390.348 (NLP) in 2 sec. 21 AFH 121 9 0 0 90 21 0.12 557.817 22 AFG 128 10 0 0 1.2E+02 0 1.7E-11 394.066 22 FOUND SOLUTION: 394.066 (NLP) in 2 sec. 23 AFH 128 10 0 0 68 22 0.14 506.387 24 AFG 131 11 0 0 76 0 2.8E-16 394.149 24 FOUND SOLUTION: 394.149 (NLP) in 2 sec. 25 AFH 131 11 0 0 55 22 0.06 478.38 26 AFH 139 12 0 0 86 23 0.047 446.609 27 AFG 144 13 0 0 76 0 1.2E-10 395.149 27 FOUND SOLUTION: 395.149 (NLP) in 3 sec. 28 AFH 144 13 0 0 35 21 0.023 429.197 29 AFH 152 14 0 0 59 23 0.018 415.872 30 AFH 163 15 0 0 58 21 0.0068 402.527 31 AFH 168 16 0 0 9.8 20 0.0033 399.639 32 AFH 176 17 0 0 9.5 20 0.0034 397.964 33 AFH 180 18 0 0 6.3 20 0.0016 397.387 34 AFH 185 19 0 0 24 21 0.0027 396.985 35 AFH 186 20 0 0 0.56 22 0.00087 396.759 36 AFH 187 21 0 0 10 22 0.00079 396.615 37 AFH 188 22 0 0 0.18 22 0.0008 396.578 38 AFH 189 23 0 0 1.1 22 0.0007 396.488 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 190 24 0 0 0.29 22 0.0013 396.371 40 AFH 191 25 0 0 0.42 22 0.0007 396.281 41 AFH 192 26 0 0 0.0068 21 0.00069 396.128 42 AFH 193 27 0 0 0.59 21 0.00068 396.101 43 AFH 194 28 0 0 2 21 0.00066 396.09 44 AFH 195 29 0 0 0.19 21 0.00059 395.982 45 AFH 196 30 0 0 1 21 0.00056 395.951 46 AFH 197 31 0 0 0.56 21 0.00052 395.923 47 AFH 198 32 0 0 0.083 21 0.0005 395.82 48 AFH 199 33 0 0 10 20 0.00049 395.789 49 AFH 200 34 0 0 22 19 0.00072 395.673 50 AFH 201 35 0 0 12 19 0.00044 395.664 51 AFH 202 36 0 0 0.58 20 0.00041 395.617 52 AFH 203 37 0 0 0.3 21 0.00032 395.579 53 AFH 204 38 0 0 11 22 0.0004 395.573 54 AFH 205 39 0 0 10 22 0.00032 395.563 55 AFH 206 40 0 0 10 22 0.00028 395.507 56 AFH 207 41 0 0 0.23 22 0.00028 395.439 57 AFH 208 42 0 0 0.89 22 0.00028 395.435 58 AFH 209 43 0 0 0.89 22 0.00022 395.432 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 210 44 0 0 0.094 22 0.0002 395.407 60 AFH 211 45 0 0 0.097 22 0.00018 395.393 61 AFH 212 46 0 0 0.3 22 0.00017 395.386 62 AFH 213 47 0 0 0.018 21 0.00017 395.35 63 AFH 214 48 0 0 1 21 0.00017 395.346 64 AFH 215 49 0 0 0.091 20 0.00014 395.332 65 AFH 216 50 0 0 0.27 20 0.00012 395.33 66 AFH 217 51 0 0 0.28 21 0.0001 395.328 67 AFH 218 52 0 0 0.16 22 0.0001 395.313 68 AFH 219 53 0 0 0.098 22 8.1E-05 395.308 69 AFH 220 54 0 0 0.47 22 0.00011 395.298 70 AFH 221 55 0 0 0.51 21 7.9E-05 395.282 71 AFH 222 56 0 0 0.1 21 7.2E-05 395.261 72 AFH 223 57 0 0 0.12 21 0.00017 395.24 73 AFH 224 58 0 0 0.14 21 7E-05 395.237 74 AFH 225 59 0 0 0.45 21 7E-05 395.236 75 AFH 226 60 0 0 0.45 21 7E-05 395.235 76 AFH 227 61 0 0 0.53 21 0.00015 395.231 77 AFH 228 62 0 0 0.53 21 5E-05 395.221 78 AFH 229 63 0 0 0.00097 20 4.4E-05 395.212 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 230 64 0 0 0.16 21 4.4E-05 395.21 80 AFH 231 65 0 0 0.071 21 4.3E-05 395.207 81 AFH 232 66 0 0 0.51 21 4.1E-05 395.207 82 AFH 233 67 0 0 0.045 21 4.1E-05 395.199 83 AFH 234 68 0 0 0.00039 20 3.5E-05 395.191 84 AFH 235 69 0 0 10 20 3.7E-05 395.189 85 AFH 236 70 0 0 10 20 3E-05 395.187 86 AFH 237 71 0 0 0.14 21 2.8E-05 395.187 87 AFH 238 72 0 0 0.036 21 4.7E-05 395.184 88 AFH 239 73 0 0 0.043 20 2.6E-05 395.179 89 AFH 240 74 0 0 0.071 21 2.5E-05 395.178 90 AFH 241 75 0 0 0.049 21 2E-05 395.175 91 AFH 242 76 0 0 10 21 1.8E-05 395.173 92 AFH 243 77 0 0 10 21 1.8E-05 395.172 93 AFH 244 78 0 0 0.22 21 1.7E-05 395.172 94 AFH 245 79 0 0 0.026 21 3.6E-05 395.171 95 AFH 246 80 0 0 0.042 21 1.2E-05 395.168 96 AFH 247 81 0 0 0.022 22 1.1E-05 395.165 97 AFH 248 82 0 0 10 22 1.1E-05 395.165 98 AFH 249 83 0 0 0.035 22 1.1E-05 395.162 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 250 84 0 0 0.26 22 1E-05 395.162 100 AFH 251 85 0 0 10 21 1E-05 395.161 101 AFH 252 86 0 0 0.0085 20 9E-06 395.16 102 AFH 253 87 0 0 10 19 8.7E-06 395.158 103 AFH 254 88 0 0 10 19 7.6E-06 395.158 104 AFH 255 89 0 0 0.069 19 7.6E-06 395.158 105 AFH 256 90 0 0 0.041 18 7E-06 395.158 106 AFH 257 91 0 0 0.034 17 6.4E-06 395.156 107 AFH 258 92 0 0 0.04 18 4.9E-06 395.155 108 AFH 259 93 0 0 0.026 18 4.6E-06 395.153 109 AFH 260 94 0 0 9E-05 17 4.4E-06 395.152 110 AFH 261 95 0 0 0.11 17 4.4E-06 395.152 111 AFH 262 96 0 0 10 17 3.2E-06 395.152 112 AFH 263 97 0 0 10 16 3E-06 395.152 113 AFH 264 98 0 0 5.8E-05 15 2.9E-06 395.152 114 AFH 265 99 0 0 10 13 2.8E-06 395.151 115 AFH 266 100 0 0 10 12 2.7E-06 395.151 116 AFH 267 101 0 0 0.13 11 2.6E-06 395.151 117 AFH 268 102 0 0 10 9 2.6E-06 395.151 118 AFH 269 103 0 0 0.011 8 2E-06 395.151 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 270 104 0 0 0.016 6 1.9E-06 395.151 120 AFH 271 105 0 0 0.035 5 1.9E-06 395.151 121 AFH 272 106 0 0 0.021 4 1.8E-06 395.151 122 AFH 273 107 0 0 0.017 4 2.8E-06 395.15 123 AFH 274 108 0 0 0.016 3 1.2E-06 395.15 124 AFH 275 109 0 0 0.013 2 1.1E-06 395.15 125 AFH 276 110 0 0 0.056 1 1.1E-06 395.15 126 AFJ 277 111 0 0 0.056 0 9.9E-07 395.15 126 FOUND SOLUTION: 395.15 in 11 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.80_Syn40M03H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 395.14852407196701733 Max constraint (6) : 1.2229296481214291194e-10 Alternative solution : MIP Alt. objective value : 395.14988579927688761 Max constraint (47) : 9.938421714179039255e-07 Time used (seconds) : 10.88 Time limit (seconds) : 7200 Iterations used : 126 Iteration limit : -1 Function evaluations : 13104 Gradient evaluations : 361 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 32.7 % MIP time usage : 66.9 % Optimal/total MIPs : 120/126 NLP solver calls : 127 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M03H.gms(4491) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M03H.gms Stop 09/14/12 14:38:47 elapsed 0:00:10.928 @04 1347626327 ----------------------------- Fr 14. Sep 14:38:47 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M03M.gms =========== ----------------------------- Fr 14. Sep 14:38:38 CEST 2012 ----------------------------- @03 1347626318 --- Job Syn40M03M.gms Start 09/14/12 14:38:38 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M03M.gms(3080) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- Syn40M03M.gms(3078) 3 Mb --- Generating MINLP model m --- Syn40M03M.gms(3080) 6 Mb --- 1,399 rows 631 columns 3,439 non-zeroes --- 570 nl-code 84 nl-non-zeroes --- 240 discrete-columns --- Syn40M03M.gms(3080) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.81_Syn40M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3439 elements of which 2% are non-linear(NL) included in 1399 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(84) The number of variables in NL elements are 84 from a total of 631 variables: Continuous(391), Binary(240), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=179 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 99 0 7.2E-12 17.1202 1 FOUND SOLUTION: 17.1202 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 51 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 6.2E+02 0 4.4E-16 297.605 7 FOUND SOLUTION: 297.605 (NLP) in 1 sec. 8 AFH 0 0 0 0 2.9E+02 54 4.5 5604.19 9 AFH 15 1 0 0 56 60 2.6 4905.58 10 AFH 21 2 0 0 1E+02 58 1.3 4783.89 11 AFH 58 3 0 0 2.7E+02 66 3.7 3894.78 12 AFH 70 4 0 0 1.5E+02 48 2.2 1639.79 13 AFH 79 5 0 0 1.2E+02 47 1.4 1480.12 14 AFG 86 6 0 0 2.8E+02 0 7.7E-14 316.483 14 FOUND SOLUTION: 316.483 (NLP) in 1 sec. 15 AFH 86 6 0 0 1E+02 35 0.57 1317.24 16 AFG 109 7 0 0 2.2E+02 0 1.2E-11 362.817 16 FOUND SOLUTION: 362.817 (NLP) in 2 sec. 17 AFH 109 7 0 0 40 21 0.48 803.883 18 AFG 115 8 0 0 1.2E+02 0 4.5E-10 383.608 18 FOUND SOLUTION: 383.608 (NLP) in 2 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 115 8 0 0 48 24 0.27 645.457 20 AFG 121 9 0 0 1E+02 0 5E-10 390.347 20 FOUND SOLUTION: 390.347 (NLP) in 2 sec. 21 AFH 121 9 0 0 54 21 0.12 557.817 22 AFG 128 10 0 0 86 0 1E-13 394.065 22 FOUND SOLUTION: 394.065 (NLP) in 2 sec. 23 AFH 128 10 0 0 41 22 0.14 506.386 24 AFG 131 11 0 0 48 0 7.6E-13 394.148 24 FOUND SOLUTION: 394.148 (NLP) in 2 sec. 25 AFH 131 11 0 0 34 22 0.06 478.38 26 AFH 139 12 0 0 64 23 0.047 446.608 27 AFG 144 13 0 0 56 0 1.3E-10 395.148 27 FOUND SOLUTION: 395.148 (NLP) in 2 sec. 28 AFH 144 13 0 0 21 21 0.023 429.196 29 AFH 152 14 0 0 45 23 0.018 415.872 30 AFH 163 15 0 0 44 21 0.0068 402.526 31 AFH 168 16 0 0 5.8 20 0.0033 399.639 32 AFH 176 17 0 0 5.4 20 0.0034 397.963 33 AFH 180 18 0 0 3.3 20 0.0016 397.387 34 AFH 185 19 0 0 11 21 0.0027 396.985 35 AFH 186 20 0 0 0.28 22 0.00087 396.759 36 AFH 187 21 0 0 0.032 22 0.00079 396.615 37 AFH 188 22 0 0 0.09 22 0.0008 396.578 38 AFH 189 23 0 0 0.59 22 0.0007 396.487 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 190 24 0 0 0.15 22 0.0013 396.37 40 AFH 191 25 0 0 10 22 0.0007 396.281 41 AFH 192 26 0 0 10 21 0.00069 396.127 42 AFH 193 27 0 0 0.31 21 0.00068 396.1 43 AFH 194 28 0 0 1.3 21 0.00066 396.089 44 AFH 195 29 0 0 0.093 21 0.00059 395.981 45 AFH 196 30 0 0 0.53 21 0.00056 395.95 46 AFH 197 31 0 0 0.29 21 0.00052 395.923 47 AFH 198 32 0 0 0.042 21 0.0005 395.82 48 AFH 199 33 0 0 0.0057 20 0.00049 395.789 49 AFH 200 34 0 0 9.4 19 0.00072 395.673 50 AFH 201 35 0 0 9.4 19 0.00044 395.664 51 AFH 202 36 0 0 0.3 20 0.00041 395.617 52 AFH 203 37 0 0 10 21 0.00032 395.579 53 AFH 204 38 0 0 19 22 0.0004 395.572 54 AFH 205 39 0 0 0.097 22 0.00032 395.562 55 AFH 206 40 0 0 0.079 22 0.00028 395.507 56 AFH 207 41 0 0 0.11 22 0.00028 395.438 57 AFH 208 42 0 0 11 22 0.00028 395.435 58 AFH 209 43 0 0 11 22 0.00022 395.431 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 210 44 0 0 0.047 22 0.0002 395.407 60 AFH 211 45 0 0 0.049 22 0.00018 395.393 61 AFH 212 46 0 0 0.16 22 0.00017 395.385 62 AFH 213 47 0 0 0.009 21 0.00017 395.35 63 AFH 214 48 0 0 0.67 21 0.00017 395.346 64 AFH 215 49 0 0 10 20 0.00014 395.331 65 AFH 216 50 0 0 10 20 0.00012 395.33 66 AFH 217 51 0 0 0.14 21 0.0001 395.328 67 AFH 218 52 0 0 0.079 22 0.0001 395.312 68 AFH 219 53 0 0 0.049 22 8.1E-05 395.307 69 AFH 220 54 0 0 10 22 0.00011 395.297 70 AFH 221 55 0 0 0.26 21 7.9E-05 395.282 71 AFH 222 56 0 0 10 21 7.2E-05 395.26 72 AFH 223 57 0 0 0.058 21 0.00017 395.239 73 AFH 224 58 0 0 0.071 21 7E-05 395.236 74 AFH 225 59 0 0 0.29 21 7E-05 395.236 75 AFH 226 60 0 0 0.29 21 7E-05 395.235 76 AFH 227 61 0 0 0.27 21 0.00015 395.231 77 AFH 228 62 0 0 0.27 21 5E-05 395.22 78 AFH 229 63 0 0 0.00055 20 4.4E-05 395.212 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 230 64 0 0 10 21 4.4E-05 395.21 80 AFH 231 65 0 0 10 21 4.3E-05 395.207 81 AFH 232 66 0 0 0.33 21 4.1E-05 395.206 82 AFH 233 67 0 0 0.023 21 4.1E-05 395.199 83 AFH 234 68 0 0 10 20 3.5E-05 395.19 84 AFH 235 69 0 0 0.062 20 3.7E-05 395.189 85 AFH 236 70 0 0 10 20 3E-05 395.186 86 AFH 237 71 0 0 0.071 21 2.8E-05 395.186 87 AFH 238 72 0 0 0.018 21 4.7E-05 395.184 88 AFH 239 73 0 0 10 20 2.6E-05 395.179 89 AFH 240 74 0 0 0.036 21 2.5E-05 395.177 90 AFH 241 75 0 0 10 21 2E-05 395.175 91 AFH 242 76 0 0 0.012 21 1.8E-05 395.172 92 AFH 243 77 0 0 0.14 21 1.8E-05 395.172 93 AFH 244 78 0 0 0.14 21 1.7E-05 395.172 94 AFH 245 79 0 0 0.013 21 3.6E-05 395.171 95 AFH 246 80 0 0 0.021 21 1.2E-05 395.167 96 AFH 247 81 0 0 0.011 22 1.1E-05 395.165 97 AFH 248 82 0 0 10 22 1.1E-05 395.164 98 AFH 249 83 0 0 0.017 22 1.1E-05 395.162 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 250 84 0 0 10 22 1E-05 395.162 100 AFH 251 85 0 0 0.011 21 1E-05 395.161 101 AFH 252 86 0 0 0.0042 20 9E-06 395.159 102 AFH 253 87 0 0 0.01 19 8.7E-06 395.158 103 AFH 254 88 0 0 0.036 19 7.6E-06 395.158 104 AFH 255 89 0 0 0.036 19 7.6E-06 395.158 105 AFH 256 90 0 0 10 18 7E-06 395.158 106 AFH 257 91 0 0 10 17 6.4E-06 395.156 107 AFH 258 92 0 0 0.02 18 4.9E-06 395.154 108 AFH 259 93 0 0 0.013 18 4.6E-06 395.153 109 AFH 260 94 0 0 5.1E-05 17 4.4E-06 395.152 110 AFH 261 95 0 0 0.071 17 4.4E-06 395.152 111 AFH 262 96 0 0 10 17 3.2E-06 395.152 112 AFH 263 97 0 0 10 16 3E-06 395.152 113 AFH 264 98 0 0 10 15 2.9E-06 395.151 114 AFH 265 99 0 0 0.0054 13 2.8E-06 395.151 115 AFH 266 100 0 0 0.02 12 2.7E-06 395.151 116 AFH 267 101 0 0 10 11 2.6E-06 395.151 117 AFH 268 102 0 0 10 9 2.6E-06 395.151 118 AFH 269 103 0 0 0.0056 8 2E-06 395.15 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 270 104 0 0 0.0078 6 1.9E-06 395.15 120 AFH 271 105 0 0 0.018 5 1.9E-06 395.15 121 AFH 272 106 0 0 0.01 4 1.8E-06 395.15 122 AFH 273 107 0 0 0.0084 4 2.8E-06 395.15 123 AFH 274 108 0 0 10 3 1.2E-06 395.149 124 AFH 275 109 0 0 0.0064 2 1.1E-06 395.149 125 AFH 276 110 0 0 0.036 1 1.1E-06 395.149 126 AFJ 277 111 0 0 10 0 9.9E-07 395.149 126 FOUND SOLUTION: 395.149 in 11 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.81_Syn40M03M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 395.14804691426974159 Max constraint (4) : 1.2518386327542430081e-10 Alternative solution : MIP Alt. objective value : 395.14940767704689506 Max constraint (47) : 9.9385109120220249679e-07 Time used (seconds) : 10.40 Time limit (seconds) : 7200 Iterations used : 126 Iteration limit : -1 Function evaluations : 13104 Gradient evaluations : 277 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 25.4 % MIP time usage : 74.3 % Optimal/total MIPs : 120/126 NLP solver calls : 127 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M03M.gms(3080) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M03M.gms Stop 09/14/12 14:38:48 elapsed 0:00:10.438 @04 1347626328 ----------------------------- Fr 14. Sep 14:38:48 CEST 2012 ----------------------------- =ready= Linux opt208 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M04H.gms =========== ----------------------------- Fr 14. Sep 14:38:39 CEST 2012 ----------------------------- @03 1347626319 --- Job Syn40M04H.gms Start 09/14/12 14:38:39 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M04H.gms(6508) 3 Mb --- Starting execution: elapsed 0:00:00.023 --- Syn40M04H.gms(6506) 3 Mb --- Generating MINLP model m --- Syn40M04H.gms(6508) 6 Mb --- 2,905 rows 1,529 columns 6,601 non-zeroes --- 1,880 nl-code 336 nl-non-zeroes --- 320 discrete-columns --- Syn40M04H.gms(6508) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.037 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.82_Syn40M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 6601 elements of which 5% are non-linear(NL) included in 2905 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(112) The number of variables in NL elements are 320 from a total of 1529 variables: Continuous(1209), Binary(320), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=412 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (630) infeasibile 0 H 0 0 0 1 0 112 0.11 NA 1 SAFG 112 1 0 1 2.5E+02 0 3.8E-12 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJL 112 1 0 1 1.1E+02 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 7.5E+02 0 1.6E-16 803.328 7 FOUND SOLUTION: 803.328 (NLP) in 1 sec. 8 AFH 0 0 0 0 3.8E+02 71 2.9 8198.51 9 AFH 20 1 0 0 91 79 1.4 7460.33 10 AFG 55 2 0 0 4.1E+02 0 1.6E-16 814.888 10 FOUND SOLUTION: 814.888 (NLP) in 2 sec. 11 AFH 55 2 0 0 3.3E+02 80 2 5326.06 12 AFH 67 3 0 0 1.9E+02 54 0.83 2800.92 13 AFH 95 4 0 0 1.7E+02 57 1 2361.77 14 AFH 104 5 0 0 1E+02 52 0.33 2075.36 15 AFG 127 6 0 0 2.3E+02 0 1.7E-16 856.398 15 FOUND SOLUTION: 856.398 (NLP) in 2 sec. 16 AFH 127 6 0 0 83 62 0.39 1394.08 17 AFG 136 7 0 0 2E+02 0 2.2E-16 889.041 17 FOUND SOLUTION: 889.041 (NLP) in 2 sec. 18 AFH 136 7 0 0 52 39 0.16 1153.79 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 141 8 0 0 87 0 2.2E-16 897.62 19 FOUND SOLUTION: 897.62 (NLP) in 2 sec. 20 AFH 141 8 0 0 44 31 0.075 1101.61 21 AFH 152 9 0 0 2.7E+02 31 2.4 1015.62 22 AFH 156 10 0 0 2.6E+02 30 0.036 1012.5 23 AFG 162 11 0 0 59 0 3.6E-12 898.699 23 FOUND SOLUTION: 898.699 (NLP) in 3 sec. 24 AFH 162 11 0 0 17 32 0.041 961.197 25 AFG 164 12 0 0 62 0 1.5E-11 898.907 25 FOUND SOLUTION: 898.907 (NLP) in 3 sec. 26 AFH 164 12 0 0 15 32 0.033 959.538 27 AFH 165 13 0 0 47 31 0.016 958.763 28 AFG 179 14 0 0 49 0 2.2E-16 901.602 28 FOUND SOLUTION: 901.602 (NLP) in 3 sec. 29 AFH 179 14 0 0 17 33 0.016 931.599 30 AFH 182 15 0 0 16 31 0.0078 928.47 31 AFH 198 16 0 0 30 35 0.0075 912.736 32 AFH 200 17 0 0 14 34 0.0038 911.688 33 AFH 212 18 0 0 3.7 33 0.0019 907.671 34 AFG 221 19 0 0 76 0 2.2E-16 901.752 34 FOUND SOLUTION: 901.752 (NLP) in 4 sec. 35 AFH 221 19 0 0 4.5 32 0.0029 905.434 36 AFH 222 20 0 0 34 32 0.0018 905.161 37 AFH 224 21 0 0 46 32 0.0016 905.127 38 AFH 225 22 0 0 0.24 32 0.00098 904.674 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 226 23 0 0 0.21 32 0.00098 904.491 40 AFH 227 24 0 0 0.24 33 0.00098 904.438 41 AFH 228 25 0 0 0.24 34 0.00098 904.307 42 AFH 229 26 0 0 0.77 34 0.001 904.25 43 AFH 230 27 0 0 1.9 34 0.00085 904.213 44 AFH 231 28 0 0 0.19 34 0.00071 903.988 45 AFH 232 29 0 0 0.38 34 0.00059 903.924 46 AFH 233 30 0 0 0.25 34 0.00057 903.919 47 AFH 234 31 0 0 0.049 33 0.00057 903.853 48 AFH 235 32 0 0 62 32 0.0011 903.779 49 AFH 237 33 0 0 0.54 32 0.00057 903.732 50 AFH 238 34 0 0 62 32 0.00055 903.685 51 AFH 239 35 0 0 0.2 32 0.00052 903.465 52 AFH 240 36 0 0 0.13 32 0.0005 903.257 53 AFH 241 37 0 0 15 32 0.00049 903.088 54 AFH 242 38 0 0 0.013 31 0.00049 903.067 55 AFH 243 39 0 0 62 29 0.00045 903.037 56 AFH 244 40 0 0 0.24 28 0.00041 903.032 57 AFH 245 41 0 0 0.23 29 0.00038 902.972 58 AFH 246 42 0 0 62 32 0.00037 902.804 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 247 43 0 0 62 29 0.00038 902.795 60 AFH 248 44 0 0 63 32 0.00034 902.784 61 AFH 249 45 0 0 15 32 0.00039 902.652 62 AFH 250 46 0 0 0.23 31 0.00034 902.604 63 AFH 251 47 0 0 62 27 0.00032 902.601 64 AFH 252 48 0 0 0.2 27 0.0003 902.488 65 AFH 253 49 0 0 0.19 27 0.00033 902.46 66 AFH 254 50 0 0 0.22 27 0.00025 902.452 67 AFH 255 51 0 0 0.16 27 0.00028 902.423 68 AFH 256 52 0 0 0.15 28 0.00025 902.413 69 AFH 257 53 0 0 0.085 28 0.00028 902.379 70 AFH 258 54 0 0 0.13 29 0.00025 902.369 71 AFH 259 55 0 0 0.13 29 0.00025 902.345 72 AFH 260 56 0 0 0.19 30 0.00022 902.323 73 AFH 261 57 0 0 0.037 29 0.00021 902.29 74 AFH 262 58 0 0 0.13 30 0.00017 902.262 75 AFH 263 59 0 0 0.082 31 0.00014 902.191 76 AFH 264 60 0 0 0.08 31 0.00014 902.16 77 AFH 265 61 0 0 0.12 31 0.00013 902.158 78 AFH 266 62 0 0 0.066 30 0.00012 902.129 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 267 63 0 0 0.07 29 0.00012 902.1 80 AFH 268 64 0 0 0.005 28 0.0001 902.095 81 AFH 269 65 0 0 0.062 29 9.8E-05 902.062 82 AFH 270 66 0 0 0.11 30 8.2E-05 902.037 83 AFH 271 67 0 0 0.11 30 8E-05 902.033 84 AFH 272 68 0 0 0.097 30 0.00015 902.026 85 AFH 273 69 0 0 0.15 30 7.6E-05 901.989 86 AFH 274 70 0 0 0.03 30 9.5E-05 901.96 87 AFH 275 71 0 0 0.059 30 7E-05 901.935 88 AFH 276 72 0 0 0.061 30 7E-05 901.928 89 AFH 277 73 0 0 0.043 30 6.2E-05 901.921 90 AFH 278 74 0 0 0.071 29 6.2E-05 901.915 91 AFH 279 75 0 0 0.065 29 6.2E-05 901.911 92 AFH 280 76 0 0 0.055 29 5.3E-05 901.907 93 AFH 281 77 0 0 0.049 29 4.3E-05 901.905 94 AFH 282 78 0 0 0.041 28 4E-05 901.888 95 AFH 283 79 0 0 0.001 27 4E-05 901.888 96 AFH 284 80 0 0 0.001 26 3.7E-05 901.888 97 AFH 285 81 0 0 0.046 26 3.5E-05 901.869 98 AFH 286 82 0 0 0.07 26 3.5E-05 901.864 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 287 83 0 0 0.059 26 7.1E-05 901.863 100 AFH 288 84 0 0 0.092 26 3.2E-05 901.843 101 AFH 289 85 0 0 0.062 26 3.1E-05 901.838 102 AFH 290 86 0 0 0.035 27 2.6E-05 901.823 103 AFH 291 87 0 0 0.045 27 2.4E-05 901.818 104 AFH 292 88 0 0 0.058 27 2.4E-05 901.81 105 AFH 293 89 0 0 0.029 26 2E-05 901.799 106 AFH 294 90 0 0 26 26 0.00013 901.799 107 AFH 295 91 0 0 26 27 1.9E-05 901.797 108 AFH 296 92 0 0 0.06 26 1.8E-05 901.794 109 AFH 297 93 0 0 0.016 26 1.6E-05 901.79 110 AFH 298 94 0 0 61 30 0.00026 901.789 111 AFH 299 95 0 0 61 27 1.6E-05 901.789 112 AFH 300 96 0 0 0.033 27 1.6E-05 901.787 113 AFH 301 97 0 0 0.028 27 1.3E-05 901.785 114 AFH 302 98 0 0 0.025 27 1.1E-05 901.784 115 AFH 303 99 0 0 0.046 28 9.2E-06 901.781 116 AFH 304 100 0 0 0.036 27 8.7E-06 901.78 117 AFH 305 101 0 0 0.042 28 8.6E-06 901.777 118 AFH 306 102 0 0 0.017 27 8.2E-06 901.775 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 307 103 0 0 0.02 26 8.2E-06 901.775 120 AFH 308 104 0 0 0.02 25 8.1E-06 901.775 121 AFH 309 105 0 0 0.012 25 7.7E-06 901.772 122 AFH 310 106 0 0 0.025 25 6.5E-06 901.77 123 AFH 311 107 0 0 0.02 25 6.1E-06 901.768 124 AFH 312 108 0 0 0.029 24 5.9E-06 901.767 125 AFH 313 109 0 0 0.019 23 5.9E-06 901.766 126 AFH 314 110 0 0 0.015 22 5.1E-06 901.766 127 AFH 315 111 0 0 0.027 23 4.9E-06 901.765 128 AFH 316 112 0 0 0.00064 22 4.5E-06 901.764 129 AFH 317 113 0 0 0.023 22 3.8E-06 901.762 130 AFH 318 114 0 0 0.00066 21 3.6E-06 901.761 131 AFH 319 115 0 0 0.02 19 3.3E-06 901.76 132 AFH 320 116 0 0 0.012 18 2.7E-06 901.76 133 AFH 321 117 0 0 0.01 17 2.3E-06 901.759 134 AFH 322 118 0 0 0.0085 17 2.2E-06 901.758 135 AFH 323 119 0 0 5.9E-05 16 2.2E-06 901.758 136 AFH 324 120 0 0 5.9E-05 15 2E-06 901.758 137 AFH 325 121 0 0 0.01 14 2E-06 901.758 138 AFH 326 122 0 0 0.01 13 2E-06 901.758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 327 123 0 0 0.016 12 1.9E-06 901.757 140 AFH 328 124 0 0 0.0094 11 1.9E-06 901.757 141 AFH 329 125 0 0 0.0089 10 1.9E-06 901.756 142 AFH 330 126 0 0 0.0096 8 1.7E-06 901.756 143 AFH 331 127 0 0 0.00023 7 1.7E-06 901.756 144 AFH 332 128 0 0 6.9E-05 6 1.6E-06 901.756 145 AFH 333 129 0 0 0.015 6 1.7E-06 901.756 146 AFH 334 130 0 0 0.013 5 1.5E-06 901.756 147 AFH 335 131 0 0 0.014 4 1.5E-06 901.755 148 AFH 336 132 0 0 0.00021 3 1.5E-06 901.755 149 AFH 337 133 0 0 0.0092 3 1.7E-06 901.755 150 AFH 338 134 0 0 0.0084 2 1.3E-06 901.755 151 AFH 339 135 0 0 0.014 1 1.1E-06 901.755 152 AFJ 340 136 0 0 0.0062 0 9.1E-07 901.755 152 FOUND SOLUTION: 901.755 in 22 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.82_Syn40M04H._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 901.75161431445940252 Max constraint (27) : 2.2204482696963621485e-16 Alternative solution : MIP Alt. objective value : 901.75452155589221093 Max constraint (83) : 9.0503957343597494786e-07 Time used (seconds) : 21.21 Time limit (seconds) : 7200 Iterations used : 152 Iteration limit : -1 Function evaluations : 20496 Gradient evaluations : 452 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 27.0 % MIP time usage : 72.8 % Optimal/total MIPs : 146/152 NLP solver calls : 153 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M04H.gms(6508) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M04H.gms Stop 09/14/12 14:39:01 elapsed 0:00:21.277 @04 1347626341 ----------------------------- Fr 14. Sep 14:39:01 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M04M.gms =========== ----------------------------- Fr 14. Sep 14:38:48 CEST 2012 ----------------------------- @03 1347626328 --- Job Syn40M04M.gms Start 09/14/12 14:38:48 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M04M.gms(4600) 3 Mb --- Starting execution: elapsed 0:00:00.015 --- Syn40M04M.gms(4598) 3 Mb --- Generating MINLP model m --- Syn40M04M.gms(4600) 6 Mb --- 2,105 rows 841 columns 5,145 non-zeroes --- 760 nl-code 112 nl-non-zeroes --- 320 discrete-columns --- Syn40M04M.gms(4600) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.025 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.83_Syn40M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 5145 elements of which 2% are non-linear(NL) included in 2105 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(112) The number of variables in NL elements are 112 from a total of 841 variables: Continuous(521), Binary(320), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=263 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.4E+02 0 2.8E-13 31.1461 1 FOUND SOLUTION: 31.1461 (NLP) in 1 sec. 2 SAFJ 0 0 0 1 75 0 0 -5 3 SAFJ 0 0 0 0.5 0 0 0 -5 4 SAFJ 0 0 0 0.3 0 0 0 -5 5 SAFJ 0 0 0 0.2 0 0 0 -5 6 SAFJ 0 0 0 0.1 0 0 0 -5 7 AFG 0 0 0 0 6E+02 0 2.2E-16 803.327 7 FOUND SOLUTION: 803.327 (NLP) in 1 sec. 8 AFH 0 0 0 0 2.1E+02 71 2.9 8198.51 9 AFH 20 1 0 0 54 79 1.4 7460.33 10 AFG 55 2 0 0 2.5E+02 0 5.3E-14 814.887 10 FOUND SOLUTION: 814.887 (NLP) in 1 sec. 11 AFH 55 2 0 0 1.7E+02 80 2 5326.06 12 AFH 67 3 0 0 1.3E+02 54 0.83 2800.92 13 AFH 95 4 0 0 1E+02 57 1 2361.77 14 AFH 104 5 0 0 76 52 0.33 2075.36 15 AFG 127 6 0 0 1.7E+02 0 2.9E-15 856.397 15 FOUND SOLUTION: 856.397 (NLP) in 2 sec. 16 AFH 127 6 0 0 41 62 0.39 1394.08 17 AFG 136 7 0 0 1.4E+02 0 4.4E-16 889.04 17 FOUND SOLUTION: 889.04 (NLP) in 2 sec. 18 AFH 136 7 0 0 28 39 0.16 1153.79 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 141 8 0 0 60 0 1.3E-15 897.62 19 FOUND SOLUTION: 897.62 (NLP) in 2 sec. 20 AFH 141 8 0 0 24 31 0.075 1101.61 21 AFH 152 9 0 0 1.8E+02 31 2.4 1015.61 22 AFH 156 10 0 0 1.8E+02 30 0.036 1012.5 23 AFG 162 11 0 0 50 0 2.2E-16 898.698 23 FOUND SOLUTION: 898.698 (NLP) in 3 sec. 24 AFH 162 11 0 0 8.9 32 0.041 961.197 25 AFG 164 12 0 0 53 0 4.4E-16 898.906 25 FOUND SOLUTION: 898.906 (NLP) in 3 sec. 26 AFH 164 12 0 0 7.4 32 0.033 959.538 27 AFH 165 13 0 0 45 31 0.016 958.763 28 AFG 179 14 0 0 39 0 2.2E-16 901.601 28 FOUND SOLUTION: 901.601 (NLP) in 3 sec. 29 AFH 179 14 0 0 8.9 33 0.016 931.599 30 AFH 182 15 0 0 8.2 31 0.0078 928.469 31 AFH 198 16 0 0 24 35 0.0075 912.735 32 AFH 200 17 0 0 11 34 0.0038 911.687 33 AFH 212 18 0 0 1.9 33 0.0019 907.67 34 AFG 221 19 0 0 65 0 2.2E-16 901.751 34 FOUND SOLUTION: 901.751 (NLP) in 4 sec. 35 AFH 221 19 0 0 2.5 32 0.0029 905.434 36 AFH 222 20 0 0 34 32 0.0018 905.16 37 AFH 224 21 0 0 36 32 0.0016 905.126 38 AFH 225 22 0 0 15 32 0.00098 904.674 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 226 23 0 0 15 32 0.00098 904.49 40 AFH 227 24 0 0 0.12 33 0.00098 904.438 41 AFH 228 25 0 0 0.12 34 0.00098 904.306 42 AFH 229 26 0 0 0.39 34 0.001 904.25 43 AFH 230 27 0 0 0.97 34 0.00085 904.213 44 AFH 231 28 0 0 0.098 34 0.00071 903.987 45 AFH 232 29 0 0 0.19 34 0.00059 903.924 46 AFH 233 30 0 0 0.12 34 0.00057 903.919 47 AFH 234 31 0 0 0.025 33 0.00057 903.852 48 AFH 235 32 0 0 52 32 0.0011 903.778 49 AFH 237 33 0 0 0.28 32 0.00057 903.732 50 AFH 238 34 0 0 52 32 0.00055 903.685 51 AFH 239 35 0 0 0.1 32 0.00052 903.465 52 AFH 240 36 0 0 15 32 0.0005 903.256 53 AFH 241 37 0 0 0.16 32 0.00049 903.087 54 AFH 242 38 0 0 15 31 0.00049 903.066 55 AFH 243 39 0 0 52 29 0.00045 903.036 56 AFH 244 40 0 0 0.12 28 0.00041 903.032 57 AFH 245 41 0 0 0.11 29 0.00038 902.972 58 AFH 246 42 0 0 53 32 0.00037 902.804 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 247 43 0 0 52 29 0.00038 902.795 60 AFH 248 44 0 0 53 32 0.00034 902.783 61 AFH 249 45 0 0 15 32 0.00039 902.652 62 AFH 250 46 0 0 15 31 0.00034 902.603 63 AFH 251 47 0 0 53 27 0.00032 902.6 64 AFH 252 48 0 0 0.098 27 0.0003 902.488 65 AFH 253 49 0 0 0.095 27 0.00033 902.46 66 AFH 254 50 0 0 0.11 27 0.00025 902.452 67 AFH 255 51 0 0 0.097 27 0.00028 902.422 68 AFH 256 52 0 0 0.081 28 0.00025 902.413 69 AFH 257 53 0 0 0.046 28 0.00028 902.379 70 AFH 258 54 0 0 0.065 29 0.00025 902.368 71 AFH 259 55 0 0 0.079 29 0.00025 902.345 72 AFH 260 56 0 0 0.11 30 0.00022 902.323 73 AFH 261 57 0 0 0.022 29 0.00021 902.29 74 AFH 262 58 0 0 0.065 30 0.00017 902.262 75 AFH 263 59 0 0 0.041 31 0.00014 902.19 76 AFH 264 60 0 0 0.04 31 0.00014 902.16 77 AFH 265 61 0 0 0.059 31 0.00013 902.157 78 AFH 266 62 0 0 0.033 30 0.00012 902.128 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 267 63 0 0 0.035 29 0.00012 902.099 80 AFH 268 64 0 0 0.0029 28 0.0001 902.094 81 AFH 269 65 0 0 0.031 29 9.8E-05 902.062 82 AFH 270 66 0 0 0.057 30 8.2E-05 902.037 83 AFH 271 67 0 0 0.056 30 8E-05 902.033 84 AFH 272 68 0 0 0.048 30 0.00015 902.025 85 AFH 273 69 0 0 0.074 30 7.6E-05 901.989 86 AFH 274 70 0 0 0.015 30 9.5E-05 901.959 87 AFH 275 71 0 0 0.029 30 7E-05 901.935 88 AFH 276 72 0 0 0.034 30 7E-05 901.928 89 AFH 277 73 0 0 0.022 30 6.2E-05 901.92 90 AFH 278 74 0 0 0.038 29 6.2E-05 901.915 91 AFH 279 75 0 0 0.035 29 6.2E-05 901.911 92 AFH 280 76 0 0 0.028 29 5.3E-05 901.907 93 AFH 281 77 0 0 0.025 29 4.3E-05 901.904 94 AFH 282 78 0 0 0.02 28 4E-05 901.888 95 AFH 283 79 0 0 0.00069 27 4E-05 901.888 96 AFH 284 80 0 0 0.00069 26 3.7E-05 901.887 97 AFH 285 81 0 0 0.023 26 3.5E-05 901.869 98 AFH 286 82 0 0 0.035 26 3.5E-05 901.864 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 287 83 0 0 0.029 26 7.1E-05 901.863 100 AFH 288 84 0 0 0.046 26 3.2E-05 901.843 101 AFH 289 85 0 0 0.031 26 3.1E-05 901.838 102 AFH 290 86 0 0 0.018 27 2.6E-05 901.823 103 AFH 291 87 0 0 0.023 27 2.4E-05 901.817 104 AFH 292 88 0 0 0.029 27 2.4E-05 901.81 105 AFH 293 89 0 0 0.015 26 2E-05 901.799 106 AFH 294 90 0 0 26 26 0.00013 901.798 107 AFH 295 91 0 0 26 27 1.9E-05 901.796 108 AFH 296 92 0 0 0.03 26 1.8E-05 901.794 109 AFH 297 93 0 0 0.0078 26 1.6E-05 901.79 110 AFH 298 94 0 0 0.016 27 1.6E-05 901.788 111 AFH 299 95 0 0 0.017 27 1.6E-05 901.786 112 AFH 300 96 0 0 0.014 27 1.3E-05 901.784 113 AFH 301 97 0 0 0.012 27 1.1E-05 901.783 114 AFH 302 98 0 0 0.023 28 9.2E-06 901.78 115 AFH 303 99 0 0 0.018 27 8.7E-06 901.779 116 AFH 304 100 0 0 0.021 28 8.6E-06 901.777 117 AFH 305 101 0 0 0.0086 27 8.2E-06 901.775 118 AFH 306 102 0 0 0.01 26 8.2E-06 901.775 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 307 103 0 0 0.01 25 8.1E-06 901.775 120 AFH 308 104 0 0 0.0061 25 7.7E-06 901.771 121 AFH 309 105 0 0 0.013 25 6.5E-06 901.77 122 AFH 310 106 0 0 0.01 25 6.1E-06 901.768 123 AFH 311 107 0 0 0.014 24 6E-06 901.766 124 AFH 312 108 0 0 0.0097 23 5.9E-06 901.766 125 AFH 313 109 0 0 0.0073 22 5.1E-06 901.766 126 AFH 314 110 0 0 0.014 23 4.9E-06 901.764 127 AFH 315 111 0 0 52 27 0.00026 901.764 128 AFH 316 112 0 0 52 22 4.5E-06 901.764 129 AFH 317 113 0 0 0.012 22 3.8E-06 901.762 130 AFH 318 114 0 0 0.00038 21 3.6E-06 901.761 131 AFH 319 115 0 0 0.01 19 3.3E-06 901.76 132 AFH 320 116 0 0 0.0059 18 2.7E-06 901.76 133 AFH 321 117 0 0 0.0051 17 2.3E-06 901.759 134 AFH 322 118 0 0 0.0043 17 2.2E-06 901.758 135 AFH 323 119 0 0 4E-05 16 2.2E-06 901.758 136 AFH 324 120 0 0 4E-05 15 2E-06 901.758 137 AFH 325 121 0 0 0.0051 14 2E-06 901.758 138 AFH 326 122 0 0 0.005 13 2E-06 901.758 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 327 123 0 0 0.0078 12 1.9E-06 901.757 140 AFH 328 124 0 0 0.0047 11 1.9E-06 901.756 141 AFH 329 125 0 0 0.0044 10 1.9E-06 901.755 142 AFH 330 126 0 0 0.0048 8 1.7E-06 901.755 143 AFH 331 127 0 0 0.00015 7 1.7E-06 901.755 144 AFH 332 128 0 0 4E-05 6 1.6E-06 901.755 145 AFH 333 129 0 0 0.0073 6 1.7E-06 901.755 146 AFH 334 130 0 0 0.0064 5 1.5E-06 901.755 147 AFH 335 131 0 0 0.0072 4 1.5E-06 901.754 148 AFH 336 132 0 0 0.00013 3 1.5E-06 901.754 149 AFH 337 133 0 0 0.0047 3 1.7E-06 901.754 150 AFH 338 134 0 0 0.0042 2 1.3E-06 901.754 151 AFH 339 135 0 0 0.0069 1 1.1E-06 901.754 152 AFJ 340 136 0 0 0.0031 0 9.1E-07 901.754 152 FOUND SOLUTION: 901.754 in 21 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.83_Syn40M04M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 901.75112121331790149 Max constraint (25) : 2.2204460492503130808e-16 Alternative solution : MIP Alt. objective value : 901.75402760793474499 Max constraint (83) : 9.050486349249098339e-07 Time used (seconds) : 20.92 Time limit (seconds) : 7200 Iterations used : 152 Iteration limit : -1 Function evaluations : 20496 Gradient evaluations : 340 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 18.4 % MIP time usage : 81.4 % Optimal/total MIPs : 146/152 NLP solver calls : 153 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M04M.gms(4600) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M04M.gms Stop 09/14/12 14:39:09 elapsed 0:00:20.972 @04 1347626349 ----------------------------- Fr 14. Sep 14:39:09 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/Syn/gms/Syn40M.gms =========== ----------------------------- Fr 14. Sep 14:38:48 CEST 2012 ----------------------------- @03 1347626328 --- Job Syn40M.gms Start 09/14/12 14:38:48 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- Syn40M.gms(542) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- Syn40M.gms(540) 3 Mb --- Generating MINLP model m --- Syn40M.gms(542) 5 Mb --- 227 rows 131 columns 627 non-zeroes --- 190 nl-code 28 nl-non-zeroes --- 40 discrete-columns --- Syn40M.gms(542) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.013 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Maximization problem: "bzfviger.MINLPconvex.84_Syn40M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 627 elements of which 4% are non-linear(NL) included in 227 constraints of which 12% are NL The NL constraint signs: =E=(0), =G=(0), =L=(28) The number of variables in NL elements are 28 from a total of 131 variables: Continuous(91), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=32 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 98 0 4E-12 -42.306 1 FOUND SOLUTION: -42.306 (NLP) in 1 sec. 2 SAFH 0 0 0 1 80 17 2.4 1574.84 3 SAFG 5 1 0 1 82 0 2.2E-12 2.55104 3 FOUND SOLUTION: 2.55104 (NLP) in 1 sec. 4 SAFH 5 1 0 1 65 14 3.7 1350.48 5 SAFG 6 2 0 1 73 0 2.2E-16 4.51101 5 FOUND SOLUTION: 4.51101 (NLP) in 1 sec. 6 SAFH 6 2 0 1 68 14 4.5 1351.19 7 SAFH 7 3 0 1 19 14 2.2 1346.77 8 SAFH 11 4 0 1 31 15 3 1347.48 9 SAFG 14 5 0 1 79 0 2E-12 10.4661 9 FOUND SOLUTION: 10.4661 (NLP) in 1 sec. 10 SAFH 14 5 0 1 42 15 1 746.411 11 SAFH 21 6 0 1 87 4 1.2 60.3447 12 SAFH 23 7 0 1 42 3 0.39 59.2074 13 SAFH 25 8 0 1 3.8 2 0.48 37.1427 14 SAFH 26 9 0 1 3.9 1 0.16 -0.765448 15 SAFH 27 10 0 1 22 1 0.2 -1.53108 16 SAFH 28 11 0 1 22 1 0.034 -0.880257 17 SAFH 29 12 0 1 17 1 0.041 -2.04672 18 SAFH 30 13 0 1 17 1 0.0078 -0.924161 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 31 14 0 1 15 1 0.0093 -2.24391 20 SAFH 32 15 0 1 15 1 0.0019 -0.943507 21 SAFH 33 16 0 1 16 1 0.0024 -2.24665 22 SAFH 34 17 0 1 16 1 0.00046 -0.952604 23 SAFH 35 18 0 1 16 1 0.00062 -2.24811 24 SAFH 36 19 0 1 16 1 0.00012 -0.952709 25 SAFH 37 20 0 1 17 1 0.00016 -2.24886 26 SAFH 38 21 0 1 17 1 2.9E-05 -0.952762 27 SAFH 39 22 0 1 17 1 3.9E-05 -2.24925 28 SAFH 40 23 0 1 17 1 7.3E-06 -0.952789 29 SAFH 41 24 0 1 17 1 9.9E-06 -2.24944 30 SAFH 42 25 0 1 17 1 1.8E-06 -0.952802 31 SAFH 43 26 0 1 17 1 2.5E-06 -2.24944 32 SAFJ 44 27 0 1 17 0 4.5E-07 -0.952809 33 SAFH 44 27 0 0.5 1.5E+02 13 1.3 321.851 34 SAFG 48 28 0 0.5 62 0 4.8E-13 34.8435 34 FOUND SOLUTION: 34.8435 (NLP) in 1 sec. 35 SAFH 48 28 0 0.5 48 12 2.5 293.241 36 SAFG 49 29 0 0.5 52 0 2.2E-16 55.7133 36 FOUND SOLUTION: 55.7133 (NLP) in 1 sec. 37 SAFH 49 29 0 0.5 39 8 0.5 290.165 38 SAFH 54 30 0 0.5 84 6 0.25 132.895 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFG 56 31 0 0.5 9.3 0 4.4E-16 58.7801 39 FOUND SOLUTION: 58.7801 (NLP) in 1 sec. 40 SAFH 56 31 0 0.5 8.2 5 0.03 72.5956 41 SAFH 59 32 0 0.5 24 6 0.059 65.6319 42 SAFH 61 33 0 0.5 17 6 0.011 59.0763 43 SAFH 62 34 0 0.5 1.8 6 0.0038 59.0227 44 SAFH 64 35 0 0.5 2.9 6 0.0015 59.0068 45 SAFH 65 36 0 0.5 0.018 5 0.00099 58.9977 46 SAFH 66 37 0 0.5 1.1 6 0.0012 58.9679 47 SAFH 67 38 0 0.5 0.6 6 0.00064 58.9675 48 SAFH 68 39 0 0.5 1.1 6 0.00047 58.8879 49 SAFH 69 40 0 0.5 1.1 5 0.00029 58.8085 50 SAFH 70 41 0 0.5 0.29 5 0.00023 58.8078 51 SAFH 71 42 0 0.5 1.4 5 0.00025 58.7922 52 SAFH 72 43 0 0.5 0.82 5 6.2E-05 58.7915 53 SAFH 73 44 0 0.5 0.051 4 7.4E-05 58.7896 54 SAFH 74 45 0 0.5 0.15 4 2.5E-05 58.7894 55 SAFH 75 46 0 0.5 0.3 3 2.1E-05 58.7813 56 SAFH 76 47 0 0.5 0.00025 2 1.5E-05 58.7811 57 SAFH 77 48 0 0.5 0.2 4 3.9E-06 58.7809 58 SAFH 78 49 0 0.5 0.1 2 3.5E-06 58.7808 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 79 50 0 0.5 0.2 2 1.8E-05 58.7803 60 SAFH 80 51 0 0.5 0.073 2 4.4E-06 58.7803 61 SAFH 81 52 0 0.5 0.036 2 1.8E-06 58.7802 62 SAFH 82 53 0 0.5 0.092 1 2.6E-06 58.7801 63 SAFJ 83 54 0 0.5 0.028 0 6.6E-07 58.7801 63 FOUND SOLUTION: 58.7801 in 2 sec. 64 SAFJ 83 54 0 0.3 0 0 6.6E-07 58.7801 65 SAFJ 83 54 0 0.2 0 0 6.6E-07 58.7801 66 SAFJ 83 54 0 0.1 0 0 6.6E-07 58.7801 67 AFG 83 54 0 0 47 0 4.4E-16 64.4455 67 FOUND SOLUTION: 64.4455 (NLP) in 2 sec. 68 AFH 83 54 0 0 5.5 8 0.073 88.0344 69 AFG 87 55 0 0 8.1 0 1.5E-13 64.9503 69 FOUND SOLUTION: 64.9503 (NLP) in 2 sec. 70 AFH 87 55 0 0 8.5 7 0.027 73.6564 71 AFH 90 56 0 0 6.9 7 0.013 72.4647 72 AFG 94 57 0 0 5.3 0 0 67.7133 72 FOUND SOLUTION: 67.7133 (NLP) in 2 sec. 73 AFH 94 57 0 0 3.8 6 0.0062 68.3017 74 AFH 96 58 0 0 3 7 0.0016 68.0884 75 AFH 99 59 0 0 3.4 6 0.0041 67.9583 76 AFH 100 60 0 0 2.6 7 0.0004 67.9448 77 AFH 101 61 0 0 0.071 7 0.00038 67.8966 78 AFH 102 62 0 0 0.22 7 0.00041 67.8832 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 103 63 0 0 0.44 6 0.00028 67.7743 80 AFH 104 64 0 0 0.57 6 0.00023 67.7709 81 AFH 105 65 0 0 0.7 7 0.00043 67.7686 82 AFH 106 66 0 0 0.24 7 0.00011 67.7533 83 AFH 107 67 0 0 0.12 7 0.0001 67.7504 84 AFH 108 68 0 0 0.24 6 0.0001 67.7424 85 AFH 109 69 0 0 0.0084 6 7E-05 67.7293 86 AFH 110 70 0 0 0.29 6 2.9E-05 67.7286 87 AFH 111 71 0 0 2.9E-05 5 2.7E-05 67.7186 88 AFH 112 72 0 0 0.059 4 2.6E-05 67.7185 89 AFH 113 73 0 0 0.016 5 1.8E-05 67.7169 90 AFH 114 74 0 0 0.14 5 9.1E-06 67.7166 91 AFH 115 75 0 0 0.14 7 1.7E-05 67.7164 92 AFH 116 76 0 0 0.14 4 6.5E-06 67.7148 93 AFH 117 77 0 0 0.029 5 4.4E-06 67.7148 94 AFH 118 78 0 0 0.071 5 4.3E-06 67.7148 95 AFH 119 79 0 0 0.044 4 6.5E-06 67.7144 96 AFH 120 80 0 0 0.07 6 1.4E-05 67.7143 97 AFH 121 81 0 0 0.088 3 3.4E-06 67.7141 98 AFH 122 82 0 0 0.022 3 1.6E-06 67.7138 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 123 83 0 0 0.015 2 1.6E-06 67.7138 100 AFH 124 84 0 0 0.03 2 1.1E-06 67.7136 101 AFH 125 85 0 0 0.036 1 1.1E-06 67.7136 102 AFJ 126 86 0 0 0.0035 0 5.3E-07 67.7135 102 FOUND SOLUTION: 67.7135 in 3 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.84_Syn40M._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 67.713255857146492644 Max constraint (2) : 0 Alternative solution : MIP Alt. objective value : 67.713502534810885436 Max constraint (28) : 5.3428605450989152814e-07 Time used (seconds) : 2.21 Time limit (seconds) : 7200 Iterations used : 102 Iteration limit : -1 Function evaluations : 6104 Gradient evaluations : 126 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 30.3 % MIP time usage : 69.2 % Optimal/total MIPs : 36/102 NLP solver calls : 103 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- Syn40M.gms(542) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job Syn40M.gms Stop 09/14/12 14:38:51 elapsed 0:00:02.244 @04 1347626331 ----------------------------- Fr 14. Sep 14:38:51 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-8-4-3.gms =========== ----------------------------- Fr 14. Sep 14:38:51 CEST 2012 ----------------------------- @03 1347626331 --- Job sssd-8-4-3.gms Start 09/14/12 14:38:51 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-8-4-3.gms(156) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- sssd-8-4-3.gms(154) 3 Mb --- Generating MINLP model m --- sssd-8-4-3.gms(156) 5 Mb --- 41 rows 61 columns 185 non-zeroes --- 85 nl-code 12 nl-non-zeroes --- 44 discrete-columns --- sssd-8-4-3.gms(156) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.85_sssd-8-4-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 185 elements of which 6% are non-linear(NL) included in 41 constraints of which 29% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 4 from a total of 61 variables: Continuous(17), Binary(44), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (30) infeasibile 0 H 0 0 0 1 0 12 0.011 NA 1 SAFG 12 1 0 1 31 0 6.2E-14 1.1384E+06 1 FOUND SOLUTION: 1.1384E+06 (NLP) in 1 sec. 2 SAFH 12 1 0 1 13 4 0.38 242609 3 SAFG 14 2 0 1 15 0 9.5E-15 1.07559E+06 3 FOUND SOLUTION: 1.07559E+06 (NLP) in 1 sec. 4 SAFH 14 2 0 1 9.5 4 0.17 423002 5 SAFH 17 3 0 1 25 4 0.3 483729 6 SAFH 20 4 0 1 8.3 4 0.41 577031 7 SAFH 21 5 0 1 1.9 4 0.2 710064 8 SAFH 22 6 0 1 3.3 4 0.095 935963 9 SAFG 25 7 0 1 22 0 2.5E-14 593551 9 FOUND SOLUTION: 593551 (NLP) in 1 sec. 10 SAFH 25 7 0 1 5.1 4 0.33 240655 11 SAFH 26 8 0 1 15 4 0.055 699302 12 SAFH 29 9 0 1 5.2 4 0.017 861052 13 SAFH 30 10 0 1 16 4 0.034 1.52759E+06 14 SAFH 31 11 0 1 5 4 0.01 1.87325E+06 15 SAFH 33 12 0 1 3.7 4 0.0039 2.12702E+06 16 SAFH 34 13 0 1 0.0092 4 0.0015 2.12765E+06 17 SAFH 35 14 0 1 0.59 4 0.00046 2.16842E+06 18 SAFH 36 15 0 1 0.057 4 4.2E-05 2.17233E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 37 16 0 1 0.018 3 2.4E-05 2.17357E+06 20 SAFH 38 17 0 1 5.6E-05 2 6E-06 2.17357E+06 21 SAFH 39 18 0 1 29 4 0.11 986208 22 SAFH 40 19 0 1 29 1 2.3E-06 2.17358E+06 23 SAFJL 41 20 0 1 0.00029 0 3.7E-08 2.1736E+06 24 SAFG 29 19 0 0.5 45 0 2.3E-14 542901 24 FOUND SOLUTION: 542901 (NLP) in 1 sec. 25 SAFH 29 19 0 0.5 7.3 4 0.87 40300.9 26 SAFH 30 20 0 0.5 15 4 0.4 174519 27 SAFH 32 21 0 0.5 13 4 0.31 150687 28 SAFG 34 22 0 0.5 15 0 0 199240 28 FOUND SOLUTION: 199240 (NLP) in 1 sec. 29 SAFH 34 22 0 0.5 0.26 4 0.061 181384 30 SAFH 36 23 0 0.5 15 4 0.045 231101 31 SAFH 37 24 0 0.5 5.1 4 0.052 285176 32 SAFH 39 25 0 0.5 8.9 4 0.0051 233548 33 SAFH 42 26 0 0.5 9.1 4 0.0032 309438 34 SAFH 44 27 0 0.5 0.03 4 0.00062 311522 35 SAFH 45 28 0 0.5 0.0017 3 0.00024 311638 36 SAFH 46 29 0 0.5 0.0014 2 2.1E-05 311736 37 SAFH 47 30 0 0.5 0.0002 1 1.4E-05 311749 38 SAFJ 48 31 0 0.5 2.5E-05 0 6.4E-07 311751 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFJ 48 31 0 0.3 0 0 6.4E-07 311751 40 SAFJ 48 31 0 0.2 0 0 6.4E-07 311751 41 SAFJ 48 31 0 0.1 0 0 6.4E-07 311751 42 AFH 48 31 0 0 15 4 0.82 173643 43 AFH 49 32 0 0 10 4 0.019 195808 44 AFG 51 33 0 0 10 0 1.6E-10 198166 44 FOUND SOLUTION: 198166 (NLP) in 2 sec. 45 AFH 51 33 0 0 0.023 4 0.005 196557 46 AFH 53 34 0 0 13 4 0.0064 196867 47 AFG 54 35 0 0 10 0 1.1E-16 197402 47 FOUND SOLUTION: 197402 (NLP) in 3 sec. 48 AFH 54 35 0 0 0.0075 4 0.0012 196889 49 AFG 56 36 0 0 8.1 0 6.3E-11 197181 49 FOUND SOLUTION: 197181 (NLP) in 3 sec. 50 AFH 56 36 0 0 0.00085 4 0.00021 197123 51 AFH 57 37 0 0 0.0007 3 3.1E-05 197171 52 AFH 58 38 0 0 7.4E-05 2 2.2E-05 197176 53 AFH 59 39 0 0 6.5E-05 1 3.5E-06 197181 54 AFJ 60 40 0 0 1.1E-05 0 8.2E-08 197181 54 FOUND SOLUTION: 197181 in 4 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.85_sssd-8-4-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 197181.47472130478127 Max constraint (9) : 6.3081706525025538213e-11 Alternative solution : MIP Alt. objective value : 197181.45567151499563 Max constraint (9) : 8.1765571258163305401e-08 Time used (seconds) : 3.14 Time limit (seconds) : 7200 Iterations used : 54 Iteration limit : -1 Function evaluations : 2052 Gradient evaluations : 72 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 7.1 % MIP time usage : 92.7 % Optimal/total MIPs : 13/54 NLP solver calls : 55 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-8-4-3.gms(156) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-8-4-3.gms Stop 09/14/12 14:38:54 elapsed 0:00:03.160 @04 1347626334 ----------------------------- Fr 14. Sep 14:38:54 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-10-4-3.gms =========== ----------------------------- Fr 14. Sep 14:38:54 CEST 2012 ----------------------------- @03 1347626334 --- Job sssd-10-4-3.gms Start 09/14/12 14:38:54 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-10-4-3.gms(169) 2 Mb --- Starting execution: elapsed 0:00:00.004 --- sssd-10-4-3.gms(167) 3 Mb --- Generating MINLP model m --- sssd-10-4-3.gms(169) 5 Mb --- 43 rows 69 columns 209 non-zeroes --- 85 nl-code 12 nl-non-zeroes --- 52 discrete-columns --- sssd-10-4-3.gms(169) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.006 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.86_sssd-10-4-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 209 elements of which 6% are non-linear(NL) included in 43 constraints of which 28% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 4 from a total of 69 variables: Continuous(17), Binary(52), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (32) infeasibile 0 H 0 0 0 1 0 12 0.011 NA 1 SAFG 12 1 0 1 41 0 1.7E-13 1.57612E+06 1 FOUND SOLUTION: 1.57612E+06 (NLP) in 1 sec. 2 SAFH 12 1 0 1 21 4 0.41 214163 3 SAFH 15 2 0 1 3.9 4 0.19 463633 4 SAFH 17 3 0 1 4.1 4 0.085 729888 5 SAFH 19 4 0 1 5.1 4 0.033 1.05996E+06 6 SAFG 22 5 0 1 15 0 1.9E-10 1.46132E+06 6 FOUND SOLUTION: 1.46132E+06 (NLP) in 1 sec. 7 SAFH 22 5 0 1 3.2 4 0.11 1.25335E+06 8 SAFH 23 6 0 1 0.28 4 0.017 1.27143E+06 9 SAFH 25 7 0 1 2.5 4 0.0061 1.43092E+06 10 SAFH 26 8 0 1 0.0088 4 0.0021 1.43149E+06 11 SAFH 28 9 0 1 0.45 4 0.00052 1.46057E+06 12 SAFH 29 10 0 1 0.0019 3 4.4E-05 1.46069E+06 13 SAFH 30 11 0 1 6.5E-05 2 2.5E-05 1.4607E+06 14 SAFH 31 12 0 1 2.6 2 0.00083 1.4706E+06 15 SAFH 32 13 0 1 0.0015 1 1.9E-05 1.4707E+06 16 SAFJL 33 14 0 1 0.00037 0 9.4E-07 1.47072E+06 17 SAFH 21 13 0 0.5 43 2 0.98 2646.85 18 SAFG 22 14 0 0.5 25 0 7.4E-14 913678 18 FOUND SOLUTION: 913678 (NLP) in 1 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 22 14 0 0.5 14 3 0.92 2794.86 20 SAFH 24 15 0 0.5 22 4 1 56178.9 21 SAFG 27 16 0 0.5 33 0 5.6E-17 372831 21 FOUND SOLUTION: 372831 (NLP) in 1 sec. 22 SAFH 27 16 0 0.5 2.9 4 0.26 185267 23 SAFG 29 17 0 0.5 28 0 0 342935 23 FOUND SOLUTION: 342935 (NLP) in 1 sec. 24 SAFH 29 17 0 0.5 3.5 4 0.31 118863 25 SAFH 31 18 0 0.5 22 3 0.47 91333.3 26 SAFG 32 19 0 0.5 22 0 9.9E-15 200375 26 FOUND SOLUTION: 200375 (NLP) in 1 sec. 27 SAFH 32 19 0 0.5 0.51 4 0.19 167504 28 SAFH 33 20 0 0.5 17 4 0.022 206421 29 SAFH 34 21 0 0.5 0.065 4 0.0012 210573 30 SAFH 36 22 0 0.5 0.0075 4 0.00082 211057 31 SAFH 37 23 0 0.5 0.0025 4 0.00043 211221 32 SAFH 38 24 0 0.5 0.0014 3 2.6E-06 211312 33 SAFH 39 25 0 0.5 8.6E-06 2 2E-06 211313 34 SAFH 40 26 0 0.5 7E-06 1 1.2E-06 211313 35 SAFJ 41 27 0 0.5 3.7E-06 0 3.4E-07 211313 36 SAFJ 41 27 0 0.3 0 0 3.4E-07 211313 37 SAFJ 41 27 0 0.2 0 0 3.4E-07 211313 38 SAFJ 41 27 0 0.1 0 0 3.4E-07 211313 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 41 27 0 0 16 0 0 176982 39 FOUND SOLUTION: 176982 (NLP) in 2 sec. 40 AFH 41 27 0 0 0.53 4 0.074 142718 41 AFG 44 28 0 0 9.5 0 0 153303 41 FOUND SOLUTION: 153303 (NLP) in 2 sec. 42 AFH 44 28 0 0 0.093 4 0.022 147311 43 AFH 45 29 0 0 12 4 0.021 150024 44 AFH 46 30 0 0 4.4 4 0.01 150159 45 AFG 48 31 0 0 4.3 0 5.6E-17 152847 45 FOUND SOLUTION: 152847 (NLP) in 3 sec. 46 AFH 48 31 0 0 0.022 4 0.0046 151440 47 AFH 49 32 0 0 12 4 0.01 151566 48 AFG 50 33 0 0 8.3 0 5.6E-17 152781 48 FOUND SOLUTION: 152781 (NLP) in 4 sec. 49 AFH 50 33 0 0 0.012 4 0.0025 151979 50 AFH 52 34 0 0 10 4 0.00093 152562 51 AFG 53 35 0 0 4.3 0 5.6E-17 152720 51 FOUND SOLUTION: 152720 (NLP) in 5 sec. 52 AFH 53 35 0 0 0.0019 2 0.00054 152601 53 AFG 54 36 0 0 0.0019 0 6.3E-11 152720 53 FOUND SOLUTION: 152720 (NLP) in 6 sec. 54 AFH 54 36 0 0 0.00059 1 0.00023 152682 55 AFG 55 37 0 0 4.2 0 2.9E-12 152710 55 FOUND SOLUTION: 152710 (NLP) in 6 sec. 56 AFH 55 37 0 0 0.00021 2 8.8E-05 152697 57 AFG 56 38 0 0 0.00021 0 6.3E-11 152710 57 FOUND SOLUTION: 152710 (NLP) in 7 sec. 58 AFH 56 38 0 0 1.8E-05 1 6.2E-06 152709 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFJ 57 39 0 0 1.7E-05 0 1.7E-07 152710 59 FOUND SOLUTION: 152710 in 7 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.86_sssd-10-4-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 152709.94417747826083 Max constraint (3) : 6.314027078957451522e-11 Alternative solution : MIP Alt. objective value : 152709.91363572952105 Max constraint (12) : 1.6524604723455738053e-07 Time used (seconds) : 6.80 Time limit (seconds) : 7200 Iterations used : 59 Iteration limit : -1 Function evaluations : 2196 Gradient evaluations : 69 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 2.0 % MIP time usage : 97.9 % Optimal/total MIPs : 21/59 NLP solver calls : 60 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-10-4-3.gms(169) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-10-4-3.gms Stop 09/14/12 14:39:01 elapsed 0:00:06.820 @04 1347626341 ----------------------------- Fr 14. Sep 14:39:01 CEST 2012 ----------------------------- =ready= Linux opt208 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-12-5-3.gms =========== ----------------------------- Fr 14. Sep 14:39:01 CEST 2012 ----------------------------- @03 1347626341 --- Job sssd-12-5-3.gms Start 09/14/12 14:39:01 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-12-5-3.gms(203) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- sssd-12-5-3.gms(201) 3 Mb --- Generating MINLP model m --- sssd-12-5-3.gms(203) 5 Mb --- 53 rows 96 columns 291 non-zeroes --- 106 nl-code 15 nl-non-zeroes --- 75 discrete-columns --- sssd-12-5-3.gms(203) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.87_sssd-12-5-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 291 elements of which 5% are non-linear(NL) included in 53 constraints of which 28% are NL The NL constraint signs: =E=(0), =G=(0), =L=(15) The number of variables in NL elements are 5 from a total of 96 variables: Continuous(21), Binary(75), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (39) infeasibile 0 H 0 0 0 1 0 15 0.011 NA 1 SAFG 15 1 0 1 33 0 8.2E-14 1.14483E+06 1 FOUND SOLUTION: 1.14483E+06 (NLP) in 1 sec. 2 SAFH 15 1 0 1 11 4 0.37 251917 3 SAFH 17 2 0 1 35 3 0.43 270144 4 SAFH 20 3 0 1 5.3 3 0.21 687677 5 SAFH 23 4 0 1 8.1 3 0.096 1.33061E+06 6 SAFH 26 5 0 1 51 4 0.27 375072 7 SAFH 28 6 0 1 15 4 0.39 321571 8 SAFH 30 7 0 1 2.7 4 0.18 539609 9 SAFH 32 8 0 1 3.5 4 0.073 814007 10 SAFH 34 9 0 1 3.3 4 0.032 1.07217E+06 11 SAFH 37 10 0 1 21 4 0.091 726966 12 SAFH 38 11 0 1 4.2 4 0.035 1.05702E+06 13 SAFH 40 12 0 1 4.3 4 0.0096 1.39826E+06 14 SAFH 41 13 0 1 2.2 4 0.0046 1.57042E+06 15 SAFH 43 14 0 1 0.027 4 0.0013 1.5726E+06 16 SAFH 45 15 0 1 0.37 4 4.5E-05 1.60179E+06 17 SAFH 46 16 0 1 0.0002 3 2.5E-05 1.60181E+06 18 SAFH 47 17 0 1 0.0076 2 1.2E-05 1.60241E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 48 18 0 1 3.2E-05 1 4.6E-06 1.60241E+06 20 SAFJL 49 19 0 1 3.6E-05 0 1.1E-08 1.60241E+06 21 SAFG 34 18 0 0.5 26 0 7.3E-14 991207 21 FOUND SOLUTION: 991207 (NLP) in 1 sec. 22 SAFH 34 18 0 0.5 12 5 0.91 2141.62 23 SAFH 36 19 0 0.5 22 5 0.9 17780.2 24 SAFH 38 20 0 0.5 19 5 0.98 102911 25 SAFG 40 21 0 0.5 28 0 1.1E-16 664209 25 FOUND SOLUTION: 664209 (NLP) in 1 sec. 26 SAFH 40 21 0 0.5 1.9 5 0.56 516127 27 SAFH 41 22 0 0.5 30 5 0.43 165700 28 SAFH 43 23 0 0.5 36 4 0.27 824271 29 SAFH 45 24 0 0.5 30 5 0.44 153372 30 SAFG 47 25 0 0.5 22 0 7.3E-15 298998 30 FOUND SOLUTION: 298998 (NLP) in 1 sec. 31 SAFH 47 25 0 0.5 0.51 4 0.16 258314 32 SAFG 48 26 0 0.5 8.4 0 1.1E-16 287627 32 FOUND SOLUTION: 287627 (NLP) in 1 sec. 33 SAFH 48 26 0 0.5 0.33 5 0.061 261586 34 SAFG 50 27 0 0.5 7.9 0 1.1E-16 268690 34 FOUND SOLUTION: 268690 (NLP) in 1 sec. 35 SAFH 50 27 0 0.5 0.13 4 0.033 257990 36 SAFH 52 28 0 0.5 16 5 0.4 281194 37 SAFH 53 29 0 0.5 15 5 0.054 304788 38 SAFH 54 30 0 0.5 7.1 4 0.016 278281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 56 31 0 0.5 0.055 4 0.0051 282664 40 SAFH 57 32 0 0.5 0.013 4 0.00071 283714 41 SAFH 58 33 0 0.5 0.0019 3 0.00029 283861 42 SAFH 59 34 0 0.5 0.00046 2 0.00014 283898 43 SAFH 60 35 0 0.5 0.00053 1 4.1E-05 283940 44 SAFJ 61 36 0 0.5 0.00011 0 8.2E-07 283949 45 SAFJ 61 36 0 0.3 0 0 8.2E-07 283949 46 SAFJ 61 36 0 0.2 0 0 8.2E-07 283949 47 SAFJ 61 36 0 0.1 0 0 8.2E-07 283949 48 AFG 61 36 0 0 22 0 0 262807 48 FOUND SOLUTION: 262807 (NLP) in 8 sec. 49 AFH 61 36 0 0 0.11 5 0.014 253897 50 AFG 64 37 0 0 15 0 5.6E-17 261819 50 FOUND SOLUTION: 261819 (NLP) in 17 sec. 51 AFH 64 37 0 0 0.023 5 0.0032 259967 52 AFG 66 38 0 0 16 0 5.6E-17 261143 52 FOUND SOLUTION: 261143 (NLP) in 20 sec. 53 AFH 66 38 0 0 0.0089 4 0.001 260433 54 AFH 67 39 0 0 4 4 0.00099 260611 55 AFH 68 40 0 0 0.0029 4 0.00074 260838 56 AFH 69 41 0 0 10 4 0.0004 260998 57 AFH 70 42 0 0 0.0011 3 0.00023 261089 58 AFH 71 43 0 0 0.00064 2 0.00019 261139 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 72 44 0 0 10 3 6.2E-05 261139 60 AFG 73 45 0 0 4 0 2.5E-11 261143 60 FOUND SOLUTION: 261143 (NLP) in 23 sec. 61 AFH 73 45 0 0 2.5E-05 3 3.8E-06 261141 62 AFH 74 46 0 0 1.1E-05 2 1.7E-06 261141 63 AFH 75 47 0 0 4.8E-06 1 1.7E-06 261142 64 AFJ 76 48 0 0 4E-06 0 9.4E-07 261142 64 FOUND SOLUTION: 261142 in 25 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.87_sssd-12-5-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 261142.54474859364564 Max constraint (12) : 2.4683644017642336621e-11 Alternative solution : MIP Alt. objective value : 261142.15929047230748 Max constraint (15) : 9.4078272472319923736e-07 Time used (seconds) : 24.22 Time limit (seconds) : 7200 Iterations used : 64 Iteration limit : -1 Function evaluations : 2625 Gradient evaluations : 91 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.7 % MIP time usage : 99.3 % Optimal/total MIPs : 17/64 NLP solver calls : 65 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-12-5-3.gms(203) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-12-5-3.gms Stop 09/14/12 14:39:25 elapsed 0:00:24.245 @04 1347626365 ----------------------------- Fr 14. Sep 14:39:25 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-15-6-3.gms =========== ----------------------------- Fr 14. Sep 14:39:01 CEST 2012 ----------------------------- @03 1347626341 --- Job sssd-15-6-3.gms Start 09/14/12 14:39:01 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-15-6-3.gms(252) 2 Mb --- Starting execution: elapsed 0:00:00.004 --- sssd-15-6-3.gms(251) 3 Mb --- Generating MINLP model m --- sssd-15-6-3.gms(252) 5 Mb --- 64 rows 133 columns 403 non-zeroes --- 127 nl-code 18 nl-non-zeroes --- 108 discrete-columns --- sssd-15-6-3.gms(252) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.006 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.88_sssd-15-6-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 403 elements of which 4% are non-linear(NL) included in 64 constraints of which 28% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 6 from a total of 133 variables: Continuous(25), Binary(108), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (47) infeasibile 0 H 0 0 0 1 0 18 0.011 NA 1 SAFG 18 1 0 1 70 0 6E-14 3.59449E+06 1 FOUND SOLUTION: 3.59449E+06 (NLP) in 1 sec. 2 SAFH 18 1 0 1 38 6 0.41 480291 3 SAFG 23 2 0 1 57 0 1.1E-13 2.40778E+06 3 FOUND SOLUTION: 2.40778E+06 (NLP) in 1 sec. 4 SAFH 23 2 0 1 23 5 0.41 521591 5 SAFG 25 3 0 1 50 0 1.2E-13 1.82881E+06 5 FOUND SOLUTION: 1.82881E+06 (NLP) in 1 sec. 6 SAFH 25 3 0 1 15 5 0.3 640381 7 SAFH 28 4 0 1 20 6 0.14 1.03511E+06 8 SAFH 31 5 0 1 6 6 0.047 1.52582E+06 9 SAFH 34 6 0 1 4.1 6 0.017 1.86532E+06 10 SAFH 36 7 0 1 0.42 6 0.0051 1.8995E+06 11 SAFH 38 8 0 1 0.81 6 0.002 1.9658E+06 12 SAFH 40 9 0 1 0.013 6 0.0005 1.96684E+06 13 SAFH 41 10 0 1 0.023 6 0.00046 1.96873E+06 14 SAFH 42 11 0 1 0.0012 5 0.0003 1.96883E+06 15 SAFH 43 12 0 1 0.049 5 4.2E-05 1.97281E+06 16 SAFH 44 13 0 1 0.00094 4 7.8E-06 1.97288E+06 17 SAFH 45 14 0 1 2.9E-05 3 3E-06 1.97289E+06 18 SAFH 46 15 0 1 1.3E-05 2 1.7E-06 1.97289E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 47 16 0 1 7.9E-05 1 1.1E-06 1.97289E+06 20 SAFJL 48 17 0 1 0.00019 0 3.5E-07 1.97291E+06 21 SAFH 30 16 0 0.5 51 6 0.98 3082.32 22 SAFH 33 17 0 0.5 36 5 1 58004 23 SAFG 37 18 0 0.5 50 0 3.2E-14 1.52937E+06 23 FOUND SOLUTION: 1.52937E+06 (NLP) in 1 sec. 24 SAFH 37 18 0 0.5 16 6 0.89 215543 25 SAFG 38 19 0 0.5 26 0 4.5E-14 1.1784E+06 25 FOUND SOLUTION: 1.1784E+06 (NLP) in 1 sec. 26 SAFH 38 19 0 0.5 12 6 0.71 204317 27 SAFH 41 20 0 0.5 24 4 0.48 594788 28 SAFG 43 21 0 0.5 39 0 1.4E-14 1.01993E+06 28 FOUND SOLUTION: 1.01993E+06 (NLP) in 1 sec. 29 SAFH 43 21 0 0.5 7.6 6 0.37 396607 30 SAFG 45 22 0 0.5 20 0 1.1E-16 1.01333E+06 30 FOUND SOLUTION: 1.01333E+06 (NLP) in 1 sec. 31 SAFH 45 22 0 0.5 5.9 6 0.33 534437 32 SAFG 46 23 0 0.5 18 0 1.3E-14 497994 32 FOUND SOLUTION: 497994 (NLP) in 1 sec. 33 SAFH 46 23 0 0.5 0.79 6 0.063 433467 34 SAFH 49 24 0 0.5 33 6 0.24 1.09514E+06 35 SAFH 51 25 0 0.5 43 6 0.28 712265 36 SAFH 53 26 0 0.5 45 6 0.11 1.48376E+06 37 SAFH 54 27 0 0.5 28 6 0.048 578785 38 SAFH 57 28 0 0.5 11 5 0.063 667364 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 58 29 0 0.5 3.5 5 0.0052 646029 40 SAFH 59 30 0 0.5 0.03 5 0.0025 648476 41 SAFH 61 31 0 0.5 4.3 5 0.0009 648480 42 SAFH 62 32 0 0.5 0.0052 5 0.00077 648905 43 SAFH 63 33 0 0.5 14 6 0.024 622210 44 SAFH 65 34 0 0.5 9.6 5 0.0011 652623 45 SAFH 66 35 0 0.5 0.0055 5 0.0005 653073 46 SAFH 67 36 0 0.5 0.0016 4 0.00035 653202 47 SAFH 68 37 0 0.5 0.0018 3 6.5E-05 653345 48 SAFH 69 38 0 0.5 0.00038 2 2.8E-06 653376 49 SAFH 70 39 0 0.5 1.4E-05 1 2.2E-06 653377 50 SAFJ 71 40 0 0.5 2.9E-05 0 4.4E-07 653379 51 SAFJ 71 40 0 0.3 0 0 4.4E-07 653379 52 SAFJ 71 40 0 0.2 0 0 4.4E-07 653379 53 SAFJ 71 40 0 0.1 0 0 4.4E-07 653379 54 AFH 71 40 0 0 28 5 0.24 434075 55 AFG 73 41 0 0 18 0 1.1E-16 461573 55 FOUND SOLUTION: 461573 (NLP) in 11 sec. 56 AFH 73 41 0 0 0.31 4 0.069 436502 57 AFG 74 42 0 0 9 0 1.1E-16 455648 57 FOUND SOLUTION: 455648 (NLP) in 23 sec. 58 AFH 74 42 0 0 0.23 6 0.024 437209 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFG 76 43 0 0 19 0 1.1E-16 443691 59 FOUND SOLUTION: 443691 (NLP) in 61 sec. 60 AFH 76 43 0 0 0.062 5 0.0054 438605 61 AFG 80 44 0 0 23 0 5.6E-17 440747 61 FOUND SOLUTION: 440747 (NLP) in 90 sec. 62 AFH 80 44 0 0 0.0093 5 0.00093 439987 63 AFH 81 45 0 0 4.1 5 0.0013 440241 64 AFG 82 46 0 0 8.1 0 5.6E-17 440723 64 FOUND SOLUTION: 440723 (NLP) in 94 sec. 65 AFH 82 46 0 0 0.005 5 0.00071 440316 66 AFH 83 47 0 0 6.5 6 0.0059 440457 67 AFH 84 48 0 0 15 2 0.00058 440508 68 AFG 85 49 0 0 12 0 3E-10 440723 68 FOUND SOLUTION: 440723 (NLP) in 104 sec. 69 AFH 85 49 0 0 0.0026 4 0.00034 440510 70 AFG 86 50 0 0 4.2 0 3E-10 440711 70 FOUND SOLUTION: 440711 (NLP) in 107 sec. 71 AFH 86 50 0 0 0.0016 4 0.00033 440583 72 AFH 87 51 0 0 4 4 8.5E-05 440686 73 AFH 88 52 0 0 4 3 4.3E-05 440691 74 AFH 89 53 0 0 0.00015 2 1.8E-05 440704 75 AFH 90 54 0 0 6.2E-05 1 8E-06 440709 76 AFJ 91 55 0 0 2.7E-05 0 9.2E-07 440711 76 FOUND SOLUTION: 440711 in 119 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.88_sssd-15-6-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 440711.35466064966749 Max constraint (18) : 2.9501157072786554636e-10 Alternative solution : MIP Alt. objective value : 440711.02991805941565 Max constraint (9) : 9.1957718167945401433e-07 Time used (seconds) : 118.75 Time limit (seconds) : 7200 Iterations used : 76 Iteration limit : -1 Function evaluations : 4608 Gradient evaluations : 109 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 23/76 NLP solver calls : 77 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-15-6-3.gms(252) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-15-6-3.gms Stop 09/14/12 14:41:00 elapsed 0:01:58.773 @04 1347626460 ----------------------------- Fr 14. Sep 14:41:00 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-16-8-3.gms =========== ----------------------------- Fr 14. Sep 14:39:09 CEST 2012 ----------------------------- @03 1347626349 --- Job sssd-16-8-3.gms Start 09/14/12 14:39:09 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-16-8-3.gms(324) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- sssd-16-8-3.gms(322) 3 Mb --- Generating MINLP model m --- sssd-16-8-3.gms(324) 5 Mb --- 81 rows 185 columns 561 non-zeroes --- 169 nl-code 24 nl-non-zeroes --- 152 discrete-columns --- sssd-16-8-3.gms(324) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.012 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.89_sssd-16-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 561 elements of which 4% are non-linear(NL) included in 81 constraints of which 30% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 8 from a total of 185 variables: Continuous(33), Binary(152), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (58) infeasibile 0 H 0 0 0 1 0 24 0.011 NA 1 SAFG 24 1 0 1 1.2E+02 0 4.3E-14 9.05521E+06 1 FOUND SOLUTION: 9.05521E+06 (NLP) in 1 sec. 2 SAFH 24 1 0 1 85 7 0.43 661591 3 SAFH 29 2 0 1 19 7 0.44 1.17035E+06 4 SAFG 31 3 0 1 73 0 1.3E-13 7.29075E+06 4 FOUND SOLUTION: 7.29075E+06 (NLP) in 1 sec. 5 SAFH 31 3 0 1 60 7 0.28 1.43652E+06 6 SAFG 35 4 0 1 60 0 2.5E-13 7.29075E+06 6 FOUND SOLUTION: 7.29075E+06 (NLP) in 1 sec. 7 SAFH 35 4 0 1 49 7 0.11 2.45171E+06 8 SAFH 42 5 0 1 52 6 0.44 939760 9 SAFG 45 6 0 1 44 0 3E-14 2.98686E+06 9 FOUND SOLUTION: 2.98686E+06 (NLP) in 1 sec. 10 SAFH 45 6 0 1 21 7 0.4 948296 11 SAFH 46 7 0 1 75 6 0.42 3.38309E+06 12 SAFH 48 8 0 1 8.3 6 0.17 3.71849E+06 13 SAFH 50 9 0 1 11 6 0.068 4.76007E+06 14 SAFH 54 10 0 1 32 6 0.2 7.60557E+06 15 SAFH 55 11 0 1 5.8 6 0.031 7.37715E+06 16 SAFG 61 12 0 1 1.2E+02 0 1.1E-16 1.33923E+06 16 FOUND SOLUTION: 1.33923E+06 (NLP) in 1 sec. 17 SAFH 61 12 0 1 4.9 8 0.22 854422 18 SAFH 62 13 0 1 1.3 8 0.096 980923 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 66 14 0 1 96 7 0.23 6.44963E+06 20 SAFH 68 15 0 1 16 7 0.046 6.52344E+06 21 SAFH 70 16 0 1 0.64 7 0.012 6.58615E+06 22 SAFH 73 17 0 1 34 7 0.0057 9.64255E+06 23 SAFH 75 18 0 1 90 7 0.22 1.9337E+06 24 SAFH 76 19 0 1 1.6 7 0.08 2.08994E+06 25 SAFH 77 20 0 1 1.5 7 0.02 2.23517E+06 26 SAFH 79 21 0 1 1.2E+02 7 0.002 1.19905E+07 27 SAFH 81 22 0 1 0.043 7 0.0008 1.19947E+07 28 SAFH 82 23 0 1 8.9 7 0.00075 1.28735E+07 29 SAFH 83 24 0 1 0.023 7 0.00056 1.28757E+07 30 SAFH 84 25 0 1 0.017 7 0.00056 1.28774E+07 31 SAFH 85 26 0 1 9.3 7 0.094 1.34524E+07 32 SAFH 86 27 0 1 9.3 6 0.00011 1.28776E+07 33 SAFH 87 28 0 1 0.0013 5 6.2E-05 1.28778E+07 34 SAFH 88 29 0 1 5.6 5 4.8E-05 1.28005E+07 35 SAFH 89 30 0 1 0.00018 4 1.2E-05 1.28005E+07 36 SAFH 90 31 0 1 0.00017 3 1.2E-05 1.28005E+07 37 SAFH 91 32 0 1 0.00011 2 3.1E-06 1.28005E+07 38 SAFH 92 33 0 1 9.5E-05 1 1.8E-06 1.28006E+07 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFJL 93 34 0 1 5.4E-05 0 6.1E-07 1.28006E+07 40 SAFH 69 33 0 0.5 1.7E+02 5 0.95 3571.34 41 SAFH 73 34 0 0.5 28 7 0.53 434953 42 SAFH 76 35 0 0.5 37 7 0.47 529289 43 SAFH 79 36 0 0.5 40 6 0.95 592892 44 SAFH 81 37 0 0.5 38 7 0.3 1.02371E+06 45 SAFG 85 38 0 0.5 37 0 0 742218 45 FOUND SOLUTION: 742218 (NLP) in 2 sec. 46 SAFH 85 38 0 0.5 0.38 8 0.076 704636 47 SAFH 86 39 0 0.5 14 8 0.054 721831 48 SAFH 87 40 0 0.5 38 8 0.27 1.30161E+06 49 SAFH 88 41 0 0.5 29 8 0.12 1.26632E+06 50 SAFH 92 42 0 0.5 31 8 0.031 1.41972E+06 51 SAFH 95 43 0 0.5 0.72 8 0.0048 1.49053E+06 52 SAFG 99 44 0 0.5 33 0 0 734734 52 FOUND SOLUTION: 734734 (NLP) in 2 sec. 53 SAFH 99 44 0 0.5 0.11 8 0.012 724054 54 SAFH 100 45 0 0.5 34 8 0.007 1.43407E+06 55 SAFH 102 46 0 0.5 0.023 8 0.0024 1.43629E+06 56 SAFH 103 47 0 0.5 0.023 8 0.00015 1.43853E+06 57 SAFH 104 48 0 0.5 0.0068 7 0.00012 1.4392E+06 58 SAFH 105 49 0 0.5 0.00066 6 8.7E-05 1.43927E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 106 50 0 0.5 12 8 0.014 1.19144E+06 60 SAFH 107 51 0 0.5 0.047 8 0.0017 1.19606E+06 61 SAFH 108 52 0 0.5 0.017 8 0.00089 1.19773E+06 62 SAFH 109 53 0 0.5 0.011 8 0.00035 1.19879E+06 63 SAFH 110 54 0 0.5 0.0012 7 7E-05 1.19891E+06 64 SAFH 111 55 0 0.5 0.00015 6 4E-05 1.19892E+06 65 SAFH 112 56 0 0.5 0.00066 5 2.2E-05 1.19899E+06 66 SAFH 113 57 0 0.5 4.9E-05 4 2.1E-05 1.19899E+06 67 SAFH 114 58 0 0.5 4.4E-05 3 1.7E-05 1.199E+06 68 SAFH 115 59 0 0.5 0.00017 2 9E-06 1.19901E+06 69 SAFH 116 60 0 0.5 9.1E-05 1 2.7E-06 1.19902E+06 70 SAFJ 117 61 0 0.5 3.4E-05 0 2.3E-07 1.19903E+06 71 SAFJ 117 61 0 0.3 0 0 2.3E-07 1.19903E+06 72 SAFJ 117 61 0 0.2 0 0 2.3E-07 1.19903E+06 73 SAFJ 117 61 0 0.1 0 0 2.3E-07 1.19903E+06 74 AFG 117 61 0 0 39 0 5.6E-17 651628 74 FOUND SOLUTION: 651628 (NLP) in 168 sec. 75 AFH 117 61 0 0 0.66 8 0.056 587200 76 AFG 120 62 0 0 23 0 5.6E-17 634768 76 FOUND SOLUTION: 634768 (NLP) in 543 sec. 77 AFH 120 62 0 0 0.37 8 0.026 598651 78 AFG 122 63 0 0 25 0 5.6E-17 625282 78 FOUND SOLUTION: 625282 (NLP) in 1076 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 122 63 0 0 0.22 8 0.019 604132 80 AFG 125 64 0 0 31 0 5.6E-17 619529 80 FOUND SOLUTION: 619529 (NLP) in 1553 sec. 81 AFH 125 64 0 0 0.11 8 0.0085 608363 82 AFG 129 65 0 0 33 0 0 617216 82 FOUND SOLUTION: 617216 (NLP) in 1788 sec. 83 AFH 129 65 0 0 0.046 8 0.0029 612710 84 AFG 134 66 0 0 27 0 5.6E-17 615942 84 FOUND SOLUTION: 615942 (NLP) in 1964 sec. 85 AFH 134 66 0 0 0.016 7 0.0022 614383 86 AFG 136 67 0 0 10 0 0 615848 86 FOUND SOLUTION: 615848 (NLP) in 2164 sec. 87 AFH 136 67 0 0 0.0073 7 0.00068 615129 88 AFH 137 68 0 0 0.0021 6 0.00052 615339 89 AFG 138 69 0 0 4 0 0 615763 89 FOUND SOLUTION: 615763 (NLP) in 2548 sec. 90 AFH 138 69 0 0 0.0034 6 0.00052 615428 91 AFH 139 70 0 0 12 7 0.0003 615510 92 AFH 140 71 0 0 6.2 8 0.00027 615543 93 AFH 141 72 0 0 12 8 0.00066 615618 94 AFH 142 73 0 0 12 7 0.00017 615628 95 AFH 143 74 0 0 0.00051 6 0.00016 615679 96 AFH 144 75 0 0 12 3 6.8E-05 615715 97 AFH 145 76 0 0 0.00023 2 5.1E-05 615737 98 AFH 146 77 0 0 12 4 0.00014 615741 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 147 78 0 0 12 1 3.5E-05 615752 100 AFJ 148 79 0 0 0.00011 0 8.2E-07 615763 100 FOUND SOLUTION: 615763 in 3711 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.89_sssd-16-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 615763.36570073815528 Max constraint (3) : 0 Alternative solution : MIP Alt. objective value : 615762.91224619885907 Max constraint (18) : 8.1597178425152350201e-07 Time used (seconds) : 3710.64 Time limit (seconds) : 7200 Iterations used : 100 Iteration limit : -1 Function evaluations : 9192 Gradient evaluations : 172 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 27/100 NLP solver calls : 101 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-16-8-3.gms(324) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-16-8-3.gms Stop 09/14/12 15:41:00 elapsed 1:01:50.829 @04 1347630060 ----------------------------- Fr 14. Sep 15:41:00 CEST 2012 ----------------------------- =ready= Linux opt207 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-18-8-3.gms =========== ----------------------------- Fr 14. Sep 14:39:10 CEST 2012 ----------------------------- @03 1347626350 --- Job sssd-18-8-3.gms Start 09/14/12 14:39:10 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-18-8-3.gms(338) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- sssd-18-8-3.gms(336) 3 Mb --- Generating MINLP model m --- sssd-18-8-3.gms(338) 5 Mb --- 83 rows 201 columns 609 non-zeroes --- 169 nl-code 24 nl-non-zeroes --- 168 discrete-columns --- sssd-18-8-3.gms(338) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.90_sssd-18-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 609 elements of which 4% are non-linear(NL) included in 83 constraints of which 29% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 8 from a total of 201 variables: Continuous(33), Binary(168), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (60) infeasibile 0 H 0 0 0 1 0 24 0.011 NA 1 SAFG 24 1 0 1 2.3E+02 0 4.4E-13 1.76925E+07 1 FOUND SOLUTION: 1.76925E+07 (NLP) in 1 sec. 2 SAFH 24 1 0 1 2E+02 7 0.44 576632 3 SAFG 29 2 0 1 1.2E+02 0 4.2E-13 6.9611E+06 3 FOUND SOLUTION: 6.9611E+06 (NLP) in 1 sec. 4 SAFH 29 2 0 1 75 6 0.44 425987 5 SAFH 31 3 0 1 33 8 0.44 720770 6 SAFH 35 4 0 1 16 8 0.24 1.25194E+06 7 SAFH 39 5 0 1 10 8 0.12 2.14247E+06 8 SAFH 42 6 0 1 39 8 0.44 1.32098E+06 9 SAFG 44 7 0 1 44 0 5.6E-14 3.21496E+06 9 FOUND SOLUTION: 3.21496E+06 (NLP) in 1 sec. 10 SAFH 44 7 0 1 22 8 0.38 1.31617E+06 11 SAFH 45 8 0 1 43 8 0.44 823534 12 SAFG 46 9 0 1 28 0 5.5E-14 1.38215E+06 12 FOUND SOLUTION: 1.38215E+06 (NLP) in 1 sec. 13 SAFH 46 9 0 1 5.7 8 0.13 889201 14 SAFH 49 10 0 1 29 8 0.22 1.64019E+06 15 SAFH 51 11 0 1 9.7 8 0.1 2.48472E+06 16 SAFH 54 12 0 1 18 8 0.049 4.06809E+06 17 SAFG 57 13 0 1 75 0 2.8E-14 1.36352E+06 17 FOUND SOLUTION: 1.36352E+06 (NLP) in 1 sec. 18 SAFH 57 13 0 1 4.1 8 0.25 1.00447E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 58 14 0 1 0.88 8 0.11 1.08097E+06 20 SAFH 60 15 0 1 2 8 0.044 1.25188E+06 21 SAFH 62 16 0 1 58 8 0.43 1.36859E+06 22 SAFH 65 17 0 1 7.9 8 0.35 1.5121E+06 23 SAFH 66 18 0 1 14 8 0.17 1.74101E+06 24 SAFH 70 19 0 1 13 8 0.15 2.08259E+06 25 SAFH 71 20 0 1 9.6 8 0.072 2.39451E+06 26 SAFH 74 21 0 1 13 8 0.049 2.67863E+06 27 SAFH 76 22 0 1 16 8 0.034 2.07975E+06 28 SAFH 77 23 0 1 11 8 0.016 2.29072E+06 29 SAFH 81 24 0 1 21 8 0.024 2.98845E+06 30 SAFH 82 25 0 1 2.6 8 0.008 3.21037E+06 31 SAFH 85 26 0 1 7.1 8 0.031 3.35408E+06 32 SAFH 86 27 0 1 6.3 8 0.002 3.28138E+06 33 SAFH 89 28 0 1 0.12 8 0.00097 3.29221E+06 34 SAFH 90 29 0 1 0.059 8 0.00067 3.29732E+06 35 SAFH 91 30 0 1 0.034 8 0.00027 3.30031E+06 36 SAFH 92 31 0 1 0.051 8 7.8E-05 3.30477E+06 37 SAFH 93 32 0 1 6.3 8 0.0029 3.38228E+06 38 SAFH 94 33 0 1 0.016 8 0.0012 3.3837E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 95 34 0 1 6.3 7 6.6E-05 3.30478E+06 40 SAFH 96 35 0 1 0.00017 6 1.2E-05 3.30479E+06 41 SAFH 97 36 0 1 0.0012 5 8.5E-06 3.3049E+06 42 SAFH 98 37 0 1 4.3E-05 4 7.3E-06 3.3049E+06 43 SAFH 99 38 0 1 0.00045 3 4.2E-06 3.30494E+06 44 SAFH 100 39 0 1 1.8E-05 2 3.2E-06 3.30494E+06 45 SAFH 101 40 0 1 0.00017 1 1E-06 3.30496E+06 46 SAFJL 102 41 0 1 0.00019 0 7.5E-09 3.30498E+06 47 SAFG 78 40 0 0.5 60 0 6.2E-14 1.01459E+06 47 FOUND SOLUTION: 1.01459E+06 (NLP) in 2 sec. 48 SAFH 78 40 0 0.5 6.3 7 0.86 463538 49 SAFH 79 41 0 0.5 31 8 0.43 372649 50 SAFG 83 42 0 0.5 37 0 1.2E-14 675273 50 FOUND SOLUTION: 675273 (NLP) in 2 sec. 51 SAFH 83 42 0 0.5 0.68 7 0.29 616577 52 SAFG 84 43 0 0.5 19 0 1.1E-16 647987 52 FOUND SOLUTION: 647987 (NLP) in 2 sec. 53 SAFH 84 43 0 0.5 0.21 7 0.069 629943 54 SAFG 85 44 0 0.5 9.5 0 6.7E-16 645736 54 FOUND SOLUTION: 645736 (NLP) in 2 sec. 55 SAFH 85 44 0 0.5 0.38 7 0.08 612674 56 SAFH 86 45 0 0.5 13 7 0.026 809007 57 SAFH 90 46 0 0.5 21 7 0.12 630658 58 SAFH 91 47 0 0.5 13 7 0.015 848542 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 93 48 0 0.5 15 6 0.0056 1.0777E+06 60 SAFH 96 49 0 0.5 0.064 6 0.0011 1.08323E+06 61 SAFH 97 50 0 0.5 0.0035 6 0.00073 1.08354E+06 62 SAFH 98 51 0 0.5 0.0016 5 0.00016 1.08368E+06 63 SAFH 99 52 0 0.5 0.00045 4 7.3E-05 1.08372E+06 64 SAFH 100 53 0 0.5 0.00045 3 4.9E-05 1.08376E+06 65 SAFH 101 54 0 0.5 0.00013 2 4.3E-05 1.08377E+06 66 SAFH 102 55 0 0.5 0.00015 1 2.1E-06 1.08378E+06 67 SAFJ 103 56 0 0.5 6.9E-06 0 8E-07 1.08378E+06 68 SAFJ 103 56 0 0.3 0 0 8E-07 1.08378E+06 69 SAFJ 103 56 0 0.2 0 0 8E-07 1.08378E+06 70 SAFJ 103 56 0 0.1 0 0 8E-07 1.08378E+06 71 AFH 103 56 0 0 42 7 1 474167 72 AFG 104 57 0 0 21 0 5.6E-17 528971 72 FOUND SOLUTION: 528971 (NLP) in 191 sec. 73 AFH 104 57 0 0 0.19 8 0.02 512438 74 AFG 108 58 0 0 27 0 1.1E-16 525783 74 FOUND SOLUTION: 525783 (NLP) in 439 sec. 75 AFH 108 58 0 0 0.052 8 0.0042 521292 76 AFG 111 59 0 0 12 0 3.6E-10 525035 76 FOUND SOLUTION: 525035 (NLP) in 819 sec. 77 AFH 111 59 0 0 0.026 8 0.0021 522769 78 AFG 114 60 0 0 20 0 5.6E-17 524198 78 FOUND SOLUTION: 524198 (NLP) in 1548 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 114 60 0 0 0.011 8 0.00085 523245 80 AFH 115 61 0 0 4.1 8 0.00098 523442 81 AFG 116 62 0 0 4 0 0 524145 81 FOUND SOLUTION: 524145 (NLP) in 2453 sec. 82 AFH 116 62 0 0 0.0053 8 0.0007 523690 83 AFH 117 63 0 0 14 7 0.00086 523714 84 AFG 118 64 0 0 18 0 5.6E-17 524063 84 FOUND SOLUTION: 524063 (NLP) in 3258 sec. 85 AFH 118 64 0 0 0.0034 6 0.00048 523763 86 AFH 119 65 0 0 26 8 0.00053 523787 87 AFG 120 66 0 0 26 0 2.9E-10 524063 87 FOUND SOLUTION: 524063 (NLP) in 3986 sec. 88 AFH 120 66 0 0 0.002 5 0.00035 523892 89 AFH 121 67 0 0 26 7 0.00039 523965 90 AFH 122 68 0 0 26 4 0.00017 523992 91 AFH 123 69 0 0 26 6 0.00019 524020 92 AFH 124 70 0 0 24 4 0.00019 524030 93 AFH 125 71 0 0 4.1 3 4E-05 524037 94 AFH 126 72 0 0 0.00014 2 3.1E-05 524049 95 AFH 127 73 0 0 9.6E-05 1 2.2E-05 524057 96 AFJ 128 74 0 0 6E-05 0 4E-07 524063 96 FOUND SOLUTION: 524063 in 5649 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.90_sssd-18-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 524062.78754457528703 Max constraint (6) : 2.8528962525697920682e-10 Alternative solution : MIP Alt. objective value : 524062.59965286729857 Max constraint (9) : 4.0474174195503920259e-07 Time used (seconds) : 5648.86 Time limit (seconds) : 7200 Iterations used : 96 Iteration limit : -1 Function evaluations : 6816 Gradient evaluations : 152 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 26/96 NLP solver calls : 97 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-18-8-3.gms(338) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-18-8-3.gms Stop 09/14/12 16:13:19 elapsed 1:34:09.027 @04 1347631999 ----------------------------- Fr 14. Sep 16:13:19 CEST 2012 ----------------------------- =ready= Linux opt205 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-20-9-3.gms =========== ----------------------------- Fr 14. Sep 14:39:16 CEST 2012 ----------------------------- @03 1347626356 --- Job sssd-20-9-3.gms Start 09/14/12 14:39:16 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-20-9-3.gms(391) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- sssd-20-9-3.gms(389) 3 Mb --- Generating MINLP model m --- sssd-20-9-3.gms(391) 5 Mb --- 93 rows 244 columns 739 non-zeroes --- 190 nl-code 27 nl-non-zeroes --- 207 discrete-columns --- sssd-20-9-3.gms(391) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.91_sssd-20-9-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 739 elements of which 4% are non-linear(NL) included in 93 constraints of which 29% are NL The NL constraint signs: =E=(0), =G=(0), =L=(27) The number of variables in NL elements are 9 from a total of 244 variables: Continuous(37), Binary(207), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (67) infeasibile 0 H 0 0 0 1 0 27 0.011 NA 1 SAFG 27 1 0 1 5.2E+02 0 2.8E-12 3.68712E+07 1 FOUND SOLUTION: 3.68712E+07 (NLP) in 1 sec. 2 SAFH 27 1 0 1 4.7E+02 9 0.45 637884 3 SAFG 34 2 0 1 4.1E+02 0 2.4E-12 2.9621E+07 3 FOUND SOLUTION: 2.9621E+07 (NLP) in 1 sec. 4 SAFH 34 2 0 1 3.8E+02 7 0.39 735840 5 SAFH 38 3 0 1 16 7 0.33 1.26967E+06 6 SAFH 40 4 0 1 17 7 0.21 1.85932E+06 7 SAFG 44 5 0 1 50 0 6E-14 3.47963E+06 7 FOUND SOLUTION: 3.47963E+06 (NLP) in 1 sec. 8 SAFH 44 5 0 1 31 7 0.3 1.07304E+06 9 SAFG 46 6 0 1 31 0 1.2E-13 3.47963E+06 9 FOUND SOLUTION: 3.47963E+06 (NLP) in 1 sec. 10 SAFH 46 6 0 1 27 7 0.14 1.41138E+06 11 SAFG 50 7 0 1 29 0 1.1E-13 2.24021E+06 11 FOUND SOLUTION: 2.24021E+06 (NLP) in 1 sec. 12 SAFH 50 7 0 1 9.8 7 0.16 1.4883E+06 13 SAFG 51 8 0 1 12 0 1.1E-13 2.16803E+06 13 FOUND SOLUTION: 2.16803E+06 (NLP) in 1 sec. 14 SAFH 51 8 0 1 9.2 7 0.075 1.46093E+06 15 SAFH 54 9 0 1 22 7 0.048 2.14687E+06 16 SAFH 57 10 0 1 25 7 0.032 1.85874E+06 17 SAFH 59 11 0 1 5.7 7 0.2 2.05902E+06 18 SAFH 60 12 0 1 0.64 7 0.054 2.10824E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 61 13 0 1 0.31 7 0.011 2.13238E+06 20 SAFH 65 14 0 1 0.59 7 0.0049 2.17745E+06 21 SAFH 67 15 0 1 0.83 7 0.0013 2.24147E+06 22 SAFH 68 16 0 1 0.0026 7 0.00055 2.24167E+06 23 SAFH 69 17 0 1 0.013 7 0.00029 2.24269E+06 24 SAFH 70 18 0 1 0.0029 6 0.00029 2.24292E+06 25 SAFH 71 19 0 1 0.05 6 0.00022 2.24679E+06 26 SAFH 72 20 0 1 0.0076 5 0.0001 2.24737E+06 27 SAFH 73 21 0 1 0.00079 4 3.9E-05 2.24743E+06 28 SAFH 74 22 0 1 0.00087 3 2.4E-06 2.2475E+06 29 SAFH 75 23 0 1 3.6 3 0.035 2.30607E+06 30 SAFH 76 24 0 1 3.6 2 1.5E-06 2.2475E+06 31 SAFH 77 25 0 1 9.3 3 0.076 2.49414E+06 32 SAFH 78 26 0 1 9.3 1 1.1E-06 2.2475E+06 33 SAFJL 79 27 0 1 0.00019 0 2.8E-07 2.24752E+06 34 SAFG 52 26 0 0.5 88 0 1.1E-13 1.6202E+06 34 FOUND SOLUTION: 1.6202E+06 (NLP) in 1 sec. 35 SAFH 52 26 0 0.5 21 6 0.92 3827.58 36 SAFH 56 27 0 0.5 48 7 0.98 35735.5 37 SAFH 61 28 0 0.5 63 9 0.61 252340 38 SAFH 66 29 0 0.5 61 7 0.79 304924 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 69 30 0 0.5 35 8 0.44 366244 40 SAFG 72 31 0 0.5 50 0 2.8E-14 1.42135E+06 40 FOUND SOLUTION: 1.42135E+06 (NLP) in 1 sec. 41 SAFH 72 31 0 0.5 5 9 0.17 1.03323E+06 42 SAFG 74 32 0 0.5 36 0 4.9E-15 745486 42 FOUND SOLUTION: 745486 (NLP) in 1 sec. 43 SAFH 74 32 0 0.5 2.6 9 0.32 545250 44 SAFG 75 33 0 0.5 11 0 1.3E-14 578265 44 FOUND SOLUTION: 578265 (NLP) in 1 sec. 45 SAFH 75 33 0 0.5 1.3 9 0.11 477968 46 SAFG 77 34 0 0.5 8.9 0 1.2E-14 508426 46 FOUND SOLUTION: 508426 (NLP) in 2 sec. 47 SAFH 77 34 0 0.5 0.75 9 0.23 450504 48 SAFH 78 35 0 0.5 13 9 0.13 476470 49 SAFH 80 36 0 0.5 6.8 9 0.05 484306 50 SAFH 84 37 0 0.5 15 9 0.026 549924 51 SAFH 86 38 0 0.5 11 9 0.028 593919 52 SAFH 87 39 0 0.5 4.1 9 0.01 598212 53 SAFG 91 40 0 0.5 11 0 1.1E-16 489487 53 FOUND SOLUTION: 489487 (NLP) in 2 sec. 54 SAFH 91 40 0 0.5 0.078 9 0.015 483493 55 SAFH 92 41 0 0.5 0.035 9 0.0058 486221 56 SAFH 93 42 0 0.5 0.017 9 0.0028 487495 57 SAFG 95 43 0 0.5 0.026 0 5.5E-11 489487 57 FOUND SOLUTION: 489487 (NLP) in 2 sec. 58 SAFH 95 43 0 0.5 0.011 9 0.0012 488658 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 97 44 0 0.5 0.0066 9 0.00096 489169 60 SAFG 98 45 0 0.5 0.0041 0 1.8E-10 489487 60 FOUND SOLUTION: 489487 (NLP) in 2 sec. 61 SAFH 98 45 0 0.5 0.0018 9 0.00033 489350 62 SAFH 99 46 0 0.5 0.00083 8 0.00017 489413 63 SAFH 100 47 0 0.5 0.00053 7 6.9E-05 489454 64 SAFH 101 48 0 0.5 0.00018 6 5.7E-05 489468 65 SAFG 102 49 0 0.5 0.00025 0 2.5E-10 489487 65 FOUND SOLUTION: 489487 (NLP) in 2 sec. 66 SAFH 102 49 0 0.5 8.1E-05 5 1.2E-05 489481 67 SAFH 103 50 0 0.5 3.1E-05 4 7.4E-06 489483 68 SAFH 104 51 0 0.5 3.2E-05 3 2.6E-06 489486 69 SAFH 105 52 0 0.5 1E-05 2 1.5E-06 489487 70 SAFH 106 53 0 0.5 3E-06 1 1.4E-06 489487 71 SAFJ 107 54 0 0.5 3.5E-06 0 1.7E-07 489487 71 FOUND SOLUTION: 489487 in 2 sec. 72 SAFJ 107 54 0 0.3 0 0 1.7E-07 489487 73 SAFJ 107 54 0 0.2 0 0 1.7E-07 489487 74 SAFJ 107 54 0 0.1 0 0 1.7E-07 489487 75 AFH 107 54 0 0 45 9 0.5 432153 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.91_sssd-20-9-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 489487.1803812085418 Max constraint (15) : 2.4588153735294326907e-10 Alternative solution : MIP Alt. objective value : 489487.13168275065254 Max constraint (24) : 1.7247687716936965785e-07 Time used (seconds) : 7202.34 Time limit (seconds) : 7200 Iterations used : 76 Iteration limit : -1 Function evaluations : 7479 Gradient evaluations : 136 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 2/76 NLP solver calls : 75 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-20-9-3.gms(391) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-20-9-3.gms Stop 09/14/12 16:39:18 elapsed 2:00:02.544 @04 1347633558 ----------------------------- Fr 14. Sep 16:39:18 CEST 2012 ----------------------------- =ready= Linux opt208 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/StochasticServiceSystemDesign/gms/sssd-22-8-3.gms =========== ----------------------------- Fr 14. Sep 14:39:25 CEST 2012 ----------------------------- @03 1347626365 --- Job sssd-22-8-3.gms Start 09/14/12 14:39:25 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- sssd-22-8-3.gms(375) 2 Mb --- Starting execution: elapsed 0:00:00.005 --- sssd-22-8-3.gms(373) 3 Mb --- Generating MINLP model m --- sssd-22-8-3.gms(375) 5 Mb --- 87 rows 233 columns 705 non-zeroes --- 169 nl-code 24 nl-non-zeroes --- 200 discrete-columns --- sssd-22-8-3.gms(375) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.92_sssd-22-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 705 elements of which 3% are non-linear(NL) included in 87 constraints of which 28% are NL The NL constraint signs: =E=(0), =G=(0), =L=(24) The number of variables in NL elements are 8 from a total of 233 variables: Continuous(33), Binary(200), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (64) infeasibile 0 H 0 0 0 1 0 24 0.011 NA 1 SAFG 24 1 0 1 1.1E+02 0 1.6E-13 7.21613E+06 1 FOUND SOLUTION: 7.21613E+06 (NLP) in 1 sec. 2 SAFH 24 1 0 1 69 8 0.42 682487 3 SAFG 29 2 0 1 54 0 5.9E-15 2.46012E+06 3 FOUND SOLUTION: 2.46012E+06 (NLP) in 1 sec. 4 SAFH 29 2 0 1 15 8 0.28 1.05142E+06 5 SAFH 34 3 0 1 26 8 0.37 1.41249E+06 6 SAFH 35 4 0 1 1.6 8 0.16 1.56573E+06 7 SAFH 37 5 0 1 3.8 8 0.061 1.92454E+06 8 SAFH 43 6 0 1 55 6 0.34 1.21682E+06 9 SAFH 47 7 0 1 31 6 0.33 1.45039E+06 10 SAFH 48 8 0 1 4.3 6 0.14 1.58595E+06 11 SAFH 53 9 0 1 15 6 0.061 2.42007E+06 12 SAFH 57 10 0 1 11 6 0.026 3.44669E+06 13 SAFH 60 11 0 1 5.7 6 0.0092 3.98811E+06 14 SAFH 64 12 0 1 80 8 0.35 1.75473E+06 15 SAFH 65 13 0 1 1.4 8 0.14 1.89119E+06 16 SAFH 68 14 0 1 73 6 0.44 3.01185E+06 17 SAFH 69 15 0 1 2.1 6 0.21 3.21141E+06 18 SAFH 70 16 0 1 14 7 0.095 3.69785E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 72 17 0 1 19 6 0.1 3.79311E+06 20 SAFH 73 18 0 1 7.1 6 0.047 4.4628E+06 21 SAFH 76 19 0 1 23 7 0.039 4.20128E+06 22 SAFH 77 20 0 1 2 7 0.014 4.39437E+06 23 SAFH 79 21 0 1 35 6 0.02 5.66911E+06 24 SAFH 80 22 0 1 35 7 0.0051 4.52676E+06 25 SAFH 81 23 0 1 0.36 7 0.0013 4.56089E+06 26 SAFH 84 24 0 1 49 6 0.007 7.04655E+06 27 SAFH 85 25 0 1 12 6 0.0015 8.14542E+06 28 SAFH 86 26 0 1 4.3 6 0.00069 8.54766E+06 29 SAFH 87 27 0 1 0.39 6 0.00021 8.58441E+06 30 SAFH 88 28 0 1 0.016 5 0.00012 8.58594E+06 31 SAFH 89 29 0 1 0.37 4 1.4E-05 8.62124E+06 32 SAFH 90 30 0 1 0.00014 3 1.1E-05 8.62125E+06 33 SAFH 91 31 0 1 69 5 0.0058 4.55703E+06 34 SAFH 93 32 0 1 3.5 5 0.00065 4.61379E+06 35 SAFH 94 33 0 1 0.065 5 1.3E-05 4.6199E+06 36 SAFH 95 34 0 1 1.8E-05 4 1.1E-05 4.61991E+06 37 SAFH 96 35 0 1 0.00063 3 4.2E-06 4.61997E+06 38 SAFH 97 36 0 1 0.00042 2 3.6E-06 4.62001E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 98 37 0 1 1.6E-05 1 3.1E-06 4.62001E+06 40 SAFJL 99 38 0 1 1.1E-05 0 3.9E-07 4.62001E+06 41 SAFH 75 37 0 0.5 98 7 0.98 5489.59 42 SAFH 79 38 0 0.5 32 7 0.49 474672 43 SAFG 82 39 0 0.5 61 0 1.4E-15 2.1975E+06 43 FOUND SOLUTION: 2.1975E+06 (NLP) in 1 sec. 44 SAFH 82 39 0 0.5 19 8 0.36 423856 45 SAFH 87 40 0 0.5 52 8 0.55 2.39341E+06 46 SAFG 88 41 0 0.5 35 0 1.3E-15 768644 46 FOUND SOLUTION: 768644 (NLP) in 1 sec. 47 SAFH 88 41 0 0.5 0.78 8 0.097 695081 48 SAFH 90 42 0 0.5 23 8 0.18 776995 49 SAFH 91 43 0 0.5 19 8 0.022 772961 50 SAFH 92 44 0 0.5 0.17 8 0.0099 789142 51 SAFG 95 45 0 0.5 8.2 0 1.1E-16 651429 51 FOUND SOLUTION: 651429 (NLP) in 2 sec. 52 SAFH 95 45 0 0.5 0.24 8 0.069 628349 53 SAFH 97 46 0 0.5 23 8 0.028 738377 54 SAFH 99 47 0 0.5 25 8 0.03 705605 55 SAFH 100 48 0 0.5 25 8 0.73 817476 56 SAFH 101 49 0 0.5 26 8 0.019 1.01603E+06 57 SAFH 103 50 0 0.5 28 7 0.0056 1.25688E+06 58 SAFH 105 51 0 0.5 0.029 7 0.0023 1.25964E+06 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 106 52 0 0.5 14 8 0.0085 941590 60 SAFH 107 53 0 0.5 0.025 8 0.0011 943968 61 SAFH 108 54 0 0.5 15 8 0.0086 672841 62 SAFH 109 55 0 0.5 0.046 8 0.0013 677151 63 SAFH 110 56 0 0.5 9.1 8 0.0037 710951 64 SAFH 111 57 0 0.5 4.1 8 0.003 739595 65 SAFH 112 58 0 0.5 13 8 0.00073 944182 66 SAFH 113 59 0 0.5 0.0036 8 0.00047 944520 67 SAFH 114 60 0 0.5 0.012 8 0.00043 945623 68 SAFH 115 61 0 0.5 0.0022 7 0.00012 945828 69 SAFH 116 62 0 0.5 0.00037 6 5.6E-05 945864 70 SAFH 117 63 0 0.5 0.00019 5 2.4E-05 945882 71 SAFH 118 64 0 0.5 6.9E-05 4 2.3E-05 945888 72 SAFH 119 65 0 0.5 7.5E-05 3 1.8E-06 945895 73 SAFH 120 66 0 0.5 3.6E-06 2 1.2E-06 945895 74 SAFH 121 67 0 0.5 5.8E-06 1 1.1E-06 945896 75 SAFJ 122 68 0 0.5 2.7E-05 0 4.2E-07 945899 76 SAFJ 122 68 0 0.3 0 0 4.2E-07 945899 77 SAFJ 122 68 0 0.2 0 0 4.2E-07 945899 78 SAFJ 122 68 0 0.1 0 0 4.2E-07 945899 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFG 122 68 0 0 42 0 5.6E-17 609547 79 FOUND SOLUTION: 609547 (NLP) in 2581 sec. 80 AFH 122 68 0 0 0.26 8 0.059 584716 81 AFG 123 69 0 0 21 0 1.1E-16 602410 81 FOUND SOLUTION: 602410 (NLP) in 6399 sec. ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.92_sssd-22-8-3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 602410.40651579736732 Max constraint (24) : 1.1102230246251565404e-16 Alternative solution : MIP Alt. objective value : 602410.40651579736732 Max constraint (24) : 1.1102230246251565404e-16 Time used (seconds) : 7202.51 Time limit (seconds) : 7200 Iterations used : 82 Iteration limit : -1 Function evaluations : 7752 Gradient evaluations : 147 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 4/82 NLP solver calls : 81 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- sssd-22-8-3.gms(375) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job sssd-22-8-3.gms Stop 09/14/12 16:39:28 elapsed 2:00:02.715 @04 1347633568 ----------------------------- Fr 14. Sep 16:39:28 CEST 2012 ----------------------------- =ready= Linux opt216 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-15-60.gms =========== ----------------------------- Fr 14. Sep 14:39:32 CEST 2012 ----------------------------- @03 1347626372 --- Job uflquad-15-60.gms Start 09/14/12 14:39:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-15-60.gms(2593) 2 Mb --- Starting execution: elapsed 0:00:00.025 --- uflquad-15-60.gms(2592) 3 Mb --- Generating MIQCP model m --- uflquad-15-60.gms(2593) 6 Mb --- 961 rows 916 columns 3,616 non-zeroes --- 3,602 nl-code 900 nl-non-zeroes --- 15 discrete-columns --- uflquad-15-60.gms(2593) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.039 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.93_uflquad-15-60._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3616 elements of which 25% are non-linear(NL) included in 961 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 900 from a total of 916 variables: Continuous(901), Binary(15), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=187 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.9E+02 NA 1 SAFG 1 1 0 1 1.5E+02 0 0 1440.87 1 FOUND SOLUTION: 1440.87 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 1.2E+03 211.716 3 SAFH 2 2 0 1 1.2E+02 1 1.3E+03 225.125 4 SAFJL 3 3 0 1 0 0 2.3E-13 1501.82 5 SAFH 2 2 0 0.5 1.2E+02 1 2.5E+03 -960.866 6 SAFH 3 3 0 0.5 1.2E+02 1 3E+03 -941.866 7 SAFH 4 4 0 0.5 1.2E+02 1 2.8E+03 -914.866 8 SAFH 5 5 0 0.5 1.2E+02 1 3E+03 -905.866 9 SAFH 6 6 0 0.5 1.2E+02 1 3E+03 -901.866 10 SAFH 7 7 0 0.5 1.2E+02 1 2.5E+03 -886.866 11 SAFH 8 8 0 0.5 1.2E+02 1 2.9E+03 -863.866 12 SAFJ 9 9 0 0.5 1.2E+02 0 0 2118.96 13 SAFJ 9 9 0 0.3 0 0 0 2118.96 14 SAFJ 9 9 0 0.2 0 0 0 2118.96 15 SAFJ 9 9 0 0.1 0 0 0 2118.96 16 AFH 9 9 0 0 1.2E+02 1 2.9E+03 -851.866 17 AFH 10 10 0 0 1.2E+02 1 2.9E+03 -851.866 18 AFH 11 11 0 0 1.2E+02 1 3.1E+03 -847.866 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 12 12 0 0 1.2E+02 1 2.8E+03 -839.866 20 AFH 13 13 0 0 1.2E+02 1 2.8E+03 -838.866 21 AFH 14 14 0 0 1.2E+02 1 3.1E+03 -817.866 22 AFG 15 15 0 0 1.2E+02 0 0 1428.2 22 FOUND SOLUTION: 1428.2 (NLP) in 5 sec. 23 AFH 15 15 0 0 52 1 2.1E+03 -245.867 24 AFG 16 16 0 0 1.3E+02 0 0 1201.53 24 FOUND SOLUTION: 1201.53 (NLP) in 10 sec. 25 AFH 16 16 0 0 57 1 1.8E+03 -118.074 26 AFG 17 17 0 0 85 0 0 1134.24 26 FOUND SOLUTION: 1134.24 (NLP) in 14 sec. 27 AFH 17 17 0 0 63 1 1.7E+03 -8.25572 28 AFH 18 18 0 0 1.1E+02 1 2E+03 39.5151 29 AFH 19 19 0 0 94 1 1.6E+03 41.6227 30 AFH 20 20 0 0 1.1E+02 1 1.7E+03 44.5403 31 AFH 21 21 0 0 91 1 1.5E+03 50.0479 32 AFH 22 22 0 0 1.2E+02 1 2E+03 59.9603 33 AFH 23 23 0 0 1.3E+02 1 1.7E+03 82.8814 34 AFH 24 24 0 0 89 1 1.8E+03 84.8582 35 AFH 25 25 0 0 1.3E+02 1 1.9E+03 96.9081 36 AFH 26 26 0 0 1.1E+02 1 1.7E+03 102.946 37 AFH 27 27 0 0 1.3E+02 1 1.7E+03 104.841 38 AFH 28 28 0 0 1.2E+02 1 1.9E+03 109.262 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 29 29 0 0 1.3E+02 1 1.9E+03 111.473 40 AFH 30 30 0 0 1E+02 1 1.7E+03 116.02 41 AFH 31 31 0 0 1E+02 1 1.8E+03 122.257 42 AFH 32 32 0 0 82 1 1.8E+03 126.282 43 AFG 33 33 0 0 1.2E+02 0 0 1133.27 43 FOUND SOLUTION: 1133.27 (NLP) in 104 sec. 44 AFH 33 33 0 0 42 1 1.4E+03 127.762 45 AFH 34 34 0 0 1E+02 1 2E+03 136.886 46 AFH 35 35 0 0 1E+02 1 1.9E+03 141.91 47 AFH 36 36 0 0 1.1E+02 1 1.7E+03 142.459 48 AFH 37 37 0 0 1.2E+02 1 1.7E+03 142.949 49 AFH 38 38 0 0 99 1 1.9E+03 147.309 50 AFH 39 39 0 0 95 1 1.9E+03 149.103 51 AFH 40 40 0 0 1.1E+02 1 1.8E+03 155.527 52 AFG 41 41 0 0 86 0 0 1109.32 52 FOUND SOLUTION: 1109.32 (NLP) in 171 sec. 53 AFH 41 41 0 0 64 1 1.5E+03 155.647 54 AFH 42 42 0 0 1.1E+02 1 2E+03 160.939 55 AFH 43 43 0 0 1.1E+02 1 1.7E+03 161.194 56 AFH 44 44 0 0 1.2E+02 1 1.4E+03 163.075 57 AFH 45 45 0 0 98 1 2E+03 167.813 58 AFH 46 46 0 0 1.1E+02 1 1.7E+03 171.682 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 47 47 0 0 82 1 1.8E+03 174.603 60 AFH 48 48 0 0 1.2E+02 1 1.8E+03 175.472 61 AFH 49 49 0 0 1.2E+02 1 1.4E+03 176.226 62 AFH 50 50 0 0 1.2E+02 1 1.9E+03 180.593 63 AFH 51 51 0 0 90 1 1.7E+03 180.872 64 AFH 52 52 0 0 1E+02 1 1.9E+03 182.605 65 AFH 53 53 0 0 1.3E+02 1 1.9E+03 182.701 66 AFH 54 54 0 0 98 1 1.9E+03 183.796 67 AFH 55 55 0 0 1.1E+02 1 1.8E+03 183.879 68 AFH 56 56 0 0 1.2E+02 1 1.7E+03 184.092 69 AFH 57 57 0 0 98 1 1.4E+03 186.006 70 AFH 58 58 0 0 1.2E+02 1 1.8E+03 186.617 71 AFH 59 59 0 0 1.1E+02 1 2E+03 189.963 72 AFH 60 60 0 0 1.1E+02 1 1.5E+03 190.939 73 AFH 61 61 0 0 1.3E+02 1 2.1E+03 193.365 74 AFH 62 62 0 0 1.1E+02 1 1.9E+03 193.402 75 AFH 63 63 0 0 1.1E+02 1 1.9E+03 196.862 76 AFH 64 64 0 0 99 1 1.7E+03 197.389 77 AFH 65 65 0 0 1.3E+02 1 1.7E+03 201.322 78 AFH 66 66 0 0 1.2E+02 1 1.9E+03 202.187 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 67 67 0 0 96 1 1.7E+03 204.089 80 AFH 68 68 0 0 1.2E+02 1 1.7E+03 204.175 81 AFH 69 69 0 0 1.3E+02 1 1.9E+03 206.026 82 AFH 70 70 0 0 98 1 1.6E+03 207.385 83 AFH 71 71 0 0 1E+02 1 1.9E+03 208.129 84 AFH 72 72 0 0 1.3E+02 1 1.7E+03 208.211 85 AFH 73 73 0 0 1.3E+02 1 1.8E+03 208.446 86 AFH 74 74 0 0 1.2E+02 1 1.4E+03 209.13 87 AFH 75 75 0 0 1E+02 1 1.7E+03 210.418 88 AFH 76 76 0 0 1E+02 1 1.6E+03 210.737 89 AFH 77 77 0 0 1.1E+02 1 1.7E+03 212.126 90 AFH 78 78 0 0 1.1E+02 1 1.8E+03 212.626 91 AFH 79 79 0 0 94 1 1.6E+03 212.801 92 AFH 80 80 0 0 1.2E+02 1 1.5E+03 213.585 93 AFH 81 81 0 0 1.2E+02 1 1.9E+03 218.012 94 AFH 82 82 0 0 1.2E+02 1 1.9E+03 218.241 95 AFH 83 83 0 0 1.1E+02 1 1.9E+03 220.01 96 AFH 84 84 0 0 1.1E+02 1 1.9E+03 220.426 97 AFH 85 85 0 0 1.1E+02 1 1.5E+03 221.661 98 AFH 86 86 0 0 96 1 1.6E+03 222.443 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 87 87 0 0 96 1 1.7E+03 224.79 100 AFH 88 88 0 0 1.1E+02 1 1.6E+03 224.934 101 AFH 89 89 0 0 1.2E+02 1 1.9E+03 226.38 102 AFH 90 90 0 0 1.3E+02 1 1.7E+03 226.585 103 AFH 91 91 0 0 1E+02 1 1.8E+03 226.73 104 AFH 92 92 0 0 1E+02 1 1.8E+03 227.208 105 AFH 93 93 0 0 1.3E+02 1 2E+03 228.138 106 AFH 94 94 0 0 1.3E+02 1 1.8E+03 228.725 107 AFH 95 95 0 0 1.2E+02 1 1.6E+03 230.41 108 AFH 96 96 0 0 1.3E+02 1 2E+03 230.44 109 AFH 97 97 0 0 1.3E+02 1 1.7E+03 231.132 110 AFH 98 98 0 0 1E+02 1 1.7E+03 231.541 111 AFH 99 99 0 0 1E+02 1 1.9E+03 232.574 112 AFH 100 100 0 0 1.3E+02 1 2E+03 234.659 113 AFH 101 101 0 0 1.3E+02 1 1.7E+03 234.68 114 AFH 102 102 0 0 1.2E+02 1 1.5E+03 235.306 115 AFH 103 103 0 0 1.2E+02 1 1.8E+03 236.889 116 AFH 104 104 0 0 1.3E+02 1 2E+03 237.329 117 AFH 105 105 0 0 1.3E+02 1 1.8E+03 237.371 118 AFH 106 106 0 0 1.1E+02 1 1.7E+03 237.762 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 107 107 0 0 1.1E+02 1 1.7E+03 241.055 120 AFH 108 108 0 0 1.1E+02 1 1.6E+03 241.676 121 AFH 109 109 0 0 1.1E+02 1 1.7E+03 242.509 122 AFH 110 110 0 0 1.3E+02 1 1.9E+03 242.751 123 AFH 111 111 0 0 79 1 1.6E+03 242.955 124 AFH 112 112 0 0 94 1 1.5E+03 244.127 125 AFH 113 113 0 0 1.2E+02 1 1.7E+03 245.272 126 AFH 114 114 0 0 1.3E+02 1 2E+03 245.752 127 AFH 115 115 0 0 1.3E+02 1 1.9E+03 245.894 128 AFH 116 116 0 0 1.1E+02 1 2E+03 246.236 129 AFH 117 117 0 0 1.3E+02 1 1.7E+03 247.198 130 AFH 118 118 0 0 95 1 1.6E+03 247.774 131 AFH 119 119 0 0 1.1E+02 1 1.7E+03 248.14 132 AFH 120 120 0 0 1.3E+02 1 1.9E+03 250.004 133 AFH 121 121 0 0 1.2E+02 1 1.7E+03 250.368 134 AFH 122 122 0 0 1.2E+02 1 1.8E+03 250.53 135 AFH 123 123 0 0 95 1 1.6E+03 251.585 136 AFH 124 124 0 0 96 1 1.7E+03 252.778 137 AFH 125 125 0 0 1.1E+02 1 1.8E+03 254.269 138 AFH 126 126 0 0 1.1E+02 1 1.9E+03 254.647 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 127 127 0 0 97 1 1.7E+03 254.679 140 AFH 128 128 0 0 1.2E+02 1 1.7E+03 255.215 141 AFH 129 129 0 0 1.1E+02 1 1.9E+03 255.825 142 AFH 130 130 0 0 1.1E+02 1 1.5E+03 256.013 143 AFH 131 131 0 0 1.3E+02 1 2E+03 256.796 144 AFH 132 132 0 0 1.3E+02 1 1.9E+03 257.309 145 AFH 133 133 0 0 1.3E+02 1 1.7E+03 257.614 146 AFH 134 134 0 0 1.1E+02 1 1.8E+03 257.617 147 AFH 135 135 0 0 1E+02 1 2.1E+03 258.057 148 AFH 136 136 0 0 1.1E+02 1 2E+03 258.553 149 AFH 137 137 0 0 1E+02 1 1.7E+03 258.753 150 AFH 138 138 0 0 1.1E+02 1 1.7E+03 259.091 151 AFH 139 139 0 0 1.2E+02 1 1.7E+03 259.486 152 AFH 140 140 0 0 1.2E+02 1 1.5E+03 259.946 153 AFH 141 141 0 0 1.3E+02 1 1.8E+03 260.977 154 AFH 142 142 0 0 1.1E+02 1 1.6E+03 261.446 155 AFH 143 143 0 0 1E+02 1 1.7E+03 261.857 156 AFH 144 144 0 0 1.2E+02 1 1.5E+03 261.877 157 AFH 145 145 0 0 1.1E+02 1 1.7E+03 262.493 158 AFH 146 146 0 0 1.2E+02 1 1.7E+03 263.051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 147 147 0 0 1E+02 1 1.8E+03 263.301 160 AFH 148 148 0 0 1.1E+02 1 1.7E+03 263.386 161 AFH 149 149 0 0 1.1E+02 1 1.9E+03 263.482 162 AFH 150 150 0 0 1.1E+02 1 1.8E+03 264.029 163 AFH 151 151 0 0 90 1 1.7E+03 265.16 164 AFH 152 152 0 0 1.1E+02 1 1.7E+03 265.27 165 AFH 153 153 0 0 1E+02 1 1.9E+03 266.653 166 AFH 154 154 0 0 1.3E+02 1 1.6E+03 266.709 167 AFH 155 155 0 0 1.3E+02 1 1.8E+03 266.933 168 AFH 156 156 0 0 1E+02 1 1.7E+03 267.589 169 AFH 157 157 0 0 1.3E+02 1 1.5E+03 267.724 170 AFH 158 158 0 0 1.1E+02 1 1.9E+03 268.12 171 AFH 159 159 0 0 1.3E+02 1 1.9E+03 268.134 172 AFH 160 160 0 0 1.3E+02 1 1.7E+03 269.444 173 AFH 161 161 0 0 1.2E+02 1 1.5E+03 269.97 174 AFH 162 162 0 0 1.3E+02 1 1.7E+03 270.029 175 AFH 163 163 0 0 1.1E+02 1 1.7E+03 270.77 176 AFH 164 164 0 0 1.2E+02 1 1.8E+03 270.997 177 AFH 165 165 0 0 1.3E+02 1 1.6E+03 271.039 178 AFH 166 166 0 0 1.2E+02 1 1.7E+03 271.315 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 167 167 0 0 1.1E+02 1 1.7E+03 271.738 180 AFH 168 168 0 0 1E+02 1 1.4E+03 271.745 181 AFH 169 169 0 0 1.3E+02 1 1.8E+03 272.028 182 AFH 170 170 0 0 88 1 1.8E+03 272.291 183 AFH 171 171 0 0 1.3E+02 1 1.8E+03 272.486 184 AFH 172 172 0 0 1.3E+02 1 1.7E+03 273.122 185 AFH 173 173 0 0 1.1E+02 1 1.8E+03 273.619 186 AFH 174 174 0 0 1.3E+02 1 1.9E+03 274.676 187 AFH 175 175 0 0 1.2E+02 1 1.5E+03 274.686 188 AFH 176 176 0 0 76 1 1.4E+03 274.977 189 AFH 177 177 0 0 1.2E+02 1 1.8E+03 275.172 190 AFH 178 178 0 0 1.3E+02 1 1.7E+03 275.432 191 AFH 179 179 0 0 1.2E+02 1 1.5E+03 275.469 192 AFH 180 180 0 0 1.2E+02 1 2.1E+03 277.609 193 AFH 181 181 0 0 1.3E+02 1 1.7E+03 278.443 194 AFH 182 182 0 0 1.1E+02 1 1.8E+03 279.006 195 AFH 183 183 0 0 1.1E+02 1 1.7E+03 280.544 196 AFH 184 184 0 0 1.1E+02 1 1.8E+03 281.348 197 AFH 185 185 0 0 1.3E+02 1 1.7E+03 281.984 198 AFH 186 186 0 0 95 1 1.7E+03 282.483 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 187 187 0 0 97 1 1.6E+03 283.073 200 AFH 188 188 0 0 1.2E+02 1 1.8E+03 283.232 201 AFH 189 189 0 0 1.3E+02 1 1.5E+03 283.299 202 AFH 190 190 0 0 1.3E+02 1 1.3E+03 283.73 203 AFH 191 191 0 0 1E+02 1 1.7E+03 283.74 204 AFH 192 192 0 0 1.1E+02 1 1.7E+03 283.775 205 AFH 193 193 0 0 1.3E+02 1 1.3E+03 283.969 206 AFH 194 194 0 0 88 1 1.7E+03 284.164 207 AFH 195 195 0 0 90 1 1.8E+03 284.826 208 AFH 196 196 0 0 1.1E+02 1 1.7E+03 284.966 209 AFH 197 197 0 0 1.3E+02 1 1.8E+03 284.982 210 AFH 198 198 0 0 1.1E+02 1 1.9E+03 285.088 211 AFH 199 199 0 0 1.3E+02 1 1.7E+03 286.155 212 AFH 200 200 0 0 1E+02 1 1.6E+03 287.089 213 AFH 201 201 0 0 1.1E+02 1 1.7E+03 287.463 214 AFH 202 202 0 0 1.3E+02 1 1.8E+03 287.874 215 AFH 203 203 0 0 1.1E+02 1 1.8E+03 287.93 216 AFH 204 204 0 0 1.1E+02 1 1.7E+03 288.652 217 AFH 205 205 0 0 1.1E+02 1 1.6E+03 288.73 218 AFH 206 206 0 0 1.1E+02 1 1.7E+03 289.569 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 207 207 0 0 1E+02 1 1.6E+03 289.699 220 AFH 208 208 0 0 1.3E+02 1 1.6E+03 289.81 221 AFH 209 209 0 0 1.1E+02 1 1.8E+03 289.978 222 AFH 210 210 0 0 1.1E+02 1 1.9E+03 290.61 223 AFH 211 211 0 0 1.3E+02 1 1.7E+03 291.152 224 AFH 212 212 0 0 1.3E+02 1 1.8E+03 291.221 225 AFH 213 213 0 0 1.2E+02 1 1.3E+03 292.003 226 AFH 214 214 0 0 1.3E+02 1 1.5E+03 292.176 227 AFH 215 215 0 0 95 1 1.8E+03 293.391 228 AFH 216 216 0 0 1.3E+02 1 1.8E+03 293.406 229 AFH 217 217 0 0 1.3E+02 1 1.7E+03 293.452 230 AFH 218 218 0 0 1.3E+02 1 1.8E+03 293.495 231 AFH 219 219 0 0 1E+02 1 1.4E+03 293.789 232 AFH 220 220 0 0 1E+02 1 1.7E+03 294.308 233 AFH 221 221 0 0 1E+02 1 1.8E+03 295.044 234 AFH 222 222 0 0 94 1 1.7E+03 295.137 235 AFH 223 223 0 0 82 1 1.6E+03 295.309 236 AFH 224 224 0 0 1.1E+02 1 1.6E+03 295.572 237 AFH 225 225 0 0 1.1E+02 1 1.7E+03 296.655 238 AFH 226 226 0 0 1.1E+02 1 1.7E+03 296.864 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 227 227 0 0 1.1E+02 1 1.8E+03 297.009 240 AFH 228 228 0 0 1.1E+02 1 1.5E+03 297.04 241 AFH 229 229 0 0 1.2E+02 1 1.7E+03 297.693 242 AFH 230 230 0 0 1.1E+02 1 2E+03 298.359 243 AFH 231 231 0 0 1.3E+02 1 1.9E+03 298.435 244 AFH 232 232 0 0 89 1 1.8E+03 299.926 245 AFH 233 233 0 0 1.3E+02 1 1.5E+03 300.028 246 AFH 234 234 0 0 1.3E+02 1 2E+03 300.283 247 AFH 235 235 0 0 1.3E+02 1 1.7E+03 300.586 248 AFH 236 236 0 0 1.1E+02 1 1.6E+03 300.919 249 AFH 237 237 0 0 1.3E+02 1 1.5E+03 301.113 250 AFH 238 238 0 0 1.1E+02 1 1.7E+03 301.246 251 AFH 239 239 0 0 1.3E+02 1 1.8E+03 301.462 252 AFG 240 240 0 0 1.2E+02 0 0 1063.19 252 FOUND SOLUTION: 1063.19 (NLP) in 3828 sec. 253 AFH 240 240 0 0 45 1 1.2E+03 301.512 254 AFH 241 241 0 0 80 1 1.2E+03 301.528 255 AFH 242 242 0 0 1.2E+02 1 1.7E+03 301.587 256 AFH 243 243 0 0 1.1E+02 1 1.7E+03 302.364 257 AFH 244 244 0 0 1.3E+02 1 1.9E+03 302.5 258 AFH 245 245 0 0 91 1 1.9E+03 302.536 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 246 246 0 0 1.3E+02 1 1.7E+03 303.039 260 AFH 247 247 0 0 1.2E+02 1 1.8E+03 303.828 261 AFH 248 248 0 0 1.2E+02 1 1.5E+03 304.048 262 AFH 249 249 0 0 1E+02 1 1.8E+03 305.446 263 AFH 250 250 0 0 1.3E+02 1 1.8E+03 305.807 264 AFH 251 251 0 0 1.1E+02 1 1.5E+03 306.03 265 AFH 252 252 0 0 1.1E+02 1 1.7E+03 306.175 266 AFH 253 253 0 0 1.1E+02 1 1.7E+03 306.514 267 AFH 254 254 0 0 1.3E+02 1 1.8E+03 306.971 268 AFH 255 255 0 0 1.1E+02 1 1.8E+03 307.082 269 AFH 256 256 0 0 1.1E+02 1 1.7E+03 307.485 270 AFH 257 257 0 0 1.1E+02 1 1.6E+03 308.006 271 AFH 258 258 0 0 1.1E+02 1 1.9E+03 308.062 272 AFH 259 259 0 0 1.1E+02 1 1.6E+03 308.133 273 AFH 260 260 0 0 1.1E+02 1 1.8E+03 308.236 274 AFH 261 261 0 0 1.3E+02 1 1.6E+03 308.276 275 AFH 262 262 0 0 1.3E+02 1 1.7E+03 308.695 276 AFH 263 263 0 0 1.3E+02 1 1.5E+03 308.907 277 AFH 264 264 0 0 91 1 1.7E+03 309.22 278 AFH 265 265 0 0 1.1E+02 1 1.5E+03 309.255 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 266 266 0 0 1.2E+02 1 1.5E+03 309.36 280 AFH 267 267 0 0 1.3E+02 1 1.8E+03 310.298 281 AFH 268 268 0 0 1.1E+02 1 1.6E+03 310.436 282 AFH 269 269 0 0 1.3E+02 1 1.9E+03 310.584 283 AFH 270 270 0 0 85 1 1.7E+03 310.837 284 AFH 271 271 0 0 1.1E+02 1 1.7E+03 311.019 285 AFH 272 272 0 0 1.1E+02 1 1.5E+03 311.036 286 AFH 273 273 0 0 1.1E+02 1 1.5E+03 311.746 287 AFH 274 274 0 0 1E+02 1 1.9E+03 311.807 288 AFH 275 275 0 0 1.1E+02 1 1.7E+03 311.857 289 AFH 276 276 0 0 93 1 1.7E+03 311.969 290 AFH 277 277 0 0 1.3E+02 1 1.5E+03 312.305 291 AFH 278 278 0 0 1.2E+02 1 1.6E+03 312.442 292 AFH 279 279 0 0 91 1 1.6E+03 312.583 293 AFH 280 280 0 0 1.2E+02 1 1.6E+03 312.852 294 AFH 281 281 0 0 1.3E+02 1 1.6E+03 313.152 295 AFH 282 282 0 0 1.1E+02 1 1.8E+03 313.482 296 AFH 283 283 0 0 1.3E+02 1 1.7E+03 313.97 297 AFH 284 284 0 0 1.3E+02 1 1.8E+03 314.023 298 AFH 285 285 0 0 1.1E+02 1 1.8E+03 314.107 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 286 286 0 0 1.3E+02 1 1.5E+03 314.347 300 AFH 287 287 0 0 1.1E+02 1 1.7E+03 314.405 301 AFH 288 288 0 0 1.2E+02 1 1.4E+03 314.574 302 AFH 289 289 0 0 1.2E+02 1 1.7E+03 314.837 303 AFH 290 290 0 0 1.3E+02 1 1.8E+03 315.015 304 AFH 291 291 0 0 1.1E+02 1 1.8E+03 315.299 305 AFH 292 292 0 0 1.1E+02 1 1.5E+03 315.917 306 AFH 293 293 0 0 1E+02 1 1.7E+03 316.441 307 AFH 294 294 0 0 1.3E+02 1 1.6E+03 316.468 308 AFH 295 295 0 0 1.1E+02 1 1.7E+03 317.075 309 AFH 296 296 0 0 1.1E+02 1 1.8E+03 317.476 310 AFH 297 297 0 0 1.3E+02 1 1.6E+03 317.713 311 AFH 298 298 0 0 92 1 1.7E+03 317.76 312 AFH 299 299 0 0 1.2E+02 1 1.8E+03 318.026 313 AFH 300 300 0 0 1.2E+02 1 1.4E+03 318.349 314 AFH 301 301 0 0 1.3E+02 1 1.6E+03 318.366 315 AFH 302 302 0 0 87 1 1.6E+03 319.328 316 AFH 303 303 0 0 1.1E+02 1 1.8E+03 319.41 317 AFH 304 304 0 0 1.3E+02 1 1.5E+03 319.51 318 AFH 305 305 0 0 1.3E+02 1 1.9E+03 319.524 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 306 306 0 0 1.1E+02 1 1.7E+03 319.641 320 AFH 307 307 0 0 90 1 1.8E+03 319.817 321 AFH 308 308 0 0 1.3E+02 1 1.7E+03 320.143 322 AFH 309 309 0 0 1.1E+02 1 1.5E+03 320.692 323 AFH 310 310 0 0 1.3E+02 1 1.8E+03 320.847 324 AFH 311 311 0 0 1.1E+02 1 1.3E+03 320.96 325 AFH 312 312 0 0 1.2E+02 1 1.6E+03 321.043 326 AFH 313 313 0 0 1.1E+02 1 1.8E+03 321.537 327 AFH 314 314 0 0 1.1E+02 1 1.5E+03 322.034 328 AFH 315 315 0 0 1.2E+02 1 1.8E+03 322.296 329 AFH 316 316 0 0 1.2E+02 1 1.5E+03 322.311 330 AFH 317 317 0 0 1.2E+02 1 1.6E+03 322.578 331 AFH 318 318 0 0 1.1E+02 1 1.7E+03 322.732 332 AFH 319 319 0 0 88 1 1.6E+03 322.76 333 AFH 320 320 0 0 1.1E+02 1 1.8E+03 322.879 334 AFH 321 321 0 0 1.2E+02 1 1.6E+03 322.889 335 AFH 322 322 0 0 1E+02 1 1.5E+03 323.245 336 AFH 323 323 0 0 1.3E+02 1 1.7E+03 323.572 337 AFH 324 324 0 0 1E+02 1 1.6E+03 323.83 338 AFH 325 325 0 0 1.1E+02 1 1.6E+03 323.896 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 326 326 0 0 1.1E+02 1 1.8E+03 324.209 340 AFH 327 327 0 0 1.3E+02 1 1.7E+03 324.241 341 AFH 328 328 0 0 89 1 1.5E+03 324.359 342 AFH 329 329 0 0 92 1 1.5E+03 324.555 343 AFH 330 330 0 0 91 1 1.5E+03 324.739 344 AFH 331 331 0 0 73 1 1.4E+03 325.284 345 AFH 332 332 0 0 1.2E+02 1 1.7E+03 325.42 346 AFH 333 333 0 0 1.1E+02 1 1.8E+03 325.605 347 AFH 334 334 0 0 1.3E+02 1 1.8E+03 325.653 348 AFH 335 335 0 0 1.3E+02 1 1.7E+03 326.534 349 AFH 336 336 0 0 1.1E+02 1 1.6E+03 326.764 350 AFH 337 337 0 0 1.1E+02 1 1.7E+03 327.508 351 AFH 338 338 0 0 1.3E+02 1 1.9E+03 328.235 352 AFH 339 339 0 0 90 1 1.5E+03 328.499 353 AFH 340 340 0 0 1.1E+02 1 1.7E+03 329.324 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.93_uflquad-15-60._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 1063.193097669837698 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 1063.193097669837698 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 354 Iteration limit : -1 Function evaluations : 379 Gradient evaluations : 342 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 339/354 NLP solver calls : 353 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-15-60.gms(2593) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-15-60.gms Stop 09/14/12 16:39:34 elapsed 2:00:02.254 @04 1347633574 ----------------------------- Fr 14. Sep 16:39:34 CEST 2012 ----------------------------- =ready= Linux opt228 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-15-80.gms =========== ----------------------------- Fr 14. Sep 14:39:39 CEST 2012 ----------------------------- @03 1347626379 --- Job uflquad-15-80.gms Start 09/14/12 14:39:39 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-15-80.gms(3474) 3 Mb --- Starting execution: elapsed 0:00:00.031 --- uflquad-15-80.gms(3472) 3 Mb --- Generating MIQCP model m --- uflquad-15-80.gms(3474) 6 Mb --- 1,281 rows 1,216 columns 4,816 non-zeroes --- 4,802 nl-code 1,200 nl-non-zeroes --- 15 discrete-columns --- uflquad-15-80.gms(3474) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.049 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.94_uflquad-15-80._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4816 elements of which 25% are non-linear(NL) included in 1281 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 1200 from a total of 1216 variables: Continuous(1201), Binary(15), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=249 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 3.5E+02 NA 1 SAFG 1 1 0 1 2E+02 0 0 1776.68 1 FOUND SOLUTION: 1776.68 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 1.5E+03 282.104 3 SAFJL 2 2 0 1 0 0 0 1776.68 4 SAFH 1 1 0 0.5 1.6E+02 1 3.6E+03 -1248.68 5 SAFH 2 2 0 0.5 1.6E+02 1 3.7E+03 -1225.68 6 SAFH 3 3 0 0.5 1.6E+02 1 3.6E+03 -1215.68 7 SAFH 4 4 0 0.5 1.6E+02 1 3.3E+03 -1213.68 8 SAFH 5 5 0 0.5 1.6E+02 1 3.5E+03 -1183.68 9 SAFH 6 6 0 0.5 1.6E+02 1 4E+03 -1136.68 10 SAFJ 7 7 0 0.5 0 0 0 2831.36 11 SAFJ 7 7 0 0.3 0 0 0 2831.36 12 SAFJ 7 7 0 0.2 0 0 0 2831.36 13 SAFJ 7 7 0 0.1 0 0 0 2831.36 14 AFH 7 7 0 0 1.6E+02 1 2.9E+03 -1108.68 15 AFH 8 8 0 0 1.6E+02 1 3.6E+03 -1107.68 16 AFH 9 9 0 0 1.6E+02 1 3.5E+03 -1086.68 17 AFH 10 10 0 0 1.6E+02 1 3.5E+03 -1080.68 18 AFH 11 11 0 0 1.6E+02 1 3.5E+03 -1072.68 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 12 12 0 0 1.6E+02 1 3E+03 -1071.68 20 AFH 13 13 0 0 1.6E+02 1 3.5E+03 -1070.68 21 AFH 14 14 0 0 1.6E+02 1 3.1E+03 -1066.68 22 AFG 15 15 0 0 1.6E+02 0 0 1217.99 22 FOUND SOLUTION: 1217.99 (NLP) in 6 sec. 23 AFH 15 15 0 0 71 1 2.4E+03 -621.075 24 AFH 16 16 0 0 1.6E+02 1 2.6E+03 -353.77 25 AFH 17 17 0 0 1.3E+02 1 2.7E+03 -277.138 26 AFH 18 18 0 0 1.1E+02 1 2.5E+03 -257.376 27 AFH 19 19 0 0 1.4E+02 1 2.9E+03 -236.772 28 AFH 20 20 0 0 1E+02 1 2.7E+03 -229.52 29 AFH 21 21 0 0 1.7E+02 1 2.7E+03 -229.377 30 AFH 22 22 0 0 1.4E+02 1 2.6E+03 -219.77 31 AFH 23 23 0 0 1.5E+02 1 2.5E+03 -212.77 32 AFH 24 24 0 0 1.3E+02 1 2.5E+03 -203.043 33 AFH 25 25 0 0 1.5E+02 1 2.6E+03 -199.453 34 AFH 26 26 0 0 1.7E+02 1 2.8E+03 -198.77 35 AFH 27 27 0 0 1.7E+02 1 2.5E+03 -191.77 36 AFH 28 28 0 0 1.7E+02 1 2.7E+03 -183.814 37 AFH 29 29 0 0 1.5E+02 1 2.5E+03 -179.999 38 AFH 30 30 0 0 1.7E+02 1 2.5E+03 -175.241 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 31 31 0 0 1.7E+02 1 2.7E+03 -174.733 40 AFH 32 32 0 0 1.7E+02 1 2.5E+03 -173.492 41 AFH 33 33 0 0 1.4E+02 1 2.5E+03 -169.167 42 AFH 34 34 0 0 1.4E+02 1 2.6E+03 -167.593 43 AFH 35 35 0 0 1.5E+02 1 2.6E+03 -162.748 44 AFH 36 36 0 0 1.4E+02 1 2.7E+03 -161.541 45 AFH 37 37 0 0 1.4E+02 1 2.6E+03 -155.754 46 AFH 38 38 0 0 1.5E+02 1 2.6E+03 -151.56 47 AFH 39 39 0 0 1.2E+02 1 2.9E+03 -146.66 48 AFH 40 40 0 0 1.7E+02 1 2.4E+03 -143.505 49 AFH 41 41 0 0 1.5E+02 1 2.6E+03 -142.292 50 AFH 42 42 0 0 1.5E+02 1 2.7E+03 -138.77 51 AFH 43 43 0 0 1.7E+02 1 2.4E+03 -136.665 52 AFH 44 44 0 0 1.4E+02 1 2.7E+03 -133.77 53 AFH 45 45 0 0 1.7E+02 1 2.4E+03 -130.533 54 AFH 46 46 0 0 1.4E+02 1 2.7E+03 -129.57 55 AFH 47 47 0 0 1.1E+02 1 2.4E+03 -125.2 56 AFH 48 48 0 0 1.7E+02 1 2.8E+03 -125.037 57 AFH 49 49 0 0 1.4E+02 1 2.6E+03 -124.505 58 AFH 50 50 0 0 1.4E+02 1 2.8E+03 -121.865 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 51 51 0 0 1.4E+02 1 2.6E+03 -121.301 60 AFH 52 52 0 0 1.3E+02 1 2.5E+03 -117.82 61 AFH 53 53 0 0 1.4E+02 1 2.7E+03 -115.777 62 AFH 54 54 0 0 1.4E+02 1 2.6E+03 -115.584 63 AFH 55 55 0 0 1.4E+02 1 2.7E+03 -113.098 64 AFH 56 56 0 0 1.4E+02 1 2.6E+03 -111.506 65 AFH 57 57 0 0 1.5E+02 1 2.5E+03 -109.366 66 AFH 58 58 0 0 1.7E+02 1 2.7E+03 -103.946 67 AFH 59 59 0 0 1.7E+02 1 2.6E+03 -102.798 68 AFH 60 60 0 0 1.4E+02 1 2.5E+03 -99.7202 69 AFH 61 61 0 0 1.7E+02 1 2.4E+03 -96.2854 70 AFH 62 62 0 0 1.3E+02 1 2.1E+03 -94.0679 71 AFH 63 63 0 0 1.6E+02 1 2.4E+03 -93.7959 72 AFH 64 64 0 0 1.5E+02 1 2.4E+03 -90.9457 73 AFH 65 65 0 0 1.7E+02 1 2.5E+03 -90.4931 74 AFH 66 66 0 0 1.7E+02 1 2.6E+03 -90.1013 75 AFH 67 67 0 0 1.4E+02 1 2.4E+03 -89.916 76 AFH 68 68 0 0 1.7E+02 1 2.7E+03 -85.8986 77 AFH 69 69 0 0 1.4E+02 1 2.7E+03 -84.9714 78 AFH 70 70 0 0 1.7E+02 1 2.5E+03 -84.9414 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 71 71 0 0 1.2E+02 1 2.4E+03 -83.8398 80 AFH 72 72 0 0 1.5E+02 1 2.6E+03 -82.1318 81 AFH 73 73 0 0 1.1E+02 1 2.5E+03 -81.5212 82 AFH 74 74 0 0 1.4E+02 1 2.3E+03 -75.4871 83 AFH 75 75 0 0 1.7E+02 1 2.7E+03 -73.7305 84 AFH 76 76 0 0 1.7E+02 1 2.3E+03 -70.4478 85 AFH 77 77 0 0 1.7E+02 1 2.6E+03 -68.6776 86 AFH 78 78 0 0 1.3E+02 1 2.7E+03 -67.6396 87 AFH 79 79 0 0 1.1E+02 1 2.3E+03 -67.1459 88 AFH 80 80 0 0 1.5E+02 1 2.7E+03 -66.1297 89 AFH 81 81 0 0 1.7E+02 1 2.4E+03 -65.8421 90 AFH 82 82 0 0 1.5E+02 1 2.6E+03 -65.2401 91 AFH 83 83 0 0 1.7E+02 1 2.6E+03 -63.226 92 AFH 84 84 0 0 1.5E+02 1 2.5E+03 -62.2602 93 AFH 85 85 0 0 1.4E+02 1 2.3E+03 -61.1892 94 AFH 86 86 0 0 1.5E+02 1 2.5E+03 -60.429 95 AFH 87 87 0 0 1.7E+02 1 2.4E+03 -60.1769 96 AFH 88 88 0 0 1.4E+02 1 2.1E+03 -58.8021 97 AFH 89 89 0 0 1.1E+02 1 2.2E+03 -55.5834 98 AFH 90 90 0 0 1.4E+02 1 2.4E+03 -54.0355 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 91 91 0 0 1.7E+02 1 1.8E+03 -52.5741 100 AFH 92 92 0 0 1.6E+02 1 2.6E+03 -50.1464 101 AFH 93 93 0 0 1.4E+02 1 2.3E+03 -49.4082 102 AFH 94 94 0 0 1.4E+02 1 2.2E+03 -49.3523 103 AFH 95 95 0 0 1.7E+02 1 2.4E+03 -47.8457 104 AFH 96 96 0 0 1.3E+02 1 2E+03 -46.8697 105 AFH 97 97 0 0 1.4E+02 1 2.7E+03 -46.5619 106 AFH 98 98 0 0 1.2E+02 1 2.6E+03 -44.6572 107 AFH 99 99 0 0 1.4E+02 1 2.4E+03 -43.1819 108 AFH 100 100 0 0 1.6E+02 1 2E+03 -41.7361 109 AFH 101 101 0 0 1.6E+02 1 2.4E+03 -38.4828 110 AFH 102 102 0 0 1.2E+02 1 2.5E+03 -37.2794 111 AFH 103 103 0 0 1.2E+02 1 2.4E+03 -36.8972 112 AFH 104 104 0 0 1.1E+02 1 2.5E+03 -36.0499 113 AFH 105 105 0 0 1.4E+02 1 2.3E+03 -35.7388 114 AFH 106 106 0 0 1.4E+02 1 2.7E+03 -32.4714 115 AFH 107 107 0 0 1.2E+02 1 2.5E+03 -31.7891 116 AFH 108 108 0 0 1.5E+02 1 2.6E+03 -30.9467 117 AFH 109 109 0 0 1.4E+02 1 2.6E+03 -30.8622 118 AFH 110 110 0 0 1.3E+02 1 2.7E+03 -24.6578 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 111 111 0 0 1.2E+02 1 2.6E+03 -23.9467 120 AFH 112 112 0 0 1.4E+02 1 2.5E+03 -23.7512 121 AFH 113 113 0 0 1.7E+02 1 2.6E+03 -22.9259 122 AFH 114 114 0 0 1.7E+02 1 2.3E+03 -22.7137 123 AFH 115 115 0 0 1.7E+02 1 2.5E+03 -22.2931 124 AFH 116 116 0 0 1.5E+02 1 2.4E+03 -21.8425 125 AFH 117 117 0 0 1.2E+02 1 2.3E+03 -20.379 126 AFH 118 118 0 0 1.5E+02 1 2.3E+03 -18.5182 127 AFH 119 119 0 0 1.7E+02 1 2.2E+03 -17.642 128 AFH 120 120 0 0 1.4E+02 1 2.2E+03 -15.7508 129 AFH 121 121 0 0 1.7E+02 1 2.2E+03 -15.5615 130 AFH 122 122 0 0 1.4E+02 1 2.5E+03 -15.3865 131 AFH 123 123 0 0 1.4E+02 1 2.4E+03 -13.4713 132 AFH 124 124 0 0 1.4E+02 1 2.6E+03 -10.0246 133 AFH 125 125 0 0 1.7E+02 1 2.3E+03 -5.89548 134 AFH 126 126 0 0 1.7E+02 1 2.2E+03 -3.18617 135 AFH 127 127 0 0 1.5E+02 1 2.2E+03 -1.9485 136 AFH 128 128 0 0 1.4E+02 1 2.4E+03 -1.70971 137 AFH 129 129 0 0 1.5E+02 1 2.6E+03 -0.561169 138 AFH 130 130 0 0 1.7E+02 1 2.3E+03 -0.179126 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 131 131 0 0 1.7E+02 1 2.5E+03 0.173508 140 AFH 132 132 0 0 1.7E+02 1 2.5E+03 0.859347 141 AFH 133 133 0 0 1.4E+02 1 2.3E+03 1.33481 142 AFH 134 134 0 0 1.5E+02 1 2.6E+03 2.07736 143 AFH 135 135 0 0 1.4E+02 1 2.4E+03 3.55986 144 AFH 136 136 0 0 1.5E+02 1 2.2E+03 3.74297 145 AFH 137 137 0 0 1.4E+02 1 2.3E+03 6.63879 146 AFH 138 138 0 0 1.5E+02 1 2.5E+03 7.09503 147 AFH 139 139 0 0 1.2E+02 1 2.6E+03 8.6613 148 AFH 140 140 0 0 1.5E+02 1 2.4E+03 10.9774 149 AFH 141 141 0 0 1.7E+02 1 2.4E+03 11.0029 150 AFH 142 142 0 0 1.4E+02 1 2.5E+03 11.976 151 AFH 143 143 0 0 1.3E+02 1 2.4E+03 12.8111 152 AFH 144 144 0 0 1.3E+02 1 2.5E+03 13.0147 153 AFH 145 145 0 0 1.4E+02 1 2.3E+03 13.366 154 AFH 146 146 0 0 1.5E+02 1 2.6E+03 13.4649 155 AFH 147 147 0 0 1.6E+02 1 1.9E+03 13.5211 156 AFH 148 148 0 0 1.6E+02 1 2.5E+03 13.9836 157 AFH 149 149 0 0 1.4E+02 1 2.4E+03 14.5259 158 AFH 150 150 0 0 1.5E+02 1 2.6E+03 15.2902 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 151 151 0 0 1.5E+02 1 2.5E+03 16.4034 160 AFH 152 152 0 0 1.3E+02 1 2.5E+03 16.4073 161 AFH 153 153 0 0 1.5E+02 1 2.3E+03 18.0541 162 AFH 154 154 0 0 1.7E+02 1 2.4E+03 18.3892 163 AFH 155 155 0 0 1.4E+02 1 2E+03 19.7012 164 AFH 156 156 0 0 1.4E+02 1 2.3E+03 21.6788 165 AFH 157 157 0 0 1.5E+02 1 2.4E+03 22.6653 166 AFH 158 158 0 0 1.7E+02 1 2.1E+03 24.8517 167 AFH 159 159 0 0 1.4E+02 1 2.6E+03 25.7186 168 AFH 160 160 0 0 1.4E+02 1 2.5E+03 26.7734 169 AFH 161 161 0 0 1.2E+02 1 2.4E+03 27.4027 170 AFH 162 162 0 0 1.7E+02 1 2.3E+03 28.4718 171 AFH 163 163 0 0 99 1 1.9E+03 31.3777 172 AFH 164 164 0 0 1.3E+02 1 2.5E+03 31.7098 173 AFH 165 165 0 0 1.5E+02 1 2.3E+03 33.8278 174 AFH 166 166 0 0 1.4E+02 1 2.2E+03 33.9349 175 AFH 167 167 0 0 1.4E+02 1 2.5E+03 34.7661 176 AFH 168 168 0 0 1.4E+02 1 2.3E+03 34.8819 177 AFH 169 169 0 0 1.5E+02 1 2.5E+03 36.3364 178 AFH 170 170 0 0 1.7E+02 1 2.4E+03 39.528 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 171 171 0 0 1.4E+02 1 2.2E+03 39.5755 180 AFH 172 172 0 0 1.4E+02 1 2.4E+03 39.5811 181 AFH 173 173 0 0 1.4E+02 1 2.6E+03 40.6169 182 AFH 174 174 0 0 1.3E+02 1 2.4E+03 41.5805 183 AFH 175 175 0 0 1.5E+02 1 2.5E+03 41.6872 184 AFH 176 176 0 0 1.5E+02 1 2.3E+03 41.7008 185 AFH 177 177 0 0 1.7E+02 1 2.2E+03 42.3686 186 AFH 178 178 0 0 1.3E+02 1 2.3E+03 43.8135 187 AFH 179 179 0 0 1E+02 1 1.8E+03 44.1852 188 AFH 180 180 0 0 1.4E+02 1 2.3E+03 44.8141 189 AFH 181 181 0 0 1.7E+02 1 2.4E+03 45.3984 190 AFH 182 182 0 0 1.4E+02 1 2.5E+03 46.2098 191 AFH 183 183 0 0 1.4E+02 1 2.5E+03 46.3675 192 AFH 184 184 0 0 1.4E+02 1 2.5E+03 48.683 193 AFH 185 185 0 0 1.4E+02 1 2.4E+03 48.7465 194 AFH 186 186 0 0 1.5E+02 1 2.1E+03 49.7656 195 AFH 187 187 0 0 1.4E+02 1 2.4E+03 51.2759 196 AFH 188 188 0 0 1.4E+02 1 2.1E+03 51.5811 197 AFH 189 189 0 0 1.5E+02 1 2.5E+03 53.4764 198 AFH 190 190 0 0 1.5E+02 1 2E+03 53.8827 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 191 191 0 0 1.7E+02 1 2.3E+03 55.7236 200 AFH 192 192 0 0 1.7E+02 1 2.5E+03 55.7632 201 AFH 193 193 0 0 1.4E+02 1 2.4E+03 57.1208 202 AFH 194 194 0 0 1.3E+02 1 2.3E+03 57.3484 203 AFH 195 195 0 0 1.2E+02 1 2.3E+03 58.7372 204 AFH 196 196 0 0 1.5E+02 1 2.5E+03 58.9104 205 AFH 197 197 0 0 1.4E+02 1 2.5E+03 58.9167 206 AFH 198 198 0 0 1.7E+02 1 2.4E+03 61.0197 207 AFH 199 199 0 0 1.7E+02 1 2.1E+03 61.8497 208 AFH 200 200 0 0 1.7E+02 1 2.1E+03 61.8953 209 AFH 201 201 0 0 1.7E+02 1 2.1E+03 62.3424 210 AFH 202 202 0 0 1.4E+02 1 2.4E+03 63.1267 211 AFH 203 203 0 0 1.1E+02 1 2.2E+03 63.4608 212 AFH 204 204 0 0 1.4E+02 1 2.3E+03 63.9761 213 AFH 205 205 0 0 1.4E+02 1 2.3E+03 64.6042 214 AFH 206 206 0 0 1.7E+02 1 2.4E+03 64.6196 215 AFH 207 207 0 0 1.4E+02 1 2.3E+03 64.9925 216 AFH 208 208 0 0 1.5E+02 1 2.2E+03 65.6203 217 AFH 209 209 0 0 1.6E+02 1 2E+03 65.8322 218 AFH 210 210 0 0 1.4E+02 1 2.5E+03 67.0023 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 211 211 0 0 1.5E+02 1 2.3E+03 67.1131 220 AFH 212 212 0 0 1.7E+02 1 2.3E+03 67.2918 221 AFH 213 213 0 0 1.7E+02 1 2.2E+03 68.5425 222 AFH 214 214 0 0 1.4E+02 1 2.2E+03 68.8385 223 AFH 215 215 0 0 1.5E+02 1 2.3E+03 69.7179 224 AFH 216 216 0 0 1.4E+02 1 2.3E+03 70.9964 225 AFH 217 217 0 0 1.4E+02 1 2.5E+03 71.1236 226 AFH 218 218 0 0 1.7E+02 1 2E+03 72.747 227 AFH 219 219 0 0 1.7E+02 1 2.2E+03 73.2238 228 AFH 220 220 0 0 1.5E+02 1 2.5E+03 73.4518 229 AFH 221 221 0 0 1.2E+02 1 2.2E+03 73.4542 230 AFH 222 222 0 0 1.5E+02 1 2.5E+03 75.5852 231 AFH 223 223 0 0 1.7E+02 1 2.1E+03 75.9758 232 AFH 224 224 0 0 1.7E+02 1 2E+03 77.1053 233 AFH 225 225 0 0 1.7E+02 1 2.2E+03 77.3113 234 AFH 226 226 0 0 1.3E+02 1 2.4E+03 78.5584 235 AFH 227 227 0 0 1.7E+02 1 2.4E+03 80.3892 236 AFH 228 228 0 0 1.7E+02 1 2.2E+03 81.0989 237 AFH 229 229 0 0 1.7E+02 1 2.5E+03 81.1793 238 AFH 230 230 0 0 1.2E+02 1 2.2E+03 82.2788 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 231 231 0 0 1.5E+02 1 2.4E+03 82.4846 240 AFH 232 232 0 0 1.5E+02 1 2.4E+03 85.1803 241 AFH 233 233 0 0 1.4E+02 1 2.1E+03 87.1855 242 AFH 234 234 0 0 1.5E+02 1 2.4E+03 87.1982 243 AFH 235 235 0 0 1.5E+02 1 2.3E+03 87.4236 244 AFH 236 236 0 0 1.1E+02 1 2.3E+03 88.4272 245 AFH 237 237 0 0 1.5E+02 1 2.5E+03 89.2308 246 AFH 238 238 0 0 1.2E+02 1 2.4E+03 89.327 247 AFH 239 239 0 0 1.7E+02 1 2.2E+03 90.6983 248 AFH 240 240 0 0 1.4E+02 1 2.3E+03 90.8679 249 AFH 241 241 0 0 1.7E+02 1 2.4E+03 91.8788 250 AFH 242 242 0 0 1.5E+02 1 2.2E+03 92.2017 251 AFH 243 243 0 0 1.5E+02 1 2.4E+03 92.2719 252 AFH 244 244 0 0 1.7E+02 1 2.2E+03 93.5674 253 AFH 245 245 0 0 1.7E+02 1 2.2E+03 94.3034 254 AFH 246 246 0 0 1.7E+02 1 2.2E+03 95.2317 255 AFH 247 247 0 0 1.4E+02 1 2.2E+03 95.7929 256 AFH 248 248 0 0 1.5E+02 1 2.1E+03 96.2624 257 AFH 249 249 0 0 1.5E+02 1 2.2E+03 97.3392 258 AFH 250 250 0 0 1.4E+02 1 2.2E+03 98.7462 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 251 251 0 0 1.4E+02 1 2.5E+03 99.1034 260 AFH 252 252 0 0 1.7E+02 1 2.3E+03 99.2794 261 AFH 253 253 0 0 1.5E+02 1 2.1E+03 99.5374 262 AFH 254 254 0 0 1.7E+02 1 2.4E+03 100.318 263 AFH 255 255 0 0 1.4E+02 1 2.1E+03 101.245 264 AFH 256 256 0 0 1.4E+02 1 2.3E+03 101.653 265 AFH 257 257 0 0 1.5E+02 1 2.1E+03 103.138 266 AFH 258 258 0 0 1.4E+02 1 2.2E+03 104.713 267 AFH 259 259 0 0 1.7E+02 1 2.3E+03 104.819 268 AFH 260 260 0 0 1.5E+02 1 2.1E+03 104.967 269 AFH 261 261 0 0 1.4E+02 1 2.4E+03 105.13 270 AFH 262 262 0 0 1.7E+02 1 2.1E+03 106.24 271 AFH 263 263 0 0 1.7E+02 1 2.2E+03 107.285 272 AFH 264 264 0 0 1.5E+02 1 2.2E+03 108.809 273 AFH 265 265 0 0 1.2E+02 1 2.3E+03 109.989 274 AFH 266 266 0 0 1.7E+02 1 2.3E+03 110.68 275 AFH 267 267 0 0 1.4E+02 1 2.3E+03 110.953 276 AFH 268 268 0 0 1.7E+02 1 2.3E+03 110.997 277 AFH 269 269 0 0 1.7E+02 1 2.4E+03 112.881 278 AFH 270 270 0 0 1.6E+02 1 2E+03 112.911 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 271 271 0 0 1.4E+02 1 2.3E+03 112.946 280 AFH 272 272 0 0 1.7E+02 1 2.4E+03 113.152 281 AFH 273 273 0 0 1.4E+02 1 2.3E+03 113.34 282 AFH 274 274 0 0 1.5E+02 1 2.2E+03 113.784 283 AFH 275 275 0 0 1.3E+02 1 2.4E+03 114.553 284 AFH 276 276 0 0 1.5E+02 1 2.3E+03 115.24 285 AFH 277 277 0 0 1.7E+02 1 2.1E+03 115.31 286 AFH 278 278 0 0 1.5E+02 1 2.2E+03 116.298 287 AFH 279 279 0 0 1.5E+02 1 2.4E+03 116.716 288 AFH 280 280 0 0 1.7E+02 1 2.2E+03 116.974 289 AFH 281 281 0 0 1.7E+02 1 2.4E+03 118.729 290 AFH 282 282 0 0 1.4E+02 1 2.2E+03 119.687 291 AFH 283 283 0 0 1.7E+02 1 2.2E+03 120.008 292 AFH 284 284 0 0 1.7E+02 1 2.4E+03 120.1 293 AFH 285 285 0 0 1.7E+02 1 2.4E+03 120.2 294 AFH 286 286 0 0 1.6E+02 1 2.3E+03 122.27 295 AFH 287 287 0 0 1.5E+02 1 2.1E+03 122.541 296 AFH 288 288 0 0 1.3E+02 1 2.2E+03 122.85 297 AFH 289 289 0 0 1.5E+02 1 2.4E+03 123.264 298 AFH 290 290 0 0 1.4E+02 1 2.2E+03 123.922 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 291 291 0 0 1.4E+02 1 2.2E+03 124.177 300 AFH 292 292 0 0 1.7E+02 1 2.1E+03 124.613 301 AFH 293 293 0 0 1.4E+02 1 2.3E+03 125.419 302 AFH 294 294 0 0 1.7E+02 1 2.2E+03 125.611 303 AFH 295 295 0 0 1.5E+02 1 2.4E+03 126.15 304 AFH 296 296 0 0 1.4E+02 1 2.2E+03 126.409 305 AFH 297 297 0 0 1.5E+02 1 2.3E+03 126.478 306 AFH 298 298 0 0 1.7E+02 1 2.3E+03 127.643 307 AFH 299 299 0 0 1.4E+02 1 2.2E+03 127.651 308 AFH 300 300 0 0 1.7E+02 1 2.2E+03 128.177 309 AFH 301 301 0 0 1.7E+02 1 2.1E+03 128.437 310 AFH 302 302 0 0 1.4E+02 1 2.4E+03 129.024 311 AFH 303 303 0 0 1.7E+02 1 2.4E+03 129.247 312 AFH 304 304 0 0 1.1E+02 1 2.2E+03 129.595 313 AFH 305 305 0 0 1.7E+02 1 2.2E+03 129.753 314 AFH 306 306 0 0 1.1E+02 1 2.2E+03 130.289 315 AFH 307 307 0 0 1.5E+02 1 2.1E+03 130.505 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.94_uflquad-15-80._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 1217.989413146401148 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 1217.989413146401148 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 316 Iteration limit : -1 Function evaluations : 338 Gradient evaluations : 309 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 303/316 NLP solver calls : 315 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-15-80.gms(3474) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-15-80.gms Stop 09/14/12 16:39:41 elapsed 2:00:02.293 @04 1347633581 ----------------------------- Fr 14. Sep 16:39:41 CEST 2012 ----------------------------- =ready= Linux opt211 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-20-40.gms =========== ----------------------------- Fr 14. Sep 14:39:56 CEST 2012 ----------------------------- @03 1347626396 --- Job uflquad-20-40.gms Start 09/14/12 14:39:56 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-20-40.gms(2309) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- uflquad-20-40.gms(2307) 3 Mb --- Generating MIQCP model m --- uflquad-20-40.gms(2309) 6 Mb --- 841 rows 821 columns 3,221 non-zeroes --- 3,202 nl-code 800 nl-non-zeroes --- 20 discrete-columns --- uflquad-20-40.gms(2309) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.95_uflquad-20-40._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3221 elements of which 25% are non-linear(NL) included in 841 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 800 from a total of 821 variables: Continuous(801), Binary(20), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=165 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.5E+02 NA 1 SAFG 1 1 0 1 1.2E+02 0 0 1140.72 1 FOUND SOLUTION: 1140.72 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 9.8E+02 159.534 3 SAFG 2 2 0 1 82 0 0 1091.62 3 FOUND SOLUTION: 1091.62 (NLP) in 1 sec. 4 SAFH 2 2 0 1 0 1 9.1E+02 177.593 5 SAFJL 3 3 0 1 82 0 2.3E-13 1140.72 6 SAFH 2 2 0 0.5 82 1 2.1E+03 -649.623 7 SAFH 3 3 0 0.5 82 1 2.1E+03 -629.623 8 SAFH 4 4 0 0.5 82 1 2.1E+03 -620.623 9 SAFH 5 5 0 0.5 82 1 2.1E+03 -598.623 10 SAFH 6 6 0 0.5 82 1 2E+03 -594.623 11 SAFH 7 7 0 0.5 82 1 1.9E+03 -587.623 12 SAFJ 8 8 0 0.5 82 0 0 1494.89 13 SAFJ 8 8 0 0.3 0 0 0 1494.89 14 SAFJ 8 8 0 0.2 0 0 0 1494.89 15 SAFJ 8 8 0 0.1 0 0 0 1494.89 16 AFH 8 8 0 0 82 1 1.7E+03 -575.623 17 AFH 9 9 0 0 82 1 1.9E+03 -569.623 18 AFH 10 10 0 0 82 1 1.8E+03 -568.623 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFG 11 11 0 0 82 0 0 1030.81 19 FOUND SOLUTION: 1030.81 (NLP) in 2 sec. 20 AFH 11 11 0 0 0 1 1.6E+03 -567.623 21 AFH 12 12 0 0 82 1 1.5E+03 -449.806 22 AFH 13 13 0 0 82 1 1.6E+03 -429.806 23 AFH 14 14 0 0 82 1 2E+03 -412.806 24 AFH 15 15 0 0 82 1 2E+03 -386.806 25 AFH 16 16 0 0 82 1 1.7E+03 -380.806 26 AFH 17 17 0 0 82 1 1.5E+03 -378.806 27 AFH 18 18 0 0 82 1 1.8E+03 -375.806 28 AFH 19 19 0 0 82 1 1.9E+03 -351.806 29 AFG 20 20 0 0 84 0 0 977.178 29 FOUND SOLUTION: 977.178 (NLP) in 4 sec. 30 AFH 20 20 0 0 36 1 1.4E+03 -91.8057 31 AFG 21 21 0 0 54 0 0 914.818 31 FOUND SOLUTION: 914.818 (NLP) in 6 sec. 32 AFH 21 21 0 0 39 1 1.4E+03 29.8189 33 AFH 22 22 0 0 76 1 1.4E+03 53.6604 34 AFH 23 23 0 0 73 1 1.4E+03 80.0841 35 AFH 24 24 0 0 68 1 1.3E+03 88.8949 36 AFH 25 25 0 0 66 1 1.1E+03 108.603 37 AFH 26 26 0 0 84 1 1.2E+03 110.536 38 AFH 27 27 0 0 84 1 1.1E+03 121.21 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 28 28 0 0 84 0 0 860.961 39 FOUND SOLUTION: 860.961 (NLP) in 25 sec. 40 AFH 28 28 0 0 26 1 1.1E+03 127.812 41 AFH 29 29 0 0 67 1 1.4E+03 129.707 42 AFH 30 30 0 0 45 1 1E+03 138.782 43 AFH 31 31 0 0 85 1 1.3E+03 140.105 44 AFH 32 32 0 0 85 1 1.2E+03 153.898 45 AFH 33 33 0 0 84 1 1.1E+03 159.7 46 AFH 34 34 0 0 85 1 1.3E+03 160.799 47 AFH 35 35 0 0 86 1 1.4E+03 165.688 48 AFH 36 36 0 0 86 1 1.3E+03 173.495 49 AFH 37 37 0 0 85 1 1.1E+03 175.538 50 AFH 38 38 0 0 84 1 1.2E+03 177.363 51 AFH 39 39 0 0 52 1 1E+03 179.902 52 AFH 40 40 0 0 85 1 1.2E+03 185.95 53 AFH 41 41 0 0 72 1 1.4E+03 193.421 54 AFH 42 42 0 0 75 1 1.3E+03 195.275 55 AFH 43 43 0 0 72 1 1.2E+03 196.381 56 AFH 44 44 0 0 62 1 1.1E+03 196.577 57 AFH 45 45 0 0 86 1 1.3E+03 196.763 58 AFH 46 46 0 0 59 1 1.3E+03 198.842 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 47 47 0 0 64 1 1E+03 209.001 60 AFH 48 48 0 0 68 1 1.2E+03 213.698 61 AFH 49 49 0 0 67 1 1.4E+03 219.236 62 AFH 50 50 0 0 69 1 1.3E+03 219.394 63 AFH 51 51 0 0 85 1 1.1E+03 220.423 64 AFH 52 52 0 0 84 1 1E+03 221.906 65 AFH 53 53 0 0 66 1 1.3E+03 222.037 66 AFH 54 54 0 0 68 1 1.3E+03 224.838 67 AFH 55 55 0 0 62 1 1.3E+03 226.995 68 AFH 56 56 0 0 70 1 1.2E+03 227.333 69 AFH 57 57 0 0 84 1 1.1E+03 232.225 70 AFH 58 58 0 0 66 1 1.2E+03 238.522 71 AFH 59 59 0 0 69 1 9.9E+02 239.235 72 AFH 60 60 0 0 85 1 1.4E+03 239.376 73 AFH 61 61 0 0 77 1 1.2E+03 241.803 74 AFH 62 62 0 0 65 1 1.3E+03 242.387 75 AFH 63 63 0 0 69 1 1.1E+03 244.056 76 AFH 64 64 0 0 85 1 1.4E+03 244.315 77 AFH 65 65 0 0 62 1 9.9E+02 244.716 78 AFH 66 66 0 0 56 1 8.4E+02 247.117 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 67 67 0 0 85 1 1.2E+03 247.118 80 AFH 68 68 0 0 70 1 1.1E+03 252.197 81 AFH 69 69 0 0 60 1 1.2E+03 252.966 82 AFH 70 70 0 0 62 1 1.2E+03 253.879 83 AFH 71 71 0 0 85 1 1.1E+03 254.91 84 AFH 72 72 0 0 70 1 1.3E+03 255.363 85 AFH 73 73 0 0 85 1 1E+03 256.278 86 AFH 74 74 0 0 61 1 1.1E+03 257.298 87 AFH 75 75 0 0 58 1 9.9E+02 258.771 88 AFH 76 76 0 0 67 1 1.3E+03 259.955 89 AFH 77 77 0 0 79 1 1E+03 259.993 90 AFH 78 78 0 0 69 1 1.1E+03 260.392 91 AFH 79 79 0 0 63 1 1.2E+03 260.879 92 AFH 80 80 0 0 58 1 1.2E+03 261.528 93 AFH 81 81 0 0 71 1 1.1E+03 263.876 94 AFH 82 82 0 0 84 1 9.8E+02 264.732 95 AFH 83 83 0 0 84 1 8.9E+02 265.882 96 AFH 84 84 0 0 84 1 9.8E+02 266.472 97 AFH 85 85 0 0 84 1 1.1E+03 266.514 98 AFH 86 86 0 0 84 1 1E+03 266.993 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 87 87 0 0 84 1 1E+03 269.515 100 AFH 88 88 0 0 84 1 9.5E+02 269.823 101 AFH 89 89 0 0 66 1 1.2E+03 270.779 102 AFH 90 90 0 0 72 1 1.2E+03 271.067 103 AFH 91 91 0 0 85 1 1.1E+03 271.572 104 AFH 92 92 0 0 85 1 1.2E+03 272.007 105 AFH 93 93 0 0 70 1 1.3E+03 275.018 106 AFH 94 94 0 0 71 1 1.1E+03 276.468 107 AFH 95 95 0 0 58 1 9.9E+02 277.657 108 AFH 96 96 0 0 75 1 1.3E+03 277.851 109 AFH 97 97 0 0 58 1 1.2E+03 278.563 110 AFH 98 98 0 0 68 1 9E+02 278.954 111 AFH 99 99 0 0 84 1 1.1E+03 279.366 112 AFH 100 100 0 0 59 1 9.8E+02 281.082 113 AFH 101 101 0 0 85 1 1.3E+03 281.355 114 AFH 102 102 0 0 85 1 1.1E+03 281.398 115 AFH 103 103 0 0 65 1 1.4E+03 282.284 116 AFH 104 104 0 0 71 1 1.3E+03 282.674 117 AFH 105 105 0 0 73 1 1.2E+03 283.382 118 AFH 106 106 0 0 72 1 1.2E+03 286.045 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 107 107 0 0 60 1 1.2E+03 286.192 120 AFH 108 108 0 0 76 1 9.9E+02 286.594 121 AFH 109 109 0 0 85 1 1.1E+03 287.613 122 AFH 110 110 0 0 84 1 9.6E+02 292.313 123 AFH 111 111 0 0 68 1 1.2E+03 292.43 124 AFH 112 112 0 0 86 1 1.2E+03 292.495 125 AFH 113 113 0 0 86 1 1.3E+03 294.433 126 AFH 114 114 0 0 85 1 9.6E+02 294.729 127 AFH 115 115 0 0 84 1 9.5E+02 295.881 128 AFH 116 116 0 0 59 1 1.2E+03 296.4 129 AFH 117 117 0 0 85 1 1.2E+03 296.612 130 AFH 118 118 0 0 85 1 1E+03 297.666 131 AFH 119 119 0 0 84 1 9.4E+02 298.586 132 AFH 120 120 0 0 85 1 1.1E+03 298.646 133 AFH 121 121 0 0 73 1 1.2E+03 299.369 134 AFH 122 122 0 0 61 1 9.4E+02 301.025 135 AFH 123 123 0 0 85 1 1.1E+03 301.278 136 AFH 124 124 0 0 63 1 9.8E+02 301.579 137 AFH 125 125 0 0 65 1 1.1E+03 301.62 138 AFH 126 126 0 0 85 1 1.1E+03 302.191 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 127 127 0 0 85 1 1.2E+03 303.062 140 AFH 128 128 0 0 74 1 1.3E+03 303.09 141 AFH 129 129 0 0 85 1 8.4E+02 303.785 142 AFH 130 130 0 0 57 1 9.4E+02 304.215 143 AFH 131 131 0 0 85 1 1.1E+03 305.222 144 AFH 132 132 0 0 85 1 1.2E+03 305.325 145 AFH 133 133 0 0 72 1 1.3E+03 305.732 146 AFH 134 134 0 0 85 1 1E+03 306.113 147 AFH 135 135 0 0 84 1 9.5E+02 306.773 148 AFH 136 136 0 0 64 1 1E+03 307.028 149 AFH 137 137 0 0 85 1 1.1E+03 307.697 150 AFH 138 138 0 0 67 1 1.2E+03 307.808 151 AFH 139 139 0 0 73 1 1.3E+03 310.843 152 AFH 140 140 0 0 74 1 1E+03 313.102 153 AFH 141 141 0 0 73 1 1.3E+03 313.967 154 AFH 142 142 0 0 64 1 1.4E+03 315.522 155 AFH 143 143 0 0 73 1 1.1E+03 315.629 156 AFH 144 144 0 0 64 1 1.1E+03 316.29 157 AFH 145 145 0 0 84 1 9.4E+02 317.714 158 AFH 146 146 0 0 85 1 1.2E+03 318.141 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 147 147 0 0 69 1 9.7E+02 318.304 160 AFH 148 148 0 0 85 1 1.2E+03 319.749 161 AFH 149 149 0 0 75 1 1.1E+03 320.229 162 AFH 150 150 0 0 85 1 1.1E+03 320.23 163 AFH 151 151 0 0 63 1 1.1E+03 320.439 164 AFH 152 152 0 0 67 1 1.1E+03 320.441 165 AFH 153 153 0 0 85 1 1E+03 320.555 166 AFH 154 154 0 0 85 1 9.9E+02 322.117 167 AFH 155 155 0 0 84 1 1.1E+03 322.957 168 AFH 156 156 0 0 84 1 1.2E+03 323.523 169 AFH 157 157 0 0 84 1 1.2E+03 323.827 170 AFH 158 158 0 0 60 1 9.4E+02 323.912 171 AFH 159 159 0 0 85 1 1.3E+03 324.538 172 AFH 160 160 0 0 85 1 1E+03 324.549 173 AFH 161 161 0 0 85 1 1.4E+03 326.536 174 AFH 162 162 0 0 73 1 1.1E+03 326.723 175 AFH 163 163 0 0 75 1 1.3E+03 326.767 176 AFH 164 164 0 0 85 1 9.4E+02 327.186 177 AFH 165 165 0 0 85 1 1.1E+03 327.391 178 AFH 166 166 0 0 61 1 1.1E+03 328.016 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 167 167 0 0 72 1 9.6E+02 328.113 180 AFH 168 168 0 0 84 1 9.2E+02 328.238 181 AFH 169 169 0 0 55 1 8.7E+02 328.449 182 AFH 170 170 0 0 64 1 1.1E+03 328.513 183 AFH 171 171 0 0 85 1 1.2E+03 329.413 184 AFH 172 172 0 0 84 1 1E+03 330.158 185 AFH 173 173 0 0 85 1 1.3E+03 331.324 186 AFH 174 174 0 0 68 1 9.7E+02 331.7 187 AFH 175 175 0 0 67 1 1.3E+03 331.716 188 AFH 176 176 0 0 59 1 1.1E+03 332.41 189 AFH 177 177 0 0 70 1 9.9E+02 333.112 190 AFH 178 178 0 0 70 1 1E+03 333.148 191 AFH 179 179 0 0 66 1 8E+02 334.45 192 AFH 180 180 0 0 53 1 9.1E+02 335.033 193 AFH 181 181 0 0 84 1 9.4E+02 335.083 194 AFH 182 182 0 0 84 1 9.7E+02 335.198 195 AFH 183 183 0 0 84 1 1.1E+03 335.701 196 AFH 184 184 0 0 68 1 1E+03 336.074 197 AFH 185 185 0 0 77 1 1.1E+03 336.09 198 AFH 186 186 0 0 72 1 1.1E+03 336.273 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 187 187 0 0 85 1 1.1E+03 336.628 200 AFH 188 188 0 0 66 1 1.2E+03 336.847 201 AFH 189 189 0 0 85 1 1.1E+03 336.877 202 AFH 190 190 0 0 56 1 1E+03 337.58 203 AFH 191 191 0 0 85 1 1.2E+03 338.652 204 AFH 192 192 0 0 71 1 1.1E+03 338.799 205 AFH 193 193 0 0 85 1 1E+03 338.915 206 AFH 194 194 0 0 84 1 9.3E+02 338.999 207 AFH 195 195 0 0 85 1 1.1E+03 340.002 208 AFH 196 196 0 0 85 1 8.7E+02 341.496 209 AFH 197 197 0 0 84 1 1.1E+03 342.347 210 AFH 198 198 0 0 55 1 1E+03 343.655 211 AFH 199 199 0 0 68 1 1.1E+03 344.012 212 AFH 200 200 0 0 62 1 1E+03 344.146 213 AFH 201 201 0 0 85 1 1E+03 344.572 214 AFH 202 202 0 0 69 1 1.2E+03 344.69 215 AFH 203 203 0 0 86 1 1.2E+03 345.646 216 AFH 204 204 0 0 85 1 9.1E+02 345.735 217 AFH 205 205 0 0 85 1 1E+03 345.763 218 AFH 206 206 0 0 60 1 1E+03 346.017 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 207 207 0 0 85 1 1.1E+03 346.668 220 AFH 208 208 0 0 84 1 8.9E+02 347.944 221 AFH 209 209 0 0 70 1 1.1E+03 348.72 222 AFH 210 210 0 0 86 1 1.2E+03 349.742 223 AFH 211 211 0 0 86 1 1.1E+03 349.987 224 AFH 212 212 0 0 85 1 1.1E+03 350.104 225 AFH 213 213 0 0 84 1 1E+03 350.408 226 AFH 214 214 0 0 85 1 1E+03 350.937 227 AFH 215 215 0 0 85 1 1.1E+03 351.083 228 AFH 216 216 0 0 85 1 9.7E+02 351.09 229 AFH 217 217 0 0 85 1 1.1E+03 351.935 230 AFH 218 218 0 0 59 1 1.1E+03 352.007 231 AFH 219 219 0 0 85 1 1E+03 353.347 232 AFH 220 220 0 0 70 1 1.2E+03 353.382 233 AFH 221 221 0 0 85 1 9.5E+02 353.804 234 AFH 222 222 0 0 85 1 1.2E+03 353.866 235 AFH 223 223 0 0 86 1 1E+03 354.17 236 AFH 224 224 0 0 74 1 1.1E+03 354.887 237 AFH 225 225 0 0 85 1 1.1E+03 355.123 238 AFH 226 226 0 0 85 1 1.1E+03 355.457 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 227 227 0 0 79 1 1E+03 355.859 240 AFH 228 228 0 0 71 1 1E+03 355.908 241 AFH 229 229 0 0 85 1 1.1E+03 356.909 242 AFH 230 230 0 0 64 1 1.1E+03 357.458 243 AFH 231 231 0 0 69 1 9.6E+02 357.645 244 AFH 232 232 0 0 51 1 9.7E+02 358.601 245 AFH 233 233 0 0 53 1 9.4E+02 358.746 246 AFH 234 234 0 0 85 1 9.8E+02 359.129 247 AFH 235 235 0 0 85 1 8.3E+02 359.346 248 AFH 236 236 0 0 85 1 1E+03 359.415 249 AFH 237 237 0 0 64 1 9.6E+02 361.156 250 AFH 238 238 0 0 85 1 1.1E+03 361.418 251 AFH 239 239 0 0 86 1 1.3E+03 361.875 252 AFH 240 240 0 0 74 1 1.1E+03 362.072 253 AFH 241 241 0 0 67 1 1.1E+03 363.189 254 AFH 242 242 0 0 85 1 1E+03 363.319 255 AFH 243 243 0 0 70 1 1.1E+03 363.341 256 AFH 244 244 0 0 84 1 9.9E+02 363.686 257 AFH 245 245 0 0 63 1 1.2E+03 363.865 258 AFH 246 246 0 0 86 1 1E+03 364.02 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 247 247 0 0 85 1 9E+02 364.259 260 AFH 248 248 0 0 85 1 1.1E+03 365.001 261 AFH 249 249 0 0 85 1 9.4E+02 365.146 262 AFH 250 250 0 0 68 1 1.1E+03 365.294 263 AFH 251 251 0 0 86 1 1.1E+03 366.218 264 AFH 252 252 0 0 64 1 9.4E+02 366.72 265 AFH 253 253 0 0 84 1 9.2E+02 366.856 266 AFH 254 254 0 0 64 1 1E+03 367.014 267 AFH 255 255 0 0 59 1 9.6E+02 367.169 268 AFH 256 256 0 0 73 1 9.8E+02 367.48 269 AFH 257 257 0 0 50 1 8.9E+02 367.558 270 AFH 258 258 0 0 84 1 9.8E+02 368.515 271 AFH 259 259 0 0 84 1 9.3E+02 368.525 272 AFH 260 260 0 0 85 1 1.2E+03 368.711 273 AFH 261 261 0 0 66 1 1.2E+03 369.038 274 AFH 262 262 0 0 85 1 1E+03 369.496 275 AFH 263 263 0 0 85 1 1E+03 369.901 276 AFH 264 264 0 0 85 1 1.1E+03 370.06 277 AFH 265 265 0 0 73 1 1E+03 370.445 278 AFH 266 266 0 0 85 1 9.9E+02 370.627 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 267 267 0 0 85 1 1.2E+03 370.715 280 AFH 268 268 0 0 85 1 9.7E+02 371.061 281 AFH 269 269 0 0 85 1 9.9E+02 371.147 282 AFH 270 270 0 0 85 1 7.9E+02 371.149 283 AFH 271 271 0 0 85 1 1.1E+03 371.238 284 AFH 272 272 0 0 74 1 1.1E+03 373.265 285 AFH 273 273 0 0 85 1 8E+02 373.967 286 AFH 274 274 0 0 64 1 9.2E+02 374.441 287 AFH 275 275 0 0 85 1 9.9E+02 374.609 288 AFH 276 276 0 0 62 1 1E+03 374.695 289 AFH 277 277 0 0 72 1 9E+02 374.976 290 AFH 278 278 0 0 62 1 1E+03 375.172 291 AFH 279 279 0 0 84 1 1.1E+03 375.454 292 AFH 280 280 0 0 85 1 1.2E+03 375.627 293 AFH 281 281 0 0 72 1 1E+03 375.744 294 AFH 282 282 0 0 78 1 9.9E+02 375.947 295 AFH 283 283 0 0 73 1 1.2E+03 376.228 296 AFH 284 284 0 0 68 1 9.3E+02 376.268 297 AFH 285 285 0 0 57 1 9.6E+02 376.326 298 AFH 286 286 0 0 84 1 8.6E+02 376.565 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 287 287 0 0 84 1 9.6E+02 376.838 300 AFH 288 288 0 0 85 1 9.8E+02 377.278 301 AFH 289 289 0 0 85 1 9.6E+02 377.701 302 AFH 290 290 0 0 84 1 1.1E+03 377.963 303 AFH 291 291 0 0 85 1 1.2E+03 378.071 304 AFH 292 292 0 0 75 1 1.3E+03 378.265 305 AFH 293 293 0 0 73 1 1E+03 378.53 306 AFH 294 294 0 0 84 1 9.5E+02 379.335 307 AFH 295 295 0 0 65 1 1.1E+03 379.667 308 AFH 296 296 0 0 74 1 1.1E+03 379.695 309 AFH 297 297 0 0 78 1 1.1E+03 379.73 310 AFH 298 298 0 0 76 1 1E+03 379.785 311 AFH 299 299 0 0 85 1 1.2E+03 379.8 312 AFH 300 300 0 0 56 1 1.1E+03 379.861 313 AFH 301 301 0 0 85 1 9.4E+02 380.287 314 AFH 302 302 0 0 76 1 1.1E+03 380.818 315 AFH 303 303 0 0 71 1 1.2E+03 381.421 316 AFH 304 304 0 0 67 1 1.1E+03 381.428 317 AFH 305 305 0 0 73 1 1.1E+03 381.471 318 AFH 306 306 0 0 73 1 9.3E+02 381.652 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 307 307 0 0 67 1 1E+03 381.763 320 AFH 308 308 0 0 70 1 1.1E+03 381.827 321 AFH 309 309 0 0 85 1 8.3E+02 382.098 322 AFH 310 310 0 0 84 1 1.1E+03 382.223 323 AFH 311 311 0 0 84 1 8.6E+02 382.268 324 AFH 312 312 0 0 65 1 9.5E+02 382.82 325 AFH 313 313 0 0 86 1 1.2E+03 383.019 326 AFH 314 314 0 0 85 1 1E+03 384.088 327 AFH 315 315 0 0 85 1 1.1E+03 384.453 328 AFH 316 316 0 0 86 1 1E+03 384.718 329 AFH 317 317 0 0 72 1 8.7E+02 384.774 330 AFH 318 318 0 0 85 1 8.2E+02 384.898 331 AFH 319 319 0 0 85 1 1E+03 384.913 332 AFH 320 320 0 0 78 1 1E+03 385.317 333 AFH 321 321 0 0 78 1 9.7E+02 385.642 334 AFH 322 322 0 0 86 1 9.1E+02 386.486 335 AFH 323 323 0 0 73 1 9.4E+02 386.488 336 AFH 324 324 0 0 85 1 1.1E+03 386.745 337 AFH 325 325 0 0 72 1 1E+03 387.245 338 AFH 326 326 0 0 75 1 8.6E+02 387.549 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 327 327 0 0 86 1 9.8E+02 387.733 340 AFH 328 328 0 0 85 1 9E+02 387.905 341 AFH 329 329 0 0 64 1 1.1E+03 387.906 342 AFH 330 330 0 0 85 1 1E+03 388.563 343 AFH 331 331 0 0 70 1 1.1E+03 389.406 344 AFH 332 332 0 0 74 1 1.1E+03 389.872 345 AFH 333 333 0 0 85 1 1E+03 390.439 346 AFH 334 334 0 0 84 1 9E+02 390.93 347 AFH 335 335 0 0 62 1 1E+03 391.311 348 AFH 336 336 0 0 72 1 9.4E+02 392.004 349 AFH 337 337 0 0 64 1 1E+03 392.304 350 AFH 338 338 0 0 84 1 9.7E+02 392.642 351 AFH 339 339 0 0 85 1 9.1E+02 393.252 352 AFH 340 340 0 0 69 1 9.9E+02 393.325 353 AFH 341 341 0 0 85 1 9.3E+02 393.397 354 AFH 342 342 0 0 69 1 9.5E+02 393.72 355 AFH 343 343 0 0 73 1 9.4E+02 393.952 356 AFH 344 344 0 0 74 1 1.1E+03 394.773 357 AFH 345 345 0 0 86 1 1.2E+03 395.199 358 AFH 346 346 0 0 70 1 8.9E+02 395.803 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 347 347 0 0 85 1 1.2E+03 396.255 360 AFH 348 348 0 0 85 1 8.7E+02 396.344 361 AFH 349 349 0 0 55 1 8.2E+02 396.345 362 AFH 350 350 0 0 84 1 9.5E+02 397.006 363 AFH 351 351 0 0 85 1 9.8E+02 397.137 364 AFH 352 352 0 0 85 1 7.8E+02 397.941 365 AFH 353 353 0 0 70 1 9.4E+02 398.344 366 AFH 354 354 0 0 70 1 9.1E+02 398.481 367 AFH 355 355 0 0 74 1 1E+03 398.551 368 AFH 356 356 0 0 85 1 9.1E+02 398.652 369 AFH 357 357 0 0 84 1 1.1E+03 398.812 370 AFH 358 358 0 0 85 1 1E+03 398.877 371 AFH 359 359 0 0 85 1 1.1E+03 399.147 372 AFH 360 360 0 0 61 1 1.1E+03 399.371 373 AFH 361 361 0 0 85 1 9.5E+02 399.484 374 AFH 362 362 0 0 73 1 1E+03 399.684 375 AFH 363 363 0 0 85 1 1.2E+03 399.703 376 AFH 364 364 0 0 85 1 1E+03 399.773 377 AFH 365 365 0 0 85 1 8.9E+02 399.803 378 AFH 366 366 0 0 85 1 9.6E+02 400.271 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 367 367 0 0 71 1 1E+03 400.493 380 AFH 368 368 0 0 66 1 9.2E+02 400.507 381 AFH 369 369 0 0 84 1 1.1E+03 400.58 382 AFH 370 370 0 0 84 1 9E+02 400.933 383 AFH 371 371 0 0 85 1 9.5E+02 401.691 384 AFH 372 372 0 0 63 1 9.3E+02 401.824 385 AFH 373 373 0 0 84 1 9.4E+02 402.589 386 AFH 374 374 0 0 84 1 1E+03 402.651 387 AFH 375 375 0 0 84 1 9.5E+02 402.88 388 AFH 376 376 0 0 85 1 1E+03 403.135 389 AFH 377 377 0 0 85 1 1.2E+03 403.462 390 AFH 378 378 0 0 69 1 9.4E+02 403.843 391 AFH 379 379 0 0 74 1 1E+03 404.101 392 AFH 380 380 0 0 76 1 1.1E+03 404.171 393 AFH 381 381 0 0 60 1 1.2E+03 404.292 394 AFH 382 382 0 0 66 1 9.9E+02 404.889 395 AFH 383 383 0 0 69 1 9.4E+02 405.522 396 AFH 384 384 0 0 67 1 8.2E+02 405.71 397 AFH 385 385 0 0 57 1 8.9E+02 406.084 398 AFH 386 386 0 0 84 1 9.6E+02 406.498 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 387 387 0 0 84 1 8.4E+02 406.913 400 AFH 388 388 0 0 85 1 9.9E+02 406.967 401 AFH 389 389 0 0 85 1 9.6E+02 407.065 402 AFH 390 390 0 0 67 1 1E+03 407.077 403 AFH 391 391 0 0 74 1 1E+03 407.54 404 AFH 392 392 0 0 65 1 7.7E+02 407.608 405 AFH 393 393 0 0 85 1 1E+03 408.024 406 AFH 394 394 0 0 75 1 1E+03 408.065 407 AFH 395 395 0 0 85 1 9.1E+02 408.331 408 AFH 396 396 0 0 84 1 9.4E+02 408.411 409 AFH 397 397 0 0 57 1 1.2E+03 408.774 410 AFH 398 398 0 0 85 1 9.1E+02 408.846 411 AFH 399 399 0 0 67 1 9.2E+02 409.496 412 AFH 400 400 0 0 84 1 1E+03 409.611 413 AFH 401 401 0 0 84 1 9.9E+02 409.826 414 AFH 402 402 0 0 84 1 9.4E+02 409.872 415 AFH 403 403 0 0 85 1 1E+03 409.923 416 AFH 404 404 0 0 68 1 9.4E+02 410.834 417 AFH 405 405 0 0 85 1 9.6E+02 411.993 418 AFH 406 406 0 0 72 1 8.7E+02 412.323 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 407 407 0 0 86 1 1E+03 412.531 420 AFH 408 408 0 0 74 1 9.7E+02 412.542 421 AFH 409 409 0 0 68 1 9.7E+02 412.557 422 AFH 410 410 0 0 61 1 9.9E+02 412.629 423 AFH 411 411 0 0 84 1 9.3E+02 412.68 424 AFH 412 412 0 0 60 1 8E+02 412.897 425 AFH 413 413 0 0 85 1 1E+03 413.071 426 AFH 414 414 0 0 85 1 1E+03 413.331 427 AFH 415 415 0 0 84 1 8.5E+02 413.676 428 AFH 416 416 0 0 85 1 9.3E+02 413.746 429 AFH 417 417 0 0 69 1 9E+02 414.296 430 AFH 418 418 0 0 72 1 1.1E+03 414.439 431 AFH 419 419 0 0 61 1 9.6E+02 414.457 432 AFH 420 420 0 0 74 1 9.8E+02 414.866 433 AFH 421 421 0 0 72 1 1.3E+03 415.002 434 AFH 422 422 0 0 86 1 9.3E+02 415.105 435 AFH 423 423 0 0 69 1 1E+03 415.331 436 AFH 424 424 0 0 75 1 1.1E+03 415.352 437 AFH 425 425 0 0 64 1 8.5E+02 415.627 438 AFH 426 426 0 0 66 1 9.7E+02 415.983 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 427 427 0 0 59 1 8.9E+02 416.069 440 AFH 428 428 0 0 71 1 9.3E+02 416.22 441 AFH 429 429 0 0 85 1 1.2E+03 416.844 442 AFH 430 430 0 0 84 1 1E+03 416.902 443 AFH 431 431 0 0 84 1 9.5E+02 417.201 444 AFH 432 432 0 0 66 1 9.8E+02 417.217 445 AFH 433 433 0 0 74 1 1E+03 417.286 446 AFH 434 434 0 0 86 1 1E+03 417.292 447 AFH 435 435 0 0 69 1 9E+02 417.431 448 AFH 436 436 0 0 72 1 1.1E+03 417.639 449 AFH 437 437 0 0 56 1 1.1E+03 417.773 450 AFH 438 438 0 0 75 1 9.1E+02 418.041 451 AFH 439 439 0 0 72 1 1.1E+03 418.181 452 AFH 440 440 0 0 84 1 1.1E+03 418.187 453 AFH 441 441 0 0 84 1 1E+03 418.316 454 AFH 442 442 0 0 62 1 1.1E+03 418.422 455 AFH 443 443 0 0 84 1 1.1E+03 418.522 456 AFH 444 444 0 0 63 1 1E+03 418.534 457 AFH 445 445 0 0 55 1 9.9E+02 418.56 458 AFH 446 446 0 0 84 1 9.2E+02 418.748 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 447 447 0 0 85 1 9.5E+02 418.759 460 AFH 448 448 0 0 70 1 9.5E+02 419.263 461 AFH 449 449 0 0 84 1 1.1E+03 419.3 462 AFH 450 450 0 0 84 1 8.8E+02 419.843 463 AFH 451 451 0 0 74 1 1.1E+03 419.871 464 AFH 452 452 0 0 74 1 8.9E+02 420.514 465 AFH 453 453 0 0 85 1 1E+03 420.664 466 AFH 454 454 0 0 75 1 1.1E+03 421.278 467 AFH 455 455 0 0 85 1 1E+03 421.73 468 AFH 456 456 0 0 84 1 9.8E+02 421.812 469 AFH 457 457 0 0 85 1 1.1E+03 421.864 470 AFH 458 458 0 0 76 1 1.1E+03 422.474 471 AFH 459 459 0 0 60 1 9.6E+02 422.797 472 AFH 460 460 0 0 86 1 1E+03 422.913 473 AFH 461 461 0 0 72 1 9E+02 423.134 474 AFH 462 462 0 0 59 1 9.2E+02 423.267 475 AFH 463 463 0 0 86 1 9.5E+02 423.945 476 AFH 464 464 0 0 74 1 9.8E+02 424.01 477 AFH 465 465 0 0 69 1 1E+03 424.034 478 AFH 466 466 0 0 84 1 1.1E+03 424.118 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 467 467 0 0 85 1 1E+03 424.202 480 AFH 468 468 0 0 70 1 9.5E+02 424.215 481 AFH 469 469 0 0 73 1 9.4E+02 424.278 482 AFH 470 470 0 0 73 1 9.3E+02 424.413 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.95_uflquad-20-40._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 860.96056535720435932 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 860.96056535720435932 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 483 Iteration limit : -1 Function evaluations : 509 Gradient evaluations : 472 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 468/483 NLP solver calls : 482 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-20-40.gms(2309) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-20-40.gms Stop 09/14/12 16:39:58 elapsed 2:00:02.191 @04 1347633598 ----------------------------- Fr 14. Sep 16:39:58 CEST 2012 ----------------------------- =ready= Linux opt215 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-20-50.gms =========== ----------------------------- Fr 14. Sep 14:40:00 CEST 2012 ----------------------------- @03 1347626400 --- Job uflquad-20-50.gms Start 09/14/12 14:40:00 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-20-50.gms(2878) 2 Mb --- Starting execution: elapsed 0:00:00.025 --- uflquad-20-50.gms(2877) 3 Mb --- Generating MIQCP model m --- uflquad-20-50.gms(2878) 6 Mb --- 1,051 rows 1,021 columns 4,021 non-zeroes --- 4,002 nl-code 1,000 nl-non-zeroes --- 20 discrete-columns --- uflquad-20-50.gms(2878) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.041 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.96_uflquad-20-50._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4021 elements of which 25% are non-linear(NL) included in 1051 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 1000 from a total of 1021 variables: Continuous(1001), Binary(20), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=206 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 3.2E+02 NA 1 SAFG 1 1 0 1 1.3E+02 0 0 428.388 1 FOUND SOLUTION: 428.388 (NLP) in 1 sec. 2 SAFH 1 1 0 1 45 1 8.3E+02 -74.822 3 SAFH 2 2 0 1 65 1 1E+03 -63.0893 4 SAFH 3 3 0 1 56 1 1E+03 -56.2874 5 SAFH 4 4 0 1 44 1 1.1E+03 -34.4102 6 SAFH 5 5 0 1 43 1 1.1E+03 -20.8338 7 SAFH 6 6 0 1 49 1 1.2E+03 -10.3435 8 SAFH 7 7 0 1 48 1 1.2E+03 -4.94588 9 SAFH 8 8 0 1 49 1 1.2E+03 -0.541489 10 SAFH 9 9 0 1 52 1 1.2E+03 2.85835 11 SAFH 10 10 0 1 50 1 1.2E+03 5.9479 12 SAFH 11 11 0 1 55 1 1.2E+03 10.8017 13 SAFH 12 12 0 1 55 1 1.2E+03 15.1376 14 SAFH 13 13 0 1 51 1 1.1E+03 39.6055 15 SAFH 14 14 0 1 49 1 1.1E+03 47.6123 16 SAFH 15 15 0 1 48 1 1E+03 57.9561 17 SAFH 16 16 0 1 50 1 1E+03 63.6822 18 SAFH 17 17 0 1 44 1 9.8E+02 66.4873 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 18 18 0 1 45 1 9.5E+02 68.4168 20 SAFH 19 19 0 1 46 1 9.4E+02 69.5727 21 SAFH 20 20 0 1 51 1 9.4E+02 70.2704 22 SAFH 21 21 0 1 47 1 8.9E+02 70.7374 23 SAFH 22 22 0 1 48 1 9.3E+02 74.6407 24 SAFH 23 23 0 1 47 1 9.3E+02 103.202 25 SAFH 24 24 0 1 45 1 8.3E+02 125.363 26 SAFH 25 25 0 1 46 1 9.1E+02 139.572 27 SAFH 26 26 0 1 39 1 7.7E+02 148.617 28 SAFH 27 27 0 1 40 1 8.1E+02 153.72 29 SAFH 28 28 0 1 41 1 8.2E+02 159.037 30 SAFH 29 29 0 1 42 1 8.5E+02 161.893 31 SAFH 30 30 0 1 40 1 7.6E+02 165.604 32 SAFH 31 31 0 1 42 1 7.7E+02 168.679 33 SAFH 32 32 0 1 50 1 9.4E+02 174.907 34 SAFH 33 33 0 1 43 1 7.8E+02 177.454 35 SAFH 34 34 0 1 38 1 7.4E+02 181.693 36 SAFH 35 35 0 1 42 1 7.8E+02 185.171 37 SAFH 36 36 0 1 43 1 7.7E+02 188.247 38 SAFH 37 37 0 1 49 1 7.8E+02 191.677 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 38 38 0 1 42 1 7.6E+02 196.737 40 SAFH 39 39 0 1 46 1 8.3E+02 203.361 41 SAFH 40 40 0 1 40 1 7.1E+02 207.45 42 SAFH 41 41 0 1 43 1 7.3E+02 210 43 SAFH 42 42 0 1 44 1 7.4E+02 213.283 44 SAFH 43 43 0 1 39 1 6.5E+02 214.321 45 SAFH 44 44 0 1 42 1 7.1E+02 216.091 46 SAFH 45 45 0 1 44 1 7.3E+02 217.579 47 SAFH 46 46 0 1 43 1 6.7E+02 220.415 48 SAFH 47 47 0 1 42 1 7E+02 225.792 49 SAFH 48 48 0 1 38 1 6.3E+02 232.191 50 SAFH 49 49 0 1 41 1 6.4E+02 235.347 51 SAFH 50 50 0 1 37 1 6.3E+02 238.22 52 SAFH 51 51 0 1 40 1 6.4E+02 240.717 53 SAFH 52 52 0 1 40 1 6.1E+02 243.394 54 SAFH 53 53 0 1 44 1 6.5E+02 251.775 55 SAFH 54 54 0 1 41 1 6.7E+02 264.985 56 SAFH 55 55 0 1 39 1 6.5E+02 271.347 57 SAFH 56 56 0 1 34 1 6E+02 275.8 58 SAFH 57 57 0 1 38 1 6.6E+02 279.129 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 58 58 0 1 38 1 6.4E+02 281.023 60 SAFH 59 59 0 1 33 1 5.2E+02 282.342 61 SAFH 60 60 0 1 70 1 9.7E+02 -63.3507 62 SAFH 61 61 0 1 82 1 6.2E+02 283.592 63 SAFH 62 62 0 1 36 1 5.7E+02 285.318 64 SAFH 63 63 0 1 39 1 5.6E+02 287.81 65 SAFH 64 64 0 1 41 1 6.2E+02 289.632 66 SAFH 65 65 0 1 41 1 5.8E+02 292.623 67 SAFH 66 66 0 1 38 1 5.4E+02 295 68 SAFH 67 67 0 1 39 1 6E+02 298.662 69 SAFH 68 68 0 1 37 1 5.3E+02 303.586 70 SAFH 69 69 0 1 40 1 5.7E+02 306.644 71 SAFH 70 70 0 1 35 1 5.5E+02 310.186 72 SAFH 71 71 0 1 35 1 5.2E+02 311.875 73 SAFH 72 72 0 1 36 1 5.4E+02 312.646 74 SAFH 73 73 0 1 36 1 5.5E+02 313.881 75 SAFH 74 74 0 1 33 1 5.4E+02 314.77 76 SAFH 75 75 0 1 34 1 4.7E+02 315.565 77 SAFH 76 76 0 1 38 1 6.2E+02 316.917 78 SAFH 77 77 0 1 39 1 5.7E+02 318.001 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 78 78 0 1 38 1 5.6E+02 318.931 80 SAFH 79 79 0 1 37 1 5.1E+02 319.428 81 SAFH 80 80 0 1 38 1 5.5E+02 320.463 82 SAFH 81 81 0 1 36 1 5E+02 325.299 83 SAFH 82 82 0 1 34 1 4.8E+02 328.161 84 SAFH 83 83 0 1 37 1 5.1E+02 331.154 85 SAFH 84 84 0 1 35 1 4.6E+02 333.044 86 SAFH 85 85 0 1 54 1 6.4E+02 665.983 87 SAFJL 86 86 0 1 0 0 0 1304.55 88 SAFH 85 85 0 0.5 1E+02 1 2.1E+03 -617.733 89 SAFH 86 86 0 0.5 1E+02 1 1.7E+03 -611.733 90 SAFH 87 87 0 0.5 1E+02 1 1.6E+03 -64.1089 91 SAFH 88 88 0 0.5 1E+02 1 2.1E+03 -606.733 92 SAFH 89 89 0 0.5 1E+02 1 1.9E+03 -606.733 93 SAFH 90 90 0 0.5 1E+02 1 2.4E+03 -601.733 94 SAFJ 91 91 0 0.5 1E+02 0 9.1E-13 1342.47 95 SAFJ 91 91 0 0.3 0 0 9.1E-13 1342.47 96 SAFJ 91 91 0 0.2 0 0 9.1E-13 1342.47 97 SAFJ 91 91 0 0.1 0 0 9.1E-13 1342.47 98 AFH 91 91 0 0 1E+02 1 1.7E+03 -599.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 92 92 0 0 1E+02 1 1.9E+03 -596.733 100 AFH 93 93 0 0 1E+02 1 2E+03 -593.733 101 AFH 94 94 0 0 1E+02 1 2.1E+03 -590.733 102 AFH 95 95 0 0 1E+02 1 1.9E+03 -587.733 103 AFH 96 96 0 0 1E+02 1 1.9E+03 -578.733 104 AFH 97 97 0 0 1E+02 1 1.9E+03 -576.733 105 AFH 98 98 0 0 1E+02 1 2E+03 -572.733 106 AFH 99 99 0 0 1E+02 1 2E+03 -568.733 107 AFH 100 100 0 0 1E+02 1 1.8E+03 -560.733 108 AFH 101 101 0 0 1E+02 1 2E+03 -560.733 109 AFH 102 102 0 0 1E+02 1 2E+03 -555.733 110 AFH 103 103 0 0 1E+02 1 1.8E+03 -544.733 111 AFH 104 104 0 0 66 1 1.8E+03 -544.733 112 AFH 105 105 0 0 90 1 1.8E+03 -542.733 113 AFH 106 106 0 0 77 1 1.8E+03 -542.733 114 AFH 107 107 0 0 69 1 1.7E+03 -542.733 115 AFH 108 108 0 0 81 1 1.8E+03 -538.279 116 AFH 109 109 0 0 96 1 1.9E+03 -537.733 117 AFH 110 110 0 0 66 1 2E+03 -537.733 118 AFH 111 111 0 0 67 1 1.9E+03 -537.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 112 112 0 0 71 1 1.9E+03 -537.733 120 AFH 113 113 0 0 65 1 1.7E+03 -537.733 121 AFH 114 114 0 0 94 1 1.5E+03 -534.645 122 AFH 115 115 0 0 1E+02 1 1.7E+03 -533.733 123 AFH 116 116 0 0 75 1 1.7E+03 -531.733 124 AFH 117 117 0 0 98 1 1.7E+03 -531.733 125 AFH 118 118 0 0 95 1 1.7E+03 -529.733 126 AFH 119 119 0 0 66 1 1.7E+03 -529.733 127 AFH 120 120 0 0 97 1 1.8E+03 -528.733 128 AFH 121 121 0 0 83 1 1.7E+03 -526.733 129 AFH 122 122 0 0 80 1 1.7E+03 -526.733 130 AFH 123 123 0 0 87 1 1.5E+03 -526.733 131 AFH 124 124 0 0 1.1E+02 1 1.7E+03 -524.068 132 AFH 125 125 0 0 80 1 1.6E+03 -523.428 133 AFH 126 126 0 0 1.1E+02 1 1.7E+03 -520.833 134 AFH 127 127 0 0 92 1 1.7E+03 -518.733 135 AFH 128 128 0 0 1.1E+02 1 1.8E+03 -518.733 136 AFH 129 129 0 0 68 1 1.8E+03 -518.733 137 AFH 130 130 0 0 63 1 1.6E+03 -517.782 138 AFH 131 131 0 0 95 1 1.7E+03 -515.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 132 132 0 0 86 1 1.8E+03 -514.733 140 AFH 133 133 0 0 1.1E+02 1 1.5E+03 -513.447 141 AFH 134 134 0 0 98 1 1.7E+03 -510.733 142 AFG 135 135 0 0 99 0 0 399.085 142 FOUND SOLUTION: 399.085 (NLP) in 151 sec. 143 AFH 135 135 0 0 63 1 1.7E+03 -510.071 144 AFH 136 136 0 0 92 1 1.6E+03 -508.733 145 AFH 137 137 0 0 88 1 1.7E+03 -508.733 146 AFH 138 138 0 0 94 1 1.6E+03 -507.733 147 AFH 139 139 0 0 92 1 1.7E+03 -506.733 148 AFH 140 140 0 0 92 1 1.7E+03 -505.855 149 AFH 141 141 0 0 1.1E+02 1 1.8E+03 -505.733 150 AFH 142 142 0 0 1.1E+02 1 1.5E+03 -505.733 151 AFH 143 143 0 0 1.1E+02 1 1.6E+03 -505.393 152 AFH 144 144 0 0 85 1 1.5E+03 -504.733 153 AFH 145 145 0 0 1.1E+02 1 1.8E+03 -503.733 154 AFH 146 146 0 0 1E+02 1 1.7E+03 -503.087 155 AFH 147 147 0 0 1.1E+02 1 1.6E+03 -502.733 156 AFH 148 148 0 0 1.1E+02 1 1.5E+03 -502.733 157 AFH 149 149 0 0 96 1 1.6E+03 -501.733 158 AFH 150 150 0 0 98 1 1.6E+03 -499.69 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 151 151 0 0 93 1 1.6E+03 -498.573 160 AFH 152 152 0 0 93 1 1.6E+03 -497.733 161 AFH 153 153 0 0 87 1 1.6E+03 -497.733 162 AFH 154 154 0 0 1E+02 1 1.7E+03 -497.733 163 AFH 155 155 0 0 97 1 1.6E+03 -496.63 164 AFH 156 156 0 0 94 1 1.6E+03 -494.137 165 AFH 157 157 0 0 93 1 1.6E+03 -493.733 166 AFH 158 158 0 0 1.1E+02 1 1.7E+03 -493.008 167 AFH 159 159 0 0 86 1 1.6E+03 -491.959 168 AFH 160 160 0 0 88 1 1.6E+03 -491.733 169 AFH 161 161 0 0 87 1 1.6E+03 -490.392 170 AFH 162 162 0 0 77 1 1.5E+03 -489.733 171 AFH 163 163 0 0 96 1 1.5E+03 -489.733 172 AFH 164 164 0 0 1.1E+02 1 1.6E+03 -488.733 173 AFH 165 165 0 0 98 1 1.7E+03 -487.733 174 AFH 166 166 0 0 86 1 1.6E+03 -487.733 175 AFH 167 167 0 0 91 1 1.7E+03 -487.133 176 AFH 168 168 0 0 1.1E+02 1 1.6E+03 -486.442 177 AFH 169 169 0 0 83 1 1.5E+03 -485.733 178 AFH 170 170 0 0 1E+02 1 1.6E+03 -484.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 171 171 0 0 1E+02 1 1.6E+03 -483.733 180 AFH 172 172 0 0 90 1 1.6E+03 -482.733 181 AFH 173 173 0 0 1.1E+02 1 1.6E+03 -481.733 182 AFH 174 174 0 0 1.1E+02 1 1.6E+03 -481.733 183 AFH 175 175 0 0 1.1E+02 1 1.6E+03 -480.733 184 AFH 176 176 0 0 1E+02 1 1.6E+03 -480.543 185 AFH 177 177 0 0 98 1 1.6E+03 -478.733 186 AFH 178 178 0 0 84 1 1.6E+03 -477.733 187 AFH 179 179 0 0 88 1 1.5E+03 -477.733 188 AFH 180 180 0 0 86 1 1.5E+03 -476.849 189 AFH 181 181 0 0 1.1E+02 1 1.5E+03 -476.164 190 AFH 182 182 0 0 1.1E+02 1 1.6E+03 -475.731 191 AFH 183 183 0 0 1.1E+02 1 1.6E+03 -475.118 192 AFH 184 184 0 0 93 1 1.6E+03 -475.051 193 AFH 185 185 0 0 1E+02 1 1.6E+03 -473.733 194 AFH 186 186 0 0 1.1E+02 1 1.5E+03 -473.4 195 AFH 187 187 0 0 1E+02 1 1.5E+03 -472.981 196 AFH 188 188 0 0 91 1 1.6E+03 -472.733 197 AFH 189 189 0 0 86 1 1.5E+03 -471.733 198 AFH 190 190 0 0 1E+02 1 1.5E+03 -471.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 191 191 0 0 99 1 1.4E+03 -470.168 200 AFH 192 192 0 0 1.1E+02 1 1.5E+03 -469.333 201 AFH 193 193 0 0 1.1E+02 1 1.6E+03 -469.327 202 AFH 194 194 0 0 1E+02 1 1.6E+03 -468.733 203 AFH 195 195 0 0 98 1 1.6E+03 -467.733 204 AFH 196 196 0 0 1.1E+02 1 1.6E+03 -467.457 205 AFH 197 197 0 0 88 1 1.6E+03 -466.733 206 AFH 198 198 0 0 1.1E+02 1 1.6E+03 -466.294 207 AFH 199 199 0 0 92 1 1.5E+03 -465.155 208 AFH 200 200 0 0 95 1 1.6E+03 -464.733 209 AFH 201 201 0 0 1.1E+02 1 1.5E+03 -464.441 210 AFH 202 202 0 0 1.1E+02 1 1.5E+03 -463.549 211 AFH 203 203 0 0 1.1E+02 1 1.4E+03 -461.947 212 AFH 204 204 0 0 1E+02 1 1.6E+03 -460.432 213 AFH 205 205 0 0 92 1 1.5E+03 -460.421 214 AFH 206 206 0 0 92 1 1.6E+03 -459.277 215 AFH 207 207 0 0 98 1 1.5E+03 -459.18 216 AFH 208 208 0 0 1.1E+02 1 1.4E+03 -458.446 217 AFH 209 209 0 0 94 1 1.5E+03 -456.907 218 AFH 210 210 0 0 94 1 1.6E+03 -455.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 211 211 0 0 87 1 1.6E+03 -455.733 220 AFH 212 212 0 0 1E+02 1 1.5E+03 -454.719 221 AFH 213 213 0 0 1.1E+02 1 1.6E+03 -453.866 222 AFH 214 214 0 0 84 1 1.5E+03 -453.568 223 AFH 215 215 0 0 97 1 1.3E+03 -452.563 224 AFH 216 216 0 0 1E+02 1 1.6E+03 -451.632 225 AFH 217 217 0 0 86 1 1.4E+03 -451.363 226 AFH 218 218 0 0 95 1 1.5E+03 -448.38 227 AFH 219 219 0 0 1.1E+02 1 1.4E+03 -447.393 228 AFH 220 220 0 0 1.1E+02 1 1.4E+03 -446.961 229 AFH 221 221 0 0 1.1E+02 1 1.5E+03 -445.622 230 AFH 222 222 0 0 1.1E+02 1 1.6E+03 -445.5 231 AFG 223 223 0 0 98 0 0 394.982 231 FOUND SOLUTION: 394.982 (NLP) in 2891 sec. 232 AFH 223 223 0 0 57 1 1.3E+03 -444.288 233 AFH 224 224 0 0 1.1E+02 1 1.6E+03 -443.83 234 AFH 225 225 0 0 94 1 1.5E+03 -439.348 235 AFH 226 226 0 0 1E+02 1 1.5E+03 -437.82 236 AFH 227 227 0 0 1.1E+02 1 1.5E+03 -437.17 237 AFH 228 228 0 0 1.1E+02 1 1.5E+03 -436.912 238 AFH 229 229 0 0 96 1 1.4E+03 -436.733 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 230 230 0 0 92 1 1.5E+03 -434.834 240 AFH 231 231 0 0 88 1 1.4E+03 -434.352 241 AFH 232 232 0 0 1E+02 1 1.5E+03 -434.178 242 AFH 233 233 0 0 93 1 1.4E+03 -432.852 243 AFH 234 234 0 0 1.1E+02 1 1.6E+03 -431.634 244 AFH 235 235 0 0 94 1 1.4E+03 -431.566 245 AFH 236 236 0 0 93 1 1.6E+03 -431.36 246 AFH 237 237 0 0 91 1 1.5E+03 -430.93 247 AFH 238 238 0 0 1.1E+02 1 1.7E+03 -430.925 248 AFH 239 239 0 0 96 1 1.4E+03 -429.9 249 AFH 240 240 0 0 96 1 1.4E+03 -429.804 250 AFH 241 241 0 0 1E+02 1 1.4E+03 -429.199 251 AFH 242 242 0 0 95 1 1.5E+03 -427.799 252 AFH 243 243 0 0 97 1 1.6E+03 -427.504 253 AFH 244 244 0 0 95 1 1.4E+03 -425.28 254 AFH 245 245 0 0 92 1 1.4E+03 -424.73 255 AFH 246 246 0 0 1.1E+02 1 1.5E+03 -423.308 256 AFH 247 247 0 0 1.1E+02 1 1.5E+03 -422.63 257 AFH 248 248 0 0 1.1E+02 1 1.5E+03 -421.207 258 AFH 249 249 0 0 96 1 1.5E+03 -420.584 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.96_uflquad-20-50._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 394.98227013336713753 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 394.98227013336713753 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 259 Iteration limit : -1 Function evaluations : 293 Gradient evaluations : 251 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 162/259 NLP solver calls : 258 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-20-50.gms(2878) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-20-50.gms Stop 09/14/12 16:40:02 elapsed 2:00:02.175 @04 1347633602 ----------------------------- Fr 14. Sep 16:40:02 CEST 2012 ----------------------------- =ready= Linux opt209 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-25-25.gms =========== ----------------------------- Fr 14. Sep 14:40:41 CEST 2012 ----------------------------- @03 1347626441 --- Job uflquad-25-25.gms Start 09/14/12 14:40:41 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-25-25.gms(1790) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- uflquad-25-25.gms(1788) 3 Mb --- Generating MIQCP model m --- uflquad-25-25.gms(1790) 5 Mb --- 651 rows 651 columns 2,526 non-zeroes --- 2,502 nl-code 625 nl-non-zeroes --- 25 discrete-columns --- uflquad-25-25.gms(1790) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.97_uflquad-25-25._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2526 elements of which 25% are non-linear(NL) included in 651 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 625 from a total of 651 variables: Continuous(626), Binary(25), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=128 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.1E+02 NA 1 SAFG 1 1 0 1 89 0 0 716.37 1 FOUND SOLUTION: 716.37 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 6.1E+02 109.978 3 SAFH 2 2 0 1 52 1 6.2E+02 145.767 4 SAFJL 3 3 0 1 0 0 1.1E-13 769.139 5 SAFH 2 2 0 0.5 52 1 1.2E+03 -306.37 6 SAFH 3 3 0 0.5 52 1 1.2E+03 -285.37 7 SAFH 4 4 0 0.5 52 1 1.2E+03 -271.37 8 SAFH 5 5 0 0.5 52 1 1.3E+03 -264.37 9 SAFH 6 6 0 0.5 52 1 1.4E+03 -248.37 10 SAFH 7 7 0 0.5 52 1 1.2E+03 -245.37 11 SAFJ 8 8 0 0.5 52 0 4.5E-13 1133.93 12 SAFJ 8 8 0 0.3 0 0 4.5E-13 1133.93 13 SAFJ 8 8 0 0.2 0 0 4.5E-13 1133.93 14 SAFJ 8 8 0 0.1 0 0 4.5E-13 1133.93 15 AFH 8 8 0 0 52 1 1.1E+03 -239.37 16 AFH 9 9 0 0 52 1 1.3E+03 -233.37 17 AFH 10 10 0 0 52 1 1E+03 -230.37 18 AFH 11 11 0 0 52 1 1E+03 -209.873 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 12 12 0 0 52 1 1.3E+03 -208.873 20 AFH 13 13 0 0 52 1 1.2E+03 -206.873 21 AFH 14 14 0 0 52 1 1.2E+03 -195.873 22 AFH 15 15 0 0 52 1 1.2E+03 -187.873 23 AFH 16 16 0 0 52 1 1.4E+03 -173.873 24 AFH 17 17 0 0 52 1 1.1E+03 -157.873 25 AFH 18 18 0 0 52 1 1.4E+03 -151.873 26 AFH 19 19 0 0 52 1 1E+03 -150.873 27 AFH 20 20 0 0 52 1 1.1E+03 -138.873 28 AFH 21 21 0 0 52 1 1E+03 -137.873 29 AFH 22 22 0 0 52 1 1.4E+03 -124.873 30 AFH 23 23 0 0 52 1 1.2E+03 -120.873 31 AFH 24 24 0 0 52 1 1.1E+03 -117.873 32 AFH 25 25 0 0 53 1 6.6E+02 217.976 33 AFH 26 26 0 0 54 1 7.6E+02 255.021 34 AFG 27 27 0 0 54 0 0 711.152 34 FOUND SOLUTION: 711.152 (NLP) in 5 sec. 35 AFH 27 27 0 0 16 1 6.6E+02 255.752 36 AFH 28 28 0 0 54 1 7.4E+02 272.06 37 AFG 29 29 0 0 54 0 0 695.577 37 FOUND SOLUTION: 695.577 (NLP) in 7 sec. 38 AFH 29 29 0 0 17 1 5.9E+02 277.632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 30 30 0 0 35 0 0 673.697 39 FOUND SOLUTION: 673.697 (NLP) in 9 sec. 40 AFH 30 30 0 0 18 1 5.9E+02 282.671 41 AFH 31 31 0 0 54 1 6.5E+02 298.422 42 AFH 32 32 0 0 54 1 7E+02 303.353 43 AFH 33 33 0 0 54 1 6E+02 306.601 44 AFH 34 34 0 0 54 1 5.8E+02 308.801 45 AFH 35 35 0 0 38 1 6.9E+02 311.167 46 AFH 36 36 0 0 54 1 6.5E+02 312.456 47 AFH 37 37 0 0 54 1 5.6E+02 312.528 48 AFH 38 38 0 0 34 1 6.5E+02 316.426 49 AFH 39 39 0 0 37 1 5.6E+02 320.836 50 AFH 40 40 0 0 37 1 6.2E+02 321.202 51 AFH 41 41 0 0 54 1 7.3E+02 323.813 52 AFH 42 42 0 0 54 1 5.1E+02 327.861 53 AFH 43 43 0 0 36 1 6.5E+02 329.087 54 AFH 44 44 0 0 37 1 5.7E+02 329.688 55 AFH 45 45 0 0 54 1 7.1E+02 331.37 56 AFH 46 46 0 0 36 1 7.8E+02 334.347 57 AFH 47 47 0 0 35 1 6.5E+02 340.833 58 AFH 48 48 0 0 38 1 6.6E+02 341.61 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 49 49 0 0 54 1 6.9E+02 342.167 60 AFH 50 50 0 0 54 1 5.7E+02 344.199 61 AFH 51 51 0 0 54 1 6.4E+02 345.972 62 AFH 52 52 0 0 36 1 5.6E+02 346.436 63 AFH 53 53 0 0 54 1 6.4E+02 346.732 64 AFH 54 54 0 0 37 1 6.3E+02 347.973 65 AFH 55 55 0 0 54 1 6.4E+02 349.616 66 AFH 56 56 0 0 54 1 6E+02 349.992 67 AFH 57 57 0 0 54 1 6.9E+02 349.999 68 AFH 58 58 0 0 37 1 7E+02 351.546 69 AFH 59 59 0 0 54 1 5.3E+02 352.23 70 AFH 60 60 0 0 54 1 6.6E+02 353.542 71 AFH 61 61 0 0 54 1 6.5E+02 353.844 72 AFH 62 62 0 0 54 1 5.7E+02 355.724 73 AFH 63 63 0 0 54 1 7.2E+02 356.8 74 AFH 64 64 0 0 38 1 5.8E+02 360.807 75 AFH 65 65 0 0 40 1 6.3E+02 363.116 76 AFH 66 66 0 0 54 1 5.4E+02 363.807 77 AFH 67 67 0 0 33 1 6.4E+02 363.871 78 AFH 68 68 0 0 35 1 5.8E+02 364.456 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 69 69 0 0 54 1 6.2E+02 368.328 80 AFH 70 70 0 0 39 1 7E+02 368.606 81 AFH 71 71 0 0 54 1 5.8E+02 368.708 82 AFH 72 72 0 0 54 1 6.7E+02 369.024 83 AFH 73 73 0 0 54 1 5.8E+02 369.677 84 AFH 74 74 0 0 33 1 6E+02 369.808 85 AFH 75 75 0 0 54 1 7.6E+02 370.1 86 AFH 76 76 0 0 37 1 6.5E+02 372.273 87 AFH 77 77 0 0 35 1 6.6E+02 373.081 88 AFH 78 78 0 0 36 1 7.4E+02 374.869 89 AFH 79 79 0 0 54 1 6.6E+02 375.045 90 AFH 80 80 0 0 35 1 6.5E+02 379.427 91 AFH 81 81 0 0 54 1 6.7E+02 379.676 92 AFH 82 82 0 0 54 1 7.1E+02 379.689 93 AFH 83 83 0 0 40 1 7E+02 379.756 94 AFH 84 84 0 0 54 1 5.8E+02 379.913 95 AFH 85 85 0 0 54 1 6.4E+02 380.137 96 AFH 86 86 0 0 54 1 6.2E+02 380.712 97 AFH 87 87 0 0 54 1 6.4E+02 382.35 98 AFH 88 88 0 0 42 1 7.2E+02 384.728 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 89 89 0 0 54 1 6.2E+02 385.109 100 AFH 90 90 0 0 54 1 5.6E+02 385.217 101 AFH 91 91 0 0 54 1 5.8E+02 385.381 102 AFH 92 92 0 0 54 1 6.4E+02 385.991 103 AFH 93 93 0 0 54 1 6.2E+02 386.818 104 AFH 94 94 0 0 54 1 5.7E+02 387.496 105 AFH 95 95 0 0 41 1 5.1E+02 388.025 106 AFH 96 96 0 0 32 1 5.6E+02 388.503 107 AFH 97 97 0 0 54 1 6.2E+02 389.716 108 AFH 98 98 0 0 54 1 5.7E+02 390.229 109 AFH 99 99 0 0 54 1 6.6E+02 391.839 110 AFH 100 100 0 0 54 1 5.9E+02 393.289 111 AFH 101 101 0 0 38 1 7E+02 393.654 112 AFH 102 102 0 0 40 1 6.4E+02 394.126 113 AFH 103 103 0 0 54 1 5.5E+02 394.286 114 AFH 104 104 0 0 54 1 6E+02 395.427 115 AFH 105 105 0 0 54 1 7.1E+02 395.486 116 AFH 106 106 0 0 39 1 6.8E+02 395.886 117 AFH 107 107 0 0 54 1 6.5E+02 398.065 118 AFH 108 108 0 0 54 1 5.9E+02 398.46 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 109 109 0 0 54 1 7.1E+02 399.436 120 AFH 110 110 0 0 54 1 5.8E+02 399.575 121 AFH 111 111 0 0 54 1 5.4E+02 400.126 122 AFH 112 112 0 0 54 1 5.1E+02 401.393 123 AFH 113 113 0 0 32 1 5.7E+02 401.608 124 AFH 114 114 0 0 36 1 4.9E+02 402.161 125 AFH 115 115 0 0 54 1 6.4E+02 402.349 126 AFH 116 116 0 0 54 1 7.5E+02 402.415 127 AFH 117 117 0 0 54 1 6E+02 402.6 128 AFH 118 118 0 0 54 1 6.6E+02 402.648 129 AFH 119 119 0 0 54 1 6.2E+02 403.059 130 AFH 120 120 0 0 36 1 6.6E+02 403.741 131 AFH 121 121 0 0 54 1 6.8E+02 404.887 132 AFH 122 122 0 0 40 1 6.5E+02 405.159 133 AFH 123 123 0 0 36 1 6.8E+02 405.52 134 AFH 124 124 0 0 54 1 5.6E+02 405.711 135 AFH 125 125 0 0 54 1 7.4E+02 406.076 136 AFH 126 126 0 0 54 1 6.2E+02 406.36 137 AFH 127 127 0 0 39 1 5.9E+02 406.499 138 AFH 128 128 0 0 39 1 6.4E+02 406.602 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 129 129 0 0 54 1 6.4E+02 408.369 140 AFH 130 130 0 0 54 1 6.8E+02 408.405 141 AFH 131 131 0 0 54 1 6E+02 408.561 142 AFH 132 132 0 0 54 1 5.5E+02 408.644 143 AFH 133 133 0 0 54 1 5.4E+02 408.748 144 AFH 134 134 0 0 54 1 6.4E+02 409.613 145 AFH 135 135 0 0 54 1 6.8E+02 410.081 146 AFH 136 136 0 0 54 1 5.4E+02 410.569 147 AFH 137 137 0 0 40 1 6.4E+02 410.624 148 AFH 138 138 0 0 44 1 6.4E+02 411.175 149 AFH 139 139 0 0 41 1 6.1E+02 411.564 150 AFH 140 140 0 0 54 1 7E+02 411.693 151 AFH 141 141 0 0 54 1 6E+02 411.987 152 AFH 142 142 0 0 54 1 6.4E+02 412.322 153 AFH 143 143 0 0 54 1 7E+02 412.559 154 AFH 144 144 0 0 54 1 7E+02 412.596 155 AFH 145 145 0 0 54 1 7E+02 412.683 156 AFH 146 146 0 0 54 1 4.9E+02 413.112 157 AFH 147 147 0 0 54 1 6.5E+02 414.271 158 AFH 148 148 0 0 54 1 7.1E+02 414.585 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 149 149 0 0 54 1 6E+02 414.594 160 AFH 150 150 0 0 35 1 5.5E+02 415.017 161 AFH 151 151 0 0 54 1 6.6E+02 415.101 162 AFH 152 152 0 0 40 1 7.6E+02 415.972 163 AFH 153 153 0 0 34 1 6.2E+02 415.974 164 AFH 154 154 0 0 54 1 5.8E+02 416.005 165 AFH 155 155 0 0 54 1 6.5E+02 416.66 166 AFH 156 156 0 0 39 1 5.3E+02 417.125 167 AFH 157 157 0 0 54 1 6.4E+02 417.32 168 AFH 158 158 0 0 34 1 7.2E+02 417.732 169 AFH 159 159 0 0 34 1 6E+02 418.672 170 AFH 160 160 0 0 54 1 5.6E+02 418.675 171 AFH 161 161 0 0 54 1 7.4E+02 418.81 172 AFH 162 162 0 0 42 1 6E+02 418.892 173 AFH 163 163 0 0 54 1 7.1E+02 419.161 174 AFH 164 164 0 0 54 1 5.5E+02 419.243 175 AFH 165 165 0 0 54 1 6.1E+02 419.272 176 AFH 166 166 0 0 54 1 6.7E+02 420.351 177 AFH 167 167 0 0 42 1 5.4E+02 420.392 178 AFH 168 168 0 0 54 1 6.5E+02 422.026 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 169 169 0 0 37 1 5.9E+02 422.076 180 AFH 170 170 0 0 37 1 6.5E+02 422.214 181 AFH 171 171 0 0 54 1 5.3E+02 422.592 182 AFH 172 172 0 0 54 1 6.2E+02 422.731 183 AFH 173 173 0 0 39 1 5.5E+02 423.128 184 AFH 174 174 0 0 54 1 7.6E+02 423.436 185 AFH 175 175 0 0 54 1 6.6E+02 423.983 186 AFH 176 176 0 0 36 1 5E+02 424.412 187 AFH 177 177 0 0 54 1 6.7E+02 424.443 188 AFH 178 178 0 0 38 1 5.8E+02 424.475 189 AFH 179 179 0 0 54 1 5.6E+02 425.045 190 AFH 180 180 0 0 54 1 6.2E+02 425.352 191 AFH 181 181 0 0 40 1 5.4E+02 425.376 192 AFH 182 182 0 0 54 1 5.6E+02 425.385 193 AFH 183 183 0 0 54 1 6.2E+02 425.605 194 AFH 184 184 0 0 54 1 5.2E+02 425.674 195 AFH 185 185 0 0 54 1 6.9E+02 426.412 196 AFH 186 186 0 0 54 1 6.4E+02 426.935 197 AFH 187 187 0 0 54 1 5.2E+02 427.122 198 AFH 188 188 0 0 54 1 6.8E+02 427.66 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 189 189 0 0 54 1 6.9E+02 427.812 200 AFH 190 190 0 0 54 1 5.8E+02 427.829 201 AFH 191 191 0 0 38 1 6.4E+02 428.193 202 AFH 192 192 0 0 54 1 5.9E+02 428.451 203 AFH 193 193 0 0 54 1 5.4E+02 428.866 204 AFH 194 194 0 0 54 1 6.3E+02 429.012 205 AFH 195 195 0 0 42 1 5.5E+02 429.089 206 AFH 196 196 0 0 54 1 6.4E+02 429.511 207 AFH 197 197 0 0 54 1 6.4E+02 429.603 208 AFH 198 198 0 0 54 1 5.8E+02 429.919 209 AFH 199 199 0 0 54 1 4.7E+02 430.593 210 AFH 200 200 0 0 54 1 5.5E+02 430.869 211 AFH 201 201 0 0 39 1 6E+02 431.142 212 AFH 202 202 0 0 54 1 5.4E+02 431.25 213 AFH 203 203 0 0 54 1 6.4E+02 431.297 214 AFH 204 204 0 0 54 1 5.2E+02 431.571 215 AFH 205 205 0 0 40 1 6.6E+02 431.747 216 AFH 206 206 0 0 54 1 5E+02 431.779 217 AFH 207 207 0 0 54 1 6.2E+02 431.829 218 AFH 208 208 0 0 54 1 6.4E+02 432.09 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 209 209 0 0 54 1 6.5E+02 432.143 220 AFH 210 210 0 0 54 1 5.8E+02 432.817 221 AFH 211 211 0 0 54 1 4.9E+02 433.002 222 AFH 212 212 0 0 39 1 7.3E+02 433.215 223 AFH 213 213 0 0 54 1 6.6E+02 433.291 224 AFH 214 214 0 0 46 1 6.6E+02 433.483 225 AFH 215 215 0 0 42 1 5.9E+02 434.033 226 AFH 216 216 0 0 41 1 7E+02 434.288 227 AFH 217 217 0 0 32 1 6.4E+02 434.676 228 AFH 218 218 0 0 54 1 5.8E+02 434.694 229 AFH 219 219 0 0 54 1 5.6E+02 434.986 230 AFH 220 220 0 0 37 1 5.9E+02 435.851 231 AFH 221 221 0 0 54 1 6.9E+02 436.249 232 AFH 222 222 0 0 54 1 5.1E+02 436.414 233 AFH 223 223 0 0 54 1 6.5E+02 436.664 234 AFH 224 224 0 0 54 1 6.1E+02 436.993 235 AFH 225 225 0 0 54 1 7.6E+02 437.004 236 AFH 226 226 0 0 54 1 5E+02 437.359 237 AFH 227 227 0 0 43 1 5.6E+02 437.606 238 AFH 228 228 0 0 54 1 6.5E+02 437.612 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 229 229 0 0 54 1 5.2E+02 437.662 240 AFH 230 230 0 0 38 1 4.6E+02 437.835 241 AFH 231 231 0 0 41 1 4.6E+02 438.229 242 AFH 232 232 0 0 39 1 5.9E+02 438.293 243 AFH 233 233 0 0 54 1 6.6E+02 438.499 244 AFH 234 234 0 0 44 1 5.5E+02 438.797 245 AFH 235 235 0 0 39 1 5.8E+02 438.989 246 AFH 236 236 0 0 41 1 4.5E+02 439.49 247 AFH 237 237 0 0 54 1 6.1E+02 439.72 248 AFH 238 238 0 0 54 1 4.9E+02 440.381 249 AFH 239 239 0 0 54 1 5.8E+02 440.394 250 AFH 240 240 0 0 54 1 5.3E+02 440.668 251 AFH 241 241 0 0 54 1 6.4E+02 441.217 252 AFH 242 242 0 0 38 1 5.7E+02 441.332 253 AFH 243 243 0 0 54 1 5.4E+02 441.435 254 AFH 244 244 0 0 38 1 4.1E+02 441.49 255 AFH 245 245 0 0 39 1 5.4E+02 441.499 256 AFH 246 246 0 0 54 1 5.9E+02 441.824 257 AFH 247 247 0 0 54 1 5.8E+02 441.976 258 AFH 248 248 0 0 54 1 5.8E+02 442.051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 249 249 0 0 54 1 4.3E+02 442.062 260 AFH 250 250 0 0 39 1 5.6E+02 442.267 261 AFH 251 251 0 0 35 1 4.1E+02 442.625 262 AFH 252 252 0 0 22 1 3.8E+02 442.791 263 AFH 253 253 0 0 35 1 4.6E+02 442.874 264 AFH 254 254 0 0 54 1 6.5E+02 443.488 265 AFH 255 255 0 0 54 1 6.8E+02 443.841 266 AFH 256 256 0 0 54 1 4.9E+02 444.071 267 AFH 257 257 0 0 54 1 7.1E+02 444.075 268 AFH 258 258 0 0 54 1 5.1E+02 444.346 269 AFH 259 259 0 0 40 1 5.3E+02 444.795 270 AFH 260 260 0 0 54 1 5.2E+02 444.946 271 AFH 261 261 0 0 54 1 6.8E+02 444.985 272 AFH 262 262 0 0 54 1 3.6E+02 445.213 273 AFH 263 263 0 0 38 1 5.8E+02 445.388 274 AFH 264 264 0 0 41 1 5E+02 445.5 275 AFH 265 265 0 0 54 1 6.9E+02 445.783 276 AFH 266 266 0 0 54 1 4.7E+02 445.84 277 AFH 267 267 0 0 37 1 5.6E+02 445.881 278 AFH 268 268 0 0 42 1 6.1E+02 446.234 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 269 269 0 0 54 1 6.6E+02 446.306 280 AFH 270 270 0 0 54 1 5.7E+02 446.34 281 AFH 271 271 0 0 54 1 6.4E+02 447.152 282 AFH 272 272 0 0 39 1 5.3E+02 447.495 283 AFH 273 273 0 0 46 1 5.5E+02 447.512 284 AFH 274 274 0 0 54 1 4.5E+02 447.934 285 AFH 275 275 0 0 54 1 7.6E+02 448.33 286 AFH 276 276 0 0 54 1 6.2E+02 448.493 287 AFH 277 277 0 0 54 1 5.6E+02 449.088 288 AFH 278 278 0 0 54 1 7.4E+02 449.187 289 AFH 279 279 0 0 36 1 6.5E+02 449.324 290 AFH 280 280 0 0 37 1 4.6E+02 449.744 291 AFH 281 281 0 0 37 1 5.1E+02 449.839 292 AFH 282 282 0 0 39 1 5.1E+02 450.09 293 AFH 283 283 0 0 54 1 4.9E+02 450.097 294 AFH 284 284 0 0 54 1 4.8E+02 450.14 295 AFH 285 285 0 0 36 1 6.4E+02 450.35 296 AFH 286 286 0 0 54 1 6.4E+02 450.503 297 AFH 287 287 0 0 35 1 6.5E+02 450.612 298 AFH 288 288 0 0 54 1 6.3E+02 450.697 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 289 289 0 0 54 1 7E+02 450.706 300 AFH 290 290 0 0 54 1 6.1E+02 450.927 301 AFH 291 291 0 0 54 1 6.8E+02 451.622 302 AFH 292 292 0 0 54 1 5.8E+02 452.528 303 AFH 293 293 0 0 40 1 5.6E+02 452.802 304 AFH 294 294 0 0 37 1 4.5E+02 452.898 305 AFH 295 295 0 0 54 1 6.1E+02 453.191 306 AFH 296 296 0 0 54 1 6.9E+02 453.418 307 AFH 297 297 0 0 54 1 5.9E+02 453.56 308 AFH 298 298 0 0 54 1 6.8E+02 453.68 309 AFH 299 299 0 0 54 1 4.5E+02 454.967 310 AFH 300 300 0 0 54 1 7.3E+02 455.001 311 AFH 301 301 0 0 39 1 5.2E+02 455.123 312 AFH 302 302 0 0 54 1 5.9E+02 455.147 313 AFH 303 303 0 0 54 1 5.5E+02 455.416 314 AFH 304 304 0 0 54 1 4.7E+02 455.435 315 AFH 305 305 0 0 35 1 4.4E+02 455.524 316 AFH 306 306 0 0 38 1 6.7E+02 455.772 317 AFH 307 307 0 0 34 1 6.7E+02 455.952 318 AFH 308 308 0 0 54 1 5.1E+02 456.158 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 309 309 0 0 54 1 5.5E+02 456.258 320 AFH 310 310 0 0 54 1 4.7E+02 456.599 321 AFH 311 311 0 0 54 1 5.2E+02 456.659 322 AFH 312 312 0 0 54 1 5.3E+02 456.899 323 AFH 313 313 0 0 54 1 6.6E+02 457.087 324 AFH 314 314 0 0 54 1 7.3E+02 457.207 325 AFH 315 315 0 0 54 1 4.4E+02 457.364 326 AFH 316 316 0 0 54 1 6.6E+02 457.75 327 AFH 317 317 0 0 54 1 6.5E+02 457.886 328 AFH 318 318 0 0 40 1 4.1E+02 458.074 329 AFH 319 319 0 0 39 1 5.7E+02 458.204 330 AFH 320 320 0 0 43 1 4.3E+02 458.371 331 AFH 321 321 0 0 54 1 6.8E+02 458.538 332 AFH 322 322 0 0 35 1 6.3E+02 458.691 333 AFH 323 323 0 0 54 1 7E+02 458.745 334 AFH 324 324 0 0 54 1 6.1E+02 458.811 335 AFH 325 325 0 0 54 1 6.2E+02 458.931 336 AFH 326 326 0 0 54 1 4.7E+02 458.99 337 AFH 327 327 0 0 54 1 5.8E+02 459.104 338 AFH 328 328 0 0 54 1 7E+02 459.218 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 329 329 0 0 54 1 5.9E+02 459.328 340 AFH 330 330 0 0 54 1 5.1E+02 459.331 341 AFH 331 331 0 0 36 1 5.1E+02 459.34 342 AFH 332 332 0 0 54 1 6.5E+02 459.358 343 AFH 333 333 0 0 54 1 6.5E+02 459.4 344 AFH 334 334 0 0 54 1 6.5E+02 459.446 345 AFH 335 335 0 0 34 1 5.7E+02 459.811 346 AFH 336 336 0 0 54 1 7.3E+02 459.872 347 AFH 337 337 0 0 54 1 5.9E+02 459.876 348 AFH 338 338 0 0 54 1 6E+02 459.919 349 AFH 339 339 0 0 44 1 4.8E+02 460.111 350 AFH 340 340 0 0 54 1 5.5E+02 460.266 351 AFH 341 341 0 0 42 1 4E+02 460.273 352 AFH 342 342 0 0 54 1 7.3E+02 460.593 353 AFH 343 343 0 0 54 1 6E+02 460.819 354 AFH 344 344 0 0 54 1 6.3E+02 460.899 355 AFH 345 345 0 0 54 1 6.5E+02 460.956 356 AFH 346 346 0 0 54 1 6.8E+02 460.959 357 AFH 347 347 0 0 54 1 7.4E+02 460.972 358 AFH 348 348 0 0 54 1 6.2E+02 461.162 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 349 349 0 0 44 1 6.6E+02 461.171 360 AFH 350 350 0 0 38 1 6.9E+02 461.725 361 AFH 351 351 0 0 54 1 5.3E+02 461.885 362 AFH 352 352 0 0 54 1 5.6E+02 462.099 363 AFH 353 353 0 0 40 1 4.8E+02 462.148 364 AFH 354 354 0 0 54 1 5.8E+02 462.353 365 AFH 355 355 0 0 54 1 5.6E+02 462.82 366 AFH 356 356 0 0 54 1 6.4E+02 463.189 367 AFH 357 357 0 0 54 1 6.2E+02 463.39 368 AFH 358 358 0 0 39 1 5E+02 463.401 369 AFH 359 359 0 0 54 1 5.2E+02 463.829 370 AFH 360 360 0 0 37 1 5.5E+02 464.047 371 AFH 361 361 0 0 54 1 5.8E+02 464.711 372 AFH 362 362 0 0 54 1 7.3E+02 465.016 373 AFH 363 363 0 0 54 1 6E+02 465.384 374 AFH 364 364 0 0 54 1 5.8E+02 465.396 375 AFH 365 365 0 0 39 1 5.3E+02 465.712 376 AFH 366 366 0 0 54 1 5.7E+02 465.934 377 AFH 367 367 0 0 54 1 5.4E+02 465.986 378 AFH 368 368 0 0 37 1 6.3E+02 466.029 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 369 369 0 0 54 1 3.9E+02 466.312 380 AFH 370 370 0 0 40 1 6.1E+02 466.55 381 AFH 371 371 0 0 40 1 6E+02 466.7 382 AFH 372 372 0 0 54 1 6.8E+02 466.745 383 AFH 373 373 0 0 38 1 6E+02 467.037 384 AFH 374 374 0 0 54 1 5.7E+02 467.073 385 AFH 375 375 0 0 54 1 5.1E+02 467.141 386 AFH 376 376 0 0 54 1 5.2E+02 467.184 387 AFH 377 377 0 0 40 1 5.7E+02 467.426 388 AFH 378 378 0 0 54 1 6.4E+02 467.922 389 AFH 379 379 0 0 54 1 6.5E+02 467.998 390 AFH 380 380 0 0 54 1 5.5E+02 468.297 391 AFH 381 381 0 0 54 1 4.6E+02 468.407 392 AFH 382 382 0 0 54 1 5.9E+02 468.962 393 AFH 383 383 0 0 54 1 3.8E+02 468.963 394 AFH 384 384 0 0 54 1 5.7E+02 469.122 395 AFH 385 385 0 0 54 1 3.5E+02 469.243 396 AFH 386 386 0 0 42 1 5.7E+02 469.342 397 AFH 387 387 0 0 39 1 6E+02 469.455 398 AFH 388 388 0 0 35 1 5.4E+02 469.639 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 389 389 0 0 54 1 5.7E+02 469.777 400 AFH 390 390 0 0 39 1 7.3E+02 469.901 401 AFH 391 391 0 0 54 1 7.1E+02 469.989 402 AFH 392 392 0 0 54 1 5.5E+02 470.328 403 AFH 393 393 0 0 42 1 7.2E+02 470.882 404 AFH 394 394 0 0 54 1 6.6E+02 470.953 405 AFH 395 395 0 0 41 1 3.9E+02 471.081 406 AFH 396 396 0 0 54 1 5.1E+02 471.151 407 AFH 397 397 0 0 45 1 4.8E+02 471.399 408 AFH 398 398 0 0 34 1 3.9E+02 471.424 409 AFH 399 399 0 0 42 1 5.3E+02 471.437 410 AFH 400 400 0 0 43 1 6.5E+02 471.856 411 AFH 401 401 0 0 31 1 6.4E+02 471.931 412 AFH 402 402 0 0 54 1 6.1E+02 471.97 413 AFH 403 403 0 0 43 1 5E+02 472.074 414 AFH 404 404 0 0 54 1 7E+02 472.162 415 AFH 405 405 0 0 54 1 4.6E+02 472.231 416 AFH 406 406 0 0 44 1 7E+02 472.529 417 AFH 407 407 0 0 54 1 4.4E+02 472.531 418 AFH 408 408 0 0 54 1 5.8E+02 472.602 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 409 409 0 0 37 1 6.1E+02 472.61 420 AFH 410 410 0 0 54 1 6.2E+02 472.982 421 AFH 411 411 0 0 54 1 5.8E+02 473.366 422 AFH 412 412 0 0 54 1 7E+02 473.379 423 AFH 413 413 0 0 54 1 6E+02 473.419 424 AFH 414 414 0 0 54 1 7.5E+02 473.561 425 AFH 415 415 0 0 54 1 3.2E+02 473.599 426 AFH 416 416 0 0 54 1 6.4E+02 473.983 427 AFH 417 417 0 0 54 1 5.7E+02 474.112 428 AFH 418 418 0 0 54 1 5.5E+02 474.702 429 AFH 419 419 0 0 54 1 6.7E+02 474.789 430 AFH 420 420 0 0 38 1 7E+02 474.884 431 AFH 421 421 0 0 54 1 5.6E+02 475.175 432 AFH 422 422 0 0 54 1 6.2E+02 475.585 433 AFH 423 423 0 0 54 1 3.2E+02 475.68 434 AFH 424 424 0 0 54 1 5.4E+02 475.701 435 AFH 425 425 0 0 54 1 7E+02 475.97 436 AFH 426 426 0 0 54 1 6.9E+02 475.983 437 AFH 427 427 0 0 54 1 4.4E+02 476.096 438 AFH 428 428 0 0 39 1 6E+02 476.097 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 429 429 0 0 54 1 5.3E+02 476.136 440 AFH 430 430 0 0 54 1 6E+02 476.338 441 AFH 431 431 0 0 54 1 6.9E+02 476.454 442 AFH 432 432 0 0 54 1 6.3E+02 476.495 443 AFH 433 433 0 0 54 1 5.7E+02 477.004 444 AFH 434 434 0 0 34 1 5E+02 477.116 445 AFH 435 435 0 0 54 1 5.4E+02 477.294 446 AFH 436 436 0 0 54 1 6.3E+02 477.295 447 AFH 437 437 0 0 54 1 6.7E+02 477.849 448 AFH 438 438 0 0 54 1 6.2E+02 477.877 449 AFH 439 439 0 0 38 1 7.8E+02 477.945 450 AFH 440 440 0 0 54 1 5.4E+02 477.989 451 AFH 441 441 0 0 54 1 5.5E+02 478.003 452 AFH 442 442 0 0 54 1 6.4E+02 478.367 453 AFH 443 443 0 0 54 1 6.3E+02 478.719 454 AFH 444 444 0 0 54 1 6.1E+02 478.745 455 AFH 445 445 0 0 54 1 6E+02 479.081 456 AFH 446 446 0 0 40 1 6.9E+02 479.451 457 AFH 447 447 0 0 54 1 5.9E+02 479.515 458 AFH 448 448 0 0 54 1 3.5E+02 479.586 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 449 449 0 0 54 1 4.8E+02 479.587 460 AFH 450 450 0 0 54 1 6.2E+02 479.807 461 AFH 451 451 0 0 54 1 6.2E+02 479.887 462 AFH 452 452 0 0 54 1 5.8E+02 479.898 463 AFH 453 453 0 0 54 1 5.8E+02 480.011 464 AFH 454 454 0 0 54 1 7.1E+02 480.024 465 AFH 455 455 0 0 43 1 4.3E+02 480.202 466 AFH 456 456 0 0 54 1 6.2E+02 480.298 467 AFH 457 457 0 0 54 1 4E+02 480.356 468 AFH 458 458 0 0 39 1 7.3E+02 480.492 469 AFH 459 459 0 0 54 1 5.7E+02 480.511 470 AFH 460 460 0 0 54 1 5.5E+02 480.642 471 AFH 461 461 0 0 38 1 5.9E+02 480.657 472 AFH 462 462 0 0 37 1 5.5E+02 480.834 473 AFH 463 463 0 0 38 1 5E+02 480.859 474 AFH 464 464 0 0 43 1 3.3E+02 480.877 475 AFH 465 465 0 0 54 1 6.4E+02 480.925 476 AFH 466 466 0 0 54 1 6.8E+02 481.16 477 AFH 467 467 0 0 54 1 4.6E+02 481.19 478 AFH 468 468 0 0 54 1 5.7E+02 481.268 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 469 469 0 0 42 1 6E+02 481.37 480 AFH 470 470 0 0 54 1 6.4E+02 481.399 481 AFH 471 471 0 0 54 1 6.8E+02 481.653 482 AFH 472 472 0 0 54 1 5.3E+02 481.711 483 AFH 473 473 0 0 54 1 6.3E+02 481.854 484 AFH 474 474 0 0 54 1 5.8E+02 481.859 485 AFH 475 475 0 0 54 1 5.4E+02 481.861 486 AFH 476 476 0 0 54 1 5.5E+02 482.095 487 AFH 477 477 0 0 54 1 5.1E+02 482.104 488 AFH 478 478 0 0 54 1 6.2E+02 482.19 489 AFH 479 479 0 0 54 1 6.2E+02 482.244 490 AFH 480 480 0 0 54 1 5.5E+02 482.371 491 AFH 481 481 0 0 44 1 6.5E+02 482.54 492 AFH 482 482 0 0 54 1 5.5E+02 482.713 493 AFH 483 483 0 0 54 1 5.7E+02 482.814 494 AFH 484 484 0 0 40 1 5.1E+02 482.895 495 AFH 485 485 0 0 54 1 6.2E+02 482.989 496 AFH 486 486 0 0 37 1 6.7E+02 483.033 497 AFH 487 487 0 0 54 1 5E+02 483.042 498 AFH 488 488 0 0 54 1 7.4E+02 483.146 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 489 489 0 0 54 1 5.3E+02 483.253 500 AFH 490 490 0 0 54 1 5.5E+02 483.399 501 AFH 491 491 0 0 54 1 6E+02 483.634 502 AFH 492 492 0 0 54 1 4.8E+02 483.823 503 AFH 493 493 0 0 54 1 4.2E+02 483.849 504 AFH 494 494 0 0 54 1 7E+02 484.019 505 AFH 495 495 0 0 54 1 6.9E+02 484.512 506 AFH 496 496 0 0 54 1 6.1E+02 484.557 507 AFH 497 497 0 0 54 1 4.9E+02 484.59 508 AFH 498 498 0 0 42 1 6.7E+02 484.67 509 AFH 499 499 0 0 54 1 5.6E+02 484.749 510 AFH 500 500 0 0 45 1 7.3E+02 485.03 511 AFH 501 501 0 0 54 1 5.9E+02 485.101 512 AFH 502 502 0 0 54 1 5.8E+02 485.306 513 AFH 503 503 0 0 54 1 7.1E+02 485.326 514 AFH 504 504 0 0 54 1 6.8E+02 485.376 515 AFH 505 505 0 0 41 1 4.1E+02 485.398 516 AFH 506 506 0 0 54 1 7.3E+02 485.477 517 AFH 507 507 0 0 54 1 5.3E+02 485.539 518 AFH 508 508 0 0 54 1 6.4E+02 485.629 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 509 509 0 0 54 1 6E+02 485.631 520 AFH 510 510 0 0 54 1 4.7E+02 485.79 521 AFH 511 511 0 0 54 1 5.8E+02 485.793 522 AFH 512 512 0 0 54 1 5.4E+02 485.795 523 AFH 513 513 0 0 38 1 4.8E+02 485.85 524 AFH 514 514 0 0 54 1 5.8E+02 485.998 525 AFH 515 515 0 0 42 1 6.4E+02 486.038 526 AFH 516 516 0 0 54 1 4.6E+02 486.227 527 AFH 517 517 0 0 37 1 6.1E+02 486.329 528 AFH 518 518 0 0 54 1 4E+02 486.413 529 AFH 519 519 0 0 54 1 6.6E+02 486.437 530 AFH 520 520 0 0 54 1 4.9E+02 486.525 531 AFH 521 521 0 0 54 1 5.2E+02 486.592 532 AFH 522 522 0 0 35 1 6.3E+02 486.646 533 AFH 523 523 0 0 54 1 4.4E+02 486.679 534 AFH 524 524 0 0 54 1 6.9E+02 486.882 535 AFH 525 525 0 0 54 1 6.5E+02 486.946 536 AFH 526 526 0 0 36 1 6.7E+02 487.016 537 AFH 527 527 0 0 54 1 6.9E+02 487.089 538 AFH 528 528 0 0 54 1 5.5E+02 487.152 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 529 529 0 0 54 1 4.4E+02 487.283 540 AFH 530 530 0 0 36 1 4.8E+02 487.447 541 AFH 531 531 0 0 54 1 6.5E+02 487.608 542 AFH 532 532 0 0 54 1 5E+02 487.688 543 AFH 533 533 0 0 54 1 6.8E+02 487.747 544 AFH 534 534 0 0 36 1 4.3E+02 487.866 545 AFH 535 535 0 0 39 1 5.6E+02 487.975 546 AFH 536 536 0 0 37 1 3E+02 488.241 547 AFH 537 537 0 0 39 1 5.6E+02 488.915 548 AFH 538 538 0 0 54 1 6.5E+02 489.031 549 AFH 539 539 0 0 54 1 5.3E+02 489.097 550 AFH 540 540 0 0 54 1 4.5E+02 489.105 551 AFH 541 541 0 0 38 1 6.5E+02 489.117 552 AFH 542 542 0 0 54 1 4.9E+02 489.203 553 AFH 543 543 0 0 54 1 6.2E+02 489.344 554 AFH 544 544 0 0 54 1 6.4E+02 489.369 555 AFH 545 545 0 0 54 1 7E+02 489.404 556 AFH 546 546 0 0 54 1 3.8E+02 489.453 557 AFH 547 547 0 0 54 1 6.6E+02 489.496 558 AFH 548 548 0 0 54 1 4.5E+02 489.55 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 AFH 549 549 0 0 34 1 4.4E+02 489.563 560 AFH 550 550 0 0 54 1 5.2E+02 489.816 561 AFH 551 551 0 0 54 1 5.3E+02 490.004 562 AFH 552 552 0 0 54 1 4.4E+02 490.111 563 AFH 553 553 0 0 33 1 3.8E+02 490.113 564 AFH 554 554 0 0 54 1 5.8E+02 490.137 565 AFH 555 555 0 0 54 1 5.4E+02 490.138 566 AFH 556 556 0 0 54 1 4.4E+02 490.193 567 AFH 557 557 0 0 37 1 5.9E+02 490.323 568 AFH 558 558 0 0 38 1 5.6E+02 490.326 569 AFH 559 559 0 0 54 1 6.8E+02 490.594 570 AFH 560 560 0 0 41 1 6.2E+02 490.954 571 AFH 561 561 0 0 54 1 6E+02 491.166 572 AFH 562 562 0 0 37 1 5E+02 491.214 573 AFH 563 563 0 0 39 1 6.8E+02 491.311 574 AFH 564 564 0 0 54 1 3.4E+02 491.362 575 AFH 565 565 0 0 44 1 6.9E+02 491.403 576 AFH 566 566 0 0 39 1 4.8E+02 491.69 577 AFH 567 567 0 0 54 1 6.2E+02 491.708 578 AFH 568 568 0 0 38 1 6.7E+02 492.184 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 AFH 569 569 0 0 54 1 4.9E+02 492.258 580 AFH 570 570 0 0 36 1 4.9E+02 492.321 581 AFH 571 571 0 0 36 1 5.2E+02 492.338 582 AFH 572 572 0 0 54 1 5.7E+02 492.473 583 AFH 573 573 0 0 54 1 4.7E+02 492.576 584 AFH 574 574 0 0 54 1 6.5E+02 492.578 585 AFH 575 575 0 0 54 1 6.3E+02 492.606 586 AFH 576 576 0 0 54 1 5.6E+02 492.629 587 AFH 577 577 0 0 54 1 5.6E+02 492.76 588 AFH 578 578 0 0 54 1 6.3E+02 492.927 589 AFH 579 579 0 0 54 1 4.7E+02 493.019 590 AFH 580 580 0 0 54 1 6.6E+02 493.04 591 AFH 581 581 0 0 54 1 6.6E+02 493.051 592 AFH 582 582 0 0 54 1 6.2E+02 493.351 593 AFH 583 583 0 0 37 1 5.5E+02 493.441 594 AFH 584 584 0 0 54 1 3.2E+02 493.566 595 AFH 585 585 0 0 40 1 5.5E+02 493.645 596 AFH 586 586 0 0 54 1 6.8E+02 493.699 597 AFH 587 587 0 0 40 1 5.3E+02 493.808 598 AFH 588 588 0 0 54 1 4.5E+02 493.854 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 AFH 589 589 0 0 54 1 7.3E+02 494.003 600 AFH 590 590 0 0 39 1 6.4E+02 494.095 601 AFH 591 591 0 0 54 1 7.1E+02 494.118 602 AFH 592 592 0 0 54 1 4.5E+02 494.385 603 AFH 593 593 0 0 54 1 5.3E+02 494.638 604 AFH 594 594 0 0 54 1 5.5E+02 494.8 605 AFH 595 595 0 0 54 1 5.5E+02 494.968 606 AFH 596 596 0 0 54 1 5E+02 494.997 607 AFH 597 597 0 0 41 1 6.6E+02 495.089 608 AFH 598 598 0 0 54 1 5.1E+02 495.186 609 AFH 599 599 0 0 54 1 6.3E+02 495.328 610 AFH 600 600 0 0 54 1 5.3E+02 495.369 611 AFH 601 601 0 0 54 1 6.8E+02 495.671 612 AFH 602 602 0 0 54 1 5.7E+02 496.037 613 AFH 603 603 0 0 54 1 6.5E+02 496.19 614 AFH 604 604 0 0 54 1 3.8E+02 496.431 615 AFH 605 605 0 0 54 1 5.8E+02 496.447 616 AFH 606 606 0 0 54 1 4.9E+02 496.527 617 AFH 607 607 0 0 54 1 6.1E+02 496.567 618 AFH 608 608 0 0 42 1 5.9E+02 496.576 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 AFH 609 609 0 0 54 1 5.3E+02 496.649 620 AFH 610 610 0 0 37 1 5.9E+02 496.861 621 AFH 611 611 0 0 54 1 6.3E+02 496.888 622 AFH 612 612 0 0 54 1 5.6E+02 496.937 623 AFH 613 613 0 0 54 1 7.3E+02 497.013 624 AFH 614 614 0 0 54 1 5.1E+02 497.279 625 AFH 615 615 0 0 54 1 4.2E+02 497.533 626 AFH 616 616 0 0 38 1 5.6E+02 497.614 627 AFH 617 617 0 0 54 1 4.9E+02 497.873 628 AFH 618 618 0 0 24 1 4.6E+02 498.342 629 AFH 619 619 0 0 37 1 5.7E+02 498.45 630 AFH 620 620 0 0 41 1 4.2E+02 498.632 631 AFH 621 621 0 0 54 1 6.7E+02 498.726 632 AFH 622 622 0 0 54 1 4.2E+02 498.77 633 AFH 623 623 0 0 54 1 7.5E+02 498.882 634 AFH 624 624 0 0 54 1 4.9E+02 499.008 635 AFH 625 625 0 0 54 1 5.5E+02 499.039 636 AFH 626 626 0 0 35 1 5.2E+02 499.119 637 AFH 627 627 0 0 54 1 4.3E+02 499.137 638 AFH 628 628 0 0 54 1 6.2E+02 499.222 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 AFH 629 629 0 0 54 1 5.5E+02 499.433 640 AFH 630 630 0 0 54 1 5.6E+02 499.55 641 AFH 631 631 0 0 39 1 5.7E+02 499.554 642 AFH 632 632 0 0 54 1 5.7E+02 499.611 643 AFH 633 633 0 0 54 1 5.5E+02 499.679 644 AFH 634 634 0 0 38 1 4.8E+02 499.915 645 AFH 635 635 0 0 35 1 3.6E+02 500.089 646 AFH 636 636 0 0 54 1 3.5E+02 500.1 647 AFH 637 637 0 0 43 1 5.1E+02 500.269 648 AFH 638 638 0 0 54 1 4.1E+02 500.431 649 AFH 639 639 0 0 54 1 5.7E+02 500.54 650 AFH 640 640 0 0 54 1 4.8E+02 500.67 651 AFH 641 641 0 0 36 1 6.4E+02 500.728 652 AFH 642 642 0 0 54 1 7.1E+02 500.772 653 AFH 643 643 0 0 40 1 5.4E+02 500.793 654 AFH 644 644 0 0 54 1 6.8E+02 501.029 655 AFH 645 645 0 0 54 1 6.4E+02 501.064 656 AFH 646 646 0 0 54 1 5.2E+02 501.073 657 AFH 647 647 0 0 54 1 6.8E+02 501.234 658 AFH 648 648 0 0 54 1 4.8E+02 501.498 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 AFH 649 649 0 0 54 1 5.6E+02 501.522 660 AFH 650 650 0 0 54 1 6.2E+02 501.714 661 AFH 651 651 0 0 54 1 5.9E+02 501.79 662 AFH 652 652 0 0 54 1 6E+02 501.965 663 AFH 653 653 0 0 38 1 5.5E+02 502.129 664 AFH 654 654 0 0 54 1 4.4E+02 502.151 665 AFH 655 655 0 0 39 1 5.9E+02 502.156 666 AFH 656 656 0 0 54 1 7E+02 502.234 667 AFH 657 657 0 0 54 1 6.1E+02 502.277 668 AFH 658 658 0 0 54 1 5.2E+02 502.36 669 AFH 659 659 0 0 54 1 4.7E+02 502.414 670 AFH 660 660 0 0 54 1 4.3E+02 502.527 671 AFH 661 661 0 0 54 1 5.7E+02 502.632 672 AFH 662 662 0 0 54 1 5.4E+02 502.706 673 AFH 663 663 0 0 36 1 6E+02 502.745 674 AFH 664 664 0 0 35 1 5.3E+02 502.845 675 AFH 665 665 0 0 54 1 4.4E+02 502.847 676 AFH 666 666 0 0 54 1 5.1E+02 502.86 677 AFH 667 667 0 0 54 1 6.1E+02 502.87 678 AFH 668 668 0 0 54 1 6.3E+02 502.897 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 AFH 669 669 0 0 54 1 4.8E+02 502.981 680 AFH 670 670 0 0 54 1 5.5E+02 503.005 681 AFH 671 671 0 0 54 1 6.7E+02 503.075 682 AFH 672 672 0 0 37 1 4.1E+02 503.133 683 AFH 673 673 0 0 54 1 5.2E+02 503.3 684 AFH 674 674 0 0 54 1 4.4E+02 503.319 685 AFH 675 675 0 0 54 1 5.4E+02 503.333 686 AFH 676 676 0 0 54 1 4.1E+02 503.415 687 AFH 677 677 0 0 54 1 5.5E+02 503.442 688 AFH 678 678 0 0 54 1 5.1E+02 503.621 689 AFH 679 679 0 0 54 1 6E+02 503.634 690 AFH 680 680 0 0 54 1 5.7E+02 503.753 691 AFH 681 681 0 0 54 1 3.9E+02 503.812 692 AFH 682 682 0 0 54 1 6.4E+02 503.816 693 AFH 683 683 0 0 54 1 3.7E+02 504.113 694 AFH 684 684 0 0 54 1 4.6E+02 504.165 695 AFH 685 685 0 0 54 1 4.2E+02 504.216 696 AFH 686 686 0 0 54 1 5.6E+02 504.225 697 AFH 687 687 0 0 54 1 7.5E+02 504.476 698 AFH 688 688 0 0 54 1 5.2E+02 504.595 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 AFH 689 689 0 0 41 1 4.6E+02 504.688 700 AFH 690 690 0 0 54 1 6.1E+02 504.734 701 AFH 691 691 0 0 54 1 7.4E+02 504.777 702 AFH 692 692 0 0 54 1 4.7E+02 504.781 703 AFH 693 693 0 0 54 1 6.1E+02 504.864 704 AFH 694 694 0 0 41 1 5.9E+02 505.045 705 AFH 695 695 0 0 54 1 4E+02 505.069 706 AFH 696 696 0 0 35 1 5.2E+02 505.13 707 AFH 697 697 0 0 54 1 6.9E+02 505.305 708 AFH 698 698 0 0 54 1 5.6E+02 505.485 709 AFH 699 699 0 0 54 1 5.3E+02 505.518 710 AFH 700 700 0 0 54 1 4.6E+02 505.532 711 AFH 701 701 0 0 54 1 5.4E+02 505.551 712 AFH 702 702 0 0 54 1 4.3E+02 505.629 713 AFH 703 703 0 0 40 1 6.2E+02 505.827 714 AFH 704 704 0 0 54 1 5.4E+02 506.056 715 AFH 705 705 0 0 54 1 6.1E+02 506.164 716 AFH 706 706 0 0 54 1 6.2E+02 506.296 717 AFH 707 707 0 0 54 1 4.8E+02 506.318 718 AFH 708 708 0 0 54 1 5.4E+02 506.353 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 AFH 709 709 0 0 41 1 3.3E+02 506.359 720 AFH 710 710 0 0 43 1 6E+02 506.513 721 AFH 711 711 0 0 54 1 4.8E+02 506.596 722 AFH 712 712 0 0 54 1 6.6E+02 506.696 723 AFH 713 713 0 0 43 1 4.4E+02 506.738 724 AFH 714 714 0 0 54 1 6.5E+02 506.763 725 AFH 715 715 0 0 39 1 5.8E+02 506.789 726 AFH 716 716 0 0 54 1 6.1E+02 506.974 727 AFH 717 717 0 0 54 1 5.4E+02 506.976 728 AFH 718 718 0 0 54 1 5.4E+02 507.285 729 AFH 719 719 0 0 54 1 4.8E+02 507.327 730 AFH 720 720 0 0 54 1 4.1E+02 507.371 731 AFH 721 721 0 0 54 1 5.6E+02 507.431 732 AFH 722 722 0 0 54 1 4.8E+02 507.538 733 AFH 723 723 0 0 54 1 6E+02 507.639 734 AFH 724 724 0 0 54 1 5E+02 507.685 735 AFH 725 725 0 0 54 1 5.7E+02 507.787 736 AFH 726 726 0 0 54 1 4.8E+02 507.843 737 AFH 727 727 0 0 54 1 5.8E+02 507.849 738 AFH 728 728 0 0 54 1 3.6E+02 507.961 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 AFH 729 729 0 0 36 1 4.3E+02 508.11 740 AFH 730 730 0 0 54 1 6.5E+02 508.156 741 AFH 731 731 0 0 54 1 5.6E+02 508.184 742 AFH 732 732 0 0 54 1 5.6E+02 508.254 743 AFH 733 733 0 0 44 1 5.3E+02 508.385 744 AFH 734 734 0 0 54 1 6.1E+02 508.399 745 AFH 735 735 0 0 54 1 7.2E+02 508.4 746 AFH 736 736 0 0 54 1 4E+02 508.68 747 AFH 737 737 0 0 41 1 7.1E+02 508.705 748 AFH 738 738 0 0 54 1 6.5E+02 508.706 749 AFH 739 739 0 0 40 1 4.3E+02 508.88 750 AFH 740 740 0 0 37 1 5.1E+02 508.888 751 AFH 741 741 0 0 54 1 5.5E+02 509.06 752 AFH 742 742 0 0 54 1 7.5E+02 509.119 753 AFH 743 743 0 0 54 1 5.6E+02 509.124 754 AFH 744 744 0 0 54 1 5.5E+02 509.216 755 AFH 745 745 0 0 54 1 6E+02 509.294 756 AFH 746 746 0 0 54 1 4.2E+02 509.318 757 AFH 747 747 0 0 39 1 5.8E+02 509.427 758 AFH 748 748 0 0 54 1 4.6E+02 509.442 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 AFH 749 749 0 0 54 1 4.3E+02 509.504 760 AFH 750 750 0 0 54 1 5.4E+02 509.525 761 AFH 751 751 0 0 39 1 6.2E+02 509.631 762 AFH 752 752 0 0 54 1 4.6E+02 509.714 763 AFH 753 753 0 0 54 1 4.3E+02 509.72 764 AFH 754 754 0 0 42 1 6.7E+02 509.844 765 AFH 755 755 0 0 40 1 4.6E+02 509.849 766 AFH 756 756 0 0 54 1 6.1E+02 509.915 767 AFH 757 757 0 0 54 1 6.6E+02 509.916 768 AFH 758 758 0 0 54 1 5.6E+02 509.928 769 AFH 759 759 0 0 54 1 6.9E+02 509.968 770 AFH 760 760 0 0 54 1 7.2E+02 510.011 771 AFH 761 761 0 0 54 1 4.2E+02 510.157 772 AFH 762 762 0 0 54 1 6E+02 510.222 773 AFH 763 763 0 0 54 1 6.4E+02 510.531 774 AFH 764 764 0 0 54 1 3.9E+02 510.62 775 AFH 765 765 0 0 36 1 5E+02 510.683 776 AFH 766 766 0 0 54 1 4.8E+02 510.718 777 AFH 767 767 0 0 38 1 4.1E+02 510.796 778 AFH 768 768 0 0 54 1 5.6E+02 510.832 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 AFH 769 769 0 0 54 1 6.2E+02 510.844 780 AFH 770 770 0 0 42 1 5E+02 511.03 781 AFH 771 771 0 0 54 1 4.2E+02 511.144 782 AFH 772 772 0 0 54 1 3.9E+02 511.475 783 AFH 773 773 0 0 54 1 5.2E+02 511.547 784 AFH 774 774 0 0 54 1 5.4E+02 511.559 785 AFH 775 775 0 0 54 1 5.1E+02 511.739 786 AFH 776 776 0 0 41 1 5.1E+02 511.887 787 AFH 777 777 0 0 54 1 5.9E+02 511.921 788 AFH 778 778 0 0 42 1 5.8E+02 512.061 789 AFH 779 779 0 0 54 1 5.9E+02 512.067 790 AFH 780 780 0 0 54 1 6.3E+02 512.168 791 AFH 781 781 0 0 54 1 5.7E+02 512.264 792 AFH 782 782 0 0 54 1 5.9E+02 512.31 793 AFH 783 783 0 0 54 1 3.8E+02 512.503 794 AFH 784 784 0 0 54 1 6.4E+02 512.546 795 AFH 785 785 0 0 54 1 6.6E+02 512.764 796 AFH 786 786 0 0 54 1 6.4E+02 512.818 797 AFH 787 787 0 0 54 1 6.3E+02 512.917 798 AFH 788 788 0 0 54 1 5.3E+02 512.966 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 AFH 789 789 0 0 54 1 4.9E+02 512.99 800 AFH 790 790 0 0 54 1 3.5E+02 513.147 801 AFH 791 791 0 0 54 1 5.6E+02 513.16 802 AFH 792 792 0 0 54 1 3.5E+02 513.191 803 AFH 793 793 0 0 54 1 7.1E+02 513.215 804 AFH 794 794 0 0 54 1 5.2E+02 513.471 805 AFH 795 795 0 0 54 1 6.8E+02 513.61 806 AFH 796 796 0 0 54 1 3.6E+02 514.061 807 AFH 797 797 0 0 34 1 5.8E+02 514.115 808 AFH 798 798 0 0 37 1 3.3E+02 514.147 809 AFH 799 799 0 0 54 1 5.3E+02 514.202 810 AFH 800 800 0 0 54 1 5.6E+02 514.39 811 AFH 801 801 0 0 54 1 3E+02 514.426 812 AFH 802 802 0 0 54 1 6.7E+02 514.43 813 AFH 803 803 0 0 54 1 5.3E+02 514.433 814 AFH 804 804 0 0 54 1 5.1E+02 514.435 815 AFH 805 805 0 0 35 1 5.8E+02 514.444 816 AFH 806 806 0 0 54 1 5.1E+02 514.451 817 AFH 807 807 0 0 54 1 5.1E+02 514.749 818 AFH 808 808 0 0 54 1 4.1E+02 514.787 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 AFH 809 809 0 0 54 1 3.8E+02 514.975 820 AFH 810 810 0 0 54 1 6E+02 515.163 821 AFH 811 811 0 0 54 1 5.7E+02 515.197 822 AFH 812 812 0 0 54 1 5.6E+02 515.313 823 AFH 813 813 0 0 54 1 4.4E+02 515.317 824 AFH 814 814 0 0 54 1 4.8E+02 515.445 825 AFH 815 815 0 0 54 1 5.4E+02 515.567 826 AFH 816 816 0 0 41 1 4.6E+02 515.636 827 AFH 817 817 0 0 54 1 4.2E+02 515.645 828 AFH 818 818 0 0 54 1 5.8E+02 515.798 829 AFH 819 819 0 0 54 1 7.4E+02 515.874 830 AFH 820 820 0 0 54 1 6E+02 515.919 831 AFH 821 821 0 0 41 1 5.5E+02 515.932 832 AFH 822 822 0 0 54 1 5.7E+02 515.95 833 AFH 823 823 0 0 37 1 3.7E+02 515.956 834 AFH 824 824 0 0 54 1 4.9E+02 516.11 835 AFH 825 825 0 0 40 1 5.9E+02 516.147 836 AFH 826 826 0 0 54 1 7.4E+02 516.16 837 AFH 827 827 0 0 54 1 6.6E+02 516.257 838 AFH 828 828 0 0 54 1 5.8E+02 516.443 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 AFH 829 829 0 0 54 1 6.3E+02 516.793 840 AFH 830 830 0 0 54 1 6.6E+02 517.152 841 AFH 831 831 0 0 54 1 5.5E+02 517.173 842 AFH 832 832 0 0 54 1 6.7E+02 517.226 843 AFH 833 833 0 0 54 1 6.2E+02 517.303 844 AFH 834 834 0 0 54 1 6.7E+02 517.452 845 AFH 835 835 0 0 54 1 7.8E+02 517.511 846 AFH 836 836 0 0 54 1 3.7E+02 517.616 847 AFH 837 837 0 0 54 1 4.8E+02 517.713 848 AFH 838 838 0 0 54 1 4.3E+02 517.753 849 AFH 839 839 0 0 54 1 6.8E+02 517.768 850 AFH 840 840 0 0 54 1 6E+02 517.788 851 AFH 841 841 0 0 36 1 6.9E+02 517.835 852 AFH 842 842 0 0 54 1 6.7E+02 517.887 853 AFH 843 843 0 0 54 1 3.4E+02 517.905 854 AFH 844 844 0 0 54 1 6.7E+02 518.139 855 AFH 845 845 0 0 54 1 7E+02 518.147 856 AFH 846 846 0 0 54 1 5.7E+02 518.213 857 AFH 847 847 0 0 38 1 5.1E+02 518.221 858 AFH 848 848 0 0 54 1 3.1E+02 518.255 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 AFH 849 849 0 0 30 1 3.7E+02 518.297 860 AFH 850 850 0 0 54 1 6E+02 518.357 861 AFH 851 851 0 0 54 1 5.1E+02 518.408 862 AFH 852 852 0 0 54 1 5.5E+02 518.466 863 AFH 853 853 0 0 37 1 5.8E+02 518.597 864 AFH 854 854 0 0 54 1 5.9E+02 518.701 865 AFH 855 855 0 0 54 1 5.4E+02 518.764 866 AFH 856 856 0 0 54 1 5.7E+02 518.835 867 AFH 857 857 0 0 54 1 4.8E+02 518.835 868 AFH 858 858 0 0 54 1 4.5E+02 518.911 869 AFH 859 859 0 0 54 1 5.1E+02 518.96 870 AFH 860 860 0 0 54 1 5.1E+02 519.036 871 AFH 861 861 0 0 54 1 6.6E+02 519.175 872 AFH 862 862 0 0 54 1 6.2E+02 519.195 873 AFH 863 863 0 0 54 1 6.5E+02 519.206 874 AFH 864 864 0 0 54 1 5.8E+02 519.449 875 AFH 865 865 0 0 54 1 7.1E+02 519.536 876 AFH 866 866 0 0 54 1 6.2E+02 519.558 877 AFH 867 867 0 0 40 1 5E+02 519.65 878 AFH 868 868 0 0 34 1 3.1E+02 519.684 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 AFH 869 869 0 0 54 1 6.3E+02 519.717 880 AFH 870 870 0 0 43 1 6.9E+02 519.875 881 AFH 871 871 0 0 54 1 4.8E+02 519.958 882 AFH 872 872 0 0 54 1 5.4E+02 519.997 883 AFH 873 873 0 0 54 1 6.2E+02 519.998 884 AFH 874 874 0 0 54 1 7.8E+02 520.039 885 AFH 875 875 0 0 54 1 2.8E+02 520.086 886 AFH 876 876 0 0 35 1 4.4E+02 520.118 887 AFH 877 877 0 0 25 1 4.7E+02 520.407 888 AFH 878 878 0 0 54 1 5.5E+02 520.461 889 AFH 879 879 0 0 54 1 4.9E+02 520.511 890 AFH 880 880 0 0 54 1 4.4E+02 520.517 891 AFH 881 881 0 0 54 1 6.5E+02 520.656 892 AFH 882 882 0 0 54 1 4.9E+02 520.68 893 AFH 883 883 0 0 37 1 6.4E+02 520.74 894 AFH 884 884 0 0 54 1 4.4E+02 520.758 895 AFH 885 885 0 0 39 1 6.2E+02 521.011 896 AFH 886 886 0 0 54 1 4.5E+02 521.049 897 AFH 887 887 0 0 54 1 4.9E+02 521.067 898 AFH 888 888 0 0 54 1 4E+02 521.094 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 AFH 889 889 0 0 44 1 5.4E+02 521.216 900 AFH 890 890 0 0 54 1 5.6E+02 521.217 901 AFH 891 891 0 0 54 1 4.9E+02 521.494 902 AFH 892 892 0 0 54 1 4.1E+02 521.599 903 AFH 893 893 0 0 54 1 4.5E+02 521.61 904 AFH 894 894 0 0 54 1 5.8E+02 521.822 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.97_uflquad-25-25._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 673.69688812243975917 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 673.69688812243975917 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 905 Iteration limit : -1 Function evaluations : 929 Gradient evaluations : 896 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 891/905 NLP solver calls : 904 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-25-25.gms(1790) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-25-25.gms Stop 09/14/12 16:40:43 elapsed 2:00:02.218 @04 1347633643 ----------------------------- Fr 14. Sep 16:40:43 CEST 2012 ----------------------------- =ready= Linux opt202 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-25-30.gms =========== ----------------------------- Fr 14. Sep 14:41:00 CEST 2012 ----------------------------- @03 1347626460 --- Job uflquad-25-30.gms Start 09/14/12 14:41:00 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-25-30.gms(2139) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- uflquad-25-30.gms(2137) 3 Mb --- Generating MIQCP model m --- uflquad-25-30.gms(2139) 6 Mb --- 781 rows 776 columns 3,026 non-zeroes --- 3,002 nl-code 750 nl-non-zeroes --- 25 discrete-columns --- uflquad-25-30.gms(2139) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.020 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.98_uflquad-25-30._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3026 elements of which 25% are non-linear(NL) included in 781 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 750 from a total of 776 variables: Continuous(751), Binary(25), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=154 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 2.3E+02 NA 1 SAFG 1 1 0 1 1.1E+02 0 0 759.366 1 FOUND SOLUTION: 759.366 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 6.6E+02 95.0592 3 SAFH 2 2 0 1 62 1 7.1E+02 106.736 4 SAFJL 3 3 0 1 0 0 1.1E-13 819.532 5 SAFH 2 2 0 0.5 62 1 1.2E+03 -351.366 6 SAFH 3 3 0 0.5 62 1 1.2E+03 -331.366 7 SAFH 4 4 0 0.5 62 1 1.3E+03 -310.366 8 SAFH 5 5 0 0.5 62 1 1.4E+03 -303.366 9 SAFH 6 6 0 0.5 62 1 1.2E+03 -300.366 10 SAFH 7 7 0 0.5 62 1 1.1E+03 -290.366 11 SAFH 8 8 0 0.5 62 1 1.2E+03 -290.366 12 SAFH 9 9 0 0.5 62 1 1.3E+03 -289.366 13 SAFH 10 10 0 0.5 62 1 1.7E+03 -283.366 14 SAFH 11 11 0 0.5 62 1 1.4E+03 -237.366 15 SAFJ 12 12 0 0.5 62 0 0 1416.42 16 SAFJ 12 12 0 0.3 0 0 0 1416.42 17 SAFJ 12 12 0 0.2 0 0 0 1416.42 18 SAFJ 12 12 0 0.1 0 0 0 1416.42 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 12 12 0 0 62 1 1.4E+03 -237.366 20 AFH 13 13 0 0 62 1 1.2E+03 -222.366 21 AFH 14 14 0 0 62 1 1.2E+03 -208.366 22 AFH 15 15 0 0 62 1 1.3E+03 -203.366 23 AFH 16 16 0 0 62 1 1.5E+03 -203.366 24 AFH 17 17 0 0 62 1 1.6E+03 -195.366 25 AFH 18 18 0 0 62 1 1.3E+03 -194.366 26 AFH 19 19 0 0 62 1 1.4E+03 -184.366 27 AFH 20 20 0 0 62 1 1.2E+03 -169.366 28 AFH 21 21 0 0 62 1 1.3E+03 -165.366 29 AFH 22 22 0 0 62 1 1.6E+03 -165.366 30 AFH 23 23 0 0 62 1 1.1E+03 -163.366 31 AFH 24 24 0 0 62 1 1.5E+03 -159.366 32 AFH 25 25 0 0 63 1 7.1E+02 230.504 33 AFH 26 26 0 0 40 1 8.9E+02 245.451 34 AFH 27 27 0 0 64 1 7.2E+02 245.858 35 AFH 28 28 0 0 64 1 6.7E+02 248.545 36 AFG 29 29 0 0 64 0 0 744.802 36 FOUND SOLUTION: 744.802 (NLP) in 10 sec. 37 AFH 29 29 0 0 20 1 6.7E+02 260.796 38 AFG 30 30 0 0 44 0 0 696.501 38 FOUND SOLUTION: 696.501 (NLP) in 12 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 30 30 0 0 21 1 6.1E+02 264.676 40 AFH 31 31 0 0 41 1 5.9E+02 266.827 41 AFG 32 32 0 0 43 0 0 669.84 41 FOUND SOLUTION: 669.84 (NLP) in 17 sec. 42 AFH 32 32 0 0 22 1 5.7E+02 284.676 43 AFH 33 33 0 0 46 1 5.9E+02 286.57 44 AFH 34 34 0 0 40 1 7.2E+02 293.729 45 AFH 35 35 0 0 37 1 6.1E+02 303.265 46 AFH 36 36 0 0 64 1 6.7E+02 305.226 47 AFH 37 37 0 0 41 1 6.2E+02 312.2 48 AFH 38 38 0 0 64 1 6.2E+02 315.479 49 AFH 39 39 0 0 43 1 6.2E+02 319.243 50 AFH 40 40 0 0 47 1 5.7E+02 319.785 51 AFH 41 41 0 0 40 1 8.3E+02 326.14 52 AFH 42 42 0 0 39 1 5.9E+02 335.338 53 AFH 43 43 0 0 64 1 6.8E+02 335.661 54 AFH 44 44 0 0 50 1 5.7E+02 336.603 55 AFH 45 45 0 0 43 1 6E+02 336.841 56 AFH 46 46 0 0 64 1 6.8E+02 337.111 57 AFH 47 47 0 0 64 1 6.3E+02 338.229 58 AFH 48 48 0 0 64 1 6.4E+02 339.538 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 49 49 0 0 64 1 6E+02 342.981 60 AFH 50 50 0 0 64 1 7E+02 343.52 61 AFH 51 51 0 0 42 1 6.7E+02 343.671 62 AFH 52 52 0 0 45 1 5.8E+02 344.751 63 AFH 53 53 0 0 64 1 6.5E+02 346.488 64 AFH 54 54 0 0 41 1 6.9E+02 346.576 65 AFH 55 55 0 0 64 1 6.1E+02 346.841 66 AFH 56 56 0 0 64 1 6.3E+02 348.681 67 AFH 57 57 0 0 43 1 7E+02 349.551 68 AFH 58 58 0 0 42 1 6.2E+02 350.727 69 AFH 59 59 0 0 46 1 6.1E+02 350.75 70 AFH 60 60 0 0 64 1 6.8E+02 352.114 71 AFH 61 61 0 0 64 1 6.3E+02 355.683 72 AFH 62 62 0 0 64 1 6.4E+02 356.676 73 AFH 63 63 0 0 64 1 8.3E+02 358.369 74 AFH 64 64 0 0 64 1 6.4E+02 361.987 75 AFH 65 65 0 0 64 1 5.9E+02 362.921 76 AFH 66 66 0 0 64 1 5.9E+02 363.376 77 AFH 67 67 0 0 45 1 5.9E+02 363.575 78 AFH 68 68 0 0 45 1 6.8E+02 363.815 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 69 69 0 0 64 1 7.2E+02 365.414 80 AFH 70 70 0 0 64 1 6.1E+02 365.422 81 AFH 71 71 0 0 64 1 6.8E+02 366.171 82 AFH 72 72 0 0 64 1 8.1E+02 366.376 83 AFH 73 73 0 0 64 1 6.5E+02 366.754 84 AFH 74 74 0 0 64 1 7.2E+02 367.022 85 AFH 75 75 0 0 64 1 7.2E+02 369.11 86 AFH 76 76 0 0 46 1 6.6E+02 371.547 87 AFH 77 77 0 0 64 1 5.9E+02 372.599 88 AFH 78 78 0 0 45 1 8.6E+02 374.513 89 AFH 79 79 0 0 64 1 6.2E+02 374.634 90 AFH 80 80 0 0 64 1 6.9E+02 374.809 91 AFH 81 81 0 0 46 1 6.6E+02 376.751 92 AFH 82 82 0 0 43 1 9.2E+02 376.819 93 AFH 83 83 0 0 64 1 5.7E+02 377.058 94 AFH 84 84 0 0 47 1 6.6E+02 377.098 95 AFH 85 85 0 0 41 1 6.1E+02 377.345 96 AFH 86 86 0 0 64 1 9.1E+02 380.7 97 AFH 87 87 0 0 64 1 8.1E+02 380.705 98 AFH 88 88 0 0 64 1 7.4E+02 383.428 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 89 89 0 0 64 1 6.7E+02 383.832 100 AFH 90 90 0 0 64 1 5.6E+02 383.921 101 AFH 91 91 0 0 64 1 6.4E+02 384.214 102 AFH 92 92 0 0 47 1 5.9E+02 384.555 103 AFH 93 93 0 0 64 1 7.9E+02 385.116 104 AFH 94 94 0 0 48 1 5.8E+02 385.855 105 AFH 95 95 0 0 64 1 8E+02 386.28 106 AFH 96 96 0 0 64 1 6E+02 387.817 107 AFH 97 97 0 0 64 1 6.4E+02 388.152 108 AFH 98 98 0 0 64 1 7E+02 388.614 109 AFH 99 99 0 0 64 1 7E+02 388.827 110 AFH 100 100 0 0 64 1 6.3E+02 389.122 111 AFH 101 101 0 0 64 1 7.9E+02 389.187 112 AFH 102 102 0 0 48 1 5.9E+02 390.238 113 AFH 103 103 0 0 46 1 6.2E+02 390.941 114 AFH 104 104 0 0 45 1 5.5E+02 390.977 115 AFH 105 105 0 0 49 1 5.8E+02 391.579 116 AFH 106 106 0 0 45 1 6.1E+02 392.389 117 AFH 107 107 0 0 42 1 6.6E+02 392.497 118 AFH 108 108 0 0 43 1 6.2E+02 392.642 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 109 109 0 0 64 1 7.1E+02 392.904 120 AFH 110 110 0 0 45 1 7E+02 394.515 121 AFH 111 111 0 0 64 1 6.3E+02 395.37 122 AFH 112 112 0 0 64 1 6.7E+02 395.455 123 AFH 113 113 0 0 64 1 5.6E+02 395.861 124 AFH 114 114 0 0 64 1 7.1E+02 396.301 125 AFH 115 115 0 0 42 1 6.5E+02 396.445 126 AFH 116 116 0 0 64 1 5.6E+02 396.664 127 AFH 117 117 0 0 48 1 5.3E+02 397.396 128 AFH 118 118 0 0 48 1 5.5E+02 397.669 129 AFH 119 119 0 0 64 1 6.6E+02 397.844 130 AFH 120 120 0 0 64 1 6E+02 398.505 131 AFH 121 121 0 0 64 1 5.9E+02 398.532 132 AFH 122 122 0 0 64 1 5.8E+02 398.688 133 AFH 123 123 0 0 41 1 5.9E+02 399.049 134 AFH 124 124 0 0 64 1 7.9E+02 400.041 135 AFH 125 125 0 0 64 1 7.1E+02 400.18 136 AFH 126 126 0 0 41 1 6.8E+02 401.343 137 AFH 127 127 0 0 64 1 5.7E+02 401.619 138 AFH 128 128 0 0 64 1 9.3E+02 401.841 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 129 129 0 0 64 1 6.4E+02 402.531 140 AFH 130 130 0 0 64 1 6.4E+02 402.535 141 AFH 131 131 0 0 47 1 5.9E+02 402.635 142 AFH 132 132 0 0 43 1 5.9E+02 403.487 143 AFH 133 133 0 0 44 1 6.6E+02 403.731 144 AFH 134 134 0 0 64 1 5.2E+02 404.051 145 AFH 135 135 0 0 45 1 6.7E+02 404.291 146 AFH 136 136 0 0 64 1 7E+02 404.424 147 AFH 137 137 0 0 64 1 8.6E+02 405.271 148 AFH 138 138 0 0 46 1 6E+02 405.312 149 AFH 139 139 0 0 64 1 7E+02 405.466 150 AFH 140 140 0 0 64 1 7.2E+02 405.554 151 AFH 141 141 0 0 50 1 5.4E+02 405.853 152 AFH 142 142 0 0 48 1 7.1E+02 406.053 153 AFH 143 143 0 0 64 1 6.4E+02 406.47 154 AFH 144 144 0 0 43 1 6.7E+02 407.949 155 AFH 145 145 0 0 64 1 6.9E+02 408.018 156 AFH 146 146 0 0 64 1 6.8E+02 409.114 157 AFH 147 147 0 0 46 1 5.2E+02 409.349 158 AFH 148 148 0 0 46 1 5.8E+02 409.684 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 149 149 0 0 47 1 6.8E+02 409.85 160 AFH 150 150 0 0 41 1 5.7E+02 410.259 161 AFH 151 151 0 0 64 1 8.8E+02 410.461 162 AFH 152 152 0 0 64 1 6.1E+02 411.079 163 AFH 153 153 0 0 46 1 5.4E+02 411.774 164 AFH 154 154 0 0 49 1 5.6E+02 411.902 165 AFH 155 155 0 0 64 1 6.9E+02 412.561 166 AFH 156 156 0 0 64 1 5.7E+02 412.755 167 AFH 157 157 0 0 64 1 8.3E+02 412.945 168 AFH 158 158 0 0 42 1 5E+02 413.891 169 AFH 159 159 0 0 54 1 6.5E+02 413.93 170 AFH 160 160 0 0 64 1 7E+02 414.132 171 AFH 161 161 0 0 64 1 7.9E+02 414.274 172 AFH 162 162 0 0 64 1 5.8E+02 414.574 173 AFH 163 163 0 0 64 1 6.1E+02 414.613 174 AFH 164 164 0 0 64 1 6E+02 415.017 175 AFH 165 165 0 0 46 1 6.5E+02 416.032 176 AFH 166 166 0 0 48 1 5.3E+02 416.108 177 AFH 167 167 0 0 51 1 6.4E+02 416.21 178 AFH 168 168 0 0 64 1 6.6E+02 416.308 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 169 169 0 0 64 1 7.2E+02 416.517 180 AFH 170 170 0 0 64 1 6.7E+02 416.87 181 AFH 171 171 0 0 64 1 6.5E+02 416.983 182 AFH 172 172 0 0 64 1 7E+02 417.179 183 AFH 173 173 0 0 48 1 6.6E+02 417.393 184 AFH 174 174 0 0 48 1 5E+02 418.698 185 AFH 175 175 0 0 64 1 6.7E+02 418.883 186 AFH 176 176 0 0 64 1 5.1E+02 419.026 187 AFH 177 177 0 0 48 1 5.5E+02 419.428 188 AFH 178 178 0 0 64 1 6.2E+02 419.764 189 AFH 179 179 0 0 64 1 8.1E+02 420.081 190 AFH 180 180 0 0 64 1 5.8E+02 420.573 191 AFH 181 181 0 0 51 1 5.3E+02 420.703 192 AFH 182 182 0 0 64 1 8.2E+02 421.323 193 AFH 183 183 0 0 64 1 6.9E+02 421.545 194 AFH 184 184 0 0 64 1 6.3E+02 422.104 195 AFH 185 185 0 0 64 1 6.1E+02 422.145 196 AFH 186 186 0 0 47 1 5.3E+02 422.505 197 AFH 187 187 0 0 46 1 5.5E+02 422.604 198 AFH 188 188 0 0 64 1 6.9E+02 422.73 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 189 189 0 0 64 1 4.8E+02 422.741 200 AFH 190 190 0 0 46 1 5.5E+02 423.24 201 AFH 191 191 0 0 50 1 6.4E+02 423.288 202 AFH 192 192 0 0 64 1 7.8E+02 423.548 203 AFH 193 193 0 0 64 1 7.8E+02 423.692 204 AFH 194 194 0 0 64 1 7.1E+02 423.996 205 AFH 195 195 0 0 64 1 6.2E+02 424.021 206 AFH 196 196 0 0 64 1 6E+02 424.142 207 AFH 197 197 0 0 64 1 5.9E+02 425.04 208 AFH 198 198 0 0 64 1 7.3E+02 425.497 209 AFH 199 199 0 0 64 1 7.4E+02 425.565 210 AFH 200 200 0 0 45 1 5.3E+02 425.948 211 AFH 201 201 0 0 29 1 5.3E+02 426.739 212 AFH 202 202 0 0 64 1 6.7E+02 426.826 213 AFH 203 203 0 0 64 1 4.5E+02 426.946 214 AFH 204 204 0 0 47 1 5.1E+02 427.261 215 AFH 205 205 0 0 64 1 6.8E+02 427.356 216 AFH 206 206 0 0 64 1 6.9E+02 427.448 217 AFH 207 207 0 0 64 1 5.9E+02 427.466 218 AFH 208 208 0 0 44 1 8.6E+02 427.71 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 209 209 0 0 44 1 6.1E+02 427.862 220 AFH 210 210 0 0 47 1 6.2E+02 427.884 221 AFH 211 211 0 0 64 1 6.8E+02 428.202 222 AFH 212 212 0 0 45 1 6.9E+02 428.423 223 AFH 213 213 0 0 46 1 5.4E+02 428.807 224 AFH 214 214 0 0 64 1 8.5E+02 429.341 225 AFH 215 215 0 0 64 1 4.1E+02 430.021 226 AFH 216 216 0 0 64 1 6.4E+02 430.035 227 AFH 217 217 0 0 50 1 5.9E+02 430.09 228 AFH 218 218 0 0 64 1 7.6E+02 430.862 229 AFH 219 219 0 0 64 1 8.7E+02 431.097 230 AFH 220 220 0 0 64 1 5.1E+02 431.501 231 AFH 221 221 0 0 48 1 5.6E+02 431.558 232 AFH 222 222 0 0 49 1 5.3E+02 431.732 233 AFH 223 223 0 0 52 1 6.5E+02 431.832 234 AFH 224 224 0 0 48 1 4.1E+02 431.915 235 AFH 225 225 0 0 48 1 6.7E+02 432.177 236 AFH 226 226 0 0 47 1 6.2E+02 432.224 237 AFH 227 227 0 0 64 1 6.1E+02 432.329 238 AFH 228 228 0 0 64 1 6.9E+02 432.555 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 229 229 0 0 64 1 3.9E+02 432.74 240 AFH 230 230 0 0 49 1 5.7E+02 433.374 241 AFH 231 231 0 0 64 1 7.7E+02 433.854 242 AFH 232 232 0 0 64 1 7E+02 434.268 243 AFH 233 233 0 0 64 1 7.3E+02 434.312 244 AFH 234 234 0 0 64 1 4.6E+02 434.413 245 AFH 235 235 0 0 64 1 6.6E+02 434.8 246 AFH 236 236 0 0 47 1 5.7E+02 436.629 247 AFH 237 237 0 0 50 1 6.1E+02 437.072 248 AFH 238 238 0 0 47 1 5.1E+02 437.095 249 AFH 239 239 0 0 64 1 5.1E+02 437.246 250 AFH 240 240 0 0 64 1 7.2E+02 437.993 251 AFH 241 241 0 0 64 1 6.7E+02 438.039 252 AFH 242 242 0 0 64 1 4.5E+02 438.236 253 AFH 243 243 0 0 64 1 7.1E+02 438.456 254 AFH 244 244 0 0 64 1 4.3E+02 438.595 255 AFH 245 245 0 0 46 1 6.1E+02 438.667 256 AFH 246 246 0 0 64 1 6.1E+02 438.784 257 AFH 247 247 0 0 64 1 7.5E+02 438.942 258 AFH 248 248 0 0 64 1 6.1E+02 438.952 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 249 249 0 0 44 1 6.4E+02 439.107 260 AFH 250 250 0 0 49 1 5.7E+02 439.262 261 AFH 251 251 0 0 51 1 6.4E+02 439.264 262 AFH 252 252 0 0 50 1 6.7E+02 439.479 263 AFH 253 253 0 0 64 1 6.7E+02 439.781 264 AFH 254 254 0 0 64 1 7.5E+02 439.861 265 AFH 255 255 0 0 64 1 4.8E+02 439.943 266 AFH 256 256 0 0 64 1 7.8E+02 440.515 267 AFH 257 257 0 0 64 1 4.5E+02 440.778 268 AFH 258 258 0 0 48 1 5.7E+02 441.493 269 AFH 259 259 0 0 47 1 5.6E+02 441.895 270 AFH 260 260 0 0 64 1 8.1E+02 441.903 271 AFH 261 261 0 0 44 1 6.3E+02 442.386 272 AFH 262 262 0 0 64 1 4.4E+02 442.438 273 AFH 263 263 0 0 64 1 7.2E+02 442.592 274 AFH 264 264 0 0 50 1 6.7E+02 443.109 275 AFH 265 265 0 0 43 1 8.3E+02 443.184 276 AFH 266 266 0 0 64 1 5.9E+02 443.688 277 AFH 267 267 0 0 44 1 6.2E+02 443.797 278 AFH 268 268 0 0 64 1 6.8E+02 443.862 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 269 269 0 0 64 1 6.7E+02 444.126 280 AFH 270 270 0 0 64 1 6.1E+02 444.468 281 AFH 271 271 0 0 45 1 4.5E+02 444.621 282 AFH 272 272 0 0 52 1 5.8E+02 444.709 283 AFH 273 273 0 0 64 1 7.2E+02 444.749 284 AFH 274 274 0 0 64 1 4.4E+02 444.821 285 AFH 275 275 0 0 64 1 7.7E+02 445.078 286 AFH 276 276 0 0 64 1 8.5E+02 445.314 287 AFH 277 277 0 0 43 1 5.5E+02 445.474 288 AFH 278 278 0 0 64 1 6.1E+02 445.505 289 AFH 279 279 0 0 64 1 5.7E+02 445.813 290 AFH 280 280 0 0 64 1 6.5E+02 445.868 291 AFH 281 281 0 0 43 1 4.1E+02 445.889 292 AFH 282 282 0 0 47 1 6E+02 445.987 293 AFH 283 283 0 0 64 1 6.5E+02 446.144 294 AFH 284 284 0 0 45 1 6.3E+02 446.275 295 AFH 285 285 0 0 64 1 7.1E+02 446.309 296 AFH 286 286 0 0 48 1 5.7E+02 446.406 297 AFH 287 287 0 0 64 1 6.6E+02 446.709 298 AFH 288 288 0 0 45 1 7E+02 446.762 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 289 289 0 0 64 1 4.3E+02 447.428 300 AFH 290 290 0 0 64 1 5.6E+02 447.647 301 AFH 291 291 0 0 45 1 6.5E+02 447.773 302 AFH 292 292 0 0 64 1 5.2E+02 447.837 303 AFH 293 293 0 0 43 1 4.9E+02 447.921 304 AFH 294 294 0 0 64 1 6.3E+02 448.129 305 AFH 295 295 0 0 64 1 6.9E+02 448.254 306 AFH 296 296 0 0 64 1 6.9E+02 448.54 307 AFH 297 297 0 0 64 1 6E+02 448.807 308 AFH 298 298 0 0 64 1 5.4E+02 449.007 309 AFH 299 299 0 0 64 1 6.5E+02 449.235 310 AFH 300 300 0 0 45 1 6E+02 449.364 311 AFH 301 301 0 0 47 1 6.2E+02 449.653 312 AFH 302 302 0 0 64 1 7.2E+02 449.755 313 AFH 303 303 0 0 64 1 6.9E+02 449.797 314 AFH 304 304 0 0 64 1 6E+02 449.901 315 AFH 305 305 0 0 64 1 6.7E+02 450.136 316 AFH 306 306 0 0 64 1 6.7E+02 450.341 317 AFH 307 307 0 0 64 1 6.8E+02 450.359 318 AFH 308 308 0 0 64 1 7.5E+02 450.508 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 309 309 0 0 64 1 5.8E+02 450.728 320 AFH 310 310 0 0 45 1 6.1E+02 450.853 321 AFH 311 311 0 0 45 1 6.3E+02 450.917 322 AFH 312 312 0 0 64 1 8.2E+02 450.992 323 AFH 313 313 0 0 64 1 4.1E+02 451.103 324 AFH 314 314 0 0 64 1 6.8E+02 451.217 325 AFH 315 315 0 0 46 1 7.4E+02 451.221 326 AFH 316 316 0 0 64 1 4.6E+02 451.278 327 AFH 317 317 0 0 64 1 6E+02 451.465 328 AFH 318 318 0 0 64 1 6.5E+02 451.84 329 AFH 319 319 0 0 64 1 6.3E+02 452.196 330 AFH 320 320 0 0 64 1 5E+02 452.199 331 AFH 321 321 0 0 64 1 6.4E+02 452.27 332 AFH 322 322 0 0 64 1 5.7E+02 452.931 333 AFH 323 323 0 0 64 1 6.4E+02 453.112 334 AFH 324 324 0 0 64 1 8.5E+02 453.478 335 AFH 325 325 0 0 46 1 8.4E+02 453.521 336 AFH 326 326 0 0 64 1 6.8E+02 453.846 337 AFH 327 327 0 0 64 1 6.7E+02 454.031 338 AFH 328 328 0 0 64 1 5.9E+02 454.726 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 AFH 329 329 0 0 48 1 6.2E+02 454.757 340 AFH 330 330 0 0 64 1 8.3E+02 454.856 341 AFH 331 331 0 0 47 1 9.3E+02 455.304 342 AFH 332 332 0 0 64 1 4.9E+02 455.354 343 AFH 333 333 0 0 47 1 6.1E+02 455.502 344 AFH 334 334 0 0 45 1 8.4E+02 455.9 345 AFH 335 335 0 0 64 1 5.3E+02 456.015 346 AFH 336 336 0 0 64 1 3.7E+02 456.051 347 AFH 337 337 0 0 64 1 8.8E+02 456.066 348 AFH 338 338 0 0 64 1 5.4E+02 456.107 349 AFH 339 339 0 0 42 1 5.8E+02 456.176 350 AFH 340 340 0 0 64 1 8E+02 456.345 351 AFH 341 341 0 0 64 1 5.8E+02 456.357 352 AFH 342 342 0 0 64 1 6.6E+02 456.38 353 AFH 343 343 0 0 64 1 6.7E+02 456.56 354 AFH 344 344 0 0 64 1 6.2E+02 456.635 355 AFH 345 345 0 0 64 1 6.5E+02 456.675 356 AFH 346 346 0 0 42 1 5.9E+02 456.714 357 AFH 347 347 0 0 64 1 6.4E+02 456.75 358 AFH 348 348 0 0 64 1 6.8E+02 456.855 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 AFH 349 349 0 0 64 1 4.7E+02 457.103 360 AFH 350 350 0 0 46 1 7.9E+02 457.269 361 AFH 351 351 0 0 64 1 6.5E+02 457.273 362 AFH 352 352 0 0 49 1 6E+02 457.566 363 AFH 353 353 0 0 64 1 8.7E+02 457.738 364 AFH 354 354 0 0 64 1 4.6E+02 457.792 365 AFH 355 355 0 0 64 1 7.2E+02 458.455 366 AFH 356 356 0 0 46 1 6.4E+02 458.524 367 AFH 357 357 0 0 64 1 4.4E+02 458.542 368 AFH 358 358 0 0 46 1 5.9E+02 458.638 369 AFH 359 359 0 0 64 1 4.1E+02 458.709 370 AFH 360 360 0 0 64 1 6.7E+02 458.79 371 AFH 361 361 0 0 64 1 6.4E+02 458.983 372 AFH 362 362 0 0 64 1 6.8E+02 459.106 373 AFH 363 363 0 0 48 1 4.1E+02 459.141 374 AFH 364 364 0 0 64 1 6.2E+02 459.49 375 AFH 365 365 0 0 64 1 6.2E+02 459.553 376 AFH 366 366 0 0 64 1 5.5E+02 459.575 377 AFH 367 367 0 0 64 1 6.5E+02 460.066 378 AFH 368 368 0 0 64 1 6.5E+02 460.247 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 AFH 369 369 0 0 46 1 6.3E+02 460.309 380 AFH 370 370 0 0 64 1 8.1E+02 460.375 381 AFH 371 371 0 0 64 1 5.7E+02 460.545 382 AFH 372 372 0 0 64 1 7.9E+02 460.648 383 AFH 373 373 0 0 64 1 7.5E+02 460.711 384 AFH 374 374 0 0 48 1 6.8E+02 460.735 385 AFH 375 375 0 0 47 1 5.7E+02 460.819 386 AFH 376 376 0 0 41 1 4E+02 460.85 387 AFH 377 377 0 0 43 1 4.1E+02 460.985 388 AFH 378 378 0 0 48 1 4E+02 461.183 389 AFH 379 379 0 0 64 1 6.3E+02 461.218 390 AFH 380 380 0 0 64 1 7.7E+02 461.317 391 AFH 381 381 0 0 64 1 7.2E+02 461.561 392 AFH 382 382 0 0 64 1 4.9E+02 461.682 393 AFH 383 383 0 0 64 1 8E+02 461.845 394 AFH 384 384 0 0 64 1 5.8E+02 462.159 395 AFH 385 385 0 0 64 1 6.4E+02 462.168 396 AFH 386 386 0 0 64 1 6.7E+02 462.206 397 AFH 387 387 0 0 41 1 6.3E+02 462.878 398 AFH 388 388 0 0 64 1 6.6E+02 463.024 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 AFH 389 389 0 0 64 1 8.1E+02 463.064 400 AFH 390 390 0 0 64 1 5.3E+02 463.355 401 AFH 391 391 0 0 64 1 7.9E+02 463.434 402 AFH 392 392 0 0 64 1 7E+02 463.506 403 AFH 393 393 0 0 64 1 6.3E+02 463.728 404 AFH 394 394 0 0 64 1 5.9E+02 463.836 405 AFH 395 395 0 0 50 1 7E+02 463.994 406 AFH 396 396 0 0 64 1 6.2E+02 464.057 407 AFH 397 397 0 0 47 1 7E+02 464.098 408 AFH 398 398 0 0 64 1 5.9E+02 464.235 409 AFH 399 399 0 0 64 1 6.1E+02 464.282 410 AFH 400 400 0 0 64 1 6.1E+02 464.294 411 AFH 401 401 0 0 45 1 6E+02 464.537 412 AFH 402 402 0 0 64 1 7E+02 464.692 413 AFH 403 403 0 0 64 1 6.5E+02 464.752 414 AFH 404 404 0 0 64 1 6.5E+02 464.762 415 AFH 405 405 0 0 64 1 8E+02 465.079 416 AFH 406 406 0 0 64 1 6.3E+02 465.126 417 AFH 407 407 0 0 64 1 4.7E+02 465.194 418 AFH 408 408 0 0 45 1 6.8E+02 465.558 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 AFH 409 409 0 0 42 1 6.1E+02 465.641 420 AFH 410 410 0 0 64 1 7.2E+02 465.719 421 AFH 411 411 0 0 64 1 6.3E+02 465.734 422 AFH 412 412 0 0 52 1 5.5E+02 466.097 423 AFH 413 413 0 0 64 1 7E+02 466.128 424 AFH 414 414 0 0 46 1 6.9E+02 466.164 425 AFH 415 415 0 0 64 1 6.7E+02 466.237 426 AFH 416 416 0 0 64 1 6.2E+02 466.246 427 AFH 417 417 0 0 64 1 7E+02 466.273 428 AFH 418 418 0 0 54 1 5.7E+02 466.412 429 AFH 419 419 0 0 45 1 5.2E+02 466.426 430 AFH 420 420 0 0 64 1 5.8E+02 466.635 431 AFH 421 421 0 0 64 1 6.1E+02 466.75 432 AFH 422 422 0 0 64 1 5.6E+02 466.771 433 AFH 423 423 0 0 64 1 6.9E+02 467.087 434 AFH 424 424 0 0 64 1 5.9E+02 467.212 435 AFH 425 425 0 0 44 1 8E+02 467.479 436 AFH 426 426 0 0 64 1 6.5E+02 467.487 437 AFH 427 427 0 0 64 1 5.3E+02 467.628 438 AFH 428 428 0 0 46 1 4.6E+02 467.761 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 AFH 429 429 0 0 64 1 5.4E+02 467.854 440 AFH 430 430 0 0 64 1 7.2E+02 467.868 441 AFH 431 431 0 0 64 1 4.5E+02 468.111 442 AFH 432 432 0 0 45 1 5.6E+02 468.147 443 AFH 433 433 0 0 64 1 6.5E+02 468.181 444 AFH 434 434 0 0 47 1 5.8E+02 468.203 445 AFH 435 435 0 0 64 1 6.5E+02 468.281 446 AFH 436 436 0 0 47 1 6.1E+02 468.935 447 AFH 437 437 0 0 64 1 8.1E+02 469.016 448 AFH 438 438 0 0 45 1 8.2E+02 469.029 449 AFH 439 439 0 0 64 1 6.1E+02 469.117 450 AFH 440 440 0 0 64 1 5.7E+02 469.13 451 AFH 441 441 0 0 64 1 5.1E+02 469.339 452 AFH 442 442 0 0 64 1 5.1E+02 469.347 453 AFH 443 443 0 0 47 1 5.8E+02 469.394 454 AFH 444 444 0 0 64 1 7.4E+02 469.595 455 AFH 445 445 0 0 64 1 5.7E+02 469.608 456 AFH 446 446 0 0 64 1 5.8E+02 469.706 457 AFH 447 447 0 0 64 1 6E+02 469.771 458 AFH 448 448 0 0 64 1 6.6E+02 469.805 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 AFH 449 449 0 0 64 1 8.6E+02 469.95 460 AFH 450 450 0 0 64 1 3.6E+02 470.077 461 AFH 451 451 0 0 64 1 6.5E+02 470.133 462 AFH 452 452 0 0 64 1 7.9E+02 470.23 463 AFH 453 453 0 0 64 1 7.3E+02 470.298 464 AFH 454 454 0 0 64 1 6.7E+02 470.493 465 AFH 455 455 0 0 64 1 4.7E+02 470.511 466 AFH 456 456 0 0 64 1 6.3E+02 470.576 467 AFH 457 457 0 0 64 1 5.6E+02 470.592 468 AFH 458 458 0 0 50 1 4.9E+02 470.604 469 AFH 459 459 0 0 64 1 5.2E+02 470.69 470 AFH 460 460 0 0 64 1 5.8E+02 470.715 471 AFH 461 461 0 0 64 1 5.4E+02 470.804 472 AFH 462 462 0 0 45 1 6.1E+02 471.059 473 AFH 463 463 0 0 46 1 5.1E+02 471.117 474 AFH 464 464 0 0 64 1 5.9E+02 471.125 475 AFH 465 465 0 0 64 1 4E+02 471.245 476 AFH 466 466 0 0 64 1 5.2E+02 471.404 477 AFH 467 467 0 0 64 1 4.3E+02 471.453 478 AFH 468 468 0 0 64 1 7.4E+02 471.486 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 AFH 469 469 0 0 64 1 6.2E+02 471.492 480 AFH 470 470 0 0 64 1 8E+02 471.524 481 AFH 471 471 0 0 64 1 5.2E+02 471.524 482 AFH 472 472 0 0 64 1 6.6E+02 471.62 483 AFH 473 473 0 0 47 1 6.7E+02 471.668 484 AFH 474 474 0 0 64 1 6.1E+02 471.683 485 AFH 475 475 0 0 46 1 4.9E+02 471.777 486 AFH 476 476 0 0 64 1 5.6E+02 471.948 487 AFH 477 477 0 0 46 1 5.4E+02 472.013 488 AFH 478 478 0 0 64 1 5.7E+02 472.161 489 AFH 479 479 0 0 64 1 6.2E+02 472.243 490 AFH 480 480 0 0 47 1 5.2E+02 472.302 491 AFH 481 481 0 0 64 1 8.4E+02 472.399 492 AFH 482 482 0 0 64 1 6.6E+02 472.407 493 AFH 483 483 0 0 64 1 6.1E+02 472.487 494 AFH 484 484 0 0 64 1 5.2E+02 472.544 495 AFH 485 485 0 0 48 1 6.2E+02 472.666 496 AFH 486 486 0 0 64 1 6E+02 472.693 497 AFH 487 487 0 0 64 1 8.5E+02 472.954 498 AFH 488 488 0 0 64 1 5.5E+02 473.161 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 AFH 489 489 0 0 48 1 5.4E+02 473.224 500 AFH 490 490 0 0 64 1 7.2E+02 473.678 501 AFH 491 491 0 0 64 1 6.8E+02 473.701 502 AFH 492 492 0 0 64 1 5.5E+02 473.96 503 AFH 493 493 0 0 44 1 5.2E+02 474.197 504 AFH 494 494 0 0 64 1 6.2E+02 474.287 505 AFH 495 495 0 0 64 1 6.2E+02 474.316 506 AFH 496 496 0 0 64 1 6.1E+02 474.372 507 AFH 497 497 0 0 64 1 9.5E+02 474.469 508 AFH 498 498 0 0 64 1 5.5E+02 474.569 509 AFH 499 499 0 0 64 1 5.9E+02 474.658 510 AFH 500 500 0 0 64 1 6.2E+02 474.68 511 AFH 501 501 0 0 64 1 7.2E+02 474.822 512 AFH 502 502 0 0 64 1 5.6E+02 475.265 513 AFH 503 503 0 0 64 1 6.8E+02 475.279 514 AFH 504 504 0 0 44 1 6.9E+02 475.495 515 AFH 505 505 0 0 64 1 5.2E+02 475.525 516 AFH 506 506 0 0 64 1 6.5E+02 475.655 517 AFH 507 507 0 0 48 1 5.8E+02 475.697 518 AFH 508 508 0 0 64 1 5.9E+02 475.867 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 AFH 509 509 0 0 64 1 7.9E+02 475.883 520 AFH 510 510 0 0 64 1 5.4E+02 475.965 521 AFH 511 511 0 0 64 1 4E+02 476.39 522 AFH 512 512 0 0 64 1 4E+02 476.551 523 AFH 513 513 0 0 64 1 4.9E+02 476.553 524 AFH 514 514 0 0 64 1 5.8E+02 476.595 525 AFH 515 515 0 0 41 1 5.6E+02 476.814 526 AFH 516 516 0 0 64 1 6.5E+02 476.859 527 AFH 517 517 0 0 64 1 5.9E+02 477.08 528 AFH 518 518 0 0 64 1 5.5E+02 477.122 529 AFH 519 519 0 0 64 1 6.3E+02 477.2 530 AFH 520 520 0 0 64 1 7.3E+02 477.281 531 AFH 521 521 0 0 64 1 7.8E+02 477.698 532 AFH 522 522 0 0 46 1 5.7E+02 477.791 533 AFH 523 523 0 0 45 1 5.6E+02 477.851 534 AFH 524 524 0 0 64 1 5.5E+02 478.242 535 AFH 525 525 0 0 49 1 5.8E+02 478.462 536 AFH 526 526 0 0 64 1 5.4E+02 478.485 537 AFH 527 527 0 0 45 1 5.8E+02 478.491 538 AFH 528 528 0 0 46 1 5.2E+02 478.493 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 AFH 529 529 0 0 64 1 6.3E+02 478.505 540 AFH 530 530 0 0 64 1 5.4E+02 478.752 541 AFH 531 531 0 0 64 1 5.2E+02 478.78 542 AFH 532 532 0 0 45 1 6.8E+02 478.856 543 AFH 533 533 0 0 64 1 5.1E+02 478.985 544 AFH 534 534 0 0 64 1 4.9E+02 479 545 AFH 535 535 0 0 64 1 6.7E+02 479.025 546 AFH 536 536 0 0 64 1 6.6E+02 479.167 547 AFH 537 537 0 0 49 1 4E+02 479.225 548 AFH 538 538 0 0 64 1 5.2E+02 479.317 549 AFH 539 539 0 0 64 1 4.8E+02 479.529 550 AFH 540 540 0 0 64 1 6.8E+02 479.571 551 AFH 541 541 0 0 64 1 5.4E+02 479.61 552 AFH 542 542 0 0 43 1 4.9E+02 479.654 553 AFH 543 543 0 0 64 1 6.7E+02 479.974 554 AFH 544 544 0 0 47 1 6.3E+02 480.035 555 AFH 545 545 0 0 64 1 6.1E+02 480.066 556 AFH 546 546 0 0 64 1 6E+02 480.193 557 AFH 547 547 0 0 64 1 7.4E+02 480.318 558 AFH 548 548 0 0 64 1 5.8E+02 480.394 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 AFH 549 549 0 0 64 1 8.7E+02 480.519 560 AFH 550 550 0 0 65 1 4.2E+02 480.658 561 AFH 551 551 0 0 53 1 5.7E+02 480.799 562 AFH 552 552 0 0 64 1 6.5E+02 480.811 563 AFH 553 553 0 0 64 1 8E+02 480.848 564 AFH 554 554 0 0 64 1 6E+02 480.913 565 AFH 555 555 0 0 46 1 4E+02 481.046 566 AFH 556 556 0 0 48 1 5.8E+02 481.088 567 AFH 557 557 0 0 52 1 5.5E+02 481.162 568 AFH 558 558 0 0 64 1 6.7E+02 481.212 569 AFH 559 559 0 0 64 1 6.4E+02 481.421 570 AFH 560 560 0 0 64 1 3.5E+02 481.546 571 AFH 561 561 0 0 64 1 4.4E+02 481.693 572 AFH 562 562 0 0 41 1 4.8E+02 481.738 573 AFH 563 563 0 0 46 1 6.8E+02 481.809 574 AFH 564 564 0 0 64 1 6.6E+02 481.812 575 AFH 565 565 0 0 64 1 6.1E+02 481.922 576 AFH 566 566 0 0 64 1 6E+02 482.284 577 AFH 567 567 0 0 64 1 8.4E+02 482.714 578 AFH 568 568 0 0 64 1 7.4E+02 482.762 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 AFH 569 569 0 0 64 1 6.6E+02 482.799 580 AFH 570 570 0 0 64 1 5.8E+02 482.872 581 AFH 571 571 0 0 64 1 6.3E+02 483.082 582 AFH 572 572 0 0 64 1 7.1E+02 483.094 583 AFH 573 573 0 0 64 1 5.6E+02 483.15 584 AFH 574 574 0 0 64 1 6.7E+02 483.192 585 AFH 575 575 0 0 64 1 5.4E+02 483.223 586 AFH 576 576 0 0 64 1 6.5E+02 483.283 587 AFH 577 577 0 0 50 1 6.3E+02 483.37 588 AFH 578 578 0 0 64 1 5.9E+02 483.52 589 AFH 579 579 0 0 64 1 5.5E+02 483.957 590 AFH 580 580 0 0 43 1 5.1E+02 484.008 591 AFH 581 581 0 0 64 1 5.5E+02 484.156 592 AFH 582 582 0 0 64 1 6.5E+02 484.219 593 AFH 583 583 0 0 44 1 5.1E+02 484.274 594 AFH 584 584 0 0 64 1 5.7E+02 484.348 595 AFH 585 585 0 0 64 1 6.5E+02 484.434 596 AFH 586 586 0 0 49 1 4.9E+02 484.711 597 AFH 587 587 0 0 64 1 6.2E+02 484.729 598 AFH 588 588 0 0 64 1 3.8E+02 484.754 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 AFH 589 589 0 0 44 1 4.8E+02 484.781 600 AFH 590 590 0 0 64 1 6.5E+02 484.802 601 AFH 591 591 0 0 64 1 7.6E+02 484.915 602 AFH 592 592 0 0 64 1 6.3E+02 485.216 603 AFH 593 593 0 0 64 1 5.6E+02 485.481 604 AFH 594 594 0 0 64 1 8.2E+02 485.637 605 AFH 595 595 0 0 64 1 7.7E+02 485.664 606 AFH 596 596 0 0 64 1 4.5E+02 485.854 607 AFH 597 597 0 0 64 1 6E+02 485.915 608 AFH 598 598 0 0 64 1 3.7E+02 485.928 609 AFH 599 599 0 0 64 1 7.1E+02 486.13 610 AFH 600 600 0 0 64 1 5.2E+02 486.15 611 AFH 601 601 0 0 64 1 5.4E+02 486.244 612 AFH 602 602 0 0 64 1 8E+02 486.307 613 AFH 603 603 0 0 64 1 3.3E+02 486.421 614 AFH 604 604 0 0 47 1 5.6E+02 486.553 615 AFH 605 605 0 0 48 1 5.7E+02 486.708 616 AFH 606 606 0 0 64 1 5.5E+02 486.714 617 AFH 607 607 0 0 64 1 4.9E+02 486.796 618 AFH 608 608 0 0 64 1 6.3E+02 486.908 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 AFH 609 609 0 0 64 1 5.5E+02 486.936 620 AFH 610 610 0 0 47 1 4.8E+02 486.947 621 AFH 611 611 0 0 64 1 6.9E+02 486.987 622 AFH 612 612 0 0 64 1 9E+02 486.997 623 AFH 613 613 0 0 64 1 7.1E+02 487.054 624 AFH 614 614 0 0 64 1 7.5E+02 487.247 625 AFH 615 615 0 0 64 1 8.1E+02 487.455 626 AFH 616 616 0 0 64 1 5.9E+02 487.763 627 AFH 617 617 0 0 43 1 5.8E+02 487.795 628 AFH 618 618 0 0 64 1 6.7E+02 487.843 629 AFH 619 619 0 0 64 1 8.7E+02 488.077 630 AFH 620 620 0 0 64 1 4E+02 488.281 631 AFH 621 621 0 0 64 1 8.5E+02 488.325 632 AFH 622 622 0 0 49 1 7.8E+02 488.419 633 AFH 623 623 0 0 64 1 4E+02 488.428 634 AFH 624 624 0 0 64 1 3.6E+02 488.436 635 AFH 625 625 0 0 64 1 6.1E+02 488.507 636 AFH 626 626 0 0 64 1 6.6E+02 488.512 637 AFH 627 627 0 0 64 1 6.2E+02 489.004 638 AFH 628 628 0 0 64 1 4.6E+02 489.022 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 AFH 629 629 0 0 64 1 4.5E+02 489.023 640 AFH 630 630 0 0 64 1 6.7E+02 489.066 641 AFH 631 631 0 0 54 1 4.9E+02 489.067 642 AFH 632 632 0 0 46 1 3.3E+02 489.382 643 AFH 633 633 0 0 64 1 5.7E+02 489.556 644 AFH 634 634 0 0 64 1 5.5E+02 489.824 645 AFH 635 635 0 0 64 1 6.9E+02 489.862 646 AFH 636 636 0 0 64 1 7.9E+02 489.913 647 AFH 637 637 0 0 64 1 6.6E+02 489.996 648 AFH 638 638 0 0 48 1 5.5E+02 490.027 649 AFH 639 639 0 0 64 1 6.1E+02 490.036 650 AFH 640 640 0 0 64 1 6.2E+02 490.235 651 AFH 641 641 0 0 46 1 6.4E+02 490.551 652 AFH 642 642 0 0 64 1 7E+02 490.556 653 AFH 643 643 0 0 64 1 7E+02 490.657 654 AFH 644 644 0 0 64 1 4.7E+02 490.729 655 AFH 645 645 0 0 64 1 7.6E+02 490.733 656 AFH 646 646 0 0 64 1 6E+02 490.828 657 AFH 647 647 0 0 64 1 7.9E+02 490.912 658 AFH 648 648 0 0 64 1 5.4E+02 490.988 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 AFH 649 649 0 0 64 1 5E+02 491.232 660 AFH 650 650 0 0 64 1 6.9E+02 491.257 661 AFH 651 651 0 0 64 1 6.1E+02 491.309 662 AFH 652 652 0 0 64 1 4.5E+02 491.393 663 AFH 653 653 0 0 42 1 3.2E+02 491.749 664 AFH 654 654 0 0 48 1 5.5E+02 491.856 665 AFH 655 655 0 0 47 1 7.1E+02 491.915 666 AFH 656 656 0 0 64 1 6E+02 491.948 667 AFH 657 657 0 0 46 1 4.9E+02 491.949 668 AFH 658 658 0 0 64 1 5.8E+02 491.997 669 AFH 659 659 0 0 64 1 6.3E+02 491.998 670 AFH 660 660 0 0 50 1 3.2E+02 492.068 671 AFH 661 661 0 0 64 1 6.1E+02 492.342 672 AFH 662 662 0 0 64 1 8.1E+02 492.382 673 AFH 663 663 0 0 64 1 8E+02 492.743 674 AFH 664 664 0 0 64 1 7.8E+02 492.764 675 AFH 665 665 0 0 64 1 6E+02 492.773 676 AFH 666 666 0 0 64 1 7.5E+02 492.794 677 AFH 667 667 0 0 38 1 3.8E+02 492.886 678 AFH 668 668 0 0 64 1 5.2E+02 493.007 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 AFH 669 669 0 0 64 1 6.2E+02 493.096 680 AFH 670 670 0 0 64 1 6.7E+02 493.22 681 AFH 671 671 0 0 64 1 7.6E+02 493.225 682 AFH 672 672 0 0 64 1 6.8E+02 493.281 683 AFH 673 673 0 0 64 1 4.9E+02 493.286 684 AFH 674 674 0 0 64 1 3.7E+02 493.436 685 AFH 675 675 0 0 64 1 6.2E+02 493.464 686 AFH 676 676 0 0 64 1 4.9E+02 493.793 687 AFH 677 677 0 0 64 1 5.4E+02 493.865 688 AFH 678 678 0 0 64 1 6E+02 493.966 689 AFH 679 679 0 0 64 1 5.6E+02 493.973 690 AFH 680 680 0 0 64 1 4.5E+02 494.151 691 AFH 681 681 0 0 64 1 6E+02 494.277 692 AFH 682 682 0 0 64 1 5.8E+02 494.63 693 AFH 683 683 0 0 64 1 5.3E+02 495.095 694 AFH 684 684 0 0 64 1 7.6E+02 495.175 695 AFH 685 685 0 0 48 1 5.6E+02 495.318 696 AFH 686 686 0 0 64 1 7.4E+02 495.388 697 AFH 687 687 0 0 64 1 5.4E+02 495.485 698 AFH 688 688 0 0 64 1 7.1E+02 495.544 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 AFH 689 689 0 0 64 1 4.5E+02 495.556 700 AFH 690 690 0 0 64 1 5.7E+02 495.563 701 AFH 691 691 0 0 64 1 7.8E+02 495.687 702 AFH 692 692 0 0 45 1 3E+02 495.873 703 AFH 693 693 0 0 64 1 7.3E+02 496.034 704 AFH 694 694 0 0 64 1 5E+02 496.191 705 AFH 695 695 0 0 45 1 4.9E+02 496.229 706 AFH 696 696 0 0 64 1 8.8E+02 496.254 707 AFH 697 697 0 0 64 1 5E+02 496.389 708 AFH 698 698 0 0 64 1 8.1E+02 496.486 709 AFH 699 699 0 0 64 1 5.1E+02 496.544 710 AFH 700 700 0 0 47 1 4.7E+02 496.699 711 AFH 701 701 0 0 43 1 5.2E+02 496.954 712 AFH 702 702 0 0 64 1 8.3E+02 496.983 713 AFH 703 703 0 0 64 1 4.8E+02 497.021 714 AFH 704 704 0 0 64 1 6E+02 497.235 715 AFH 705 705 0 0 64 1 6E+02 497.632 716 AFH 706 706 0 0 64 1 5.7E+02 497.823 717 AFH 707 707 0 0 64 1 3.8E+02 497.86 718 AFH 708 708 0 0 45 1 6.9E+02 497.889 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 AFH 709 709 0 0 46 1 3.7E+02 497.93 720 AFH 710 710 0 0 64 1 5E+02 497.973 721 AFH 711 711 0 0 64 1 6.5E+02 498.099 722 AFH 712 712 0 0 64 1 5.5E+02 498.132 723 AFH 713 713 0 0 64 1 4.3E+02 498.146 724 AFH 714 714 0 0 64 1 7.5E+02 498.233 725 AFH 715 715 0 0 44 1 4.6E+02 498.243 726 AFH 716 716 0 0 64 1 5.5E+02 498.26 727 AFH 717 717 0 0 64 1 6.9E+02 498.546 728 AFH 718 718 0 0 64 1 8.3E+02 498.731 729 AFH 719 719 0 0 64 1 3.6E+02 498.782 730 AFH 720 720 0 0 64 1 6.7E+02 498.811 731 AFH 721 721 0 0 46 1 3.4E+02 498.815 732 AFH 722 722 0 0 64 1 7.3E+02 498.871 733 AFH 723 723 0 0 64 1 5.4E+02 498.959 734 AFH 724 724 0 0 47 1 4.9E+02 498.987 735 AFH 725 725 0 0 64 1 7E+02 499.098 736 AFH 726 726 0 0 64 1 6E+02 499.247 737 AFH 727 727 0 0 64 1 4.4E+02 499.329 738 AFH 728 728 0 0 64 1 4.5E+02 499.415 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 AFH 729 729 0 0 64 1 7.7E+02 499.513 740 AFH 730 730 0 0 52 1 7.3E+02 499.622 741 AFH 731 731 0 0 64 1 6.9E+02 499.689 742 AFH 732 732 0 0 64 1 5E+02 499.753 743 AFH 733 733 0 0 64 1 7E+02 499.824 744 AFH 734 734 0 0 64 1 4.5E+02 499.926 745 AFH 735 735 0 0 64 1 8.2E+02 500.052 746 AFH 736 736 0 0 64 1 4.7E+02 500.156 747 AFH 737 737 0 0 64 1 3.9E+02 500.167 748 AFH 738 738 0 0 64 1 4.7E+02 500.311 749 AFH 739 739 0 0 64 1 5.1E+02 500.316 750 AFH 740 740 0 0 64 1 5E+02 500.341 751 AFH 741 741 0 0 64 1 6.6E+02 500.399 752 AFH 742 742 0 0 64 1 5.3E+02 500.409 753 AFH 743 743 0 0 43 1 6.1E+02 500.586 754 AFH 744 744 0 0 64 1 3.2E+02 500.659 755 AFH 745 745 0 0 48 1 3.6E+02 500.661 756 AFH 746 746 0 0 64 1 6.2E+02 500.951 757 AFH 747 747 0 0 64 1 5.4E+02 500.956 758 AFH 748 748 0 0 64 1 4.6E+02 500.982 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 AFH 749 749 0 0 44 1 6.9E+02 501.108 760 AFH 750 750 0 0 64 1 6.4E+02 501.236 761 AFH 751 751 0 0 64 1 4.6E+02 501.298 762 AFH 752 752 0 0 64 1 7.6E+02 501.326 763 AFH 753 753 0 0 64 1 5E+02 501.475 764 AFH 754 754 0 0 64 1 8.2E+02 501.476 765 AFH 755 755 0 0 64 1 6.1E+02 501.489 766 AFH 756 756 0 0 64 1 7.4E+02 501.731 767 AFH 757 757 0 0 46 1 4.6E+02 501.746 768 AFH 758 758 0 0 42 1 4.2E+02 501.839 769 AFH 759 759 0 0 64 1 5.2E+02 501.918 770 AFH 760 760 0 0 46 1 4.9E+02 502.023 771 AFH 761 761 0 0 64 1 3.7E+02 502.156 772 AFH 762 762 0 0 64 1 6.5E+02 502.235 773 AFH 763 763 0 0 64 1 7.9E+02 502.281 774 AFH 764 764 0 0 64 1 4.1E+02 502.364 775 AFH 765 765 0 0 64 1 5.4E+02 502.452 776 AFH 766 766 0 0 64 1 7.4E+02 502.491 777 AFH 767 767 0 0 45 1 4.2E+02 502.498 778 AFH 768 768 0 0 64 1 7E+02 502.597 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 AFH 769 769 0 0 64 1 7E+02 502.645 780 AFH 770 770 0 0 50 1 4.9E+02 502.768 781 AFH 771 771 0 0 64 1 7.1E+02 502.772 782 AFH 772 772 0 0 39 1 7.3E+02 502.806 783 AFH 773 773 0 0 64 1 3.1E+02 502.868 784 AFH 774 774 0 0 64 1 4.6E+02 502.888 785 AFH 775 775 0 0 64 1 4.4E+02 502.911 786 AFH 776 776 0 0 44 1 6.8E+02 503.011 787 AFH 777 777 0 0 64 1 6.3E+02 503.017 788 AFH 778 778 0 0 41 1 7.6E+02 503.08 789 AFH 779 779 0 0 46 1 6.7E+02 503.084 790 AFH 780 780 0 0 42 1 4.6E+02 503.109 791 AFH 781 781 0 0 64 1 7.4E+02 503.176 792 AFH 782 782 0 0 64 1 4.5E+02 503.264 793 AFH 783 783 0 0 46 1 3.4E+02 503.266 794 AFH 784 784 0 0 44 1 4.7E+02 503.313 795 AFH 785 785 0 0 64 1 7.9E+02 503.465 796 AFH 786 786 0 0 46 1 6.2E+02 503.483 797 AFH 787 787 0 0 64 1 3E+02 503.513 798 AFH 788 788 0 0 64 1 6.8E+02 503.636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 AFH 789 789 0 0 64 1 6.8E+02 503.731 800 AFH 790 790 0 0 64 1 4.8E+02 503.733 801 AFH 791 791 0 0 44 1 4.4E+02 503.753 802 AFH 792 792 0 0 64 1 5.9E+02 503.993 803 AFH 793 793 0 0 64 1 4.5E+02 504.064 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.98_uflquad-25-30._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 669.8395610334621324 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 669.8395610334621324 Max constraint (1) : -0 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 804 Iteration limit : -1 Function evaluations : 828 Gradient evaluations : 795 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 786/804 NLP solver calls : 803 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-25-30.gms(2139) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-25-30.gms Stop 09/14/12 16:41:02 elapsed 2:00:02.210 @04 1347633662 ----------------------------- Fr 14. Sep 16:41:02 CEST 2012 ----------------------------- =ready= Linux opt231 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/UncapacitatedFacilityLocation/gms/uflquad-25-40.gms =========== ----------------------------- Fr 14. Sep 14:42:04 CEST 2012 ----------------------------- @03 1347626524 --- Job uflquad-25-40.gms Start 09/14/12 14:42:04 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- uflquad-25-40.gms(2840) 2 Mb --- Starting execution: elapsed 0:00:00.027 --- uflquad-25-40.gms(2838) 3 Mb --- Generating MIQCP model m --- uflquad-25-40.gms(2840) 6 Mb --- 1,041 rows 1,026 columns 4,026 non-zeroes --- 4,002 nl-code 1,000 nl-non-zeroes --- 25 discrete-columns --- uflquad-25-40.gms(2840) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.043 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.99_uflquad-25-40._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 4026 elements of which 25% are non-linear(NL) included in 1041 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(1), =L=(0) The number of variables in NL elements are 1000 from a total of 1026 variables: Continuous(1001), Binary(25), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=205 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (1) infeasibile 0 H 0 0 0 1 0 1 3.4E+02 NA 1 SAFG 1 1 0 1 1.4E+02 0 0 1061.96 1 FOUND SOLUTION: 1061.96 (NLP) in 1 sec. 2 SAFH 1 1 0 1 0 1 1E+03 56.7262 3 SAFH 2 2 0 1 82 1 1E+03 73.7733 4 SAFJL 3 3 0 1 82 0 0 1061.96 5 SAFH 2 2 0 0.5 82 1 2E+03 -633.08 6 SAFH 3 3 0 0.5 82 1 2E+03 -632.08 7 SAFH 4 4 0 0.5 82 1 2E+03 -626.08 8 SAFH 5 5 0 0.5 82 1 2.2E+03 -611.08 9 SAFH 6 6 0 0.5 82 1 1.8E+03 -609.08 10 SAFH 7 7 0 0.5 82 1 2E+03 -602.08 11 SAFH 8 8 0 0.5 82 1 1.9E+03 -570.08 12 SAFJ 9 9 0 0.5 82 0 2.3E-13 1572.19 13 SAFJ 9 9 0 0.3 0 0 2.3E-13 1572.19 14 SAFJ 9 9 0 0.2 0 0 2.3E-13 1572.19 15 SAFJ 9 9 0 0.1 0 0 2.3E-13 1572.19 16 AFH 9 9 0 0 82 1 2E+03 -569.08 17 AFH 10 10 0 0 82 1 2.3E+03 -564.08 18 AFH 11 11 0 0 82 1 2E+03 -560.08 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 12 12 0 0 82 1 2E+03 -554.08 20 AFH 13 13 0 0 82 1 2.1E+03 -542.08 21 AFH 14 14 0 0 82 1 1.7E+03 -541.08 22 AFH 15 15 0 0 82 1 2.1E+03 -534.08 23 AFH 16 16 0 0 82 1 1.8E+03 -511.08 24 AFH 17 17 0 0 82 1 2.1E+03 -494.08 25 AFH 18 18 0 0 82 1 1.9E+03 -491.08 26 AFH 19 19 0 0 82 1 2E+03 -490.08 27 AFH 20 20 0 0 82 1 1.9E+03 -487.08 28 AFH 21 21 0 0 82 1 1.9E+03 -485.08 29 AFH 22 22 0 0 82 1 2.4E+03 -471.08 30 AFH 23 23 0 0 82 1 2E+03 -463.08 31 AFH 24 24 0 0 82 1 2E+03 -450.08 32 AFG 25 25 0 0 84 0 0 960.323 32 FOUND SOLUTION: 960.323 (NLP) in 6 sec. 33 AFH 25 25 0 0 35 1 1.4E+03 -125.622 34 AFG 26 26 0 0 65 0 0 885.229 34 FOUND SOLUTION: 885.229 (NLP) in 11 sec. 35 AFH 26 26 0 0 26 1 1.1E+03 42.3417 36 AFH 27 27 0 0 84 1 1.1E+03 68.675 37 AFH 28 28 0 0 85 1 1.3E+03 81.0459 38 AFH 29 29 0 0 69 1 1.3E+03 85.6416 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 30 30 0 0 73 1 1.5E+03 102.858 40 AFH 31 31 0 0 85 1 1.2E+03 108.824 41 AFH 32 32 0 0 85 1 1.3E+03 119.396 42 AFH 33 33 0 0 76 1 1.4E+03 124.209 43 AFH 34 34 0 0 68 1 1.3E+03 127.798 44 AFH 35 35 0 0 62 1 1.1E+03 130.006 45 AFH 36 36 0 0 84 1 1.1E+03 133.175 46 AFH 37 37 0 0 65 1 1.2E+03 139.732 47 AFH 38 38 0 0 67 1 1.2E+03 143.09 48 AFH 39 39 0 0 67 1 1.2E+03 150.088 49 AFH 40 40 0 0 86 1 1.4E+03 154.445 50 AFH 41 41 0 0 86 1 1.2E+03 157.44 51 AFH 42 42 0 0 70 1 1.3E+03 158.264 52 AFH 43 43 0 0 73 1 1.2E+03 159.207 53 AFH 44 44 0 0 85 1 1.1E+03 162.582 54 AFG 45 45 0 0 84 0 0 878.528 54 FOUND SOLUTION: 878.528 (NLP) in 94 sec. 55 AFH 45 45 0 0 26 1 1E+03 163.186 56 AFH 46 46 0 0 84 1 1.2E+03 165.851 57 AFH 47 47 0 0 52 1 1.1E+03 170.177 58 AFH 48 48 0 0 85 1 1.4E+03 170.468 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 49 49 0 0 86 1 1.3E+03 171.282 60 AFH 50 50 0 0 85 1 1.2E+03 174.461 61 AFH 51 51 0 0 84 1 1.1E+03 175.332 62 AFH 52 52 0 0 62 1 1.1E+03 176.026 63 AFH 53 53 0 0 84 1 1.1E+03 179.049 64 AFH 54 54 0 0 85 1 1.4E+03 181.037 65 AFG 55 55 0 0 62 0 0 840.061 65 FOUND SOLUTION: 840.061 (NLP) in 164 sec. 66 AFH 55 55 0 0 26 1 9.4E+02 181.83 67 AFH 56 56 0 0 85 1 1.3E+03 182.253 68 AFH 57 57 0 0 85 1 1.1E+03 185.681 69 AFH 58 58 0 0 85 1 1.2E+03 186.123 70 AFH 59 59 0 0 65 1 1.1E+03 188.595 71 AFH 60 60 0 0 85 1 1.1E+03 190.624 72 AFH 61 61 0 0 74 1 1.3E+03 193.672 73 AFH 62 62 0 0 61 1 1.1E+03 193.742 74 AFH 63 63 0 0 67 1 1.5E+03 195.559 75 AFH 64 64 0 0 85 1 1E+03 196.851 76 AFH 65 65 0 0 84 1 9.6E+02 196.993 77 AFH 66 66 0 0 85 1 1.4E+03 198.741 78 AFH 67 67 0 0 73 1 1.4E+03 199.431 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 68 68 0 0 86 1 1.1E+03 203.557 80 AFH 69 69 0 0 72 1 1.4E+03 204.667 81 AFH 70 70 0 0 71 1 1.2E+03 208.061 82 AFH 71 71 0 0 86 1 1.4E+03 209.035 83 AFH 72 72 0 0 86 1 1.2E+03 210.25 84 AFH 73 73 0 0 86 1 1.3E+03 212.582 85 AFH 74 74 0 0 73 1 1.2E+03 212.781 86 AFH 75 75 0 0 86 1 1.3E+03 213.023 87 AFH 76 76 0 0 63 1 9.4E+02 214.414 88 AFH 77 77 0 0 84 1 1.2E+03 214.805 89 AFH 78 78 0 0 84 1 1.2E+03 216.612 90 AFH 79 79 0 0 69 1 1.2E+03 219.332 91 AFH 80 80 0 0 70 1 1.1E+03 219.907 92 AFH 81 81 0 0 71 1 1.2E+03 220.786 93 AFH 82 82 0 0 60 1 1.3E+03 221.031 94 AFH 83 83 0 0 86 1 1.4E+03 221.568 95 AFH 84 84 0 0 85 1 1.3E+03 221.927 96 AFH 85 85 0 0 84 1 1.1E+03 223.445 97 AFH 86 86 0 0 55 1 1E+03 223.583 98 AFH 87 87 0 0 84 1 1.1E+03 223.597 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 88 88 0 0 58 1 1E+03 224.211 100 AFH 89 89 0 0 84 1 1.2E+03 226.464 101 AFH 90 90 0 0 84 1 1.1E+03 228.954 102 AFH 91 91 0 0 52 1 9.6E+02 229.588 103 AFH 92 92 0 0 69 1 1.2E+03 229.993 104 AFH 93 93 0 0 72 1 1.4E+03 230.005 105 AFH 94 94 0 0 85 1 1E+03 230.16 106 AFH 95 95 0 0 84 1 1.1E+03 231.799 107 AFH 96 96 0 0 85 1 1.2E+03 232.313 108 AFH 97 97 0 0 85 1 1.1E+03 232.317 109 AFH 98 98 0 0 85 1 1.2E+03 232.832 110 AFH 99 99 0 0 73 1 1.2E+03 233.151 111 AFH 100 100 0 0 75 1 1.4E+03 235.605 112 AFH 101 101 0 0 67 1 1.3E+03 236.439 113 AFH 102 102 0 0 85 1 1.2E+03 237.273 114 AFH 103 103 0 0 66 1 1.3E+03 237.321 115 AFH 104 104 0 0 71 1 9.3E+02 237.425 116 AFH 105 105 0 0 85 1 1.4E+03 242.593 117 AFH 106 106 0 0 85 1 9.9E+02 242.654 118 AFH 107 107 0 0 85 1 1.2E+03 243.081 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 108 108 0 0 63 1 1.2E+03 243.607 120 AFH 109 109 0 0 84 1 1.1E+03 244.44 121 AFH 110 110 0 0 65 1 1.2E+03 245.737 122 AFH 111 111 0 0 85 1 1.2E+03 245.99 123 AFH 112 112 0 0 84 1 1.1E+03 247.349 124 AFH 113 113 0 0 85 1 1.2E+03 247.439 125 AFH 114 114 0 0 73 1 1.1E+03 248.354 126 AFH 115 115 0 0 73 1 1.4E+03 249.426 127 AFH 116 116 0 0 85 1 1E+03 249.633 128 AFH 117 117 0 0 85 1 1.3E+03 249.832 129 AFH 118 118 0 0 86 1 1.2E+03 250.16 130 AFH 119 119 0 0 85 1 1.1E+03 250.877 131 AFH 120 120 0 0 84 1 1.1E+03 250.91 132 AFH 121 121 0 0 56 1 9.9E+02 252.397 133 AFH 122 122 0 0 85 1 1.2E+03 254.569 134 AFH 123 123 0 0 68 1 1.1E+03 254.636 135 AFH 124 124 0 0 68 1 1.3E+03 254.763 136 AFH 125 125 0 0 85 1 9E+02 254.924 137 AFH 126 126 0 0 84 1 1.1E+03 254.979 138 AFH 127 127 0 0 72 1 1.1E+03 255.568 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 AFH 128 128 0 0 69 1 1.2E+03 255.758 140 AFH 129 129 0 0 71 1 1.2E+03 256.078 141 AFH 130 130 0 0 66 1 1.2E+03 256.462 142 AFH 131 131 0 0 86 1 1.2E+03 257.347 143 AFH 132 132 0 0 75 1 1.1E+03 258.032 144 AFH 133 133 0 0 85 1 1.1E+03 258.824 145 AFH 134 134 0 0 85 1 1.2E+03 259.214 146 AFH 135 135 0 0 63 1 1.2E+03 260.338 147 AFH 136 136 0 0 85 1 1.1E+03 261.093 148 AFG 137 137 0 0 84 0 0 828.165 148 FOUND SOLUTION: 828.165 (NLP) in 1332 sec. 149 AFH 137 137 0 0 27 1 8.1E+02 261.865 150 AFH 138 138 0 0 85 1 1.2E+03 261.974 151 AFH 139 139 0 0 85 1 1.1E+03 262.234 152 AFH 140 140 0 0 84 1 9.8E+02 262.737 153 AFH 141 141 0 0 85 1 1.1E+03 263.057 154 AFH 142 142 0 0 75 1 9.4E+02 263.506 155 AFH 143 143 0 0 84 1 9.9E+02 263.852 156 AFH 144 144 0 0 69 1 1.2E+03 264.533 157 AFH 145 145 0 0 85 1 1.2E+03 264.684 158 AFH 146 146 0 0 84 1 1E+03 264.696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 AFH 147 147 0 0 84 1 1.1E+03 265.771 160 AFH 148 148 0 0 85 1 1.3E+03 265.956 161 AFH 149 149 0 0 85 1 9.9E+02 266.211 162 AFH 150 150 0 0 85 1 1.3E+03 267.572 163 AFH 151 151 0 0 85 1 1.2E+03 267.724 164 AFH 152 152 0 0 69 1 1.1E+03 268.8 165 AFH 153 153 0 0 85 1 1.1E+03 269.038 166 AFH 154 154 0 0 84 1 1E+03 270.405 167 AFH 155 155 0 0 84 1 1.1E+03 270.721 168 AFH 156 156 0 0 84 1 1.2E+03 272.2 169 AFH 157 157 0 0 84 1 9.7E+02 272.656 170 AFH 158 158 0 0 85 1 1.2E+03 273.051 171 AFH 159 159 0 0 85 1 1E+03 273.156 172 AFH 160 160 0 0 57 1 1.1E+03 273.25 173 AFH 161 161 0 0 84 1 9.2E+02 274.047 174 AFH 162 162 0 0 57 1 1E+03 274.102 175 AFH 163 163 0 0 84 1 1.2E+03 274.894 176 AFH 164 164 0 0 85 1 1.1E+03 274.961 177 AFH 165 165 0 0 72 1 1.2E+03 275.158 178 AFH 166 166 0 0 72 1 1.3E+03 275.985 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 AFH 167 167 0 0 77 1 1.4E+03 276.674 180 AFH 168 168 0 0 72 1 1.2E+03 276.707 181 AFH 169 169 0 0 86 1 1.1E+03 277.452 182 AFH 170 170 0 0 75 1 1.2E+03 278.337 183 AFH 171 171 0 0 85 1 1.1E+03 278.535 184 AFH 172 172 0 0 53 1 1.2E+03 278.685 185 AFH 173 173 0 0 84 1 1.1E+03 279.137 186 AFH 174 174 0 0 84 1 1.1E+03 279.239 187 AFH 175 175 0 0 68 1 1.2E+03 279.662 188 AFH 176 176 0 0 74 1 1.2E+03 281.019 189 AFH 177 177 0 0 85 1 1.1E+03 281.841 190 AFH 178 178 0 0 57 1 1E+03 282.038 191 AFH 179 179 0 0 84 1 1.2E+03 282.495 192 AFH 180 180 0 0 84 1 1.1E+03 282.952 193 AFH 181 181 0 0 61 1 1.2E+03 283.283 194 AFH 182 182 0 0 84 1 1.1E+03 283.621 195 AFH 183 183 0 0 84 1 9.9E+02 283.929 196 AFH 184 184 0 0 84 1 1E+03 284.577 197 AFH 185 185 0 0 84 1 1E+03 285.332 198 AFH 186 186 0 0 63 1 1.2E+03 285.472 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 AFH 187 187 0 0 55 1 1.1E+03 285.564 200 AFH 188 188 0 0 73 1 1.4E+03 285.807 201 AFH 189 189 0 0 70 1 1E+03 286.499 202 AFH 190 190 0 0 55 1 1E+03 286.515 203 AFH 191 191 0 0 53 1 8.4E+02 287.57 204 AFH 192 192 0 0 84 1 1.1E+03 287.925 205 AFH 193 193 0 0 85 1 1.2E+03 288.797 206 AFH 194 194 0 0 60 1 1.2E+03 289.199 207 AFH 195 195 0 0 84 1 1.1E+03 289.782 208 AFH 196 196 0 0 84 1 9.6E+02 290.307 209 AFH 197 197 0 0 84 1 1E+03 290.621 210 AFH 198 198 0 0 85 1 1.2E+03 291.16 211 AFH 199 199 0 0 75 1 1.2E+03 291.587 212 AFH 200 200 0 0 85 1 9.2E+02 292.291 213 AFH 201 201 0 0 58 1 9.4E+02 292.363 214 AFH 202 202 0 0 85 1 1.1E+03 292.454 215 AFH 203 203 0 0 85 1 1.1E+03 292.563 216 AFH 204 204 0 0 85 1 1.1E+03 293.254 217 AFH 205 205 0 0 85 1 1.1E+03 293.784 218 AFH 206 206 0 0 84 1 9.8E+02 294.616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 207 207 0 0 84 1 9.9E+02 294.638 220 AFH 208 208 0 0 85 1 1.3E+03 295.59 221 AFH 209 209 0 0 75 1 1E+03 295.888 222 AFH 210 210 0 0 70 1 1.2E+03 297.086 223 AFH 211 211 0 0 86 1 1.1E+03 297.366 224 AFH 212 212 0 0 77 1 1E+03 298.301 225 AFH 213 213 0 0 69 1 9.6E+02 298.544 226 AFH 214 214 0 0 84 1 1.1E+03 298.576 227 AFH 215 215 0 0 67 1 1.2E+03 298.834 228 AFH 216 216 0 0 85 1 1.1E+03 299.109 229 AFH 217 217 0 0 84 1 9.4E+02 299.173 230 AFH 218 218 0 0 85 1 1.2E+03 299.681 231 AFH 219 219 0 0 76 1 1E+03 300.779 232 AFH 220 220 0 0 85 1 1E+03 300.883 233 AFH 221 221 0 0 84 1 1.1E+03 301.144 234 AFH 222 222 0 0 85 1 1.2E+03 301.348 235 AFH 223 223 0 0 85 1 1.1E+03 301.524 236 AFH 224 224 0 0 85 1 1.2E+03 302.775 237 AFH 225 225 0 0 85 1 9.3E+02 302.923 238 AFH 226 226 0 0 84 1 9.8E+02 302.931 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 AFH 227 227 0 0 68 1 1.1E+03 303.69 240 AFH 228 228 0 0 85 1 1.1E+03 304.908 241 AFH 229 229 0 0 84 1 9.8E+02 305.296 242 AFH 230 230 0 0 84 1 1.1E+03 305.312 243 AFH 231 231 0 0 85 1 1.3E+03 305.978 244 AFH 232 232 0 0 86 1 1.1E+03 306.101 245 AFH 233 233 0 0 85 1 1.1E+03 306.179 246 AFH 234 234 0 0 85 1 1E+03 307.335 247 AFH 235 235 0 0 76 1 1.2E+03 307.753 248 AFH 236 236 0 0 85 1 9.1E+02 307.964 249 AFH 237 237 0 0 84 1 1.3E+03 308.112 250 AFH 238 238 0 0 59 1 1.3E+03 308.375 251 AFH 239 239 0 0 85 1 1.1E+03 308.546 252 AFH 240 240 0 0 86 1 1.3E+03 308.948 253 AFH 241 241 0 0 85 1 9.8E+02 309.379 254 AFH 242 242 0 0 84 1 8.8E+02 309.617 255 AFH 243 243 0 0 85 1 1.1E+03 309.904 256 AFH 244 244 0 0 74 1 1.2E+03 311.454 257 AFH 245 245 0 0 85 1 9.4E+02 311.537 258 AFH 246 246 0 0 57 1 9E+02 311.799 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 AFH 247 247 0 0 71 1 1.2E+03 312.285 260 AFH 248 248 0 0 72 1 1.3E+03 312.653 261 AFH 249 249 0 0 63 1 1.1E+03 313.464 262 AFH 250 250 0 0 84 1 1.1E+03 314.016 263 AFH 251 251 0 0 85 1 1.1E+03 314.963 264 AFH 252 252 0 0 74 1 1.2E+03 316.172 265 AFH 253 253 0 0 85 1 1E+03 316.327 266 AFH 254 254 0 0 65 1 1.2E+03 316.895 267 AFH 255 255 0 0 64 1 1.3E+03 317.475 268 AFH 256 256 0 0 85 1 1.1E+03 317.501 269 AFH 257 257 0 0 85 1 1.1E+03 318.132 270 AFH 258 258 0 0 74 1 1.1E+03 318.779 271 AFH 259 259 0 0 70 1 1E+03 319.643 272 AFH 260 260 0 0 85 1 1.2E+03 320.276 273 AFH 261 261 0 0 86 1 1.2E+03 320.427 274 AFH 262 262 0 0 68 1 1.1E+03 320.577 275 AFH 263 263 0 0 65 1 1E+03 320.622 276 AFH 264 264 0 0 84 1 1E+03 320.708 277 AFH 265 265 0 0 59 1 1E+03 321.123 278 AFH 266 266 0 0 84 1 1.1E+03 322.084 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 AFH 267 267 0 0 85 1 1.2E+03 322.384 280 AFH 268 268 0 0 64 1 1.2E+03 322.523 281 AFH 269 269 0 0 84 1 1.1E+03 322.524 282 AFH 270 270 0 0 85 1 1E+03 322.993 283 AFH 271 271 0 0 85 1 1E+03 323.306 284 AFH 272 272 0 0 70 1 1.1E+03 324.051 285 AFH 273 273 0 0 86 1 1.2E+03 324.179 286 AFH 274 274 0 0 86 1 1.3E+03 324.374 287 AFH 275 275 0 0 63 1 1.3E+03 324.565 288 AFH 276 276 0 0 84 1 1E+03 324.593 289 AFH 277 277 0 0 85 1 1E+03 324.997 290 AFH 278 278 0 0 72 1 1E+03 325.008 291 AFH 279 279 0 0 72 1 1.1E+03 325.272 292 AFH 280 280 0 0 59 1 1E+03 325.474 293 AFH 281 281 0 0 70 1 1.2E+03 325.491 294 AFH 282 282 0 0 72 1 1E+03 325.682 295 AFH 283 283 0 0 64 1 9.9E+02 325.771 296 AFH 284 284 0 0 85 1 1.2E+03 326.12 297 AFH 285 285 0 0 85 1 1.2E+03 326.217 298 AFH 286 286 0 0 86 1 1.1E+03 326.464 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 AFH 287 287 0 0 85 1 1.1E+03 326.579 300 AFH 288 288 0 0 85 1 9.7E+02 327.422 301 AFH 289 289 0 0 75 1 1.3E+03 327.64 302 AFH 290 290 0 0 86 1 1.1E+03 327.946 303 AFH 291 291 0 0 85 1 1.1E+03 328.157 304 AFH 292 292 0 0 71 1 1.1E+03 328.387 305 AFH 293 293 0 0 73 1 1.2E+03 328.743 306 AFH 294 294 0 0 74 1 1.2E+03 329.13 307 AFH 295 295 0 0 76 1 1.1E+03 329.557 308 AFH 296 296 0 0 85 1 1.1E+03 329.671 309 AFH 297 297 0 0 84 1 9.4E+02 329.797 310 AFH 298 298 0 0 84 1 1.1E+03 329.949 311 AFH 299 299 0 0 70 1 9.5E+02 330.513 312 AFH 300 300 0 0 86 1 1.4E+03 330.61 313 AFH 301 301 0 0 72 1 1.1E+03 330.689 314 AFH 302 302 0 0 85 1 1.2E+03 330.751 315 AFH 303 303 0 0 86 1 1.2E+03 331.114 316 AFH 304 304 0 0 85 1 1.2E+03 331.282 317 AFH 305 305 0 0 85 1 1E+03 331.309 318 AFH 306 306 0 0 86 1 1.2E+03 331.415 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 AFH 307 307 0 0 69 1 9.8E+02 331.496 320 AFH 308 308 0 0 69 1 1.1E+03 331.7 321 AFH 309 309 0 0 75 1 8.5E+02 332.008 322 AFH 310 310 0 0 65 1 1E+03 332.46 323 AFH 311 311 0 0 76 1 1.1E+03 332.572 324 AFH 312 312 0 0 85 1 1.1E+03 332.843 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.99_uflquad-25-40._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 828.16451857317099439 Max constraint (1) : -0 Alternative solution : MIP Alt. objective value : 828.16451857317099439 Max constraint (1) : -0 Time used (seconds) : 7202.01 Time limit (seconds) : 7200 Iterations used : 325 Iteration limit : -1 Function evaluations : 351 Gradient evaluations : 314 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 310/325 NLP solver calls : 324 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- uflquad-25-40.gms(2840) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job uflquad-25-40.gms Stop 09/14/12 16:42:07 elapsed 2:00:02.251 @04 1347633727 ----------------------------- Fr 14. Sep 16:42:07 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/NetworkDesign/gms/nd-10.gms =========== ----------------------------- Fr 14. Sep 14:45:21 CEST 2012 ----------------------------- @03 1347626721 --- Job nd-10.gms Start 09/14/12 14:45:21 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- nd-10.gms(549) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- nd-10.gms(547) 3 Mb --- Generating MINLP model m --- nd-10.gms(549) 5 Mb --- 178 rows 337 columns 1,289 non-zeroes --- 980 nl-code 280 nl-non-zeroes --- 28 discrete-columns --- nd-10.gms(549) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.100_nd-10._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1289 elements of which 22% are non-linear(NL) included in 178 constraints of which 16% are NL The NL constraint signs: =E=(0), =G=(28), =L=(0) The number of variables in NL elements are 280 from a total of 337 variables: Continuous(309), Binary(28), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=49 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (121) infeasibile 0 H 0 0 0 1 0 28 1 NA 1 SAFH 28 1 0 1 1.7E+04 26 1.1E+11 69.1778 2 SAFH 30 2 0 1 4.4E+03 27 2.9E+10 69.1778 3 SAFH 34 3 0 1 5.2E+03 26 2.9E+10 69.1778 4 SAFH 36 4 0 1 4E+03 26 3.5E+10 69.1778 5 SAFH 38 5 0 1 4.8E+03 26 1.1E+10 69.1778 6 SAFH 42 6 0 1 5E+03 25 3.5E+10 69.1778 7 SAFH 43 7 0 1 1.7E+03 25 1.8E+10 69.1778 8 SAFH 46 8 0 1 5E+03 25 1.5E+10 69.1778 9 SAFH 47 9 0 1 2.3E+03 25 4.8E+09 69.1778 10 SAFH 49 10 0 1 1.6E+03 25 1.7E+10 69.1778 11 SAFH 50 11 0 1 3.6E+02 25 8.3E+09 69.1778 12 SAFH 52 12 0 1 3.8E+03 24 5.5E+10 69.1778 13 SAFH 53 13 0 1 3.6E+03 25 1.2E+11 66.6328 14 SAFH 54 14 0 1 5E+03 26 1.8E+10 69.1778 15 SAFH 55 15 0 1 1.6E+03 24 8.8E+09 69.1778 16 SAFH 57 16 0 1 4.7E+03 26 3.3E+10 69.1778 17 SAFH 58 17 0 1 4.5E+03 25 6E+10 66.6328 18 SAFH 60 18 0 1 3.2E+03 25 1.4E+10 66.6328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 61 19 0 1 3.4E+03 26 5.7E+09 69.1778 20 SAFH 62 20 0 1 2.5E+03 25 2.7E+10 69.1778 21 SAFH 63 21 0 1 4.1E+03 26 3.7E+09 69.1778 22 SAFH 67 22 0 1 5.1E+03 27 2.1E+10 69.1778 23 SAFH 68 23 0 1 4E-05 27 1.1E+10 69.1778 24 SAFH 70 24 0 1 5.2E+03 25 4.4E+09 69.1778 25 SAFH 71 25 0 1 2.6E+03 26 2.9E+09 69.1778 26 SAFH 73 26 0 1 3.1E+03 25 1.4E+09 69.1778 27 SAFH 75 27 0 1 3.4E+03 26 2.4E+09 69.1778 28 SAFH 77 28 0 1 3.1E+03 26 1.7E+10 69.1778 29 SAFH 78 29 0 1 2.9E+03 26 2.2E+09 69.1778 30 SAFH 79 30 0 1 2.2E+03 26 6E+08 69.1778 31 SAFH 80 31 0 1 2.2E+03 27 5.3E+09 69.1778 32 SAFH 81 32 0 1 3.2E+03 27 8.3E+09 69.1778 33 SAFH 82 33 0 1 3.3E+03 26 1.4E+09 66.6328 34 SAFH 84 34 0 1 3.4E+03 26 6.8E+08 69.1778 35 SAFG 85 35 0 1 9E+03 0 5.7E-14 69.1778 35 FOUND SOLUTION: 69.1778 (NLP) in 2 sec. 36 SAFH 85 35 0 1 7.4E+03 26 3E+08 69.1778 37 SAFH 86 36 0 1 2.8E+03 26 4.1E+09 69.1778 38 SAFH 87 37 0 1 3.4E+03 26 9.1E+08 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 88 38 0 1 3.6E+03 26 2.2E+10 69.1778 40 SAFH 90 39 0 1 3.2E+03 26 7.3E+09 69.1778 41 SAFH 91 40 0 1 2.6E+03 26 8.8E+09 69.1778 42 SAFH 92 41 0 1 1.3E+03 25 6.8E+09 69.1778 43 SAFH 94 42 0 1 4.7E+03 26 1.1E+11 69.1778 44 SAFH 95 43 0 1 3.3E+03 25 2.6E+09 69.1778 45 SAFH 96 44 0 1 4.8E+03 26 1.2E+09 69.1778 46 SAFH 97 45 0 1 9.7E-05 26 6E+08 69.1778 47 SAFH 99 46 0 1 5.1E+03 26 1.1E+09 69.1778 48 SAFH 100 47 0 1 2.3E+03 25 1.3E+09 69.1778 49 SAFH 101 48 0 1 4.9E+03 27 7.1E+08 69.1778 50 SAFH 102 49 0 1 2.8E+03 25 3.4E+08 69.1778 51 SAFH 103 50 0 1 4.6E+03 26 3E+08 69.1778 52 SAFH 105 51 0 1 6.2E+03 25 3.7E+09 65.7127 53 SAFH 107 52 0 1 4.4E+03 25 2.2E+09 69.1778 54 SAFH 108 53 0 1 2.5E+03 26 1.8E+09 69.1778 55 SAFH 109 54 0 1 2.5E+03 25 1.1E+09 69.1778 56 SAFH 110 55 0 1 2.5E+03 26 9.1E+08 69.1778 57 SAFH 112 56 0 1 5.7E+03 27 5.5E+08 69.1778 58 SAFH 116 57 0 1 4.6E+03 26 1.1E+10 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 117 58 0 1 2.1E+03 26 1.2E+11 69.1778 60 SAFH 118 59 0 1 2E+03 26 5.5E+10 69.1778 61 SAFH 119 60 0 1 3.3E+03 25 6E+10 66.6328 62 SAFH 120 61 0 1 3.5E+03 26 2.7E+10 69.1778 63 SAFH 121 62 0 1 2.3E+03 26 5.4E+09 69.1778 64 SAFH 122 63 0 1 1.7E+03 26 2.7E+09 69.1778 65 SAFH 123 64 0 1 1.4E+03 26 3E+10 69.1778 66 SAFH 124 65 0 1 4.4E-05 26 1.5E+10 69.1778 67 SAFH 125 66 0 1 8.8E-05 26 7.5E+09 69.1778 68 SAFH 126 67 0 1 2.3E+03 26 1.4E+09 69.1778 69 SAFH 127 68 0 1 2.3E+03 26 3.8E+09 69.1778 70 SAFH 128 69 0 1 2.3E+03 26 6.8E+08 69.1778 71 SAFH 130 70 0 1 3.9E+03 26 2.8E+08 69.1778 72 SAFH 134 71 0 1 4.3E+03 26 1.5E+08 69.1778 73 SAFH 136 72 0 1 4E+03 26 1.4E+10 69.1778 74 SAFH 137 73 0 1 0.00013 26 6.8E+09 69.1778 75 SAFH 138 74 0 1 0.00026 26 3.4E+09 69.1778 76 SAFH 139 75 0 1 3.5E+03 25 3E+10 69.1778 77 SAFH 140 76 0 1 6.4E-05 25 1.5E+10 69.1778 78 SAFH 141 77 0 1 0.00013 25 7.5E+09 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 142 78 0 1 0.00026 25 3.8E+09 69.1778 80 SAFH 143 79 0 1 3.7E+03 25 2.3E+08 69.1778 81 SAFH 145 80 0 1 4.5E+03 26 2.3E+08 69.1778 82 SAFH 147 81 0 1 3.1E+03 25 4.1E+09 69.1778 83 SAFH 148 82 0 1 4.5E+02 25 1.7E+09 69.1778 84 SAFH 149 83 0 1 2.8E+03 26 3.3E+08 69.1778 85 SAFH 150 84 0 1 4.4E+03 26 1.1E+08 69.1778 86 SAFH 154 85 0 1 5.1E+03 26 1.8E+08 69.1778 87 SAFH 156 86 0 1 4.6E+03 25 6.9E+09 66.6328 88 SAFH 157 87 0 1 0.00014 25 3.4E+09 66.6328 89 SAFH 159 88 0 1 2.6E+03 24 1.7E+09 66.6328 90 SAFH 161 89 0 1 4.3E+03 26 3.4E+08 69.1778 91 SAFH 162 90 0 1 2.7E+03 26 6.9E+07 69.1778 92 SAFH 164 91 0 1 5.5E+03 25 2.1E+09 69.1778 93 SAFH 165 92 0 1 1.8E+03 25 8.6E+08 69.1778 94 SAFH 166 93 0 1 2.4E+03 27 1.6E+08 69.1778 95 SAFH 168 94 0 1 4.8E+03 26 5.7E+07 69.1778 96 SAFH 172 95 0 1 4.3E+03 25 2.2E+07 69.1778 97 SAFH 174 96 0 1 3.1E+03 26 4.3E+08 69.1778 98 SAFH 175 97 0 1 3.4E+03 27 8.2E+07 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 178 98 0 1 4.9E+03 26 2.9E+07 69.1778 100 SAFH 181 99 0 1 4.7E+03 26 5.7E+07 69.1778 101 SAFH 183 100 0 1 4.5E+03 25 1.1E+07 69.1778 102 SAFH 185 101 0 1 3.1E+03 26 2.1E+08 69.1778 103 SAFH 186 102 0 1 3.4E+03 27 4.1E+07 69.1778 104 SAFH 189 103 0 1 4.9E+03 26 1.4E+07 69.1778 105 SAFH 192 104 0 1 4.7E+03 26 2.9E+07 69.1778 106 SAFH 194 105 0 1 4.5E+03 25 5.6E+06 69.1778 107 SAFH 196 106 0 1 3.1E+03 26 1.1E+08 69.1778 108 SAFH 197 107 0 1 3.4E+03 27 2.1E+07 69.1778 109 SAFH 200 108 0 1 4.9E+03 26 7.1E+06 69.1778 110 SAFH 203 109 0 1 4.7E+03 26 1.4E+07 69.1778 111 SAFH 205 110 0 1 4.5E+03 25 2.8E+06 69.1778 112 SAFH 207 111 0 1 3.1E+03 26 5.3E+07 69.1778 113 SAFH 208 112 0 1 3.1E+03 27 1E+07 69.1778 114 SAFH 211 113 0 1 6.2E+03 26 2.6E+06 69.1778 115 SAFH 214 114 0 1 5.6E+03 26 2.7E+07 69.1778 116 SAFH 215 115 0 1 3.9E+03 26 5.2E+08 69.1778 117 SAFH 216 116 0 1 2E+03 25 2.6E+08 69.1778 118 SAFH 217 117 0 1 0.0023 25 1.3E+08 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 218 118 0 1 0.0046 25 6.5E+07 69.1778 120 SAFH 219 119 0 1 0.0093 25 3.2E+07 69.1778 121 SAFH 220 120 0 1 0.019 25 1.6E+07 69.1778 122 SAFH 221 121 0 1 0.037 25 8.1E+06 69.1778 123 SAFH 223 122 0 1 5E+03 25 4.3E+06 69.1778 124 SAFH 225 123 0 1 3.6E+03 26 1.7E+09 69.1778 125 SAFG 226 124 0 1 2.3E+04 0 2E-12 66.6328 125 FOUND SOLUTION: 66.6328 (NLP) in 5 sec. 126 SAFH 226 124 0 1 2E+04 24 1.7E+08 66.6328 127 SAFH 227 125 0 1 5.4E+03 26 1.2E+06 69.1778 128 SAFH 228 126 0 1 3.7E+03 25 1.3E+07 69.1778 129 SAFH 229 127 0 1 5.7E+03 25 1.9E+09 69.1778 130 SAFH 230 128 0 1 0.00084 25 9.4E+08 69.1778 131 SAFH 232 129 0 1 3.4E+03 26 3.6E+06 69.1778 132 SAFH 233 130 0 1 3.7E+03 26 1.9E+09 69.1778 133 SAFH 234 131 0 1 1.5E+03 26 8.4E+10 69.1778 134 SAFH 235 132 0 1 1.5E+03 25 3.6E+06 69.1778 135 SAFH 237 133 0 1 4.1E+03 25 4.2E+10 69.1778 136 SAFH 238 134 0 1 2.8E-05 25 2.1E+10 69.1778 137 SAFH 239 135 0 1 5.6E-05 25 1.1E+10 69.1778 138 SAFH 240 136 0 1 0.00011 25 5.3E+09 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 241 137 0 1 4.1E+03 26 4.3E+08 69.1778 140 SAFH 242 138 0 1 3.9E+03 26 1.2E+06 69.1778 141 SAFH 243 139 0 1 5.3E+03 25 2.2E+08 66.6328 142 SAFH 244 140 0 1 3.9E+03 26 4.7E+08 69.1778 143 SAFH 245 141 0 1 3.3E+03 26 8.4E+07 69.1778 144 SAFH 246 142 0 1 3.3E+03 26 2.4E+08 69.1778 145 SAFH 247 143 0 1 3.3E+03 26 4.2E+07 69.1778 146 SAFH 248 144 0 1 3.3E+03 26 1.2E+08 69.1778 147 SAFH 249 145 0 1 3.3E+03 26 2.1E+07 69.1778 148 SAFH 250 146 0 1 3.3E+03 26 5.9E+07 69.1778 149 SAFH 251 147 0 1 3.3E+03 26 1.1E+07 69.1778 150 SAFH 252 148 0 1 3.3E+03 26 2.9E+07 69.1778 151 SAFH 253 149 0 1 3.3E+03 26 5.3E+06 69.1778 152 SAFH 254 150 0 1 3.3E+03 26 1.5E+07 69.1778 153 SAFH 255 151 0 1 5E+03 26 1.8E+06 69.1778 154 SAFH 256 152 0 1 2.9E+03 26 5.1E+06 69.1778 155 SAFH 258 153 0 1 4.3E+03 26 2.8E+06 69.1778 156 SAFH 259 154 0 1 3E+03 26 2.2E+06 69.1778 157 SAFH 261 155 0 1 4.4E+03 26 1.8E+06 69.1778 158 SAFH 263 156 0 1 4.5E+03 26 8.9E+05 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 267 157 0 1 3.7E+03 26 2.6E+06 69.1778 160 SAFH 269 158 0 1 4.3E+03 26 6.6E+05 69.1778 161 SAFH 271 159 0 1 2.9E+03 26 1.1E+06 69.1778 162 SAFH 273 160 0 1 5.5E+03 25 2.9E+05 69.1778 163 SAFH 274 161 0 1 2.3E+03 25 2.9E+05 69.1778 164 SAFH 275 162 0 1 2.1E+03 24 2.6E+09 69.1778 165 SAFH 276 163 0 1 8E+02 26 1.3E+09 69.1778 166 SAFH 278 164 0 1 2.4E+03 25 1.1E+08 69.1778 167 SAFH 279 165 0 1 2.4E+03 26 6.6E+08 69.1778 168 SAFH 281 166 0 1 3.4E+03 26 5.4E+07 69.1778 169 SAFH 282 167 0 1 3E+03 26 2.6E+08 69.1778 170 SAFH 283 168 0 1 1.8E+03 25 1.3E+08 69.1778 171 SAFH 284 169 0 1 0.0028 25 6.5E+07 69.1778 172 SAFH 285 170 0 1 2.2E+03 26 6.7E+06 69.1778 173 SAFH 286 171 0 1 0.3 26 3.3E+06 69.1778 174 SAFH 287 172 0 1 2.5E+03 26 3.2E+07 69.1778 175 SAFH 288 173 0 1 2E+03 26 3.3E+08 69.1778 176 SAFH 289 174 0 1 3.2E+03 26 1.3E+06 69.1778 177 SAFH 291 175 0 1 5.3E+03 26 4E+06 69.1778 178 SAFH 292 176 0 1 0.082 26 2E+06 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 293 177 0 1 0.16 26 1E+06 69.1778 180 SAFH 294 178 0 1 3E+03 26 5.4E+05 69.1778 181 SAFH 296 179 0 1 4E+03 26 5.4E+05 69.1778 182 SAFH 297 180 0 1 2.5E+03 26 1.7E+05 69.1778 183 SAFH 298 181 0 1 2.8E+03 25 4.5E+05 69.1778 184 SAFH 299 182 0 1 3.7E+03 26 8.6E+08 69.1778 185 SAFH 300 183 0 1 0.0021 26 4.3E+08 69.1778 186 SAFH 301 184 0 1 3.4E+03 25 2.7E+05 69.1778 187 SAFH 303 185 0 1 5.1E+03 24 1.3E+06 66.6328 188 SAFH 304 186 0 1 0.2 24 6.6E+05 66.6328 189 SAFH 306 187 0 1 3.4E+03 26 7.3E+04 69.1778 190 SAFH 307 188 0 1 2.9E+03 26 1.7E+06 69.1778 191 SAFH 308 189 0 1 2.3E+03 25 1.6E+08 69.1778 192 SAFH 309 190 0 1 1.9E+03 26 8.2E+07 69.1778 193 SAFH 310 191 0 1 0.0082 26 4.1E+07 69.1778 194 SAFH 311 192 0 1 0.016 26 2.1E+07 69.1778 195 SAFH 312 193 0 1 0.033 26 1E+07 69.1778 196 SAFH 313 194 0 1 0.066 26 5.1E+06 69.1778 197 SAFH 314 195 0 1 0.13 26 2.6E+06 69.1778 198 SAFH 315 196 0 1 2.7E+03 27 3.4E+05 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 317 197 0 1 3.5E+03 26 2.1E+08 69.1778 200 SAFH 318 198 0 1 0.0051 26 1.1E+08 69.1778 201 SAFH 319 199 0 0.5 2.3E+03 26 1.6E+07 69.1778 202 SAFH 320 200 0 0.5 2.8E+03 26 5.3E+07 69.1778 203 SAFH 321 201 0 0.5 2.7E+03 26 1.6E+05 69.1778 204 SAFH 322 202 0 0.5 2.3E+03 26 3.7E+04 69.1778 205 SAFH 323 203 0 0.5 2.8E+03 25 4.5E+05 69.1778 206 SAFH 324 204 0 0.5 2.9E+03 25 8.4E+05 69.1778 207 SAFH 325 205 0 0.5 2.8E+03 26 7.3E+06 69.1778 208 SAFH 326 206 0 0.5 0.3 26 3.7E+06 69.1778 209 SAFH 327 207 0 0.5 0.59 26 1.8E+06 69.1778 210 SAFH 329 208 0 0.5 4.1E+03 26 3.3E+05 69.1778 211 SAFH 330 209 0 0.5 3.5E+03 26 6.4E+05 69.1778 212 SAFH 331 210 0 0.5 3.3E+03 26 2.7E+07 69.1778 213 SAFH 332 211 0 0.5 1.7E+03 26 1.3E+07 69.1778 214 SAFH 333 212 0 0.5 2.2E+03 25 6.7E+06 69.1778 215 SAFH 334 213 0 0.5 2.4E+03 25 3.4E+06 69.1778 216 SAFH 335 214 0 0.5 1.9E+03 26 1.7E+06 69.1778 217 SAFH 336 215 0 0.5 2.8E+03 26 8.4E+05 69.1778 218 SAFH 337 216 0 0.5 1.6E+03 26 4.2E+05 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 339 217 0 0.5 3E+03 26 2.1E+05 69.1778 220 SAFH 342 218 0 0.5 4.4E+03 26 9.4E+08 69.1778 221 SAFH 343 219 0 0.5 0.00077 26 4.7E+08 69.1778 222 SAFH 344 220 0 0.5 0.0015 26 2.4E+08 69.1778 223 SAFH 345 221 0 0.5 0.0031 26 1.2E+08 69.1778 224 SAFH 346 222 0 0.5 0.0062 26 5.9E+07 69.1778 225 SAFH 347 223 0 0.5 2.7E+03 26 2.9E+07 69.1778 226 SAFH 348 224 0 0.5 0.066 26 1.5E+07 69.1778 227 SAFH 349 225 0 0.5 2.6E+03 26 4.2E+05 69.1778 228 SAFH 350 226 0 0.5 5.2E+03 26 3.2E+05 69.1778 229 SAFH 351 227 0 0.5 3.9E+03 26 1.3E+05 69.1778 230 SAFH 355 228 0 0.5 5E+03 26 8.2E+04 69.1778 231 SAFH 359 229 0 0.5 6.2E+03 25 7.3E+06 69.1778 232 SAFH 360 230 0 0.5 0.21 25 3.7E+06 69.1778 233 SAFH 361 231 0 0.5 0.43 25 1.8E+06 69.1778 234 SAFH 362 232 0 0.5 2.8E+03 26 9.2E+05 69.1778 235 SAFH 364 233 0 0.5 2E+03 26 3.2E+05 69.1778 236 SAFH 366 234 0 0.5 4.9E+03 26 2.7E+05 69.1778 237 SAFH 367 235 0 0.5 2.5E+03 25 2.2E+05 69.1778 238 SAFH 369 236 0 0.5 3.4E+03 26 1.6E+05 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 371 237 0 0.5 4.8E+03 26 6.7E+04 69.1778 240 SAFH 376 238 0 0.5 5.1E+03 25 4.6E+05 69.1778 241 SAFH 377 239 0 0.5 2.5E+03 26 1.1E+05 69.1778 242 SAFH 380 240 0 0.5 7.2E+03 25 6.7E+04 69.1778 243 SAFH 381 241 0 0.5 3.8E+03 26 5.6E+04 69.1778 244 SAFH 382 242 0 0.5 3.7E+03 27 1.7E+05 69.1778 245 SAFH 383 243 0 0.5 2.2 27 8.2E+04 69.1778 246 SAFH 384 244 0 0.5 2.2E+03 26 3.4E+04 69.1778 247 SAFH 388 245 0 0.5 4.2E+03 27 3.8E+04 69.1778 248 SAFH 390 246 0 0.5 3.8E+03 26 2.8E+04 69.1778 249 SAFH 393 247 0 0.5 4.7E+03 26 2.8E+04 69.1778 250 SAFH 394 248 0 0.5 3.1E+03 26 3E+05 69.1778 251 SAFH 395 249 0 0.5 2.5E+03 26 1.7E+04 69.1778 252 SAFH 399 250 0 0.5 5.8E+03 25 5.2E+04 66.6328 253 SAFH 403 251 0 0.5 6.3E+03 27 1.5E+05 69.1778 254 SAFH 404 252 0 0.5 4.6 27 7.6E+04 69.1778 255 SAFH 405 253 0 0.5 9.1 27 3.8E+04 69.1778 256 SAFH 406 254 0 0.5 18 27 1.9E+04 69.1778 257 SAFH 410 255 0 0.5 6E+03 26 9.2E+05 69.1778 258 SAFH 411 256 0 0.5 3.2 26 4.6E+05 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 412 257 0 0.5 6.3 26 2.3E+05 69.1778 260 SAFH 413 258 0 0.5 13 26 1.1E+05 69.1778 261 SAFH 415 259 0 0.5 2.5E+03 25 1.4E+04 69.1778 262 SAFH 417 260 0 0.5 5.6E+03 26 4E+04 69.1778 263 SAFH 418 261 0 0.5 3.2E+03 26 1.3E+04 69.1778 264 SAFH 421 262 0 0.5 5.5E+03 27 9.3E+03 69.1778 265 SAFH 424 263 0 0.5 5.1E+03 25 2.3E+05 67.3117 266 SAFH 425 264 0 0.5 8.9 25 1.1E+05 67.3117 267 SAFH 427 265 0 0.5 15 25 5.7E+04 67.3117 268 SAFH 429 266 0 0.5 3.1E+03 25 2E+04 69.1778 269 SAFH 431 267 0 0.5 3.2E+03 25 2.8E+04 69.1778 270 SAFH 432 268 0 0.5 4.8E+03 26 5.3E+03 69.1778 271 SAFH 437 269 0 0.5 5.1E+03 26 2.6E+04 69.1778 272 SAFH 438 270 0 0.5 3.6E+03 26 7.7E+03 69.1778 273 SAFH 440 271 0 0.5 3.5E+03 26 3.3E+03 69.1778 274 SAFH 443 272 0 0.5 5.2E+03 26 2.1E+04 69.1778 275 SAFH 445 273 0 0.5 4.5E+03 26 4E+03 69.1778 276 SAFH 449 274 0 0.5 5.5E+03 26 5.9E+03 69.1778 277 SAFH 451 275 0 0.5 4.4E+03 25 1.8E+03 66.6328 278 SAFH 455 276 0 0.5 5.1E+03 26 1.3E+04 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 457 277 0 0.5 3.3E+03 27 1.9E+03 69.1778 280 SAFH 461 278 0 0.5 5.2E+03 26 2.7E+07 69.1778 281 SAFH 462 279 0 0.5 0.058 26 1.3E+07 69.1778 282 SAFH 463 280 0 0.5 0.12 26 6.7E+06 69.1778 283 SAFH 464 281 0 0.5 0.23 26 3.3E+06 69.1778 284 SAFH 465 282 0 0.5 0.46 26 1.7E+06 69.1778 285 SAFH 466 283 0 0.5 0.92 26 8.4E+05 69.1778 286 SAFH 467 284 0 0.5 2.3E+03 26 2.8E+03 69.1778 287 SAFH 469 285 0 0.5 3.8E+03 26 6.4E+03 69.1778 288 SAFH 470 286 0 0.5 4.1E+03 25 1E+04 66.6328 289 SAFH 471 287 0 0.5 3.3E+03 25 6.2E+03 66.6328 290 SAFH 473 288 0 0.5 4.4E+03 26 1.9E+03 69.1778 291 SAFH 475 289 0 0.5 2.1E+03 26 8.9E+02 69.1778 292 SAFH 482 290 0 0.5 8.3E+03 26 1.3E+03 69.1778 293 SAFH 484 291 0 0.5 2.4E+04 27 4.9E+02 69.1778 294 SAFH 489 292 0 0.5 4E+03 27 5E+03 69.1778 295 SAFH 490 293 0 0.5 3.6E+03 27 8.3E+02 69.1778 296 SAFH 493 294 0 0.5 5.4E+03 27 2.4E+03 69.1778 297 SAFH 494 295 0 0.5 78 27 1.2E+03 69.1778 298 SAFH 495 296 0 0.5 2.6E+02 27 6.4E+02 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 498 297 0 0.5 1.6E+04 27 5.7E+02 69.1778 300 SAFH 500 298 0 0.5 1.1E+04 27 7.3E+02 69.1778 301 SAFH 501 299 0 0.5 1.3E+03 27 3.6E+02 69.1778 302 SAFH 508 300 0 0.5 1.1E+04 26 3.7E+02 69.1778 303 SAFH 513 301 0 0.5 2.4E+04 27 2.1E+02 69.1778 304 SAFH 519 302 0 0.5 3.2E+03 27 87 69.1778 305 SAFH 530 303 0 0.5 4.7E+03 27 1.1E+03 69.1778 306 SAFH 531 304 0 0.5 4.3E+03 27 3.5E+02 69.1778 307 SAFH 533 305 0 0.5 5.7E+03 25 2.2E+02 67.3117 308 SAFH 538 306 0 0.5 2.3E+04 27 1.2E+03 69.1778 309 SAFH 539 307 0 0.5 17 27 4.4E+02 69.1778 310 SAFH 540 308 0 0.5 2.3E+04 26 2.3E+02 69.1778 311 SAFH 543 309 0 0.5 8.5E+03 27 2.6E+03 69.1778 312 SAFH 544 310 0 0.5 8.9E+03 26 3.3E+02 67.3117 313 SAFH 546 311 0 0.5 2.3E+04 25 2.2E+02 66.6328 314 SAFH 547 312 0 0.5 7.9E+03 26 2E+02 69.1778 315 SAFH 548 313 0 0.5 8.7E+03 26 1.3E+02 69.1778 316 SAFH 555 314 0 0.5 1.8E+04 27 1.4E+03 69.1778 317 SAFH 556 315 0 0.5 6.4E+03 27 69 69.1778 318 SAFH 560 316 0 0.5 8.3E+03 27 80 69.1778 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 565 317 0 0.5 2.1E+04 26 65 69.1778 320 SAFH 569 318 0 0.5 2.1E+04 26 1E+02 69.1778 321 SAFH 570 319 0 0.5 8.9E+02 26 47 69.1778 322 SAFH 575 320 0 0.5 8E+03 25 3E+02 66.6328 323 SAFH 576 321 0 0.5 2E+04 25 46 66.6328 324 SAFH 580 322 0 0.5 4E+03 26 68 66.6328 325 SAFH 582 323 0 0.5 4E+03 27 41 69.1778 326 SAFH 589 324 0 0.5 6E+03 25 2.3E+02 66.6328 327 SAFG 591 325 0 0.5 1.7E+04 0 3.6E-10 64.7666 327 FOUND SOLUTION: 64.7666 (NLP) in 17 sec. 328 SAFH 591 325 0 0.5 6.1E+02 24 99 64.7666 329 SAFH 592 326 0 0.5 1.7E+04 25 34 66.6328 330 SAFH 596 327 0 0.5 6.1E+03 25 61 69.1778 331 SAFH 597 328 0 0.5 5.9E+03 26 5.2E+02 69.1778 332 SAFH 598 329 0 0.5 9.2E+03 25 39 66.6328 333 SAFH 600 330 0 0.5 8.7E+03 26 55 69.1778 334 SAFH 602 331 0 0.5 2.1E+04 24 1.2E+02 69.1778 335 SAFH 603 332 0 0.5 5.6E+03 25 1.1E+02 69.1778 336 SAFH 604 333 0 0.5 1.9E+04 25 64 69.1778 337 SAFH 605 334 0 0.5 1.1E+04 25 3.9E+03 69.1778 338 SAFH 606 335 0 0.5 1E+04 25 54 66.6328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 607 336 0 0.5 7.5E+03 25 21 69.1778 340 SAFH 613 337 0 0.5 1.7E+04 26 4.1E+02 67.3117 341 SAFH 615 338 0 0.5 2.1E+04 26 86 66.6328 342 SAFH 616 339 0 0.5 6.3E+03 25 12 69.1778 343 SAFH 623 340 0 0.5 5.3E+03 27 18 69.1778 344 SAFH 626 341 0 0.5 3.7E+03 26 23 66.6328 345 SAFH 629 342 0 0.5 2.7E+03 26 33 66.6328 346 SAFH 630 343 0 0.5 8.4E+03 25 2E+02 67.3117 347 SAFH 632 344 0 0.5 1.5E+04 24 27 69.1778 348 SAFH 634 345 0 0.5 9.4E+02 24 16 69.1778 349 SAFH 636 346 0 0.5 2E+04 27 24 69.1778 350 SAFH 640 347 0 0.5 2E+04 26 2.4E+02 69.1778 351 SAFH 641 348 0 0.5 2.9E+03 24 26 69.1778 352 SAFH 644 349 0 0.5 1.9E+04 25 8.6 69.1778 353 SAFG 649 350 0 0.5 2E+04 0 1.3E-10 63.6892 353 FOUND SOLUTION: 63.6892 (NLP) in 19 sec. 354 SAFH 649 350 0 0.5 2.1E+02 24 16 63.6892 355 SAFH 655 351 0 0.5 1.9E+04 24 15 69.1778 356 SAFH 659 352 0 0.5 2.5E+03 25 30 69.1778 357 SAFH 661 353 0 0.5 2.1E+04 25 28 66.6328 358 SAFH 663 354 0 0.5 2.4E+03 25 16 66.6328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 665 355 0 0.5 3.8E+03 26 11 69.1778 360 SAFH 669 356 0 0.5 4.9E+03 24 18 64.7666 361 SAFH 670 357 0 0.5 4.3E+03 26 8.3 69.1778 362 SAFH 675 358 0 0.5 6.7E+03 25 1.5E+02 66.6328 363 SAFH 676 359 0 0.5 4.3E+03 25 16 66.6328 364 SAFH 679 360 0 0.5 3.7E+03 25 5.2 69.1778 365 SAFH 681 361 0 0.5 2.1E+03 26 4.8 69.1778 366 SAFH 688 362 0 0.5 4.3E+03 25 53 67.3117 367 SAFH 689 363 0 0.5 1.8E+04 24 11 67.3117 368 SAFH 694 364 0 0.5 2E+04 26 14 69.1778 369 SAFH 695 365 0 0.5 1.3E+04 24 5.6E+02 66.6328 370 SAFH 696 366 0 0.5 1.3E+04 25 4.4 69.1778 371 SAFH 703 367 0 0.5 2E+04 25 5 69.1778 372 SAFH 708 368 0 0.5 1.7E+03 25 3.5 69.1778 373 SAFH 716 369 0 0.5 2E+04 25 39 69.1778 374 SAFH 717 370 0 0.5 2.8E+03 26 7.5 69.1778 375 SAFH 720 371 0 0.5 2.6E+03 26 9.3 69.1778 376 SAFH 721 372 0 0.5 2E+03 26 11 69.1778 377 SAFH 722 373 0 0.5 4.6E+03 26 8.4 66.6328 378 SAFH 725 374 0 0.5 1.9E+04 26 90 66.6328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 726 375 0 0.5 6.4E+03 26 39 69.1778 380 SAFH 727 376 0 0.5 1.2E+03 27 7.1 69.1778 381 SAFH 730 377 0 0.5 2.5E+03 24 4 69.1778 382 SAFH 733 378 0 0.5 1.8E+04 25 2.6 69.1778 383 SAFH 742 379 0 0.5 2.1E+04 26 9.2 69.1778 384 SAFH 746 380 0 0.5 1.8E+04 26 47 69.1778 385 SAFH 747 381 0 0.5 7.5E+03 24 3.7E+02 69.1778 386 SAFH 748 382 0 0.5 7.5E+02 24 1.1E+02 69.1778 387 SAFH 749 383 0 0.5 4.3E+02 24 31 69.1778 388 SAFH 750 384 0 0.5 9E+02 24 7.3 69.1778 389 SAFH 752 385 0 0.5 2.1E+04 23 6.8 69.1778 390 SAFH 755 386 0 0.5 6.7E+03 26 4.7E+02 66.6328 391 SAFH 756 387 0 0.5 1.8E+04 26 1.1E+02 67.3117 392 SAFH 757 388 0 0.5 2E+04 25 79 63.6892 393 SAFH 758 389 0 0.5 2.1E+04 25 1E+02 67.3117 394 SAFH 759 390 0 0.5 2E+04 24 4.1 66.6328 395 SAFH 763 391 0 0.5 2.1E+04 26 4.5 69.1778 396 SAFH 768 392 0 0.5 3.1E+03 25 8.7 69.1778 397 SAFH 769 393 0 0.5 1.6E+03 26 3.6 69.1778 398 SAFH 772 394 0 0.5 1E+04 25 21 66.6328 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 774 395 0 0.5 8.8E+03 24 2.2 66.6328 400 SAFH 778 396 0 0.5 2.9E+03 24 16 66.6328 401 SAFG 779 397 0 0.3 1.4E+04 0 1.4E-09 59.3981 401 FOUND SOLUTION: 59.3981 (NLP) in 25 sec. 402 SAFH 779 397 0 0.3 6.2E+02 24 89 59.3981 403 SAFH 780 398 0 0.3 1.6E+04 23 1.8E+02 57.1156 404 SAFH 783 399 0 0.3 1.5E+04 24 33 62.5433 405 SAFH 784 400 0 0.3 2E+04 22 2.1E+02 53.154 406 SAFH 787 401 0 0.3 1.9E+04 23 39 57.3308 407 SAFH 788 402 0 0.3 1.6E+04 24 1.9E+02 59.2427 408 SAFH 790 403 0 0.3 1.5E+04 22 92 55.0573 409 SAFH 791 404 0 0.3 1.8E+03 22 39 55.0573 410 SAFH 795 405 0 0.3 1.8E+04 22 1.2E+02 57.5883 411 SAFG 796 406 0 0.3 4E+03 0 3.3E-08 57.5883 411 FOUND SOLUTION: 57.5883 (NLP) in 32 sec. 412 SAFH 796 406 0 0.3 2E+02 22 34 57.5883 413 SAFH 798 407 0 0.3 1.7E+04 25 54 62.6377 414 SAFH 801 408 0 0.3 1.4E+04 25 1.1E+02 62.6377 415 SAFH 802 409 0 0.3 1.8 25 55 62.6377 416 SAFH 804 410 0 0.3 2.1E+04 24 17 62.4731 417 SAFH 806 411 0 0.3 2.1E+04 25 6.9 66.2343 418 SAFH 808 412 0 0.3 2.1E+04 24 57 59.3037 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 809 413 0 0.3 30 24 18 59.3037 420 SAFH 813 414 0 0.3 1.2E+04 22 1.3E+03 57.1909 421 SAFH 814 415 0 0.3 1.3E+04 22 28 52.7636 422 SAFH 816 416 0 0.3 2.8E+02 22 8.8 52.7636 423 SAFH 824 417 0 0.3 1.6E+04 25 8.1 62.5433 424 SAFH 830 418 0 0.3 1E+04 23 71 57.3722 425 SAFH 832 419 0 0.3 1.5E+04 22 23 56.0031 426 SAFH 834 420 0 0.3 1.5E+04 23 56 59.1726 427 SAFH 837 421 0 0.3 2E+04 24 3.6 65.8438 428 SAFH 839 422 0 0.3 1.6E+04 23 14 57.1156 429 SAFH 841 423 0 0.3 2.6E+02 23 3.8 57.1156 430 SAFH 845 424 0 0.3 1.6E+04 25 19 62.9947 431 SAFH 849 425 0 0.3 1.9E+04 23 92 63.2095 432 SAFH 850 426 0 0.3 5.5E+02 24 4.6E+02 63.2095 433 SAFH 851 427 0 0.3 1.4E+04 24 12 63.2095 434 SAFH 852 428 0 0.3 2.1E+04 24 8.5 65.8438 435 SAFH 854 429 0 0.3 2E+04 20 5.4E+02 53.3457 436 SAFH 856 430 0 0.3 1.7E+04 25 4.9 62.9003 437 SAFH 857 431 0 0.3 2.2E+04 23 9.3 60.7577 438 SAFH 859 432 0 0.3 7.1E+03 23 18 60.7577 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 863 433 0 0.3 1.4E+04 25 1.5E+02 62.6377 440 SAFH 865 434 0 0.3 2E+04 25 3.1 62.9003 441 SAFH 870 435 0 0.3 2E+04 23 49 61.053 442 SAFH 871 436 0 0.3 6.8E+03 24 7 62.6042 443 SAFH 875 437 0 0.3 1.9E+04 24 3.8 63.514 444 SAFG 877 438 0 0.3 1.9E+04 0 3.6E-08 56.8196 444 FOUND SOLUTION: 56.8196 (NLP) in 58 sec. 445 SAFH 877 438 0 0.3 2.2E+02 22 38 56.8196 446 SAFH 878 439 0 0.3 1.7E+04 24 1.6 62.6042 447 SAFH 886 440 0 0.3 1.9E+04 23 73 59.8053 448 SAFH 887 441 0 0.3 7.4E+02 23 19 59.8053 449 SAFH 888 442 0 0.3 9.9E+03 23 28 59.8053 450 SAFG 889 443 0 0.3 7.8E+03 0 5.2E-10 54.5739 450 FOUND SOLUTION: 54.5739 (NLP) in 63 sec. 451 SAFH 889 443 0 0.3 44 21 3.5 54.5739 452 SAFH 894 444 0 0.3 1.7E+04 21 51 55.6629 453 SAFH 895 445 0 0.3 2.9E+02 21 11 55.6629 454 SAFH 899 446 0 0.3 2.1E+04 22 4.2 60.3728 455 SAFH 902 447 0 0.3 1.3E+04 21 3.8 54.1247 456 SAFH 905 448 0 0.3 1.6E+04 21 1.9 57.8134 457 SAFH 910 449 0 0.3 1.1E+04 26 14 65.8773 458 SAFH 913 450 0 0.3 1.2E+04 22 4 59.9364 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 917 451 0 0.3 6.5E+03 26 17 65.8438 460 SAFH 918 452 0 0.3 1.9E+04 24 28 62.9003 461 SAFH 919 453 0 0.3 1E+04 25 1.3E+02 62.9003 462 SAFH 920 454 0 0.3 8.8E+02 25 9.4 62.9003 463 SAFH 922 455 0 0.3 1.7E+04 23 17 61.3594 464 SAFH 923 456 0 0.3 1.8E+04 23 3.1 62.0383 465 SAFH 926 457 0 0.3 2.2E+04 20 53 55.2725 466 SAFH 927 458 0 0.3 1.8E+04 23 4.4 65.8438 467 SAFH 929 459 0 0.3 3.6E+02 23 1.7 65.8438 468 SAFH 936 460 0 0.3 1.9E+04 19 13 52.7636 469 SAFH 938 461 0 0.3 1.9E+04 23 32 63.8806 470 SAFH 940 462 0 0.3 2.2E+04 24 3.7 61.3098 471 SAFH 944 463 0 0.3 1.6E+04 24 2E+02 65.8438 472 SAFH 946 464 0 0.3 2.4E+03 24 43 65.8438 473 SAFH 947 465 0 0.3 1E+03 24 10 65.8438 474 SAFH 949 466 0 0.3 8E+03 24 66 65.8438 475 SAFH 952 467 0 0.3 1.7E+04 24 2.8 65.7127 476 SAFH 958 468 0 0.3 7.7E+03 25 1.8 62.9003 477 SAFH 964 469 0 0.3 1.9E+04 21 5 53.154 478 SAFH 967 470 0 0.3 1.7E+04 22 23 59.0227 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 968 471 0 0.3 1.9E+04 22 2.3 63.1717 480 SAFH 973 472 0 0.3 1.9E+04 24 5.4 65.8438 481 SAFH 974 473 0 0.3 2E+04 24 2.5 62.9003 482 SAFH 978 474 0 0.3 1.9E+04 25 37 62.6042 483 SAFH 979 475 0 0.3 2.3E+02 25 19 62.6042 484 SAFH 981 476 0 0.3 1.4E+04 21 12 59.9791 485 SAFG 984 477 0 0.3 1.6E+04 0 2E-09 53.6756 485 FOUND SOLUTION: 53.6756 (NLP) in 95 sec. 486 SAFH 984 477 0 0.3 79 21 7.9 53.6756 487 SAFH 987 478 0 0.3 6.3E+03 21 7 52.7636 488 SAFH 989 479 0 0.3 1.5E+04 26 4.4 65.8438 489 SAFH 991 480 0 0.3 1.7E+04 20 13 55.2725 490 SAFG 993 481 0 0.3 1.7E+04 0 2E-09 52.6324 490 FOUND SOLUTION: 52.6324 (NLP) in 100 sec. 491 SAFH 993 481 0 0.3 42 19 3.6 52.6324 492 SAFH 997 482 0 0.3 2E+04 24 1.2 65.8438 493 SAFH 1001 483 0 0.3 1.9E+04 20 3.5 53.7343 494 SAFH 1004 484 0 0.3 1.9E+04 23 1.7 63.1717 495 SAFH 1007 485 0 0.3 1.9E+04 24 2.5 65.8438 496 SAFH 1009 486 0 0.3 2.3E+04 21 29 57.1759 497 SAFH 1011 487 0 0.3 1.9E+04 20 81 55.2725 498 SAFH 1012 488 0 0.3 1.4E+04 20 2 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 1017 489 0 0.3 1.8E+04 24 39 62.6377 500 SAFH 1018 490 0 0.3 1.8 24 4.6 62.6377 501 SAFH 1021 491 0 0.3 1.8E+04 24 7.4 59.5997 502 SAFH 1024 492 0 0.3 1.7E+02 24 3.2 59.5997 503 SAFH 1027 493 0 0.3 1.7E+04 21 1.8 52.7636 504 SAFH 1031 494 0 0.3 1.1E+04 22 2E+02 54.1945 505 SAFH 1032 495 0 0.3 1.5E+03 22 59 54.1945 506 SAFH 1033 496 0 0.3 9.4E+02 22 22 54.1945 507 SAFH 1035 497 0 0.3 1.4E+03 22 32 54.1945 508 SAFH 1037 498 0 0.3 2.3E+03 22 90 54.1945 509 SAFH 1038 499 0 0.3 1.9E+04 23 3.3 58.6378 510 SAFH 1039 500 0 0.3 1.4E+04 23 20 57.2686 511 SAFH 1040 501 0 0.3 4.3E+02 21 6.5 57.2686 512 SAFH 1043 502 0 0.3 1.6E+04 24 1.3 65.8438 513 SAFH 1046 503 0 0.3 1.8E+04 21 2.2 52.7636 514 SAFH 1050 504 0 0.3 2.3E+03 21 2.1 52.7636 515 SAFH 1052 505 0 0.3 1.8E+04 23 1.9 63.514 516 SAFH 1057 506 0 0.3 1.8E+04 24 1.3 65.8438 517 SAFH 1062 507 0 0.3 1.3E+04 21 0.96 52.7636 518 SAFH 1068 508 0 0.3 9.3E+03 24 3.1 60.2744 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 1070 509 0 0.3 1.8E+04 24 44 59.1726 520 SAFH 1072 510 0 0.3 3.1E+03 24 12 59.1726 521 SAFH 1074 511 0 0.3 1.5E+04 21 1.1 52.7636 522 SAFH 1077 512 0 0.3 1E+04 21 22 58.5121 523 SAFH 1079 513 0 0.3 9.9E+03 21 2.5 52.7636 524 SAFH 1080 514 0 0.3 1.7E+04 22 0.94 63.9776 525 SAFH 1086 515 0 0.3 1.9E+04 23 1.4 65.8438 526 SAFH 1093 516 0 0.3 1.7E+04 19 8.7 53.7343 527 SAFH 1094 517 0 0.3 1.9E+04 25 2.6 62.9003 528 SAFH 1096 518 0 0.3 98 25 1.2 62.9003 529 SAFH 1100 519 0 0.3 6.4E+03 23 2 57.1156 530 SAFH 1104 520 0 0.3 6.5E+03 25 1.8 62.9003 531 SAFH 1105 521 0 0.3 1.7E+04 24 7.3 62.6377 532 SAFH 1107 522 0 0.3 2.1E+04 24 15 65.8438 533 SAFH 1110 523 0 0.3 3.8E+03 24 20 65.8438 534 SAFH 1113 524 0 0.3 2E+04 24 1.8 62.6377 535 SAFH 1119 525 0 0.3 2E+04 21 4 53.7343 536 SAFH 1123 526 0 0.3 5.2E+03 19 5 53.7343 537 SAFH 1125 527 0 0.3 1.8E+04 24 1.6 65.8438 538 SAFH 1129 528 0 0.3 1.8E+04 24 57 63.1717 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 1130 529 0 0.3 1.6E+04 23 1.5 62.5433 540 SAFH 1133 530 0 0.3 1.5E+04 19 0.75 52.7636 541 SAFH 1138 531 0 0.3 1.6E+04 24 2 59.5997 542 SAFH 1141 532 0 0.3 1.9E+04 23 1.6 65.8438 543 SAFH 1142 533 0 0.3 2E+04 23 3.7 57.1156 544 SAFH 1143 534 0 0.3 1.7E+04 24 8.5 59.2427 545 SAFH 1145 535 0 0.3 1.8E+04 24 0.94 65.9383 546 SAFH 1149 536 0 0.3 1.5E+04 22 3.8 62.6042 547 SAFH 1153 537 0 0.3 1.2E+04 18 0.69 52.7636 548 SAFH 1159 538 0 0.3 1.8E+04 23 1.2 65.8438 549 SAFH 1163 539 0 0.3 1.8E+04 24 9.1 65.8438 550 SAFH 1165 540 0 0.3 1.7E+04 23 43 62.6377 551 SAFH 1166 541 0 0.3 84 23 2.9 62.6377 552 SAFH 1169 542 0 0.3 1.5E+04 20 1.9 53.7343 553 SAFH 1170 543 0 0.3 4.1E+03 21 2 53.7343 554 SAFH 1173 544 0 0.3 5.2E+03 20 1.3 52.7636 555 SAFH 1177 545 0 0.3 2E+04 23 0.75 65.7127 556 SAFH 1184 546 0 0.3 2E+04 21 34 59.2427 557 SAFH 1185 547 0 0.3 1.6E+04 21 6.6 54.1945 558 SAFH 1187 548 0 0.3 1.1E+04 21 5.3 53.9095 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 1190 549 0 0.3 5.3E+02 20 2.2 53.9095 560 SAFH 1192 550 0 0.3 1.9E+04 24 1.6 65.7127 561 SAFH 1194 551 0 0.3 2.1E+04 24 18 59.8671 562 SAFH 1195 552 0 0.3 3.6E+03 24 2.8 59.8671 563 SAFH 1197 553 0 0.3 1.8E+04 18 0.82 52.7636 564 SAFH 1201 554 0 0.3 1.6E+04 25 2 62.6377 565 SAFH 1204 555 0 0.3 1.6E+04 20 0.56 52.7636 566 SAFH 1213 556 0 0.3 1.7E+04 24 28 62.6377 567 SAFH 1214 557 0 0.3 0.41 25 13 62.6377 568 SAFH 1215 558 0 0.3 2.1E+04 25 29 62.9003 569 SAFH 1216 559 0 0.3 2.4E+02 25 2.7 62.9003 570 SAFH 1217 560 0 0.3 1.8E+04 22 0.72 65.8438 571 SAFH 1224 561 0 0.3 1.9E+04 23 27 65.8438 572 SAFH 1225 562 0 0.3 1.8E+04 23 2.3 60.6267 573 SAFH 1227 563 0 0.3 2E+04 23 9.5 63.6892 574 SAFH 1228 564 0 0.3 1.9E+04 21 0.59 52.7636 575 SAFH 1233 565 0 0.3 2.2E+04 25 16 66.2343 576 SAFH 1235 566 0 0.3 2.2E+04 24 9 62.6042 577 SAFH 1236 567 0 0.3 1.6E+04 20 2.5 53.154 578 SAFH 1237 568 0 0.3 1.6E+04 23 6.6 62.4121 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 1238 569 0 0.3 0.1 23 1.4 62.4121 580 SAFH 1242 570 0 0.3 2.1E+04 24 4.1 65.8438 581 SAFH 1245 571 0 0.3 1.7E+04 25 98 62.9003 582 SAFH 1246 572 0 0.3 1.6E+04 22 93 55.0573 583 SAFH 1247 573 0 0.3 8.4E+03 22 90 55.0573 584 SAFH 1248 574 0 0.3 4.5E+03 22 4.6 55.0573 585 SAFH 1249 575 0 0.3 7.4E+03 22 79 55.0573 586 SAFH 1250 576 0 0.3 5.5 22 20 55.0573 587 SAFH 1251 577 0 0.3 1.8E+04 24 35 65.8438 588 SAFH 1252 578 0 0.3 1.8E+04 21 4.7 53.7343 589 SAFH 1254 579 0 0.3 1.7E+04 22 0.74 62.5433 590 SAFH 1258 580 0 0.3 2E+04 25 22 62.9003 591 SAFH 1260 581 0 0.3 1.5E+04 21 0.93 59.2427 592 SAFH 1264 582 0 0.3 1.6E+04 20 15 53.7343 593 SAFH 1265 583 0 0.3 1.5E+03 21 1.4 53.7343 594 SAFH 1267 584 0 0.3 1.1E+03 21 0.97 53.7343 595 SAFH 1270 585 0 0.3 1.3E+04 26 6.2 65.8438 596 SAFH 1271 586 0 0.3 1.2E+04 25 23 62.6042 597 SAFH 1272 587 0 0.3 1.8E+04 24 0.47 65.8438 598 SAFH 1282 588 0 0.3 1.8E+04 20 0.51 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 1285 589 0 0.3 2.3E+03 20 0.87 52.7636 600 SAFH 1288 590 0 0.3 1.2E+02 20 0.55 52.7636 601 SAFH 1291 591 0 0.3 6.2E+03 21 0.52 53.7343 602 SAFH 1295 592 0 0.3 5.2E+03 20 0.66 52.7636 603 SAFH 1299 593 0 0.3 2.1E+04 24 2.6E+02 65.7127 604 SAFH 1300 594 0 0.3 2E+04 24 13 59.3037 605 SAFH 1302 595 0 0.3 1.8E+04 22 8.3 62.4731 606 SAFH 1303 596 0 0.3 0.17 22 1.9 62.4731 607 SAFH 1305 597 0 0.3 1.7E+04 18 0.4 52.7636 608 SAFH 1309 598 0 0.3 2E+04 24 1.3 63.9044 609 SAFH 1312 599 0 0.3 2.1E+04 22 8.7 63.514 610 SAFH 1313 600 0 0.3 1.8E+04 18 5.4 52.6324 611 SAFH 1315 601 0 0.3 57 18 2.1 52.6324 612 SAFH 1318 602 0 0.3 2.2E+04 24 5.8 62.9003 613 SAFH 1319 603 0 0.3 1.2 24 0.82 62.9003 614 SAFH 1322 604 0 0.3 1.8E+04 23 12 57.1491 615 SAFH 1324 605 0 0.3 1.2E+04 20 0.5 52.7636 616 SAFH 1329 606 0 0.3 1.8E+04 25 0.57 62.9003 617 SAFH 1334 607 0 0.3 1.9E+04 20 4.6 53.154 618 SAFH 1335 608 0 0.3 1.9E+04 25 0.54 62.9003 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 1340 609 0 0.3 1.7E+04 22 3.4 53.519 620 SAFH 1344 610 0 0.3 8E+02 22 1.3 53.519 621 SAFH 1352 611 0 0.3 1.8E+04 23 0.81 65.8438 622 SAFH 1354 612 0 0.3 1.5E+04 22 3.1 57.9446 623 SAFH 1356 613 0 0.3 1.3E+02 22 0.79 57.9446 624 SAFH 1361 614 0 0.3 1.6E+04 22 0.86 53.154 625 SAFH 1364 615 0 0.3 1.6E+04 21 37 57.8134 626 SAFH 1365 616 0 0.3 1.5E+04 21 0.86 57.8134 627 SAFH 1366 617 0 0.3 2E+04 24 1.4 66.2343 628 SAFH 1369 618 0 0.3 2E+04 26 5.8 65.8438 629 SAFH 1371 619 0 0.3 1.5E+04 19 0.78 52.7636 630 SAFH 1372 620 0 0.3 90 19 0.28 52.7636 631 SAFH 1378 621 0 0.3 1.6E+04 23 6 57.1156 632 SAFH 1379 622 0 0.3 3.6E+02 23 2.3 57.1156 633 SAFH 1380 623 0 0.3 1.5E+04 20 0.26 52.7636 634 SAFH 1388 624 0 0.3 1.8E+04 23 5.1 63.9776 635 SAFH 1389 625 0 0.3 1.8E+04 24 5.4 65.8438 636 SAFH 1393 626 0 0.3 2E+04 23 0.75 65.7127 637 SAFH 1397 627 0 0.3 1.1E+02 23 0.36 65.7127 638 SAFH 1403 628 0 0.3 2.1E+04 25 0.41 62.9003 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 1408 629 0 0.3 8.1E+03 25 4.2 62.9003 640 SAFH 1409 630 0 0.3 92 25 1.5 62.9003 641 SAFH 1412 631 0 0.3 1.6E+04 20 8 56.9739 642 SAFH 1414 632 0 0.3 1.8E+04 25 0.58 62.9003 643 SAFH 1419 633 0 0.3 1.9E+04 21 0.43 52.7636 644 SAFH 1421 634 0 0.3 1.7E+04 21 0.68 61.1841 645 SAFH 1424 635 0 0.3 1.9E+04 19 1 53.154 646 SAFH 1427 636 0 0.3 8.6E+03 19 1.1 53.7343 647 SAFH 1430 637 0 0.3 8.5E+03 19 2.5 53.154 648 SAFH 1431 638 0 0.3 64 19 0.96 53.154 649 SAFH 1433 639 0 0.3 2E+04 25 0.39 62.9003 650 SAFH 1437 640 0 0.3 1.8E+04 19 0.42 52.7636 651 SAFH 1441 641 0 0.3 1.8E+04 25 0.11 62.9003 652 SAFH 1453 642 0 0.3 1.9E+04 19 0.75 53.7343 653 SAFH 1455 643 0 0.3 8.6E+03 17 2.6 52.6324 654 SAFH 1456 644 0 0.3 56 17 0.68 52.6324 655 SAFH 1459 645 0 0.3 2.2E+04 25 1.2 62.9003 656 SAFH 1460 646 0 0.3 36 25 0.26 62.9003 657 SAFH 1464 647 0 0.3 2.2E+04 17 0.55 52.6324 658 SAFH 1466 648 0 0.3 1.9E+04 23 27 58.6378 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 1467 649 0 0.3 1.6E+04 19 0.23 52.7636 660 SAFH 1472 650 0 0.3 5.1E+03 20 2.5 56.0031 661 SAFH 1474 651 0 0.3 6.4E+03 19 1.3 53.154 662 SAFH 1475 652 0 0.3 5.6E+03 22 6.7 53.6756 663 SAFH 1476 653 0 0.3 5.6E+03 19 0.42 53.154 664 SAFH 1481 654 0 0.3 5.5E+03 19 0.19 52.7636 665 SAFH 1487 655 0 0.3 1.4E+04 23 27 62.6377 666 SAFH 1488 656 0 0.3 5.5E+02 23 0.67 62.6377 667 SAFH 1491 657 0 0.3 1.8E+04 22 1.3 62.5433 668 SAFH 1492 658 0 0.3 2E+04 23 5.1 58.9757 669 SAFH 1493 659 0 0.3 0.1 23 1.1 58.9757 670 SAFH 1495 660 0 0.3 1.8E+04 19 0.37 53.7343 671 SAFH 1498 661 0 0.3 6.1E+03 19 0.1 52.7636 672 SAFH 1501 662 0 0.3 2.3E+03 22 1.7 52.7636 673 SAFH 1502 663 0 0.3 3.5E+02 21 0.34 52.7636 674 SAFH 1504 664 0 0.3 1.9E+03 19 0.6 52.7636 675 SAFH 1505 665 0 0.3 8.5E+02 19 0.34 52.7636 676 SAFH 1507 666 0 0.3 1.9E+04 25 0.21 62.9003 677 SAFH 1513 667 0 0.3 1.9E+04 16 0.44 52.7636 678 SAFH 1516 668 0 0.3 4.7E+03 21 0.86 53.7343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 1518 669 0 0.3 1.9E+04 24 0.79 62.9003 680 SAFH 1520 670 0 0.3 52 24 0.38 62.9003 681 SAFH 1525 671 0 0.3 1.9E+04 21 1.7 57.6023 682 SAFH 1526 672 0 0.3 0.098 21 0.73 57.6023 683 SAFH 1529 673 0 0.3 1.6E+04 23 2.1 65.8438 684 SAFH 1530 674 0 0.3 6.8E+02 23 1.9 65.8438 685 SAFH 1532 675 0 0.3 1.4E+04 20 3.7 54.705 686 SAFH 1533 676 0 0.3 22 20 0.9 54.705 687 SAFH 1538 677 0 0.3 1.9E+04 25 0.5 65.8438 688 SAFH 1543 678 0 0.3 2.2E+04 22 1.8 62.4731 689 SAFH 1545 679 0 0.3 20 22 0.8 62.4731 690 SAFH 1549 680 0 0.3 1.8E+04 23 6.1 62.6042 691 SAFH 1550 681 0 0.3 1.2E+04 19 1.1 53.7343 692 SAFH 1552 682 0 0.3 3.1E+03 19 0.69 53.7343 693 SAFH 1558 683 0 0.3 1.2E+04 20 1.1 54.705 694 SAFH 1560 684 0 0.3 1.1E+04 19 0.5 52.7636 695 SAFH 1562 685 0 0.3 1.9E+04 23 0.83 65.8438 696 SAFH 1563 686 0 0.3 1.8E+04 21 4 57.6066 697 SAFH 1564 687 0 0.3 9.3E+03 21 0.36 53.7343 698 SAFH 1566 688 0 0.3 1.6E+02 21 0.17 53.7343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 1576 689 0 0.3 6.1E+02 20 0.43 53.7343 700 SAFH 1577 690 0 0.3 43 20 0.13 53.7343 701 SAFH 1586 691 0 0.3 1.9E+04 23 0.33 65.8438 702 SAFH 1591 692 0 0.3 1.9E+04 21 0.79 56.6459 703 SAFH 1592 693 0 0.3 1.4E+04 21 6.7 56.6459 704 SAFH 1594 694 0 0.3 1.8E+04 16 1.3 53.7343 705 SAFH 1596 695 0 0.3 4.4E+03 18 5 53.7343 706 SAFH 1597 696 0 0.3 1.5E+02 18 1.8 53.7343 707 SAFH 1599 697 0 0.3 88 18 0.46 53.7343 708 SAFH 1602 698 0 0.3 37 17 0.31 53.7343 709 SAFH 1603 699 0 0.3 35 18 0.14 53.7343 710 SAFH 1609 700 0 0.3 1.9E+04 22 0.4 63.1717 711 SAFH 1613 701 0 0.3 1.9E+04 18 0.27 53.7343 712 SAFH 1614 702 0 0.3 27 18 0.081 53.7343 713 SAFH 1616 703 0 0.3 1.9E+04 24 0.69 65.8438 714 SAFH 1618 704 0 0.3 2.3E+02 24 0.28 65.8438 715 SAFH 1622 705 0 0.3 1.9E+04 18 0.038 53.7343 716 SAFH 1630 706 0 0.3 1.7E+04 23 0.55 65.8438 717 SAFH 1636 707 0 0.3 1.8E+04 21 10 62.6042 718 SAFH 1637 708 0 0.3 1.9E+04 22 0.53 63.1717 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 1638 709 0 0.3 1.9E+04 17 0.086 53.7343 720 SAFH 1639 710 0 0.3 12 17 0.022 53.7343 721 SAFH 1642 711 0 0.3 14 16 0.0076 53.7343 722 SAFH 1648 712 0 0.3 7.7 17 0.004 53.7343 723 SAFH 1650 713 0 0.3 0.014 15 0.0017 53.7343 724 SAFH 1657 714 0 0.3 1.6E+04 24 15 65.9383 725 SAFH 1658 715 0 0.3 1.5E+04 21 15 59.3037 726 SAFH 1660 716 0 0.3 1.2E+04 15 0.0047 53.7343 727 SAFH 1661 717 0 0.3 2.9 15 0.0012 53.7343 728 SAFH 1662 718 0 0.3 1.4 16 0.00061 53.7343 729 SAFH 1663 719 0 0.3 0.21 15 0.00052 53.7343 730 SAFH 1664 720 0 0.3 6.4E+03 19 0.18 52.7636 731 SAFH 1670 721 0 0.3 6.4E+03 14 0.00044 53.7343 732 SAFH 1671 722 0 0.3 1.1 15 0.00034 53.7343 733 SAFH 1672 723 0 0.3 0.78 15 0.00029 53.7343 734 SAFH 1673 724 0 0.3 3 17 0.00033 53.7343 735 SAFH 1674 725 0 0.3 0.78 17 0.00026 53.7343 736 SAFH 1675 726 0 0.3 0.64 17 0.00025 53.7343 737 SAFH 1676 727 0 0.3 5.5E+03 18 0.33 53.7343 738 SAFH 1677 728 0 0.3 4.4E+03 18 1.1 53.7343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 1678 729 0 0.3 0.1 18 0.55 53.7343 740 SAFH 1679 730 0 0.3 1.9E+04 24 1.8 62.6377 741 SAFH 1681 731 0 0.3 1.7E+04 24 15 62.6377 742 SAFH 1682 732 0 0.3 2E+04 24 0.54 65.7127 743 SAFH 1688 733 0 0.3 2E+04 18 12 53.7343 744 SAFH 1689 734 0 0.3 82 18 0.34 53.7343 745 SAFH 1693 735 0 0.3 5.4E+03 20 0.16 53.7343 746 SAFH 1697 736 0 0.3 5.4E+03 17 0.22 53.7343 747 SAFH 1700 737 0 0.3 1.9E+04 21 3.7 56.6459 748 SAFH 1702 738 0 0.3 1.9E+04 18 0.1 53.7343 749 SAFH 1706 739 0 0.3 1.8E+04 23 0.9 63.514 750 SAFH 1708 740 0 0.3 1.9E+04 25 10 63.2187 751 SAFH 1709 741 0 0.3 1.4E+02 25 4.2 63.2187 752 SAFH 1711 742 0 0.3 2E+04 23 0.25 65.8438 753 SAFH 1716 743 0 0.3 8.5E+02 23 0.27 65.8438 754 SAFH 1719 744 0 0.3 1.9E+04 23 2.1 57.9446 755 SAFH 1721 745 0 0.3 1.2E+04 19 0.21 52.7636 756 SAFH 1725 746 0 0.3 1.2E+04 23 3.3 57.7293 757 SAFH 1726 747 0 0.3 8.9E+03 23 5.2 57.7293 758 SAFH 1727 748 0 0.3 1E+04 22 10 57.7293 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 1728 749 0 0.3 1.5E+02 22 3 57.7293 760 SAFH 1730 750 0 0.3 1.3E+04 22 2.5 55.2725 761 SAFH 1732 751 0 0.3 1.4E+04 20 0.13 52.7636 762 SAFH 1736 752 0 0.3 4E+02 18 0.45 52.7636 763 SAFH 1737 753 0 0.3 1.3E+02 19 0.11 52.7636 764 SAFH 1746 754 0 0.3 1.7E+04 24 2.6 63.5474 765 SAFH 1747 755 0 0.3 71 24 0.66 63.5474 766 SAFH 1749 756 0 0.3 1.6E+04 22 0.96 56.6459 767 SAFH 1751 757 0 0.3 1.4E+04 22 9.7 57.0263 768 SAFH 1753 758 0 0.3 1.4E+04 23 1.8 57.3643 769 SAFH 1755 759 0 0.3 1.7E+04 18 1.6 52.6324 770 SAFH 1757 760 0 0.3 5.2E+03 17 2.3 52.6324 771 SAFH 1758 761 0 0.3 78 17 0.96 52.6324 772 SAFH 1761 762 0 0.3 2.2E+04 24 2.4 62.9003 773 SAFH 1762 763 0 0.3 4E+02 24 0.25 62.9003 774 SAFH 1766 764 0 0.3 1.9E+04 22 0.68 59.318 775 SAFH 1769 765 0 0.3 1.5E+04 17 0.71 53.7343 776 SAFH 1772 766 0 0.3 1.4E+04 20 2.7 55.2725 777 SAFH 1774 767 0 0.3 4.9E+03 22 17 55.2725 778 SAFH 1775 768 0 0.3 7.3E+03 22 5.2 55.2725 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 1776 769 0 0.3 1.4E+02 22 2 55.2725 780 SAFH 1779 770 0 0.3 1.4E+04 24 2.4 65.8438 781 SAFH 1781 771 0 0.3 1.3E+04 21 2.6 55.2725 782 SAFH 1784 772 0 0.3 1.8E+04 25 6.7 62.9003 783 SAFH 1785 773 0 0.3 1.8E+02 25 2.3 62.9003 784 SAFH 1786 774 0 0.3 2.1E+04 17 0.22 52.6324 785 SAFH 1793 775 0 0.3 1.6E+04 23 0.86 59.9364 786 SAFH 1796 776 0 0.3 1.8E+04 24 0.51 65.8438 787 SAFH 1801 777 0 0.3 1.9E+04 21 0.79 53.154 788 SAFH 1803 778 0 0.3 1.6E+04 22 4.3 55.7404 789 SAFH 1806 779 0 0.3 1.7E+04 25 3.5 62.9003 790 SAFH 1807 780 0 0.3 60 25 0.43 62.9003 791 SAFH 1812 781 0 0.3 4.3E+02 25 0.54 62.9003 792 SAFH 1813 782 0 0.3 1.7E+02 25 0.17 62.9003 793 SAFH 1821 783 0 0.3 1.8E+04 21 6.3 58.4899 794 SAFH 1826 784 0 0.3 1.4E+04 22 9.2 54.5239 795 SAFH 1827 785 0 0.3 2.4E+02 22 2.8 54.5239 796 SAFH 1830 786 0 0.3 5.1E+02 22 2.2 54.5239 797 SAFH 1831 787 0 0.3 1.3E+04 20 1.4 54.1945 798 SAFH 1834 788 0 0.3 1.7E+04 25 0.68 62.9003 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 1835 789 0 0.3 55 25 0.3 62.9003 800 SAFH 1836 790 0 0.3 23 25 0.11 62.9003 801 SAFH 1843 791 0 0.2 1.8E+04 17 0.18 53.7343 802 SAFH 1849 792 0 0.2 1.4E+04 22 1.1 56.6459 803 SAFH 1853 793 0 0.2 1E+04 20 1.3 53.0726 804 SAFH 1856 794 0 0.2 1.9E+03 21 0.95 53.0726 805 SAFH 1860 795 0 0.2 1.9E+04 23 0.35 65.8438 806 SAFH 1862 796 0 0.2 2E+04 23 2.1 57.6023 807 SAFH 1864 797 0 0.2 1.5E+04 21 0.6 56.6502 808 SAFH 1865 798 0 0.2 1.4E+04 23 1.9 58.6378 809 SAFH 1866 799 0 0.2 3.1E+02 23 1.9 58.6378 810 SAFH 1867 800 0 0.2 1.4E+04 21 1.9 56.6502 811 SAFH 1869 801 0 0.2 7.3E+02 21 3.5 56.6502 812 SAFH 1870 802 0 0.2 1.6E+04 20 1.1 56.0031 813 SAFH 1873 803 0 0.2 7E+03 19 1.6 53.154 814 SAFH 1874 804 0 0.2 81 19 0.32 53.154 815 SAFH 1880 805 0 0.2 1.4E+04 20 4.6 54.1945 816 SAFH 1881 806 0 0.2 4.9E+02 20 2.3 54.1945 817 SAFH 1884 807 0 0.2 1.2E+04 20 0.73 54.705 818 SAFH 1885 808 0 0.2 1.5E+04 20 9.7 52.7948 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 1886 809 0 0.2 1.9E+04 17 0.29 52.6324 820 SAFH 1890 810 0 0.2 1.6E+04 20 1.5 54.1945 821 SAFH 1893 811 0 0.2 1.5E+04 23 0.28 56.0976 822 SAFH 1900 812 0 0.2 1.6E+04 20 2 54.2176 823 SAFH 1903 813 0 0.2 2E+04 18 40 53.6019 824 SAFH 1904 814 0 0.2 6.5E+03 19 7.1 53.6019 825 SAFH 1907 815 0 0.2 1.4E+04 25 68 63.3829 826 SAFH 1909 816 0 0.2 1.4E+04 21 0.51 57.9446 827 SAFH 1912 817 0 0.2 1.4E+04 21 2 57.2034 828 SAFH 1914 818 0 0.2 9.6E+03 23 5.3 57.2034 829 SAFH 1915 819 0 0.2 0.29 23 2.4 57.2034 830 SAFH 1916 820 0 0.2 1.5E+04 19 0.27 52.7636 831 SAFH 1919 821 0 0.2 1.5E+04 22 1.1 57.1156 832 SAFH 1923 822 0 0.2 1.8E+04 26 0.68 65.8438 833 SAFH 1926 823 0 0.2 1.7E+04 17 0.094 52.6324 834 SAFH 1929 824 0 0.2 14 17 0.045 52.6324 835 SAFH 1934 825 0 0.2 1.4E+04 20 0.52 53.519 836 SAFH 1936 826 0 0.2 1.8E+04 24 0.27 62.9003 837 SAFH 1940 827 0 0.2 1.9E+04 22 1 55.2725 838 SAFH 1941 828 0 0.2 0.04 22 0.35 55.2725 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 1946 829 0 0.2 2E+04 24 0.31 62.9003 840 SAFH 1949 830 0 0.2 9.6E+03 23 16 57.1156 841 SAFH 1951 831 0 0.2 1.5E+03 22 2.4 57.1156 842 SAFH 1952 832 0 0.2 21 22 0.95 57.1156 843 SAFH 1953 833 0 0.2 43 22 0.24 57.1156 844 SAFH 1958 834 0 0.2 1.6E+04 18 0.19 52.7636 845 SAFH 1959 835 0 0.2 1.3E+04 21 1.7 57.0683 846 SAFH 1960 836 0 0.2 0.094 21 0.56 57.0683 847 SAFH 1961 837 0 0.2 14 21 0.24 57.0683 848 SAFH 1965 838 0 0.2 85 20 0.19 57.0683 849 SAFH 1967 839 0 0.2 1.9E+04 22 10 56.6459 850 SAFH 1968 840 0 0.2 1.9E+04 18 0.7 57.0683 851 SAFH 1969 841 0 0.2 7.8E+02 18 0.4 57.0683 852 SAFH 1972 842 0 0.2 1.5E+04 20 1.1 54.1945 853 SAFH 1975 843 0 0.2 1.6E+04 25 50 62.9003 854 SAFH 1976 844 0 0.2 4.8E+02 25 13 62.9003 855 SAFH 1977 845 0 0.2 1.5E+02 25 1.8 62.9003 856 SAFH 1978 846 0 0.2 6E+02 25 3.2 62.9003 857 SAFH 1979 847 0 0.2 1.8E+04 20 24 54.4898 858 SAFH 1980 848 0 0.2 5E+02 20 6.3 54.4898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 1981 849 0 0.2 4.4E+02 20 2 54.4898 860 SAFH 1983 850 0 0.2 1.6E+04 23 0.41 63.2187 861 SAFH 1987 851 0 0.2 1.6E+04 24 7.1 65.8438 862 SAFH 1988 852 0 0.2 1.6E+02 24 1.7 65.8438 863 SAFH 1990 853 0 0.2 9.5E+03 26 5.9 65.8438 864 SAFH 1992 854 0 0.2 1.5E+04 19 0.74 53.9095 865 SAFH 1993 855 0 0.2 1.2E+02 19 1.8 53.9095 866 SAFH 1994 856 0 0.2 76 19 0.45 53.9095 867 SAFH 1998 857 0 0.2 1.2E+03 20 0.6 53.9095 868 SAFH 2000 858 0 0.2 2.1E+04 22 0.33 63.1717 869 SAFH 2002 859 0 0.2 1.9E+04 18 0.15 52.7636 870 SAFH 2009 860 0 0.2 1.4E+03 20 0.16 52.7636 871 SAFH 2014 861 0 0.2 6E+03 17 0.44 53.7343 872 SAFH 2016 862 0 0.2 53 17 0.33 53.7343 873 SAFH 2017 863 0 0.2 25 17 0.2 53.7343 874 SAFH 2019 864 0 0.2 49 17 0.093 53.7343 875 SAFH 2023 865 0 0.2 4E+03 18 0.33 52.7636 876 SAFH 2024 866 0 0.2 4.4 18 0.19 52.7636 877 SAFH 2025 867 0 0.2 9.9E+03 22 8.3 53.519 878 SAFH 2026 868 0 0.2 3.8 22 3.5 53.519 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 2027 869 0 0.2 9.9E+03 17 0.052 52.7636 880 SAFH 2033 870 0 0.2 23 18 0.022 52.7636 881 SAFH 2038 871 0 0.2 33 17 0.043 52.7636 882 SAFH 2040 872 0 0.2 24 17 0.009 52.7636 883 SAFH 2044 873 0 0.2 12 18 0.0066 52.7636 884 SAFH 2047 874 0 0.2 22 18 0.0065 52.7636 885 SAFH 2049 875 0 0.2 18 16 0.0025 52.7636 886 SAFH 2056 876 0 0.2 12 18 0.0022 52.7636 887 SAFH 2057 877 0 0.2 1.3E+04 23 2 56.8196 888 SAFH 2059 878 0 0.2 1.7E+04 18 10 54.1247 889 SAFH 2060 879 0 0.2 3.5E+03 20 31 54.1247 890 SAFH 2061 880 0 0.2 1E+02 20 5.2 54.1247 891 SAFH 2062 881 0 0.2 1.2E+04 20 3 54.5232 892 SAFH 2064 882 0 0.2 1.3E+04 17 0.11 53.7343 893 SAFH 2066 883 0 0.2 50 17 0.045 53.7343 894 SAFH 2070 884 0 0.2 1.8E+04 22 1.3 62.6377 895 SAFH 2071 885 0 0.2 2E+04 23 0.4 65.7127 896 SAFH 2074 886 0 0.2 2E+04 18 0.35 52.6324 897 SAFH 2077 887 0 0.2 1.3E+02 18 0.25 52.6324 898 SAFH 2080 888 0 0.2 1.6E+04 20 0.65 54.1945 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 2083 889 0 0.2 1.2E+04 18 0.32 52.7636 900 SAFH 2085 890 0 0.2 1.6E+04 22 2.1 59.1726 901 SAFH 2086 891 0 0.2 1.6E+04 18 0.1 52.7636 902 SAFH 2091 892 0 0.2 2.4E+02 16 0.1 52.7636 903 SAFH 2093 893 0 0.2 85 16 0.041 52.7636 904 SAFH 2102 894 0 0.2 1.4E+03 18 0.12 52.7636 905 SAFH 2107 895 0 0.2 1.4E+02 18 0.085 52.7636 906 SAFH 2109 896 0 0.2 1.9E+04 23 22 65.8438 907 SAFH 2110 897 0 0.2 0.13 23 0.19 65.8438 908 SAFH 2115 898 0 0.2 2.1E+04 20 3 54.5232 909 SAFH 2116 899 0 0.2 95 20 0.76 54.5232 910 SAFH 2119 900 0 0.2 2.1E+04 22 0.12 65.8438 911 SAFH 2123 901 0 0.2 1.9E+04 24 0.51 62.9003 912 SAFH 2125 902 0 0.2 1.8E+04 20 0.5 59.318 913 SAFH 2126 903 0 0.2 1.7E+04 20 1.7 55.2725 914 SAFH 2127 904 0 0.2 1.3E+04 20 0.23 54.705 915 SAFH 2131 905 0 0.2 1.3E+04 20 0.43 55.2725 916 SAFH 2133 906 0 0.2 6.6E+02 21 0.44 55.2725 917 SAFH 2137 907 0 0.2 1.9E+04 22 0.26 57.1156 918 SAFH 2141 908 0 0.2 1.9E+04 21 0.17 55.2725 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 2149 909 0 0.2 1.9E+04 15 2.3 53.6031 920 SAFH 2150 910 0 0.2 8.1E+03 17 0.18 53.7343 921 SAFH 2155 911 0 0.2 1.9E+04 25 0.19 65.8438 922 SAFH 2159 912 0 0.2 1.2E+04 21 4 56.6459 923 SAFH 2160 913 0 0.2 1.4E+02 21 0.99 56.6459 924 SAFH 2161 914 0 0.2 68 21 0.35 56.6459 925 SAFH 2163 915 0 0.2 1.5E+02 20 0.17 56.6459 926 SAFH 2168 916 0 0.2 1.5E+04 22 1.6 54.4898 927 SAFH 2170 917 0 0.2 1.6E+04 21 4.5 55.9473 928 SAFH 2173 918 0 0.2 1.1E+04 19 0.75 55.9473 929 SAFH 2177 919 0 0.2 1.4E+04 19 2.6 54.705 930 SAFH 2178 920 0 0.2 3.3E+03 20 0.66 54.705 931 SAFH 2181 921 0 0.2 4.8E+03 17 0.18 54.705 932 SAFH 2185 922 0 0.2 2E+04 21 3.2 58.2161 933 SAFH 2186 923 0 0.2 1.4E+04 21 1.8 58.2161 934 SAFH 2187 924 0 0.2 1.3E+04 23 9.4 63.2052 935 SAFH 2188 925 0 0.2 3.2E+02 23 2.4 63.2052 936 SAFH 2189 926 0 0.2 4.9E+02 23 0.95 63.2052 937 SAFH 2191 927 0 0.2 8.5E+03 25 13 63.2052 938 SAFH 2192 928 0 0.2 1.7E+04 24 0.47 63.2052 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 2195 929 0 0.2 2E+04 22 0.42 61.5167 940 SAFH 2196 930 0 0.2 5.6E+02 22 0.4 61.5167 941 SAFH 2198 931 0 0.2 1.8E+04 22 1.4 61.5167 942 SAFH 2200 932 0 0.2 2E+04 21 1.9 55.2725 943 SAFH 2201 933 0 0.2 3.8E+03 18 0.3 55.2725 944 SAFH 2203 934 0 0.2 1.9E+04 25 1.4 62.9003 945 SAFH 2205 935 0 0.2 1.8E+04 22 0.36 60.2744 946 SAFH 2212 936 0 0.2 1.2E+04 18 0.099 52.7636 947 SAFH 2213 937 0 0.2 6.8E+03 16 1 52.6324 948 SAFH 2214 938 0 0.2 3.8 15 0.17 52.6324 949 SAFH 2218 939 0 0.2 8.7E+03 20 0.22 53.7343 950 SAFH 2223 940 0 0.2 6.5E+03 22 0.7 53.154 951 SAFH 2225 941 0 0.2 6.1E+03 18 0.43 54.1247 952 SAFH 2227 942 0 0.2 1.8E+04 20 0.7 57.8134 953 SAFH 2228 943 0 0.2 7.5E+03 24 1.3 65.7127 954 SAFH 2229 944 0 0.2 7.2E+02 22 0.19 65.7127 955 SAFH 2232 945 0 0.2 2E+04 23 1.1 57.8134 956 SAFH 2234 946 0 0.2 2E+04 22 0.092 65.7127 957 SAFH 2241 947 0 0.2 2.1E+04 16 0.29 52.6324 958 SAFH 2242 948 0 0.2 5.9 16 0.084 52.6324 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 2247 949 0 0.2 2.1E+03 22 0.73 52.6324 960 SAFH 2249 950 0 0.2 6.5E+03 20 0.17 53.7343 961 SAFH 2252 951 0 0.2 9.6E+02 18 0.18 53.7343 962 SAFH 2254 952 0 0.2 1.7E+04 19 0.46 56.8427 963 SAFH 2256 953 0 0.2 1.7E+04 20 1.9 55.0573 964 SAFH 2257 954 0 0.2 68 20 0.47 55.0573 965 SAFH 2259 955 0 0.2 1.7E+04 23 0.42 63.514 966 SAFH 2260 956 0 0.2 2.1E+04 20 7.7 56.0177 967 SAFH 2261 957 0 0.2 59 20 1.3 56.0177 968 SAFH 2262 958 0 0.2 1.5E+04 20 3.4 54.1706 969 SAFH 2263 959 0 0.2 1.5E+04 20 0.5 56.0177 970 SAFH 2269 960 0 0.2 1.3E+04 19 7.6 56.7542 971 SAFH 2271 961 0 0.2 1.6E+04 16 0.18 52.6324 972 SAFH 2272 962 0 0.2 2.6E+02 18 0.072 52.6324 973 SAFH 2278 963 0 0.2 1.7E+04 23 0.21 59.2427 974 SAFH 2281 964 0 0.2 1.9E+04 24 0.31 62.6377 975 SAFH 2284 965 0 0.2 1.8E+04 25 1.5 62.9003 976 SAFH 2285 966 0 0.2 1.4E+04 24 0.41 65.7127 977 SAFH 2286 967 0 0.2 2E+04 18 0.38 52.7636 978 SAFH 2287 968 0 0.2 1.2E+02 18 0.12 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 2295 969 0 0.2 1.2E+04 20 3.5 54.1945 980 SAFH 2296 970 0 0.2 1.2E+02 20 0.9 54.1945 981 SAFH 2297 971 0 0.2 2.3E+02 20 0.26 54.1945 982 SAFH 2302 972 0 0.2 1.4E+04 19 1.7 55.2725 983 SAFH 2303 973 0 0.2 4.8E+03 21 0.84 55.2725 984 SAFH 2305 974 0 0.2 1.7E+04 24 1 62.9003 985 SAFH 2307 975 0 0.2 7.8E+02 23 0.76 62.9003 986 SAFH 2308 976 0 0.2 37 22 0.34 62.9003 987 SAFH 2311 977 0 0.2 8.6E+03 24 0.085 62.9003 988 SAFH 2321 978 0 0.2 1.9E+04 18 0.11 52.7636 989 SAFH 2326 979 0 0.2 1.9E+04 24 8.1 62.9003 990 SAFH 2327 980 0 0.2 4.5E+02 25 1.9 62.9003 991 SAFH 2328 981 0 0.2 70 25 0.6 62.9003 992 SAFH 2330 982 0 0.2 1.8E+04 17 0.068 53.7343 993 SAFH 2335 983 0 0.2 1.2E+03 17 0.15 53.7343 994 SAFH 2338 984 0 0.2 49 17 0.054 53.7343 995 SAFH 2342 985 0 0.2 27 16 0.03 53.7343 996 SAFH 2345 986 0 0.2 1.2E+03 17 0.034 53.7343 997 SAFH 2348 987 0 0.2 1.2E+03 13 0.0086 53.7343 998 SAFH 2352 988 0 0.2 1.6E+04 20 0.65 57.0683 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 2353 989 0 0.2 70 21 0.23 57.0683 1000 SAFH 2357 990 0 0.2 7.3E+03 22 4.3 57.7628 1001 SAFH 2358 991 0 0.2 1.1E+03 22 2.1 57.7628 1002 SAFH 2360 992 0 0.2 8.2E+03 20 1.4 54.5232 1003 SAFH 2361 993 0 0.2 1.2E+04 22 0.52 52.6324 1004 SAFH 2363 994 0 0.2 3.6E+02 20 0.42 52.6324 1005 SAFH 2367 995 0 0.2 1.5E+04 22 1 57.3731 1006 SAFH 2371 996 0 0.2 1.6E+04 16 0.0058 53.7343 1007 SAFH 2374 997 0 0.2 3.4 13 0.0044 53.7343 1008 SAFH 2376 998 0 0.2 1.3E+04 20 0.67 54.1945 1009 SAFH 2377 999 0 0.2 1.1E+02 20 0.31 54.1945 1010 SAFH 2379 1000 0 0.2 1.7E+04 25 0.42 64.2228 1011 SAFH 2381 1001 0 0.2 7.2E+03 23 0.42 65.7127 1012 SAFH 2382 1002 0 0.2 31 23 0.19 65.7127 1013 SAFH 2386 1003 0 0.2 2.1E+04 16 0.53 52.6324 1014 SAFH 2388 1004 0 0.2 11 16 0.21 52.6324 1015 SAFH 2389 1005 0 0.2 23 16 0.1 52.6324 1016 SAFH 2394 1006 0 0.2 1.7E+04 22 5.4 63.2187 1017 SAFH 2395 1007 0 0.2 2.9E+02 22 2.7 63.2187 1018 SAFH 2396 1008 0 0.2 7.3E+03 21 51 63.2187 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 2397 1009 0 0.2 1.6E+04 20 0.64 54.705 1020 SAFH 2399 1010 0 0.2 5.3E+03 22 0.58 54.4898 1021 SAFH 2403 1011 0 0.2 1.3E+04 16 0.17 53.7343 1022 SAFH 2404 1012 0 0.2 24 16 0.042 53.7343 1023 SAFH 2408 1013 0 0.2 48 16 0.12 53.7343 1024 SAFH 2409 1014 0 0.2 2E+04 23 0.25 62.9003 1025 SAFH 2412 1015 0 0.2 8.4E+03 22 0.2 62.9003 1026 SAFH 2415 1016 0 0.2 1.9E+04 16 0.031 53.7343 1027 SAFH 2419 1017 0 0.2 1.2E+04 20 0.86 53.519 1028 SAFH 2422 1018 0 0.2 8.6E+03 20 0.47 53.9095 1029 SAFH 2423 1019 0 0.2 9.9E+03 23 0.6 57.7628 1030 SAFH 2426 1020 0 0.2 7.1E+03 20 1.7 54.5232 1031 SAFH 2428 1021 0 0.2 1E+04 20 3.9 57.7628 1032 SAFH 2429 1022 0 0.2 1.7E+04 22 2.2 54.5239 1033 SAFH 2431 1023 0 0.2 83 22 0.37 54.5239 1034 SAFH 2435 1024 0 0.2 1.9E+04 18 0.2 53.7343 1035 SAFH 2439 1025 0 0.2 6.6E+03 21 0.24 56.0031 1036 SAFH 2442 1026 0 0.2 46 22 0.13 56.0031 1037 SAFH 2446 1027 0 0.2 1.8E+04 25 3.3 62.9003 1038 SAFH 2448 1028 0 0.2 2.1E+04 24 0.69 65.7127 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1039 SAFH 2449 1029 0 0.2 62 24 0.14 65.7127 1040 SAFH 2455 1030 0 0.2 2E+04 21 0.14 63.2988 1041 SAFH 2459 1031 0 0.2 1.8E+04 24 0.23 65.8438 1042 SAFH 2462 1032 0 0.2 1.8E+04 18 0.18 55.2725 1043 SAFH 2463 1033 0 0.2 1.3E+04 24 2.8 63.514 1044 SAFH 2464 1034 0 0.2 4.5E+02 24 0.7 63.514 1045 SAFH 2465 1035 0 0.2 3.4E+02 24 0.72 63.514 1046 SAFH 2466 1036 0 0.2 1.6E+04 22 1.2 57.2643 1047 SAFH 2467 1037 0 0.2 1.1E+04 20 0.33 58.4082 1048 SAFH 2473 1038 0 0.2 1.8E+04 24 0.29 65.8438 1049 SAFH 2475 1039 0 0.2 2.1E+04 20 0.43 54.5849 1050 SAFH 2479 1040 0 0.2 1.3E+04 23 0.76 57.7293 1051 SAFH 2481 1041 0 0.2 1.5E+04 23 0.39 62.9003 1052 SAFH 2482 1042 0 0.2 1.9E+04 19 0.71 58.9757 1053 SAFH 2483 1043 0 0.2 1.1E+02 19 0.15 58.9757 1054 SAFH 2488 1044 0 0.2 1.7E+04 24 1.2 61.4817 1055 SAFH 2491 1045 0 0.2 1.6E+04 19 0.63 59.318 1056 SAFH 2494 1046 0 0.2 1.3E+04 21 1.5 55.7404 1057 SAFH 2495 1047 0 0.2 1.6E+04 21 3.1 54.1945 1058 SAFH 2496 1048 0 0.2 39 21 0.32 54.1945 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1059 SAFH 2498 1049 0 0.2 1.2E+04 18 0.47 52.7636 1060 SAFH 2499 1050 0 0.2 22 18 0.093 52.7636 1061 SAFH 2500 1051 0 0.2 4.1E+03 20 0.14 53.7343 1062 SAFH 2505 1052 0 0.2 3.3E+03 15 0.18 53.7343 1063 SAFH 2508 1053 0 0.2 17 15 0.029 53.7343 1064 SAFH 2514 1054 0 0.2 2.9E+03 16 0.46 53.7343 1065 SAFH 2515 1055 0 0.2 30 16 0.14 53.7343 1066 SAFH 2518 1056 0 0.2 18 16 0.05 53.7343 1067 SAFH 2522 1057 0 0.2 2.8E+03 17 0.047 53.7343 1068 SAFH 2527 1058 0 0.2 24 17 0.15 53.7343 1069 SAFH 2528 1059 0 0.2 40 17 0.037 53.7343 1070 SAFH 2532 1060 0 0.2 1.7E+04 24 0.31 65.8438 1071 SAFH 2534 1061 0 0.2 30 24 0.14 65.8438 1072 SAFH 2540 1062 0 0.2 2E+04 20 1.3 53.9095 1073 SAFH 2542 1063 0 0.2 3.4E+03 20 1.9 53.9095 1074 SAFH 2544 1064 0 0.2 61 20 0.27 53.9095 1075 SAFH 2548 1065 0 0.2 1.4E+04 23 6.1 57.4206 1076 SAFH 2549 1066 0 0.2 1.4E+04 19 0.46 53.9095 1077 SAFH 2550 1067 0 0.2 10 19 0.21 53.9095 1078 SAFH 2554 1068 0 0.2 77 19 0.087 53.9095 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1079 SAFH 2561 1069 0 0.2 1.8E+04 22 0.12 62.4731 1080 SAFH 2566 1070 0 0.2 1.7E+04 22 0.2 52.6324 1081 SAFH 2568 1071 0 0.2 4.9E+03 16 0.47 52.6324 1082 SAFH 2569 1072 0 0.2 40 16 0.11 52.6324 1083 SAFH 2572 1073 0 0.2 21 15 0.033 52.6324 1084 SAFH 2576 1074 0 0.2 37 15 0.049 52.6324 1085 SAFH 2577 1075 0 0.2 10 16 0.014 52.6324 1086 SAFH 2580 1076 0 0.2 1.4E+04 20 1 53.519 1087 SAFH 2582 1077 0 0.2 1.1E+04 19 0.23 53.7343 1088 SAFH 2584 1078 0 0.2 7.6E+02 22 0.44 53.7343 1089 SAFH 2585 1079 0 0.2 1.6E+04 20 0.17 59.318 1090 SAFH 2590 1080 0 0.2 1.6E+04 25 0.64 63.2187 1091 SAFH 2592 1081 0 0.2 1.7E+04 24 0.59 63.176 1092 SAFH 2593 1082 0 0.2 1.1E+03 24 0.57 63.176 1093 SAFH 2594 1083 0 0.2 9.7E+02 24 0.57 63.176 1094 SAFH 2595 1084 0 0.2 1.7E+04 18 0.056 52.7636 1095 SAFH 2600 1085 0 0.2 2.9E+03 18 0.13 52.7636 1096 SAFH 2604 1086 0 0.2 2.2E+03 20 0.11 52.7636 1097 SAFH 2609 1087 0 0.2 1.6E+04 17 0.18 54.5739 1098 SAFH 2611 1088 0 0.2 1.8E+04 23 12 57.3731 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1099 SAFH 2613 1089 0 0.2 6.2E+02 23 3 57.3731 1100 SAFH 2614 1090 0 0.2 6.5E+02 23 3.2 57.3731 1101 SAFH 2616 1091 0 0.2 1.2E+03 23 2.4 57.3731 1102 SAFH 2617 1092 0 0.2 90 23 1 57.3731 1103 SAFH 2621 1093 0 0.2 1E+03 23 0.95 57.3731 1104 SAFH 2623 1094 0 0.2 1.7E+04 23 0.13 62.9003 1105 SAFH 2625 1095 0 0.2 1.9E+04 22 3.3 60.2744 1106 SAFH 2626 1096 0 0.2 1.7E+04 17 0.25 54.705 1107 SAFH 2630 1097 0 0.2 1.4E+04 16 0.22 52.6324 1108 SAFH 2633 1098 0 0.2 1.6E+04 22 16 59.848 1109 SAFH 2634 1099 0 0.2 75 22 2.2 59.848 1110 SAFH 2636 1100 0 0.2 1.6E+04 22 0.16 53.7343 1111 SAFH 2640 1101 0 0.2 1.7E+04 20 0.31 58.9757 1112 SAFH 2643 1102 0 0.2 1.9E+04 23 0.92 57.3308 1113 SAFH 2645 1103 0 0.2 46 23 0.23 57.3308 1114 SAFH 2648 1104 0 0.2 1.4E+04 25 0.69 62.6377 1115 SAFH 2653 1105 0 0.2 1.4E+04 22 0.94 60.6177 1116 SAFH 2654 1106 0 0.2 1.7E+04 20 0.62 60.2744 1117 SAFH 2655 1107 0 0.2 2E+04 24 0.81 62.9003 1118 SAFH 2658 1108 0 0.2 1.9E+04 22 0.27 60.0592 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1119 SAFH 2660 1109 0 0.2 42 22 0.12 60.0592 1120 SAFH 2661 1110 0 0.2 1.4E+04 23 0.27 60.0592 1121 SAFH 2664 1111 0 0.2 1.5E+04 20 0.23 60.0592 1122 SAFH 2667 1112 0 0.2 1.5E+04 23 0.18 60.0592 1123 SAFH 2669 1113 0 0.2 1.5E+04 22 0.28 54.4898 1124 SAFH 2675 1114 0 0.2 1.8E+04 24 0.26 62.9003 1125 SAFH 2677 1115 0 0.2 33 24 0.11 62.9003 1126 SAFH 2682 1116 0 0.2 1.5E+04 25 9 63.2187 1127 SAFH 2683 1117 0 0.2 6.2E+02 24 31 63.2187 1128 SAFH 2684 1118 0 0.2 3.8E+03 25 2.2 63.2187 1129 SAFH 2685 1119 0 0.2 1.5E+04 20 0.33 53.519 1130 SAFH 2688 1120 0 0.2 1.3E+04 22 0.15 56.0031 1131 SAFH 2693 1121 0 0.2 9.2E+03 19 0.42 56.0976 1132 SAFH 2695 1122 0 0.2 5.7E+03 18 0.082 52.7636 1133 SAFH 2700 1123 0 0.2 4.8E+03 17 0.11 53.7343 1134 SAFH 2701 1124 0 0.2 21 17 0.044 53.7343 1135 SAFH 2707 1125 0 0.2 70 18 0.03 53.7343 1136 SAFH 2713 1126 0 0.2 3.6E+03 19 0.041 53.7343 1137 SAFH 2717 1127 0 0.2 3.9E+02 17 0.17 53.7343 1138 SAFH 2718 1128 0 0.2 24 17 0.084 53.7343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1139 SAFH 2722 1129 0 0.2 5.4E+03 18 0.24 53.7343 1140 SAFH 2724 1130 0 0.2 30 18 0.094 53.7343 1141 SAFH 2728 1131 0 0.2 18 18 0.071 53.7343 1142 SAFH 2730 1132 0 0.2 22 18 0.019 53.7343 1143 SAFH 2736 1133 0 0.2 22 17 0.016 53.7343 1144 SAFH 2738 1134 0 0.2 5.1 16 0.012 53.7343 1145 SAFH 2740 1135 0 0.2 20 17 0.012 53.7343 1146 SAFH 2742 1136 0 0.2 17 16 0.0058 53.7343 1147 SAFH 2747 1137 0 0.2 5.6 15 0.0029 53.7343 1148 SAFH 2750 1138 0 0.2 6.7 16 0.0019 53.7343 1149 SAFH 2751 1139 0 0.2 8.6 16 0.0045 53.7343 1150 SAFH 2752 1140 0 0.2 2.5 15 0.00099 53.7343 1151 SAFH 2753 1141 0 0.2 1.4 15 0.001 53.7343 1152 SAFH 2754 1142 0 0.2 3.2 13 0.00096 53.7343 1153 SAFH 2755 1143 0 0.2 6.5E+03 18 0.087 52.7636 1154 SAFH 2757 1144 0 0.2 6.5E+03 14 0.0011 53.7343 1155 SAFH 2758 1145 0 0.2 1.8 12 0.00074 53.7343 1156 SAFH 2759 1146 0 0.2 0.47 12 0.00038 53.7343 1157 SAFH 2760 1147 0 0.2 3.5 13 0.00025 53.7343 1158 SAFH 2761 1148 0 0.2 0.72 14 0.00019 53.7343 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1159 SAFH 2762 1149 0 0.2 0.66 15 0.00018 53.7343 1160 SAFH 2763 1150 0 0.2 0.00044 14 0.00018 53.7343 1161 SAFH 2764 1151 0 0.2 1.4 14 0.00032 53.7343 1162 SAFH 2765 1152 0 0.2 1 14 0.00017 53.7343 1163 SAFH 2766 1153 0 0.2 1.2E+04 18 7.9 53.6019 1164 SAFH 2767 1154 0 0.2 21 18 1.1 53.6019 1165 SAFH 2769 1155 0 0.2 1.2E+04 13 8.1E-05 53.7343 1166 SAFH 2770 1156 0 0.2 0.65 13 7.9E-05 53.7343 1167 SAFH 2771 1157 0 0.2 0.49 13 6.8E-05 53.7343 1168 SAFH 2772 1158 0 0.2 1.6 9 6.5E-05 53.7343 1169 SAFH 2773 1159 0 0.2 1.3 10 4.2E-05 53.7343 1170 SAFH 2774 1160 0 0.2 0.45 10 2E-05 53.7343 1171 SAFH 2775 1161 0 0.2 0.21 9 1.6E-05 53.7343 1172 SAFH 2776 1162 0 0.2 0.65 11 4.8E-05 53.7343 1173 SAFH 2777 1163 0 0.2 0.34 11 4.2E-05 53.7343 1174 SAFH 2778 1164 0 0.2 0.41 11 1.1E-05 53.7343 1175 SAFH 2779 1165 0 0.2 1.2E+04 17 0.42 53.6019 1176 SAFH 2783 1166 0 0.2 1.8E+04 26 1.6 66.51 1177 SAFH 2785 1167 0 0.2 1.1E+04 24 0.94 66.51 1178 SAFH 2787 1168 0 0.2 2E+04 20 1.5 54.9121 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1179 SAFH 2788 1169 0 0.2 52 20 0.56 54.9121 1180 SAFH 2789 1170 0 0.2 1.8E+04 17 0.1 53.6019 1181 SAFH 2792 1171 0 0.2 1.5E+04 22 0.33 53.519 1182 SAFH 2795 1172 0 0.2 1.6E+04 18 0.1 55.9473 1183 SAFH 2799 1173 0 0.2 7.9 16 0.043 55.9473 1184 SAFH 2802 1174 0 0.2 6.2 14 0.025 55.9473 1185 SAFH 2808 1175 0 0.2 2E+04 21 64 55.0573 1186 SAFH 2809 1176 0 0.2 9.4E+03 21 27 55.0573 1187 SAFH 2810 1177 0 0.2 9.7E+03 21 4.8 55.0573 1188 SAFH 2811 1178 0 0.2 1.6E+03 21 5.4 55.0573 1189 SAFH 2812 1179 0 0.2 1.8E+03 21 1 55.0573 1190 SAFH 2813 1180 0 0.2 1.8E+04 22 3.6 55.872 1191 SAFH 2815 1181 0 0.2 2.2E+04 25 0.11 65.8438 1192 SAFH 2820 1182 0 0.2 6.6E+02 25 0.076 65.8438 1193 SAFH 2823 1183 0 0.2 1.8E+04 23 0.089 65.8438 1194 SAFH 2831 1184 0 0.2 1.9E+04 23 0.14 57.1156 1195 SAFH 2835 1185 0 0.2 1.3E+04 20 0.48 53.519 1196 SAFH 2837 1186 0 0.2 1.3E+04 22 0.25 56.9739 1197 SAFH 2838 1187 0 0.2 1.5E+04 21 29 57.0221 1198 SAFH 2839 1188 0 0.2 1.2E+03 21 1.1 57.0221 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1199 SAFH 2840 1189 0 0.2 68 21 0.29 57.0221 1200 SAFH 2841 1190 0 0.2 44 21 0.071 57.0221 1201 SAFH 2846 1191 0 0.2 1.7E+04 22 2.1 59.5997 1202 SAFH 2847 1192 0 0.2 64 22 0.68 59.5997 1203 SAFH 2848 1193 0 0.2 1.7E+04 21 5.3 55.6752 1204 SAFH 2849 1194 0 0.2 0.38 21 0.21 55.6752 1205 SAFH 2853 1195 0 0.2 61 21 0.053 55.6752 1206 SAFH 2860 1196 0 0.2 1.6E+04 16 0.035 52.7636 1207 SAFH 2868 1197 0 0.2 2E+02 16 0.087 52.7636 1208 SAFH 2870 1198 0 0.2 1.2E+04 22 3 63.2187 1209 SAFH 2871 1199 0 0.2 0.23 22 0.8 63.2187 1210 SAFH 2872 1200 0 0.2 1.9E+04 20 0.15 60.8419 1211 SAFH 2875 1201 0 0.2 1.6E+04 23 0.35 60.8419 1212 SAFH 2877 1202 0 0.2 1.9E+04 24 5.6 62.9003 1213 SAFH 2878 1203 0 0.2 1.9E+04 19 0.34 61.3056 1214 SAFH 2879 1204 0 0.2 1.8E+04 20 3.6 54.1945 1215 SAFH 2880 1205 0 0.2 2E+03 20 0.37 54.1945 1216 SAFH 2883 1206 0 0.2 1.2E+02 20 0.16 54.1945 1217 SAFH 2885 1207 0 0.2 1.3E+04 22 2.2 54.5239 1218 SAFH 2886 1208 0 0.2 2E+02 22 0.57 54.5239 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1219 SAFH 2888 1209 0 0.2 3.8E+02 22 1.2 54.5239 1220 SAFH 2890 1210 0 0.2 5.8E+02 22 0.55 54.5239 1221 SAFH 2892 1211 0 0.2 94 22 0.18 54.5239 1222 SAFH 2897 1212 0 0.2 1.9E+04 24 0.18 61.4326 1223 SAFH 2900 1213 0 0.2 1.9E+04 22 2.8 60.2134 1224 SAFH 2901 1214 0 0.2 1.3E+04 22 4.1 56.4217 1225 SAFH 2902 1215 0 0.2 1E+02 20 0.63 56.4217 1226 SAFH 2904 1216 0 0.2 1.2E+04 16 0.1 52.6324 1227 SAFH 2905 1217 0 0.2 1.6E+04 20 0.41 56.9739 1228 SAFH 2907 1218 0 0.2 1.9E+04 22 0.083 62.6042 1229 SAFH 2912 1219 0 0.2 1.7E+04 17 0.048 52.7636 1230 SAFH 2919 1220 0 0.2 9.2E+03 20 0.29 53.519 1231 SAFH 2921 1221 0 0.2 4.6E+02 20 0.26 53.519 1232 SAFH 2922 1222 0 0.2 25 20 0.087 53.519 1233 SAFH 2931 1223 0 0.2 1.1E+04 23 0.66 56.9739 1234 SAFH 2932 1224 0 0.2 9.4E+03 23 0.4 56.9739 1235 SAFH 2934 1225 0 0.2 1.5E+04 22 2.9 55.0483 1236 SAFH 2936 1226 0 0.2 8.8E+03 21 0.082 56.9739 1237 SAFH 2938 1227 0 0.2 15 21 0.035 56.9739 1238 SAFH 2945 1228 0 0.2 4.3E+03 21 0.46 56.0031 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1239 SAFH 2946 1229 0 0.2 55 21 0.12 56.0031 1240 SAFH 2950 1230 0 0.2 42 21 0.038 56.0031 1241 SAFH 2955 1231 0 0.2 1.4E+04 19 0.75 57.0683 1242 SAFH 2958 1232 0 0.2 1.9E+04 21 0.14 65.8438 1243 SAFH 2961 1233 0 0.2 2.2E+03 22 0.28 65.8438 1244 SAFH 2963 1234 0 0.2 1.7E+04 22 0.33 56.6459 1245 SAFH 2966 1235 0 0.2 1.9E+04 23 0.24 65.8438 1246 SAFH 2968 1236 0 0.2 1.9E+04 24 17 66.7356 1247 SAFH 2969 1237 0 0.2 2.1E+04 22 1.7 56.6459 1248 SAFH 2972 1238 0 0.2 1.8E+04 18 0.34 53.7343 1249 SAFH 2973 1239 0 0.2 1.5E+04 24 0.24 60.0592 1250 SAFH 2975 1240 0 0.2 1.8E+04 18 0.12 53.154 1251 SAFH 2978 1241 0 0.2 1.3E+04 21 4 57.0683 1252 SAFH 2979 1242 0 0.2 1E+02 21 1 57.0683 1253 SAFH 2982 1243 0 0.2 1.4E+04 15 0.052 54.705 1254 SAFH 2987 1244 0 0.2 1.7E+04 23 5.6 57.8983 1255 SAFH 2988 1245 0 0.2 1.8E+04 23 2.4E+02 63.2187 1256 SAFH 2989 1246 0 0.2 1.6E+04 20 0.085 52.7636 1257 SAFH 2991 1247 0 0.2 1.7E+04 17 0.34 56.6459 1258 SAFH 2992 1248 0 0.2 82 18 0.4 56.6459 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1259 SAFH 2994 1249 0 0.2 53 18 0.099 56.6459 1260 SAFH 3001 1250 0 0.2 1.5E+04 22 0.098 57.5414 1261 SAFH 3003 1251 0 0.2 1.3E+04 21 2.1 54.3018 1262 SAFH 3004 1252 0 0.2 2E+04 23 4.6 57.7628 1263 SAFH 3006 1253 0 0.2 2E+04 21 0.81 54.3018 1264 SAFH 3008 1254 0 0.2 43 21 0.13 54.3018 1265 SAFH 3011 1255 0 0.2 96 21 0.15 54.3018 1266 SAFH 3013 1256 0 0.2 35 21 0.038 54.3018 1267 SAFH 3019 1257 0 0.2 29 21 0.035 54.3018 1268 SAFH 3021 1258 0 0.2 11 20 0.02 54.3018 1269 SAFH 3023 1259 0 0.2 46 20 0.038 54.3018 1270 SAFH 3024 1260 0 0.2 1.9E+04 23 0.22 65.8438 1271 SAFH 3025 1261 0 0.2 1.9E+04 22 0.35 54.1945 1272 SAFH 3026 1262 0 0.2 2.1E+02 22 0.17 54.1945 1273 SAFH 3028 1263 0 0.2 1.6E+02 22 0.072 54.1945 1274 SAFH 3035 1264 0 0.2 1E+04 20 0.39 54.4898 1275 SAFH 3037 1265 0 0.2 1.3E+04 18 0.26 53.7343 1276 SAFH 3039 1266 0 0.2 30 18 0.065 53.7343 1277 SAFH 3042 1267 0 0.2 1.6E+04 25 0.51 63.2187 1278 SAFH 3044 1268 0 0.2 1.8E+04 20 0.56 55.0573 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1279 SAFH 3045 1269 0 0.2 1.6E+04 18 0.037 53.7343 1280 SAFH 3048 1270 0 0.2 8.8 18 0.017 53.7343 1281 SAFH 3056 1271 0 0.2 34 18 0.0087 53.7343 1282 SAFH 3060 1272 0 0.2 1.2E+04 24 0.22 60.0592 1283 SAFH 3063 1273 0 0.2 1.3E+04 18 0.083 52.7636 1284 SAFH 3065 1274 0 0.2 2.9E+03 16 0.098 52.7636 1285 SAFH 3068 1275 0 0.2 3.1E+02 16 0.034 52.7636 1286 SAFH 3074 1276 0 0.2 4.2E+02 16 0.046 52.7636 1287 SAFH 3079 1277 0 0.2 1.5E+03 19 0.11 52.7636 1288 SAFH 3080 1278 0 0.2 8.6E+02 22 0.11 52.7636 1289 SAFH 3081 1279 0 0.2 3.5E+02 20 0.077 52.7636 1290 SAFH 3082 1280 0 0.2 2.4E+03 17 0.072 52.7636 1291 SAFH 3084 1281 0 0.2 24 17 0.022 52.7636 1292 SAFH 3087 1282 0 0.2 17 17 0.019 52.7636 1293 SAFH 3089 1283 0 0.2 14 16 0.0069 52.7636 1294 SAFH 3094 1284 0 0.2 3.8 15 0.0026 52.7636 1295 SAFH 3097 1285 0 0.2 5.4 15 0.0018 52.7636 1296 SAFH 3100 1286 0 0.2 7.3 14 0.0011 52.7636 1297 SAFH 3102 1287 0 0.2 2 14 0.00054 52.7636 1298 SAFH 3103 1288 0 0.2 4.9 14 0.0018 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1299 SAFH 3104 1289 0 0.2 1.8 14 0.00045 52.7636 1300 SAFH 3105 1290 0 0.2 0.89 14 0.00042 52.7636 1301 SAFH 3106 1291 0 0.2 2.9 14 0.00031 52.7636 1302 SAFH 3107 1292 0 0.2 0.93 12 0.00028 52.7636 1303 SAFH 3108 1293 0 0.2 0.93 13 0.00019 52.7636 1304 SAFH 3109 1294 0 0.2 0.00047 12 0.00015 52.7636 1305 SAFH 3110 1295 0 0.2 0.00038 11 0.00013 52.7636 1306 SAFH 3111 1296 0 0.2 1.3 12 0.00016 52.7636 1307 SAFH 3112 1297 0 0.2 0.98 11 0.00012 52.7636 1308 SAFH 3113 1298 0 0.2 0.00035 10 0.00011 52.7636 1309 SAFH 3114 1299 0 0.2 0.51 12 9.2E-05 52.7636 1310 SAFH 3115 1300 0 0.2 0.00021 11 7.1E-05 52.7636 1311 SAFH 3116 1301 0 0.2 0.44 10 9.4E-05 52.7636 1312 SAFH 3117 1302 0 0.2 0.66 10 4.7E-05 52.7636 1313 SAFH 3118 1303 0 0.2 0.21 11 3E-05 52.7636 1314 SAFH 3119 1304 0 0.2 1.2E+04 20 0.29 54.1945 1315 SAFH 3121 1305 0 0.2 2.9E+02 20 0.14 54.1945 1316 SAFH 3123 1306 0 0.2 4.5E+02 20 0.092 54.1945 1317 SAFH 3128 1307 0 0.2 5.7E+02 20 0.51 54.1945 1318 SAFH 3130 1308 0 0.2 3.3E+02 20 0.92 54.1945 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1319 SAFH 3131 1309 0 0.2 2.4E+02 20 0.1 54.1945 1320 SAFH 3135 1310 0 0.2 1.6E+03 22 0.22 54.1945 1321 SAFH 3136 1311 0 0.2 2.2E+02 22 0.069 54.1945 1322 SAFH 3140 1312 0 0.2 2.6E+02 22 0.067 54.1945 1323 SAFH 3147 1313 0 0.2 3.9E+02 22 0.078 54.1945 1324 SAFH 3148 1314 0 0.2 16 22 0.031 54.1945 1325 SAFH 3155 1315 0 0.2 1.5E+04 18 0.27 52.6324 1326 SAFH 3156 1316 0 0.2 1.7E+04 18 0.74 55.2725 1327 SAFH 3159 1317 0 0.2 2.1E+04 25 0.096 62.9003 1328 SAFH 3163 1318 0 0.2 1.9E+04 22 0.24 55.0483 1329 SAFH 3165 1319 0 0.2 1.2E+04 22 0.095 56.9739 1330 SAFH 3171 1320 0 0.2 1.5E+04 22 0.2 53.519 1331 SAFH 3172 1321 0 0.2 1E+03 20 0.11 53.519 1332 SAFH 3175 1322 0 0.2 86 20 0.11 53.519 1333 SAFH 3177 1323 0 0.2 5.8E+02 19 0.15 53.519 1334 SAFH 3180 1324 0 0.2 1.1E+04 18 0.05 53.7343 1335 SAFH 3182 1325 0 0.2 21 18 0.013 53.7343 1336 SAFH 3188 1326 0 0.2 5.5E+03 12 0.00032 52.7636 1337 SAFH 3189 1327 0 0.2 8.9E+03 22 0.54 53.519 1338 SAFH 3191 1328 0 0.2 3.2E+03 18 0.49 53.519 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1339 SAFH 3192 1329 0 0.2 3.8E+02 19 0.94 53.519 1340 SAFH 3193 1330 0 0.2 1.1E+04 18 0.0053 53.7343 1341 SAFH 3196 1331 0 0.2 1.2 16 0.0023 53.7343 1342 SAFH 3202 1332 0 0.2 5.9 17 0.00067 53.7343 1343 SAFH 3203 1333 0 0.2 5.5E+03 13 0.00026 52.7636 1344 SAFH 3204 1334 0 0.2 0.74 11 0.00022 52.7636 1345 SAFH 3205 1335 0 0.2 1.6 13 0.00013 52.7636 1346 SAFH 3206 1336 0 0.2 0.79 12 6.4E-05 52.7636 1347 SAFH 3207 1337 0 0.2 0.33 11 5.8E-05 52.7636 1348 SAFH 3208 1338 0 0.2 0.67 12 4.1E-05 52.7636 1349 SAFH 3209 1339 0 0.2 0.0001 11 3.3E-05 52.7636 1350 SAFH 3210 1340 0 0.2 6.7E-05 10 2.3E-05 52.7636 1351 SAFH 3211 1341 0 0.2 0.28 10 1.8E-05 52.7636 1352 SAFH 3212 1342 0 0.2 2.1E-05 9 1.6E-05 52.7636 1353 SAFH 3213 1343 0 0.2 0.17 9 1.9E-05 52.7636 1354 SAFH 3214 1344 0 0.2 4.8E-05 8 1.2E-05 52.7636 1355 SAFH 3215 1345 0 0.2 0.21 8 8E-06 52.7636 1356 SAFH 3216 1346 0 0.2 2E-05 7 6.1E-06 52.7636 1357 SAFH 3217 1347 0 0.2 1.5E-05 6 5.1E-06 52.7636 1358 SAFH 3218 1348 0 0.2 9.6E-06 5 4.2E-06 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1359 SAFH 3219 1349 0 0.2 1E-05 4 4E-06 52.7636 1360 SAFH 3220 1350 0 0.2 0.084 3 2.9E-06 52.7636 1361 SAFH 3221 1351 0 0.2 0.1 2 2.8E-06 52.7636 1362 SAFH 3222 1352 0 0.2 0.27 3 1.2E-06 52.7636 1363 SAFH 3223 1353 0 0.2 3.3E-06 2 1.1E-06 52.7636 1364 SAFH 3224 1354 0 0.2 0.053 1 1.2E-06 52.7636 1365 SAFH 3225 1355 0 0.2 0.16 1 1E-06 52.7636 1366 SAFJL 3226 1356 0 0.2 0.049 0 5.8E-07 52.7636 1367 SAFH 3198 1355 0 0.1 1.4E+04 23 0.086 59.6607 1368 SAFH 3203 1356 0 0.1 1.4E+04 16 0.057 52.7636 1369 SAFH 3205 1357 0 0.1 6.1E+03 15 0.1 52.6324 1370 SAFH 3208 1358 0 0.1 1.5E+04 20 0.86 53.3311 1371 SAFH 3209 1359 0 0.1 1.6E+04 19 0.49 53.5425 1372 SAFH 3212 1360 0 0.1 1.5E+04 16 0.79 53.6031 1373 SAFH 3213 1361 0 0.1 6.3E+03 15 0.061 52.6324 1374 SAFH 3216 1362 0 0.1 6.1E+03 16 0.027 52.7636 1375 SAFH 3221 1363 0 0.1 8.9E+03 22 0.51 53.519 1376 SAFH 3222 1364 0 0.1 1.3E+04 15 0.023 52.6324 1377 SAFH 3225 1365 0 0.1 19 15 0.017 52.6324 1378 SAFH 3228 1366 0 0.1 13 15 0.0078 52.6324 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1379 SAFH 3231 1367 0 0.1 8.3 14 0.0082 52.6324 1380 SAFH 3232 1368 0 0.1 6.7 14 0.0035 52.6324 1381 SAFH 3239 1369 0 0.1 6E+03 16 0.069 52.7636 1382 SAFH 3240 1370 0 0.1 21 16 0.013 52.7636 1383 SAFH 3246 1371 0 0.1 1.9E+04 23 0.081 65.8438 1384 SAFH 3252 1372 0 0.1 2.1E+04 13 0.0013 52.6324 1385 SAFH 3254 1373 0 0.1 6E+03 16 0.0051 52.7636 1386 SAFH 3260 1374 0 0.1 6E+03 11 0.00067 52.6324 1387 SAFH 3261 1375 0 0.1 1.5 13 0.00067 52.6324 1388 SAFH 3262 1376 0 0.1 2.9 12 0.001 52.6324 1389 SAFH 3263 1377 0 0.1 11 14 0.0054 52.6324 1390 SAFH 3264 1378 0 0.1 4.9 14 0.0042 52.6324 1391 SAFH 3266 1379 0 0.1 14 13 0.00068 52.6324 1392 SAFH 3267 1380 0 0.1 4.5 13 0.0013 52.6324 1393 SAFH 3268 1381 0 0.1 2.5 13 0.001 52.6324 1394 SAFH 3269 1382 0 0.1 3.6 13 0.00068 52.6324 1395 SAFH 3270 1383 0 0.1 1.2 12 0.00047 52.6324 1396 SAFH 3271 1384 0 0.1 2.1E+04 24 0.093 65.8438 1397 SAFH 3277 1385 0 0.1 2.1E+04 11 0.00051 52.6324 1398 SAFH 3278 1386 0 0.1 1.2 11 0.00028 52.6324 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1399 SAFH 3279 1387 0 0.1 5.8 11 0.00027 52.6324 1400 SAFH 3280 1388 0 0.1 0.8 12 0.00026 52.6324 1401 SAFH 3281 1389 0 0.1 1.1 12 0.00017 52.6324 1402 SAFH 3282 1390 0 0.1 0.62 12 0.00017 52.6324 1403 SAFH 3283 1391 0 0.1 2.1 13 0.00013 52.6324 1404 SAFH 3284 1392 0 0.1 6E+03 16 0.0068 52.7636 1405 SAFH 3287 1393 0 0.1 6.6 16 0.0035 52.7636 1406 SAFH 3288 1394 0 0.1 3.6 16 0.0017 52.7636 1407 SAFH 3292 1395 0 0.1 6.3 15 0.0011 52.7636 1408 SAFH 3293 1396 0 0.1 6E+03 12 0.00016 52.6324 1409 SAFH 3294 1397 0 0.1 1.1 13 9.7E-05 52.6324 1410 SAFH 3295 1398 0 0.1 0.65 13 0.00013 52.6324 1411 SAFH 3296 1399 0 0.1 0.39 13 6.4E-05 52.6324 1412 SAFH 3297 1400 0 0.1 1.8E+04 22 10 54.3018 1413 SAFH 3298 1401 0 0.1 1.3E+04 20 0.48 56.9739 1414 SAFH 3300 1402 0 0.1 1.7E+04 11 4.2E-05 52.6324 1415 SAFH 3301 1403 0 0.1 0.28 12 4.1E-05 52.6324 1416 SAFH 3302 1404 0 0.1 0.38 13 3.1E-05 52.6324 1417 SAFH 3303 1405 0 0.1 2.1 12 0.00014 52.6324 1418 SAFH 3304 1406 0 0.1 0.79 11 3.4E-05 52.6324 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1419 SAFH 3305 1407 0 0.1 0.4 12 2.4E-05 52.6324 1420 SAFH 3306 1408 0 0.1 0.28 12 1.9E-05 52.6324 1421 SAFH 3307 1409 0 0.1 0.79 11 2.3E-05 52.6324 1422 SAFH 3308 1410 0 0.1 6.4E-06 10 1.1E-05 52.6324 1423 SAFH 3309 1411 0 0.1 0.14 11 1.1E-05 52.6324 1424 SAFH 3310 1412 0 0.1 2.5E-05 10 1E-05 52.6324 1425 SAFH 3311 1413 0 0.1 0.19 9 8.5E-06 52.6324 1426 SAFH 3312 1414 0 0.1 0.2 9 7.7E-06 52.6324 1427 SAFH 3313 1415 0 0.1 1.8E-05 8 6.1E-06 52.6324 1428 SAFH 3314 1416 0 0.1 0.14 7 4.6E-06 52.6324 1429 SAFH 3315 1417 0 0.1 0.17 7 2.7E-06 52.6324 1430 SAFH 3316 1418 0 0.1 6.4E-07 6 2.6E-06 52.6324 1431 SAFH 3317 1419 0 0.1 0.076 5 2.8E-06 52.6324 1432 SAFH 3318 1420 0 0.1 0.4 4 4.8E-06 52.6324 1433 SAFH 3319 1421 0 0.1 0.25 5 2.5E-06 52.6324 1434 SAFH 3320 1422 0 0.1 0.092 4 2E-06 52.6324 1435 SAFH 3321 1423 0 0.1 0.13 3 1.2E-06 52.6324 1436 SAFH 3322 1424 0 0.1 0.075 2 2.1E-06 52.6324 1437 SAFH 3323 1425 0 0.1 0.048 1 1.1E-06 52.6324 1438 SAFH 3324 1426 0 0.1 6E+03 14 0.0009 52.7636 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1439 SAFH 3325 1427 0 0.1 9.9E+03 20 0.15 53.519 1440 SAFH 3328 1428 0 0.1 1.1E+04 17 0.28 53.7343 1441 SAFH 3331 1429 0 0.1 8.5E+03 2 2.1E-06 52.6324 1442 SAFH 3332 1430 0 0.1 5.8E-07 1 1.1E-06 52.6324 1443 SAFJ 3333 1431 0 0.1 0.059 0 8.4E-07 52.6324 1444 AFH 3333 1431 0 0 1.5E+04 16 7.4E+02 52.3851 1445 AFH 3334 1432 0 0 1.1E+04 19 35 52.4611 1446 AFG 3335 1433 0 0 5.1E+02 0 4.8E-08 52.4611 1446 FOUND SOLUTION: 52.4611 (NLP) in 3406 sec. 1447 AFH 3335 1433 0 0 2.9 18 0.16 52.4611 1448 AFH 3338 1434 0 0 21 17 0.067 52.4611 1449 AFH 3342 1435 0 0 29 18 0.028 52.4611 1450 AFH 3345 1436 0 0 7.4 16 0.028 52.4611 1451 AFH 3346 1437 0 0 15 16 0.013 52.4611 1452 AFH 3351 1438 0 0 11 16 0.011 52.4611 1453 AFH 3353 1439 0 0 14 16 0.0071 52.4611 1454 AFH 3355 1440 0 0 5 15 0.0028 52.4611 1455 AFH 3359 1441 0 0 8.2 16 0.0033 52.4611 1456 AFH 3361 1442 0 0 4.3 15 0.00082 52.4611 1457 AFH 3362 1443 0 0 1.2 15 0.0008 52.4611 1458 AFH 3363 1444 0 0 3.6 16 0.00069 52.4611 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1459 AFH 3364 1445 0 0 2.7 15 0.00059 52.4611 1460 AFH 3365 1446 0 0 1.4 16 0.00049 52.4611 1461 AFH 3366 1447 0 0 1.3 15 0.00048 52.4611 1462 AFH 3367 1448 0 0 0.0022 14 0.00044 52.4611 1463 AFH 3368 1449 0 0 1.3 15 0.00033 52.4611 1464 AFH 3369 1450 0 0 0.0015 14 0.00029 52.4611 1465 AFH 3370 1451 0 0 2.4 14 0.00024 52.4611 1466 AFH 3371 1452 0 0 0.0009 13 0.00015 52.4611 1467 AFH 3372 1453 0 0 0.68 14 0.00018 52.4611 1468 AFH 3373 1454 0 0 1 12 0.00012 52.4611 1469 AFH 3374 1455 0 0 0.64 14 7.4E-05 52.4611 1470 AFH 3375 1456 0 0 0.51 14 0.00021 52.4611 1471 AFH 3376 1457 0 0 0.61 13 6.1E-05 52.4611 1472 AFH 3377 1458 0 0 0.00023 12 6.1E-05 52.4611 1473 AFH 3378 1459 0 0 0.62 11 9.4E-05 52.4611 1474 AFH 3379 1460 0 0 0.9 12 7.6E-05 52.4611 1475 AFH 3380 1461 0 0 0.00013 11 5.1E-05 52.4611 1476 AFH 3381 1462 0 0 0.77 14 5.1E-05 52.4611 1477 AFH 3382 1463 0 0 0.88 11 4.6E-05 52.4611 1478 AFH 3383 1464 0 0 0.34 11 3.7E-05 52.4611 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1479 AFH 3384 1465 0 0 0.34 10 3.1E-05 52.4611 1480 AFH 3385 1466 0 0 0.32 10 2.6E-05 52.4611 1481 AFH 3386 1467 0 0 9.7E-05 9 1.6E-05 52.4611 1482 AFH 3387 1468 0 0 6E-05 8 1.3E-05 52.4611 1483 AFH 3388 1469 0 0 0.15 8 1.6E-05 52.4611 1484 AFH 3389 1470 0 0 0.31 9 1.1E-05 52.4611 1485 AFH 3390 1471 0 0 0.53 9 1.1E-05 52.4611 1486 AFH 3391 1472 0 0 0.27 8 7.7E-06 52.4611 1487 AFH 3392 1473 0 0 0.2 7 7E-06 52.4611 1488 AFH 3393 1474 0 0 1.2E-05 6 6.3E-06 52.4611 1489 AFH 3394 1475 0 0 0.16 6 4E-06 52.4611 1490 AFH 3395 1476 0 0 0.15 6 2.9E-06 52.4611 1491 AFH 3396 1477 0 0 0.11 4 3.6E-06 52.4611 1492 AFH 3397 1478 0 0 0.095 5 2.2E-06 52.4611 1493 AFH 3398 1479 0 0 0.26 4 3E-06 52.4611 1494 AFH 3399 1480 0 0 0.26 3 1.8E-06 52.4611 1495 AFH 3400 1481 0 0 0.079 1 1.2E-06 52.4611 1496 AFJ 3401 1482 0 0 5E-06 0 9.9E-07 52.4611 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.100_nd-10._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 52.461081827000000999 Max constraint (14) : 4.7998355512390844524e-08 Alternative solution : MIP Alt. objective value : 52.461081827000000999 Max constraint (14) : 4.7998355512390844524e-08 Time used (seconds) : 5943.13 Time limit (seconds) : 7200 Iterations used : 1496 Iteration limit : -1 Function evaluations : 122388 Gradient evaluations : 3429 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.8 % Optimal/total MIPs : 53/1496 NLP solver calls : 1497 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- nd-10.gms(549) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job nd-10.gms Stop 09/14/12 16:24:25 elapsed 1:39:03.324 @04 1347632665 ----------------------------- Fr 14. Sep 16:24:25 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/NetworkDesign/gms/nd-12.gms =========== ----------------------------- Fr 14. Sep 14:47:21 CEST 2012 ----------------------------- @03 1347626841 --- Job nd-12.gms Start 09/14/12 14:47:21 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- nd-12.gms(833) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- nd-12.gms(831) 3 Mb --- Generating MINLP model m --- nd-12.gms(833) 5 Mb --- 250 rows 561 columns 2,161 non-zeroes --- 1,640 nl-code 480 nl-non-zeroes --- 40 discrete-columns --- nd-12.gms(833) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.023 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.101_nd-12._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2161 elements of which 22% are non-linear(NL) included in 250 constraints of which 16% are NL The NL constraint signs: =E=(0), =G=(40), =L=(0) The number of variables in NL elements are 480 from a total of 561 variables: Continuous(521), Binary(40), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=78 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (174) infeasibile 0 H 0 0 0 1 0 40 1.2 NA 1 SAFH 40 1 0 1 2.4E+04 37 1.1E+11 92.7252 2 SAFH 41 2 0 1 7.8E+03 36 1.1E+11 92.7252 3 SAFH 42 3 0 1 6E+03 37 4.5E+10 92.7252 4 SAFH 47 4 0 1 9.2E+03 33 9.4E+10 89.2524 5 SAFH 49 5 0 1 9.8E+03 35 7.3E+10 88.9651 6 SAFH 51 6 0 1 7.6E+03 36 2E+11 92.7252 7 SAFH 52 7 0 1 7.3E+03 35 8.8E+10 92.7252 8 SAFH 54 8 0 1 9.4E+03 35 2E+11 91.4995 9 SAFH 55 9 0 1 7.6E+03 36 5.7E+10 92.7252 10 SAFH 57 10 0 1 6.1E+03 35 2.1E+10 92.7252 11 SAFH 62 11 0 1 8.6E+03 34 8.7E+10 92.7252 12 SAFH 63 12 0 1 5E+03 34 3E+10 92.7252 13 SAFH 66 13 0 1 7.8E+03 36 1.1E+11 92.7252 14 SAFH 68 14 0 1 3.7E+03 36 2.3E+10 92.7252 15 SAFH 70 15 0 1 6E+03 36 8.8E+10 92.7252 16 SAFH 71 16 0 1 8E+03 36 4.4E+10 92.7252 17 SAFH 74 17 0 1 7.8E+03 36 7.7E+10 92.7252 18 SAFH 75 18 0 1 7.8E+03 36 1.5E+10 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 79 19 0 1 6.8E+03 35 1.8E+11 92.7252 20 SAFH 81 20 0 1 6E+03 34 4.4E+10 92.7252 21 SAFH 84 21 0 1 6.5E+03 36 2E+11 92.7252 22 SAFH 85 22 0 1 5.8E+03 35 9.4E+10 92.7252 23 SAFH 86 23 0 1 5.9E+03 35 1E+11 92.7252 24 SAFH 87 24 0 1 7.1E+03 36 5.7E+10 92.7252 25 SAFH 88 25 0 1 7.9E+03 36 2.2E+10 92.7252 26 SAFH 90 26 0 1 5.2E+03 36 2.3E+10 92.7252 27 SAFH 91 27 0 1 5E+03 34 5.9E+09 92.7252 28 SAFH 96 28 0 1 6.9E+03 35 5.1E+10 92.7252 29 SAFH 99 29 0 1 9.6E+03 36 4.7E+10 92.7252 30 SAFH 101 30 0 1 6.3E+03 35 2.3E+10 91.4995 31 SAFH 105 31 0 1 7.3E+03 35 4.4E+10 92.7252 32 SAFH 106 32 0 1 4.5E+03 36 1.1E+11 92.7252 33 SAFH 107 33 0 1 1.3E+03 36 1.1E+10 92.7252 34 SAFH 112 34 0 1 8.1E+03 36 3E+09 92.7252 35 SAFH 115 35 0 1 6.5E+03 35 2.6E+10 92.7252 36 SAFH 118 36 0 1 9.3E+03 35 1.2E+10 92.7252 37 SAFH 120 37 0 1 5.4E+03 36 1.4E+10 92.7252 38 SAFH 121 38 0 1 5.8E+03 36 5.9E+09 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 124 39 0 1 8.1E+03 36 1.1E+10 92.7252 40 SAFH 127 40 0 1 6.2E+03 34 5.4E+09 92.7252 41 SAFH 131 41 0 1 8.1E+03 36 1.1E+10 92.7252 42 SAFH 133 42 0 1 7.9E+03 36 1.1E+10 92.7252 43 SAFH 135 43 0 1 6.7E+03 36 2.7E+09 92.7252 44 SAFH 140 44 0 1 5.4E+03 34 4.8E+09 87.7394 45 SAFH 141 45 0 1 7.5E+03 35 7.4E+09 92.7252 46 SAFH 143 46 0 1 4.5E+03 35 2.7E+09 92.7252 47 SAFH 144 47 0 1 7.2E+03 35 3.7E+09 92.7252 48 SAFH 146 48 0 1 8.9E+03 36 7.1E+09 92.7252 49 SAFH 148 49 0 1 6.6E+03 36 2.4E+09 92.7252 50 SAFH 151 50 0 1 7.7E+03 35 1.3E+10 92.7252 51 SAFH 153 51 0 1 8.6E+03 36 9.6E+09 92.7252 52 SAFH 155 52 0 1 7.5E+03 34 4.4E+10 92.7252 53 SAFH 156 53 0 1 1.7E+03 34 3.5E+09 92.7252 54 SAFH 159 54 0 1 6.4E+03 36 9.8E+10 92.7252 55 SAFH 160 55 0 1 2.8E+03 35 4.9E+10 92.7252 56 SAFH 161 56 0 1 5.6E-05 35 2.5E+10 92.7252 57 SAFH 162 57 0 1 0.00011 35 1.2E+10 92.7252 58 SAFH 163 58 0 1 1.1E+03 35 5.7E+10 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 164 59 0 1 7.8E+03 33 1.3E+09 90.8415 60 SAFH 169 60 0 1 9.1E+03 36 2.9E+10 92.7252 61 SAFH 171 61 0 1 3.2E+03 36 6.4E+09 92.7252 62 SAFH 174 62 0 1 8.6E+03 36 4.8E+09 92.7252 63 SAFH 176 63 0 1 7.2E+03 36 2.4E+09 92.7252 64 SAFH 179 64 0 1 6.8E+03 37 1.4E+09 92.7252 65 SAFH 183 65 0 1 4.5E+03 35 1.4E+09 92.7252 66 SAFH 186 66 0 1 7.7E+03 37 1.8E+09 92.7252 67 SAFH 187 67 0 1 6E+03 37 9.2E+08 92.7252 68 SAFH 191 68 0 1 7.3E+03 36 9.2E+09 92.7252 69 SAFH 192 69 0 1 3.9E+03 36 2.8E+09 92.7252 70 SAFH 193 70 0 1 3.1E+03 36 2.2E+10 92.7252 71 SAFH 194 71 0 1 7.5E+03 35 9.2E+09 91.4995 72 SAFH 195 72 0 1 7.4E+03 36 4.6E+09 92.7252 73 SAFH 196 73 0 1 7.8E+03 36 1.1E+10 92.7252 74 SAFH 197 74 0 1 6.7E+03 36 1.4E+09 92.7252 75 SAFH 198 75 0 1 2.4E+03 36 4.6E+09 92.7252 76 SAFH 199 76 0 1 4.8E+03 36 2.3E+09 92.7252 77 SAFH 200 77 0 1 6.3E+03 36 5.4E+09 92.7252 78 SAFH 201 78 0 1 6.7E+03 36 5.5E+09 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 202 79 0 1 5.5E+03 36 2.3E+09 92.7252 80 SAFH 203 80 0 1 4.8E+03 36 6.7E+08 92.7252 81 SAFH 206 81 0 1 5.9E+03 35 2.4E+09 92.7252 82 SAFH 207 82 0 1 5.7E+03 36 1.4E+10 92.7252 83 SAFH 208 83 0 1 0.00018 36 7.1E+09 92.7252 84 SAFH 209 84 0 1 2E+03 36 3.6E+09 92.7252 85 SAFH 211 85 0 1 8.8E+03 35 5.9E+08 89.2524 86 SAFH 215 86 0 1 7E+03 35 2.9E+08 92.7252 87 SAFH 219 87 0 1 7.6E+03 34 2.8E+09 91.4995 88 SAFH 220 88 0 1 4.3E+03 36 1.4E+09 92.7252 89 SAFH 223 89 0 1 7.5E+03 36 1.2E+09 92.7252 90 SAFH 227 90 0 1 9.6E+03 36 2.3E+10 92.7252 91 SAFH 228 91 0 1 8.4E-05 36 1.2E+10 92.7252 92 SAFH 229 92 0 1 0.00017 36 5.9E+09 92.7252 93 SAFH 230 93 0 1 3.9E+02 36 2.9E+09 92.7252 94 SAFH 231 94 0 1 3.9E+02 36 1.5E+09 92.7252 95 SAFH 233 95 0 1 2.6E+03 36 7.3E+08 92.7252 96 SAFH 238 96 0 1 7.7E+03 35 7.1E+08 92.7252 97 SAFH 240 97 0 1 3.3E+03 35 3.3E+08 92.7252 98 SAFH 243 98 0 1 3.6E+04 35 8.9E+08 90.939 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 244 99 0 1 3.5E+03 35 2.3E+08 90.939 100 SAFH 247 100 0 1 3.6E+04 37 6E+08 92.7252 101 SAFH 248 101 0 1 6.8E+03 37 1.8E+08 92.7252 102 SAFH 252 102 0 1 8.5E+03 35 2.7E+09 92.7252 103 SAFH 253 103 0 1 0.00035 35 1.4E+09 92.7252 104 SAFH 254 104 0 1 4.9E+03 36 6.8E+08 92.7252 105 SAFH 256 105 0 1 9.4E+03 36 3.4E+08 92.7252 106 SAFG 259 106 0 1 3.7E+04 0 9.1E-13 89.128 106 FOUND SOLUTION: 89.128 (NLP) in 7 sec. 107 SAFH 259 106 0 1 3E+04 34 4.4E+08 89.128 108 SAFH 262 107 0 1 7.5E+03 35 1.6E+09 91.4995 109 SAFH 264 108 0 1 7.3E+03 35 1E+11 92.7252 110 SAFH 265 109 0 1 6.6E+03 36 5.1E+10 92.7252 111 SAFH 266 110 0 1 1.2E+03 35 2.6E+10 92.7252 112 SAFH 267 111 0 1 9.6E-05 35 1.3E+10 92.7252 113 SAFH 268 112 0 1 0.00019 35 6.4E+09 92.7252 114 SAFH 269 113 0 1 0.00039 35 3.2E+09 92.7252 115 SAFH 270 114 0 1 3E+03 36 1.6E+09 92.7252 116 SAFH 271 115 0 1 5.9E+03 35 8E+08 92.7252 117 SAFH 272 116 0 1 5.5E+03 34 3.5E+08 92.7252 118 SAFH 273 117 0 1 5.1E+03 36 3.3E+08 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 275 118 0 1 5.4E+03 34 1.5E+08 91.4995 120 SAFH 279 119 0 1 8E+03 36 7.2E+07 92.7252 121 SAFH 284 120 0 1 8.5E+03 36 1.8E+09 92.7252 122 SAFH 285 121 0 1 4.5E+03 35 8.9E+08 91.4995 123 SAFH 287 122 0 1 5E+03 35 1.7E+08 92.7252 124 SAFH 291 123 0 1 6.8E+03 37 3.7E+08 92.7252 125 SAFH 292 124 0 1 6.7E+03 34 6.9E+08 91.4995 126 SAFH 293 125 0 1 7.3E+03 36 4.5E+08 92.7252 127 SAFH 294 126 0 1 6.5E+03 34 1.8E+08 91.4995 128 SAFH 296 127 0 1 7.9E+03 36 1.8E+08 92.7252 129 SAFH 298 128 0 1 8.3E+03 37 4.4E+08 92.7252 130 SAFH 299 129 0 1 8.4E+03 35 7.4E+07 91.4995 131 SAFH 301 130 0 1 7.4E+03 35 2.9E+08 91.4995 132 SAFH 302 131 0 1 7.6E+03 36 1.5E+08 92.7252 133 SAFH 303 132 0 1 4.6E+03 36 3.6E+07 92.7252 134 SAFH 307 133 0 1 5.7E+03 35 8.6E+07 92.7252 135 SAFH 308 134 0 1 6.4E+03 35 7.2E+07 92.7252 136 SAFH 310 135 0 1 5.5E+03 35 4E+08 92.7252 137 SAFH 312 136 0 1 5.7E+03 36 8.9E+07 92.7252 138 SAFH 314 137 0 1 8.2E+03 36 2.2E+08 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 317 138 0 1 4.6E+03 35 2.2E+08 92.7252 140 SAFH 318 139 0 1 4.7E+03 35 1.1E+08 92.7252 141 SAFH 320 140 0 1 6E+03 36 3.7E+08 92.7252 142 SAFH 321 141 0 1 4.5E+03 34 1.8E+08 91.4995 143 SAFH 322 142 0 1 3.7E+03 35 7.2E+07 91.4995 144 SAFH 325 143 0 1 5.9E+03 35 8.5E+07 92.7252 145 SAFH 326 144 0 1 1E+04 37 8.9E+07 92.7252 146 SAFH 328 145 0 1 6.6E+03 35 1.5E+08 92.7252 147 SAFH 329 146 0 1 0.0041 35 7.5E+07 92.7252 148 SAFH 331 147 0 1 7.9E+03 36 8.3E+07 91.4995 149 SAFH 333 148 0 1 5.2E+03 35 2.9E+07 92.7252 150 SAFH 336 149 0 1 6.6E+03 33 1.2E+07 91.4995 151 SAFH 341 150 0 1 7.2E+03 36 1.7E+08 92.7252 152 SAFH 342 151 0 1 6.7E+03 36 1.1E+08 92.7252 153 SAFH 344 152 0 1 8.5E+03 35 8.6E+07 91.4995 154 SAFH 346 153 0 1 9E+03 35 8E+08 92.7252 155 SAFH 347 154 0 1 2.4E+03 36 4E+08 92.7252 156 SAFH 348 155 0 1 5.1E+03 34 2E+08 92.7252 157 SAFH 349 156 0 1 5E+03 35 5.5E+07 92.7252 158 SAFH 351 157 0 1 7.1E+03 36 6E+08 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 352 158 0 1 0.0019 36 3E+08 92.7252 160 SAFH 353 159 0 1 4.3E+03 36 4.5E+07 92.7252 161 SAFH 356 160 0 1 7.1E+03 36 4.2E+07 92.7252 162 SAFH 361 161 0 1 7.5E+03 36 2.1E+07 92.7252 163 SAFH 364 162 0 1 6.7E+03 35 5.8E+06 92.7252 164 SAFH 368 163 0 1 5.5E+03 36 1E+08 92.7252 165 SAFH 369 164 0 1 7E+03 35 2.8E+07 92.7252 166 SAFH 372 165 0 1 7.4E+03 36 1.5E+07 92.7252 167 SAFH 375 166 0 1 8.1E+03 33 2.2E+07 90.4781 168 SAFH 377 167 0 1 4.5E+03 36 2E+08 92.7252 169 SAFH 378 168 0 1 5.8E+03 36 4.3E+07 91.4995 170 SAFH 380 169 0 1 7.1E+03 37 1.1E+07 92.7252 171 SAFH 383 170 0 1 7.8E+03 35 5.5E+07 92.7252 172 SAFH 384 171 0 1 5E+03 35 9.2E+06 92.7252 173 SAFH 386 172 0 1 6.3E+03 36 2.9E+06 92.7252 174 SAFH 389 173 0 1 5.2E+03 36 5E+07 92.7252 175 SAFH 391 174 0 1 7.1E+03 35 2.2E+07 92.7252 176 SAFH 392 175 0 1 7.8E+03 36 1.4E+07 92.7252 177 SAFH 395 176 0 1 6.7E+03 36 4.6E+06 92.7252 178 SAFH 398 177 0 1 5.2E+03 36 1.1E+08 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 399 178 0 1 2.8E+03 35 3.6E+07 92.7252 180 SAFH 401 179 0 1 7.2E+03 36 1.9E+07 92.7252 181 SAFH 403 180 0 1 9.1E+03 35 4.2E+07 92.7252 182 SAFH 404 181 0 1 5.7E+03 36 1.8E+07 92.7252 183 SAFH 405 182 0 1 5.7E+03 35 2.1E+07 92.7252 184 SAFH 406 183 0 1 5.7E+03 36 9E+06 92.7252 185 SAFH 408 184 0 1 6.8E+03 35 1.1E+07 92.7252 186 SAFH 410 185 0 1 6.7E+03 35 5.5E+06 92.7252 187 SAFH 413 186 0 1 5.2E+03 36 3.6E+06 92.7252 188 SAFH 416 187 0 1 7.5E+03 36 1.4E+07 92.7252 189 SAFH 418 188 0 1 6.5E+03 35 9.2E+06 92.7252 190 SAFH 419 189 0 1 4.6E+03 36 2.2E+07 92.7252 191 SAFH 420 190 0 1 4.3E+03 36 5.6E+07 92.7252 192 SAFH 421 191 0 1 0.016 36 2.8E+07 92.7252 193 SAFH 423 192 0 1 6.1E+03 34 5.7E+06 92.7252 194 SAFH 426 193 0 1 6.6E+03 35 5.5E+06 92.7252 195 SAFH 428 194 0 1 8.6E+03 35 1.2E+07 91.4995 196 SAFH 431 195 0 1 1E+04 36 9.4E+06 92.7252 197 SAFH 433 196 0 1 9.1E+03 36 5.3E+06 92.7252 198 SAFH 435 197 0 1 8.5E+03 35 1E+08 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 436 198 0 1 0.023 35 5E+07 92.7252 200 SAFH 437 199 0 1 4.3E+03 36 2E+11 92.7252 201 SAFH 438 200 0 0.5 3.5E+03 36 2.7E+06 92.7252 202 SAFH 445 201 0 0.5 6.6E+03 36 3.5E+06 92.7252 203 SAFH 448 202 0 0.5 8.5E+03 34 6.1E+09 88.3204 204 SAFH 449 203 0 0.5 0.00032 34 3.1E+09 88.3204 205 SAFH 450 204 0 0.5 0.00064 34 1.5E+09 88.3204 206 SAFG 451 205 0 0.5 2.9E+04 0 1.8E-12 88.3204 206 FOUND SOLUTION: 88.3204 (NLP) in 14 sec. 207 SAFH 451 205 0 0.5 2.9E+04 34 7.7E+08 88.3204 208 SAFH 452 206 0 0.5 0.0026 34 3.8E+08 88.3204 209 SAFH 453 207 0 0.5 5.4E+03 36 1.3E+06 92.7252 210 SAFH 458 208 0 0.5 6E+03 36 6.2E+06 92.7252 211 SAFH 459 209 0 0.5 7.6E+03 35 9E+10 92.7252 212 SAFH 460 210 0 0.5 4.3E+03 35 6.9E+06 92.7252 213 SAFH 462 211 0 0.5 5.5E+03 36 2.7E+06 92.7252 214 SAFH 463 212 0 0.5 6.9E+03 36 1.7E+06 92.7252 215 SAFH 466 213 0 0.5 5.5E+03 36 5.4E+06 92.7252 216 SAFH 467 214 0 0.5 5.7E+03 36 1.8E+06 92.7252 217 SAFH 468 215 0 0.5 7.5E+03 36 2.8E+06 92.7252 218 SAFH 469 216 0 0.5 6E+03 35 1.4E+07 91.4995 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 470 217 0 0.5 4.9E+03 36 4.5E+06 92.7252 220 SAFH 471 218 0 0.5 5.9E+03 35 3.1E+06 91.4995 221 SAFH 473 219 0 0.5 9.4E+03 36 1.4E+06 92.7252 222 SAFH 477 220 0 0.5 7.3E+03 35 2.3E+06 92.7252 223 SAFH 478 221 0 0.5 6.9E+03 35 1.3E+06 91.4995 224 SAFH 480 222 0 0.5 7.6E+03 36 9E+05 92.7252 225 SAFH 484 223 0 0.5 7.9E+03 36 1.9E+06 92.7252 226 SAFH 486 224 0 0.5 7.6E+03 34 2.3E+06 88.3204 227 SAFH 489 225 0 0.5 7.8E+03 35 8.7E+05 92.7252 228 SAFH 493 226 0 0.5 7.5E+03 35 2.2E+06 92.7252 229 SAFH 494 227 0 0.5 7.7E+03 34 9.1E+07 89.5461 230 SAFH 495 228 0 0.5 0.013 34 4.6E+07 89.5461 231 SAFH 496 229 0 0.5 0.027 34 2.3E+07 89.5461 232 SAFH 497 230 0 0.5 4.2E+03 35 3.5E+06 89.5461 233 SAFH 498 231 0 0.5 8E+03 35 6.6E+05 91.4995 234 SAFH 502 232 0 0.5 8E+03 36 6.8E+05 92.7252 235 SAFH 504 233 0 0.5 4.8E+03 36 1.7E+06 92.7252 236 SAFH 505 234 0 0.5 6.4E+03 34 4.5E+05 92.7252 237 SAFH 511 235 0 0.5 8.1E+03 35 7E+06 91.4995 238 SAFH 512 236 0 0.5 3.9E+03 34 3.5E+06 91.4995 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 513 237 0 0.5 5.2E+03 34 1.7E+06 92.7252 240 SAFH 515 238 0 0.5 4E+03 33 8.7E+05 91.4995 241 SAFH 518 239 0 0.5 8.9E+03 35 1.2E+06 91.4995 242 SAFH 519 240 0 0.5 5.9E+03 35 2.8E+05 92.7252 243 SAFH 522 241 0 0.5 3.6E+03 35 1.6E+05 92.7252 244 SAFH 526 242 0 0.5 6E+03 36 6.7E+05 92.7252 245 SAFH 528 243 0 0.5 6.6E+03 36 1.6E+06 92.7252 246 SAFH 530 244 0 0.5 8.6E+03 35 4.3E+05 92.7252 247 SAFH 531 245 0 0.5 8E+03 35 7.8E+05 91.4995 248 SAFH 532 246 0 0.5 7.4E+03 35 1.8E+05 92.7252 249 SAFH 535 247 0 0.5 5.6E+03 35 5.9E+05 92.7252 250 SAFH 538 248 0 0.5 8E+03 35 2.2E+05 92.7252 251 SAFH 540 249 0 0.5 7.2E+03 33 4.6E+05 92.7252 252 SAFH 542 250 0 0.5 9.4E+03 36 1.1E+07 89.3411 253 SAFH 543 251 0 0.5 0.049 36 5.7E+06 89.3411 254 SAFH 544 252 0 0.5 5.1E+03 35 1.9E+11 89.3411 255 SAFH 545 253 0 0.5 8.1E+03 36 3.5E+05 92.7252 256 SAFH 546 254 0 0.5 5.2E+03 36 9.4E+10 92.7252 257 SAFH 547 255 0 0.5 4.4E-05 36 4.7E+10 92.7252 258 SAFH 548 256 0 0.5 8.8E-05 36 2.3E+10 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 549 257 0 0.5 0.00018 36 1.2E+10 92.7252 260 SAFH 550 258 0 0.5 0.00035 36 5.9E+09 92.7252 261 SAFH 551 259 0 0.5 0.00071 36 2.9E+09 92.7252 262 SAFH 552 260 0 0.5 0.0014 36 1.5E+09 92.7252 263 SAFH 553 261 0 0.5 0.0028 36 7.3E+08 92.7252 264 SAFH 554 262 0 0.5 0.0057 36 3.7E+08 92.7252 265 SAFH 555 263 0 0.5 0.011 36 1.8E+08 92.7252 266 SAFH 556 264 0 0.5 0.023 36 9.2E+07 92.7252 267 SAFH 557 265 0 0.5 0.045 36 4.6E+07 92.7252 268 SAFH 558 266 0 0.5 0.09 36 2.3E+07 92.7252 269 SAFH 559 267 0 0.5 0.18 36 1.1E+07 92.7252 270 SAFH 560 268 0 0.5 5.1E+03 36 2.9E+06 92.7252 271 SAFH 561 269 0 0.5 3.8E+03 35 1.7E+05 92.7252 272 SAFH 563 270 0 0.5 7.9E+03 36 2.3E+05 92.7252 273 SAFH 564 271 0 0.5 5.3E+03 36 1.4E+06 92.7252 274 SAFH 565 272 0 0.5 2.8E+03 36 2.3E+05 92.7252 275 SAFH 566 273 0 0.5 6.2E+03 35 1.1E+06 92.7252 276 SAFH 567 274 0 0.5 6.5E+03 35 8.7E+05 90.3537 277 SAFH 569 275 0 0.5 9.4E+03 35 2.7E+06 91.4995 278 SAFH 570 276 0 0.5 6.5E+03 36 3.6E+05 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 571 277 0 0.5 6.8E+03 35 1.4E+05 92.7252 280 SAFH 574 278 0 0.5 8.3E+03 35 5.6E+05 92.7252 281 SAFH 576 279 0 0.5 5E+03 35 1.9E+11 92.7252 282 SAFH 577 280 0 0.5 1.5E+03 35 1.7E+05 92.7252 283 SAFH 579 281 0 0.5 6.2E+03 35 8.1E+04 92.7252 284 SAFH 583 282 0 0.5 7.2E+03 36 3.9E+05 92.7252 285 SAFH 585 283 0 0.5 7.7E+03 36 1.7E+05 92.7252 286 SAFH 586 284 0 0.5 6.8E+03 35 2.3E+05 92.7252 287 SAFH 587 285 0 0.5 6.6E+03 34 1.1E+05 92.7252 288 SAFH 588 286 0 0.5 4.6E+03 36 4.5E+04 92.7252 289 SAFH 592 287 0 0.5 8.3E+03 36 1.7E+05 92.7252 290 SAFH 594 288 0 0.5 7.5E+03 36 1.9E+05 92.7252 291 SAFH 595 289 0 0.5 8.1E+03 35 3.6E+05 92.7252 292 SAFH 597 290 0 0.5 4E+03 34 1.8E+05 92.7252 293 SAFH 599 291 0 0.5 5.9E+03 35 8.7E+04 92.7252 294 SAFH 602 292 0 0.5 8.5E+03 36 7E+04 92.7252 295 SAFH 606 293 0 0.5 6.9E+03 36 2.3E+04 92.7252 296 SAFH 609 294 0 0.5 6.7E+03 35 9.7E+04 92.7252 297 SAFH 611 295 0 0.5 9.3E+03 36 5.6E+04 92.7252 298 SAFH 614 296 0 0.5 7.3E+03 36 4.1E+04 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 617 297 0 0.5 7.7E+03 36 4.3E+04 92.7252 300 SAFH 618 298 0 0.5 7.1E+03 35 1.4E+05 91.4995 301 SAFH 619 299 0 0.5 7.8E+03 36 2E+04 92.7252 302 SAFH 623 300 0 0.5 5.6E+03 36 1.1E+04 92.7252 303 SAFH 626 301 0 0.5 6.6E+03 35 4.3E+04 92.7252 304 SAFH 629 302 0 0.5 6.9E+03 36 1.8E+05 92.7252 305 SAFH 630 303 0 0.5 3.5E+03 36 7E+04 92.7252 306 SAFH 631 304 0 0.5 4.9E+03 36 4.8E+04 92.7252 307 SAFH 634 305 0 0.5 7.5E+03 36 2.9E+05 92.7252 308 SAFH 635 306 0 0.5 2.1 36 1.5E+05 92.7252 309 SAFH 638 307 0 0.5 5.9E+03 36 4.3E+05 92.7252 310 SAFH 639 308 0 0.5 1.6 36 2.2E+05 92.7252 311 SAFH 640 309 0 0.5 5.1E+03 36 7.3E+04 92.7252 312 SAFH 642 310 0 0.5 6.7E+03 35 2.8E+04 92.7252 313 SAFH 644 311 0 0.5 9.1E+03 35 5.7E+05 92.7252 314 SAFH 645 312 0 0.5 5.2E+03 36 1.3E+06 92.7252 315 SAFH 646 313 0 0.5 3.9E+03 35 3.6E+04 92.7252 316 SAFH 648 314 0 0.5 6.2E+03 35 6.7E+05 89.3411 317 SAFH 649 315 0 0.5 6.2E+03 36 8.9E+04 92.7252 318 SAFH 650 316 0 0.5 4.6E+03 36 2.2E+04 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 655 317 0 0.5 8.1E+03 36 2E+04 92.7252 320 SAFH 657 318 0 0.5 6.9E+03 36 1E+04 92.7252 321 SAFH 660 319 0 0.5 4.3E+03 36 2.2E+04 92.7252 322 SAFH 662 320 0 0.5 8.4E+03 36 1E+04 92.7252 323 SAFH 665 321 0 0.5 5.6E+03 35 1.5E+04 89.4 324 SAFH 667 322 0 0.5 6.7E+03 36 8.6E+03 92.7252 325 SAFH 671 323 0 0.5 7.1E+03 35 1.1E+04 92.7252 326 SAFH 673 324 0 0.5 5.8E+03 36 2.4E+04 92.7252 327 SAFH 674 325 0 0.5 8.9E+03 36 1E+04 92.7252 328 SAFH 676 326 0 0.5 8E+03 33 4.4E+04 88.6919 329 SAFH 677 327 0 0.5 5.3E+03 36 2.2E+04 92.7252 330 SAFH 678 328 0 0.5 3.2E+03 36 6.4E+03 92.7252 331 SAFH 679 329 0 0.5 6.7E+03 36 1.1E+04 92.7252 332 SAFH 680 330 0 0.5 3.4E+03 36 2.2E+05 92.7252 333 SAFH 681 331 0 0.5 2E+03 36 1.1E+05 92.7252 334 SAFH 682 332 0 0.5 7.3 36 5.4E+04 92.7252 335 SAFH 683 333 0 0.5 2.8E+03 36 2.9E+03 92.7252 336 SAFH 688 334 0 0.5 7.3E+03 34 1.9E+08 87.299 337 SAFH 689 335 0 0.5 0.011 34 9.6E+07 87.299 338 SAFH 690 336 0 0.5 0.023 34 4.8E+07 87.299 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 691 337 0 0.5 0.045 34 2.4E+07 87.299 340 SAFH 692 338 0 0.5 0.09 34 1.2E+07 87.299 341 SAFH 693 339 0 0.5 6.7E+03 36 1.2E+04 92.7252 342 SAFH 696 340 0 0.5 9.8E+03 36 3.6E+04 92.7252 343 SAFH 697 341 0 0.5 1.1E+03 36 1.8E+04 92.7252 344 SAFH 698 342 0 0.5 5.1E+03 36 5E+03 92.7252 345 SAFH 702 343 0 0.5 5.8E+03 35 4.9E+03 92.7252 346 SAFH 704 344 0 0.5 6.2E+03 36 3.3E+03 92.7252 347 SAFH 707 345 0 0.5 7.4E+03 35 3.3E+03 91.4995 348 SAFH 709 346 0 0.5 6.7E+03 36 5.7E+03 92.7252 349 SAFH 711 347 0 0.5 7.1E+03 35 1.1E+05 92.7252 350 SAFH 712 348 0 0.5 40 35 5.4E+04 92.7252 351 SAFH 713 349 0 0.5 3.1E+03 37 6E+03 92.7252 352 SAFH 715 350 0 0.5 3.6E+03 35 2.7E+04 92.7252 353 SAFH 716 351 0 0.5 5.3E+03 36 5.3E+03 92.7252 354 SAFH 717 352 0 0.5 4.9E+03 36 2.4E+03 92.7252 355 SAFH 723 353 0 0.5 7.1E+03 35 2.3E+03 92.7252 356 SAFH 725 354 0 0.5 5.1E+03 35 3.8E+03 92.7252 357 SAFH 726 355 0 0.5 5.8E+03 36 1.3E+04 92.7252 358 SAFH 727 356 0 0.5 4.9E+03 35 1.5E+03 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 732 357 0 0.5 6.7E+03 36 1.4E+03 92.7252 360 SAFH 736 358 0 0.5 3.6E+04 37 2.9E+05 92.7252 361 SAFH 737 359 0 0.5 1.1 37 1.4E+05 92.7252 362 SAFH 738 360 0 0.5 2.1 37 7.2E+04 92.7252 363 SAFH 739 361 0 0.5 4.6E+03 37 1.8E+03 92.7252 364 SAFH 741 362 0 0.5 6.3E+03 37 5.2E+03 92.7252 365 SAFH 742 363 0 0.5 3.7E+03 37 2.6E+03 92.7252 366 SAFH 746 364 0 0.5 7.4E+03 36 6.4E+02 92.7252 367 SAFH 752 365 0 0.5 3.6E+04 36 2.6E+03 92.7252 368 SAFH 754 366 0 0.5 2.8E+04 35 1.1E+03 92.7252 369 SAFH 760 367 0 0.5 3.5E+04 36 1.1E+03 92.7252 370 SAFH 765 368 0 0.5 5.3E+03 36 7.9E+02 92.7252 371 SAFH 769 369 0 0.5 6.6E+03 36 1.2E+03 92.7252 372 SAFH 770 370 0 0.5 4.6E+03 36 7.7E+02 92.7252 373 SAFH 771 371 0 0.5 3.1E+04 35 9.8E+02 92.7252 374 SAFH 773 372 0 0.5 3.1E+04 36 6.1E+02 92.7252 375 SAFH 779 373 0 0.5 3.5E+04 34 6.7E+03 92.7252 376 SAFH 780 374 0 0.5 1E+04 35 1.3E+03 92.7252 377 SAFH 781 375 0 0.5 1E+04 36 6E+02 92.7252 378 SAFH 789 376 0 0.5 1.2E+04 36 2.9E+02 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 799 377 0 0.5 3.4E+04 33 4.4E+02 91.4995 380 SAFH 804 378 0 0.5 8.2E+03 34 2.8E+02 92.7252 381 SAFH 809 379 0 0.5 1.4E+04 34 5.3E+02 92.7252 382 SAFH 811 380 0 0.5 3.1E+04 35 2.5E+02 92.7252 383 SAFH 815 381 0 0.5 4E+03 34 1.5E+02 92.7252 384 SAFH 829 382 0 0.5 3.2E+04 35 4.2E+02 92.7252 385 SAFH 831 383 0 0.5 3E+04 34 1.8E+02 92.7252 386 SAFH 835 384 0 0.5 1E+04 34 4.6E+02 92.7252 387 SAFH 836 385 0 0.5 9.5E+03 34 1.4E+02 92.7252 388 SAFH 839 386 0 0.5 2.9E+03 34 1.1E+02 92.7252 389 SAFH 846 387 0 0.5 3.1E+04 35 1.5E+02 92.7252 390 SAFH 848 388 0 0.5 1.4E+04 35 8.3E+03 92.7252 391 SAFH 850 389 0 0.5 2.6E+04 35 1.1E+02 92.7252 392 SAFH 853 390 0 0.5 8.8E+03 35 2.5E+02 92.7252 393 SAFH 855 391 0 0.5 3E+04 34 9.3E+02 89.4 394 SAFH 856 392 0 0.5 2.4E+04 35 3.2E+02 92.7252 395 SAFH 859 393 0 0.5 3E+04 34 3E+03 92.7252 396 SAFH 860 394 0 0.5 2.5E+04 34 4.7E+02 92.7252 397 SAFH 862 395 0 0.5 2.6E+04 34 3.5E+03 92.7252 398 SAFH 863 396 0 0.5 2E+04 35 4.1E+02 92.7252 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 865 397 0 0.5 3.1E+04 34 62 92.7252 400 SAFH 876 398 0 0.5 3E+04 35 2.7E+02 92.7252 401 SAFH 877 399 0 0.3 2.9E+04 23 2.6E+04 57.9395 402 SAFH 878 400 0 0.3 1.3E+04 24 2E+02 56.6696 403 SAFH 880 401 0 0.3 5.4E+03 24 1.6E+02 56.6696 404 SAFH 883 402 0 0.3 9.9E+03 24 1.6E+02 56.6696 405 SAFH 885 403 0 0.3 8.3E+03 24 1.7E+02 56.6696 406 SAFG 887 404 0 0.3 6.9E+03 0 1.7E-09 56.6696 406 FOUND SOLUTION: 56.6696 (NLP) in 47 sec. 407 SAFH 887 404 0 0.3 1.4E+03 24 78 56.6696 408 SAFH 895 405 0 0.3 7.1E+03 23 2.1E+02 56.6696 409 SAFH 896 406 0 0.3 5.5E+03 23 62 56.6696 410 SAFH 902 407 0 0.3 6.9E+03 23 47 56.6696 411 SAFH 905 408 0 0.3 1.8E+03 22 33 56.6696 412 SAFH 907 409 0 0.3 6.8E+03 22 70 56.6696 413 SAFH 908 410 0 0.3 2.9E+04 33 1E+02 90.3537 414 SAFH 909 411 0 0.3 2.9E+04 23 1.7E+02 56.6696 415 SAFH 911 412 0 0.3 5E+03 22 39 56.6696 416 SAFH 917 413 0 0.3 6.8E+03 22 19 56.6696 417 SAFH 926 414 0 0.3 5E+03 22 1.1E+02 56.6696 418 SAFH 927 415 0 0.3 4.4E+02 22 36 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 929 416 0 0.3 1.3E+03 22 11 56.6696 420 SAFH 938 417 0 0.3 5.3E+03 20 15 56.6696 421 SAFH 941 418 0 0.3 7.6E+03 19 51 56.6696 422 SAFH 942 419 0 0.3 1.1E+02 18 21 56.6696 423 SAFH 944 420 0 0.3 6.5E+03 20 80 56.6696 424 SAFH 945 421 0 0.3 5.4E+03 22 32 56.6696 425 SAFH 949 422 0 0.3 6.3E+03 19 9.9 56.6696 426 SAFH 955 423 0 0.3 5.3E+03 21 26 56.6696 427 SAFH 957 424 0 0.3 4.1E+03 19 54 56.6696 428 SAFH 958 425 0 0.3 6.1E+03 19 56 56.6696 429 SAFH 959 426 0 0.3 1.1E+02 19 21 56.6696 430 SAFH 961 427 0 0.3 4.5E+03 19 21 56.6696 431 SAFH 965 428 0 0.3 5.8E+03 20 36 56.6696 432 SAFH 966 429 0 0.3 6.4E+03 19 6.1 56.6696 433 SAFH 972 430 0 0.3 5.4E+03 19 7.6 56.6696 434 SAFH 977 431 0 0.3 5.5E+03 19 9.1 56.6696 435 SAFH 978 432 0 0.3 1.2E+03 19 5.9 56.6696 436 SAFH 980 433 0 0.3 4.7E+03 21 13 56.6696 437 SAFH 985 434 0 0.3 4.2E+03 20 3.9 56.6696 438 SAFH 992 435 0 0.3 4.2E+03 21 15 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 994 436 0 0.3 7.9E+03 18 1.1E+02 56.6696 440 SAFH 996 437 0 0.3 7.6E+03 20 5.2 56.6696 441 SAFH 1000 438 0 0.3 5.3E+03 20 7.8 56.6696 442 SAFH 1003 439 0 0.3 5.8E+03 19 6.5 56.6696 443 SAFH 1004 440 0 0.3 6.1E+03 21 11 56.6696 444 SAFH 1006 441 0 0.3 1.7E+02 21 4.1 56.6696 445 SAFH 1014 442 0 0.3 5.8E+03 18 33 56.6696 446 SAFH 1016 443 0 0.3 3.5E+03 19 8.9 56.6696 447 SAFH 1017 444 0 0.3 3.6E+02 19 2.9 56.6696 448 SAFH 1021 445 0 0.3 5.8E+03 20 3.4 56.6696 449 SAFH 1027 446 0 0.3 5E+03 19 27 56.6696 450 SAFH 1030 447 0 0.3 8.4E+03 19 1.1E+02 56.6696 451 SAFH 1031 448 0 0.3 3.2E+02 19 31 56.6696 452 SAFH 1036 449 0 0.3 7.6E+03 19 3.8 56.6696 453 SAFH 1040 450 0 0.3 3.5E+03 19 6.5 56.6696 454 SAFH 1043 451 0 0.3 4E+03 19 2.3 56.6696 455 SAFH 1047 452 0 0.3 6.4E+03 21 4.7 56.6696 456 SAFH 1050 453 0 0.3 6.5E+03 20 4.4 56.6696 457 SAFH 1051 454 0 0.3 6.3E+03 19 9.1 56.6696 458 SAFH 1053 455 0 0.3 4.3E+03 20 4.7 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 1056 456 0 0.3 5E+03 19 4 56.6696 460 SAFH 1059 457 0 0.3 4.1E+03 20 9.3 56.6696 461 SAFH 1060 458 0 0.3 4.4E+03 20 2 56.6696 462 SAFH 1065 459 0 0.3 4.5E+03 19 1.7 56.6696 463 SAFH 1074 460 0 0.3 5E+03 18 1.6 56.6696 464 SAFH 1077 461 0 0.3 5.8E+03 19 41 56.6696 465 SAFH 1078 462 0 0.3 4.1E+03 21 2.4 56.6696 466 SAFH 1083 463 0 0.3 4.5E+03 20 1.9 56.6696 467 SAFH 1086 464 0 0.3 5.5E+03 20 7.3 56.6696 468 SAFH 1089 465 0 0.3 4.1E+03 20 1.4 56.6696 469 SAFH 1095 466 0 0.3 4.2E+03 21 11 56.6696 470 SAFH 1096 467 0 0.3 7.1E+03 19 6.7 56.6696 471 SAFH 1099 468 0 0.3 6E+03 21 8.4 56.6696 472 SAFH 1101 469 0 0.3 5.9E+03 22 1.3 56.6696 473 SAFH 1108 470 0 0.3 5.2E+03 20 1.3 56.6696 474 SAFH 1114 471 0 0.3 4.2E+03 20 5.7 56.6696 475 SAFH 1116 472 0 0.3 8.2E+02 20 1.6 56.6696 476 SAFH 1120 473 0 0.3 5E+03 21 2.7 56.6696 477 SAFH 1121 474 0 0.3 3.5E+02 21 0.98 56.6696 478 SAFH 1129 475 0 0.3 5.5E+03 21 1.5 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 1131 476 0 0.3 4.5E+03 19 2.3 56.6696 480 SAFH 1132 477 0 0.3 1.7E+02 19 0.65 56.6696 481 SAFH 1140 478 0 0.3 3.8E+03 22 2.4 56.6696 482 SAFH 1143 479 0 0.3 4.1E+03 21 2.7 56.6696 483 SAFH 1146 480 0 0.3 4.2E+03 22 1.1 56.6696 484 SAFH 1152 481 0 0.3 4.4E+03 20 7.7 56.6696 485 SAFH 1153 482 0 0.3 4.8E+03 19 1.8 56.6696 486 SAFH 1155 483 0 0.3 4.4E+03 21 0.88 56.6696 487 SAFH 1162 484 0 0.3 3.7E+03 22 1.6 56.6696 488 SAFH 1164 485 0 0.3 4E+03 22 1.5 56.6696 489 SAFH 1167 486 0 0.3 4.8E+03 21 5.3 56.6696 490 SAFH 1169 487 0 0.3 4.9E+03 22 1.8 56.6696 491 SAFH 1171 488 0 0.3 3.3E+03 21 0.58 56.6696 492 SAFH 1175 489 0 0.3 4.2E+03 20 3.3 56.6696 493 SAFH 1179 490 0 0.3 4.7E+03 20 1.1 56.6696 494 SAFH 1183 491 0 0.3 5.8E+03 20 7.7 56.6696 495 SAFH 1184 492 0 0.3 5E+03 21 2.9 56.6696 496 SAFH 1186 493 0 0.3 4.9E+03 21 0.66 56.6696 497 SAFH 1191 494 0 0.3 4.5E+03 21 2.2 56.6696 498 SAFH 1193 495 0 0.3 2.8E+03 21 0.78 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 1198 496 0 0.3 3.5E+03 20 1.6 56.6696 500 SAFH 1200 497 0 0.3 2.3E+02 20 0.61 56.6696 501 SAFH 1204 498 0 0.3 3.9E+03 20 2.1 56.6696 502 SAFH 1207 499 0 0.3 7E+03 19 15 56.6696 503 SAFH 1208 500 0 0.3 4.5 19 1.6 56.6696 504 SAFH 1210 501 0 0.3 4.1E+03 19 0.62 56.6696 505 SAFH 1215 502 0 0.3 7.5E+03 19 52 56.6696 506 SAFH 1216 503 0 0.3 6.3E+02 19 12 56.6696 507 SAFH 1219 504 0 0.3 7.7E+03 19 1.2 56.6696 508 SAFH 1221 505 0 0.3 4.9E+03 21 1.1 56.6696 509 SAFH 1223 506 0 0.3 5.4E+02 21 0.56 56.6696 510 SAFH 1225 507 0 0.3 34 20 0.28 56.6696 511 SAFH 1234 508 0 0.3 4.2E+03 22 1.1 56.6696 512 SAFH 1235 509 0 0.3 5.2E+03 22 0.34 56.6696 513 SAFH 1243 510 0 0.3 5.3E+03 22 1.3 56.6696 514 SAFH 1246 511 0 0.3 1.6E+03 22 0.37 56.6696 515 SAFH 1255 512 0 0.3 4.5E+03 20 0.36 56.6696 516 SAFH 1258 513 0 0.3 3.7E+03 19 6.2 56.6696 517 SAFH 1259 514 0 0.3 8.6E+02 19 1.6 56.6696 518 SAFH 1260 515 0 0.3 2.5E+02 19 2.2 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 1261 516 0 0.3 74 19 0.64 56.6696 520 SAFH 1265 517 0 0.3 7.2E+03 22 19 56.6696 521 SAFH 1266 518 0 0.3 5.7E+03 20 1.5 56.6696 522 SAFH 1267 519 0 0.3 49 20 0.64 56.6696 523 SAFH 1272 520 0 0.3 4.3E+03 22 79 56.6696 524 SAFH 1273 521 0 0.3 8.1E+02 22 23 56.6696 525 SAFH 1274 522 0 0.3 3.3E+03 22 0.96 56.6696 526 SAFH 1275 523 0 0.3 5.8E+03 21 73 56.6696 527 SAFH 1276 524 0 0.3 5.6E+03 22 5.3 56.6696 528 SAFH 1277 525 0 0.3 4.1E+03 22 1 56.6696 529 SAFH 1280 526 0 0.3 4.1E+03 20 0.6 56.6696 530 SAFH 1285 527 0 0.3 8.4E+02 20 0.56 56.6696 531 SAFH 1287 528 0 0.3 5.1E+02 20 0.55 56.6696 532 SAFH 1291 529 0 0.3 6.3E+03 24 13 56.6696 533 SAFH 1292 530 0 0.3 1.5E+02 23 4.7 56.6696 534 SAFH 1293 531 0 0.3 4.6E+03 22 1 56.6696 535 SAFH 1295 532 0 0.3 6.4E+02 24 0.58 56.6696 536 SAFH 1298 533 0 0.3 4.1E+03 20 9.3 56.6696 537 SAFH 1299 534 0 0.3 4.2E+03 19 0.58 56.6696 538 SAFH 1304 535 0 0.3 5E+03 19 2.9 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 1305 536 0 0.3 4.7E+03 22 0.62 56.6696 540 SAFH 1311 537 0 0.3 4.3E+03 20 0.54 56.6696 541 SAFH 1313 538 0 0.3 5.5E+03 21 1.1 56.6696 542 SAFH 1314 539 0 0.3 5.2E+03 21 0.55 56.6696 543 SAFH 1316 540 0 0.3 4.5E+03 20 0.69 56.6696 544 SAFH 1318 541 0 0.3 4.6E+03 21 2.2 56.6696 545 SAFH 1319 542 0 0.3 1E+02 21 1 56.6696 546 SAFH 1322 543 0 0.3 6.2E+03 19 0.26 56.6696 547 SAFH 1331 544 0 0.3 5E+03 21 0.71 56.6696 548 SAFH 1336 545 0 0.3 2.5E+03 19 0.27 56.6696 549 SAFH 1340 546 0 0.3 5.7E+03 21 2.7 56.6696 550 SAFH 1342 547 0 0.3 6.8E+03 22 0.46 56.6696 551 SAFH 1347 548 0 0.3 5.2E+03 23 1 56.6696 552 SAFH 1348 549 0 0.3 6E+03 22 0.3 56.6696 553 SAFH 1356 550 0 0.3 4.4E+03 19 0.74 56.6696 554 SAFH 1357 551 0 0.3 3.4E+03 23 0.56 56.6696 555 SAFH 1359 552 0 0.3 5.2E+03 20 1 56.6696 556 SAFH 1360 553 0 0.3 5.2E+03 24 0.61 56.6696 557 SAFH 1361 554 0 0.3 5.3E+03 20 0.33 56.6696 558 SAFH 1364 555 0 0.3 5.3E+03 21 0.26 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 1372 556 0 0.3 4.6E+03 22 0.95 56.6696 560 SAFH 1373 557 0 0.3 5.1E+03 22 0.61 56.6696 561 SAFH 1376 558 0 0.3 5.6E+03 20 2.6 56.6696 562 SAFH 1379 559 0 0.3 4.9E+03 21 2.2 56.6696 563 SAFH 1380 560 0 0.3 1.7E+02 21 0.53 56.6696 564 SAFH 1383 561 0 0.3 4.7E+03 19 1.3 56.6696 565 SAFH 1385 562 0 0.3 26 19 0.24 56.6696 566 SAFH 1392 563 0 0.3 6.7E+03 22 1 56.6696 567 SAFH 1393 564 0 0.3 5.7E+03 22 0.3 56.6696 568 SAFH 1396 565 0 0.3 4.3E+03 20 6.8 56.6696 569 SAFH 1397 566 0 0.3 1E+03 22 0.74 56.6696 570 SAFH 1399 567 0 0.3 4.4E+03 19 0.94 56.6696 571 SAFH 1400 568 0 0.3 4.5E+03 24 2 56.6696 572 SAFH 1401 569 0 0.3 4E+03 20 0.27 56.6696 573 SAFH 1406 570 0 0.3 4.2E+03 22 0.55 56.6696 574 SAFH 1409 571 0 0.3 5.1E+03 22 1.4 56.6696 575 SAFH 1411 572 0 0.3 4.2E+03 22 1.6 56.6696 576 SAFH 1412 573 0 0.3 1.6E+03 20 1.2 56.6696 577 SAFH 1414 574 0 0.3 7.2E+03 23 0.44 56.6696 578 SAFH 1417 575 0 0.3 5.6E+03 20 0.28 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 1422 576 0 0.3 5.1E+03 23 0.4 56.6696 580 SAFH 1426 577 0 0.3 3.7E+03 23 0.22 56.6696 581 SAFH 1432 578 0 0.3 4.5E+03 22 2.1 56.6696 582 SAFH 1433 579 0 0.3 6E+03 22 0.85 56.6696 583 SAFH 1436 580 0 0.3 5.5E+03 20 2 56.6696 584 SAFH 1437 581 0 0.3 89 20 0.87 56.6696 585 SAFH 1439 582 0 0.3 3.5E+03 22 0.88 56.6696 586 SAFH 1440 583 0 0.3 6.7E+03 20 30 56.6696 587 SAFH 1441 584 0 0.3 6.1E+03 20 0.27 56.6696 588 SAFH 1446 585 0 0.3 5.4E+03 19 2.1 56.6696 589 SAFH 1447 586 0 0.3 4.1E+03 24 0.51 56.6696 590 SAFH 1448 587 0 0.3 5.4E+03 22 0.5 56.6696 591 SAFH 1449 588 0 0.3 4.5E+03 20 0.51 56.6696 592 SAFH 1451 589 0 0.3 4E+02 20 0.17 56.6696 593 SAFH 1460 590 0 0.3 3.6E+03 21 0.49 56.6696 594 SAFH 1465 591 0 0.3 7E+03 19 1.4E+02 56.6696 595 SAFH 1466 592 0 0.3 7.7E+03 19 0.2 56.6696 596 SAFH 1470 593 0 0.3 5E+03 19 0.55 56.6696 597 SAFH 1471 594 0 0.3 34 19 0.2 56.6696 598 SAFH 1476 595 0 0.3 6.2E+03 19 0.49 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 1478 596 0 0.3 4.3E+03 21 0.51 56.6696 600 SAFH 1481 597 0 0.3 3.5E+03 22 0.32 56.6696 601 SAFH 1483 598 0 0.3 2.9E+03 23 0.78 56.6696 602 SAFH 1485 599 0 0.3 4.2E+03 22 0.17 56.6696 603 SAFH 1491 600 0 0.3 4.1E+03 22 1 56.6696 604 SAFH 1492 601 0 0.3 6.9E+03 17 5.8 56.6696 605 SAFH 1493 602 0 0.3 4.5E+02 18 1.4 56.6696 606 SAFH 1494 603 0 0.3 7.6E+03 22 0.24 56.6696 607 SAFH 1499 604 0 0.3 5.1E+03 24 0.88 56.6696 608 SAFH 1500 605 0 0.3 78 24 0.22 56.6696 609 SAFH 1504 606 0 0.3 5.7E+03 23 0.31 56.6696 610 SAFH 1507 607 0 0.3 6.3E+03 24 0.46 56.6696 611 SAFH 1511 608 0 0.3 6.5E+03 23 1.7 56.6696 612 SAFH 1512 609 0 0.3 5.8E+03 20 0.45 56.6696 613 SAFH 1513 610 0 0.3 5.1E+03 21 0.13 56.6696 614 SAFH 1519 611 0 0.3 5.6E+03 24 0.45 56.6696 615 SAFH 1522 612 0 0.3 5.8E+03 22 0.16 56.6696 616 SAFH 1527 613 0 0.3 4.5E+03 21 0.39 56.6696 617 SAFH 1531 614 0 0.3 3E+03 21 2 56.6696 618 SAFH 1532 615 0 0.3 2.2E+02 21 0.52 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 1535 616 0 0.3 6E+03 22 0.85 56.6696 620 SAFH 1536 617 0 0.3 5.6E+02 22 0.73 56.6696 621 SAFH 1537 618 0 0.3 27 22 0.26 56.6696 622 SAFH 1538 619 0 0.3 5.5E+03 20 0.24 56.6696 623 SAFH 1542 620 0 0.3 3.9E+02 20 0.15 56.6696 624 SAFH 1546 621 0 0.3 9E+03 19 8.2 56.6696 625 SAFH 1549 622 0 0.3 6E+03 23 1.8 56.6696 626 SAFH 1550 623 0 0.3 3.2E+02 23 0.68 56.6696 627 SAFH 1551 624 0 0.3 37 23 0.16 56.6696 628 SAFH 1557 625 0 0.3 6.2E+03 19 2.8 56.6696 629 SAFH 1558 626 0 0.3 8.5E+03 24 0.25 56.6696 630 SAFH 1561 627 0 0.3 5E+03 23 0.13 56.6696 631 SAFH 1564 628 0 0.3 5.6E+03 21 0.3 56.6696 632 SAFH 1568 629 0 0.3 5.7E+03 24 0.41 56.6696 633 SAFH 1569 630 0 0.3 5.1E+03 24 0.12 56.6696 634 SAFH 1575 631 0 0.3 4.5E+03 20 0.43 56.6696 635 SAFH 1576 632 0 0.3 5.6E+02 20 0.53 56.6696 636 SAFH 1578 633 0 0.3 2.4E+03 20 0.31 56.6696 637 SAFH 1581 634 0 0.3 4.3E+03 21 0.41 56.6696 638 SAFH 1582 635 0 0.3 3.6E+02 22 0.25 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 1584 636 0 0.3 56 22 0.15 56.6696 640 SAFH 1589 637 0 0.3 5.2E+03 22 0.18 56.6696 641 SAFH 1593 638 0 0.3 5.3E+03 22 0.39 56.6696 642 SAFH 1594 639 0 0.3 3E+03 21 0.18 56.6696 643 SAFH 1598 640 0 0.3 5.9E+03 24 0.15 56.6696 644 SAFH 1603 641 0 0.3 2.1E+02 24 0.12 56.6696 645 SAFH 1612 642 0 0.3 4.1E+03 22 0.24 56.6696 646 SAFH 1613 643 0 0.3 72 22 0.081 56.6696 647 SAFH 1620 644 0 0.3 7E+03 20 0.94 56.6696 648 SAFH 1621 645 0 0.3 6.4E+03 23 0.17 56.6696 649 SAFH 1627 646 0 0.3 5.8E+03 20 0.46 56.6696 650 SAFH 1629 647 0 0.3 1.2E+03 19 0.14 56.6696 651 SAFH 1631 648 0 0.3 2.9E+03 19 1.3 56.6696 652 SAFH 1632 649 0 0.3 0.43 19 0.19 56.6696 653 SAFH 1634 650 0 0.3 23 18 0.085 56.6696 654 SAFH 1641 651 0 0.3 7.5E+03 19 1.3 56.6696 655 SAFH 1645 652 0 0.3 1.2E+02 19 0.79 56.6696 656 SAFH 1647 653 0 0.3 38 19 0.77 56.6696 657 SAFH 1648 654 0 0.3 55 18 0.32 56.6696 658 SAFH 1653 655 0 0.3 8.7E+03 21 0.19 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 1658 656 0 0.3 8.7E+03 17 0.26 56.6696 660 SAFH 1659 657 0 0.3 15 17 0.081 56.6696 661 SAFH 1666 658 0 0.3 24 17 0.064 56.6696 662 SAFH 1667 659 0 0.3 8.2 16 0.03 56.6696 663 SAFH 1671 660 0 0.3 17 18 0.016 56.6696 664 SAFH 1675 661 0 0.3 6.7E+03 21 0.14 56.6696 665 SAFH 1677 662 0 0.3 18 20 0.068 56.6696 666 SAFH 1687 663 0 0.3 6.3E+03 22 0.14 56.6696 667 SAFH 1693 664 0 0.3 5E+03 20 0.083 56.6696 668 SAFH 1703 665 0 0.3 9E+03 18 3.1 56.6696 669 SAFH 1706 666 0 0.3 7E+03 20 0.14 56.6696 670 SAFH 1709 667 0 0.3 5.8E+03 23 0.15 56.6696 671 SAFH 1713 668 0 0.3 5E+03 21 0.19 56.6696 672 SAFH 1715 669 0 0.3 1.7E+03 22 0.12 56.6696 673 SAFH 1718 670 0 0.3 4.4E+03 20 0.11 56.6696 674 SAFH 1722 671 0 0.3 5.6E+03 20 0.69 56.6696 675 SAFH 1724 672 0 0.3 3.7E+03 20 9 56.6696 676 SAFH 1725 673 0 0.3 3.4E+03 24 0.27 56.6696 677 SAFH 1726 674 0 0.3 1.7E+02 22 0.26 56.6696 678 SAFH 1727 675 0 0.3 5.3E+03 18 0.14 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 1730 676 0 0.3 5.4E+03 20 0.15 56.6696 680 SAFH 1732 677 0 0.3 6.6E+03 22 0.13 56.6696 681 SAFH 1738 678 0 0.3 4.3E+03 20 4.3 56.6696 682 SAFH 1740 679 0 0.3 4.5E+03 22 0.12 56.6696 683 SAFH 1744 680 0 0.3 4.5E+03 19 0.22 56.6696 684 SAFH 1745 681 0 0.3 4.8E+03 22 0.16 56.6696 685 SAFH 1746 682 0 0.3 5.1E+02 20 0.07 56.6696 686 SAFH 1753 683 0 0.3 2.9E+03 18 0.23 56.6696 687 SAFH 1755 684 0 0.3 1.7E+03 18 0.075 56.6696 688 SAFH 1761 685 0 0.3 6.2E+03 22 0.52 56.6696 689 SAFH 1763 686 0 0.3 4.9E+03 24 0.13 56.6696 690 SAFH 1766 687 0 0.3 5.5E+03 20 0.36 56.6696 691 SAFH 1767 688 0 0.3 7.1E+03 20 15 56.6696 692 SAFH 1768 689 0 0.3 1.6E+02 20 0.78 56.6696 693 SAFH 1770 690 0 0.3 4E+03 20 2.3 56.6696 694 SAFH 1771 691 0 0.3 6.6E+03 18 13 56.6696 695 SAFH 1772 692 0 0.3 2E+02 18 1.8 56.6696 696 SAFH 1775 693 0 0.3 5E+03 20 0.57 56.6696 697 SAFH 1776 694 0 0.3 5E+03 18 0.69 56.6696 698 SAFH 1779 695 0 0.3 9E+03 24 0.16 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 1782 696 0 0.3 9E+03 18 0.35 56.6696 700 SAFH 1784 697 0 0.3 9E+03 22 0.25 56.6696 701 SAFH 1787 698 0 0.3 9E+03 17 0.32 56.6696 702 SAFH 1788 699 0 0.3 57 17 0.24 56.6696 703 SAFH 1790 700 0 0.3 32 18 0.11 56.6696 704 SAFH 1793 701 0 0.3 49 18 0.057 56.6696 705 SAFH 1800 702 0 0.3 49 18 0.04 56.6696 706 SAFH 1803 703 0 0.3 16 17 0.016 56.6696 707 SAFH 1809 704 0 0.3 8.4E+03 24 0.15 56.6696 708 SAFH 1814 705 0 0.3 5.7E+03 22 1.4 56.6696 709 SAFH 1816 706 0 0.3 3.6E+03 22 0.085 56.6696 710 SAFH 1822 707 0 0.3 9.3E+03 18 26 56.6696 711 SAFH 1823 708 0 0.3 9.4E+03 20 0.14 56.6696 712 SAFH 1824 709 0 0.3 6.5E+03 20 5.9 56.6696 713 SAFH 1825 710 0 0.3 6E+02 20 1.4 56.6696 714 SAFH 1826 711 0 0.3 5.7E+03 22 2.3 56.6696 715 SAFH 1827 712 0 0.3 4.1E+03 20 0.19 56.6696 716 SAFH 1831 713 0 0.3 5.1E+03 22 5 56.6696 717 SAFH 1832 714 0 0.3 2.2E+02 21 1.3 56.6696 718 SAFH 1833 715 0 0.3 5E+03 22 0.31 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 1834 716 0 0.3 3.8E+03 20 0.11 56.6696 720 SAFH 1838 717 0 0.3 7.9E+03 18 7 56.6696 721 SAFH 1839 718 0 0.3 7E+03 20 0.37 56.6696 722 SAFH 1841 719 0 0.3 4.3E+03 24 0.14 56.6696 723 SAFH 1845 720 0 0.3 5.1E+03 20 0.15 56.6696 724 SAFH 1849 721 0 0.3 3E+03 19 0.23 56.6696 725 SAFH 1851 722 0 0.3 2.3E+03 19 0.12 56.6696 726 SAFH 1857 723 0 0.3 4.4E+03 18 0.26 56.6696 727 SAFH 1858 724 0 0.3 9.9E+03 18 1.1 56.6696 728 SAFH 1859 725 0 0.3 9.5E+03 20 0.1 56.6696 729 SAFH 1861 726 0 0.3 1.5E+02 19 0.045 56.6696 730 SAFH 1868 727 0 0.3 4.4E+03 22 0.054 56.6696 731 SAFH 1877 728 0 0.3 7.3E+03 18 1.7 56.6696 732 SAFH 1878 729 0 0.3 66 18 0.41 56.6696 733 SAFH 1882 730 0 0.3 94 18 0.13 56.6696 734 SAFH 1886 731 0 0.3 8.6E+03 22 0.1 56.6696 735 SAFH 1888 732 0 0.3 8.5E+03 18 0.1 56.6696 736 SAFH 1890 733 0 0.3 34 18 0.048 56.6696 737 SAFH 1894 734 0 0.3 29 18 0.026 56.6696 738 SAFH 1898 735 0 0.3 13 18 0.011 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 1904 736 0 0.3 14 18 0.0052 56.6696 740 SAFH 1910 737 0 0.3 8.4 17 0.0025 56.6696 741 SAFH 1914 738 0 0.3 7.9 18 0.0021 56.6696 742 SAFH 1917 739 0 0.3 5.2 18 0.00063 56.6696 743 SAFH 1918 740 0 0.3 1.2 18 0.0006 56.6696 744 SAFH 1919 741 0 0.3 0.052 17 0.00054 56.6696 745 SAFH 1920 742 0 0.3 1.1 18 0.00051 56.6696 746 SAFH 1921 743 0 0.3 2.4E+03 17 21 56.6696 747 SAFH 1922 744 0 0.3 8.2E+03 22 0.23 56.6696 748 SAFH 1923 745 0 0.3 0.45 21 0.063 56.6696 749 SAFH 1929 746 0 0.3 4.8E+03 22 0.11 56.6696 750 SAFH 1934 747 0 0.3 8.3E+03 18 5.6 56.6696 751 SAFH 1935 748 0 0.3 6.1E+03 20 0.17 56.6696 752 SAFH 1937 749 0 0.3 5.6E+03 18 0.3 56.6696 753 SAFH 1939 750 0 0.3 9.4E+03 18 0.00062 56.6696 754 SAFH 1940 751 0 0.3 0.0011 17 0.00039 56.6696 755 SAFH 1941 752 0 0.3 3.4 17 0.00058 56.6696 756 SAFH 1942 753 0 0.3 1.4 18 0.00054 56.6696 757 SAFH 1943 754 0 0.3 1.2 17 0.0003 56.6696 758 SAFH 1944 755 0 0.3 0.86 17 0.00046 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 1945 756 0 0.3 1.7 16 0.0003 56.6696 760 SAFH 1946 757 0 0.3 0.00066 15 0.00028 56.6696 761 SAFH 1947 758 0 0.3 2.8 15 0.00028 56.6696 762 SAFH 1948 759 0 0.3 2 17 0.00016 56.6696 763 SAFH 1949 760 0 0.3 0.71 17 0.00016 56.6696 764 SAFH 1950 761 0 0.3 1.1 15 0.00016 56.6696 765 SAFH 1951 762 0 0.3 0.41 15 0.0001 56.6696 766 SAFH 1952 763 0 0.3 1.2 16 0.00014 56.6696 767 SAFH 1953 764 0 0.3 1 15 0.00013 56.6696 768 SAFH 1954 765 0 0.3 0.67 15 7.1E-05 56.6696 769 SAFH 1955 766 0 0.3 1.6 16 6.5E-05 56.6696 770 SAFH 1956 767 0 0.3 0.00016 15 6E-05 56.6696 771 SAFH 1957 768 0 0.3 2 15 0.00026 56.6696 772 SAFH 1958 769 0 0.3 0.8 15 6.5E-05 56.6696 773 SAFH 1959 770 0 0.3 0.4 16 4E-05 56.6696 774 SAFH 1960 771 0 0.3 0.0001 15 4E-05 56.6696 775 SAFH 1961 772 0 0.3 0.54 15 8.7E-05 56.6696 776 SAFH 1962 773 0 0.3 0.49 15 3.9E-05 56.6696 777 SAFH 1963 774 0 0.3 0.31 13 2.6E-05 56.6696 778 SAFH 1964 775 0 0.3 0.51 13 3.6E-05 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 1965 776 0 0.3 0.68 14 2.6E-05 56.6696 780 SAFH 1966 777 0 0.3 7E-05 13 2.4E-05 56.6696 781 SAFH 1967 778 0 0.3 1.1 14 2.2E-05 56.6696 782 SAFH 1968 779 0 0.3 0.25 13 1.6E-05 56.6696 783 SAFH 1969 780 0 0.3 0.26 14 1.7E-05 56.6696 784 SAFH 1970 781 0 0.3 0.2 12 1.6E-05 56.6696 785 SAFH 1971 782 0 0.3 0.25 12 1.1E-05 56.6696 786 SAFH 1972 783 0 0.3 0.57 11 1.1E-05 56.6696 787 SAFH 1973 784 0 0.3 2.8E-05 10 1E-05 56.6696 788 SAFH 1974 785 0 0.3 0.3 10 9.9E-06 56.6696 789 SAFH 1975 786 0 0.3 0.19 12 9E-06 56.6696 790 SAFH 1976 787 0 0.3 0.16 12 8.4E-06 56.6696 791 SAFH 1977 788 0 0.3 2.1E-05 11 5E-06 56.6696 792 SAFH 1978 789 0 0.3 1.3E-05 10 4.8E-06 56.6696 793 SAFH 1979 790 0 0.3 1.2E-05 9 4.3E-06 56.6696 794 SAFH 1980 791 0 0.3 0.15 9 5.5E-06 56.6696 795 SAFH 1981 792 0 0.3 0.084 8 4E-06 56.6696 796 SAFH 1982 793 0 0.3 0.099 9 3.9E-06 56.6696 797 SAFH 1983 794 0 0.3 0.12 9 2.5E-06 56.6696 798 SAFH 1984 795 0 0.3 0.077 7 2.1E-06 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 1985 796 0 0.3 1.2E-06 6 2E-06 56.6696 800 SAFH 1986 797 0 0.3 3.6E-06 5 1.4E-06 56.6696 801 SAFH 1987 798 0 0.2 0.057 3 1.1E-06 56.6696 802 SAFH 1988 799 0 0.2 0.043 3 1.3E-06 56.6696 803 SAFH 1989 800 0 0.2 0.17 3 1.4E-06 56.6696 804 SAFH 1990 801 0 0.2 0.057 2 1E-06 56.6696 805 SAFH 1991 802 0 0.2 2.3E-06 1 1E-06 56.6696 806 SAFJL 1992 803 0 0.2 0.049 0 9.7E-07 56.6696 807 SAFH 1952 802 0 0.1 9E+03 22 0.13 56.6696 808 SAFH 1953 803 0 0.1 46 22 0.066 56.6696 809 SAFH 1960 804 0 0.1 5.8E+03 20 0.74 56.6696 810 SAFH 1961 805 0 0.1 12 18 0.069 56.6696 811 SAFH 1965 806 0 0.1 4.4E+03 20 0.14 56.6696 812 SAFH 1968 807 0 0.1 3.5E+03 22 0.097 56.6696 813 SAFH 1973 808 0 0.1 5.1E+03 22 0.18 56.6696 814 SAFH 1975 809 0 0.1 5.7E+03 18 20 56.6696 815 SAFH 1976 810 0 0.1 5.5E+03 20 0.66 56.6696 816 SAFH 1977 811 0 0.1 1.3E+03 20 0.16 56.6696 817 SAFH 1979 812 0 0.1 5.6E+03 18 0.082 56.6696 818 SAFH 1981 813 0 0.1 4.3E+03 18 0.47 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 1982 814 0 0.1 9.1E+02 17 0.23 56.6696 820 SAFH 1983 815 0 0.1 5.2E+03 18 1.8 56.6696 821 SAFH 1985 816 0 0.1 6.1E+03 22 0.13 56.6696 822 SAFH 1986 817 0 0.1 27 22 0.059 56.6696 823 SAFH 1994 818 0 0.1 4.7E+03 22 0.22 56.6696 824 SAFH 1996 819 0 0.1 7.8E+03 18 3.5 56.6696 825 SAFH 1998 820 0 0.1 96 18 0.2 56.6696 826 SAFH 2002 821 0 0.1 9E+03 22 0.22 56.6696 827 SAFH 2004 822 0 0.1 1.3E+02 22 0.087 56.6696 828 SAFH 2006 823 0 0.1 9E+03 18 0.29 56.6696 829 SAFH 2007 824 0 0.1 18 18 0.097 56.6696 830 SAFH 2012 825 0 0.1 72 18 0.054 56.6696 831 SAFH 2016 826 0 0.1 45 18 0.028 56.6696 832 SAFH 2018 827 0 0.1 11 18 0.013 56.6696 833 SAFH 2027 828 0 0.1 7.4E+02 18 0.14 56.6696 834 SAFH 2029 829 0 0.1 5.1E+03 22 0.093 56.6696 835 SAFH 2030 830 0 0.1 5.1E+03 18 0.11 56.6696 836 SAFH 2031 831 0 0.1 20 18 0.042 56.6696 837 SAFH 2036 832 0 0.1 57 18 0.08 56.6696 838 SAFH 2037 833 0 0.1 0.01 18 0.023 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 2043 834 0 0.1 6.1E+03 24 0.06 56.6696 840 SAFH 2049 835 0 0.1 6.4E+03 18 0.11 56.6696 841 SAFH 2051 836 0 0.1 5E+03 18 0.047 56.6696 842 SAFH 2057 837 0 0.1 8E+03 18 0.76 56.6696 843 SAFH 2058 838 0 0.1 5.5 18 0.094 56.6696 844 SAFH 2062 839 0 0.1 47 18 0.035 56.6696 845 SAFH 2064 840 0 0.1 8.5E+03 22 0.65 56.6696 846 SAFH 2066 841 0 0.1 4.3E+03 21 0.071 56.6696 847 SAFH 2070 842 0 0.1 5.9E+03 18 0.45 56.6696 848 SAFH 2072 843 0 0.1 8.2E+03 24 0.12 56.6696 849 SAFH 2075 844 0 0.1 3E+03 19 0.098 56.6696 850 SAFH 2079 845 0 0.1 1.5E+02 20 0.041 56.6696 851 SAFH 2087 846 0 0.1 3.2E+03 22 0.039 56.6696 852 SAFH 2095 847 0 0.1 5.3E+03 22 0.098 56.6696 853 SAFH 2098 848 0 0.1 5.9E+03 24 0.094 56.6696 854 SAFH 2102 849 0 0.1 1.5E+03 22 0.047 56.6696 855 SAFH 2111 850 0 0.1 75 22 0.036 56.6696 856 SAFH 2113 851 0 0.1 6E+03 20 0.11 56.6696 857 SAFH 2114 852 0 0.1 3.4E+02 22 0.22 56.6696 858 SAFH 2115 853 0 0.1 5.9E+03 18 4.6 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 2119 854 0 0.1 6.7E+03 18 0.13 56.6696 860 SAFH 2120 855 0 0.1 8.4E+02 20 0.064 56.6696 861 SAFH 2124 856 0 0.1 6.2E+03 18 9.5 56.6696 862 SAFH 2125 857 0 0.1 3.8E+02 18 0.89 56.6696 863 SAFH 2126 858 0 0.1 46 18 0.43 56.6696 864 SAFH 2130 859 0 0.1 5.3E+03 22 0.35 56.6696 865 SAFH 2131 860 0 0.1 5E+03 19 0.042 56.6696 866 SAFH 2139 861 0 0.1 4.3E+03 20 0.064 56.6696 867 SAFH 2142 862 0 0.1 3.5E+03 19 0.22 56.6696 868 SAFH 2143 863 0 0.1 5E+02 19 0.17 56.6696 869 SAFH 2146 864 0 0.1 4E+02 19 0.055 56.6696 870 SAFH 2149 865 0 0.1 5E+03 22 0.17 56.6696 871 SAFH 2150 866 0 0.1 4.8E+03 22 2.3 56.6696 872 SAFH 2151 867 0 0.1 3.1E+02 22 0.22 56.6696 873 SAFH 2152 868 0 0.1 7.2E+03 19 0.51 56.6696 874 SAFH 2153 869 0 0.1 1.1 19 0.18 56.6696 875 SAFH 2155 870 0 0.1 7.1E+03 22 0.11 56.6696 876 SAFH 2157 871 0 0.1 1.3E+02 22 0.048 56.6696 877 SAFH 2164 872 0 0.1 6.9E+03 19 0.14 56.6696 878 SAFH 2165 873 0 0.1 1.5E+03 20 0.056 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 2168 874 0 0.1 5E+03 22 0.15 56.6696 880 SAFH 2169 875 0 0.1 17 22 0.072 56.6696 881 SAFH 2173 876 0 0.1 6E+03 20 0.39 56.6696 882 SAFH 2174 877 0 0.1 6.4E+03 22 0.96 56.6696 883 SAFH 2176 878 0 0.1 58 22 0.15 56.6696 884 SAFH 2177 879 0 0.1 32 22 0.037 56.6696 885 SAFH 2187 880 0 0.1 6.3E+03 22 0.11 56.6696 886 SAFH 2190 881 0 0.1 5.8E+03 22 0.04 56.6696 887 SAFH 2195 882 0 0.1 4.7E+03 20 0.32 56.6696 888 SAFH 2196 883 0 0.1 2.7E+03 19 1.4 56.6696 889 SAFH 2198 884 0 0.1 5.2E+03 20 0.16 56.6696 890 SAFH 2199 885 0 0.1 1.3E+02 22 0.064 56.6696 891 SAFH 2203 886 0 0.1 5.5E+03 22 1.2 56.6696 892 SAFH 2204 887 0 0.1 3.8E+03 22 0.1 56.6696 893 SAFH 2206 888 0 0.1 5.5E+03 18 6.6 56.6696 894 SAFH 2207 889 0 0.1 4.8E+03 20 0.14 56.6696 895 SAFH 2209 890 0 0.1 4E+03 20 0.12 56.6696 896 SAFH 2210 891 0 0.1 14 20 0.036 56.6696 897 SAFH 2214 892 0 0.1 40 20 0.06 56.6696 898 SAFH 2215 893 0 0.1 59 20 0.018 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 2223 894 0 0.1 3E+03 19 0.41 56.6696 900 SAFH 2225 895 0 0.1 7.6E+03 18 12 56.6696 901 SAFH 2226 896 0 0.1 1.9E+02 18 3.1 56.6696 902 SAFH 2227 897 0 0.1 94 18 1.2 56.6696 903 SAFH 2230 898 0 0.1 81 18 0.56 56.6696 904 SAFH 2235 899 0 0.1 6.8E+03 22 0.044 56.6696 905 SAFH 2241 900 0 0.1 3.6E+03 22 0.064 56.6696 906 SAFH 2247 901 0 0.1 5.6E+03 24 0.084 56.6696 907 SAFH 2250 902 0 0.1 7.7E+03 18 0.25 56.6696 908 SAFH 2254 903 0 0.1 9.4E+03 24 0.076 56.6696 909 SAFH 2258 904 0 0.1 9.4E+03 18 0.087 56.6696 910 SAFH 2261 905 0 0.1 7.1E+03 18 0.037 56.6696 911 SAFH 2265 906 0 0.1 3.9E+03 22 0.057 56.6696 912 SAFH 2270 907 0 0.1 7.1E+03 18 0.04 56.6696 913 SAFH 2271 908 0 0.1 7.4E+03 20 0.057 56.6696 914 SAFH 2272 909 0 0.1 4.5E+02 23 0.068 56.6696 915 SAFH 2273 910 0 0.1 8 23 0.031 56.6696 916 SAFH 2277 911 0 0.1 2E+03 17 0.041 56.6696 917 SAFH 2280 912 0 0.1 5E+03 19 0.099 56.6696 918 SAFH 2282 913 0 0.1 29 20 0.041 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 2290 914 0 0.1 6E+03 18 0.017 56.6696 920 SAFH 2293 915 0 0.1 8.2 18 0.01 56.6696 921 SAFH 2295 916 0 0.1 8E+03 20 0.32 56.6696 922 SAFH 2296 917 0 0.1 92 22 0.093 56.6696 923 SAFH 2298 918 0 0.1 1.2E+02 20 0.23 56.6696 924 SAFH 2299 919 0 0.1 5.5E+03 19 1.5 56.6696 925 SAFH 2300 920 0 0.1 5.9E+03 18 0.078 56.6696 926 SAFH 2304 921 0 0.1 8.8E+03 18 0.0069 56.6696 927 SAFH 2308 922 0 0.1 9.3 16 0.011 56.6696 928 SAFH 2309 923 0 0.1 9.3 14 0.0031 56.6696 929 SAFH 2315 924 0 0.1 7.5E+03 18 0.039 56.6696 930 SAFH 2318 925 0 0.1 7.7E+03 18 0.038 56.6696 931 SAFH 2322 926 0 0.1 18 18 0.019 56.6696 932 SAFH 2328 927 0 0.1 28 18 0.011 56.6696 933 SAFH 2334 928 0 0.1 44 18 0.08 56.6696 934 SAFH 2335 929 0 0.1 16 18 0.02 56.6696 935 SAFH 2336 930 0 0.1 8.4 18 0.0054 56.6696 936 SAFH 2340 931 0 0.1 20 18 0.0045 56.6696 937 SAFH 2344 932 0 0.1 56 18 0.045 56.6696 938 SAFH 2346 933 0 0.1 15 18 0.011 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 2347 934 0 0.1 10 18 0.014 56.6696 940 SAFH 2348 935 0 0.1 6.3 18 0.0034 56.6696 941 SAFH 2352 936 0 0.1 5.7 17 0.0034 56.6696 942 SAFH 2353 937 0 0.1 5 18 0.0047 56.6696 943 SAFH 2354 938 0 0.1 0.0015 17 0.0016 56.6696 944 SAFH 2356 939 0 0.1 3 18 0.00084 56.6696 945 SAFH 2357 940 0 0.1 2.5 18 0.00071 56.6696 946 SAFH 2358 941 0 0.1 7.7 17 0.001 56.6696 947 SAFH 2359 942 0 0.1 1.8 18 0.00079 56.6696 948 SAFH 2360 943 0 0.1 4.8 18 0.00085 56.6696 949 SAFH 2361 944 0 0.1 1.2 18 0.00064 56.6696 950 SAFH 2362 945 0 0.1 1.4 18 0.00052 56.6696 951 SAFH 2363 946 0 0.1 0.0014 17 0.00049 56.6696 952 SAFH 2364 947 0 0.1 0.94 16 0.00047 56.6696 953 SAFH 2365 948 0 0.1 0.0012 15 0.00025 56.6696 954 SAFH 2366 949 0 0.1 0.91 15 0.00021 56.6696 955 SAFH 2367 950 0 0.1 1.3 15 0.00021 56.6696 956 SAFH 2368 951 0 0.1 1.2 17 0.00016 56.6696 957 SAFH 2369 952 0 0.1 0.7 16 0.00013 56.6696 958 SAFH 2370 953 0 0.1 0.73 16 0.00026 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 2371 954 0 0.1 0.73 15 0.00013 56.6696 960 SAFH 2372 955 0 0.1 1.4 16 0.00012 56.6696 961 SAFH 2373 956 0 0.1 0.47 17 0.00011 56.6696 962 SAFH 2374 957 0 0.1 1 17 7.5E-05 56.6696 963 SAFH 2375 958 0 0.1 1.8 18 9.5E-05 56.6696 964 SAFH 2376 959 0 0.1 0.74 17 5.3E-05 56.6696 965 SAFH 2377 960 0 0.1 0.39 16 4E-05 56.6696 966 SAFH 2378 961 0 0.1 0.46 14 3.1E-05 56.6696 967 SAFH 2379 962 0 0.1 0.23 15 5.4E-05 56.6696 968 SAFH 2380 963 0 0.1 0.99 14 6.3E-05 56.6696 969 SAFH 2381 964 0 0.1 0.45 15 2.8E-05 56.6696 970 SAFH 2382 965 0 0.1 0.51 15 1.6E-05 56.6696 971 SAFH 2383 966 0 0.1 0.23 15 2.2E-05 56.6696 972 SAFH 2384 967 0 0.1 0.36 15 1.4E-05 56.6696 973 SAFH 2385 968 0 0.1 0.095 14 1.3E-05 56.6696 974 SAFH 2386 969 0 0.1 0.68 12 1.6E-05 56.6696 975 SAFH 2387 970 0 0.1 0.23 13 1.3E-05 56.6696 976 SAFH 2388 971 0 0.1 0.21 12 1.1E-05 56.6696 977 SAFH 2389 972 0 0.1 0.98 12 3.7E-05 56.6696 978 SAFH 2390 973 0 0.1 0.36 11 1.6E-05 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 2391 974 0 0.1 0.31 10 1.5E-05 56.6696 980 SAFH 2392 975 0 0.1 3.9 14 0.00052 56.6696 981 SAFH 2393 976 0 0.1 1.3 14 0.00013 56.6696 982 SAFH 2394 977 0 0.1 0.71 14 4.7E-05 56.6696 983 SAFH 2395 978 0 0.1 0.64 13 2.1E-05 56.6696 984 SAFH 2396 979 0 0.1 0.41 13 1.2E-05 56.6696 985 SAFH 2397 980 0 0.1 0.26 13 1.2E-05 56.6696 986 SAFH 2398 981 0 0.1 0.19 12 1.1E-05 56.6696 987 SAFH 2399 982 0 0.1 0.00096 11 1.1E-05 56.6696 988 SAFH 2400 983 0 0.1 0.19 10 1E-05 56.6696 989 SAFH 2401 984 0 0.1 2.4E-05 9 1E-05 56.6696 990 SAFH 2402 985 0 0.1 0.23 7 7.7E-06 56.6696 991 SAFH 2403 986 0 0.1 0.12 9 7E-06 56.6696 992 SAFH 2404 987 0 0.1 0.24 10 5.2E-06 56.6696 993 SAFH 2405 988 0 0.1 0.13 9 3.4E-06 56.6696 994 SAFH 2406 989 0 0.1 0.23 8 3.3E-06 56.6696 995 SAFH 2407 990 0 0.1 0.058 7 2.9E-06 56.6696 996 SAFH 2408 991 0 0.1 0.099 7 2.5E-06 56.6696 997 SAFH 2409 992 0 0.1 0.087 6 1.9E-06 56.6696 998 SAFH 2410 993 0 0.1 0.059 4 1.8E-06 56.6696 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 2411 994 0 0.1 0.19 2 1.3E-06 56.6696 1000 SAFH 2412 995 0 0.1 0.07 1 1.3E-06 56.6696 1001 SAFH 2413 996 0 0.1 0.14 1 1.5E-06 56.6696 1002 SAFH 2414 997 0 0.1 0.24 1 1.7E-06 56.6696 1003 SAFJ 2415 998 0 0.1 0.2 0 8.3E-07 56.6696 1004 AFJ 2415 998 0 0 0 0 8.3E-07 56.6696 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.101_nd-12._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 56.669620609999995509 Max constraint (29) : 1.6830199456308037043e-09 Alternative solution : MIP Alt. objective value : 56.669620609999995509 Max constraint (29) : 1.6830199456308037043e-09 Time used (seconds) : 684.58 Time limit (seconds) : 7200 Iterations used : 1004 Iteration limit : -1 Function evaluations : 89240 Gradient evaluations : 2455 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 2.2 % MIP time usage : 97.8 % Optimal/total MIPs : 1/1004 NLP solver calls : 1005 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- nd-12.gms(833) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job nd-12.gms Stop 09/14/12 14:58:46 elapsed 0:11:24.705 @04 1347627526 ----------------------------- Fr 14. Sep 14:58:46 CEST 2012 ----------------------------- =ready= Linux opt221 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/NetworkDesign/gms/nd-13.gms =========== ----------------------------- Fr 14. Sep 14:50:30 CEST 2012 ----------------------------- @03 1347627030 --- Job nd-13.gms Start 09/14/12 14:50:30 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- nd-13.gms(932) 2 Mb --- Starting execution: elapsed 0:00:00.018 --- nd-13.gms(930) 3 Mb --- Generating MINLP model m --- nd-13.gms(932) 5 Mb --- 285 rows 661 columns 2,553 non-zeroes --- 1,936 nl-code 572 nl-non-zeroes --- 44 discrete-columns --- nd-13.gms(932) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.027 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.102_nd-13._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2553 elements of which 22% are non-linear(NL) included in 285 constraints of which 15% are NL The NL constraint signs: =E=(0), =G=(44), =L=(0) The number of variables in NL elements are 572 from a total of 661 variables: Continuous(617), Binary(44), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=91 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (174) infeasibile 0 H 0 0 0 1 0 44 1.3 NA 1 SAFH 44 1 0 1 3.1E+04 38 1.4E+11 91.4953 2 SAFH 47 2 0 1 7.9E+03 39 8.5E+10 93.4539 3 SAFH 53 3 0 1 1.2E+04 38 1.4E+11 91.0419 4 SAFH 55 4 0 1 1.1E+04 39 2.1E+11 93.4539 5 SAFH 60 5 0 1 1.2E+04 39 1.3E+11 91.0419 6 SAFH 63 6 0 1 9.5E+03 37 1.6E+11 91.0419 7 SAFH 66 7 0 1 9.5E+03 38 1.8E+11 91.0419 8 SAFH 67 8 0 1 1E+04 38 4.7E+10 88.0793 9 SAFH 71 9 0 1 1.1E+04 38 1.4E+11 91.0419 10 SAFH 73 10 0 1 1.2E+04 39 1.1E+11 93.4539 11 SAFH 74 11 0 1 7.9E+03 38 7E+10 91.0419 12 SAFH 77 12 0 1 1.2E+04 39 1.3E+11 93.4539 13 SAFH 79 13 0 1 7.6E+03 38 6.4E+10 93.4539 14 SAFH 84 14 0 1 1.1E+04 38 1.2E+11 91.4953 15 SAFH 89 15 0 1 1.3E+04 39 2E+11 93.4539 16 SAFH 90 16 0 1 8.7E+03 38 5E+10 91.0419 17 SAFH 92 17 0 1 8.1E+03 39 2.3E+10 93.4539 18 SAFH 98 18 0 1 1.3E+04 37 6.9E+10 89.0735 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 101 19 0 1 9.5E+03 39 4.7E+10 93.4539 20 SAFH 104 20 0 1 9.4E+03 40 7.8E+10 93.4539 21 SAFH 106 21 0 1 9.9E+03 38 2.1E+10 91.0419 22 SAFH 111 22 0 1 1.4E+04 39 3.6E+10 93.4539 23 SAFH 115 23 0 1 1.1E+04 38 1.1E+11 91.4855 24 SAFH 116 24 0 1 8.9E+03 39 3.6E+10 93.4539 25 SAFH 117 25 0 1 1.1E+04 37 3.2E+10 89.0735 26 SAFH 119 26 0 1 1.1E+04 39 8.9E+10 93.4539 27 SAFH 120 27 0 1 6.5E+03 39 1.2E+10 93.4539 28 SAFH 126 28 0 1 1.2E+04 38 1.6E+11 93.4539 29 SAFH 127 29 0 1 5.6E+03 38 7.8E+10 93.4539 30 SAFH 128 30 0 1 8.2E+03 38 1.4E+11 93.4539 31 SAFH 129 31 0 1 7.6E+03 39 6.9E+10 93.4539 32 SAFH 130 32 0 1 8.3E+03 38 3.9E+10 93.4539 33 SAFH 134 33 0 1 9.2E+03 39 2.5E+10 93.4539 34 SAFH 136 34 0 1 7.1E+03 39 1.2E+10 93.4539 35 SAFH 140 35 0 1 8.9E+03 40 5.3E+10 93.4539 36 SAFH 141 36 0 1 8.9E+03 38 1.2E+10 91.0419 37 SAFH 143 37 0 1 9.4E+03 40 1.1E+10 93.4539 38 SAFH 148 38 0 1 9.4E+03 38 2.8E+10 90.4109 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 150 39 0 1 9.9E+03 38 3.6E+10 93.4539 40 SAFH 151 40 0 1 7.4E+03 37 1.1E+10 89.0832 41 SAFH 152 41 0 1 1.2E+04 38 1.4E+10 91.0419 42 SAFH 153 42 0 1 9.7E+03 39 3E+10 93.4539 43 SAFH 154 43 0 1 4.5E+03 39 5.8E+09 93.4539 44 SAFH 160 44 0 1 1.2E+04 37 4.5E+10 88.6298 45 SAFH 161 45 0 1 5.8E+03 37 1.8E+10 88.6298 46 SAFH 164 46 0 1 9.2E+03 39 1.8E+10 93.4539 47 SAFH 166 47 0 1 1E+04 39 5.9E+10 93.4539 48 SAFH 167 48 0 1 7.5E+03 38 3E+10 91.0419 49 SAFH 171 49 0 1 1.1E+04 37 3.9E+10 88.6298 50 SAFH 172 50 0 1 1.1E+04 37 1.8E+10 86.6711 51 SAFH 173 51 0 1 8.3E+03 37 7.4E+09 88.6298 52 SAFH 177 52 0 1 1.3E+04 38 8E+09 93.4539 53 SAFH 179 53 0 1 9.6E+03 37 1.7E+10 89.0832 54 SAFH 181 54 0 1 9.5E+03 39 5E+10 93.4539 55 SAFH 182 55 0 1 5.1E+03 39 1.7E+10 93.4539 56 SAFH 183 56 0 1 6.3E+03 39 8.7E+09 93.4539 57 SAFH 184 57 0 1 5.3E+03 38 2.9E+09 93.4539 58 SAFH 192 58 0 1 1.2E+04 38 8.9E+09 91.0419 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 193 59 0 1 7.8E+03 39 8.6E+09 93.4539 60 SAFH 195 60 0 1 1.2E+04 39 1.5E+10 93.4539 61 SAFH 197 61 0 1 9.1E+03 39 4.4E+09 93.4539 62 SAFH 201 62 0 1 9.1E+03 38 5.3E+09 93.4539 63 SAFH 205 63 0 1 8.9E+03 39 1.9E+09 93.4539 64 SAFH 209 64 0 1 8.9E+03 37 8.9E+10 91.0419 65 SAFH 210 65 0 1 6.1E+03 39 7.4E+09 93.4539 66 SAFH 211 66 0 1 4.4E+03 39 4.5E+10 93.4539 67 SAFH 212 67 0 1 6E+03 38 1.8E+10 93.4539 68 SAFH 213 68 0 1 5.5E+03 40 8.7E+09 93.4539 69 SAFH 217 69 0 1 1.2E+04 38 4.3E+09 93.4539 70 SAFH 219 70 0 1 1.1E+04 39 8.9E+09 93.4539 71 SAFH 222 71 0 1 9.2E+03 39 4E+09 93.4539 72 SAFH 226 72 0 1 1E+04 40 4.4E+09 93.4539 73 SAFH 229 73 0 1 9.6E+03 39 1.5E+09 91.4855 74 SAFH 235 74 0 1 8.3E+03 39 7.3E+08 93.4539 75 SAFH 239 75 0 1 9.8E+03 39 4.3E+09 93.4539 76 SAFH 242 76 0 1 1.4E+04 39 4.3E+09 93.4539 77 SAFH 244 77 0 1 6.4E+03 38 8.9E+09 93.4539 78 SAFH 245 78 0 1 4.5E+03 39 1.9E+10 93.4539 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 246 79 0 1 5.4E+03 37 4.4E+09 89.0735 80 SAFH 247 80 0 1 6.1E+03 39 9.8E+10 93.4539 81 SAFH 248 81 0 1 1.1E+03 39 4.9E+10 93.4539 82 SAFH 249 82 0 1 4.4E+03 38 2.2E+11 93.4539 83 SAFH 251 83 0 1 5.7E+03 39 9.7E+09 93.4539 84 SAFH 252 84 0 1 6E+03 39 3.7E+09 93.4539 85 SAFH 254 85 0 1 6.9E+03 39 1.8E+09 93.4539 86 SAFH 258 86 0 1 1.1E+04 38 1.7E+09 91.4953 87 SAFH 261 87 0 1 8.7E+03 40 1.7E+09 93.4539 88 SAFH 262 88 0 1 5.5E+03 40 1.5E+09 93.4539 89 SAFH 264 89 0 1 9.2E+03 39 2.2E+09 93.4539 90 SAFH 265 90 0 1 7.6E+03 39 6.7E+08 93.4539 91 SAFH 271 91 0 1 1.3E+04 39 2.2E+09 93.4539 92 SAFH 273 92 0 1 5.8E+03 39 3.7E+09 93.4539 93 SAFH 276 93 0 1 7.3E+03 39 1.1E+09 93.4539 94 SAFH 283 94 0 1 1.2E+04 38 2E+09 93.4539 95 SAFH 284 95 0 1 3.8E+03 39 2.2E+09 93.4539 96 SAFH 286 96 0 1 8.1E+03 40 2.5E+10 93.4539 97 SAFH 287 97 0 1 9.9E+03 39 1.1E+09 91.0419 98 SAFH 290 98 0 1 1.1E+04 40 5.3E+08 93.4539 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 296 99 0 1 1.1E+04 39 2.2E+10 93.4539 100 SAFH 297 100 0 1 4.8E+03 39 1.2E+10 93.4539 101 SAFH 298 101 0 1 7.9E+03 38 2.2E+10 91.0419 102 SAFH 299 102 0 1 9.8E+03 36 3.3E+09 89.226 103 SAFH 300 103 0 1 7.9E+03 39 4.9E+09 93.4539 104 SAFH 301 104 0 1 5.3E+03 38 7.8E+08 93.4539 105 SAFH 302 105 0 1 7.4E+03 38 1.1E+10 93.4539 106 SAFH 303 106 0 1 4.8E+03 38 6.2E+09 93.4539 107 SAFH 305 107 0 1 7.4E+03 39 2.4E+09 93.4539 108 SAFH 307 108 0 1 1.1E+04 39 1.1E+10 93.4539 109 SAFH 308 109 0 1 7.8E+03 39 1.1E+09 93.4539 110 SAFH 310 110 0 1 1E+04 38 5.4E+08 91.4953 111 SAFH 312 111 0 1 1.1E+04 39 4.6E+08 93.4539 112 SAFH 315 112 0 1 1E+04 38 1.2E+09 93.4539 113 SAFH 317 113 0 1 8.1E+03 39 5.4E+08 93.4539 114 SAFH 322 114 0 1 1.3E+04 39 5.6E+08 93.4539 115 SAFH 325 115 0 1 1E+04 39 2.6E+08 93.4539 116 SAFH 331 116 0 1 1.2E+04 40 8.2E+08 93.4539 117 SAFH 332 117 0 1 9.4E+03 39 1.1E+09 93.4539 118 SAFH 333 118 0 1 6.9E+03 37 5.4E+08 87.7254 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 334 119 0 1 8.6E+03 39 2.7E+08 93.4539 120 SAFH 340 120 0 1 1.3E+04 37 9.2E+08 89.0735 121 SAFH 342 121 0 1 9.4E+03 38 6.1E+08 91.4855 122 SAFH 343 122 0 1 8.2E+03 39 2.8E+08 93.4539 123 SAFH 346 123 0 1 1.1E+04 37 2.8E+09 87.7015 124 SAFH 347 124 0 1 9.6E+03 39 1.3E+08 93.4539 125 SAFH 353 125 0 1 1.1E+04 39 2.2E+08 93.4539 126 SAFG 355 126 0 1 3.5E+04 0 2.3E-13 93.4539 126 FOUND SOLUTION: 93.4539 (NLP) in 10 sec. 127 SAFH 355 126 0 1 2.9E+04 39 3.3E+08 93.4539 128 SAFH 356 127 0 1 7.9E+03 39 1.7E+08 93.4539 129 SAFH 358 128 0 1 1.1E+04 39 4.6E+08 93.4539 130 SAFH 359 129 0 1 1E+04 39 1.4E+09 93.4539 131 SAFH 361 130 0 1 6.3E+03 39 5.6E+08 93.4539 132 SAFH 362 131 0 1 7.7E+03 39 2.4E+08 93.4539 133 SAFH 364 132 0 1 7.7E+03 39 1.2E+08 93.4539 134 SAFH 368 133 0 1 6.9E+03 39 7E+08 93.4539 135 SAFH 370 134 0 1 9.4E+03 38 2.7E+08 91.0419 136 SAFH 371 135 0 1 9.1E+03 39 5E+08 93.4539 137 SAFG 372 136 0 1 4E+04 0 2.3E-13 91.4855 137 FOUND SOLUTION: 91.4855 (NLP) in 11 sec. 138 SAFH 372 136 0 1 3.6E+04 38 1.3E+08 91.4855 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 375 137 0 1 8.2E+03 38 2.7E+08 91.0419 140 SAFH 377 138 0 1 5.8E+03 39 2.8E+08 93.4539 141 SAFH 378 139 0 1 7.7E+03 39 1.4E+08 93.4539 142 SAFH 382 140 0 1 1.2E+04 38 1.3E+08 93.4539 143 SAFH 384 141 0 1 7.3E+03 39 1.1E+08 93.4539 144 SAFH 388 142 0 1 8.4E+03 39 6.8E+07 93.4539 145 SAFH 393 143 0 1 9.8E+03 39 5.4E+08 93.4539 146 SAFH 394 144 0 1 5.8E+03 39 3.5E+08 93.4539 147 SAFH 396 145 0 1 7.6E+03 39 2.7E+08 93.4539 148 SAFH 397 146 0 1 6.7E+03 38 2.1E+08 90.9111 149 SAFH 399 147 0 1 9.7E+03 39 1.3E+08 93.4539 150 SAFH 400 148 0 1 6.3E+03 39 2.4E+10 93.4539 151 SAFH 401 149 0 1 0.00028 39 1.2E+10 93.4539 152 SAFH 402 150 0 1 5.5E+03 39 1.1E+08 93.4539 153 SAFH 405 151 0 1 1.1E+04 38 4.6E+07 93.4539 154 SAFH 407 152 0 1 8.7E+03 39 2.8E+08 93.4539 155 SAFH 408 153 0 1 6E+03 39 1.4E+08 93.4539 156 SAFH 409 154 0 1 6.3E+03 39 5.4E+07 93.4539 157 SAFH 412 155 0 1 1.1E+04 39 3.4E+07 93.4539 158 SAFH 417 156 0 1 1.1E+04 38 3E+08 93.4539 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 418 157 0 1 8.3E+03 38 5.4E+07 91.0419 160 SAFH 422 158 0 1 9.2E+03 39 6.3E+07 93.4539 161 SAFH 424 159 0 1 6.1E+03 38 2E+11 91.0419 162 SAFH 425 160 0 1 6.9E+03 39 1.2E+08 93.4539 163 SAFH 426 161 0 1 5.8E+03 39 1.4E+08 93.4539 164 SAFH 427 162 0 1 7.1E+03 38 4.2E+07 91.0419 165 SAFG 429 163 0 1 3.7E+04 0 3.4E-13 88.6298 165 FOUND SOLUTION: 88.6298 (NLP) in 14 sec. 166 SAFH 429 163 0 1 3.4E+04 36 2.1E+07 88.6298 167 SAFH 434 164 0 1 1.2E+04 37 6.8E+07 93.4539 168 SAFH 435 165 0 1 8.5E+03 38 1.4E+08 91.4855 169 SAFH 436 166 0 1 7.8E+03 39 6.8E+07 93.4539 170 SAFH 439 167 0 1 1.1E+04 39 3.1E+07 93.4539 171 SAFH 443 168 0 1 1.1E+04 38 1E+08 91.4855 172 SAFH 444 169 0 1 7.2E+03 39 2.9E+07 93.4539 173 SAFH 446 170 0 1 1E+04 39 5.6E+09 93.4539 174 SAFH 447 171 0 1 9.2E+03 39 2.4E+07 93.4539 175 SAFH 451 172 0 1 8E+03 39 1.1E+07 93.4539 176 SAFH 455 173 0 1 1.2E+04 37 1.5E+08 91.0419 177 SAFG 456 174 0 1 4.1E+04 0 1.4E-12 86.6614 177 FOUND SOLUTION: 86.6614 (NLP) in 15 sec. 178 SAFH 456 174 0 1 3.5E+04 36 6.9E+07 86.6614 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 457 175 0 1 6.8E+03 38 3.5E+07 91.0419 180 SAFH 459 176 0 1 9.2E+03 40 1.2E+09 93.4539 181 SAFH 460 177 0 1 6E+02 40 1.7E+08 93.4539 182 SAFH 461 178 0 1 0.011 40 8.3E+07 93.4539 183 SAFH 462 179 0 1 0.022 40 4.2E+07 93.4539 184 SAFH 463 180 0 1 7.7E+03 37 6.6E+07 88.6298 185 SAFH 464 181 0 1 6E+03 36 6.1E+08 86.6614 186 SAFH 465 182 0 1 5.5E+03 37 3.3E+07 88.6298 187 SAFH 466 183 0 1 7.2E+03 40 3E+08 93.4539 188 SAFH 467 184 0 1 3.5E+03 40 1.7E+07 93.4539 189 SAFH 473 185 0 1 9.7E+03 39 1.6E+07 93.4539 190 SAFH 477 186 0 1 1.2E+04 39 8.7E+07 93.4539 191 SAFH 479 187 0 1 8.6E+03 38 1.2E+07 90.9111 192 SAFH 482 188 0 1 7.8E+03 39 7.6E+07 93.4539 193 SAFH 483 189 0 1 5.6E+03 39 1E+07 93.4539 194 SAFH 488 190 0 1 9.7E+03 38 1.7E+07 93.4539 195 SAFH 490 191 0 1 8.7E+03 38 5.7E+06 93.4539 196 SAFH 495 192 0 1 1.1E+04 39 6.9E+07 93.4539 197 SAFH 496 193 0 1 6.5E+03 38 3.5E+07 91.0419 198 SAFH 498 194 0 1 8.6E+03 40 2.1E+07 93.4539 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 499 195 0 1 3.7E+03 40 1E+07 93.4539 200 SAFH 503 196 0 1 8.5E+03 39 1.5E+08 93.4539 201 SAFH 504 197 0 0.5 6.2E+03 36 7.6E+07 85.7749 202 SAFH 505 198 0 0.5 9.8E+03 38 2.6E+07 91.0419 203 SAFH 506 199 0 0.5 1.1E+04 39 6.1E+09 92.7594 204 SAFH 507 200 0 0.5 1E+04 37 3.4E+07 87.7433 205 SAFH 508 201 0 0.5 4.5E+04 38 3.4E+07 92.5755 206 SAFH 509 202 0 0.5 4.4E+04 38 5.6E+08 89.5171 207 SAFH 510 203 0 0.5 1.6E+04 38 2.8E+09 89.5171 208 SAFH 511 204 0 0.5 4.6E+04 37 3.8E+07 86.1767 209 SAFH 512 205 0 0.5 8.1E+03 38 3.8E+06 92.7594 210 SAFH 516 206 0 0.5 1.1E+04 38 1.7E+07 89.5171 211 SAFH 517 207 0 0.5 1.4E+04 38 2.5E+10 92.7594 212 SAFH 518 208 0 0.5 1.1E+04 38 1.7E+07 91.4953 213 SAFH 519 209 0 0.5 7.1E+03 38 7.8E+06 89.5171 214 SAFH 525 210 0 0.5 1.4E+04 39 6.8E+06 91.4953 215 SAFH 526 211 0 0.5 4.6E+04 38 1.7E+07 92.5755 216 SAFH 530 212 0 0.5 4.4E+04 38 2.8E+08 92.5755 217 SAFH 531 213 0 0.5 4.7E+04 37 8.5E+06 88.8333 218 SAFH 532 214 0 0.5 9.8E+03 39 1.9E+07 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 533 215 0 0.5 1E+04 38 1.3E+10 92.7594 220 SAFH 534 216 0 0.5 9.3E+03 37 2.8E+06 89.5171 221 SAFH 537 217 0 0.5 1.2E+04 39 6.8E+06 92.5755 222 SAFH 540 218 0 0.5 1E+04 38 2.6E+06 91.0419 223 SAFH 543 219 0 0.5 8.6E+03 37 8.4E+06 92.5755 224 SAFH 545 220 0 0.5 1.1E+04 38 3.8E+07 89.5171 225 SAFH 546 221 0 0.5 6.2E+03 39 6.3E+09 92.7594 226 SAFH 547 222 0 0.5 4.4E+04 39 2.2E+10 92.0757 227 SAFH 548 223 0 0.5 4.6E+04 38 3.9E+06 92.7594 228 SAFH 550 224 0 0.5 9.8E+03 38 3.9E+06 89.5171 229 SAFH 553 225 0 0.5 8.6E+03 39 3.2E+09 92.7594 230 SAFH 554 226 0 0.5 4.5E+04 39 1.6E+09 92.0757 231 SAFH 555 227 0 0.5 4.5E+04 39 7.9E+08 92.7594 232 SAFH 556 228 0 0.5 8.4E+03 38 8.3E+06 91.0419 233 SAFH 557 229 0 0.5 8.4E+03 39 4E+08 92.7594 234 SAFH 558 230 0 0.5 9.2E+03 37 4.1E+06 88.6298 235 SAFH 561 231 0 0.5 4.7E+04 38 1.1E+10 92.5755 236 SAFH 562 232 0 0.5 4.6E+04 38 5.6E+09 92.5755 237 SAFH 563 233 0 0.5 7.9E+03 38 2.2E+10 90.8017 238 SAFH 564 234 0 0.5 9.9E+03 38 2.6E+06 91.0419 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 570 235 0 0.5 1.1E+04 38 2.5E+10 92.7594 240 SAFH 571 236 0 0.5 1.1E+04 38 2.8E+09 92.5755 241 SAFH 572 237 0 0.5 4.6E+04 38 2E+08 92.7594 242 SAFH 574 238 0 0.5 4.5E+04 37 9.5E+06 89.5171 243 SAFH 575 239 0 0.5 7.4E+03 38 2E+06 91.4855 244 SAFH 580 240 0 0.5 1.1E+04 36 2E+06 84.8876 245 SAFH 583 241 0 0.5 1.2E+04 37 4.2E+06 89.5171 246 SAFH 584 242 0 0.5 9.1E+03 38 9.8E+10 91.0419 247 SAFH 585 243 0 0.5 3.5E+02 38 4.9E+10 91.0419 248 SAFH 586 244 0 0.5 2.4E-05 38 2.4E+10 91.0419 249 SAFH 587 245 0 0.5 4.8E-05 38 1.2E+10 91.0419 250 SAFH 588 246 0 0.5 9.6E-05 38 6.1E+09 91.0419 251 SAFH 589 247 0 0.5 4.8E+04 38 6.9E+07 92.5755 252 SAFH 590 248 0 0.5 1.1E+04 38 3E+06 92.7594 253 SAFH 591 249 0 0.5 1.3E+04 37 2.1E+06 89.5171 254 SAFH 595 250 0 0.5 4.9E+04 38 9.9E+07 92.7594 255 SAFH 596 251 0 0.5 9.1E+03 37 3.5E+07 89.5171 256 SAFH 598 252 0 0.5 4.5E+04 38 1.9E+07 92.5755 257 SAFH 600 253 0 0.5 4.6E+04 38 4.9E+07 92.7594 258 SAFH 601 254 0 0.5 4.6E+04 38 2.5E+07 92.7594 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 602 255 0 0.5 1.5E+04 38 4.3E+06 92.7594 260 SAFH 603 256 0 0.5 1.3E+04 37 8.7E+06 89.7164 261 SAFH 604 257 0 0.5 4.7E+04 37 1.4E+07 89.5171 262 SAFH 606 258 0 0.5 8.2E+03 37 4.3E+07 89.0735 263 SAFH 607 259 0 0.5 2.1E+03 37 3.1E+09 89.0735 264 SAFH 608 260 0 0.5 5.9E+03 37 1.5E+09 89.0735 265 SAFH 609 261 0 0.5 0.00077 37 7.6E+08 89.0735 266 SAFH 610 262 0 0.5 0.0015 37 3.8E+08 89.0735 267 SAFH 611 263 0 0.5 0.0031 37 1.9E+08 89.0735 268 SAFH 612 264 0 0.5 0.0062 37 9.5E+07 89.0735 269 SAFH 613 265 0 0.5 0.012 37 4.8E+07 89.0735 270 SAFH 614 266 0 0.5 0.025 37 2.4E+07 89.0735 271 SAFH 616 267 0 0.5 6E+03 37 1.1E+07 89.0735 272 SAFH 618 268 0 0.5 6.2E+03 37 5.4E+06 89.0735 273 SAFH 621 269 0 0.5 1.3E+04 38 1.4E+09 92.5755 274 SAFH 622 270 0 0.5 8.1E+03 37 9.5E+05 89.5171 275 SAFH 628 271 0 0.5 8.7E+03 38 4.7E+06 92.5755 276 SAFH 629 272 0 0.5 7E+03 38 6.4E+06 91.995 277 SAFH 630 273 0 0.5 8.5E+03 37 1E+06 89.5366 278 SAFH 634 274 0 0.5 1.3E+04 38 6.9E+08 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 635 275 0 0.5 8.4E+03 38 7.2E+06 91.0419 280 SAFH 636 276 0 0.5 4.6E+04 37 1.7E+06 89.5171 281 SAFH 638 277 0 0.5 4.7E+04 38 3.2E+06 91.0419 282 SAFH 639 278 0 0.5 9.2E+03 39 1.1E+06 90.9111 283 SAFH 643 279 0 0.5 1.2E+04 37 3.1E+09 91.0419 284 SAFH 644 280 0 0.5 1.2E+04 38 3.5E+08 92.5755 285 SAFH 645 281 0 0.5 4.7E+04 38 8.4E+06 92.5755 286 SAFH 646 282 0 0.5 4.7E+04 38 1.2E+07 92.7594 287 SAFH 647 283 0 0.5 9E+03 38 5.2E+05 91.4953 288 SAFH 651 284 0 0.5 1.1E+04 38 3.6E+06 92.5755 289 SAFH 653 285 0 0.5 4.4E+04 38 2.2E+06 92.5755 290 SAFH 654 286 0 0.5 1.3E+04 38 1.7E+08 92.5755 291 SAFH 655 287 0 0.5 1.7E+04 37 3.4E+06 89.5171 292 SAFH 660 288 0 0.5 1.7E+04 37 6.2E+06 89.0172 293 SAFH 661 289 0 0.5 1.5E+04 38 2.1E+06 92.5755 294 SAFH 664 290 0 0.5 4.6E+04 38 1.5E+09 90.9111 295 SAFH 665 291 0 0.5 0.00077 38 7.6E+08 90.9111 296 SAFH 666 292 0 0.5 0.0015 38 3.8E+08 90.9111 297 SAFH 667 293 0 0.5 0.0031 38 1.9E+08 90.9111 298 SAFH 668 294 0 0.5 9.9E+03 37 1.4E+09 88.9427 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 669 295 0 0.5 0.003 37 7E+08 88.9427 300 SAFH 670 296 0 0.5 0.0059 37 3.5E+08 88.9427 301 SAFH 671 297 0 0.5 0.012 37 1.7E+08 88.9427 302 SAFH 673 298 0 0.5 0.034 37 8.7E+07 88.9427 303 SAFH 675 299 0 0.5 0.068 37 4.3E+07 88.9427 304 SAFH 677 300 0 0.5 6.3E+03 37 4.2E+06 88.9427 305 SAFH 678 301 0 0.5 6.3E+03 37 3.1E+09 88.9427 306 SAFH 679 302 0 0.5 0.00022 37 1.6E+09 88.9427 307 SAFH 680 303 0 0.5 0.00045 37 7.8E+08 88.9427 308 SAFH 681 304 0 0.5 0.0009 37 3.9E+08 88.9427 309 SAFH 682 305 0 0.5 0.0018 37 1.9E+08 88.9427 310 SAFH 683 306 0 0.5 0.0036 37 9.7E+07 88.9427 311 SAFH 684 307 0 0.5 0.0072 37 4.8E+07 88.9427 312 SAFH 685 308 0 0.5 4E+03 37 2.4E+07 88.9427 313 SAFH 686 309 0 0.5 5.8E+03 37 1.2E+07 88.9427 314 SAFH 687 310 0 0.5 6.9E+03 37 2.2E+07 88.9427 315 SAFH 689 311 0 0.5 6E+03 39 1.1E+07 93.4539 316 SAFH 690 312 0 0.5 7.1E+03 38 6.1E+06 91.0419 317 SAFH 691 313 0 0.5 5.2E+03 38 5.4E+06 91.0419 318 SAFH 692 314 0 0.5 6.5E+03 39 3E+06 93.4539 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 693 315 0 0.5 1.1E+04 36 2.7E+06 92.5755 320 SAFH 695 316 0 0.5 1.3E+04 38 2.2E+06 91.0419 321 SAFH 697 317 0 0.5 1.2E+04 38 2.1E+06 91.8917 322 SAFH 699 318 0 0.5 1.2E+04 37 7.6E+05 89.5171 323 SAFH 703 319 0 0.5 1.4E+04 38 1.1E+10 92.5755 324 SAFH 704 320 0 0.5 9.1E+03 38 8.7E+07 92.5755 325 SAFH 705 321 0 0.5 9.1E+03 38 5.6E+09 92.5755 326 SAFH 706 322 0 0.5 1E+04 38 1.4E+06 91.0419 327 SAFH 708 323 0 0.5 4.9E+04 37 1.2E+06 89.5171 328 SAFH 710 324 0 0.5 4.9E+04 38 1.6E+06 91.0419 329 SAFH 713 325 0 0.5 1.3E+04 39 6.4E+05 91.0419 330 SAFH 717 326 0 0.5 1.1E+04 37 3.2E+05 89.0735 331 SAFH 723 327 0 0.5 8.8E+03 37 4.7E+06 88.6298 332 SAFH 724 328 0 0.5 6.4E+03 37 8.5E+05 88.6298 333 SAFH 727 329 0 0.5 1.5E+04 38 5.3E+05 92.5755 334 SAFH 731 330 0 0.5 1.1E+04 36 1.1E+06 85.7749 335 SAFH 733 331 0 0.5 1.1E+04 38 1.1E+06 91.0419 336 SAFH 734 332 0 0.5 1.2E+04 38 3.1E+06 92.7594 337 SAFH 735 333 0 0.5 1.2E+04 38 3.8E+05 91.0419 338 SAFH 737 334 0 0.5 9.7E+03 38 4.9E+05 91.0419 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 739 335 0 0.5 1E+04 38 8E+05 92.5755 340 SAFH 740 336 0 0.5 4.8E+04 37 4.3E+07 92.5755 341 SAFH 741 337 0 0.5 1.3E+04 38 9E+05 92.7594 342 SAFH 743 338 0 0.5 4.7E+04 38 4.9E+05 91.4855 343 SAFH 744 339 0 0.5 1E+04 38 2.8E+09 92.0757 344 SAFH 745 340 0 0.5 9.1E+03 38 1.8E+05 91.4855 345 SAFH 749 341 0 0.5 1.3E+04 38 6E+06 91.4953 346 SAFH 750 342 0 0.5 0.56 38 3E+06 91.4953 347 SAFH 751 343 0 0.5 1.1 38 1.5E+06 91.4953 348 SAFH 752 344 0 0.5 4.7E+04 38 1.5E+06 92.7594 349 SAFH 754 345 0 0.5 1.4E+04 38 1.4E+09 92.0757 350 SAFH 755 346 0 0.5 4.8E+04 38 6.9E+08 92.5755 351 SAFH 756 347 0 0.5 9.9E+03 37 5.3E+05 89.0716 352 SAFH 757 348 0 0.5 4.8E+04 38 5.4E+05 92.5755 353 SAFH 760 349 0 0.5 4.9E+04 38 2.6E+05 91.4953 354 SAFH 763 350 0 0.5 9.1E+03 38 6.8E+05 91.0419 355 SAFH 764 351 0 0.5 7.4E+03 38 4.5E+05 91.0419 356 SAFH 765 352 0 0.5 1E+04 37 2.1E+05 89.5171 357 SAFH 769 353 0 0.5 1.2E+04 38 5.3E+05 92.5755 358 SAFH 771 354 0 0.5 1.3E+04 37 2.4E+06 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 772 355 0 0.5 4.5E+04 38 7.7E+05 92.7594 360 SAFH 773 356 0 0.5 4.6E+04 38 2.7E+05 91.0419 361 SAFH 776 357 0 0.5 1.2E+04 38 2.3E+05 91.0419 362 SAFH 779 358 0 0.5 8.9E+03 37 8.9E+04 91.0419 363 SAFH 785 359 0 0.5 1.1E+04 36 2.2E+07 92.5755 364 SAFH 786 360 0 0.5 0.017 36 1.1E+07 92.5755 365 SAFH 787 361 0 0.5 4.3E+04 38 2.6E+05 92.7594 366 SAFH 792 362 0 0.5 4.8E+04 38 1.6E+05 91.0419 367 SAFH 795 363 0 0.5 8.1E+03 37 2.4E+05 88.6298 368 SAFH 796 364 0 0.5 1.1E+04 38 1.2E+06 92.7594 369 SAFH 797 365 0 0.5 4.6E+04 38 5.4E+05 92.5755 370 SAFH 798 366 0 0.5 4.6E+04 37 1.1E+05 91.0419 371 SAFH 803 367 0 0.5 9.4E+03 36 5.9E+05 88.6298 372 SAFH 804 368 0 0.5 5.5E+03 37 4.3E+05 91.0419 373 SAFH 805 369 0 0.5 8.5E+03 37 1.2E+05 89.5171 374 SAFH 807 370 0 0.5 9.7E+03 38 3.2E+05 89.5171 375 SAFH 808 371 0 0.5 4.6E+04 37 1.3E+05 89.5171 376 SAFH 810 372 0 0.5 1.3E+04 38 6.6E+04 92.5755 377 SAFH 814 373 0 0.5 4.8E+04 37 5.9E+04 91.0419 378 SAFH 819 374 0 0.5 8.9E+03 36 2.1E+05 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 821 375 0 0.5 6.8E+03 37 1.3E+05 91.4855 380 SAFH 823 376 0 0.5 7.4E+03 38 1.5E+05 89.6697 381 SAFH 824 377 0 0.5 2.2E+03 38 7.2E+04 89.6697 382 SAFH 827 378 0 0.5 8.4E+03 38 2.7E+05 92.5755 383 SAFH 828 379 0 0.5 4.4E+04 37 3.5E+08 88.8333 384 SAFH 829 380 0 0.5 4.4E+04 38 4.4E+04 92.5755 385 SAFH 833 381 0 0.5 1.1E+04 37 5.3E+04 88.6298 386 SAFH 835 382 0 0.5 9.7E+03 38 2E+05 91.0419 387 SAFH 836 383 0 0.5 7.5E+03 38 4.7E+04 91.0419 388 SAFH 839 384 0 0.5 4.6E+04 37 2.3E+05 89.5171 389 SAFH 840 385 0 0.5 9.8E+03 37 6.6E+04 89.5171 390 SAFH 841 386 0 0.5 4.6E+04 38 1.4E+05 92.5755 391 SAFH 843 387 0 0.5 4.6E+04 37 6.6E+04 89.5269 392 SAFH 844 388 0 0.5 8.9E+03 39 2.2E+11 91.0419 393 SAFH 845 389 0 0.5 6.4E+03 38 2.2E+04 91.8047 394 SAFH 850 390 0 0.5 1E+04 37 6.8E+05 91.0419 395 SAFH 851 391 0 0.5 8.7E+03 38 5.4E+05 91.0419 396 SAFH 853 392 0 0.5 7.4E+03 38 7.4E+05 91.0419 397 SAFH 854 393 0 0.5 7.3E+03 38 2.6E+04 91.0419 398 SAFH 858 394 0 0.5 9.5E+03 38 6.7E+04 91.0419 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 861 395 0 0.5 8.2E+03 38 2.7E+05 88.9427 400 SAFH 862 396 0 0.5 4.6E+04 38 1.4E+05 90.8017 401 SAFH 863 397 0 0.3 1.2E+04 30 6.7E+04 65.505 402 SAFG 865 398 0 0.3 4.3E+04 0 5.7E-13 85.2238 402 FOUND SOLUTION: 85.2238 (NLP) in 93 sec. 403 SAFH 865 398 0 0.3 1.7E+04 36 1E+04 85.2238 404 SAFH 866 399 0 0.3 4.5E+04 36 3.4E+04 81.7507 405 SAFH 867 400 0 0.3 4.6E+04 31 1.7E+05 68.8222 406 SAFH 868 401 0 0.3 4.5E+04 38 1.2E+07 89.5171 407 SAFH 869 402 0 0.3 4.6E+04 37 1.6E+04 89.5171 408 SAFH 871 403 0 0.3 4.4E+04 36 1.1E+05 81.9038 409 SAFH 872 404 0 0.3 4.6E+04 38 2.3E+04 91.4855 410 SAFH 876 405 0 0.3 1.2E+04 36 3.4E+05 85.7749 411 SAFH 877 406 0 0.3 1.3E+04 38 6.6E+04 92.5755 412 SAFH 879 407 0 0.3 4.6E+04 31 1.7E+05 65.5901 413 SAFH 881 408 0 0.3 4.5E+04 30 8.4E+04 66.8924 414 SAFH 882 409 0 0.3 1.1E+04 38 1.3E+04 89.5171 415 SAFH 886 410 0 0.3 4.3E+04 38 7.1E+03 92.5755 416 SAFH 888 411 0 0.3 4.8E+04 30 3.4E+04 67.0179 417 SAFH 893 412 0 0.3 4.7E+04 38 3.5E+03 89.2351 418 SAFH 897 413 0 0.3 4.6E+04 38 3.3E+04 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 898 414 0 0.3 4.5E+04 38 1.1E+03 92.5755 420 SAFG 903 415 0 0.3 4.1E+04 0 4.5E-13 78.6923 420 FOUND SOLUTION: 78.6923 (NLP) in 127 sec. 421 SAFH 903 415 0 0.3 1.9E+04 35 5.4E+03 78.6923 422 SAFH 904 416 0 0.3 4.5E+04 29 3.4E+04 67.59 423 SAFH 907 417 0 0.3 1.5E+04 28 4.2E+04 63.4236 424 SAFH 909 418 0 0.3 4.1E+04 30 8.4E+04 66.8538 425 SAFH 910 419 0 0.3 4.2E+04 38 4.7E+03 89.5171 426 SAFH 912 420 0 0.3 4.3E+04 38 7.1E+03 89.5171 427 SAFH 914 421 0 0.3 4.7E+04 30 1.6E+04 67.092 428 SAFH 919 422 0 0.3 4.3E+04 39 7.9E+03 92.5755 429 SAFH 920 423 0 0.3 1.1E+04 33 7.8E+03 75.0828 430 SAFH 921 424 0 0.3 4.4E+04 28 4.2E+04 61.8989 431 SAFH 923 425 0 0.3 4.2E+04 38 9.4E+04 89.5171 432 SAFH 924 426 0 0.3 4.2E+04 29 2.1E+04 63.7242 433 SAFH 925 427 0 0.3 4.3E+04 30 2.1E+04 67.985 434 SAFH 926 428 0 0.3 4.7E+04 38 3.9E+05 92.7594 435 SAFH 927 429 0 0.3 4.6E+04 32 5.6E+03 70.8723 436 SAFH 930 430 0 0.3 4.6E+04 30 1.6E+04 68.0707 437 SAFH 932 431 0 0.3 4E+04 32 1E+04 69.3976 438 SAFH 934 432 0 0.3 4.4E+04 31 1.3E+04 68.3322 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 936 433 0 0.3 4.6E+04 37 2.4E+03 89.5171 440 SAFH 937 434 0 0.3 4.6E+04 37 4.7E+04 89.5171 441 SAFH 938 435 0 0.3 4.6E+04 35 1.6E+04 80.2066 442 SAFG 940 436 0 0.3 2.6E+04 0 2.3E-13 77.8721 442 FOUND SOLUTION: 77.8721 (NLP) in 171 sec. 443 SAFH 940 436 0 0.3 2E+04 34 2.3E+03 77.8721 444 SAFH 942 437 0 0.3 4.8E+04 39 5.4E+06 92.5755 445 SAFH 943 438 0 0.3 4.6E+04 34 7.3E+03 76.5882 446 SAFH 945 439 0 0.3 4.4E+04 36 8.9E+04 81.4816 447 SAFH 947 440 0 0.3 4.6E+04 38 2.1E+03 89.5171 448 SAFH 951 441 0 0.3 4.3E+04 38 5E+02 92.7594 449 SAFH 958 442 0 0.3 4.6E+04 34 1.7E+04 75.0828 450 SAFG 960 443 0 0.3 3E+04 0 4.5E-13 72.6707 450 FOUND SOLUTION: 72.6707 (NLP) in 189 sec. 451 SAFH 960 443 0 0.3 3.2E+04 33 4.9E+03 72.6707 452 SAFH 962 444 0 0.3 4.2E+04 30 9.2E+03 66.3228 453 SAFH 965 445 0 0.3 1.8E+04 38 4.7E+02 91.4855 454 SAFH 971 446 0 0.3 4.1E+04 37 1.5E+03 89.5171 455 SAFH 973 447 0 0.3 4.3E+04 34 6E+03 75.052 456 SAFH 975 448 0 0.3 4.3E+04 38 1.6E+03 89.5171 457 SAFG 976 449 0 0.3 4.3E+04 0 2.3E-13 70.5339 457 FOUND SOLUTION: 70.5339 (NLP) in 204 sec. 458 SAFH 976 449 0 0.3 2.3E+04 31 3.8E+03 70.5339 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 979 450 0 0.3 4.2E+04 35 1.3E+03 78.6923 460 SAFH 982 451 0 0.3 4.2E+04 38 6.9E+02 89.5171 461 SAFH 985 452 0 0.3 4.2E+04 37 2.9E+03 89.5171 462 SAFH 986 453 0 0.3 4.3E+04 39 6.3E+03 92.5755 463 SAFH 990 454 0 0.3 4.5E+04 38 1.7E+03 92.5755 464 SAFH 993 455 0 0.3 3.9E+04 37 3.6E+02 89.5171 465 SAFH 998 456 0 0.3 4E+04 33 2E+03 75.8875 466 SAFH 999 457 0 0.3 4.2E+04 38 7.9E+03 89.5171 467 SAFH 1000 458 0 0.3 4.1E+04 39 6.2E+02 92.5755 468 SAFH 1005 459 0 0.3 4.2E+04 30 3.4E+03 70.9802 469 SAFH 1006 460 0 0.3 3.8E+04 34 1.9E+05 76.6452 470 SAFH 1007 461 0 0.3 4.2E+04 38 3.1E+03 92.7594 471 SAFH 1009 462 0 0.3 4.1E+04 39 7.6E+03 92.5755 472 SAFH 1010 463 0 0.3 4.1E+04 38 1.6E+04 89.5171 473 SAFH 1011 464 0 0.3 4.2E+04 36 1.4E+03 82.5747 474 SAFH 1015 465 0 0.3 4.1E+04 38 2.8E+02 92.5755 475 SAFH 1023 466 0 0.3 4E+04 38 5.1E+02 92.7594 476 SAFH 1026 467 0 0.3 4E+04 38 2.1E+02 92.5755 477 SAFH 1037 468 0 0.3 4.1E+04 31 1.4E+03 67.4867 478 SAFH 1040 469 0 0.3 3.2E+04 38 3.5E+02 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 1044 470 0 0.3 3.5E+04 34 9.4E+02 75.0828 480 SAFH 1046 471 0 0.3 3.8E+04 37 2.7E+06 85.7504 481 SAFH 1047 472 0 0.3 3.9E+04 36 3E+02 85.4929 482 SAFH 1051 473 0 0.3 3.9E+04 39 6.1E+03 92.5755 483 SAFH 1053 474 0 0.3 4E+04 38 1.8E+03 92.5755 484 SAFH 1054 475 0 0.3 3.7E+04 38 1.3E+02 91.4855 485 SAFH 1063 476 0 0.3 3.6E+04 39 5.2E+03 92.5755 486 SAFH 1064 477 0 0.3 3.3E+04 29 8E+02 67.315 487 SAFH 1067 478 0 0.3 2.4E+04 39 2.1E+03 92.5755 488 SAFH 1068 479 0 0.3 3.9E+04 38 1.4E+03 86.3795 489 SAFH 1070 480 0 0.3 4E+04 38 5.9E+02 89.5171 490 SAFH 1072 481 0 0.3 4E+04 34 1.4E+06 78.1902 491 SAFH 1073 482 0 0.3 4.1E+04 38 1E+02 92.5755 492 SAFH 1083 483 0 0.3 3.7E+04 37 98 89.5171 493 SAFH 1084 484 0 0.3 3.5E+04 38 63 89.5171 494 SAFH 1092 485 0 0.3 3.4E+04 37 72 89.5171 495 SAFH 1096 486 0 0.3 3.5E+04 37 1.3E+03 89.5171 496 SAFH 1097 487 0 0.3 3.6E+04 38 30 89.5171 497 SAFH 1108 488 0 0.3 3.3E+04 38 37 92.5755 498 SAFH 1115 489 0 0.3 3.4E+04 38 31 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 1118 490 0 0.3 3.5E+04 37 2.6E+02 89.5171 500 SAFH 1121 491 0 0.3 3.7E+04 33 1.2E+03 73.321 501 SAFH 1123 492 0 0.3 3.5E+04 38 5.4E+02 89.5171 502 SAFH 1127 493 0 0.3 3.5E+04 36 3.7E+02 83.2821 503 SAFH 1129 494 0 0.3 3.7E+04 38 1.3E+02 91.4855 504 SAFH 1130 495 0 0.3 3.5E+04 37 9.4E+02 89.5171 505 SAFH 1131 496 0 0.3 3.1E+04 37 2.8E+02 89.5171 506 SAFH 1133 497 0 0.3 1.6E+04 37 37 89.5171 507 SAFH 1136 498 0 0.3 3.6E+04 35 9.4E+02 78.5559 508 SAFH 1137 499 0 0.3 3.5E+04 38 48 92.5755 509 SAFH 1138 500 0 0.3 3.3E+04 37 31 89.5171 510 SAFH 1140 501 0 0.3 2.2E+04 37 1.5E+02 89.5171 511 SAFH 1144 502 0 0.3 3.5E+04 37 20 89.5171 512 SAFH 1153 503 0 0.3 3.3E+04 37 14 89.5171 513 SAFH 1160 504 0 0.3 3.5E+04 39 1.2E+02 92.7594 514 SAFH 1162 505 0 0.3 3.7E+04 37 2.6E+02 89.5171 515 SAFH 1164 506 0 0.3 3.2E+04 29 8.9E+02 63.0773 516 SAFH 1166 507 0 0.3 3.2E+04 36 1.5E+02 85.4577 517 SAFH 1171 508 0 0.3 3.6E+04 38 4.8E+02 89.5171 518 SAFH 1172 509 0 0.3 6.1 38 15 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 1178 510 0 0.3 3.5E+04 37 64 89.5171 520 SAFH 1181 511 0 0.3 3.5E+04 38 2.3E+02 92.5755 521 SAFH 1182 512 0 0.3 3.3E+04 37 8.6 89.5171 522 SAFH 1189 513 0 0.3 3.6E+04 37 82 89.5171 523 SAFH 1192 514 0 0.3 2.1E+04 35 2.6E+02 80.555 524 SAFH 1193 515 0 0.3 3E+04 29 2.8E+02 64.459 525 SAFH 1198 516 0 0.3 3.7E+04 36 73 85.0745 526 SAFH 1200 517 0 0.3 3.6E+04 38 4.2E+02 89.5171 527 SAFH 1203 518 0 0.3 2.9E+04 38 8.2E+02 89.5171 528 SAFH 1205 519 0 0.3 3.6E+04 37 29 89.5171 529 SAFH 1211 520 0 0.3 3.5E+04 37 1.1E+02 85.5711 530 SAFH 1213 521 0 0.3 3.4E+04 38 1.6E+02 89.5171 531 SAFH 1214 522 0 0.3 3.4E+04 37 41 88.4661 532 SAFH 1218 523 0 0.3 3.4E+04 39 18 92.5755 533 SAFH 1221 524 0 0.3 3.8E+04 35 2E+03 77.1839 534 SAFH 1222 525 0 0.3 2.2E+04 35 1E+02 77.1839 535 SAFH 1225 526 0 0.3 2.7E+04 32 2.1E+03 70.3703 536 SAFH 1226 527 0 0.3 2.8E+04 37 1.2E+02 87.0429 537 SAFH 1229 528 0 0.3 3.6E+04 38 2.6E+03 89.5171 538 SAFH 1231 529 0 0.3 3E+04 31 8E+02 72.8213 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 1232 530 0 0.3 3.9E+04 37 20 89.5171 540 SAFH 1234 531 0 0.3 3.6E+04 37 2.1E+02 85.1257 541 SAFH 1235 532 0 0.3 3.6E+04 38 50 92.7594 542 SAFH 1236 533 0 0.3 3.5E+04 38 2E+02 89.5171 543 SAFH 1239 534 0 0.3 2.9E+04 29 4.8E+02 64.3039 544 SAFH 1242 535 0 0.3 3.1E+04 35 3.2E+04 77.1251 545 SAFH 1243 536 0 0.3 3.2E+04 37 4.2E+02 89.5171 546 SAFH 1245 537 0 0.3 3.6E+04 34 3.2E+02 75.2155 547 SAFH 1246 538 0 0.3 3E+04 29 1E+03 63.732 548 SAFH 1247 539 0 0.3 3.8E+04 38 20 92.7594 549 SAFH 1250 540 0 0.3 3.6E+04 39 8.5E+02 91.4855 550 SAFH 1251 541 0 0.3 2.1E+04 39 1.7E+02 91.4855 551 SAFH 1254 542 0 0.3 3.6E+04 38 44 89.5171 552 SAFH 1258 543 0 0.3 3.2E+04 39 5.8E+02 92.5755 553 SAFH 1259 544 0 0.3 3.4E+04 33 3.2E+02 74.9335 554 SAFH 1260 545 0 0.3 3.6E+04 38 27 92.7594 555 SAFH 1261 546 0 0.3 3.4E+04 38 53 92.5755 556 SAFH 1262 547 0 0.3 3.5E+04 34 54 78.056 557 SAFH 1264 548 0 0.3 3.6E+04 37 6.1 89.5171 558 SAFH 1277 549 0 0.3 3.4E+04 38 15 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 1283 550 0 0.3 3E+04 38 2.8E+02 92.5755 560 SAFH 1284 551 0 0.3 6.7E+03 38 1.2E+02 92.5755 561 SAFH 1288 552 0 0.3 3.6E+04 33 34 75.0473 562 SAFH 1300 553 0 0.3 3.3E+04 38 78 89.5171 563 SAFH 1304 554 0 0.3 2.7E+04 38 4.4E+02 89.5171 564 SAFH 1305 555 0 0.3 3.5E+04 37 38 89.0172 565 SAFH 1307 556 0 0.3 3.5E+04 38 6.9E+02 86.543 566 SAFH 1308 557 0 0.3 3.1E+03 38 45 86.543 567 SAFH 1309 558 0 0.3 3.3E+04 37 61 89.5171 568 SAFH 1311 559 0 0.3 2.2E+04 32 4E+02 74.0509 569 SAFH 1312 560 0 0.3 1.2E+03 32 1.2E+02 74.0509 570 SAFH 1315 561 0 0.3 2.4E+04 37 3.4E+02 83.782 571 SAFH 1316 562 0 0.3 3.6E+04 37 7.1 89.5171 572 SAFH 1323 563 0 0.3 3.4E+04 29 1.9E+02 63.732 573 SAFH 1326 564 0 0.3 2.4E+04 37 1.2E+02 85.5404 574 SAFH 1329 565 0 0.3 3.5E+04 38 5.9 92.5755 575 SAFH 1334 566 0 0.3 3.3E+04 29 1.6E+02 63.8749 576 SAFH 1335 567 0 0.3 2.6E+04 34 1.5E+02 78.1798 577 SAFH 1337 568 0 0.3 2.1E+04 29 5.3E+02 63.1479 578 SAFH 1338 569 0 0.3 1.3E+03 29 1.7E+02 63.1479 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 1340 570 0 0.3 3.6E+04 37 43 89.5171 580 SAFH 1341 571 0 0.3 3.3E+04 38 6.5 92.5755 581 SAFH 1343 572 0 0.3 3.3E+04 38 4.8 92.5755 582 SAFH 1351 573 0 0.3 3.7E+04 34 1.1E+02 77.1839 583 SAFH 1352 574 0 0.3 2.7E+04 35 38 77.1839 584 SAFH 1355 575 0 0.3 3.3E+04 38 11 92.5755 585 SAFH 1356 576 0 0.3 3.4E+04 37 40 88.7699 586 SAFH 1357 577 0 0.3 3.6E+04 35 64 81.6143 587 SAFH 1358 578 0 0.3 3.5E+04 34 38 76.5538 588 SAFH 1361 579 0 0.3 3E+04 38 1.2E+02 89.5171 589 SAFH 1363 580 0 0.3 3.3E+04 34 1.1E+02 75.2155 590 SAFH 1364 581 0 0.3 3.5E+04 38 16 92.7594 591 SAFH 1369 582 0 0.3 3.7E+04 29 2.8E+02 63.2907 592 SAFH 1371 583 0 0.3 3.3E+04 37 29 89.5171 593 SAFH 1374 584 0 0.3 3.4E+04 37 10 89.5171 594 SAFH 1377 585 0 0.3 4E+04 30 1.2E+03 68.8658 595 SAFH 1378 586 0 0.3 9.1E+02 30 4.4E+02 68.8658 596 SAFH 1379 587 0 0.3 3.7E+04 36 16 87.915 597 SAFH 1383 588 0 0.3 3.6E+04 39 9.9E+02 92.5755 598 SAFH 1384 589 0 0.3 6E+03 39 2E+02 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 1385 590 0 0.3 2.8E+03 39 69 92.5755 600 SAFH 1388 591 0 0.3 3.4E+04 36 47 81.8834 601 SAFG 1390 592 0 0.3 3.2E+04 0 5.2E-09 64.9325 601 FOUND SOLUTION: 64.9325 (NLP) in 520 sec. 602 SAFH 1390 592 0 0.3 5.5E+02 29 58 64.9325 603 SAFH 1393 593 0 0.3 3.4E+04 37 6.5 89.5171 604 SAFH 1397 594 0 0.3 3.5E+04 33 2.7E+02 71.7269 605 SAFH 1399 595 0 0.3 3.2E+04 37 61 89.5171 606 SAFH 1404 596 0 0.3 3.5E+04 37 6.2 89.5171 607 SAFH 1408 597 0 0.3 3.1E+04 37 6.9 89.5171 608 SAFH 1410 598 0 0.3 3.6E+04 29 1.4E+02 65.3138 609 SAFH 1412 599 0 0.3 3.9E+04 39 27 92.5755 610 SAFH 1413 600 0 0.3 3.4E+04 37 11 89.5171 611 SAFH 1416 601 0 0.3 3.4E+04 38 28 92.5755 612 SAFG 1417 602 0 0.3 3.1E+04 0 5.6E-09 63.8749 612 FOUND SOLUTION: 63.8749 (NLP) in 548 sec. 613 SAFH 1417 602 0 0.3 6.9E+02 29 51 63.8749 614 SAFH 1423 603 0 0.3 3.5E+04 37 17 89.5171 615 SAFH 1425 604 0 0.3 3.4E+04 37 21 86.825 616 SAFG 1428 605 0 0.3 3.3E+04 0 2.4E-09 63.0051 616 FOUND SOLUTION: 63.0051 (NLP) in 559 sec. 617 SAFH 1428 605 0 0.3 3.2E+02 29 21 63.0051 618 SAFH 1433 606 0 0.3 3.6E+04 37 6.6 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 1434 607 0 0.3 3.1E+04 37 4.8 89.5171 620 SAFH 1439 608 0 0.3 3.4E+04 36 12 85.8095 621 SAFH 1443 609 0 0.3 3.5E+04 29 44 63.8749 622 SAFH 1446 610 0 0.3 3.6E+04 38 3 92.5755 623 SAFH 1457 611 0 0.3 3.5E+04 37 23 88.3681 624 SAFH 1459 612 0 0.3 3.5E+04 37 4.7 89.5171 625 SAFH 1462 613 0 0.3 3.4E+04 39 4.6E+02 92.5755 626 SAFH 1463 614 0 0.3 3.5E+04 35 10 80.9418 627 SAFH 1469 615 0 0.3 3.5E+04 37 24 89.5171 628 SAFH 1473 616 0 0.3 3.5E+04 36 27 89.5171 629 SAFH 1474 617 0 0.3 3.3E+04 37 4.6 89.5171 630 SAFH 1477 618 0 0.3 3.4E+04 38 10 92.5755 631 SAFH 1480 619 0 0.3 1.1E+04 37 9.5 89.5171 632 SAFH 1482 620 0 0.3 3.4E+04 36 50 81.2379 633 SAFH 1486 621 0 0.3 2.8E+04 34 30 78.5559 634 SAFH 1487 622 0 0.3 3E+04 29 1E+02 64.4314 635 SAFH 1488 623 0 0.3 3.1E+04 36 43 81.6143 636 SAFH 1493 624 0 0.3 3.1E+04 35 6.9E+02 81.6077 637 SAFH 1494 625 0 0.3 3E+04 37 39 87.5399 638 SAFH 1496 626 0 0.3 3.2E+04 29 29 63.1479 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 1502 627 0 0.3 3.6E+04 37 7.2 89.5171 640 SAFH 1505 628 0 0.3 3.4E+04 38 66 92.5755 641 SAFH 1506 629 0 0.3 4.1E+03 38 19 92.5755 642 SAFH 1507 630 0 0.3 3.7E+04 35 1E+02 81.3323 643 SAFH 1509 631 0 0.3 3.6E+04 38 4.2 92.5755 644 SAFH 1514 632 0 0.3 3.4E+04 38 10 91.4855 645 SAFH 1515 633 0 0.3 3.4E+04 38 11 92.5755 646 SAFH 1518 634 0 0.3 3.5E+04 29 22 64.2767 647 SAFH 1523 635 0 0.3 3.3E+04 36 13 84.871 648 SAFH 1526 636 0 0.3 3.5E+04 38 3.9 92.5755 649 SAFH 1534 637 0 0.3 3.4E+04 38 9.8 91.6572 650 SAFH 1535 638 0 0.3 3.7E+04 28 13 63.0051 651 SAFH 1540 639 0 0.3 3.1E+04 35 34 81.5796 652 SAFH 1544 640 0 0.3 3E+04 38 62 89.5171 653 SAFH 1546 641 0 0.3 2.9E+04 35 1E+02 77.9815 654 SAFH 1547 642 0 0.3 3.2E+04 38 1.8E+02 89.5171 655 SAFH 1548 643 0 0.3 3.1E+04 33 31 72.2709 656 SAFH 1549 644 0 0.3 3E+04 37 59 89.5171 657 SAFH 1552 645 0 0.3 3.4E+04 36 2.8 89.5171 658 SAFH 1559 646 0 0.3 3.5E+04 35 50 78.5712 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 1561 647 0 0.3 3.5E+04 38 14 91.4855 660 SAFH 1562 648 0 0.3 3.4E+04 38 16 92.5755 661 SAFH 1563 649 0 0.3 3.2E+04 37 7.6 89.5171 662 SAFH 1564 650 0 0.3 3.5E+04 36 11 83.9659 663 SAFH 1566 651 0 0.3 3.3E+04 36 32 84.7474 664 SAFH 1567 652 0 0.3 2.5E+04 36 55 84.7474 665 SAFH 1568 653 0 0.3 3.7E+04 37 4.3 89.5171 666 SAFH 1574 654 0 0.3 3.2E+04 28 14 64.459 667 SAFH 1579 655 0 0.3 2.5E+04 29 37 63.8749 668 SAFH 1580 656 0 0.3 8.3E+02 29 15 63.8749 669 SAFH 1586 657 0 0.3 3.2E+04 36 29 81.121 670 SAFH 1588 658 0 0.3 3.5E+04 36 3.8 81.7982 671 SAFH 1597 659 0 0.3 3.1E+04 31 35 71.8948 672 SAFH 1599 660 0 0.3 3.6E+04 38 20 92.7594 673 SAFH 1601 661 0 0.3 1.5E+03 38 13 92.7594 674 SAFH 1605 662 0 0.3 3.8E+04 38 11 88.3168 675 SAFH 1606 663 0 0.3 3.4E+04 37 8 89.5171 676 SAFH 1608 664 0 0.3 3.3E+04 38 25 92.5755 677 SAFH 1611 665 0 0.3 3.5E+04 36 2.5 85.3565 678 SAFH 1620 666 0 0.3 3.3E+04 34 18 78.4578 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 1621 667 0 0.3 3.5E+04 38 2.1 91.4855 680 SAFH 1630 668 0 0.3 3.5E+04 39 3.1E+03 92.7594 681 SAFH 1631 669 0 0.3 3.3E+04 29 16 64.459 682 SAFH 1634 670 0 0.3 3.2E+04 35 6.3 81.6287 683 SAFH 1635 671 0 0.3 3E+04 34 2.4 78.5559 684 SAFH 1640 672 0 0.3 3.1E+04 38 61 88.6132 685 SAFH 1643 673 0 0.3 2.8E+04 34 13 78.5857 686 SAFH 1648 674 0 0.3 2.4E+04 29 11 63.1479 687 SAFH 1653 675 0 0.3 2.2E+04 31 21 72.0387 688 SAFH 1654 676 0 0.3 2.8E+04 39 1.6E+02 92.7594 689 SAFH 1656 677 0 0.3 2.7E+04 28 19 65.8108 690 SAFH 1657 678 0 0.3 3.2E+04 36 2.3 85.3565 691 SAFH 1664 679 0 0.3 3.4E+04 36 4.7 84.5746 692 SAFH 1670 680 0 0.3 3.4E+04 36 10 84.8129 693 SAFH 1674 681 0 0.3 3.3E+04 36 4.3E+02 81.7982 694 SAFH 1675 682 0 0.3 2.8E+04 35 4.1 81.7982 695 SAFH 1677 683 0 0.3 3.4E+04 37 12 89.5171 696 SAFH 1680 684 0 0.3 3.4E+04 34 19 79.2554 697 SAFH 1681 685 0 0.3 2.9E+04 34 4.5 77.8721 698 SAFH 1686 686 0 0.3 3.3E+04 35 16 83.9812 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 1687 687 0 0.3 3.4E+04 29 12 63.8749 700 SAFH 1694 688 0 0.3 3E+04 37 3.7 89.5171 701 SAFH 1698 689 0 0.3 3.4E+04 38 7.4 92.7594 702 SAFH 1699 690 0 0.3 3.6E+04 35 24 81.0707 703 SAFH 1701 691 0 0.3 2.9E+04 36 3E+02 81.6296 704 SAFH 1702 692 0 0.3 1.2E+04 36 32 81.6296 705 SAFH 1703 693 0 0.3 3.1E+04 29 83 64.1101 706 SAFH 1705 694 0 0.3 3.5E+04 36 11 81.3323 707 SAFH 1706 695 0 0.3 3.2E+04 29 78 64.6943 708 SAFH 1707 696 0 0.3 5.7E+02 29 43 64.6943 709 SAFH 1708 697 0 0.3 3.8E+02 29 24 64.6943 710 SAFH 1710 698 0 0.3 9.4E+02 29 8.5 64.6943 711 SAFH 1718 699 0 0.3 2.4E+04 37 21 85.2584 712 SAFH 1722 700 0 0.3 3.3E+04 34 16 78.5703 713 SAFH 1725 701 0 0.3 3.3E+04 38 7.5 91.1574 714 SAFH 1728 702 0 0.3 3.5E+04 38 75 88.0552 715 SAFH 1729 703 0 0.3 3.6E+04 37 1.7 89.5171 716 SAFH 1739 704 0 0.3 5.8E+03 37 2.4 92.5755 717 SAFH 1742 705 0 0.3 3.8E+03 37 4.3 89.5171 718 SAFH 1743 706 0 0.3 3.3E+04 34 3.5 78.5703 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 1747 707 0 0.3 3.3E+04 36 5.2 83.7666 720 SAFH 1750 708 0 0.3 3.3E+04 33 6.4 76.0275 721 SAFH 1751 709 0 0.3 3.2E+04 28 19 64.5514 722 SAFH 1752 710 0 0.3 1.5E+04 29 7.2 65.3925 723 SAFH 1759 711 0 0.3 2E+04 29 22 65.5479 724 SAFH 1760 712 0 0.3 3.2E+04 37 2.1 87.915 725 SAFH 1767 713 0 0.3 3.4E+04 35 3.7E+02 79.7697 726 SAFH 1768 714 0 0.3 2.7E+04 34 2.5 79.7697 727 SAFH 1772 715 0 0.3 3.6E+04 38 2.5 92.5755 728 SAFH 1777 716 0 0.3 3.5E+04 35 6.6 80.7783 729 SAFH 1781 717 0 0.3 3.4E+04 36 5.2 88.3168 730 SAFH 1783 718 0 0.3 3.7E+04 29 24 64.1101 731 SAFH 1786 719 0 0.3 3E+04 35 3.5 82.1299 732 SAFH 1789 720 0 0.3 3.1E+04 38 2.7 88.6095 733 SAFH 1792 721 0 0.3 3.4E+04 37 1.5 89.5171 734 SAFH 1801 722 0 0.3 3.4E+04 38 5.5 92.7594 735 SAFH 1804 723 0 0.3 3.5E+04 36 6.2 84.5746 736 SAFH 1806 724 0 0.3 3.2E+04 29 88 65.9536 737 SAFH 1807 725 0 0.3 1.9E+04 29 8.8 64.2767 738 SAFH 1810 726 0 0.3 3.1E+04 34 5 79.0715 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 1811 727 0 0.3 2.9E+04 29 57 65.2425 740 SAFH 1813 728 0 0.3 2.4E+04 37 21 84.8566 741 SAFH 1815 729 0 0.3 2.5E+04 39 28 92.5755 742 SAFH 1816 730 0 0.3 2.6E+04 37 6 88.7981 743 SAFH 1819 731 0 0.3 2.3E+04 36 30 85.6256 744 SAFH 1820 732 0 0.3 3E+04 37 15 84.872 745 SAFH 1825 733 0 0.3 2.9E+04 29 8.6 63.8749 746 SAFH 1827 734 0 0.3 3.6E+04 37 1.3 89.5171 747 SAFH 1834 735 0 0.3 3.2E+04 37 3.7 89.5171 748 SAFH 1836 736 0 0.3 3.5E+04 34 23 78.2739 749 SAFH 1838 737 0 0.3 3.5E+04 38 2 92.5755 750 SAFH 1846 738 0 0.3 3.4E+04 27 8.4 63.8245 751 SAFH 1851 739 0 0.3 3.3E+04 38 1.2 92.5755 752 SAFH 1862 740 0 0.3 3.3E+04 38 1.9 91.4855 753 SAFH 1864 741 0 0.3 3.3E+04 37 9.3 89.5171 754 SAFH 1867 742 0 0.3 3.3E+04 37 1.6 89.5171 755 SAFH 1870 743 0 0.3 3.5E+04 36 6.4 84.871 756 SAFH 1871 744 0 0.3 3.3E+04 29 5.2 63.8749 757 SAFH 1878 745 0 0.3 1.4E+04 30 9.4 65.0359 758 SAFH 1880 746 0 0.3 3.3E+04 38 2 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 1883 747 0 0.3 3.3E+04 29 25 64.0384 760 SAFH 1885 748 0 0.3 3E+04 32 3E+03 71.6301 761 SAFH 1886 749 0 0.3 2.8E+04 34 16 74.829 762 SAFH 1888 750 0 0.3 2.7E+04 38 66 92.5755 763 SAFH 1889 751 0 0.3 3.5E+04 37 1.2 89.5171 764 SAFH 1900 752 0 0.3 3.4E+04 36 2.8 88.3168 765 SAFH 1903 753 0 0.3 3.4E+04 27 19 63.0051 766 SAFH 1904 754 0 0.3 1.9E+03 27 5.8 63.0051 767 SAFH 1909 755 0 0.3 3.4E+04 38 1.2 91.4855 768 SAFH 1918 756 0 0.3 3.4E+04 27 25 63.0051 769 SAFH 1919 757 0 0.3 3.2E+02 27 5.3 63.0051 770 SAFH 1922 758 0 0.3 2.6E+04 29 7.5 64.6943 771 SAFH 1924 759 0 0.3 2.9E+04 38 23 89.5171 772 SAFH 1925 760 0 0.3 3.3E+02 38 12 89.5171 773 SAFH 1926 761 0 0.3 8.1E+02 37 8.5 89.5171 774 SAFH 1928 762 0 0.3 2.6E+04 29 84 63.8749 775 SAFH 1929 763 0 0.3 3.6E+04 38 2.2 86.3405 776 SAFH 1932 764 0 0.3 3.1E+04 33 2.2 74.8137 777 SAFH 1933 765 0 0.3 3.7E+02 33 1.3 74.8137 778 SAFH 1937 766 0 0.3 2.9E+04 26 5.2 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 1939 767 0 0.3 2.8E+04 38 2.8 92.5755 780 SAFH 1941 768 0 0.3 3.2E+04 37 1.1 89.5171 781 SAFH 1950 769 0 0.3 3.8E+04 27 12 66.3886 782 SAFH 1951 770 0 0.3 3.4E+04 35 2.3 88.7981 783 SAFH 1953 771 0 0.3 3.4E+04 34 1.3 81.6143 784 SAFH 1957 772 0 0.3 3.5E+04 38 3.1 92.7594 785 SAFH 1961 773 0 0.3 3.1E+04 29 6.3 66.6806 786 SAFH 1966 774 0 0.3 3E+04 32 8.5 72.8496 787 SAFH 1969 775 0 0.3 2.8E+04 29 12 64.6943 788 SAFH 1971 776 0 0.3 3.4E+04 35 1.5 84.871 789 SAFH 1979 777 0 0.3 3.5E+04 27 24 64.6943 790 SAFH 1980 778 0 0.3 1.4E+02 27 3.2 64.6943 791 SAFH 1984 779 0 0.3 2.7E+04 34 3.9E+02 75.6904 792 SAFH 1985 780 0 0.3 3.4E+04 33 3.2 77.8721 793 SAFH 1986 781 0 0.3 3.2E+04 33 2.5 78.2739 794 SAFH 1988 782 0 0.3 3.3E+04 38 29 92.5755 795 SAFH 1989 783 0 0.3 3.5E+04 28 11 66.0964 796 SAFH 1991 784 0 0.3 3.3E+04 32 8.2 78.1104 797 SAFH 1993 785 0 0.3 3.2E+04 29 7.9 63.8749 798 SAFH 1994 786 0 0.3 3.5E+04 39 1.4 92.5755 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 1999 787 0 0.3 3.6E+04 28 4.4 65.2425 800 SAFH 2002 788 0 0.3 3E+04 33 2.6E+02 75.2433 801 SAFH 2003 789 0 0.2 3.2E+04 31 23 69.3011 802 SAFH 2006 790 0 0.2 3E+04 29 74 67.6493 803 SAFH 2007 791 0 0.2 7.7E+02 29 17 67.6493 804 SAFH 2008 792 0 0.2 3E+02 29 4.5 67.6493 805 SAFH 2011 793 0 0.2 2.3E+04 32 4.5 75.2308 806 SAFH 2012 794 0 0.2 6.9E+02 32 2.2 75.2308 807 SAFH 2021 795 0 0.2 3.4E+04 35 1.1 85.0745 808 SAFH 2027 796 0 0.2 3.4E+04 38 2.3 92.7594 809 SAFH 2028 797 0 0.2 1E+03 38 0.98 92.7594 810 SAFH 2041 798 0 0.2 3.3E+04 33 1.9 78.5559 811 SAFH 2045 799 0 0.2 3.2E+04 28 5.5 66.285 812 SAFH 2047 800 0 0.2 9.6E+03 28 4.8 66.285 813 SAFH 2050 801 0 0.2 3.5E+04 38 0.95 92.7594 814 SAFH 2055 802 0 0.2 3.6E+04 35 23 84.872 815 SAFH 2057 803 0 0.2 1.9E+03 35 8.6 84.872 816 SAFH 2058 804 0 0.2 1.5E+03 33 3.5 84.872 817 SAFH 2061 805 0 0.2 8.5E+02 34 1.4 84.872 818 SAFH 2067 806 0 0.2 3.2E+04 32 5.4 79.3553 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 2070 807 0 0.2 3.3E+04 34 1.8 84.871 820 SAFH 2074 808 0 0.2 3.3E+04 37 2.6 85.2238 821 SAFH 2076 809 0 0.2 2.6E+04 29 66 69.1048 822 SAFH 2077 810 0 0.2 3E+04 38 13 89.5171 823 SAFH 2081 811 0 0.2 3.5E+04 38 1.4 92.5755 824 SAFH 2084 812 0 0.2 3.4E+04 36 2.5 85.735 825 SAFH 2087 813 0 0.2 3.3E+04 38 18 92.5755 826 SAFH 2088 814 0 0.2 3.4E+04 33 1.7 75.7311 827 SAFH 2092 815 0 0.2 3.4E+04 33 5.2 75.1318 828 SAFH 2093 816 0 0.2 3.2E+04 36 7.5 86.2814 829 SAFH 2095 817 0 0.2 3.7E+04 38 4.8 92.5755 830 SAFH 2097 818 0 0.2 3.6E+04 39 23 92.7594 831 SAFH 2098 819 0 0.2 3.2E+04 32 1.5 73.3997 832 SAFH 2102 820 0 0.2 2.8E+04 28 13 68.7214 833 SAFH 2104 821 0 0.2 1.5E+04 30 5.6 73.5812 834 SAFH 2106 822 0 0.2 3.4E+04 35 0.82 85.5404 835 SAFH 2108 823 0 0.2 3.5E+04 38 2.3 92.7594 836 SAFH 2111 824 0 0.2 3.4E+04 38 4.2 91.4855 837 SAFH 2112 825 0 0.2 3.3E+04 38 1 92.7594 838 SAFH 2118 826 0 0.2 3.3E+04 37 1.2 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 2120 827 0 0.2 3.5E+04 28 3.9 63.8749 840 SAFH 2123 828 0 0.2 1.5E+04 29 2.5 64.459 841 SAFH 2134 829 0 0.2 1.1E+04 27 2.4 63.0051 842 SAFH 2141 830 0 0.2 3.1E+04 38 1.9 92.7594 843 SAFH 2146 831 0 0.2 3.2E+04 26 5.5 63.0051 844 SAFH 2148 832 0 0.2 1.9E+04 26 5.2 64.6736 845 SAFH 2152 833 0 0.2 3.3E+04 38 1E+02 91.9612 846 SAFH 2154 834 0 0.2 3.2E+04 29 1.1E+03 71.7774 847 SAFH 2155 835 0 0.2 2.9E+04 33 5.8 75.3293 848 SAFH 2161 836 0 0.2 1.9E+04 31 2.7 73.2018 849 SAFH 2162 837 0 0.2 3.4E+04 34 1.6 81.3323 850 SAFH 2163 838 0 0.2 3.5E+04 37 2.5 89.5171 851 SAFH 2164 839 0 0.2 3.5E+04 33 0.62 81.8126 852 SAFH 2173 840 0 0.2 3.4E+04 37 0.69 89.5171 853 SAFH 2182 841 0 0.2 3.6E+04 36 10 88.1533 854 SAFH 2185 842 0 0.2 3.5E+04 35 1.9 85.3709 855 SAFH 2186 843 0 0.2 3.3E+04 29 2.6 63.8749 856 SAFH 2195 844 0 0.2 2.4E+04 31 1E+02 69.1404 857 SAFH 2197 845 0 0.2 2.5E+04 35 6.3 79.9162 858 SAFH 2204 846 0 0.2 2.1E+04 28 3.3 63.8749 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 2206 847 0 0.2 1.7E+04 28 6.9 66.8731 860 SAFH 2208 848 0 0.2 1.8E+04 29 3.8 65.2425 861 SAFH 2211 849 0 0.2 3.7E+04 36 1.3 91.5591 862 SAFH 2214 850 0 0.2 3.8E+04 29 8.3 65.0359 863 SAFH 2216 851 0 0.2 1.8E+04 28 2.1 63.1479 864 SAFH 2220 852 0 0.2 3.4E+04 35 3 86.1412 865 SAFH 2222 853 0 0.2 3.5E+04 33 9 79.0243 866 SAFH 2224 854 0 0.2 2.9E+04 35 3 84.5746 867 SAFH 2225 855 0 0.2 1.3E+04 38 0.98 91.4855 868 SAFH 2230 856 0 0.2 3.2E+04 38 1 92.5755 869 SAFH 2233 857 0 0.2 3.4E+04 33 1.2 81.6143 870 SAFH 2236 858 0 0.2 3.6E+04 30 17 70.9435 871 SAFH 2238 859 0 0.2 3.4E+04 34 1.8 81.6287 872 SAFH 2239 860 0 0.2 3.5E+04 38 1 92.7594 873 SAFH 2241 861 0 0.2 3.8E+04 35 10 83.8469 874 SAFH 2242 862 0 0.2 3.2E+04 31 28 71.0539 875 SAFH 2243 863 0 0.2 2.6E+04 32 1.8 77.1419 876 SAFH 2246 864 0 0.2 3.5E+04 36 2.9 88.0989 877 SAFH 2247 865 0 0.2 1.3E+03 36 1 88.0989 878 SAFH 2253 866 0 0.2 3.4E+04 29 4.2 63.1479 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 2257 867 0 0.2 1.8E+04 28 10 64.9325 880 SAFH 2259 868 0 0.2 3.7E+04 37 4.6 89.5171 881 SAFH 2260 869 0 0.2 3.3E+04 29 4.2E+02 67.0536 882 SAFH 2261 870 0 0.2 2.7E+04 26 1.8E+02 66.2987 883 SAFH 2262 871 0 0.2 3.2E+04 36 1 87.5242 884 SAFH 2265 872 0 0.2 3.3E+04 27 7.5 64.459 885 SAFH 2267 873 0 0.2 3.2E+04 35 0.73 84.8566 886 SAFH 2271 874 0 0.2 3.2E+04 29 3.4 66.6518 887 SAFH 2275 875 0 0.2 3.5E+04 37 7.5 87.915 888 SAFH 2277 876 0 0.2 3.1E+04 34 0.94 81.7982 889 SAFH 2284 877 0 0.2 3.3E+04 37 1.6 89.5171 890 SAFH 2285 878 0 0.2 2E+03 37 0.62 89.5171 891 SAFH 2289 879 0 0.2 3.2E+04 28 3.1 63.0051 892 SAFH 2292 880 0 0.2 2.5E+04 33 76 74.8875 893 SAFH 2294 881 0 0.2 3.6E+04 38 0.73 92.7594 894 SAFH 2299 882 0 0.2 3.5E+04 35 0.52 87.915 895 SAFH 2306 883 0 0.2 3.4E+04 38 0.89 92.7594 896 SAFH 2311 884 0 0.2 3.8E+04 31 5.2 73.6523 897 SAFH 2312 885 0 0.2 1.6E+04 36 0.68 85.2238 898 SAFH 2317 886 0 0.2 3.4E+04 29 4.2 63.8749 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 2319 887 0 0.2 3.6E+04 38 1.3 92.7594 900 SAFH 2321 888 0 0.2 3.6E+04 28 2.5 63.1479 901 SAFH 2323 889 0 0.2 1.9E+04 28 5.6 67.1113 902 SAFH 2324 890 0 0.2 1.4E+03 28 2 67.1113 903 SAFH 2330 891 0 0.2 3.2E+04 35 3.2 80.9305 904 SAFH 2333 892 0 0.2 3.3E+04 29 3.1 67.6737 905 SAFH 2336 893 0 0.2 2.5E+04 30 46 71.233 906 SAFH 2338 894 0 0.2 5.6E+02 30 12 71.233 907 SAFH 2341 895 0 0.2 3.6E+04 37 0.72 91.4855 908 SAFH 2346 896 0 0.2 3.7E+04 27 3.2 64.2767 909 SAFH 2348 897 0 0.2 2.6E+04 31 41 71.4806 910 SAFH 2350 898 0 0.2 3.2E+04 31 7.1 70.8437 911 SAFH 2353 899 0 0.2 3.5E+04 32 34 74.1429 912 SAFH 2354 900 0 0.2 1E+04 32 6.6 73.8609 913 SAFH 2355 901 0 0.2 3E+04 29 2.7 64.459 914 SAFH 2359 902 0 0.2 3.6E+04 36 2 88.0989 915 SAFH 2360 903 0 0.2 3.6E+04 26 1.6 63.0051 916 SAFH 2363 904 0 0.2 3.6E+04 38 0.46 92.5755 917 SAFH 2373 905 0 0.2 3.7E+04 27 5.1 63.1479 918 SAFH 2375 906 0 0.2 3.6E+04 38 1.5 92.7594 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 2376 907 0 0.2 3.6E+04 29 2.1 68.1099 920 SAFH 2377 908 0 0.2 3.2E+04 34 0.59 81.6143 921 SAFH 2383 909 0 0.2 3.2E+04 33 0.65 88.3168 922 SAFH 2391 910 0 0.2 3.5E+04 28 19 66.6155 923 SAFH 2392 911 0 0.2 3.5E+04 33 0.61 88.0989 924 SAFH 2395 912 0 0.2 3.4E+04 28 29 63.9716 925 SAFH 2396 913 0 0.2 3.3E+04 35 0.91 87.3249 926 SAFH 2399 914 0 0.2 3.4E+04 35 5.5 88.1143 927 SAFH 2401 915 0 0.2 3.5E+04 33 0.5 84.872 928 SAFH 2411 916 0 0.2 3.4E+04 38 11 92.5755 929 SAFH 2412 917 0 0.2 3.5E+04 36 3.1 88.0989 930 SAFH 2413 918 0 0.2 3.3E+04 28 2 66.3469 931 SAFH 2415 919 0 0.2 3.2E+04 34 1.6 84.8566 932 SAFH 2416 920 0 0.2 3.2E+04 35 0.53 85.5404 933 SAFH 2422 921 0 0.2 3.2E+04 27 1.8 63.1479 934 SAFH 2427 922 0 0.2 3.5E+04 37 0.43 89.5171 935 SAFH 2433 923 0 0.2 3.4E+04 28 4.6 64.459 936 SAFH 2436 924 0 0.2 8.2E+03 29 1.6 64.459 937 SAFH 2440 925 0 0.2 2.8E+04 36 1.9E+02 83.9068 938 SAFH 2441 926 0 0.2 2.9E+04 26 1.3 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 2445 927 0 0.2 2.6E+04 36 14 80.9305 940 SAFH 2447 928 0 0.2 3.2E+04 33 28 79.898 941 SAFH 2448 929 0 0.2 3.3E+04 31 4.2 72.2709 942 SAFH 2449 930 0 0.2 2.6E+04 28 5.5 63.1479 943 SAFH 2450 931 0 0.2 3.1E+04 38 9.7 92.7594 944 SAFH 2451 932 0 0.2 3.1E+04 29 8.2 63.1479 945 SAFH 2452 933 0 0.2 2.4E+02 29 1.9 63.1479 946 SAFH 2456 934 0 0.2 3.2E+04 31 15 71.813 947 SAFH 2458 935 0 0.2 3.4E+04 28 1.8 65.2425 948 SAFH 2462 936 0 0.2 1.8E+04 30 15 66.9662 949 SAFH 2464 937 0 0.2 1.8E+04 29 0.96 65.2425 950 SAFH 2471 938 0 0.2 2E+04 27 3.7 64.6943 951 SAFH 2473 939 0 0.2 2.7E+04 26 1.2 63.0051 952 SAFH 2479 940 0 0.2 3.7E+04 35 1.1 91.8565 953 SAFH 2483 941 0 0.2 3.7E+04 27 1.6 64.459 954 SAFH 2484 942 0 0.2 2.1E+04 30 3.3 70.545 955 SAFH 2486 943 0 0.2 3.2E+04 36 1.9 84.5746 956 SAFH 2487 944 0 0.2 3.3E+04 35 1.5 84.0049 957 SAFH 2489 945 0 0.2 3.2E+04 35 0.6 88.5988 958 SAFH 2492 946 0 0.2 3.4E+04 37 0.61 91.2812 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 2498 947 0 0.2 3.6E+04 38 7.5 92.5755 960 SAFH 2503 948 0 0.2 3E+04 29 0.78 70.4551 961 SAFH 2509 949 0 0.2 3.1E+04 38 2.9 89.5171 962 SAFH 2515 950 0 0.2 3.1E+04 34 1.7 80.0941 963 SAFH 2518 951 0 0.2 2.9E+04 28 2 63.8749 964 SAFH 2521 952 0 0.2 3.5E+04 38 1.9 91.4855 965 SAFH 2522 953 0 0.2 3.5E+04 27 2.3 63.8164 966 SAFH 2526 954 0 0.2 2.5E+04 25 1.1 63.0051 967 SAFH 2531 955 0 0.2 1.6E+04 28 5 64.5155 968 SAFH 2532 956 0 0.2 2.3E+04 32 9.8 71.6852 969 SAFH 2534 957 0 0.2 3.6E+04 32 8.9 81.8289 970 SAFH 2535 958 0 0.2 2.7E+04 26 2.3 66.6323 971 SAFH 2538 959 0 0.2 2.9E+04 32 1.9 76.8956 972 SAFH 2539 960 0 0.2 3.2E+04 29 16 70.6054 973 SAFH 2541 961 0 0.2 2.7E+04 28 38 63.9716 974 SAFH 2542 962 0 0.2 3.3E+04 37 0.64 89.5171 975 SAFH 2546 963 0 0.2 3.5E+04 27 2.1 64.4467 976 SAFH 2549 964 0 0.2 3.8E+04 37 0.7 92.7594 977 SAFH 2555 965 0 0.2 3.7E+04 27 1.2 66.0896 978 SAFH 2559 966 0 0.2 2.9E+04 31 0.71 75.5132 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 2562 967 0 0.2 3.5E+04 30 6.1 69.1191 980 SAFH 2565 968 0 0.2 3.7E+04 33 0.31 88.1143 981 SAFH 2574 969 0 0.2 3.4E+04 27 4.1 63.0051 982 SAFH 2576 970 0 0.2 3.7E+04 37 0.97 91.4855 983 SAFH 2577 971 0 0.2 3.6E+04 36 5.7 84.3568 984 SAFH 2583 972 0 0.2 3.7E+04 38 0.55 92.7594 985 SAFH 2591 973 0 0.2 1.3E+04 37 1.4 89.5171 986 SAFH 2593 974 0 0.2 3.2E+04 27 1.9 63.0051 987 SAFH 2595 975 0 0.2 3.3E+04 37 1.3 89.5171 988 SAFH 2596 976 0 0.2 3.4E+04 37 3.5 84.8566 989 SAFH 2600 977 0 0.2 2.9E+04 27 1.5 63.8749 990 SAFH 2605 978 0 0.2 2.5E+04 37 35 89.5171 991 SAFH 2606 979 0 0.2 9.6E+03 38 8.2 89.5171 992 SAFH 2607 980 0 0.2 2.5E+04 28 7.1 63.9716 993 SAFH 2608 981 0 0.2 2.9E+04 39 7.3 91.4855 994 SAFH 2612 982 0 0.2 3.7E+04 34 0.7 84.595 995 SAFH 2614 983 0 0.2 3.6E+04 38 1.2 92.5755 996 SAFH 2620 984 0 0.2 3.4E+04 27 0.97 63.8749 997 SAFH 2624 985 0 0.2 2.7E+04 26 3.1 63.0051 998 SAFH 2626 986 0 0.2 2.8E+04 28 9.4 64.4744 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 2627 987 0 0.2 3.6E+04 38 1.9 89.5171 1000 SAFH 2629 988 0 0.2 3.3E+04 38 0.49 92.7594 1001 SAFH 2636 989 0 0.2 3.5E+04 36 0.33 88.0989 1002 SAFH 2646 990 0 0.2 3.4E+04 35 0.4 84.6727 1003 SAFH 2653 991 0 0.2 3.3E+04 29 4.2E+02 66.3094 1004 SAFH 2654 992 0 0.2 2.2E+04 27 2 63.8749 1005 SAFH 2656 993 0 0.2 3.4E+04 32 1.2 71.6599 1006 SAFH 2666 994 0 0.2 3.5E+04 35 0.53 88.7934 1007 SAFH 2670 995 0 0.2 3.4E+04 39 14 92.5755 1008 SAFH 2671 996 0 0.2 4.7E+02 39 4.1 92.5755 1009 SAFH 2675 997 0 0.2 3E+04 29 1.1 63.8749 1010 SAFH 2679 998 0 0.2 2.3E+04 27 2.5 63.8164 1011 SAFH 2682 999 0 0.2 2.9E+04 38 16 89.5171 1012 SAFH 2683 1000 0 0.2 3.6E+04 35 0.44 87.915 1013 SAFH 2690 1001 0 0.2 3.7E+04 26 0.61 63.0051 1014 SAFH 2694 1002 0 0.2 3.4E+04 38 0.52 92.5755 1015 SAFH 2700 1003 0 0.2 3.6E+04 30 6.9 68.1482 1016 SAFH 2701 1004 0 0.2 5.1E+03 30 2.4 68.1482 1017 SAFH 2702 1005 0 0.2 2.2E+04 32 1.5E+02 72.7056 1018 SAFH 2703 1006 0 0.2 2.4E+04 28 4.7 70.3976 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 2704 1007 0 0.2 2E+04 26 1.3 63.0051 1020 SAFH 2707 1008 0 0.2 2.2E+04 30 2.5 66.6806 1021 SAFH 2712 1009 0 0.2 3.2E+04 38 3.9 92.7594 1022 SAFH 2713 1010 0 0.2 1.4E+02 38 1.1 92.7594 1023 SAFH 2717 1011 0 0.2 3.3E+04 38 3.7 89.5171 1024 SAFH 2719 1012 0 0.2 3.1E+04 36 3.8 89.5171 1025 SAFH 2721 1013 0 0.2 3.4E+04 36 76 85.0559 1026 SAFH 2722 1014 0 0.2 2.6E+04 33 1.2 82.3134 1027 SAFH 2724 1015 0 0.2 3E+04 26 1.4 63.0051 1028 SAFH 2728 1016 0 0.2 2.5E+04 32 1.2 72.8649 1029 SAFH 2730 1017 0 0.2 2.9E+04 28 2.8 65.7831 1030 SAFH 2732 1018 0 0.2 2.7E+04 26 4 65.7437 1031 SAFH 2733 1019 0 0.2 3E+04 29 32 70.601 1032 SAFH 2734 1020 0 0.2 3.5E+04 36 0.65 89.5171 1033 SAFH 2743 1021 0 0.2 3.1E+04 33 0.38 76.7821 1034 SAFH 2750 1022 0 0.2 2.9E+04 26 1.7 63.0051 1035 SAFH 2751 1023 0 0.2 6.5 26 0.67 63.0051 1036 SAFH 2753 1024 0 0.2 1.9E+04 27 20 63.0051 1037 SAFH 2754 1025 0 0.2 1.2E+03 27 6.6 63.0051 1038 SAFH 2756 1026 0 0.2 2.4E+04 28 2 69.8318 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1039 SAFH 2758 1027 0 0.2 3.2E+04 38 1.6 92.7594 1040 SAFH 2760 1028 0 0.2 3.5E+04 32 0.48 85.5558 1041 SAFH 2762 1029 0 0.2 3.4E+04 36 2.8 82.886 1042 SAFH 2765 1030 0 0.2 2.9E+04 26 0.64 63.0051 1043 SAFH 2768 1031 0 0.2 2.5E+04 32 53 69.6575 1044 SAFH 2769 1032 0 0.2 2.4E+04 29 2.7 69.0123 1045 SAFH 2771 1033 0 0.2 2.1E+04 26 0.66 64.6356 1046 SAFH 2778 1034 0 0.2 2.5E+04 32 1.1 75.5132 1047 SAFH 2781 1035 0 0.2 2.7E+04 29 4.5 64.6943 1048 SAFH 2782 1036 0 0.2 1.4E+02 29 1.2 64.6943 1049 SAFH 2788 1037 0 0.2 2.6E+04 26 0.68 64.459 1050 SAFH 2794 1038 0 0.2 3.3E+04 31 0.58 88.1143 1051 SAFH 2796 1039 0 0.2 3.2E+04 34 0.6 84.6727 1052 SAFH 2797 1040 0 0.2 3.4E+04 25 1.4 63.0051 1053 SAFH 2798 1041 0 0.2 1.5E+04 28 0.85 66.285 1054 SAFH 2804 1042 0 0.2 3.5E+04 33 0.85 84.1728 1055 SAFH 2806 1043 0 0.2 3.3E+04 32 1.4 75.7515 1056 SAFH 2807 1044 0 0.2 2.9E+04 25 1.1 63.0051 1057 SAFH 2813 1045 0 0.2 3.5E+04 35 0.5 91.6572 1058 SAFH 2815 1046 0 0.2 3.5E+04 26 0.54 65.8108 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1059 SAFH 2823 1047 0 0.2 2.8E+04 27 6.2 64.7366 1060 SAFH 2824 1048 0 0.2 95 27 0.9 64.7366 1061 SAFH 2828 1049 0 0.2 2.2E+04 28 0.6 63.0051 1062 SAFH 2837 1050 0 0.2 2.8E+04 38 1.3 92.7594 1063 SAFH 2842 1051 0 0.2 3.2E+04 39 4.8 92.5755 1064 SAFH 2846 1052 0 0.2 3.4E+04 38 0.83 92.5755 1065 SAFH 2849 1053 0 0.2 3.4E+04 29 1.2 64.459 1066 SAFH 2851 1054 0 0.2 1.3E+04 28 2.9 63.8749 1067 SAFH 2853 1055 0 0.2 1.7E+04 27 1.4 64.6943 1068 SAFH 2856 1056 0 0.2 2.5E+04 37 1.4 89.5171 1069 SAFH 2859 1057 0 0.2 3.4E+04 34 0.44 84.6727 1070 SAFH 2862 1058 0 0.2 3.4E+04 28 4.3 69.8318 1071 SAFH 2863 1059 0 0.2 3.4E+04 30 12 69.6358 1072 SAFH 2866 1060 0 0.2 3.1E+04 28 1.3E+10 65.7195 1073 SAFH 2867 1061 0 0.2 2.8E+04 26 3.2 63.1479 1074 SAFH 2870 1062 0 0.2 3.6E+04 37 0.74 91.4855 1075 SAFH 2872 1063 0 0.2 3.2E+04 27 1.1 63.1479 1076 SAFH 2874 1064 0 0.2 3.8E+04 35 0.42 92.7594 1077 SAFH 2877 1065 0 0.2 3.8E+04 27 0.66 65.8108 1078 SAFH 2879 1066 0 0.2 1.9E+04 26 1.3 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1079 SAFH 2881 1067 0 0.2 3.9E+04 38 0.48 92.7594 1080 SAFH 2886 1068 0 0.2 3.4E+04 31 0.64 77.8721 1081 SAFH 2888 1069 0 0.2 3.2E+04 26 0.48 63.0051 1082 SAFH 2896 1070 0 0.2 4.8E+03 28 1.6 63.0051 1083 SAFH 2898 1071 0 0.2 2.1E+04 28 1.5 69.1048 1084 SAFH 2902 1072 0 0.2 3.4E+04 38 0.58 92.5755 1085 SAFH 2905 1073 0 0.2 3.5E+04 33 0.51 81.2983 1086 SAFH 2908 1074 0 0.2 3.2E+04 29 1.4 63.0051 1087 SAFH 2911 1075 0 0.2 3.9E+03 27 0.43 63.0051 1088 SAFH 2918 1076 0 0.2 1.3E+04 29 0.79 65.8108 1089 SAFH 2927 1077 0 0.2 3E+04 38 2 91.4855 1090 SAFH 2930 1078 0 0.2 3.4E+04 38 0.55 91.4855 1091 SAFH 2936 1079 0 0.2 3.1E+04 30 3 71.0312 1092 SAFH 2937 1080 0 0.2 3.1E+04 35 0.43 84.872 1093 SAFH 2944 1081 0 0.2 3.6E+04 37 41 86.2814 1094 SAFH 2945 1082 0 0.2 3.1E+04 28 12 68.4421 1095 SAFH 2946 1083 0 0.2 2E+02 28 5.7 68.4421 1096 SAFH 2948 1084 0 0.2 2.7E+04 31 1.5 69.6108 1097 SAFH 2953 1085 0 0.2 2.1E+04 27 6.9 63.0051 1098 SAFH 2954 1086 0 0.2 2E+04 31 2.8 72.8111 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1099 SAFH 2958 1087 0 0.2 1.6E+04 27 2.7 63.1479 1100 SAFH 2959 1088 0 0.2 3E+04 32 1.2 78.5716 1101 SAFH 2960 1089 0 0.2 3.3E+04 33 1.4 88.1143 1102 SAFH 2962 1090 0 0.2 3.2E+04 35 0.52 84.1728 1103 SAFH 2966 1091 0 0.2 3.4E+04 28 1.1 68.4365 1104 SAFH 2969 1092 0 0.2 3.7E+04 39 0.96 92.7594 1105 SAFH 2971 1093 0 0.2 4E+04 28 1.1 67.2096 1106 SAFH 2974 1094 0 0.2 2.6E+04 30 8.4 67.6845 1107 SAFH 2975 1095 0 0.2 1.5E+02 30 2.2 67.6845 1108 SAFH 2977 1096 0 0.2 3.6E+04 36 1.8 83.0391 1109 SAFH 2978 1097 0 0.2 3.3E+04 39 53 91.4855 1110 SAFH 2979 1098 0 0.2 2.8E+04 28 16 64.459 1111 SAFH 2980 1099 0 0.2 6.1 28 2.4 64.459 1112 SAFH 2982 1100 0 0.2 3.5E+04 33 0.31 88.0989 1113 SAFH 2987 1101 0 0.2 3.5E+04 29 0.74 67.6237 1114 SAFH 2995 1102 0 0.2 2.7E+04 33 2.8 73.5135 1115 SAFH 2997 1103 0 0.2 3.5E+04 37 1.1 89.5171 1116 SAFH 2998 1104 0 0.2 2.7E+03 37 0.41 89.5171 1117 SAFH 3003 1105 0 0.2 3.5E+04 26 0.53 63.0051 1118 SAFH 3009 1106 0 0.2 3.2E+04 37 0.4 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1119 SAFH 3016 1107 0 0.2 1.3E+04 38 1.9 92.7594 1120 SAFH 3019 1108 0 0.2 1.4E+04 37 0.88 89.5171 1121 SAFH 3024 1109 0 0.2 3.1E+04 28 1.1 65.8108 1122 SAFH 3026 1110 0 0.2 2.3E+04 30 0.39 70.4551 1123 SAFH 3028 1111 0 0.2 3.2E+04 30 1.7 67.7897 1124 SAFH 3031 1112 0 0.2 3.2E+04 38 0.63 88.7934 1125 SAFH 3034 1113 0 0.2 2.9E+04 27 1.1 63.0051 1126 SAFH 3035 1114 0 0.2 1.7E+02 27 0.56 63.0051 1127 SAFH 3037 1115 0 0.2 6.8E+02 26 0.37 63.0051 1128 SAFH 3041 1116 0 0.2 1.8E+04 26 0.97 63.8245 1129 SAFH 3044 1117 0 0.2 3.5E+04 38 0.29 91.3956 1130 SAFH 3051 1118 0 0.2 3.6E+04 29 1.8 63.1479 1131 SAFH 3053 1119 0 0.2 2.1E+04 28 0.76 63.0051 1132 SAFH 3055 1120 0 0.2 2.7E+04 31 0.27 72.2709 1133 SAFH 3062 1121 0 0.2 3E+04 39 2.5 92.5755 1134 SAFH 3066 1122 0 0.2 2.6E+04 29 1.4 63.1479 1135 SAFH 3069 1123 0 0.2 3.4E+04 31 0.5 81.9538 1136 SAFH 3071 1124 0 0.2 2.6E+04 31 2.8 73.8372 1137 SAFH 3072 1125 0 0.2 3.2E+04 35 0.84 85.055 1138 SAFH 3073 1126 0 0.2 3.3E+04 27 0.85 63.1479 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1139 SAFH 3079 1127 0 0.2 3.2E+04 34 0.78 84.872 1140 SAFH 3082 1128 0 0.2 3.3E+04 38 12 92.5755 1141 SAFH 3083 1129 0 0.2 2.9E+04 26 1.3 63.0051 1142 SAFH 3085 1130 0 0.2 2.5E+04 30 1.3 70.8537 1143 SAFH 3087 1131 0 0.2 3.5E+04 33 0.47 85.0405 1144 SAFH 3090 1132 0 0.2 3.4E+04 29 0.96 63.1479 1145 SAFH 3094 1133 0 0.2 2.4E+04 28 0.81 67.2647 1146 SAFH 3096 1134 0 0.2 2.4E+04 30 38 72.0293 1147 SAFH 3097 1135 0 0.2 2.9E+04 28 0.65 63.0051 1148 SAFH 3101 1136 0 0.2 2.2E+04 28 1.6 64.9325 1149 SAFH 3102 1137 0 0.2 73 28 0.53 64.9325 1150 SAFH 3109 1138 0 0.2 2.2E+04 29 0.69 63.0051 1151 SAFH 3111 1139 0 0.2 3.3E+04 38 3.9 92.7594 1152 SAFH 3112 1140 0 0.2 3.3E+04 29 9 63.0051 1153 SAFH 3113 1141 0 0.2 2.8E+04 39 14 92.7594 1154 SAFH 3114 1142 0 0.2 3.1E+04 38 18 92.5755 1155 SAFH 3115 1143 0 0.2 3.4E+04 26 0.4 63.0051 1156 SAFH 3118 1144 0 0.2 2.7E+04 30 2.3 68.9444 1157 SAFH 3122 1145 0 0.2 2.5E+04 29 0.46 66.5378 1158 SAFH 3130 1146 0 0.2 3.5E+04 38 1.4 92.7594 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1159 SAFH 3132 1147 0 0.2 3.6E+04 38 1.7E+02 92.5755 1160 SAFH 3133 1148 0 0.2 3.1E+04 25 2.8E+02 63.8749 1161 SAFH 3134 1149 0 0.2 2.2E+04 28 0.68 67.2647 1162 SAFH 3138 1150 0 0.2 2.8E+04 35 3 81.2702 1163 SAFH 3140 1151 0 0.2 3.1E+04 29 1.1 65.2425 1164 SAFH 3142 1152 0 0.2 1.6E+04 26 0.27 63.0051 1165 SAFH 3148 1153 0 0.2 3.4E+04 34 0.39 79.8549 1166 SAFH 3155 1154 0 0.2 3.2E+04 34 0.47 86.8404 1167 SAFH 3161 1155 0 0.2 3.2E+04 29 2.3 71.4713 1168 SAFH 3162 1156 0 0.2 3E+04 28 0.48 65.9536 1169 SAFH 3167 1157 0 0.2 3.3E+04 36 0.36 86.825 1170 SAFH 3174 1158 0 0.2 3.3E+04 26 0.38 63.0051 1171 SAFH 3180 1159 0 0.2 6E+03 26 1.5 63.0051 1172 SAFH 3181 1160 0 0.2 1.3E+02 26 0.68 63.0051 1173 SAFH 3184 1161 0 0.2 2.5E+04 27 1.4 64.6943 1174 SAFH 3188 1162 0 0.2 3.5E+04 32 0.27 81.6287 1175 SAFH 3193 1163 0 0.2 3E+04 35 1.7 84.8566 1176 SAFH 3194 1164 0 0.2 3.1E+04 27 0.61 69.1048 1177 SAFH 3199 1165 0 0.2 2.2E+04 31 3.4 67.6591 1178 SAFH 3200 1166 0 0.2 2.7E+03 31 3.7 67.6591 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1179 SAFH 3202 1167 0 0.2 3.6E+04 33 0.34 85.0712 1180 SAFH 3207 1168 0 0.2 3E+04 27 1.3 68.2044 1181 SAFH 3208 1169 0 0.2 22 27 0.67 68.2044 1182 SAFH 3212 1170 0 0.2 2.5E+04 28 4 65.0359 1183 SAFH 3216 1171 0 0.2 1.9E+04 26 0.31 63.0051 1184 SAFH 3220 1172 0 0.2 87 26 0.17 63.0051 1185 SAFH 3226 1173 0 0.2 3.6E+04 38 0.35 92.5755 1186 SAFH 3235 1174 0 0.2 3.4E+04 38 0.69 92.5755 1187 SAFH 3236 1175 0 0.2 3.5E+04 27 0.52 64.459 1188 SAFH 3243 1176 0 0.2 1.8E+04 28 0.46 69.8318 1189 SAFH 3248 1177 0 0.2 2.2E+04 28 0.89 63.8749 1190 SAFH 3251 1178 0 0.2 2.7E+04 34 16 81.3137 1191 SAFH 3252 1179 0 0.2 2.5E+04 29 1.3 64.459 1192 SAFH 3254 1180 0 0.2 3.4E+04 33 0.27 88.0989 1193 SAFH 3259 1181 0 0.2 3.6E+04 39 2.7 92.5755 1194 SAFH 3262 1182 0 0.2 6.6E+03 38 0.92 89.5315 1195 SAFH 3268 1183 0 0.2 3.3E+04 32 1.6 72.5091 1196 SAFH 3269 1184 0 0.2 2.9E+04 27 1.8 64.8867 1197 SAFH 3270 1185 0 0.2 2.8E+04 34 0.25 81.8136 1198 SAFH 3280 1186 0 0.2 2.2E+04 37 3.5 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1199 SAFH 3281 1187 0 0.2 2.3E+04 35 1.1 91.8565 1200 SAFH 3282 1188 0 0.2 3.5E+04 38 1.6 89.5171 1201 SAFH 3285 1189 0 0.2 3.4E+04 38 0.35 91.4855 1202 SAFH 3293 1190 0 0.2 3.7E+04 27 0.92 63.8245 1203 SAFH 3296 1191 0 0.2 2.5E+04 39 7 92.5755 1204 SAFH 3297 1192 0 0.2 3.2E+04 38 0.57 92.5755 1205 SAFH 3303 1193 0 0.2 3.6E+04 27 44 63.8749 1206 SAFH 3305 1194 0 0.2 1.8E+04 28 0.59 64.459 1207 SAFH 3306 1195 0 0.2 1.2E+04 28 0.45 64.459 1208 SAFH 3310 1196 0 0.2 1.4E+04 26 0.33 63.0051 1209 SAFH 3314 1197 0 0.2 3.7E+04 37 1.1 91.992 1210 SAFH 3316 1198 0 0.2 3.8E+04 28 2.4 63.1479 1211 SAFH 3317 1199 0 0.2 1.2E+04 29 0.47 63.8749 1212 SAFH 3320 1200 0 0.2 7.4E+03 29 1.5 63.8749 1213 SAFH 3322 1201 0 0.2 3E+02 29 0.5 63.8749 1214 SAFH 3328 1202 0 0.2 1.7E+04 29 1 64.6943 1215 SAFH 3331 1203 0 0.2 2.4E+04 27 0.27 63.0051 1216 SAFH 3337 1204 0 0.2 3.1E+04 38 10 92.7594 1217 SAFH 3338 1205 0 0.2 2.4E+03 38 12 92.7594 1218 SAFH 3339 1206 0 0.2 3.2E+04 26 0.44 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1219 SAFH 3340 1207 0 0.2 1.8E+04 28 2.1 63.8749 1220 SAFH 3342 1208 0 0.2 1.5E+02 28 0.75 63.8749 1221 SAFH 3344 1209 0 0.2 1.4E+02 27 0.35 63.8749 1222 SAFH 3348 1210 0 0.2 3.5E+04 35 5.5 86.0079 1223 SAFH 3349 1211 0 0.2 3.6E+04 29 21 65.9536 1224 SAFH 3350 1212 0 0.2 2.6E+04 36 2.5 81.6143 1225 SAFH 3353 1213 0 0.2 2.6E+04 37 1.4 84.8566 1226 SAFH 3354 1214 0 0.2 2.4E+04 36 5.5 84.8566 1227 SAFH 3356 1215 0 0.2 3.1E+04 34 0.46 78.3219 1228 SAFH 3357 1216 0 0.2 2.4E+02 33 0.23 78.3219 1229 SAFH 3369 1217 0 0.2 2.8E+04 32 0.21 72.2709 1230 SAFH 3375 1218 0 0.2 3.1E+04 29 1.2 67.2628 1231 SAFH 3376 1219 0 0.2 3.7E+04 31 0.56 88.1143 1232 SAFH 3377 1220 0 0.2 2.9E+04 32 0.22 88.1143 1233 SAFH 3385 1221 0 0.2 3.3E+04 29 1.7 64.0384 1234 SAFH 3388 1222 0 0.2 2.1E+04 28 0.67 65.8108 1235 SAFH 3392 1223 0 0.2 3.6E+04 38 0.29 92.7594 1236 SAFH 3397 1224 0 0.2 3.6E+04 35 0.34 91.1574 1237 SAFH 3401 1225 0 0.2 3E+04 33 0.23 91.1574 1238 SAFH 3405 1226 0 0.2 3.3E+04 32 0.99 75.2155 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1239 SAFH 3406 1227 0 0.2 2.7E+04 28 21 69.1553 1240 SAFH 3407 1228 0 0.2 2.1E+04 28 0.2 63.0051 1241 SAFH 3417 1229 0 0.2 2.5E+04 27 1.7 65.3571 1242 SAFH 3418 1230 0 0.2 1.2E+02 27 0.74 65.3571 1243 SAFH 3422 1231 0 0.2 2.3E+04 25 1.6 64.4467 1244 SAFH 3425 1232 0 0.2 1.8E+03 26 0.44 64.4467 1245 SAFH 3429 1233 0 0.2 3.2E+04 32 0.17 84.8566 1246 SAFH 3437 1234 0 0.2 2.9E+04 28 0.46 65.2425 1247 SAFH 3441 1235 0 0.2 1.6E+04 27 0.89 63.1479 1248 SAFH 3442 1236 0 0.2 85 27 0.41 63.1479 1249 SAFH 3448 1237 0 0.2 1.2E+04 26 0.4 63.0051 1250 SAFH 3452 1238 0 0.2 1.3E+04 28 0.39 63.1479 1251 SAFH 3458 1239 0 0.2 7.1E+03 27 10 63.1479 1252 SAFH 3459 1240 0 0.2 2.8E+02 27 2.8 63.1479 1253 SAFH 3461 1241 0 0.2 1.3E+04 26 0.72 63.0051 1254 SAFH 3462 1242 0 0.2 75 26 0.36 63.0051 1255 SAFH 3466 1243 0 0.2 94 26 0.13 63.0051 1256 SAFH 3473 1244 0 0.2 1E+02 26 0.17 63.0051 1257 SAFH 3474 1245 0 0.2 37 26 0.077 63.0051 1258 SAFH 3481 1246 0 0.2 5.8E+03 26 0.39 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1259 SAFH 3483 1247 0 0.2 2.7E+04 31 0.76 71.2475 1260 SAFH 3487 1248 0 0.2 2.9E+04 28 3.3 65.2425 1261 SAFH 3489 1249 0 0.2 3.6E+04 37 0.63 89.5171 1262 SAFH 3490 1250 0 0.2 3.6E+04 35 0.5 87.0397 1263 SAFH 3494 1251 0 0.2 3.4E+04 27 0.48 63.1479 1264 SAFH 3496 1252 0 0.2 2.7E+04 29 0.64 71.2452 1265 SAFH 3498 1253 0 0.2 2.4E+04 29 3.8 67.2628 1266 SAFH 3499 1254 0 0.2 1.4E+04 28 1.8 64.129 1267 SAFH 3502 1255 0 0.2 2.9E+04 30 0.82 66.8967 1268 SAFH 3507 1256 0 0.2 2.4E+04 26 0.12 63.0051 1269 SAFH 3515 1257 0 0.2 2.8E+04 32 15 73.1555 1270 SAFH 3516 1258 0 0.2 3.4E+04 38 0.66 92.5755 1271 SAFH 3517 1259 0 0.2 3.4E+04 30 2.5 70.9446 1272 SAFH 3520 1260 0 0.2 2.9E+04 26 1.5 63.0051 1273 SAFH 3521 1261 0 0.2 2E+04 30 0.61 67.9237 1274 SAFH 3526 1262 0 0.2 2E+04 27 0.37 63.1479 1275 SAFH 3529 1263 0 0.2 1.1E+04 26 0.18 63.0051 1276 SAFH 3534 1264 0 0.2 3.6E+04 33 1.4 87.915 1277 SAFH 3535 1265 0 0.2 2.3E+02 34 0.33 87.915 1278 SAFH 3539 1266 0 0.2 3.6E+04 38 0.24 92.7594 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1279 SAFH 3547 1267 0 0.2 3.7E+04 28 0.48 69.8318 1280 SAFH 3549 1268 0 0.2 3.1E+04 31 5 71.0126 1281 SAFH 3552 1269 0 0.2 3.2E+04 33 0.26 77.9815 1282 SAFH 3556 1270 0 0.2 3.2E+04 28 1.2E+02 64.6774 1283 SAFH 3557 1271 0 0.2 2.5E+04 29 2.7 67.5595 1284 SAFH 3558 1272 0 0.2 2.4E+04 29 11 69.8586 1285 SAFH 3559 1273 0 0.2 2.2E+04 29 9.2 64.2153 1286 SAFH 3560 1274 0 0.2 2.2E+04 28 2.7 63.0051 1287 SAFH 3561 1275 0 0.2 2.2E+04 29 0.32 64.459 1288 SAFH 3564 1276 0 0.2 1.8E+04 28 0.58 68.6161 1289 SAFH 3566 1277 0 0.2 1.4E+03 28 0.74 68.6161 1290 SAFH 3570 1278 0 0.2 1.8E+04 28 5 64.459 1291 SAFH 3571 1279 0 0.2 1.2E+04 28 16 64.459 1292 SAFH 3572 1280 0 0.2 1.7E+04 29 0.42 63.8749 1293 SAFH 3576 1281 0 0.2 3.3E+04 32 0.79 88.6142 1294 SAFH 3577 1282 0 0.2 3.3E+04 26 0.22 63.0051 1295 SAFH 3581 1283 0 0.2 1.6E+04 27 1.1 64.2153 1296 SAFH 3582 1284 0 0.2 1.5E+02 27 0.34 64.2153 1297 SAFH 3585 1285 0 0.2 1.6E+04 27 1.3 63.0051 1298 SAFH 3586 1286 0 0.2 3.3E+04 37 0.23 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1299 SAFH 3597 1287 0 0.2 3E+04 28 0.4 65.2425 1300 SAFH 3602 1288 0 0.2 2.7E+04 28 24 64.4781 1301 SAFH 3604 1289 0 0.2 2.3E+04 27 0.3 63.0051 1302 SAFH 3606 1290 0 0.2 6.2E+02 26 0.25 63.0051 1303 SAFH 3610 1291 0 0.2 3.5E+04 33 0.17 88.5988 1304 SAFH 3619 1292 0 0.2 3.3E+04 31 36 74.3504 1305 SAFH 3620 1293 0 0.2 1.9E+04 31 1.1 71.3064 1306 SAFH 3622 1294 0 0.2 3.5E+04 37 0.42 89.5171 1307 SAFH 3627 1295 0 0.2 3.4E+04 28 1.8 64.4781 1308 SAFH 3628 1296 0 0.2 3.7E+04 32 0.26 87.817 1309 SAFH 3633 1297 0 0.2 3.3E+04 36 0.24 86.825 1310 SAFH 3640 1298 0 0.2 3.5E+04 29 2.3 63.0051 1311 SAFH 3641 1299 0 0.2 5.1E+02 29 0.38 63.0051 1312 SAFH 3644 1300 0 0.2 2.5E+04 34 1.6 83.4113 1313 SAFH 3646 1301 0 0.2 3.6E+04 34 0.46 85.055 1314 SAFH 3648 1302 0 0.2 3.4E+04 37 0.9 92.7594 1315 SAFH 3649 1303 0 0.2 3.5E+04 33 0.53 88.1143 1316 SAFH 3650 1304 0 0.2 1.6E+03 33 0.25 88.1143 1317 SAFH 3655 1305 0 0.2 3.1E+04 28 18 66.3469 1318 SAFH 3657 1306 0 0.2 2.3E+04 29 0.44 64.459 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1319 SAFH 3660 1307 0 0.2 1.9E+04 29 3.1 67.6665 1320 SAFH 3661 1308 0 0.2 30 29 1.1 67.6665 1321 SAFH 3662 1309 0 0.2 2.6 28 0.51 67.6665 1322 SAFH 3664 1310 0 0.2 2.4E+04 28 2.5 64.856 1323 SAFH 3665 1311 0 0.2 1.8E+02 27 1 64.856 1324 SAFH 3666 1312 0 0.2 1.5E+04 26 0.39 63.0051 1325 SAFH 3667 1313 0 0.2 1.7E+03 26 0.29 63.0051 1326 SAFH 3670 1314 0 0.2 1.1E+04 29 1.2 64.459 1327 SAFH 3671 1315 0 0.2 2.1E+04 28 6 65.2425 1328 SAFH 3672 1316 0 0.2 2.4E+04 27 0.15 63.0051 1329 SAFH 3680 1317 0 0.2 1.5E+04 29 1.4 63.8749 1330 SAFH 3681 1318 0 0.2 21 29 0.52 63.8749 1331 SAFH 3684 1319 0 0.2 1.5E+04 26 0.14 63.0051 1332 SAFH 3686 1320 0 0.2 3.5E+03 27 0.22 63.0051 1333 SAFH 3693 1321 0 0.2 3.2E+03 26 0.21 63.0051 1334 SAFH 3696 1322 0 0.2 1.1E+04 27 0.56 65.8108 1335 SAFH 3697 1323 0 0.2 3E+04 29 0.92 75.3086 1336 SAFH 3698 1324 0 0.2 2.7E+04 28 1.3 63.8749 1337 SAFH 3699 1325 0 0.2 1.5E+04 26 0.45 63.0051 1338 SAFH 3701 1326 0 0.2 3.1E+04 32 0.24 72.7639 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1339 SAFH 3706 1327 0 0.2 3.1E+04 33 0.22 81.6143 1340 SAFH 3709 1328 0 0.2 3.1E+04 26 0.49 63.0051 1341 SAFH 3710 1329 0 0.2 9.3E+02 28 0.19 63.0051 1342 SAFH 3714 1330 0 0.2 3.1E+04 37 3.5 88.0989 1343 SAFH 3716 1331 0 0.2 3.1E+04 27 0.49 65.3626 1344 SAFH 3720 1332 0 0.2 3.3E+04 37 0.52 89.5171 1345 SAFH 3721 1333 0 0.2 2.4E+03 37 0.29 89.5171 1346 SAFH 3728 1334 0 0.2 3.1E+04 29 1.6 65.8459 1347 SAFH 3729 1335 0 0.2 2.4E+04 38 0.96 89.5171 1348 SAFH 3733 1336 0 0.2 2.5E+04 27 0.7 63.0051 1349 SAFH 3736 1337 0 0.2 3.4E+04 34 0.62 83.9659 1350 SAFH 3738 1338 0 0.2 3.4E+04 28 0.77 65.0167 1351 SAFH 3742 1339 0 0.2 1.8E+04 26 0.48 63.0051 1352 SAFH 3743 1340 0 0.2 92 26 0.17 63.0051 1353 SAFH 3749 1341 0 0.2 3.2E+04 34 0.29 81.6287 1354 SAFH 3753 1342 0 0.2 3.4E+04 32 6.5 71.943 1355 SAFH 3755 1343 0 0.2 3.2E+04 34 1.2 78.6901 1356 SAFH 3757 1344 0 0.2 3.1E+04 26 1 63.0051 1357 SAFH 3758 1345 0 0.2 2.5E+02 26 0.88 63.0051 1358 SAFH 3759 1346 0 0.2 2E+03 26 0.86 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1359 SAFH 3761 1347 0 0.2 2.5E+04 33 0.52 74.9549 1360 SAFH 3765 1348 0 0.2 2.8E+04 28 0.23 65.1163 1361 SAFH 3768 1349 0 0.2 2.9E+04 30 0.48 67.8416 1362 SAFH 3772 1350 0 0.2 3.5E+04 35 9.4 88.1143 1363 SAFH 3773 1351 0 0.2 2.9E+04 32 0.23 88.1143 1364 SAFH 3775 1352 0 0.2 3.4E+04 37 0.71 89.5171 1365 SAFH 3779 1353 0 0.2 3.4E+04 33 0.18 81.8136 1366 SAFH 3786 1354 0 0.2 3.3E+04 27 0.53 63.0051 1367 SAFH 3789 1355 0 0.2 1.5E+04 28 0.76 65.8108 1368 SAFH 3792 1356 0 0.2 2.4E+04 28 8.7 64.6306 1369 SAFH 3793 1357 0 0.2 1.3E+02 28 2.6 64.6306 1370 SAFH 3795 1358 0 0.2 3.3E+04 35 0.89 87.915 1371 SAFH 3796 1359 0 0.2 8.6E+02 36 0.22 87.915 1372 SAFH 3801 1360 0 0.2 3.7E+04 27 1.4 63.1479 1373 SAFH 3802 1361 0 0.2 1.2E+03 27 0.5 63.1479 1374 SAFH 3809 1362 0 0.2 2.5E+04 29 1.7 67.2219 1375 SAFH 3811 1363 0 0.2 2.8E+04 28 15 64.4781 1376 SAFH 3813 1364 0 0.2 1.1E+04 28 7.5 64.4781 1377 SAFH 3814 1365 0 0.2 2.9E+04 30 18 67.5262 1378 SAFH 3816 1366 0 0.2 3.4E+04 28 24 66.1723 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1379 SAFH 3818 1367 0 0.2 3.6E+04 34 0.33 79.9561 1380 SAFH 3822 1368 0 0.2 3.1E+04 30 2.1 70.4648 1381 SAFH 3823 1369 0 0.2 2E+04 27 4.4 65.8108 1382 SAFH 3824 1370 0 0.2 2.2E+04 31 0.56 72.0667 1383 SAFH 3826 1371 0 0.2 2.7E+04 27 0.64 65.8108 1384 SAFH 3829 1372 0 0.2 2.9E+04 32 0.52 74.5377 1385 SAFH 3831 1373 0 0.2 2.4E+04 30 2.2E+02 67.2593 1386 SAFH 3833 1374 0 0.2 6.2E+03 29 34 67.2593 1387 SAFH 3834 1375 0 0.2 6.7E+02 30 11 67.2593 1388 SAFH 3836 1376 0 0.2 6.8E+03 28 2.2 67.2593 1389 SAFH 3837 1377 0 0.2 1E+02 28 1.8 67.2593 1390 SAFH 3838 1378 0 0.2 1.5E+02 28 0.6 67.2593 1391 SAFH 3842 1379 0 0.2 2.3E+04 29 0.54 65.0359 1392 SAFH 3846 1380 0 0.2 1.7E+04 28 2.4 63.8749 1393 SAFH 3847 1381 0 0.2 48 28 0.27 63.8749 1394 SAFH 3852 1382 0 0.2 3.3E+04 34 0.79 88.6142 1395 SAFH 3853 1383 0 0.2 3.2E+04 26 0.22 63.0051 1396 SAFH 3855 1384 0 0.2 2.1E+04 28 0.34 66.0414 1397 SAFH 3857 1385 0 0.2 1.9E+04 27 0.26 63.8749 1398 SAFH 3859 1386 0 0.2 3E+04 31 38 70.3735 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1399 SAFH 3860 1387 0 0.2 3E+02 31 4.5 70.3735 1400 SAFH 3863 1388 0 0.2 3E+04 28 0.53 67.8394 1401 SAFH 3867 1389 0 0.2 3.2E+04 37 0.74 92.7594 1402 SAFH 3869 1390 0 0.2 3.7E+04 28 1.4 66.1893 1403 SAFH 3870 1391 0 0.2 3E+04 29 0.53 63.1479 1404 SAFH 3873 1392 0 0.2 1.1E+04 26 0.15 63.0051 1405 SAFH 3880 1393 0 0.2 3.4E+04 38 0.81 92.5755 1406 SAFH 3882 1394 0 0.2 3.2E+04 30 0.36 65.8108 1407 SAFH 3884 1395 0 0.2 1.1E+04 27 0.32 65.8108 1408 SAFH 3887 1396 0 0.2 3E+04 38 0.58 92.7594 1409 SAFH 3889 1397 0 0.2 2.1E+02 38 0.35 92.7594 1410 SAFH 3897 1398 0 0.2 2.8E+04 31 6.4 72.4035 1411 SAFH 3898 1399 0 0.2 2.4E+04 26 0.11 63.0051 1412 SAFH 3901 1400 0 0.2 2.8E+04 27 1.7 63.3029 1413 SAFH 3902 1401 0 0.2 3.3E+04 35 0.59 89.8834 1414 SAFH 3904 1402 0 0.2 3.5E+04 28 0.35 64.459 1415 SAFH 3910 1403 0 0.2 2.3E+04 29 1.6E+04 63.6412 1416 SAFH 3911 1404 0 0.2 1.1E+02 29 7.7E+03 63.6412 1417 SAFH 3912 1405 0 0.2 2.9E+03 28 3.7E+03 63.6412 1418 SAFH 3913 1406 0 0.2 2.9E+04 27 0.67 64.0004 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1419 SAFH 3915 1407 0 0.2 2.2E+04 33 8.3 73.4354 1420 SAFH 3916 1408 0 0.2 1.2E+04 33 1.1 73.4354 1421 SAFH 3920 1409 0 0.2 2.1E+04 30 0.78 65.8429 1422 SAFH 3923 1410 0 0.2 1.8E+04 28 2 63.9037 1423 SAFH 3924 1411 0 0.2 75 28 0.51 63.9037 1424 SAFH 3926 1412 0 0.2 1.6E+04 28 7.9 64.856 1425 SAFH 3928 1413 0 0.2 3E+04 31 8E+02 71.509 1426 SAFH 3929 1414 0 0.2 3.1E+04 27 1.3 64.8608 1427 SAFH 3930 1415 0 0.2 2.5E+04 32 8.6 75.4691 1428 SAFH 3931 1416 0 0.2 3E+04 30 3.5 67.2164 1429 SAFH 3933 1417 0 0.2 2.1E+04 28 1.3 67.8691 1430 SAFH 3934 1418 0 0.2 2.1E+04 30 0.5 66.5378 1431 SAFH 3937 1419 0 0.2 2.8E+04 30 1.6 71.1629 1432 SAFH 3939 1420 0 0.2 3.6E+04 34 0.17 81.1144 1433 SAFH 3943 1421 0 0.2 3.1E+04 27 0.12 63.0051 1434 SAFH 3954 1422 0 0.2 3.5E+04 31 0.31 84.8566 1435 SAFH 3955 1423 0 0.2 3.5E+04 29 0.84 69.1154 1436 SAFH 3958 1424 0 0.2 3.2E+04 33 1.8 72.0042 1437 SAFH 3960 1425 0 0.2 3.3E+04 30 4.2 76.328 1438 SAFH 3961 1426 0 0.2 3.6E+04 32 0.21 84.3721 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1439 SAFH 3963 1427 0 0.2 2.9E+04 33 0.18 82.8989 1440 SAFH 3967 1428 0 0.2 3.4E+04 29 0.51 67.7689 1441 SAFH 3971 1429 0 0.2 2.3E+04 27 0.18 63.0051 1442 SAFH 3977 1430 0 0.2 2.4E+04 29 2 67.6186 1443 SAFH 3979 1431 0 0.2 1.8E+04 27 0.4 63.8164 1444 SAFH 3984 1432 0 0.2 2.5E+04 30 1.1 74.8121 1445 SAFH 3985 1433 0 0.2 1.8E+04 26 4.7 66.4484 1446 SAFH 3986 1434 0 0.2 75 26 1.1 66.4484 1447 SAFH 3988 1435 0 0.2 2.6E+04 28 18 65.5954 1448 SAFH 3991 1436 0 0.2 3.1E+04 28 4.6 64.856 1449 SAFH 3993 1437 0 0.2 1.7E+02 28 0.87 64.856 1450 SAFH 3995 1438 0 0.2 26 27 0.4 64.856 1451 SAFH 3999 1439 0 0.2 2.8E+04 31 0.24 73.4847 1452 SAFH 4006 1440 0 0.2 2.6E+04 28 0.18 64.459 1453 SAFH 4010 1441 0 0.2 1.7E+04 29 0.22 65.8108 1454 SAFH 4017 1442 0 0.2 1.9E+04 27 0.2 69.1048 1455 SAFH 4025 1443 0 0.2 2.1E+04 28 34 64.6943 1456 SAFH 4026 1444 0 0.2 3.8E+02 28 9 64.6943 1457 SAFH 4027 1445 0 0.2 2.6E+04 29 0.41 68.9797 1458 SAFH 4032 1446 0 0.2 2.9E+04 32 0.11 76.4785 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1459 SAFH 4041 1447 0 0.2 3E+04 26 0.13 69.1048 1460 SAFH 4046 1448 0 0.2 2.6E+04 28 0.36 64.2153 1461 SAFH 4049 1449 0 0.2 1.4E+04 27 0.32 63.1479 1462 SAFH 4054 1450 0 0.2 2.4E+04 24 0.097 69.1048 1463 SAFH 4058 1451 0 0.2 3E+04 38 1.4 92.5755 1464 SAFH 4061 1452 0 0.2 2.7E+04 29 0.063 63.0051 1465 SAFH 4075 1453 0 0.2 1.7E+04 30 0.51 67.6879 1466 SAFH 4078 1454 0 0.2 3.8E+04 38 0.3 92.7594 1467 SAFH 4081 1455 0 0.2 3.7E+04 29 2.3 65.7437 1468 SAFH 4082 1456 0 0.2 3.4E+04 36 0.17 87.3249 1469 SAFH 4089 1457 0 0.2 3.5E+04 28 0.37 63.1479 1470 SAFH 4091 1458 0 0.2 2.1E+04 27 0.45 64.459 1471 SAFH 4094 1459 0 0.2 1.4E+04 26 0.14 63.0051 1472 SAFH 4098 1460 0 0.2 1.6E+04 28 0.29 65.8108 1473 SAFH 4102 1461 0 0.2 2E+04 27 0.32 63.1479 1474 SAFH 4109 1462 0 0.2 1.4E+04 27 0.16 64.459 1475 SAFH 4119 1463 0 0.2 3.2E+04 38 0.24 91.4855 1476 SAFH 4126 1464 0 0.2 3.5E+04 30 0.68 71.0435 1477 SAFH 4128 1465 0 0.2 3E+04 26 0.069 63.0051 1478 SAFH 4139 1466 0 0.2 2.7E+03 27 0.1 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1479 SAFH 4145 1467 0 0.2 2.4E+04 30 2.1 69.6275 1480 SAFH 4147 1468 0 0.2 3.1E+04 29 59 66.5568 1481 SAFH 4148 1469 0 0.2 2.2E+04 28 0.99 65.8241 1482 SAFH 4150 1470 0 0.2 2.7E+04 26 0.1 63.0051 1483 SAFH 4154 1471 0 0.2 2.9E+04 29 13 65.89 1484 SAFH 4156 1472 0 0.2 2.5E+04 28 0.27 63.8749 1485 SAFH 4160 1473 0 0.2 3.2E+04 38 56 91.4855 1486 SAFH 4161 1474 0 0.2 2.9E+04 38 5 91.4855 1487 SAFH 4162 1475 0 0.2 3.2E+04 28 0.17 63.1479 1488 SAFH 4169 1476 0 0.2 2.5E+04 30 0.37 70.6933 1489 SAFH 4172 1477 0 0.2 3.5E+04 38 0.28 92.7594 1490 SAFH 4173 1478 0 0.2 3.8E+04 31 3.2 70.1399 1491 SAFH 4174 1479 0 0.2 1.4E+04 30 23 70.1399 1492 SAFH 4175 1480 0 0.2 3.4E+02 30 9.9 70.1399 1493 SAFH 4177 1481 0 0.2 2.5E+04 25 0.35 63.0051 1494 SAFH 4180 1482 0 0.2 2.5E+03 26 0.14 63.0051 1495 SAFH 4182 1483 0 0.2 2.3E+03 26 0.16 63.0051 1496 SAFH 4185 1484 0 0.2 2.2E+04 32 0.8 71.0392 1497 SAFH 4186 1485 0 0.2 2.5E+04 34 0.17 76.7821 1498 SAFH 4195 1486 0 0.2 3E+04 30 0.59 67.4199 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1499 SAFH 4197 1487 0 0.2 2.5E+04 31 0.21 69.7281 1500 SAFH 4201 1488 0 0.2 2.4E+04 26 0.23 63.0051 1501 SAFH 4205 1489 0 0.2 1.5E+04 28 4.3 64.4781 1502 SAFH 4206 1490 0 0.2 1.1E+04 28 2.1 64.856 1503 SAFH 4207 1491 0 0.2 1.3E+04 30 0.59 67.9898 1504 SAFH 4209 1492 0 0.2 9.7E+03 31 0.52 67.9898 1505 SAFH 4211 1493 0 0.2 2.6E+04 27 0.38 63.0051 1506 SAFH 4215 1494 0 0.2 2.2E+04 31 0.92 68.3635 1507 SAFH 4217 1495 0 0.2 3.5E+04 33 0.24 84.8566 1508 SAFH 4221 1496 0 0.2 3.7E+04 31 2.1 70.5936 1509 SAFH 4223 1497 0 0.2 1.9E+04 30 2.1 69.0768 1510 SAFH 4224 1498 0 0.2 3.2E+04 36 7.1 88.7981 1511 SAFH 4225 1499 0 0.2 3.2E+04 33 2.2 75.9508 1512 SAFH 4227 1500 0 0.2 3.2E+04 32 0.35 73.2514 1513 SAFH 4233 1501 0 0.2 3E+04 24 0.12 69.1048 1514 SAFH 4235 1502 0 0.2 2.5E+04 32 14 69.7281 1515 SAFH 4236 1503 0 0.2 2.6E+04 28 0.57 64.7096 1516 SAFH 4240 1504 0 0.2 3.8E+04 38 0.22 92.7594 1517 SAFH 4244 1505 0 0.2 3.8E+04 26 0.17 63.0051 1518 SAFH 4249 1506 0 0.2 2.5E+04 30 0.15 69.7281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1519 SAFH 4255 1507 0 0.2 3.4E+04 27 2.1 68.1686 1520 SAFH 4256 1508 0 0.2 3.1E+04 32 2.4 72.008 1521 SAFH 4257 1509 0 0.2 3E+04 27 6.3 64.2441 1522 SAFH 4258 1510 0 0.2 7.4E+03 29 2.5 69.4548 1523 SAFH 4260 1511 0 0.2 2.1E+04 27 1 63.732 1524 SAFH 4261 1512 0 0.2 2.6E+04 35 0.55 81.0965 1525 SAFH 4262 1513 0 0.2 3.6E+04 28 2.9 65.4754 1526 SAFH 4263 1514 0 0.2 5.6E+03 30 3.3 67.4438 1527 SAFH 4264 1515 0 0.2 2.7E+04 31 2.5 69.806 1528 SAFH 4265 1516 0 0.2 3.1E+04 30 0.57 70.2799 1529 SAFH 4268 1517 0 0.2 3.1E+04 29 9.3 64.538 1530 SAFH 4269 1518 0 0.2 3E+04 31 3.9E+02 69.7378 1531 SAFH 4270 1519 0 0.2 1.7E+02 31 23 69.7378 1532 SAFH 4271 1520 0 0.2 2.5E+04 29 2.9 69.3888 1533 SAFH 4273 1521 0 0.2 2.8E+04 26 0.31 64.6356 1534 SAFH 4276 1522 0 0.2 2.5E+04 28 5.2 64.0384 1535 SAFH 4277 1523 0 0.2 2.8E+04 33 0.48 80.9418 1536 SAFH 4280 1524 0 0.2 3.2E+04 26 0.13 63.0051 1537 SAFH 4286 1525 0 0.2 2.7E+04 29 1.1 68.6743 1538 SAFH 4288 1526 0 0.2 3.2E+04 34 0.29 79.7628 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1539 SAFH 4292 1527 0 0.2 2.9E+04 26 0.097 63.0051 1540 SAFH 4298 1528 0 0.2 2.8E+04 38 21 89.5171 1541 SAFH 4299 1529 0 0.2 3.1E+04 29 2.7 67.5247 1542 SAFH 4300 1530 0 0.2 55 29 0.34 67.5247 1543 SAFH 4301 1531 0 0.2 2.8E+04 35 0.13 86.0689 1544 SAFH 4308 1532 0 0.2 3.3E+04 30 85 72.0217 1545 SAFH 4309 1533 0 0.2 2.7E+04 33 1 72.5091 1546 SAFH 4312 1534 0 0.2 2.6E+04 28 0.8 64.0384 1547 SAFH 4315 1535 0 0.2 2.1E+03 28 0.68 64.0384 1548 SAFH 4318 1536 0 0.2 1.9E+04 31 0.31 71.9889 1549 SAFH 4322 1537 0 0.2 3.5E+04 38 0.19 92.5755 1550 SAFH 4330 1538 0 0.2 3.3E+04 31 1.5 70.4263 1551 SAFH 4331 1539 0 0.2 1.8E+04 30 0.23 70.4263 1552 SAFH 4333 1540 0 0.2 3E+04 31 0.41 79.3817 1553 SAFH 4340 1541 0 0.2 3.4E+04 35 0.46 84.5746 1554 SAFH 4341 1542 0 0.2 3.2E+04 28 0.53 65.7826 1555 SAFH 4344 1543 0 0.2 2.5E+04 26 0.11 63.0051 1556 SAFH 4352 1544 0 0.2 1.5E+04 27 0.75 64.459 1557 SAFH 4353 1545 0 0.2 1.1E+04 28 0.14 64.459 1558 SAFH 4362 1546 0 0.2 1.3E+04 27 2.4 66.3278 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1559 SAFH 4363 1547 0 0.2 2E+02 26 0.66 66.3278 1560 SAFH 4365 1548 0 0.2 1.7E+04 26 0.097 63.0051 1561 SAFH 4368 1549 0 0.2 1.5E+04 27 0.12 64.459 1562 SAFH 4377 1550 0 0.2 2.8E+04 30 0.25 70.6933 1563 SAFH 4380 1551 0 0.2 2.9E+04 26 0.21 66.3278 1564 SAFH 4383 1552 0 0.2 1.7E+04 27 0.16 63.0051 1565 SAFH 4384 1553 0 0.2 2.5E+04 28 2.3 68.8497 1566 SAFH 4385 1554 0 0.2 2.9E+04 31 0.25 77.2557 1567 SAFH 4391 1555 0 0.2 2.9E+04 28 1.9 63.8749 1568 SAFH 4392 1556 0 0.2 2.5E+04 29 1.4E+02 71.8956 1569 SAFH 4393 1557 0 0.2 2.4E+02 30 16 71.8956 1570 SAFH 4394 1558 0 0.2 2.1E+04 30 0.33 71.8956 1571 SAFH 4397 1559 0 0.2 2.5E+04 31 0.21 70.7087 1572 SAFH 4403 1560 0 0.2 2.5E+04 27 0.32 64.6943 1573 SAFH 4405 1561 0 0.2 2.6E+04 28 0.23 65.2769 1574 SAFH 4409 1562 0 0.2 2.4E+04 28 0.25 65.6907 1575 SAFH 4411 1563 0 0.2 91 28 0.097 65.6907 1576 SAFH 4417 1564 0 0.2 2.5E+04 28 1.4 65.3843 1577 SAFH 4418 1565 0 0.2 39 28 0.4 65.3843 1578 SAFH 4422 1566 0 0.2 1.9E+04 31 0.26 69.6287 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1579 SAFH 4426 1567 0 0.2 2.7E+04 26 0.24 64.459 1580 SAFH 4429 1568 0 0.2 1.4E+04 26 0.16 63.0051 1581 SAFH 4434 1569 0 0.2 3.2E+03 26 0.25 63.0051 1582 SAFH 4436 1570 0 0.2 3.6E+04 37 0.53 89.5171 1583 SAFH 4438 1571 0 0.2 3.2E+04 30 1 76.1731 1584 SAFH 4439 1572 0 0.2 2.5E+04 29 0.31 66.3553 1585 SAFH 4443 1573 0 0.2 2.4E+04 27 0.12 63.0051 1586 SAFH 4444 1574 0 0.2 3.9E+02 27 0.071 63.0051 1587 SAFH 4454 1575 0 0.2 2.3E+04 28 3.7 64.0004 1588 SAFH 4455 1576 0 0.2 1.6E+04 31 4.9 73.4741 1589 SAFH 4456 1577 0 0.2 2.5E+04 28 0.23 63.0051 1590 SAFH 4458 1578 0 0.2 4.8E+03 27 0.13 63.0051 1591 SAFH 4462 1579 0 0.2 1.7E+04 28 0.48 63.8749 1592 SAFH 4465 1580 0 0.2 1.7E+04 26 0.096 64.459 1593 SAFH 4469 1581 0 0.2 1.5E+04 26 0.095 63.0051 1594 SAFH 4472 1582 0 0.2 4E+03 29 0.18 63.0051 1595 SAFH 4475 1583 0 0.2 4.3E+03 26 0.39 63.0051 1596 SAFH 4476 1584 0 0.2 4E+03 26 0.38 63.0051 1597 SAFH 4478 1585 0 0.2 2.6E+04 32 0.18 73.1504 1598 SAFH 4484 1586 0 0.2 2.6E+04 26 0.089 63.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1599 SAFH 4488 1587 0 0.2 1.2E+04 27 0.12 63.1479 1600 SAFHL 4495 1588 0 0.2 2.8E+04 32 28 71.4448 1601 SAFH 4452 1588 0 0.1 2.9E+04 26 0.32 63.0051 1602 SAFH 4453 1589 0 0.1 2.1E+04 26 2.5 64.8653 1603 SAFH 4454 1590 0 0.1 3.2E+04 29 0.19 65.0359 1604 SAFH 4459 1591 0 0.1 3.5E+04 38 0.2 92.5755 1605 SAFH 4465 1592 0 0.1 3.4E+04 36 0.16 88.5988 1606 SAFH 4476 1593 0 0.1 3.4E+04 26 0.091 63.0051 1607 SAFH 4480 1594 0 0.1 65 26 0.045 63.0051 1608 SAFH 4488 1595 0 0.1 2.8E+04 33 0.29 83.4356 1609 SAFH 4491 1596 0 0.1 2.8E+04 26 0.08 63.0051 1610 SAFH 4492 1597 0 0.1 2E+04 28 0.59 63.0051 1611 SAFH 4494 1598 0 0.1 2.5E+04 28 0.12 63.8749 1612 SAFH 4500 1599 0 0.1 2E+04 26 0.93 63.8749 1613 SAFH 4503 1600 0 0.1 2.9E+04 28 0.62 63.4742 1614 SAFH 4505 1601 0 0.1 2.5E+04 32 0.2 75.7668 1615 SAFH 4510 1602 0 0.1 3.1E+04 26 0.71 65.0805 1616 SAFH 4513 1603 0 0.1 2.8E+04 28 0.56 63.8902 1617 SAFH 4514 1604 0 0.1 2.4E+03 28 0.56 63.8902 1618 SAFH 4515 1605 0 0.1 3.5E+04 37 0.13 89.5171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1619 SAFH 4525 1606 0 0.1 3.6E+04 29 1.1 64.0562 1620 SAFH 4529 1607 0 0.1 2.4E+04 26 0.21 66.0896 1621 SAFH 4533 1608 0 0.1 1.7E+04 27 0.067 63.0051 1622 SAFH 4537 1609 0 0.1 2.4E+04 29 0.7 66.6806 1623 SAFH 4538 1610 0 0.1 1.7E+04 28 0.39 63.5784 1624 SAFH 4539 1611 0 0.1 2.4E+04 27 0.53 65.3302 1625 SAFH 4541 1612 0 0.1 1.9E+03 27 1.3 65.3302 1626 SAFH 4543 1613 0 0.1 3.6E+04 37 0.52 89.5171 1627 SAFH 4546 1614 0 0.1 3.6E+04 28 0.23 65.2425 1628 SAFH 4552 1615 0 0.1 2E+04 30 0.15 65.8108 1629 SAFH 4557 1616 0 0.1 6.4E+03 30 0.35 65.8108 1630 SAFH 4558 1617 0 0.1 1.8E+04 27 0.59 63.732 1631 SAFH 4560 1618 0 0.1 2.1E+04 27 0.053 63.0051 1632 SAFH 4569 1619 0 0.1 1.3E+04 24 0.14 64.459 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.102_nd-13._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 63.005050271000008877 Max constraint (8) : 2.3992470232769846916e-09 Alternative solution : MIP Alt. objective value : 63.005050271000008877 Max constraint (8) : 2.3992470232769846916e-09 Time used (seconds) : 7202.10 Time limit (seconds) : 7200 Iterations used : 1633 Iteration limit : -1 Function evaluations : 281600 Gradient evaluations : 4617 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 0/1633 NLP solver calls : 1632 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- nd-13.gms(932) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job nd-13.gms Stop 09/14/12 16:50:33 elapsed 2:00:02.356 @04 1347634233 ----------------------------- Fr 14. Sep 16:50:33 CEST 2012 ----------------------------- =ready= Linux opt232 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/NetworkDesign/gms/nd-15.gms =========== ----------------------------- Fr 14. Sep 14:51:51 CEST 2012 ----------------------------- @03 1347627111 --- Job nd-15.gms Start 09/14/12 14:51:51 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- nd-15.gms(1199) 2 Mb --- Starting execution: elapsed 0:00:00.020 --- nd-15.gms(1197) 3 Mb --- Generating MINLP model m --- nd-15.gms(1199) 5 Mb --- 357 rows 851 columns 3,301 non-zeroes --- 2,500 nl-code 750 nl-non-zeroes --- 50 discrete-columns --- nd-15.gms(1199) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.031 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.103_nd-15._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3301 elements of which 23% are non-linear(NL) included in 357 constraints of which 14% are NL The NL constraint signs: =E=(0), =G=(50), =L=(0) The number of variables in NL elements are 750 from a total of 851 variables: Continuous(801), Binary(50), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=116 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (236) infeasibile 0 H 0 0 0 1 0 50 1.6 NA 1 SAFH 50 1 0 1 4.2E+04 46 2.7E+11 119.883 2 SAFH 53 2 0 1 1.4E+04 46 2.6E+11 119.883 3 SAFH 56 3 0 1 1.3E+04 46 1.1E+11 119.883 4 SAFH 60 4 0 1 1.3E+04 45 1.9E+11 117.394 5 SAFH 63 5 0 1 1.5E+04 45 2.3E+11 116.905 6 SAFH 66 6 0 1 1.3E+04 46 2.1E+11 119.883 7 SAFH 69 7 0 1 1.1E+04 46 1.9E+11 119.883 8 SAFH 73 8 0 1 1.7E+04 46 1.5E+11 119.883 9 SAFH 77 9 0 1 1.4E+04 46 2.1E+11 119.883 10 SAFH 79 10 0 1 1.4E+04 44 1.1E+11 114.348 11 SAFH 84 11 0 1 1.2E+04 46 7.6E+10 119.883 12 SAFH 90 12 0 1 1.3E+04 46 9.5E+10 119.883 13 SAFH 92 13 0 1 1.5E+04 45 3.9E+11 119.883 14 SAFH 93 14 0 1 1.1E+04 45 1.2E+11 117.659 15 SAFH 94 15 0 1 1E+04 45 7.4E+10 117.659 16 SAFH 99 16 0 1 1.4E+04 46 1.9E+11 119.883 17 SAFH 100 17 0 1 1E+04 46 9.4E+10 119.883 18 SAFH 102 18 0 1 1.2E+04 46 1E+11 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 105 19 0 1 1.2E+04 46 6.1E+10 119.883 20 SAFH 107 20 0 1 1.4E+04 46 2.1E+11 119.883 21 SAFH 108 21 0 1 1.1E+04 46 4.2E+10 119.883 22 SAFH 116 22 0 1 1.6E+04 46 6.5E+10 119.883 23 SAFH 119 23 0 1 1.3E+04 46 1.2E+11 119.883 24 SAFH 121 24 0 1 1.2E+04 46 2.7E+11 119.883 25 SAFH 122 25 0 1 1.4E+04 46 3.8E+10 119.883 26 SAFH 129 26 0 1 1.5E+04 45 2.7E+10 118.459 27 SAFH 133 27 0 1 1.4E+04 46 3.9E+11 119.883 28 SAFH 134 28 0 1 1.2E+04 46 1.2E+10 119.883 29 SAFH 139 29 0 1 1.5E+04 45 1.9E+11 119.883 30 SAFH 140 30 0 1 1.6E+04 46 7.3E+10 119.883 31 SAFH 141 31 0 1 1.2E+04 46 2.7E+10 119.883 32 SAFH 144 32 0 1 1.4E+04 46 1.1E+11 119.883 33 SAFH 147 33 0 1 1.4E+04 46 4.9E+10 119.883 34 SAFH 148 34 0 1 9.3E+03 45 1.4E+11 117.886 35 SAFH 149 35 0 1 1.2E+04 46 3.6E+10 119.883 36 SAFH 151 36 0 1 1.4E+04 46 6.8E+10 119.883 37 SAFH 152 37 0 1 1.5E+04 46 4.7E+10 119.883 38 SAFH 153 38 0 1 1.3E+04 46 1E+11 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 155 39 0 1 1.1E+04 46 6.5E+10 119.883 40 SAFH 156 40 0 1 1.4E+04 46 1.5E+10 119.883 41 SAFH 159 41 0 1 1.4E+04 46 5.2E+10 119.883 42 SAFH 161 42 0 1 1.3E+04 46 3.4E+10 119.883 43 SAFH 163 43 0 1 1.4E+04 46 1.9E+10 119.883 44 SAFH 169 44 0 1 1.1E+04 46 4.3E+10 119.883 45 SAFH 170 45 0 1 1.3E+04 46 2.3E+10 119.883 46 SAFH 171 46 0 1 1.3E+04 46 1.5E+10 119.883 47 SAFH 172 47 0 1 1.2E+04 46 1.8E+10 119.883 48 SAFH 175 48 0 1 1.2E+04 45 6.8E+10 119.883 49 SAFH 176 49 0 1 7.8E+03 46 5.2E+10 119.883 50 SAFH 179 50 0 1 1.3E+04 43 2.1E+10 116.905 51 SAFH 182 51 0 1 1.2E+04 44 2.4E+10 115.171 52 SAFH 183 52 0 1 1.4E+04 46 5.4E+10 119.883 53 SAFH 184 53 0 1 1.1E+04 46 5.3E+10 119.883 54 SAFH 185 54 0 1 1.1E+04 46 2.9E+10 119.883 55 SAFH 186 55 0 1 1E+04 46 9.5E+09 119.883 56 SAFH 192 56 0 1 1.6E+04 45 1.3E+11 119.883 57 SAFH 193 57 0 1 1.2E+04 46 1.9E+10 119.883 58 SAFH 196 58 0 1 1.2E+04 45 1.9E+10 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 197 59 0 1 1.3E+04 46 1.7E+10 119.883 60 SAFH 199 60 0 1 1.3E+04 46 7.7E+09 119.883 61 SAFH 203 61 0 1 1.4E+04 45 5.4E+10 119.883 62 SAFH 204 62 0 1 1E+04 46 1.6E+10 119.883 63 SAFH 206 63 0 1 1.8E+04 46 1.2E+10 119.883 64 SAFH 208 64 0 1 1.1E+04 46 2.6E+10 119.883 65 SAFH 209 65 0 1 7.8E+03 46 8.1E+09 119.883 66 SAFH 213 66 0 1 1.7E+04 46 1.2E+10 119.883 67 SAFH 216 67 0 1 1.6E+04 45 2.7E+10 117.394 68 SAFH 218 68 0 1 9.9E+03 46 1.1E+10 119.883 69 SAFH 223 69 0 1 1.4E+04 46 2.7E+10 119.883 70 SAFH 224 70 0 1 8.7E+03 46 9.1E+09 119.883 71 SAFH 226 71 0 1 1.1E+04 46 4.7E+10 119.883 72 SAFH 227 72 0 1 9.3E+03 46 2.3E+10 119.883 73 SAFH 228 73 0 1 1.1E+04 46 4.6E+09 119.883 74 SAFH 235 74 0 1 1.4E+04 46 7.3E+09 119.883 75 SAFH 238 75 0 1 1.5E+04 46 4.1E+09 119.883 76 SAFH 241 76 0 1 1.3E+04 46 1.3E+10 119.883 77 SAFH 242 77 0 1 1.3E+04 46 1.9E+11 119.883 78 SAFH 243 78 0 1 9.6E+03 46 1.3E+10 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 244 79 0 1 1.1E+04 46 6.6E+09 119.883 80 SAFH 246 80 0 1 1.2E+04 46 1.5E+10 119.883 81 SAFH 248 81 0 1 1.1E+04 46 4.8E+09 119.883 82 SAFH 253 82 0 1 1.4E+04 46 6.2E+09 119.883 83 SAFH 255 83 0 1 8E+03 46 2.7E+09 119.883 84 SAFH 262 84 0 1 1.2E+04 46 7.3E+09 119.883 85 SAFH 263 85 0 1 8.3E+03 46 3.4E+09 119.883 86 SAFH 267 86 0 1 1.3E+04 46 1.7E+10 119.883 87 SAFH 268 87 0 1 8.8E+03 46 2.3E+09 119.883 88 SAFH 272 88 0 1 1.2E+04 46 1E+09 119.883 89 SAFH 278 89 0 1 1.5E+04 44 8.4E+09 119.883 90 SAFH 280 90 0 1 1.4E+04 45 6.5E+10 119.883 91 SAFH 281 91 0 1 1.1E+04 46 3.3E+10 119.883 92 SAFH 282 92 0 1 1.2E+04 46 6.6E+09 119.883 93 SAFH 284 93 0 1 1.5E+04 46 4.6E+09 119.883 94 SAFH 288 94 0 1 1.2E+04 45 3.3E+09 116.572 95 SAFH 291 95 0 1 1.4E+04 46 1.2E+10 119.883 96 SAFH 292 96 0 1 1E+04 46 2.4E+09 119.883 97 SAFH 296 97 0 1 1.2E+04 46 4.1E+09 119.883 98 SAFH 297 98 0 1 1.4E+04 46 6.6E+09 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 300 99 0 1 1.6E+04 45 1.9E+11 119.883 100 SAFH 301 100 0 1 1.2E+04 44 9.7E+10 115.971 101 SAFH 302 101 0 1 1.2E+04 46 1.6E+10 119.883 102 SAFH 303 102 0 1 1E+04 46 4.9E+10 119.883 103 SAFH 304 103 0 1 9E+03 46 2.4E+10 119.883 104 SAFH 305 104 0 1 9.7E+03 46 8.2E+09 119.883 105 SAFH 308 105 0 1 1.1E+04 46 3E+09 119.883 106 SAFH 310 106 0 1 1.4E+04 45 2.1E+09 119.883 107 SAFH 313 107 0 1 1.2E+04 46 1.4E+09 119.883 108 SAFH 316 108 0 1 1.2E+04 45 1.8E+09 119.883 109 SAFH 320 109 0 1 1.7E+04 45 1.3E+10 119.883 110 SAFH 321 110 0 1 1.4E+04 46 9.5E+10 119.883 111 SAFH 322 111 0 1 1.4E+04 46 6.7E+09 119.883 112 SAFH 323 112 0 1 1.3E+04 46 4.7E+10 119.883 113 SAFH 324 113 0 1 1.3E+04 46 2.4E+10 119.883 114 SAFH 325 114 0 1 1E+04 46 3.4E+09 119.883 115 SAFH 327 115 0 1 1.1E+04 46 1.4E+09 119.883 116 SAFH 328 116 0 1 1E+04 45 2.1E+09 119.883 117 SAFH 330 117 0 1 1.2E+04 45 1.2E+09 117.394 118 SAFH 333 118 0 1 9.8E+03 46 6.8E+08 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 339 119 0 1 1.5E+04 46 4.1E+09 119.883 120 SAFH 341 120 0 1 1.4E+04 45 2.7E+10 117.183 121 SAFH 342 121 0 1 8.4E+03 45 8.5E+08 117.183 122 SAFH 348 122 0 1 1.3E+04 46 5.9E+09 119.883 123 SAFH 349 123 0 1 1.4E+04 46 2E+09 119.883 124 SAFH 351 124 0 1 1E+04 45 1.6E+09 119.883 125 SAFH 353 125 0 1 9.9E+03 46 7.4E+08 119.883 126 SAFH 355 126 0 1 1.2E+04 46 1E+09 119.883 127 SAFH 356 127 0 1 1.2E+04 46 4.2E+08 119.883 128 SAFH 363 128 0 1 1.5E+04 46 9.2E+08 119.883 129 SAFH 366 129 0 1 1.3E+04 45 3.3E+09 117.394 130 SAFH 368 130 0 1 9.1E+03 46 1.5E+09 119.883 131 SAFH 369 131 0 1 9.4E+03 46 1E+09 119.883 132 SAFH 370 132 0 1 1.1E+04 46 1.3E+09 119.883 133 SAFH 371 133 0 1 8E+03 45 1.5E+09 119.883 134 SAFH 372 134 0 1 8.1E+03 46 1.6E+09 119.883 135 SAFH 373 135 0 1 1.2E+04 46 7.7E+08 119.883 136 SAFH 377 136 0 1 1.5E+04 46 7.3E+08 119.883 137 SAFH 380 137 0 1 1.2E+04 46 4.3E+08 119.883 138 SAFH 386 138 0 1 1.3E+04 45 8.2E+08 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 388 139 0 1 1.3E+04 45 1.2E+10 117.394 140 SAFH 389 140 0 1 7E+03 44 1.2E+09 116.572 141 SAFG 391 141 0 1 5.3E+04 0 4.5E-13 119.883 141 FOUND SOLUTION: 119.883 (NLP) in 12 sec. 142 SAFH 391 141 0 1 4.5E+04 45 8.2E+08 119.883 143 SAFH 392 142 0 1 1.1E+04 45 5.1E+08 117.183 144 SAFH 396 143 0 1 1.3E+04 46 5.8E+08 119.883 145 SAFH 398 144 0 1 1.2E+04 46 3.3E+08 119.883 146 SAFH 404 145 0 1 1.4E+04 46 3.7E+08 119.883 147 SAFH 409 146 0 1 1.6E+04 46 4.1E+08 119.883 148 SAFH 411 147 0 1 1.2E+04 45 6.1E+09 116.315 149 SAFH 412 148 0 1 9.4E+03 45 2.1E+08 116.315 150 SAFH 419 149 0 1 1.2E+04 46 4.1E+08 119.883 151 SAFH 421 150 0 1 1.3E+04 45 1.2E+10 119.883 152 SAFH 422 151 0 1 1.2E+04 46 1.1E+08 119.883 153 SAFH 427 152 0 1 1.4E+04 46 3.3E+08 119.883 154 SAFH 430 153 0 1 1.3E+04 46 9.6E+07 119.883 155 SAFH 434 154 0 1 1.5E+04 46 1.7E+09 119.883 156 SAFH 435 155 0 1 1.1E+04 45 9.2E+08 116.905 157 SAFH 436 156 0 1 9.8E+03 45 8.4E+08 116.905 158 SAFH 437 157 0 1 1.2E+04 46 2.1E+08 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 439 158 0 1 1.3E+04 46 9.6E+08 119.883 160 SAFH 440 159 0 1 9.6E+03 44 4.8E+08 117.183 161 SAFH 441 160 0 1 1.3E+04 46 4.2E+08 119.883 162 SAFH 442 161 0 1 9.4E+03 46 2.4E+08 119.883 163 SAFH 445 162 0 1 1E+04 46 1.8E+08 119.883 164 SAFH 448 163 0 1 1.3E+04 46 3.7E+08 119.883 165 SAFH 449 164 0 1 1E+04 46 1.7E+08 119.883 166 SAFH 452 165 0 1 1.3E+04 46 2E+09 119.883 167 SAFH 454 166 0 1 1.1E+04 46 2.3E+08 119.883 168 SAFH 455 167 0 1 1.4E+04 45 2E+08 119.883 169 SAFH 456 168 0 1 1.3E+04 46 1.1E+09 119.883 170 SAFH 457 169 0 1 1.1E+04 46 1.7E+08 119.883 171 SAFH 459 170 0 1 1.2E+04 46 1E+08 119.883 172 SAFH 464 171 0 1 1.2E+04 46 1.8E+08 119.883 173 SAFH 467 172 0 1 1.2E+04 46 5.3E+08 119.883 174 SAFH 468 173 0 1 1.2E+04 45 3E+09 116.905 175 SAFH 469 174 0 1 1E+04 46 4.6E+08 119.883 176 SAFH 471 175 0 1 1.4E+04 45 1E+09 119.883 177 SAFH 472 176 0 1 1E+04 46 1.4E+08 119.883 178 SAFH 474 177 0 1 1.1E+04 46 1.1E+08 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 475 178 0 1 7.8E+03 46 1.4E+08 119.883 180 SAFH 476 179 0 1 1.1E+04 44 1.4E+08 113.872 181 SAFH 478 180 0 1 1.2E+04 46 7.1E+07 119.883 182 SAFH 486 181 0 1 1.5E+04 46 1.3E+08 119.883 183 SAFH 488 182 0 1 1.2E+04 46 6.4E+07 119.883 184 SAFH 494 183 0 1 1.5E+04 46 1E+08 119.883 185 SAFH 495 184 0 1 1.3E+04 46 9.2E+07 119.883 186 SAFH 497 185 0 1 1.2E+04 46 7.1E+07 119.883 187 SAFH 500 186 0 1 1.4E+04 46 5.9E+09 119.883 188 SAFH 501 187 0 1 9.2E+03 46 1.3E+08 119.883 189 SAFH 503 188 0 1 1.4E+04 44 5.1E+08 119.883 190 SAFH 504 189 0 1 1.2E+04 45 5.3E+07 119.883 191 SAFH 507 190 0 1 1.4E+04 46 2.6E+08 119.883 192 SAFH 508 191 0 1 1.1E+04 46 3E+09 119.883 193 SAFH 510 192 0 1 1.1E+04 45 1.3E+08 119.883 194 SAFH 511 193 0 1 1.5E+04 45 5.1E+07 117.529 195 SAFH 515 194 0 1 1.3E+04 46 2.3E+08 119.883 196 SAFH 516 195 0 1 1E+04 46 6.4E+07 119.883 197 SAFH 518 196 0 1 1.5E+04 45 7.2E+07 119.883 198 SAFH 520 197 0 1 1.1E+04 46 2.7E+07 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 529 198 0 1 1.5E+04 46 8.4E+07 119.883 200 SAFH 531 199 0 1 1.2E+04 46 9.2E+07 119.883 201 SAFH 532 200 0 0.5 1.2E+04 45 2.4E+07 119.883 202 SAFH 536 201 0 0.5 1.6E+04 46 1.1E+08 119.883 203 SAFH 537 202 0 0.5 1.1E+04 45 5.7E+07 119.883 204 SAFH 539 203 0 0.5 1.3E+04 46 3.6E+07 119.883 205 SAFH 542 204 0 0.5 1.4E+04 45 4.2E+07 119.883 206 SAFH 545 205 0 0.5 1.1E+04 46 6.6E+07 119.883 207 SAFH 546 206 0 0.5 1.2E+04 46 2.1E+07 119.883 208 SAFH 551 207 0 0.5 1.4E+04 45 5.3E+08 117.394 209 SAFH 552 208 0 0.5 7.7E+03 45 6.4E+07 117.394 210 SAFH 553 209 0 0.5 1.3E+04 46 3.3E+07 119.883 211 SAFH 556 210 0 0.5 1.4E+04 46 4.6E+07 119.883 212 SAFH 557 211 0 0.5 1.2E+04 46 6E+07 119.883 213 SAFH 558 212 0 0.5 8.9E+03 46 2.9E+07 119.883 214 SAFH 561 213 0 0.5 1.3E+04 46 3E+07 119.883 215 SAFH 564 214 0 0.5 1.5E+04 46 2E+08 119.883 216 SAFH 565 215 0 0.5 8.9E+03 46 1.3E+07 119.883 217 SAFH 570 216 0 0.5 1.6E+04 46 5.3E+07 119.883 218 SAFH 571 217 0 0.5 8.4E+03 46 1.3E+07 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 577 218 0 0.5 1.7E+04 46 2.6E+08 119.883 220 SAFH 578 219 0 0.5 8.3E+03 46 1.3E+08 119.883 221 SAFH 579 220 0 0.5 8.6E+03 46 1.5E+07 119.883 222 SAFH 583 221 0 0.5 1.3E+04 45 3.2E+07 119.883 223 SAFH 587 222 0 0.5 1.5E+04 45 1.2E+07 119.883 224 SAFH 591 223 0 0.5 1.3E+04 46 2.3E+07 119.883 225 SAFH 594 224 0 0.5 1.4E+04 46 7.6E+08 119.883 226 SAFH 595 225 0 0.5 9.8E+03 46 2.3E+07 119.883 227 SAFH 596 226 0 0.5 1.1E+04 46 1.4E+07 119.883 228 SAFH 597 227 0 0.5 1.1E+04 46 6.6E+07 119.883 229 SAFH 598 228 0 0.5 1.6E+04 46 1E+08 119.883 230 SAFH 599 229 0 0.5 1.5E+04 45 9E+06 119.883 231 SAFH 606 230 0 0.5 1.4E+04 45 6.6E+06 119.883 232 SAFH 610 231 0 0.5 1.4E+04 46 1.6E+07 119.883 233 SAFH 612 232 0 0.5 1.2E+04 46 1.7E+07 119.883 234 SAFH 614 233 0 0.5 1.3E+04 45 7.1E+06 119.883 235 SAFH 617 234 0 0.5 1.2E+04 45 1.4E+07 119.883 236 SAFH 618 235 0 0.5 1.1E+04 46 5.3E+06 119.883 237 SAFH 623 236 0 0.5 1.2E+04 46 3E+06 119.883 238 SAFH 626 237 0 0.5 1.4E+04 46 3.8E+08 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 627 238 0 0.5 1.2E+04 46 8.3E+06 119.883 240 SAFH 631 239 0 0.5 6.2E+04 44 5.1E+07 113.996 241 SAFH 632 240 0 0.5 0.049 44 2.6E+07 113.996 242 SAFH 633 241 0 0.5 5.8E+04 46 8E+06 119.883 243 SAFH 636 242 0 0.5 1.3E+04 46 1.2E+07 119.883 244 SAFH 638 243 0 0.5 9.4E+03 46 3.2E+07 119.883 245 SAFH 639 244 0 0.5 1E+04 46 5.8E+06 119.883 246 SAFH 641 245 0 0.5 1.1E+04 46 1.2E+07 119.883 247 SAFH 642 246 0 0.5 7.5E+03 46 1.6E+07 119.883 248 SAFH 643 247 0 0.5 1E+04 46 2.1E+07 119.883 249 SAFH 644 248 0 0.5 7.7E+03 46 7.9E+06 119.883 250 SAFH 646 249 0 0.5 1.4E+04 46 2.7E+06 119.883 251 SAFH 649 250 0 0.5 1.4E+04 46 6.5E+06 119.883 252 SAFH 654 251 0 0.5 1.6E+04 46 1.3E+07 119.883 253 SAFH 655 252 0 0.5 1.3E+04 46 6.4E+06 119.883 254 SAFH 658 253 0 0.5 1.4E+04 46 1E+07 119.883 255 SAFH 660 254 0 0.5 1.2E+04 46 9.7E+10 119.883 256 SAFH 661 255 0 0.5 9.2E+03 46 3E+06 119.883 257 SAFH 665 256 0 0.5 1.2E+04 45 3.2E+06 119.883 258 SAFH 668 257 0 0.5 1.3E+04 46 9E+06 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 669 258 0 0.5 9.3E+03 46 7.1E+06 119.883 260 SAFH 671 259 0 0.5 1.2E+04 46 4.9E+10 119.883 261 SAFH 672 260 0 0.5 8.5E+03 46 2.4E+10 119.883 262 SAFH 673 261 0 0.5 1.3E+04 43 4.5E+06 113.399 263 SAFH 675 262 0 0.5 1.1E+04 46 2.3E+06 119.883 264 SAFH 682 263 0 0.5 1.2E+04 46 5.7E+06 119.883 265 SAFH 683 264 0 0.5 1.4E+04 46 6.4E+06 119.883 266 SAFH 684 265 0 0.5 1.2E+04 46 4.5E+06 119.883 267 SAFH 685 266 0 0.5 1.1E+04 46 4E+06 119.883 268 SAFH 686 267 0 0.5 1.6E+04 44 3.6E+06 116.572 269 SAFH 688 268 0 0.5 1.7E+04 45 5.2E+06 119.883 270 SAFH 691 269 0 0.5 1.6E+04 46 1.2E+10 119.883 271 SAFH 692 270 0 0.5 8.6E+03 46 3.3E+06 119.883 272 SAFH 694 271 0 0.5 1.5E+04 46 2.9E+06 119.883 273 SAFH 698 272 0 0.5 1.3E+04 45 4E+06 119.883 274 SAFH 700 273 0 0.5 1.3E+04 46 1.6E+06 119.883 275 SAFH 706 274 0 0.5 1.4E+04 46 1.2E+06 119.883 276 SAFH 714 275 0 0.5 1.6E+04 46 3.3E+07 119.883 277 SAFH 715 276 0 0.5 9.1E+03 46 1.7E+07 119.883 278 SAFH 716 277 0 0.5 1E+04 46 6.1E+09 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 717 278 0 0.5 1.3E+04 46 1.3E+06 119.883 280 SAFH 720 279 0 0.5 1.1E+04 46 8.3E+06 119.883 281 SAFH 721 280 0 0.5 9.7E+03 46 4.1E+06 119.883 282 SAFH 723 281 0 0.5 1.3E+04 46 1.9E+08 119.883 283 SAFH 724 282 0 0.5 9.6E+03 45 1.6E+07 119.883 284 SAFH 725 283 0 0.5 9.4E+03 46 7.7E+06 119.883 285 SAFH 726 284 0 0.5 9.8E+03 46 8E+06 119.883 286 SAFH 727 285 0 0.5 1.2E+04 46 4E+06 119.883 287 SAFH 729 286 0 0.5 9.2E+03 46 2E+06 119.883 288 SAFH 731 287 0 0.5 1.3E+04 45 3E+09 119.883 289 SAFH 732 288 0 0.5 8E+03 46 2E+06 119.883 290 SAFH 735 289 0 0.5 1.5E+04 46 8.3E+05 119.883 291 SAFH 743 290 0 0.5 6.3E+04 44 2.9E+06 115.993 292 SAFH 745 291 0 0.5 6E+04 45 1.4E+06 119.883 293 SAFH 747 292 0 0.5 1.2E+04 44 2.1E+06 119.883 294 SAFH 748 293 0 0.5 1.5E+04 46 7.5E+05 119.883 295 SAFH 752 294 0 0.5 1.5E+04 46 2.1E+06 119.883 296 SAFH 753 295 0 0.5 1.7E+04 45 3.2E+06 119.883 297 SAFH 754 296 0 0.5 1.2E+04 46 3.8E+06 119.883 298 SAFH 755 297 0 0.5 1.2E+04 46 1.1E+06 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 756 298 0 0.5 1.1E+04 46 1E+06 119.883 300 SAFH 760 299 0 0.5 1.2E+04 46 4.2E+05 119.883 301 SAFH 766 300 0 0.5 1.2E+04 45 8.9E+05 119.883 302 SAFH 767 301 0 0.5 1.2E+04 45 1.6E+06 119.883 303 SAFH 768 302 0 0.5 8.9E+03 46 8.2E+05 119.883 304 SAFH 770 303 0 0.5 1E+04 46 4.1E+05 119.883 305 SAFH 774 304 0 0.5 1.3E+04 46 8E+05 119.883 306 SAFH 775 305 0 0.5 1.1E+04 46 7.1E+05 119.883 307 SAFH 776 306 0 0.5 1.2E+04 45 3.3E+05 119.883 308 SAFH 779 307 0 0.5 1.6E+04 45 1.1E+06 119.883 309 SAFH 782 308 0 0.5 9.2E+03 44 1E+06 117.886 310 SAFH 783 309 0 0.5 1.2E+04 45 5.6E+05 116.099 311 SAFH 787 310 0 0.5 1.4E+04 45 5.7E+05 119.883 312 SAFH 790 311 0 0.5 1.2E+04 45 1.4E+06 119.883 313 SAFH 791 312 0 0.5 1.1E+04 45 1.5E+09 119.883 314 SAFH 792 313 0 0.5 0.0015 45 7.6E+08 119.883 315 SAFH 793 314 0 0.5 1.1E+04 46 1.6E+06 119.883 316 SAFH 794 315 0 0.5 1.1E+04 46 3.8E+08 119.883 317 SAFH 795 316 0 0.5 9.6E+03 46 2.8E+05 119.883 318 SAFH 802 317 0 0.5 1.8E+04 45 9.5E+07 117.659 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 803 318 0 0.5 9.2E+03 45 1.9E+06 117.659 320 SAFH 805 319 0 0.5 1.2E+04 45 5E+05 119.883 321 SAFH 807 320 0 0.5 1.3E+04 45 1.3E+06 119.883 322 SAFH 808 321 0 0.5 9.6E+03 46 5.2E+05 119.883 323 SAFH 809 322 0 0.5 1.1E+04 46 7.2E+05 119.883 324 SAFH 811 323 0 0.5 8.3E+03 46 3.6E+05 119.883 325 SAFG 814 324 0 0.5 6.1E+04 0 9.1E-13 117.659 325 FOUND SOLUTION: 117.659 (NLP) in 59 sec. 326 SAFH 814 324 0 0.5 4.9E+04 44 4.7E+05 117.659 327 SAFH 816 325 0 0.5 1.1E+04 46 8E+05 119.883 328 SAFH 817 326 0 0.5 1.2E+04 46 2.3E+05 119.883 329 SAFH 821 327 0 0.5 1.1E+04 46 5E+05 119.883 330 SAFH 823 328 0 0.5 1.1E+04 45 1.3E+10 119.883 331 SAFH 824 329 0 0.5 4.3E+03 46 6.7E+09 119.883 332 SAFH 825 330 0 0.5 4.3E+03 45 3.3E+09 119.883 333 SAFH 826 331 0 0.5 4.3E+03 46 1.7E+09 119.883 334 SAFH 827 332 0 0.5 4.2E+03 45 8.4E+08 119.883 335 SAFH 828 333 0 0.5 1.2E+04 46 4.5E+05 119.883 336 SAFH 830 334 0 0.5 1.1E+04 46 4E+05 119.883 337 SAFH 831 335 0 0.5 1.2E+04 46 1.6E+05 119.883 338 SAFH 839 336 0 0.5 1.6E+04 44 6.5E+05 114.083 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 840 337 0 0.5 1.2E+04 46 5E+05 119.883 340 SAFH 842 338 0 0.5 1.2E+04 46 3.8E+05 119.883 341 SAFH 846 339 0 0.5 1.1E+04 46 2.2E+05 119.883 342 SAFH 850 340 0 0.5 1.3E+04 45 3.2E+05 119.883 343 SAFH 853 341 0 0.5 1.2E+04 46 3.3E+05 119.883 344 SAFH 854 342 0 0.5 9.7E+03 44 3.6E+05 114.663 345 SAFH 855 343 0 0.5 1.2E+04 45 1E+05 117.151 346 SAFH 862 344 0 0.5 1.3E+04 46 1E+05 119.883 347 SAFH 866 345 0 0.5 1.4E+04 46 1.2E+05 119.883 348 SAFH 868 346 0 0.5 1.5E+04 46 1.8E+05 119.883 349 SAFH 872 347 0 0.5 1.3E+04 45 1E+06 119.883 350 SAFH 873 348 0 0.5 1.3E+04 46 2E+05 119.883 351 SAFH 875 349 0 0.5 1.1E+04 46 2.5E+05 119.883 352 SAFH 876 350 0 0.5 1.2E+04 46 2.2E+05 119.883 353 SAFH 878 351 0 0.5 1.5E+04 46 1.7E+05 119.883 354 SAFH 880 352 0 0.5 1.1E+04 46 5.2E+05 119.883 355 SAFH 881 353 0 0.5 7E+03 46 8.3E+04 119.883 356 SAFH 888 354 0 0.5 1.6E+04 45 1.2E+05 119.883 357 SAFG 889 355 0 0.5 5.6E+04 0 3.1E-13 117.183 357 FOUND SOLUTION: 117.183 (NLP) in 68 sec. 358 SAFH 889 355 0 0.5 4.8E+04 44 2.6E+05 117.183 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 890 356 0 0.5 1.6E+04 46 2.6E+05 119.883 360 SAFH 892 357 0 0.5 1.2E+04 46 1.2E+05 119.883 361 SAFH 897 358 0 0.5 1.6E+04 44 1.1E+05 117.394 362 SAFH 899 359 0 0.5 9E+03 45 5.1E+04 119.883 363 SAFH 905 360 0 0.5 8E+03 45 8.9E+04 119.883 364 SAFH 907 361 0 0.5 1.1E+04 45 1.3E+05 119.883 365 SAFH 908 362 0 0.5 1.2E+04 46 5E+04 119.883 366 SAFH 912 363 0 0.5 1.5E+04 45 1.2E+05 119.883 367 SAFH 914 364 0 0.5 1.4E+04 46 6.2E+04 119.883 368 SAFH 918 365 0 0.5 1.4E+04 46 2.3E+04 119.883 369 SAFH 926 366 0 0.5 1.3E+04 46 7E+04 119.883 370 SAFG 929 367 0 0.5 5.6E+04 0 0 116.315 370 FOUND SOLUTION: 116.315 (NLP) in 72 sec. 371 SAFH 929 367 0 0.5 5E+04 45 1E+05 116.315 372 SAFH 930 368 0 0.5 9.4E+03 46 5E+04 119.883 373 SAFH 937 369 0 0.5 1.5E+04 46 4.5E+04 119.883 374 SAFH 940 370 0 0.5 1.1E+04 46 2.1E+04 119.883 375 SAFH 948 371 0 0.5 1.3E+04 46 4.7E+07 119.883 376 SAFH 949 372 0 0.5 9E+03 45 2.4E+07 119.883 377 SAFH 950 373 0 0.5 0.26 45 1.2E+07 119.883 378 SAFH 951 374 0 0.5 0.53 45 5.9E+06 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 952 375 0 0.5 1.1 45 3E+06 119.883 380 SAFH 953 376 0 0.5 7.9E+03 46 1E+05 119.883 381 SAFH 954 377 0 0.5 9.4E+03 46 1.5E+06 119.883 382 SAFH 955 378 0 0.5 9.9E+03 45 8E+04 119.883 383 SAFH 957 379 0 0.5 1.4E+04 45 2.6E+04 116.905 384 SAFH 959 380 0 0.5 1E+04 46 3.1E+04 119.883 385 SAFH 960 381 0 0.5 1.3E+04 45 4E+04 119.883 386 SAFH 962 382 0 0.5 1.1E+04 46 2.7E+04 119.883 387 SAFH 966 383 0 0.5 1.4E+04 46 5E+04 119.883 388 SAFH 967 384 0 0.5 1.3E+04 45 2.3E+04 119.883 389 SAFH 969 385 0 0.5 1.1E+04 46 3.5E+04 119.883 390 SAFH 970 386 0 0.5 1.2E+04 44 9.6E+05 115.397 391 SAFG 971 387 0 0.5 5.6E+04 0 1.8E-12 115.397 391 FOUND SOLUTION: 115.397 (NLP) in 78 sec. 392 SAFH 971 387 0 0.5 4.9E+04 44 4E+04 115.397 393 SAFH 974 388 0 0.5 1.3E+04 46 2E+04 119.883 394 SAFH 980 389 0 0.5 1.4E+04 46 2.2E+04 119.883 395 SAFH 985 390 0 0.5 1.4E+04 45 9.8E+03 119.883 396 SAFH 994 391 0 0.5 1.5E+04 45 4.4E+04 119.883 397 SAFH 995 392 0 0.5 1.1E+04 45 2E+04 119.883 398 SAFH 997 393 0 0.5 1.3E+04 45 1.1E+05 119.883 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 998 394 0 0.5 1.1E+04 46 2.5E+04 119.883 400 SAFH 1001 395 0 0.5 1.2E+04 44 1.5E+04 113.872 401 SAFH 1004 396 0 0.3 6.5E+04 37 1.4E+04 85.849 402 SAFH 1006 397 0 0.3 6.2E+04 44 9.8E+03 108.714 403 SAFH 1008 398 0 0.3 6E+04 41 6.2E+03 97.8506 404 SAFH 1013 399 0 0.3 6.3E+04 44 8.8E+03 111.58 405 SAFH 1014 400 0 0.3 6E+04 32 3.2E+04 74.8571 406 SAFG 1015 401 0 0.3 5.5E+04 0 7.7E-12 97.6227 406 FOUND SOLUTION: 97.6227 (NLP) in 97 sec. 407 SAFH 1015 401 0 0.3 4.3E+04 40 5.6E+03 97.6227 408 SAFG 1017 402 0 0.3 5.3E+04 0 1.1E-12 94.3117 408 FOUND SOLUTION: 94.3117 (NLP) in 103 sec. 409 SAFH 1017 402 0 0.3 4.7E+04 39 1.1E+04 94.3117 410 SAFH 1018 403 0 0.3 5.8E+04 41 5.6E+03 97.3234 411 SAFH 1022 404 0 0.3 6.2E+04 34 1.4E+04 78.6595 412 SAFH 1024 405 0 0.3 6.2E+04 38 7E+03 91.5485 413 SAFH 1030 406 0 0.3 5.6E+04 41 4E+03 97.8185 414 SAFH 1036 407 0 0.3 5.3E+04 43 4.2E+08 104.473 415 SAFH 1037 408 0 0.3 5.9E+04 38 1E+04 89.392 416 SAFH 1041 409 0 0.3 6E+04 44 7.4E+05 111.58 417 SAFH 1043 410 0 0.3 6.4E+04 44 2.7E+03 108.011 418 SAFH 1047 411 0 0.3 6.1E+04 41 2.4E+05 96.9216 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 1048 412 0 0.3 4.3E+04 38 5.7E+03 89.4353 420 SAFH 1050 413 0 0.3 6.1E+04 43 3.2E+10 104.059 421 SAFH 1051 414 0 0.3 6E+04 37 3.3E+03 88.6328 422 SAFH 1056 415 0 0.3 6.2E+04 35 1.7E+04 86.1621 423 SAFH 1057 416 0 0.3 5.2E+04 31 6.5E+03 74.2684 424 SAFH 1059 417 0 0.3 6.1E+04 39 1.6E+10 92.0356 425 SAFH 1060 418 0 0.3 4E+04 41 8.1E+09 97.3417 426 SAFH 1061 419 0 0.3 6.1E+04 44 1.7E+03 110.708 427 SAFH 1068 420 0 0.3 6E+04 41 4E+09 96.7508 428 SAFH 1069 421 0 0.3 4.3E+04 39 2E+09 90.5798 429 SAFH 1070 422 0 0.3 5.1E+04 39 2.9E+03 90.7035 430 SAFH 1074 423 0 0.3 6.1E+04 40 1E+09 94.2625 431 SAFH 1075 424 0 0.3 5.9E+04 41 5.1E+08 97.9826 432 SAFH 1076 425 0 0.3 6.4E+04 32 3.7E+03 75.4484 433 SAFH 1082 426 0 0.3 6.2E+04 40 2.1E+08 97.7206 434 SAFH 1083 427 0 0.3 5.2E+04 41 2.7E+03 100.95 435 SAFH 1085 428 0 0.3 6E+04 44 1E+03 106.925 436 SAFH 1093 429 0 0.3 3.5E+04 36 1.2E+04 87.9569 437 SAFH 1094 430 0 0.3 5.8E+04 44 1.2E+03 107.697 438 SAFH 1096 431 0 0.3 5.7E+04 40 3E+03 95.2912 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 1100 432 0 0.3 5.6E+04 34 1.9E+03 77.5573 440 SAFH 1108 433 0 0.3 4.7E+04 39 8.3E+03 90.456 441 SAFH 1109 434 0 0.3 4.5E+04 40 2.8E+03 99.7881 442 SAFH 1112 435 0 0.3 6.1E+04 35 2E+03 80.7225 443 SAFH 1117 436 0 0.3 5.9E+04 45 6E+02 111.364 444 SAFH 1128 437 0 0.3 5.8E+04 41 1.5E+03 97.8793 445 SAFH 1133 438 0 0.3 5.8E+04 35 1.8E+03 81.5572 446 SAFH 1135 439 0 0.3 4.7E+04 33 1.3E+03 77.709 447 SAFH 1140 440 0 0.3 6E+04 42 8.2E+02 100.818 448 SAFH 1149 441 0 0.3 5.5E+04 41 2.5E+08 100.397 449 SAFH 1150 442 0 0.3 5.6E+04 44 5.6E+02 111.48 450 SAFH 1160 443 0 0.3 5.8E+04 46 6.6E+02 114.376 451 SAFH 1163 444 0 0.3 5.2E+04 41 4.3E+02 99.0918 452 SAFH 1173 445 0 0.3 5.2E+04 41 1.4E+03 100.847 453 SAFH 1174 446 0 0.3 4.1E+04 38 7.1E+02 91.4303 454 SAFH 1179 447 0 0.3 5E+04 38 1.2E+03 98.3097 455 SAFH 1180 448 0 0.3 4.3E+04 33 2.6E+02 79.6961 456 SAFH 1187 449 0 0.3 5.8E+04 42 3.2E+02 111.437 457 SAFH 1201 450 0 0.3 5.4E+04 43 2.6E+02 115.148 458 SAFH 1212 451 0 0.3 5.7E+04 31 7.5E+02 79.1668 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 1213 452 0 0.3 2E+04 33 1.5E+02 80.4694 460 SAFH 1226 453 0 0.3 4.9E+04 39 1.8E+02 105.047 461 SAFH 1234 454 0 0.3 4.7E+04 41 1.4E+03 104.318 462 SAFH 1236 455 0 0.3 4.8E+04 42 3.2E+02 107.77 463 SAFH 1239 456 0 0.3 4.3E+04 30 3.4E+02 80.625 464 SAFH 1244 457 0 0.3 4.9E+04 43 1.6E+02 111.732 465 SAFH 1254 458 0 0.3 5.3E+04 40 1.7E+02 105.997 466 SAFH 1258 459 0 0.3 4.8E+04 42 1.2E+02 111.697 467 SAFH 1267 460 0 0.3 4.5E+04 37 1.1E+02 96.2916 468 SAFH 1269 461 0 0.3 4.2E+04 38 2.2E+02 101.38 469 SAFH 1270 462 0 0.3 4.6E+04 40 2.7E+02 100.891 470 SAFH 1272 463 0 0.3 4.6E+04 40 83 108.856 471 SAFH 1283 464 0 0.3 4.8E+04 32 2.9E+02 81.6551 472 SAFH 1285 465 0 0.3 1.7E+04 30 1E+02 80.6396 473 SAFH 1290 466 0 0.3 4.6E+04 43 85 115.46 474 SAFH 1294 467 0 0.3 4.7E+04 44 84 118.932 475 SAFH 1300 468 0 0.3 5E+04 42 5.7E+02 115.993 476 SAFH 1301 469 0 0.3 4.8E+04 37 6.1E+03 92.0986 477 SAFH 1302 470 0 0.3 5E+04 42 76 111.653 478 SAFH 1305 471 0 0.3 5E+04 39 2.2E+02 97.6746 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 1307 472 0 0.3 4.3E+04 41 5.5E+02 108.084 480 SAFH 1308 473 0 0.3 4.6E+04 40 48 108.856 481 SAFH 1322 474 0 0.3 4.9E+04 39 5.9E+02 97.7866 482 SAFH 1325 475 0 0.3 3.8E+04 38 2.3E+02 99.4014 483 SAFH 1326 476 0 0.3 4.8E+04 39 54 108.812 484 SAFH 1332 477 0 0.3 4.7E+04 41 40 112.325 485 SAFH 1342 478 0 0.3 4.6E+04 40 2.9E+02 104.947 486 SAFH 1343 479 0 0.3 3.3E+04 33 2.2E+02 85.1101 487 SAFH 1344 480 0 0.3 3.6E+04 38 4.4E+02 102.033 488 SAFH 1346 481 0 0.3 4.8E+04 41 71 107.796 489 SAFH 1347 482 0 0.3 4.7E+04 42 4.5E+02 106.881 490 SAFH 1348 483 0 0.3 3.9E+04 32 1.1E+02 81.6551 491 SAFH 1352 484 0 0.3 3.8E+04 42 2.5E+02 112.425 492 SAFH 1356 485 0 0.3 4.5E+04 34 1.1E+02 89.1861 493 SAFH 1362 486 0 0.3 4E+04 38 9.3E+02 101.479 494 SAFH 1363 487 0 0.3 4.6E+04 39 1.3E+02 96.7861 495 SAFH 1365 488 0 0.3 4.3E+04 39 2.9E+02 101.479 496 SAFH 1367 489 0 0.3 4.5E+04 41 36 112.425 497 SAFH 1374 490 0 0.3 4.7E+04 43 27 118.932 498 SAFH 1386 491 0 0.3 4.9E+04 43 26 115.148 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFG 1393 492 0 0.3 5.3E+04 0 4.5E-13 85.3065 499 FOUND SOLUTION: 85.3065 (NLP) in 350 sec. 500 SAFH 1393 492 0 0.3 7.5E+03 33 2.7E+03 85.3065 501 SAFH 1394 493 0 0.3 4.7E+04 38 88 98.1684 502 SAFH 1397 494 0 0.3 4.1E+04 41 40 104.616 503 SAFH 1406 495 0 0.3 4.8E+04 40 4.1E+02 105.145 504 SAFH 1407 496 0 0.3 4.2E+04 40 69 104.675 505 SAFH 1409 497 0 0.3 4.7E+04 38 37 106.781 506 SAFH 1412 498 0 0.3 4.8E+04 38 1.3E+02 99.6589 507 SAFH 1415 499 0 0.3 3.8E+04 39 81 103.226 508 SAFH 1418 500 0 0.3 4.5E+04 41 2.3E+02 108.856 509 SAFH 1420 501 0 0.3 4.1E+04 40 31 105.145 510 SAFG 1422 502 0 0.3 4.3E+04 0 7.5E-09 81.4022 510 FOUND SOLUTION: 81.4022 (NLP) in 383 sec. 511 SAFH 1422 502 0 0.3 1.3E+03 31 1.6E+02 81.4022 512 SAFH 1424 503 0 0.3 4E+04 39 1.1E+02 98.6995 513 SAFH 1427 504 0 0.3 4.5E+04 31 66 81.2774 514 SAFH 1430 505 0 0.3 9.2E+03 31 61 81.2774 515 SAFH 1433 506 0 0.3 3.6E+04 35 2.8E+02 93.9874 516 SAFH 1434 507 0 0.3 6.4E+02 35 82 93.9874 517 SAFH 1437 508 0 0.3 4.2E+04 32 4.3E+02 81.5572 518 SAFH 1438 509 0 0.3 4.6E+04 38 39 103.677 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 1444 510 0 0.3 5.1E+04 39 56 97.8166 520 SAFH 1447 511 0 0.3 4.1E+04 32 1E+02 80.4694 521 SAFH 1450 512 0 0.3 4E+04 43 1.5E+02 110.906 522 SAFH 1451 513 0 0.3 4.1E+04 43 30 110.906 523 SAFH 1454 514 0 0.3 4.7E+04 43 16 115.993 524 SAFH 1467 515 0 0.3 4.8E+04 38 43 99.7215 525 SAFH 1471 516 0 0.3 3.7E+04 38 3.3E+02 98.5631 526 SAFH 1472 517 0 0.3 3.7E+04 40 1.1E+03 98.9751 527 SAFH 1474 518 0 0.3 3.6E+04 34 2.2E+02 88.0666 528 SAFH 1475 519 0 0.3 4.1E+04 41 1.1E+02 108.758 529 SAFH 1476 520 0 0.3 3.6E+04 31 1.3E+02 81.2774 530 SAFH 1477 521 0 0.3 2.8E+04 36 35 93.0684 531 SAFH 1485 522 0 0.3 4.1E+04 40 1.5E+02 105.047 532 SAFH 1487 523 0 0.3 4.1E+04 41 1.9E+02 106.513 533 SAFH 1489 524 0 0.3 3.7E+04 40 48 105.78 534 SAFH 1494 525 0 0.3 4.2E+04 32 63 84.1893 535 SAFG 1498 526 0 0.3 3.3E+04 0 1.4E-08 81.2921 535 FOUND SOLUTION: 81.2921 (NLP) in 458 sec. 536 SAFH 1498 526 0 0.3 6.5E+02 31 58 81.2921 537 SAFH 1500 527 0 0.3 4.4E+04 40 14 105.091 538 SAFH 1510 528 0 0.3 4.4E+04 41 38 108.812 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 1513 529 0 0.3 3.7E+04 32 44 83.5125 540 SAFH 1520 530 0 0.3 4.2E+04 39 43 104.947 541 SAFH 1522 531 0 0.3 4.5E+04 32 1.3E+02 82.2265 542 SAFH 1523 532 0 0.3 4.8E+04 39 28 100.09 543 SAFH 1526 533 0 0.3 5.2E+04 39 1.6E+02 103.723 544 SAFH 1528 534 0 0.3 4.8E+04 39 16 102.702 545 SAFH 1542 535 0 0.3 3.5E+04 41 44 105.269 546 SAFH 1544 536 0 0.3 4.1E+04 43 1.6E+02 111.58 547 SAFH 1545 537 0 0.3 3.1E+04 45 2.1E+02 111.58 548 SAFH 1547 538 0 0.3 4.4E+04 43 39 111.58 549 SAFH 1548 539 0 0.3 4.6E+04 31 43 81.2774 550 SAFH 1551 540 0 0.3 3.4E+04 41 64 104.416 551 SAFH 1552 541 0 0.3 4.9E+04 43 24 118.932 552 SAFH 1554 542 0 0.3 4.9E+04 40 4.5E+02 101.463 553 SAFH 1555 543 0 0.3 4.2E+04 39 1.9E+02 99.169 554 SAFH 1557 544 0 0.3 3.7E+04 32 35 81.6551 555 SAFH 1564 545 0 0.3 2E+04 31 29 81.2774 556 SAFH 1568 546 0 0.3 4.2E+04 43 1E+03 103.873 557 SAFH 1569 547 0 0.3 4.6E+04 41 13 104.2 558 SAFH 1579 548 0 0.3 4.7E+04 42 14 115.993 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 1585 549 0 0.3 4.9E+04 30 29 81.2921 560 SAFH 1587 550 0 0.3 3.9E+04 37 45 94.8043 561 SAFH 1588 551 0 0.3 4.5E+04 39 88 102.47 562 SAFH 1590 552 0 0.3 4.6E+04 41 32 104.158 563 SAFH 1594 553 0 0.3 4.5E+04 40 1.2E+03 105.047 564 SAFH 1595 554 0 0.3 4.5E+04 41 17 106.925 565 SAFH 1602 555 0 0.3 4.4E+04 31 1.2E+02 82.7466 566 SAFH 1603 556 0 0.3 2.9E+04 30 22 81.2774 567 SAFH 1609 557 0 0.3 5E+04 43 19 110.635 568 SAFH 1613 558 0 0.3 4.5E+04 41 1.4E+02 103.401 569 SAFH 1614 559 0 0.3 3.9E+04 30 20 81.2774 570 SAFH 1617 560 0 0.3 4.1E+04 35 12 101.428 571 SAFH 1623 561 0 0.3 4.4E+04 41 30 103.788 572 SAFH 1628 562 0 0.3 3.5E+04 38 47 96.3927 573 SAFH 1630 563 0 0.3 4.1E+04 38 22 103.875 574 SAFH 1633 564 0 0.3 4.3E+04 39 43 100.299 575 SAFH 1635 565 0 0.3 4.4E+04 40 33 105.19 576 SAFH 1637 566 0 0.3 4.7E+04 42 8 115.993 577 SAFH 1644 567 0 0.3 5.1E+04 36 1.2E+02 92.6109 578 SAFH 1648 568 0 0.3 3.9E+04 36 12 96.8658 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 1657 569 0 0.3 4.2E+04 40 11 108.758 580 SAFH 1662 570 0 0.3 4.9E+04 42 12 110.635 581 SAFH 1668 571 0 0.3 5.1E+04 33 73 83.9438 582 SAFH 1669 572 0 0.3 2.7E+04 30 9.6 81.2774 583 SAFH 1679 573 0 0.3 4.9E+04 43 26 111.437 584 SAFH 1681 574 0 0.3 4.5E+04 45 10 118.087 585 SAFH 1687 575 0 0.3 4.8E+04 41 37 105.091 586 SAFH 1690 576 0 0.3 4.1E+04 38 8.8 100.759 587 SAFH 1697 577 0 0.3 4E+04 30 17 81.2921 588 SAFH 1701 578 0 0.3 4.2E+04 39 3.2E+02 101.621 589 SAFH 1702 579 0 0.3 3.6E+04 37 19 92.9495 590 SAFH 1706 580 0 0.3 4.2E+04 39 31 102.213 591 SAFH 1709 581 0 0.3 3.7E+04 40 55 109.546 592 SAFH 1712 582 0 0.3 4.7E+04 40 9.1 108.758 593 SAFH 1717 583 0 0.3 4.9E+04 44 38 114.376 594 SAFH 1719 584 0 0.3 4.2E+04 36 16 93.6339 595 SAFH 1724 585 0 0.3 3E+04 37 77 98.4467 596 SAFH 1726 586 0 0.3 4.3E+04 38 10 101.879 597 SAFH 1731 587 0 0.3 4.8E+04 43 28 115.993 598 SAFH 1733 588 0 0.3 4.6E+04 41 27 108.425 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 1738 589 0 0.3 4.2E+04 38 13 103.058 600 SAFH 1744 590 0 0.3 4.4E+04 43 70 111.751 601 SAFH 1746 591 0 0.3 4.5E+04 43 7.8 111.58 602 SAFH 1752 592 0 0.3 4.9E+04 30 37 81.2774 603 SAFH 1753 593 0 0.3 5.1E+04 42 9.4 115.264 604 SAFH 1756 594 0 0.3 4.5E+04 41 8.8 112.209 605 SAFH 1757 595 0 0.3 4.7E+04 47 2E+02 118.932 606 SAFG 1759 596 0 0.3 4E+04 0 6.1E-09 81.2774 606 FOUND SOLUTION: 81.2774 (NLP) in 699 sec. 607 SAFH 1759 596 0 0.3 1.6E+02 30 8.5 81.2774 608 SAFH 1767 597 0 0.3 9.7E+03 30 15 80.6678 609 SAFH 1770 598 0 0.3 5.2E+04 43 6.2 114.376 610 SAFH 1780 599 0 0.3 5.2E+04 39 1.3E+02 102.459 611 SAFH 1781 600 0 0.3 4.1E+04 42 60 109.824 612 SAFH 1784 601 0 0.3 3.7E+04 41 21 108.658 613 SAFH 1789 602 0 0.3 4.6E+04 41 6.1 111.553 614 SAFH 1794 603 0 0.3 4.7E+04 38 27 101.523 615 SAFH 1795 604 0 0.3 73 38 12 101.523 616 SAFH 1797 605 0 0.3 3.9E+04 29 14 81.2921 617 SAFH 1798 606 0 0.3 4.4E+04 41 9.3 104.858 618 SAFH 1802 607 0 0.3 4.7E+04 40 18 98.0686 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 1809 608 0 0.3 4.9E+04 42 5.1 110.592 620 SAFH 1819 609 0 0.3 4.6E+04 30 16 84.3351 621 SAFH 1820 610 0 0.3 4.4E+04 41 4E+02 108.011 622 SAFH 1821 611 0 0.3 4.6E+04 40 7 112.523 623 SAFH 1824 612 0 0.3 4.6E+04 33 4.6E+02 84.037 624 SAFH 1825 613 0 0.3 3.5E+04 38 1.6E+02 102.589 625 SAFH 1826 614 0 0.3 2E+03 38 73 102.589 626 SAFH 1828 615 0 0.3 3.5E+04 36 32 87.5984 627 SAFH 1830 616 0 0.3 2.9E+04 41 29 97.5498 628 SAFH 1833 617 0 0.3 3.8E+04 37 13 95.6425 629 SAFH 1836 618 0 0.3 4.3E+04 39 5.1 105.091 630 SAFH 1844 619 0 0.3 4.8E+04 44 6 118.932 631 SAFH 1850 620 0 0.3 5.3E+04 30 10 81.2774 632 SAFH 1853 621 0 0.3 3.7E+04 41 21 101.621 633 SAFH 1854 622 0 0.3 3.5E+04 37 7.7 101.621 634 SAFG 1857 623 0 0.3 4.2E+04 0 1.5E-08 80.6678 634 FOUND SOLUTION: 80.6678 (NLP) in 806 sec. 635 SAFH 1857 623 0 0.3 1.4E+03 30 15 80.6678 636 SAFH 1860 624 0 0.3 8.6E+02 30 6.4 80.6678 637 SAFH 1869 625 0 0.3 4.3E+04 40 3.6 108.758 638 SAFH 1877 626 0 0.3 4.6E+04 40 6.5 107.697 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 1884 627 0 0.3 5.2E+04 34 8.7 81.6551 640 SAFH 1897 628 0 0.3 2.8E+04 34 6.4 97.2685 641 SAFH 1902 629 0 0.3 3.7E+04 36 11 93.8858 642 SAFH 1903 630 0 0.3 3.5E+04 40 28 105.236 643 SAFH 1906 631 0 0.3 3.1E+04 39 28 102.764 644 SAFH 1911 632 0 0.3 4.3E+04 37 14 97.5038 645 SAFH 1912 633 0 0.3 3.8E+04 35 8.3 84.3351 646 SAFH 1920 634 0 0.3 3.5E+04 38 9.9 98.4364 647 SAFH 1925 635 0 0.3 4.3E+04 39 7 105.7 648 SAFH 1931 636 0 0.3 4.1E+04 30 7.6 81.2921 649 SAFH 1935 637 0 0.3 3.2E+04 43 43 112.425 650 SAFH 1936 638 0 0.3 4.3E+04 42 12 110.925 651 SAFH 1937 639 0 0.3 4E+04 36 11 101.577 652 SAFH 1939 640 0 0.3 3.6E+04 43 32 104.459 653 SAFH 1940 641 0 0.3 4.3E+04 43 3.9E+02 111.697 654 SAFH 1941 642 0 0.3 4.1E+04 39 3.2 108.758 655 SAFH 1952 643 0 0.3 4.8E+04 44 3.2 118.087 656 SAFH 1963 644 0 0.3 4.5E+04 40 6 104.443 657 SAFH 1966 645 0 0.3 4.6E+04 44 6.9 115.221 658 SAFH 1971 646 0 0.3 4.5E+04 41 4.3 108.011 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 1979 647 0 0.3 4.3E+04 38 5 101.386 660 SAFH 1983 648 0 0.3 2.2E+04 37 5.3 101.523 661 SAFH 1987 649 0 0.3 4.4E+04 32 10 81.6551 662 SAFH 1990 650 0 0.3 3.2E+04 41 20 101.895 663 SAFH 1994 651 0 0.3 4.2E+04 39 22 102.667 664 SAFH 1997 652 0 0.3 4.1E+04 43 8.8 108.658 665 SAFH 1999 653 0 0.3 4.1E+04 40 1.3E+02 104.812 666 SAFH 2000 654 0 0.3 4.4E+04 32 1.8E+02 84.5854 667 SAFH 2001 655 0 0.3 5.2E+04 44 4 118.087 668 SAFH 2011 656 0 0.3 5.2E+04 37 20 95.7657 669 SAFH 2013 657 0 0.3 4.6E+04 41 3.7 111.58 670 SAFH 2022 658 0 0.3 8.5E+03 42 2.4 111.697 671 SAFH 2032 659 0 0.3 4.5E+04 38 45 94.5625 672 SAFH 2034 660 0 0.3 3.1E+04 29 4.2 81.2774 673 SAFH 2039 661 0 0.3 1.8E+04 30 39 81.4751 674 SAFH 2041 662 0 0.3 3E+04 43 12 108.856 675 SAFH 2046 663 0 0.3 3.4E+04 30 7.4 80.6678 676 SAFH 2049 664 0 0.3 2E+04 30 6.8 81.2921 677 SAFH 2054 665 0 0.3 4.1E+04 38 3.5 102.847 678 SAFH 2061 666 0 0.3 4.4E+04 32 7.7 81.6551 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 2066 667 0 0.3 2.2E+04 30 5.1 81.321 680 SAFH 2074 668 0 0.3 4.7E+04 41 4.3 111.023 681 SAFH 2079 669 0 0.3 4.5E+04 39 2.8 101.261 682 SAFH 2091 670 0 0.3 3.7E+04 30 8.5 81.5572 683 SAFH 2094 671 0 0.3 2.5E+04 32 2.1 81.2774 684 SAFH 2107 672 0 0.3 3.8E+04 42 2.3E+02 108.856 685 SAFH 2108 673 0 0.3 3.3E+04 30 5.5 80.6678 686 SAFH 2112 674 0 0.3 2E+04 31 67 84.7721 687 SAFH 2113 675 0 0.3 3.6E+04 39 37 104.828 688 SAFH 2114 676 0 0.3 4.4E+04 38 2.4 108.227 689 SAFH 2124 677 0 0.3 4E+04 33 95 84.2622 690 SAFH 2125 678 0 0.3 3.7E+04 38 3.2 102.033 691 SAFH 2130 679 0 0.3 3.9E+04 38 13 105.288 692 SAFH 2132 680 0 0.3 3.8E+04 30 16 81.4022 693 SAFH 2134 681 0 0.3 2.5E+04 31 5.3 81.2774 694 SAFH 2138 682 0 0.3 3.7E+04 39 67 101.621 695 SAFH 2140 683 0 0.3 4E+04 30 4 81.2921 696 SAFH 2145 684 0 0.3 3.8E+04 45 3.8 110.906 697 SAFH 2152 685 0 0.3 4.2E+04 41 17 105.19 698 SAFH 2153 686 0 0.3 3.5E+04 31 32 84.347 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 2154 687 0 0.3 2.1E+04 31 4.7 81.2774 700 SAFH 2157 688 0 0.3 5.2E+04 43 2.1 115.264 701 SAFH 2167 689 0 0.3 5E+04 38 14 99.4331 702 SAFH 2168 690 0 0.3 4.3E+04 41 2.1 104.318 703 SAFH 2177 691 0 0.3 4.2E+04 42 11 105.715 704 SAFH 2180 692 0 0.3 3.6E+04 41 14 102.8 705 SAFH 2184 693 0 0.3 3.6E+04 33 3.1 80.6678 706 SAFH 2189 694 0 0.3 2.2E+04 30 20 81.2921 707 SAFH 2190 695 0 0.3 1.5E+03 30 6.4 81.2921 708 SAFH 2196 696 0 0.3 4.3E+04 40 1.1E+02 104.202 709 SAFH 2197 697 0 0.3 3.3E+04 41 1.7E+02 104.202 710 SAFH 2198 698 0 0.3 4.3E+04 30 14 81.2774 711 SAFH 2199 699 0 0.3 3.3E+04 42 13 112.425 712 SAFH 2200 700 0 0.3 3.6E+04 39 7.1 97.9299 713 SAFH 2201 701 0 0.3 3.8E+04 30 2.7 80.6678 714 SAFH 2206 702 0 0.3 1.7E+04 30 2.4 81.2774 715 SAFH 2210 703 0 0.3 2E+04 35 4.2 85.7367 716 SAFH 2215 704 0 0.3 1.7E+04 30 2.4 81.2774 717 SAFH 2223 705 0 0.3 4.1E+04 39 6.3 105.19 718 SAFH 2225 706 0 0.3 4.4E+04 44 8.4 108.111 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 2228 707 0 0.3 4.2E+04 43 1.5E+02 110.925 720 SAFH 2229 708 0 0.3 4.1E+04 31 4.4 81.2921 721 SAFH 2231 709 0 0.3 4.3E+04 40 10 105.288 722 SAFH 2232 710 0 0.3 4E+04 36 6 96.845 723 SAFH 2235 711 0 0.3 3.6E+04 40 3.8 106.668 724 SAFH 2240 712 0 0.3 4E+04 39 3.9 101.101 725 SAFH 2246 713 0 0.3 3.7E+04 31 13 85.7386 726 SAFH 2247 714 0 0.3 4.9E+02 32 3.8 85.7386 727 SAFH 2253 715 0 0.3 1.8E+04 32 5.7 82.3302 728 SAFH 2258 716 0 0.3 3.6E+04 46 7.6 114.376 729 SAFH 2263 717 0 0.3 4.3E+04 43 4.5 104.972 730 SAFH 2268 718 0 0.3 4.2E+04 40 2.1 108.758 731 SAFH 2275 719 0 0.3 3.9E+04 32 2.8 84.992 732 SAFH 2282 720 0 0.3 2.7E+04 30 1.8 81.39 733 SAFH 2298 721 0 0.3 4.6E+04 38 2.1 102.702 734 SAFH 2306 722 0 0.3 4.6E+04 42 2.4 115.993 735 SAFH 2311 723 0 0.3 4.9E+04 40 4.8 102.483 736 SAFH 2314 724 0 0.3 3.7E+04 30 47 82.2136 737 SAFH 2315 725 0 0.3 6.8E+03 30 62 82.2136 738 SAFH 2316 726 0 0.3 4.8E+04 41 1.4 112.425 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 2326 727 0 0.3 4.5E+04 38 2.1 108.856 740 SAFH 2330 728 0 0.3 4.9E+04 31 2.3 81.2921 741 SAFH 2339 729 0 0.3 1.9E+04 30 2.6 81.2774 742 SAFH 2342 730 0 0.3 3.4E+04 38 1.8 99.2166 743 SAFH 2352 731 0 0.3 4E+04 36 13 92.923 744 SAFH 2354 732 0 0.3 3.9E+04 32 5.7 81.2921 745 SAFH 2355 733 0 0.3 4.4E+04 41 1.2 112.425 746 SAFH 2365 734 0 0.3 4.6E+04 36 11 99.3483 747 SAFH 2367 735 0 0.3 4.1E+04 38 59 105.288 748 SAFH 2369 736 0 0.3 4.7E+04 42 2.9 115.993 749 SAFH 2372 737 0 0.3 4.9E+04 31 41 87.3021 750 SAFH 2373 738 0 0.3 4.1E+04 38 3.2 100.634 751 SAFH 2379 739 0 0.3 4E+04 29 3.4 81.2774 752 SAFH 2382 740 0 0.3 4.2E+04 39 5.4 101.714 753 SAFH 2384 741 0 0.3 2.1E+04 40 4.1 104.928 754 SAFH 2387 742 0 0.3 3.8E+04 41 6.1 98.7724 755 SAFH 2390 743 0 0.3 3.9E+04 40 18 100.849 756 SAFH 2391 744 0 0.3 3.9E+04 37 4.7 99.8223 757 SAFH 2393 745 0 0.3 4.6E+04 40 1.5 108.758 758 SAFH 2398 746 0 0.3 4.5E+04 38 2.1 101.879 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 2401 747 0 0.3 4.1E+04 30 2 81.2774 760 SAFH 2409 748 0 0.3 3.1E+04 41 7.5 102.131 761 SAFH 2413 749 0 0.3 4.3E+04 39 1.9 105.547 762 SAFH 2417 750 0 0.3 4.5E+04 42 1E+02 107.77 763 SAFH 2419 751 0 0.3 3.2E+04 29 1.3 81.39 764 SAFH 2424 752 0 0.3 3.7E+04 43 13 112.425 765 SAFH 2426 753 0 0.3 4.5E+04 41 1.7E+02 103.94 766 SAFH 2427 754 0 0.3 2.8E+04 40 3.3E+02 103.94 767 SAFH 2428 755 0 0.3 4.4E+03 40 93 103.94 768 SAFH 2429 756 0 0.3 4.3E+03 40 22 103.94 769 SAFH 2430 757 0 0.3 4.3E+04 41 1.8 111.48 770 SAFH 2436 758 0 0.3 4.1E+04 39 39 99.8438 771 SAFH 2437 759 0 0.3 7.1E+03 38 7.8 99.8438 772 SAFH 2440 760 0 0.3 3.8E+04 29 1.3 81.39 773 SAFH 2442 761 0 0.3 3.6E+04 38 8 105.026 774 SAFH 2443 762 0 0.3 4.5E+04 40 1.6 108.714 775 SAFH 2452 763 0 0.3 4.4E+04 42 82 100.849 776 SAFH 2453 764 0 0.3 4.6E+03 42 23 100.849 777 SAFH 2454 765 0 0.3 3.4E+04 31 2.4 80.6678 778 SAFH 2458 766 0 0.3 2.2E+04 32 5.4 81.7206 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 2460 767 0 0.3 3.5E+04 38 4E+02 98.2622 780 SAFH 2461 768 0 0.3 3.5E+04 39 2.7 105.091 781 SAFH 2465 769 0 0.3 4.5E+04 42 1.2 115.993 782 SAFH 2477 770 0 0.3 4.5E+04 42 2.1 112.425 783 SAFH 2481 771 0 0.3 4.4E+04 42 2 111.697 784 SAFH 2483 772 0 0.3 4.4E+04 43 10 103.973 785 SAFH 2488 773 0 0.3 3.7E+04 30 1.5 81.2921 786 SAFH 2497 774 0 0.3 4.6E+04 40 9.5 107.122 787 SAFH 2498 775 0 0.3 4.7E+04 44 1.2 118.932 788 SAFH 2504 776 0 0.3 4.8E+04 44 29 114.376 789 SAFH 2505 777 0 0.3 5.3E+04 34 2E+02 89.1124 790 SAFH 2506 778 0 0.3 4.1E+04 38 1.5 105.091 791 SAFH 2510 779 0 0.3 4.5E+04 42 2.3 115.264 792 SAFH 2511 780 0 0.3 3.3E+02 42 1.1 115.264 793 SAFH 2521 781 0 0.3 5.2E+04 30 1.5 81.2921 794 SAFH 2528 782 0 0.3 4.9E+04 41 5.1 111.697 795 SAFH 2529 783 0 0.3 4.8E+04 29 3.3 81.3293 796 SAFH 2532 784 0 0.3 5.1E+04 44 3.3 118.087 797 SAFH 2533 785 0 0.3 5.3E+04 29 7.2 81.4022 798 SAFH 2535 786 0 0.3 4.8E+02 29 2.7 81.4022 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 2539 787 0 0.3 2.3E+04 29 0.43 81.39 800 SAFH 2550 788 0 0.3 4.9E+04 42 2.6 111.364 801 SAFH 2554 789 0 0.2 4.3E+04 35 8.5 89.8505 802 SAFH 2555 790 0 0.2 3.1E+04 29 1.2 81.2774 803 SAFH 2563 791 0 0.2 5E+04 42 4.3 110.906 804 SAFH 2565 792 0 0.2 4.8E+04 33 1.5 84.8731 805 SAFH 2572 793 0 0.2 4.3E+04 41 4.1 108.758 806 SAFH 2573 794 0 0.2 4.4E+04 45 14 115.993 807 SAFH 2574 795 0 0.2 3.5E+04 34 4.9 88.1491 808 SAFH 2577 796 0 0.2 4.2E+04 36 1.7 96.5223 809 SAFH 2581 797 0 0.2 4.1E+04 31 6.9 82.1472 810 SAFH 2583 798 0 0.2 2.3E+04 32 1.6 80.6678 811 SAFH 2590 799 0 0.2 4.2E+04 40 0.97 108.641 812 SAFH 2598 800 0 0.2 4.5E+04 40 2.4 108.758 813 SAFH 2600 801 0 0.2 4.3E+04 36 19 89.535 814 SAFH 2602 802 0 0.2 1.2E+03 36 7.7 89.535 815 SAFH 2604 803 0 0.2 3.4E+04 30 1.4 81.2921 816 SAFH 2610 804 0 0.2 2.7E+04 32 8.2 83.7461 817 SAFH 2612 805 0 0.2 2.7E+04 30 91 82.8482 818 SAFH 2613 806 0 0.2 3.9E+04 38 11 99.8438 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 2616 807 0 0.2 4.6E+04 43 5.5 115.148 820 SAFH 2618 808 0 0.2 4.8E+04 31 9.2 81.4751 821 SAFH 2619 809 0 0.2 2.1E+04 32 13 81.6551 822 SAFH 2620 810 0 0.2 2E+02 32 1.4 81.6551 823 SAFH 2627 811 0 0.2 2.4E+04 29 1.3 81.2774 824 SAFH 2634 812 0 0.2 3.1E+04 29 28 85.0451 825 SAFH 2635 813 0 0.2 1.2E+04 30 11 86.8222 826 SAFH 2637 814 0 0.2 3.2E+03 32 11 86.8222 827 SAFH 2639 815 0 0.2 4.3E+04 40 28 103.671 828 SAFH 2641 816 0 0.2 4.2E+04 39 4.6 108.084 829 SAFH 2642 817 0 0.2 4.4E+04 29 2.6 81.4022 830 SAFH 2645 818 0 0.2 2.1E+04 29 0.55 81.39 831 SAFH 2649 819 0 0.2 3.5E+04 34 2.5 90.793 832 SAFH 2652 820 0 0.2 3.3E+04 33 1.2 83.6659 833 SAFH 2661 821 0 0.2 3.4E+04 35 52 92.0677 834 SAFH 2662 822 0 0.2 4.5E+04 42 1.3 115.364 835 SAFH 2667 823 0 0.2 4.5E+04 42 1.7 110.925 836 SAFH 2673 824 0 0.2 4.4E+04 41 18 110.906 837 SAFH 2676 825 0 0.2 4.7E+04 43 5 114.419 838 SAFH 2677 826 0 0.2 4.8E+04 44 5.4 107.653 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 2681 827 0 0.2 3.9E+04 39 13 99.2118 840 SAFH 2684 828 0 0.2 4.2E+04 34 15 86.8431 841 SAFH 2686 829 0 0.2 3.9E+04 29 6.1 81.4751 842 SAFH 2687 830 0 0.2 2.7E+04 32 1.4 85.2534 843 SAFH 2697 831 0 0.2 1.8E+04 32 1.8 80.6678 844 SAFH 2703 832 0 0.2 2E+04 34 1.6 85.7367 845 SAFH 2708 833 0 0.2 3.4E+04 38 15 95.3333 846 SAFH 2710 834 0 0.2 3.2E+04 29 3.3 81.3576 847 SAFH 2713 835 0 0.2 3.4E+04 37 10 91.7971 848 SAFH 2714 836 0 0.2 2.8E+04 40 14 106.256 849 SAFH 2716 837 0 0.2 3.1E+04 32 2.3 92.2669 850 SAFH 2723 838 0 0.2 3.5E+04 33 17 88.9628 851 SAFH 2724 839 0 0.2 4.8E+04 44 4.5 118.203 852 SAFH 2725 840 0 0.2 4.8E+04 39 1.7 111.894 853 SAFH 2727 841 0 0.2 4.9E+04 38 3.1 95.9769 854 SAFH 2733 842 0 0.2 4.4E+04 40 1.1 108.758 855 SAFG 2742 843 0 0.2 4.5E+04 0 1.8E-08 80.4694 855 FOUND SOLUTION: 80.4694 (NLP) in 1964 sec. 856 SAFH 2742 843 0 0.2 15 31 0.85 80.4694 857 SAFH 2748 844 0 0.2 2.5E+04 32 3.2 82.2098 858 SAFH 2751 845 0 0.2 2E+04 31 1.2 80.6678 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 2755 846 0 0.2 3E+04 31 13 83.3188 860 SAFH 2756 847 0 0.2 3.5E+04 37 11 90.0716 861 SAFH 2757 848 0 0.2 4.7E+04 42 1 111.48 862 SAFH 2766 849 0 0.2 5E+04 33 1.8 82.0807 863 SAFH 2773 850 0 0.2 3.4E+04 29 1.4 82.0121 864 SAFH 2777 851 0 0.2 2.9E+04 31 15 81.5572 865 SAFH 2778 852 0 0.2 2.5E+04 28 3.7 80.6678 866 SAFH 2779 853 0 0.2 2.9E+04 29 4.2 82.4453 867 SAFH 2783 854 0 0.2 4.4E+04 43 1.6 115.364 868 SAFH 2789 855 0 0.2 4.5E+04 40 1.6 100.559 869 SAFH 2794 856 0 0.2 4E+04 30 1.5 81.2921 870 SAFH 2801 857 0 0.2 3.3E+04 32 3.7 82.2573 871 SAFH 2803 858 0 0.2 3.4E+04 35 49 91.9724 872 SAFH 2804 859 0 0.2 4.5E+04 39 1.4 102.065 873 SAFH 2808 860 0 0.2 4E+04 39 1.3 101.261 874 SAFH 2818 861 0 0.2 4.3E+04 31 3.1 82.1844 875 SAFH 2820 862 0 0.2 4.7E+04 42 2.1 111.653 876 SAFH 2823 863 0 0.2 4E+04 35 70 92.696 877 SAFH 2825 864 0 0.2 4.8E+04 41 2 112.325 878 SAFH 2828 865 0 0.2 4.6E+04 40 0.91 107.813 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 2837 866 0 0.2 5E+04 29 1.1 80.6678 880 SAFH 2844 867 0 0.2 1.6E+04 32 1.7 84.8192 881 SAFH 2849 868 0 0.2 4.7E+04 43 0.65 115.364 882 SAFH 2864 869 0 0.2 4.4E+04 39 1.4 111.122 883 SAFH 2869 870 0 0.2 4.3E+04 33 1.3 83.6659 884 SAFH 2871 871 0 0.2 2.3E+04 29 3.5 81.2921 885 SAFH 2873 872 0 0.2 3E+04 35 4.7 87.1818 886 SAFH 2874 873 0 0.2 3E+04 31 2.2 82.3383 887 SAFH 2878 874 0 0.2 3.6E+04 42 8.5 112.425 888 SAFH 2881 875 0 0.2 3.7E+04 37 1.3 92.3548 889 SAFH 2889 876 0 0.2 2.8E+04 30 1.7 84.5764 890 SAFH 2892 877 0 0.2 3.2E+04 32 2.6 86.6568 891 SAFH 2895 878 0 0.2 2E+04 31 1.3 83.7657 892 SAFH 2898 879 0 0.2 7.1E+03 28 1.8 81.2774 893 SAFH 2901 880 0 0.2 3.8E+04 45 3.6 115.993 894 SAFH 2904 881 0 0.2 3.1E+04 27 1.5 81.8214 895 SAFH 2909 882 0 0.2 2.2E+04 31 7.5 88.6992 896 SAFH 2910 883 0 0.2 2.7E+04 31 3.6 84.387 897 SAFH 2911 884 0 0.2 9.4E+03 30 1.4 84.387 898 SAFH 2914 885 0 0.2 3.4E+04 41 12 105.213 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 2916 886 0 0.2 4.2E+04 39 1.5 105.213 900 SAFH 2918 887 0 0.2 4.5E+04 41 1.3 111.697 901 SAFH 2921 888 0 0.2 4.8E+04 28 0.76 81.2774 902 SAFH 2931 889 0 0.2 2.5E+04 31 2.2 81.5572 903 SAFH 2933 890 0 0.2 4.2E+04 36 20 91.8996 904 SAFH 2935 891 0 0.2 3.4E+04 33 2.7 83.3538 905 SAFH 2939 892 0 0.2 2.9E+04 33 98 89.3297 906 SAFH 2940 893 0 0.2 3E+04 28 1.4 81.8214 907 SAFH 2942 894 0 0.2 4E+04 47 5.6 118.932 908 SAFH 2945 895 0 0.2 5.1E+04 43 1 115.264 909 SAFH 2950 896 0 0.2 4.8E+04 34 2.8 82.3302 910 SAFH 2955 897 0 0.2 4.9E+04 42 0.98 115.264 911 SAFH 2959 898 0 0.2 5.1E+04 30 1.4 82.2098 912 SAFH 2965 899 0 0.2 4.3E+04 38 0.84 108.739 913 SAFH 2971 900 0 0.2 4.5E+04 29 0.45 81.39 914 SAFH 2974 901 0 0.2 2E+04 30 1.4 81.2774 915 SAFH 2978 902 0 0.2 2.5E+04 32 6.7 82.109 916 SAFH 2979 903 0 0.2 6.5E+03 35 4 82.109 917 SAFH 2981 904 0 0.2 2.2E+04 30 0.66 80.6678 918 SAFH 2996 905 0 0.2 3E+04 33 3.1 84.1366 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 2999 906 0 0.2 4.6E+04 40 0.71 107.913 920 SAFH 3011 907 0 0.2 4.5E+04 33 7.3 84.6992 921 SAFH 3012 908 0 0.2 3.2E+04 30 9.8 81.2921 922 SAFH 3013 909 0 0.2 3.4E+04 46 12 114.376 923 SAFH 3015 910 0 0.2 3.9E+04 35 2.7E+02 89.828 924 SAFH 3016 911 0 0.2 3.7E+04 29 0.39 81.39 925 SAFH 3024 912 0 0.2 2.9E+04 35 4.4 86.118 926 SAFH 3029 913 0 0.2 3.5E+04 40 5.7 97.7842 927 SAFH 3035 914 0 0.2 3E+04 30 11 86.7092 928 SAFH 3036 915 0 0.2 3.4E+04 32 37 87.2859 929 SAFH 3037 916 0 0.2 4.1E+04 43 2.7 111.437 930 SAFH 3039 917 0 0.2 4.7E+04 43 0.73 114.303 931 SAFH 3049 918 0 0.2 4.6E+04 34 5 90.7312 932 SAFH 3051 919 0 0.2 3.8E+04 28 1.6 82.3383 933 SAFH 3056 920 0 0.2 3E+04 36 3.3 91.349 934 SAFH 3059 921 0 0.2 3.8E+04 34 3 81.8214 935 SAFH 3060 922 0 0.2 4.7E+04 44 0.8 115.148 936 SAFH 3066 923 0 0.2 4.8E+04 37 2.9 100.732 937 SAFH 3070 924 0 0.2 3.7E+04 33 4.1 81.1658 938 SAFH 3071 925 0 0.2 6.1E+03 34 1.5 81.1658 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 3073 926 0 0.2 4.8E+04 41 0.98 111.541 940 SAFH 3077 927 0 0.2 4.8E+04 34 2.5 91.0352 941 SAFH 3078 928 0 0.2 4.3E+04 36 10 92.9137 942 SAFH 3080 929 0 0.2 6.6E+03 36 30 92.9137 943 SAFH 3081 930 0 0.2 3.1E+04 31 4.4 84.1164 944 SAFH 3082 931 0 0.2 3.7E+04 46 7.1 115.264 945 SAFH 3084 932 0 0.2 4.2E+04 33 9.7 91.0511 946 SAFH 3086 933 0 0.2 3.7E+04 34 2.4 86.8114 947 SAFH 3089 934 0 0.2 3.2E+04 30 2.6 80.7479 948 SAFH 3091 935 0 0.2 2.8E+04 33 1.7 86.0934 949 SAFH 3095 936 0 0.2 2.8E+04 29 1 80.6678 950 SAFH 3103 937 0 0.2 5.2E+04 45 1 118.932 951 SAFH 3109 938 0 0.2 5.1E+04 32 1.4 82.9577 952 SAFH 3110 939 0 0.2 3.5E+04 29 1.9 82.0807 953 SAFH 3111 940 0 0.2 4.2E+04 34 1.4 93.8368 954 SAFH 3112 941 0 0.2 3E+04 30 37 82.7148 955 SAFH 3113 942 0 0.2 4.5E+04 42 0.7 111.678 956 SAFH 3121 943 0 0.2 4.5E+04 29 0.5 81.39 957 SAFH 3123 944 0 0.2 3.3E+04 31 2.4 89.2358 958 SAFH 3124 945 0 0.2 3.3E+04 29 0.88 80.6678 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 3128 946 0 0.2 1.9E+04 28 1.5 80.6698 960 SAFH 3132 947 0 0.2 3.5E+04 29 2.4 81.4775 961 SAFH 3133 948 0 0.2 2.5E+04 29 1.1 81.4751 962 SAFH 3138 949 0 0.2 3.1E+04 34 5.8 90.4589 963 SAFH 3139 950 0 0.2 8.7E+02 34 3.6 90.4589 964 SAFH 3142 951 0 0.2 3.1E+04 29 0.41 80.6678 965 SAFH 3151 952 0 0.2 3.2E+04 31 0.87 84.1806 966 SAFH 3157 953 0 0.2 3.2E+04 32 1.5E+02 90.6339 967 SAFH 3158 954 0 0.2 3.9E+04 46 4 114.303 968 SAFH 3160 955 0 0.2 4.4E+04 40 0.56 107.967 969 SAFH 3171 956 0 0.2 1.7E+04 43 1 111.437 970 SAFH 3173 957 0 0.2 4.3E+04 41 0.83 115.148 971 SAFH 3183 958 0 0.2 4.4E+04 42 0.78 111.364 972 SAFH 3187 959 0 0.2 4.8E+04 37 3.6 101.879 973 SAFH 3188 960 0 0.2 4.1E+04 28 0.37 81.2774 974 SAFH 3199 961 0 0.2 5E+04 43 4.6 114.519 975 SAFH 3200 962 0 0.2 4.3E+04 42 1.2 114.519 976 SAFH 3202 963 0 0.2 4.7E+04 31 1.6 81.3293 977 SAFH 3204 964 0 0.2 2.9E+04 35 11 86.0349 978 SAFH 3205 965 0 0.2 5E+04 41 0.74 112.325 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 3213 966 0 0.2 4.6E+04 40 0.62 111.48 980 SAFH 3221 967 0 0.2 4.4E+04 44 2.4 107.986 981 SAFH 3227 968 0 0.2 3.4E+04 38 20 97.6956 982 SAFH 3228 969 0 0.2 3.7E+04 37 6.1 92.3316 983 SAFH 3229 970 0 0.2 3.8E+04 41 6.2 100.096 984 SAFH 3230 971 0 0.2 2.8E+04 37 7.2 89.8813 985 SAFH 3231 972 0 0.2 2.5E+02 37 3.3 89.8813 986 SAFH 3233 973 0 0.2 1.9E+04 30 1.9 83.0091 987 SAFH 3234 974 0 0.2 3.8E+04 35 1.3 90.947 988 SAFH 3241 975 0 0.2 3.5E+04 35 37 88.7675 989 SAFH 3242 976 0 0.2 4.3E+04 36 21 97.8442 990 SAFH 3243 977 0 0.2 3.1E+04 36 17 97.8442 991 SAFH 3244 978 0 0.2 4E+04 33 1.1 85.7367 992 SAFH 3246 979 0 0.2 2E+04 30 4.1 84.7116 993 SAFH 3247 980 0 0.2 4E+04 32 14 88.0268 994 SAFH 3248 981 0 0.2 1.6E+04 32 5.6 85.2494 995 SAFH 3249 982 0 0.2 3.3E+04 30 1.6 85.9059 996 SAFH 3255 983 0 0.2 5.1E+04 43 0.53 114.376 997 SAFH 3261 984 0 0.2 4.8E+04 35 16 94.2074 998 SAFH 3262 985 0 0.2 1.4E+03 35 4.1 94.2074 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 3264 986 0 0.2 3.2E+04 33 18 90.0669 1000 SAFH 3265 987 0 0.2 4E+04 39 0.74 108.425 1001 SAFH 3269 988 0 0.2 4.8E+04 44 0.81 118.16 1002 SAFH 3272 989 0 0.2 5E+04 38 1.5 98.2598 1003 SAFH 3275 990 0 0.2 3.8E+04 30 1.2 81.2921 1004 SAFH 3278 991 0 0.2 1.8E+04 29 0.38 80.6678 1005 SAFH 3282 992 0 0.2 3.1E+04 33 4 87.5059 1006 SAFH 3283 993 0 0.2 1.7E+02 33 1.2 87.5059 1007 SAFH 3288 994 0 0.2 5E+04 44 1.1 114.376 1008 SAFH 3291 995 0 0.2 4.4E+04 42 0.79 110.752 1009 SAFH 3296 996 0 0.2 4.6E+04 33 1 84.6992 1010 SAFH 3300 997 0 0.2 3.3E+04 37 22 94.5815 1011 SAFH 3302 998 0 0.2 3.4E+04 43 2.1 107.986 1012 SAFH 3305 999 0 0.2 3.1E+04 33 6.3 90.5247 1013 SAFH 3306 1000 0 0.2 2.5E+04 41 3.5 99.5423 1014 SAFH 3308 1001 0 0.2 4.5E+04 43 3.2 114.419 1015 SAFH 3310 1002 0 0.2 5.2E+04 34 5.2 87.18 1016 SAFH 3311 1003 0 0.2 3E+04 31 0.56 81.2774 1017 SAFH 3318 1004 0 0.2 2.1E+04 32 2.1 80.4694 1018 SAFH 3320 1005 0 0.2 4.9E+04 41 0.79 112.209 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 3324 1006 0 0.2 4.9E+04 32 4 84.4487 1020 SAFH 3326 1007 0 0.2 5.2E+04 44 0.69 118.087 1021 SAFH 3333 1008 0 0.2 5.1E+04 39 0.64 103.571 1022 SAFH 3337 1009 0 0.2 4.8E+04 34 1.1 88.3189 1023 SAFH 3341 1010 0 0.2 3.1E+04 32 1.1 82.3181 1024 SAFH 3346 1011 0 0.2 3.2E+04 34 1.1 86.3655 1025 SAFH 3349 1012 0 0.2 4.7E+04 39 0.73 114.833 1026 SAFH 3356 1013 0 0.2 4.7E+04 29 0.52 80.6678 1027 SAFH 3359 1014 0 0.2 1.5E+04 28 0.69 81.2774 1028 SAFH 3364 1015 0 0.2 1.2E+04 29 1.4 81.6233 1029 SAFH 3367 1016 0 0.2 4.8E+04 40 0.86 111.751 1030 SAFH 3368 1017 0 0.2 4.5E+04 31 0.98 86.5363 1031 SAFH 3371 1018 0 0.2 3.1E+04 35 1.6 82.0807 1032 SAFH 3374 1019 0 0.2 5E+04 42 2.1 115.264 1033 SAFH 3375 1020 0 0.2 9.5E+02 42 0.56 115.264 1034 SAFH 3384 1021 0 0.2 4.6E+04 40 0.46 108.858 1035 SAFH 3391 1022 0 0.2 4.6E+04 34 0.66 81.6551 1036 SAFH 3398 1023 0 0.2 3.1E+04 34 9.7 87.1174 1037 SAFH 3399 1024 0 0.2 3.3E+04 34 2.3 87.3136 1038 SAFH 3401 1025 0 0.2 4E+04 39 1.9 106.992 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1039 SAFH 3408 1026 0 0.2 3.6E+04 32 0.58 80.4694 1040 SAFH 3416 1027 0 0.2 2E+04 30 0.61 81.2774 1041 SAFH 3422 1028 0 0.2 3.4E+04 32 16 92.0314 1042 SAFH 3423 1029 0 0.2 4.1E+04 41 3.3 111.437 1043 SAFH 3424 1030 0 0.2 4.9E+04 31 0.93 82.3302 1044 SAFH 3427 1031 0 0.2 2.4E+04 35 0.63 85.7367 1045 SAFH 3432 1032 0 0.2 4.7E+04 41 1.1 111.48 1046 SAFH 3434 1033 0 0.2 4.5E+04 36 0.64 99.6246 1047 SAFH 3438 1034 0 0.2 4.1E+04 29 0.28 80.6678 1048 SAFH 3443 1035 0 0.2 3.7E+04 35 19 87.8083 1049 SAFH 3444 1036 0 0.2 4.9E+02 35 5 87.8083 1050 SAFH 3446 1037 0 0.2 4.2E+04 31 1.7 81.5572 1051 SAFH 3447 1038 0 0.2 2.6E+04 31 0.68 83.1561 1052 SAFH 3451 1039 0 0.2 2E+04 28 0.18 80.6678 1053 SAFH 3457 1040 0 0.2 4.8E+04 40 0.65 112.425 1054 SAFH 3461 1041 0 0.2 4.6E+04 28 7.7 89.6078 1055 SAFH 3462 1042 0 0.2 4.8E+04 41 1.1 111.751 1056 SAFH 3464 1043 0 0.2 4.7E+04 40 0.94 97.239 1057 SAFH 3469 1044 0 0.2 4.5E+04 39 1.3 104.416 1058 SAFH 3470 1045 0 0.2 4.2E+04 31 1.4 83.2484 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1059 SAFH 3471 1046 0 0.2 5.5E+03 35 2.1 85.7367 1060 SAFH 3472 1047 0 0.2 2.4E+02 35 0.92 85.7367 1061 SAFH 3476 1048 0 0.2 1.2E+04 28 0.73 83.0091 1062 SAFH 3480 1049 0 0.2 3.2E+04 30 36 85.1252 1063 SAFH 3481 1050 0 0.2 3.2E+04 37 3.6 92.1471 1064 SAFH 3482 1051 0 0.2 4.8E+04 40 0.31 112.209 1065 SAFH 3493 1052 0 0.2 4.8E+04 30 0.51 81.5572 1066 SAFH 3502 1053 0 0.2 4.2E+04 45 2.8 111.597 1067 SAFH 3503 1054 0 0.2 4.4E+04 42 0.73 115.264 1068 SAFH 3511 1055 0 0.2 4.9E+04 41 2.5 107.726 1069 SAFH 3512 1056 0 0.2 4.4E+04 44 1.5 114.376 1070 SAFH 3514 1057 0 0.2 2.2E+04 38 1.3 98.2328 1071 SAFH 3517 1058 0 0.2 4.4E+04 27 2.8 81.3576 1072 SAFH 3519 1059 0 0.2 2.4E+04 33 1.1 82.0435 1073 SAFH 3523 1060 0 0.2 1.4E+04 33 0.9 81.2921 1074 SAFH 3528 1061 0 0.2 2.3E+04 32 1.2 83.6659 1075 SAFH 3530 1062 0 0.2 4.6E+04 41 0.65 111.364 1076 SAFH 3533 1063 0 0.2 4.8E+04 29 0.69 81.2921 1077 SAFH 3536 1064 0 0.2 2.4E+04 28 11 84.2622 1078 SAFH 3538 1065 0 0.2 2.7E+04 28 0.52 81.39 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1079 SAFH 3546 1066 0 0.2 2.8E+04 38 5.2 88.2451 1080 SAFH 3547 1067 0 0.2 3.6E+04 38 1.6 101.481 1081 SAFH 3548 1068 0 0.2 4.5E+04 32 2.5 84.0489 1082 SAFH 3552 1069 0 0.2 2.9E+04 27 0.18 80.6678 1083 SAFH 3555 1070 0 0.2 3.3E+04 28 2.5 85.4533 1084 SAFH 3556 1071 0 0.2 3.2E+04 32 0.57 83.6659 1085 SAFH 3560 1072 0 0.2 1.9E+02 32 0.25 83.6659 1086 SAFH 3569 1073 0 0.2 2.6E+04 33 4.3 85.5606 1087 SAFH 3570 1074 0 0.2 3.1E+04 39 4.6 91.5874 1088 SAFH 3571 1075 0 0.2 3E+04 32 1.5 84.9774 1089 SAFH 3572 1076 0 0.2 4.6E+04 39 0.42 108.758 1090 SAFH 3580 1077 0 0.2 4.4E+04 31 7.3 82.0272 1091 SAFH 3581 1078 0 0.2 8.3E+02 31 2.6 82.0272 1092 SAFH 3585 1079 0 0.2 2.5E+04 27 0.085 80.6678 1093 SAFH 3592 1080 0 0.2 2.8E+04 32 1.5 86.4975 1094 SAFH 3593 1081 0 0.2 9.3E+02 31 0.53 86.4975 1095 SAFH 3601 1082 0 0.2 3.4E+04 32 1 91.8089 1096 SAFH 3605 1083 0 0.2 2.6E+04 26 5.1 80.6678 1097 SAFH 3606 1084 0 0.2 4E+04 39 0.57 108.758 1098 SAFH 3613 1085 0 0.2 4.4E+04 41 0.42 115.993 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1099 SAFH 3621 1086 0 0.2 5E+04 27 1.1 82.0678 1100 SAFH 3625 1087 0 0.2 3.3E+04 34 1.1 88.4362 1101 SAFH 3630 1088 0 0.2 4.4E+04 34 0.56 99.1524 1102 SAFH 3635 1089 0 0.2 4E+04 31 1 82.1844 1103 SAFH 3637 1090 0 0.2 4.7E+04 43 1.5 114.376 1104 SAFH 3638 1091 0 0.2 4.6E+04 27 0.084 80.6678 1105 SAFH 3642 1092 0 0.2 2.4E+04 30 0.64 84.3155 1106 SAFH 3649 1093 0 0.2 5E+04 43 0.74 118.932 1107 SAFH 3653 1094 0 0.2 5E+04 42 6.1 107.967 1108 SAFH 3655 1095 0 0.2 4E+04 27 0.4 80.6678 1109 SAFH 3660 1096 0 0.2 3.1E+04 34 1 90.6528 1110 SAFH 3662 1097 0 0.2 2.7E+04 30 0.66 84.5799 1111 SAFH 3665 1098 0 0.2 2.7E+04 29 1.7 82.6707 1112 SAFH 3668 1099 0 0.2 2.4E+04 32 3.5 83.7657 1113 SAFH 3669 1100 0 0.2 2E+04 27 0.1 80.6678 1114 SAFH 3678 1101 0 0.2 4.3E+04 38 0.68 105.028 1115 SAFH 3684 1102 0 0.2 4.7E+04 42 0.62 111.48 1116 SAFH 3686 1103 0 0.2 4.4E+04 43 2.6 111.58 1117 SAFH 3687 1104 0 0.2 4.5E+04 27 2.5 82.3383 1118 SAFH 3689 1105 0 0.2 2.8E+04 27 1.2 82.2098 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1119 SAFH 3692 1106 0 0.2 2.8E+04 35 26 92.1496 1120 SAFH 3693 1107 0 0.2 1.6E+04 34 6.8 92.1496 1121 SAFH 3695 1108 0 0.2 3E+04 35 8.5 89.9892 1122 SAFH 3697 1109 0 0.2 3.4E+04 36 1.2 95.8242 1123 SAFH 3700 1110 0 0.2 3.7E+04 31 4.4 87.2859 1124 SAFH 3701 1111 0 0.2 2.3E+04 31 1.5 89.7777 1125 SAFH 3702 1112 0 0.2 1.5E+02 31 0.7 89.7777 1126 SAFH 3708 1113 0 0.2 2.9E+04 33 1.5 80.4694 1127 SAFH 3710 1114 0 0.2 2.9E+04 37 23 92.3864 1128 SAFH 3711 1115 0 0.2 1.3E+04 37 2.3 92.3864 1129 SAFH 3712 1116 0 0.2 1.5E+04 36 9.6 92.3864 1130 SAFH 3713 1117 0 0.2 1.7E+04 29 0.33 83.2484 1131 SAFH 3722 1118 0 0.2 2.7E+04 30 0.99 82.3302 1132 SAFH 3725 1119 0 0.2 2.7E+04 33 1.4 80.4694 1133 SAFH 3726 1120 0 0.2 3.1E+04 35 4.2 88.0589 1134 SAFH 3728 1121 0 0.2 3E+04 32 1.8 85.8165 1135 SAFH 3729 1122 0 0.2 3.4E+04 27 2.6 80.5632 1136 SAFH 3730 1123 0 0.2 2.7E+04 34 0.48 83.6659 1137 SAFH 3737 1124 0 0.2 1.4E+04 27 0.49 81.2774 1138 SAFH 3746 1125 0 0.2 1.7E+04 27 0.17 80.6678 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1139 SAFH 3747 1126 0 0.2 40 27 0.082 80.6678 1140 SAFH 3753 1127 0 0.2 1.1E+04 29 0.28 83.2484 1141 SAFH 3756 1128 0 0.2 2.6E+04 34 3.7 91.0032 1142 SAFH 3757 1129 0 0.2 3.7E+03 36 1.7 91.0032 1143 SAFH 3762 1130 0 0.2 1.9E+04 27 0.45 81.9805 1144 SAFH 3770 1131 0 0.2 2.5E+04 30 2.8 84.1893 1145 SAFH 3771 1132 0 0.2 2.9E+04 33 0.27 85.7367 1146 SAFH 3783 1133 0 0.2 2.1E+04 29 0.55 81.2921 1147 SAFH 3789 1134 0 0.2 2.2E+04 31 0.53 84.8192 1148 SAFH 3793 1135 0 0.2 2.5E+04 27 0.67 81.3576 1149 SAFH 3796 1136 0 0.2 3.6E+04 31 0.63 84.2388 1150 SAFH 3800 1137 0 0.2 2.7E+04 30 3.4 81.5572 1151 SAFH 3801 1138 0 0.2 4.9E+04 39 0.42 112.523 1152 SAFH 3807 1139 0 0.2 5E+04 29 2.1 87.5544 1153 SAFH 3808 1140 0 0.2 4.1E+04 33 4.9E+02 91.5588 1154 SAFH 3809 1141 0 0.2 3.5E+04 29 2 83.194 1155 SAFH 3811 1142 0 0.2 1.2E+03 29 0.76 83.194 1156 SAFH 3815 1143 0 0.2 4.3E+04 37 0.5 106.156 1157 SAFH 3819 1144 0 0.2 4.2E+04 29 2.7 81.4751 1158 SAFH 3820 1145 0 0.2 2.3E+04 29 0.87 82.8482 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1159 SAFH 3822 1146 0 0.2 1.8E+04 34 0.98 87.588 1160 SAFH 3824 1147 0 0.2 3E+04 32 4.3 87.6265 1161 SAFH 3826 1148 0 0.2 2.6E+04 30 0.48 83.3673 1162 SAFH 3827 1149 0 0.2 1.8E+04 29 0.93 81.2921 1163 SAFH 3830 1150 0 0.2 6.1E+03 32 0.39 81.2921 1164 SAFH 3841 1151 0 0.2 1.7E+04 27 0.39 80.6678 1165 SAFH 3845 1152 0 0.2 1.1E+04 35 0.46 85.7367 1166 SAFH 3851 1153 0 0.2 2.8E+04 27 1.7 83.4172 1167 SAFH 3854 1154 0 0.2 2E+04 30 2.4 84.8133 1168 SAFH 3855 1155 0 0.2 5E+04 43 0.58 118.932 1169 SAFH 3863 1156 0 0.2 1.3E+04 40 0.95 111.697 1170 SAFH 3865 1157 0 0.2 4.7E+04 41 0.46 111.48 1171 SAFH 3871 1158 0 0.2 4.7E+04 34 2.3 91.9581 1172 SAFH 3873 1159 0 0.2 4E+04 27 2.7 83.4901 1173 SAFH 3874 1160 0 0.2 4.8E+04 43 0.47 115.148 1174 SAFH 3880 1161 0 0.2 4.4E+04 38 1.5 88.9682 1175 SAFH 3884 1162 0 0.2 3.5E+04 32 2.1 85.5366 1176 SAFH 3885 1163 0 0.2 3.4E+04 36 1.7 90.9713 1177 SAFH 3888 1164 0 0.2 3.1E+04 28 0.78 80.6396 1178 SAFH 3891 1165 0 0.2 1.9E+02 28 0.29 80.6396 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1179 SAFH 3895 1166 0 0.2 3.4E+04 33 86 87.0948 1180 SAFH 3896 1167 0 0.2 7.3E+02 33 9.1 87.0948 1181 SAFH 3897 1168 0 0.2 3E+04 41 2.5 98.4668 1182 SAFH 3899 1169 0 0.2 3.7E+04 33 25 90.3863 1183 SAFH 3900 1170 0 0.2 1.3E+03 33 6 90.3863 1184 SAFH 3901 1171 0 0.2 1.2E+04 33 5.4 88.6471 1185 SAFH 3903 1172 0 0.2 3.1E+04 37 1.8 94.3045 1186 SAFH 3908 1173 0 0.2 4.1E+04 36 1 93.7718 1187 SAFH 3910 1174 0 0.2 3.5E+04 32 0.67 84.3815 1188 SAFH 3911 1175 0 0.2 2.7E+04 33 0.54 80.4694 1189 SAFH 3919 1176 0 0.2 2.1E+04 30 1.4 87.8805 1190 SAFH 3922 1177 0 0.2 3E+04 33 0.39 86.5415 1191 SAFH 3929 1178 0 0.2 3.1E+04 34 1.6 86.047 1192 SAFH 3931 1179 0 0.2 3.8E+04 33 0.48 80.4694 1193 SAFH 3936 1180 0 0.2 7.1E+03 33 1.7 80.4694 1194 SAFH 3938 1181 0 0.2 4.9E+04 40 0.73 114.519 1195 SAFH 3939 1182 0 0.2 4.9E+04 39 15 100.174 1196 SAFH 3940 1183 0 0.2 2.6E+04 30 0.46 88.269 1197 SAFH 3949 1184 0 0.2 3.6E+04 32 0.68 85.7367 1198 SAFH 3950 1185 0 0.2 5E+04 40 0.55 112.209 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1199 SAFH 3952 1186 0 0.2 4.7E+04 28 25 86.4325 1200 SAFH 3953 1187 0 0.2 3.4E+04 31 1 81.5572 1201 SAFH 3956 1188 0 0.2 3.3E+04 33 5.1 82.1536 1202 SAFH 3957 1189 0 0.2 3.4E+04 33 0.54 87.5674 1203 SAFH 3960 1190 0 0.2 2.9E+04 33 2.1 81.5572 1204 SAFH 3961 1191 0 0.2 5.5E+02 31 0.51 81.5572 1205 SAFH 3967 1192 0 0.2 2.2E+04 27 0.24 80.6678 1206 SAFH 3970 1193 0 0.2 2.4E+04 36 0.73 90.25 1207 SAFH 3974 1194 0 0.2 4.6E+04 40 0.47 111.697 1208 SAFH 3978 1195 0 0.2 4.6E+04 33 1.3 81.6551 1209 SAFH 3980 1196 0 0.2 3.6E+04 31 0.51 91.8682 1210 SAFH 3983 1197 0 0.2 3.7E+04 36 32 89.6909 1211 SAFH 3985 1198 0 0.2 3.6E+04 31 0.35 86.4975 1212 SAFH 3989 1199 0 0.2 3.5E+04 33 0.92 86.5767 1213 SAFH 3990 1200 0 0.2 1.7E+02 33 0.44 86.5767 1214 SAFH 3997 1201 0 0.2 2.4E+04 31 0.58 81.2921 1215 SAFH 4000 1202 0 0.2 1.9E+04 30 1 85.1664 1216 SAFH 4001 1203 0 0.2 6.3E+03 30 2.2 85.1664 1217 SAFH 4002 1204 0 0.2 2.3E+04 29 0.49 81.2774 1218 SAFH 4008 1205 0 0.2 3.2E+04 33 19 85.0222 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1219 SAFH 4009 1206 0 0.2 3.4E+04 27 0.44 81.6233 1220 SAFH 4015 1207 0 0.2 3.5E+04 38 1.4 98.4104 1221 SAFH 4017 1208 0 0.2 2.4E+04 33 88 89.5124 1222 SAFH 4018 1209 0 0.2 3.9E+04 38 1.1 89.9892 1223 SAFH 4021 1210 0 0.2 4.4E+04 36 0.51 102.267 1224 SAFH 4024 1211 0 0.2 4.2E+04 30 0.62 81.5572 1225 SAFH 4027 1212 0 0.2 3.1E+04 28 1 84.3351 1226 SAFH 4030 1213 0 0.2 5E+04 43 0.43 114.376 1227 SAFH 4037 1214 0 0.2 4.7E+04 42 4.7 100.516 1228 SAFH 4039 1215 0 0.2 4.3E+04 41 0.35 107.77 1229 SAFH 4044 1216 0 0.2 4.8E+04 34 0.83 87.033 1230 SAFH 4045 1217 0 0.2 2.3E+04 36 0.44 88.4362 1231 SAFH 4055 1218 0 0.2 2E+04 29 0.57 81.2774 1232 SAFH 4060 1219 0 0.2 2.7E+04 31 0.55 82.9876 1233 SAFH 4064 1220 0 0.2 1.8E+04 29 0.65 82.2385 1234 SAFH 4066 1221 0 0.2 2.3E+04 29 0.56 81.2921 1235 SAFH 4070 1222 0 0.2 1.6E+04 27 2.5 82.3383 1236 SAFH 4072 1223 0 0.2 3E+04 35 2.8E+02 92.266 1237 SAFH 4073 1224 0 0.2 1.8E+02 35 5.8 92.266 1238 SAFH 4074 1225 0 0.2 3.3E+04 39 0.7 99.7422 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1239 SAFH 4077 1226 0 0.2 2.7E+04 27 0.3 81.2774 1240 SAFH 4082 1227 0 0.2 2.5E+04 27 0.6 83.9453 1241 SAFH 4084 1228 0 0.2 3.1E+04 37 2.7 92.1931 1242 SAFH 4085 1229 0 0.2 1.6E+04 35 12 92.1931 1243 SAFH 4086 1230 0 0.2 4E+04 34 0.71 100.888 1244 SAFH 4089 1231 0 0.2 4.5E+04 39 0.55 109.114 1245 SAFH 4095 1232 0 0.2 4.6E+04 34 0.38 85.7367 1246 SAFH 4100 1233 0 0.2 2.6E+04 31 0.64 82.9577 1247 SAFH 4108 1234 0 0.2 2.9E+04 32 0.79 83.8636 1248 SAFH 4111 1235 0 0.2 3.7E+04 35 3.3 91.2721 1249 SAFH 4114 1236 0 0.2 3.7E+04 27 0.06 80.6678 1250 SAFH 4117 1237 0 0.2 1.6E+04 31 0.31 81.2774 1251 SAFH 4128 1238 0 0.2 2.7E+04 27 0.6 81.4022 1252 SAFH 4131 1239 0 0.2 2.6E+04 34 13 83.8311 1253 SAFH 4133 1240 0 0.2 3.3E+04 31 0.35 86.3655 1254 SAFH 4137 1241 0 0.2 3.4E+04 34 2 91.7906 1255 SAFH 4140 1242 0 0.2 4.1E+04 30 0.3 81.5572 1256 SAFH 4145 1243 0 0.2 2.9E+04 35 1.4 88.6755 1257 SAFH 4147 1244 0 0.2 4E+04 38 1.2 98.0113 1258 SAFH 4148 1245 0 0.2 4.2E+04 28 1.1 83.7995 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1259 SAFH 4153 1246 0 0.2 2E+04 33 0.68 88.02 1260 SAFH 4157 1247 0 0.2 4.6E+04 42 0.73 111.597 1261 SAFH 4161 1248 0 0.2 4.7E+04 42 12 100.535 1262 SAFH 4162 1249 0 0.2 4.2E+04 40 0.53 107.77 1263 SAFH 4166 1250 0 0.2 4.5E+04 35 0.89 90.947 1264 SAFH 4168 1251 0 0.2 2.3E+04 29 3.6 83.336 1265 SAFH 4171 1252 0 0.2 4.6E+04 37 0.27 100.891 1266 SAFH 4178 1253 0 0.2 4.8E+04 32 11 86.948 1267 SAFH 4180 1254 0 0.2 4.2E+04 38 0.45 103.857 1268 SAFH 4188 1255 0 0.2 4.3E+04 34 1.7 93.1295 1269 SAFH 4191 1256 0 0.2 4E+04 35 1.1 98.763 1270 SAFH 4193 1257 0 0.2 4.2E+04 33 1.3 81.2774 1271 SAFH 4194 1258 0 0.2 2E+04 34 1.5 88.1955 1272 SAFH 4196 1259 0 0.2 4.3E+03 31 0.68 85.496 1273 SAFH 4200 1260 0 0.2 2.9E+04 36 8.1 90.7551 1274 SAFH 4201 1261 0 0.2 1.2E+04 36 2.2 90.7551 1275 SAFH 4202 1262 0 0.2 4E+04 36 0.81 89.3928 1276 SAFH 4207 1263 0 0.2 2.8E+04 31 2.1 89.675 1277 SAFH 4210 1264 0 0.2 3.2E+04 30 1.3 88.8634 1278 SAFH 4212 1265 0 0.2 2.9E+04 27 2.8 82.8195 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1279 SAFH 4213 1266 0 0.2 2.1E+04 29 0.34 83.8771 1280 SAFH 4217 1267 0 0.2 4E+04 33 1.7 89.8384 1281 SAFH 4218 1268 0 0.2 1.1E+04 27 6.7 84.8618 1282 SAFH 4219 1269 0 0.2 51 27 1.5 84.8618 1283 SAFH 4220 1270 0 0.2 1.1E+04 33 0.71 89.8384 1284 SAFH 4222 1271 0 0.2 3.2E+04 28 0.54 83.8311 1285 SAFH 4226 1272 0 0.2 2.3E+04 29 0.65 81.4022 1286 SAFH 4227 1273 0 0.2 18 29 0.3 81.4022 1287 SAFH 4233 1274 0 0.2 2.7E+04 30 4 87.8805 1288 SAFH 4234 1275 0 0.2 2E+04 26 0.31 81.2921 1289 SAFH 4240 1276 0 0.2 2.8E+04 38 2.8 93.6685 1290 SAFH 4241 1277 0 0.2 1.3E+03 38 0.69 93.6685 1291 SAFH 4245 1278 0 0.2 3E+04 29 0.42 83.575 1292 SAFH 4250 1279 0 0.2 3E+04 27 0.66 81.2921 1293 SAFH 4252 1280 0 0.2 9E+03 30 1.6 83.7804 1294 SAFH 4253 1281 0 0.2 2E+04 26 0.26 81.2921 1295 SAFH 4257 1282 0 0.2 3.1E+04 29 0.94 89.6769 1296 SAFH 4260 1283 0 0.2 3.3E+04 34 0.51 91.2098 1297 SAFH 4264 1284 0 0.2 3.9E+04 27 0.76 81.4751 1298 SAFH 4265 1285 0 0.2 5E+04 43 0.47 115.148 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1299 SAFH 4272 1286 0 0.2 5.1E+04 32 0.34 83.6659 1300 SAFH 4281 1287 0 0.2 2.4E+04 26 3.6E+02 81.2921 1301 SAFH 4282 1288 0 0.2 2.4E+04 32 0.37 85.7367 1302 SAFH 4287 1289 0 0.2 3E+04 33 1.1 90.4612 1303 SAFH 4289 1290 0 0.2 7.4E+03 30 0.44 87.5223 1304 SAFH 4296 1291 0 0.2 2.8E+04 38 1 95.3796 1305 SAFH 4300 1292 0 0.2 3E+04 30 0.64 86.3607 1306 SAFH 4302 1293 0 0.2 4.8E+04 41 2.1 107.77 1307 SAFH 4306 1294 0 0.2 4E+04 28 0.85 84.799 1308 SAFH 4307 1295 0 0.2 3.6E+04 30 1.3 87.0966 1309 SAFH 4308 1296 0 0.2 3.4E+04 27 21 81.2774 1310 SAFH 4309 1297 0 0.2 2.5E+02 27 0.34 81.2774 1311 SAFH 4311 1298 0 0.2 2.6E+04 33 0.54 85.5909 1312 SAFH 4313 1299 0 0.2 2.2E+04 31 2.4 85.7471 1313 SAFH 4315 1300 0 0.2 3.1E+04 30 0.9 85.1051 1314 SAFH 4317 1301 0 0.2 2.6E+04 29 2.4 81.2921 1315 SAFH 4318 1302 0 0.2 1.5E+04 34 0.75 84.3351 1316 SAFH 4321 1303 0 0.2 1.9E+04 27 0.28 81.4751 1317 SAFH 4325 1304 0 0.2 2.7E+04 36 0.77 90.7584 1318 SAFH 4327 1305 0 0.2 1.1E+02 36 0.41 90.7584 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1319 SAFH 4331 1306 0 0.2 2.8E+04 26 0.72 80.6678 1320 SAFH 4332 1307 0 0.2 58 26 0.32 80.6678 1321 SAFH 4338 1308 0 0.2 2E+04 31 3.2 83.5125 1322 SAFH 4340 1309 0 0.2 3.7E+04 33 1.4 88.3091 1323 SAFH 4342 1310 0 0.2 2.5E+04 27 0.19 81.2774 1324 SAFH 4356 1311 0 0.2 2E+04 28 0.28 81.39 1325 SAFH 4361 1312 0 0.2 3.8E+04 38 0.89 98.1301 1326 SAFH 4363 1313 0 0.2 4.1E+04 38 0.76 97.3708 1327 SAFH 4367 1314 0 0.2 2.5E+04 30 6.8 81.7287 1328 SAFH 4369 1315 0 0.2 2.6E+04 34 0.23 85.7367 1329 SAFH 4377 1316 0 0.2 3.3E+04 34 4.9 85.0539 1330 SAFH 4379 1317 0 0.2 2.7E+04 31 2.3 84.4736 1331 SAFH 4380 1318 0 0.2 7.1E+03 31 0.44 84.4736 1332 SAFH 4385 1319 0 0.2 3E+04 32 0.45 84.0053 1333 SAFH 4388 1320 0 0.2 4E+04 35 1.6 94.5146 1334 SAFH 4390 1321 0 0.2 3.6E+04 32 0.79 89.6836 1335 SAFH 4391 1322 0 0.2 4.6E+04 39 0.38 108.011 1336 SAFH 4396 1323 0 0.2 4.6E+04 40 4 94.9573 1337 SAFH 4397 1324 0 0.2 1.6E+02 40 1.1 94.9573 1338 SAFH 4401 1325 0 0.2 3.1E+04 32 0.099 85.7367 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1339 SAFH 4412 1326 0 0.2 2.8E+04 40 1 96.1224 1340 SAFH 4414 1327 0 0.2 4.7E+04 39 0.35 105.687 1341 SAFH 4420 1328 0 0.2 4.4E+04 34 2.8 91.6648 1342 SAFH 4421 1329 0 0.2 1.9E+04 34 3 91.6648 1343 SAFH 4422 1330 0 0.2 1.7E+04 31 0.46 83.0312 1344 SAFH 4424 1331 0 0.2 2.7E+04 36 1.2 88.9646 1345 SAFH 4426 1332 0 0.2 3.6E+04 36 1.3E+02 93.1553 1346 SAFH 4427 1333 0 0.2 1.3E+04 35 29 93.1553 1347 SAFH 4428 1334 0 0.2 9.7E+03 34 36 90.2165 1348 SAFH 4429 1335 0 0.2 5.7E+02 34 6.4 90.2165 1349 SAFH 4430 1336 0 0.2 1.8E+04 35 1.1 93.6272 1350 SAFH 4432 1337 0 0.2 3E+04 27 0.28 81.6378 1351 SAFH 4437 1338 0 0.2 3.4E+04 31 1E+02 80.4694 1352 SAFH 4438 1339 0 0.2 2.9E+04 35 0.43 96.348 1353 SAFH 4441 1340 0 0.2 2.9E+04 31 0.62 80.4694 1354 SAFH 4444 1341 0 0.2 3.4E+04 30 2.1 89.117 1355 SAFH 4445 1342 0 0.2 2.2E+04 27 0.46 81.5434 1356 SAFH 4449 1343 0 0.2 3.3E+04 29 0.37 85.2962 1357 SAFH 4454 1344 0 0.2 2.7E+04 31 0.34 81.2921 1358 SAFH 4463 1345 0 0.2 3.9E+04 34 4 89.1843 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1359 SAFH 4464 1346 0 0.2 1.9E+04 40 0.71 94.3463 1360 SAFH 4466 1347 0 0.2 2.8E+04 37 0.38 91.0184 1361 SAFH 4475 1348 0 0.2 2.3E+04 27 0.35 81.2774 1362 SAFH 4481 1349 0 0.2 2E+04 27 0.7 81.4751 1363 SAFH 4482 1350 0 0.2 89 27 0.18 81.4751 1364 SAFH 4490 1351 0 0.2 3.9E+04 33 1 90.9491 1365 SAFH 4492 1352 0 0.2 4.1E+04 31 1.7E+02 85.5808 1366 SAFH 4493 1353 0 0.2 2.8E+02 31 54 85.5808 1367 SAFH 4494 1354 0 0.2 1.2E+02 31 2.9 85.5808 1368 SAFH 4495 1355 0 0.2 30 31 0.62 85.5808 1369 SAFH 4497 1356 0 0.2 2.6E+04 27 0.18 80.6678 1370 SAFH 4500 1357 0 0.2 1.1E+04 29 0.14 83.2484 1371 SAFH 4510 1358 0 0.2 5.2E+04 43 0.59 114.303 1372 SAFH 4513 1359 0 0.2 5.2E+04 34 0.36 85.7367 1373 SAFH 4518 1360 0 0.2 1.6E+04 29 0.57 82.8482 1374 SAFH 4520 1361 0 0.2 2.4E+04 30 0.35 80.4694 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.103_nd-15._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 80.469416536999972323 Max constraint (39) : 1.7801994545152410865e-08 Alternative solution : MIP Alt. objective value : 80.469416536999972323 Max constraint (39) : 1.7801994545152410865e-08 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 1375 Iteration limit : -1 Function evaluations : 214000 Gradient evaluations : 4523 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.5 % Optimal/total MIPs : 0/1375 NLP solver calls : 1374 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- nd-15.gms(1199) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job nd-15.gms Stop 09/14/12 16:51:53 elapsed 2:00:02.292 @04 1347634313 ----------------------------- Fr 14. Sep 16:51:53 CEST 2012 ----------------------------- =ready= Linux opt226 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/NetworkDesign/gms/nd-16.gms =========== ----------------------------- Fr 14. Sep 14:52:20 CEST 2012 ----------------------------- @03 1347627140 --- Job nd-16.gms Start 09/14/12 14:52:20 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- nd-16.gms(1305) 2 Mb --- Starting execution: elapsed 0:00:00.020 --- nd-16.gms(1303) 3 Mb --- Generating MINLP model m --- nd-16.gms(1305) 6 Mb --- 394 rows 937 columns 3,641 non-zeroes --- 2,756 nl-code 832 nl-non-zeroes --- 52 discrete-columns --- nd-16.gms(1305) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.032 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.104_nd-16._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 3641 elements of which 23% are non-linear(NL) included in 394 constraints of which 13% are NL The NL constraint signs: =E=(0), =G=(52), =L=(0) The number of variables in NL elements are 832 from a total of 937 variables: Continuous(885), Binary(52), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=128 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (281) infeasibile 0 H 0 0 0 1 0 52 1.7 NA 1 SAFH 52 1 0 1 4.7E+04 49 3.6E+11 136.532 2 SAFH 53 2 0 1 1.2E+04 48 2.5E+11 134.226 3 SAFH 56 3 0 1 1.4E+04 48 1.4E+11 135.384 4 SAFH 59 4 0 1 1.4E+04 49 3.8E+11 136.532 5 SAFH 60 5 0 1 1.1E+04 49 1.9E+11 136.532 6 SAFH 61 6 0 1 1.1E+04 49 1.7E+11 136.532 7 SAFH 62 7 0 1 1.1E+04 49 7.6E+10 136.532 8 SAFH 65 8 0 1 1.2E+04 48 7.6E+10 136.532 9 SAFH 68 9 0 1 1.2E+04 48 3.9E+11 136.532 10 SAFH 70 10 0 1 1.3E+04 47 1.1E+11 135.384 11 SAFH 71 11 0 1 1.1E+04 48 3.6E+10 136.532 12 SAFH 77 12 0 1 1.4E+04 48 1.8E+11 136.532 13 SAFH 78 13 0 1 1.5E+04 48 1.9E+11 136.532 14 SAFH 81 14 0 1 1.3E+04 48 1.2E+11 136.532 15 SAFH 83 15 0 1 1.5E+04 49 2.5E+11 136.532 16 SAFH 84 16 0 1 1.3E+04 48 2.2E+11 136.532 17 SAFH 86 17 0 1 1.4E+04 48 1.2E+11 136.532 18 SAFH 90 18 0 1 1.5E+04 48 2.4E+11 134.226 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 93 19 0 1 1.8E+04 48 3.6E+11 136.532 20 SAFH 94 20 0 1 1.3E+04 49 5.6E+10 136.532 21 SAFH 96 21 0 1 1.2E+04 49 6.9E+10 136.532 22 SAFH 99 22 0 1 1.7E+04 47 2.5E+11 136.532 23 SAFH 101 23 0 1 1.2E+04 47 2.5E+11 136.532 24 SAFH 102 24 0 1 1.3E+04 48 9.5E+10 136.532 25 SAFH 104 25 0 1 1.5E+04 49 1.9E+11 136.532 26 SAFH 107 26 0 1 1.3E+04 49 8.3E+10 136.532 27 SAFH 110 27 0 1 1.3E+04 48 1.9E+11 136.532 28 SAFH 111 28 0 1 1.2E+04 47 3.8E+11 130.358 29 SAFH 112 29 0 1 1.1E+04 48 6.9E+10 136.532 30 SAFH 114 30 0 1 1.2E+04 49 1.1E+11 136.532 31 SAFH 115 31 0 1 1.2E+04 50 2E+11 136.532 32 SAFH 116 32 0 1 1E+04 49 1.9E+11 136.532 33 SAFH 117 33 0 1 1.4E+04 49 1.2E+11 136.532 34 SAFH 118 34 0 1 1.3E+04 49 3.3E+10 136.532 35 SAFH 122 35 0 1 1.4E+04 49 1.9E+11 136.532 36 SAFH 123 36 0 1 1.3E+04 49 6.2E+10 136.532 37 SAFH 125 37 0 1 1.4E+04 48 2.4E+10 136.532 38 SAFH 126 38 0 1 1.1E+04 48 9E+10 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 127 39 0 1 1.4E+04 48 4.7E+10 136.532 40 SAFH 130 40 0 1 1.5E+04 48 9.6E+10 136.532 41 SAFH 132 41 0 1 1.8E+04 49 9.5E+10 136.532 42 SAFH 133 42 0 1 1.3E+04 50 1.2E+11 136.532 43 SAFH 136 43 0 1 1.2E+04 49 1.8E+11 136.532 44 SAFH 137 44 0 1 1E+04 50 4.9E+10 136.532 45 SAFH 140 45 0 1 9.4E+03 49 2.7E+10 136.532 46 SAFH 144 46 0 1 1.2E+04 49 1.1E+10 136.532 47 SAFH 149 47 0 1 1.2E+04 49 4.8E+10 136.532 48 SAFH 150 48 0 1 9.5E+03 49 4.8E+10 136.532 49 SAFH 152 49 0 1 1.2E+04 49 5.4E+10 136.532 50 SAFH 153 50 0 1 1.4E+04 48 6E+10 136.532 51 SAFH 155 51 0 1 1.1E+04 48 2.4E+10 135.384 52 SAFH 161 52 0 1 1.6E+04 49 3.1E+10 136.532 53 SAFH 163 53 0 1 1.3E+04 49 2.1E+10 136.532 54 SAFH 165 54 0 1 1.4E+04 49 5.6E+10 136.532 55 SAFH 166 55 0 1 1.2E+04 49 3.1E+10 136.532 56 SAFH 168 56 0 1 1.4E+04 49 1.7E+10 136.532 57 SAFH 171 57 0 1 1.5E+04 49 1.8E+10 136.532 58 SAFH 174 58 0 1 1.4E+04 48 1.9E+10 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 175 59 0 1 1.4E+04 50 2.8E+10 136.532 60 SAFH 177 60 0 1 1.6E+04 47 6E+10 136.532 61 SAFH 178 61 0 1 1.6E+04 49 2.5E+11 136.532 62 SAFH 181 62 0 1 1.4E+04 48 8.3E+09 133.913 63 SAFH 187 63 0 1 1.6E+04 49 1.2E+11 136.532 64 SAFH 189 64 0 1 1.5E+04 49 2.3E+10 136.532 65 SAFH 190 65 0 1 1.4E+04 49 2.4E+10 136.532 66 SAFH 191 66 0 1 1E+04 48 1.2E+10 136.532 67 SAFH 194 67 0 1 1.5E+04 47 2.7E+10 136.532 68 SAFH 197 68 0 1 1.5E+04 50 4.8E+10 136.532 69 SAFH 198 69 0 1 8.5E+03 50 2.4E+10 136.532 70 SAFH 201 70 0 1 1.5E+04 49 1E+10 136.532 71 SAFH 205 71 0 1 1.2E+04 49 8.3E+09 136.532 72 SAFH 208 72 0 1 1.5E+04 48 2.8E+10 136.532 73 SAFH 209 73 0 1 1.1E+04 48 1.2E+11 136.532 74 SAFH 210 74 0 1 1E+04 49 1.2E+10 136.532 75 SAFH 214 75 0 1 1.1E+04 49 4.5E+09 136.532 76 SAFH 221 76 0 1 1.7E+04 49 9.5E+10 136.532 77 SAFH 223 77 0 1 1.1E+04 49 9.6E+10 136.532 78 SAFH 224 78 0 1 9.4E+03 49 4.8E+10 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 227 79 0 1 1.1E+04 50 9.5E+09 136.532 80 SAFH 231 80 0 1 1E+04 48 5.9E+09 136.532 81 SAFH 234 81 0 1 1.3E+04 49 4.7E+10 136.532 82 SAFH 235 82 0 1 8.1E+03 49 2.4E+10 136.532 83 SAFH 237 83 0 1 1.2E+04 49 1.1E+10 136.532 84 SAFH 239 84 0 1 1.4E+04 49 6.2E+10 136.532 85 SAFH 240 85 0 1 1.2E+04 48 3.8E+11 136.532 86 SAFH 241 86 0 1 7.5E+03 49 6.2E+10 136.532 87 SAFH 242 87 0 1 1.2E+04 49 2.2E+09 136.532 88 SAFH 247 88 0 1 1.3E+04 48 1.4E+10 136.532 89 SAFH 248 89 0 1 9.4E+03 48 2.4E+10 136.532 90 SAFH 249 90 0 1 1.1E+04 49 2.4E+10 136.532 91 SAFH 251 91 0 1 1.6E+04 48 1.4E+10 134.226 92 SAFH 252 92 0 1 1.3E+04 47 1.2E+10 133.798 93 SAFH 255 93 0 1 1.6E+04 48 1.5E+10 136.532 94 SAFH 257 94 0 1 1.3E+04 48 2E+09 136.532 95 SAFH 261 95 0 1 1.3E+04 48 9E+10 136.532 96 SAFH 262 96 0 1 7.2E+03 48 4.5E+10 136.532 97 SAFH 263 97 0 1 8.3E+03 49 2.3E+10 136.532 98 SAFH 264 98 0 1 1.2E+04 48 5.6E+09 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 268 99 0 1 1.5E+04 49 1.1E+10 136.532 100 SAFH 271 100 0 1 1.3E+04 50 4.3E+09 136.532 101 SAFH 274 101 0 1 1.6E+04 49 3E+10 136.532 102 SAFH 275 102 0 1 8E+03 49 1.5E+10 136.532 103 SAFH 276 103 0 1 1.1E+04 50 7.7E+09 136.532 104 SAFH 281 104 0 1 1.7E+04 49 5.9E+09 136.532 105 SAFH 283 105 0 1 1.3E+04 49 7.1E+09 136.532 106 SAFH 285 106 0 1 1.2E+04 49 2.2E+09 136.532 107 SAFH 288 107 0 1 1.5E+04 50 3.5E+09 136.532 108 SAFH 293 108 0 1 1.3E+04 50 2.4E+09 136.532 109 SAFH 295 109 0 1 1.5E+04 49 3E+09 136.532 110 SAFH 296 110 0 1 1.2E+04 49 1.5E+09 136.532 111 SAFH 298 111 0 1 1.3E+04 49 7.5E+09 136.532 112 SAFH 300 112 0 1 8.5E+03 49 3.8E+09 136.532 113 SAFH 303 113 0 1 1.6E+04 48 2.8E+09 136.532 114 SAFH 305 114 0 1 1.4E+04 49 1.5E+09 136.532 115 SAFH 306 115 0 1 1.2E+04 49 1.1E+09 136.532 116 SAFH 316 116 0 1 1.7E+04 49 1.5E+09 136.532 117 SAFH 318 117 0 1 1.4E+04 48 1.9E+11 136.532 118 SAFH 319 118 0 1 1E+04 48 2.6E+09 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 321 119 0 1 1.4E+04 49 7.4E+08 136.532 120 SAFH 323 120 0 1 1E+04 49 1.3E+09 136.532 121 SAFH 326 121 0 1 1.1E+04 49 1.2E+10 136.532 122 SAFH 327 122 0 1 1.3E+04 49 3.7E+08 136.532 123 SAFH 332 123 0 1 1.2E+04 49 9.9E+08 136.532 124 SAFH 335 124 0 1 1.4E+04 48 5.9E+09 133.152 125 SAFH 336 125 0 1 1.5E+04 49 3E+09 136.532 126 SAFH 338 126 0 1 1.5E+04 49 2.1E+09 136.532 127 SAFH 341 127 0 1 1.4E+04 47 9.7E+08 136.532 128 SAFH 345 128 0 1 1.6E+04 49 7.1E+09 136.532 129 SAFH 346 129 0 1 1E+04 49 1.4E+09 136.532 130 SAFH 348 130 0 1 1.2E+04 49 5E+08 136.532 131 SAFH 350 131 0 1 1.3E+04 49 3E+09 136.532 132 SAFH 351 132 0 1 1.1E+04 49 2E+11 136.532 133 SAFH 352 133 0 1 5.6E+03 49 9.8E+10 136.532 134 SAFH 353 134 0 1 7.2E+03 49 9.5E+10 136.532 135 SAFH 355 135 0 1 1.1E+04 49 2.4E+10 136.532 136 SAFH 356 136 0 1 1.5E+04 49 4.8E+10 136.532 137 SAFH 358 137 0 1 1.3E+04 49 1.5E+10 136.532 138 SAFH 359 138 0 1 7.5E+03 49 7.5E+09 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 360 139 0 1 8.7E+03 49 2.4E+10 136.532 140 SAFH 361 140 0 1 1E+04 49 3.8E+09 136.532 141 SAFH 363 141 0 1 9.2E+03 49 1.1E+09 136.532 142 SAFH 364 142 0 1 1.2E+04 49 3.1E+10 136.532 143 SAFH 365 143 0 1 9.7E+03 49 5.4E+08 136.532 144 SAFH 367 144 0 1 1.3E+04 49 8.8E+08 136.532 145 SAFH 369 145 0 1 1.3E+04 49 1.9E+09 136.532 146 SAFH 371 146 0 1 9.6E+03 49 8.4E+08 136.532 147 SAFH 372 147 0 1 1E+04 49 3E+08 136.532 148 SAFH 377 148 0 1 1.5E+04 49 3.9E+09 136.532 149 SAFH 379 149 0 1 1.1E+04 49 9.4E+08 136.532 150 SAFH 381 150 0 1 1.6E+04 48 2.6E+09 136.532 151 SAFH 382 151 0 1 1.4E+04 47 3.5E+09 135.384 152 SAFH 383 152 0 1 1.3E+04 48 4.8E+08 136.532 153 SAFH 387 153 0 1 1.5E+04 49 3.1E+10 136.532 154 SAFH 388 154 0 1 1.4E+04 48 1.4E+09 136.532 155 SAFH 389 155 0 1 1.5E+04 49 3.1E+10 136.532 156 SAFH 391 156 0 1 1.2E+04 49 7.7E+09 136.532 157 SAFH 392 157 0 1 7.6E+03 49 5.9E+09 136.532 158 SAFH 393 158 0 1 1.1E+04 49 3.3E+08 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 396 159 0 1 1.4E+04 47 1.7E+08 136.532 160 SAFH 398 160 0 1 1.2E+04 49 1.3E+09 136.532 161 SAFH 399 161 0 1 1.4E+04 49 3.9E+09 136.532 162 SAFH 400 162 0 1 1.3E+04 49 4.8E+08 136.532 163 SAFH 402 163 0 1 1.4E+04 49 1.8E+09 136.532 164 SAFH 404 164 0 1 1.1E+04 49 7.1E+08 136.532 165 SAFH 405 165 0 1 1.1E+04 49 1.9E+09 136.532 166 SAFH 406 166 0 1 1.4E+04 47 1.9E+09 136.532 167 SAFH 407 167 0 1 1.2E+04 48 6.5E+08 136.532 168 SAFH 408 168 0 1 8.1E+03 48 2.8E+08 135.384 169 SAFH 411 169 0 1 1.4E+04 49 1.5E+09 136.532 170 SAFG 413 170 0 1 6.1E+04 0 9.1E-13 136.532 170 FOUND SOLUTION: 136.532 (NLP) in 16 sec. 171 SAFH 413 170 0 1 5.5E+04 49 4.2E+08 136.532 172 SAFH 415 171 0 1 1.1E+04 49 8.8E+08 136.532 173 SAFH 416 172 0 1 1.3E+04 48 7.4E+08 136.532 174 SAFH 417 173 0 1 1.3E+04 49 2.5E+08 136.532 175 SAFH 420 174 0 1 1E+04 49 4.4E+08 136.532 176 SAFH 422 175 0 1 1.2E+04 49 1.2E+08 136.532 177 SAFH 426 176 0 1 1.3E+04 49 1.5E+09 136.532 178 SAFH 427 177 0 1 1.1E+04 49 1.4E+08 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 430 178 0 1 1.2E+04 49 1.9E+08 136.532 180 SAFH 433 179 0 1 1.2E+04 49 2.4E+08 136.532 181 SAFH 435 180 0 1 1.3E+04 48 2.7E+08 136.532 182 SAFH 438 181 0 1 1.2E+04 49 3.7E+08 136.532 183 SAFH 440 182 0 1 1.4E+04 49 1.2E+10 136.532 184 SAFH 441 183 0 1 9.5E+03 49 1.5E+09 136.532 185 SAFH 443 184 0 1 7.4E+03 48 7.4E+08 136.532 186 SAFH 445 185 0 1 1.3E+04 49 6.1E+09 136.532 187 SAFH 446 186 0 1 1.2E+04 49 3.7E+08 136.532 188 SAFH 449 187 0 1 2E+04 49 1.4E+08 136.532 189 SAFH 452 188 0 1 1.6E+04 49 6.8E+07 136.532 190 SAFH 459 189 0 1 1.6E+04 48 1.4E+08 136.532 191 SAFH 462 190 0 1 1.7E+04 49 2.1E+08 136.532 192 SAFH 464 191 0 1 1.4E+04 49 1.8E+08 136.532 193 SAFH 466 192 0 1 1.1E+04 49 1.9E+08 136.532 194 SAFH 467 193 0 1 1.2E+04 48 3.5E+07 136.532 195 SAFH 473 194 0 1 1.4E+04 49 3E+09 136.532 196 SAFH 474 195 0 1 8.9E+03 49 3.4E+09 136.532 197 SAFH 475 196 0 1 5.7E+03 49 1.2E+08 136.532 198 SAFH 478 197 0 1 1.4E+04 49 7.1E+07 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 482 198 0 1 1E+04 49 3.7E+08 136.532 200 SAFH 483 199 0 1 6.8E+03 49 3.3E+08 136.532 201 SAFH 484 200 0 0.5 8E+03 49 1.8E+08 136.532 202 SAFH 486 201 0 0.5 1E+04 48 3.8E+08 136.532 203 SAFH 487 202 0 0.5 1.3E+04 48 1.8E+08 136.532 204 SAFH 489 203 0 0.5 1.6E+04 49 4.4E+08 136.532 205 SAFH 490 204 0 0.5 6.7E+03 48 1.9E+08 136.532 206 SAFH 491 205 0 0.5 1E+04 47 6.5E+07 136.532 207 SAFH 494 206 0 0.5 1.2E+04 49 1.2E+10 136.532 208 SAFH 495 207 0 0.5 5.9E+03 48 2.2E+08 136.532 209 SAFH 496 208 0 0.5 5.7E+03 48 9.2E+07 136.532 210 SAFH 497 209 0 0.5 1.1E+04 48 8.8E+07 136.532 211 SAFH 498 210 0 0.5 1.2E+04 49 3.1E+09 136.532 212 SAFH 499 211 0 0.5 1.2E+04 49 9.3E+07 136.532 213 SAFH 501 212 0 0.5 1.3E+04 48 1.6E+08 136.532 214 SAFH 502 213 0 0.5 1.3E+04 49 1.7E+09 136.532 215 SAFH 503 214 0 0.5 1E+04 49 4.6E+07 136.532 216 SAFH 507 215 0 0.5 1.3E+04 49 1.1E+08 136.532 217 SAFH 509 216 0 0.5 9.6E+03 49 2E+07 136.532 218 SAFH 517 217 0 0.5 2.1E+04 49 7.4E+08 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 519 218 0 0.5 8E+03 49 3.7E+08 136.532 220 SAFH 521 219 0 0.5 6.9E+03 49 1.2E+08 136.532 221 SAFH 522 220 0 0.5 1.1E+04 49 9.6E+08 136.532 222 SAFH 523 221 0 0.5 5.7E+03 49 4.8E+08 136.532 223 SAFH 524 222 0 0.5 6.7E+03 49 1.5E+10 136.532 224 SAFH 525 223 0 0.5 8.2E+03 49 2.4E+08 136.532 225 SAFH 526 224 0 0.5 1.3E+04 45 4.3E+11 128.724 226 SAFH 528 225 0 0.5 1.3E+04 48 1.2E+08 136.532 227 SAFH 529 226 0 0.5 1.2E+04 49 3.4E+07 136.532 228 SAFH 531 227 0 0.5 1E+04 49 5.5E+07 136.532 229 SAFH 533 228 0 0.5 1.1E+04 48 3E+07 136.532 230 SAFG 535 229 0 0.5 6.2E+04 0 5.5E-12 133.152 230 FOUND SOLUTION: 133.152 (NLP) in 30 sec. 231 SAFH 535 229 0 0.5 5.5E+04 46 1.5E+09 133.152 232 SAFH 536 230 0 0.5 9.6E+03 48 6E+09 136.532 233 SAFH 537 231 0 0.5 7E+04 48 1.4E+11 134.931 234 SAFH 538 232 0 0.5 7E+04 48 9.4E+07 136.532 235 SAFH 540 233 0 0.5 4.7E+03 48 4.4E+07 136.532 236 SAFH 542 234 0 0.5 1.5E+04 48 1.7E+07 136.532 237 SAFH 548 235 0 0.5 1.1E+04 49 1.6E+07 136.532 238 SAFH 551 236 0 0.5 1.2E+04 49 9.2E+07 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 553 237 0 0.5 1.4E+04 49 1.5E+09 136.532 240 SAFH 555 238 0 0.5 1.3E+04 48 1.1E+08 136.532 241 SAFH 556 239 0 0.5 1.3E+04 49 3E+07 136.532 242 SAFH 559 240 0 0.5 1.4E+04 49 4.6E+07 136.532 243 SAFH 560 241 0 0.5 1.1E+04 49 8.7E+06 136.532 244 SAFH 565 242 0 0.5 1.2E+04 49 8.1E+06 136.532 245 SAFH 568 243 0 0.5 8.5E+03 49 6E+07 136.532 246 SAFH 569 244 0 0.5 1.3E+04 49 5.9E+07 136.532 247 SAFH 570 245 0 0.5 1E+04 49 3E+09 136.532 248 SAFH 571 246 0 0.5 1E+04 49 1.5E+07 136.532 249 SAFH 572 247 0 0.5 1.1E+04 48 2.9E+06 136.532 250 SAFH 575 248 0 0.5 1.1E+04 48 2E+07 136.532 251 SAFH 576 249 0 0.5 7.5E+03 48 1.5E+09 136.532 252 SAFH 577 250 0 0.5 5.3E+03 49 7.5E+08 136.532 253 SAFH 578 251 0 0.5 8.9E+03 49 5.5E+07 136.532 254 SAFH 579 252 0 0.5 1.2E+04 48 7.1E+08 136.532 255 SAFH 580 253 0 0.5 1E+04 48 7.4E+08 136.532 256 SAFH 581 254 0 0.5 8.3E+03 49 7E+07 136.532 257 SAFH 582 255 0 0.5 9.1E+03 48 3.5E+08 136.532 258 SAFH 583 256 0 0.5 1E+04 48 3.5E+07 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 259 SAFH 584 257 0 0.5 9.2E+03 48 1.8E+08 136.532 260 SAFH 585 258 0 0.5 9.9E+03 48 8.8E+07 136.532 261 SAFH 587 259 0 0.5 1.2E+04 48 3.8E+08 136.532 262 SAFH 588 260 0 0.5 5.3E+03 48 2.2E+07 136.532 263 SAFH 590 261 0 0.5 1.2E+04 48 3.7E+08 136.532 264 SAFH 591 262 0 0.5 5.3E+03 49 8.4E+06 136.532 265 SAFH 594 263 0 0.5 1.4E+04 49 1.6E+07 136.532 266 SAFH 596 264 0 0.5 1.3E+04 49 7.8E+06 136.532 267 SAFH 598 265 0 0.5 1.4E+04 48 1.7E+07 133.252 268 SAFH 599 266 0 0.5 1.1E+04 48 1E+07 133.252 269 SAFH 602 267 0 0.5 1.4E+04 47 4.7E+07 133.152 270 SAFH 603 268 0 0.5 1.2E+04 50 3.8E+08 136.532 271 SAFH 604 269 0 0.5 8E+03 49 2.3E+07 136.532 272 SAFH 606 270 0 0.5 1.4E+04 49 3.5E+07 136.532 273 SAFH 608 271 0 0.5 9.7E+03 49 1.1E+07 136.532 274 SAFH 609 272 0 0.5 1.1E+04 49 5.9E+07 136.532 275 SAFH 610 273 0 0.5 1.1E+04 49 5.3E+07 136.532 276 SAFH 612 274 0 0.5 1.1E+04 49 2.6E+07 136.532 277 SAFH 613 275 0 0.5 6.5E+03 49 1.3E+07 136.532 278 SAFH 614 276 0 0.5 1E+04 49 2.9E+07 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 279 SAFH 615 277 0 0.5 1.2E+04 49 6.6E+06 136.532 280 SAFH 619 278 0 0.5 1.5E+04 48 8.7E+06 133.252 281 SAFH 622 279 0 0.5 1.3E+04 49 2.7E+06 136.532 282 SAFH 627 280 0 0.5 1.2E+04 49 9.2E+06 136.532 283 SAFH 628 281 0 0.5 8.7E+03 49 3.8E+06 136.532 284 SAFH 632 282 0 0.5 1.3E+04 48 5.1E+06 136.532 285 SAFH 633 283 0 0.5 8.4E+03 48 2.4E+07 136.532 286 SAFH 634 284 0 0.5 8.8E+03 49 1.2E+07 136.532 287 SAFH 635 285 0 0.5 9.4E+03 49 5.5E+06 136.532 288 SAFH 637 286 0 0.5 1.2E+04 49 1.5E+07 136.532 289 SAFH 639 287 0 0.5 1.4E+04 49 5.9E+09 136.532 290 SAFH 640 288 0 0.5 6.6E+03 49 3E+09 136.532 291 SAFH 641 289 0 0.5 1.1E+04 49 2.8E+07 136.532 292 SAFH 643 290 0 0.5 1.1E+04 49 7.6E+08 136.532 293 SAFH 644 291 0 0.5 5.1E+03 49 1.5E+09 136.532 294 SAFH 645 292 0 0.5 7.1E+03 49 3.8E+08 136.532 295 SAFH 646 293 0 0.5 8.2E+03 49 7.4E+08 136.532 296 SAFH 647 294 0 0.5 1.1E+04 49 3.7E+08 136.532 297 SAFH 648 295 0 0.5 1.3E+04 49 2.3E+07 136.532 298 SAFH 650 296 0 0.5 1.1E+04 49 2E+06 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 299 SAFH 655 297 0 0.5 1.6E+04 49 1.9E+08 136.532 300 SAFH 656 298 0 0.5 1E+04 49 9.3E+07 136.532 301 SAFH 657 299 0 0.5 1.1E+04 49 7.8E+06 136.532 302 SAFH 660 300 0 0.5 1.5E+04 49 4.6E+07 136.532 303 SAFH 662 301 0 0.5 9.8E+03 48 2.3E+07 136.532 304 SAFH 663 302 0 0.5 6.8E+03 49 1.5E+07 136.532 305 SAFH 664 303 0 0.5 1.1E+04 49 7.4E+06 136.532 306 SAFH 666 304 0 0.5 1.3E+04 49 3.3E+06 136.532 307 SAFH 668 305 0 0.5 1.5E+04 49 7.4E+06 136.532 308 SAFH 669 306 0 0.5 1.1E+04 49 3.9E+06 136.532 309 SAFH 673 307 0 0.5 1.4E+04 49 1.9E+06 136.532 310 SAFH 677 308 0 0.5 1.5E+04 49 5.8E+06 136.532 311 SAFH 678 309 0 0.5 1.2E+04 48 1.9E+08 136.532 312 SAFH 679 310 0 0.5 1E+04 48 1.8E+07 136.532 313 SAFH 681 311 0 0.5 8.3E+03 48 5.9E+06 136.532 314 SAFH 683 312 0 0.5 1.1E+04 49 2.9E+06 136.532 315 SAFH 686 313 0 0.5 1.2E+04 48 2.8E+06 136.532 316 SAFH 688 314 0 0.5 1.4E+04 48 1.2E+07 136.532 317 SAFH 689 315 0 0.5 6E+03 49 2.3E+06 136.532 318 SAFH 691 316 0 0.5 1.1E+04 49 6.9E+06 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 319 SAFH 692 317 0 0.5 1.1E+04 49 3.7E+06 136.532 320 SAFH 693 318 0 0.5 1.2E+04 49 1.9E+08 136.532 321 SAFH 694 319 0 0.5 9.9E+03 49 1.9E+06 136.532 322 SAFH 697 320 0 0.5 1.3E+04 49 1.2E+07 136.532 323 SAFH 698 321 0 0.5 9.3E+03 48 7.2E+05 136.532 324 SAFH 704 322 0 0.5 1.2E+04 48 4.2E+08 133.152 325 SAFH 705 323 0 0.5 1.2E+04 48 4.4E+07 136.532 326 SAFH 706 324 0 0.5 1.1E+04 49 2.1E+08 136.532 327 SAFH 708 325 0 0.5 9.8E+03 49 5.8E+06 136.532 328 SAFH 710 326 0 0.5 1.3E+04 47 8.8E+06 130.257 329 SAFH 711 327 0 0.5 1.5E+04 49 1.1E+08 136.532 330 SAFH 712 328 0 0.5 1.1E+04 49 1.7E+06 136.532 331 SAFH 716 329 0 0.5 1.3E+04 48 1.9E+08 136.532 332 SAFH 717 330 0 0.5 7.6E+03 49 1.4E+06 136.532 333 SAFH 720 331 0 0.5 1.4E+04 45 2.9E+06 129.872 334 SAFH 721 332 0 0.5 8.9E+03 48 4.4E+06 136.532 335 SAFH 722 333 0 0.5 9.2E+03 49 1.5E+06 136.532 336 SAFH 725 334 0 0.5 1.7E+04 49 1E+06 136.532 337 SAFH 728 335 0 0.5 1.4E+04 48 8.6E+05 136.532 338 SAFH 730 336 0 0.5 1.3E+04 49 1.9E+08 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 339 SAFH 731 337 0 0.5 9.4E+03 48 3.3E+05 136.532 340 SAFH 735 338 0 0.5 1.3E+04 48 9.7E+05 136.532 341 SAFH 739 339 0 0.5 1.3E+04 49 1.9E+06 136.532 342 SAFH 740 340 0 0.5 9E+03 49 4.7E+05 136.532 343 SAFH 745 341 0 0.5 1.7E+04 48 2.3E+07 136.532 344 SAFH 746 342 0 0.5 1.1E+04 49 7.2E+05 136.532 345 SAFH 751 343 0 0.5 1.5E+04 49 1.2E+07 136.532 346 SAFH 752 344 0 0.5 9.3E+03 47 9.5E+07 129.384 347 SAFH 753 345 0 0.5 7.7E+03 46 5.8E+06 129.384 348 SAFH 754 346 0 0.5 4.9E+03 47 2.9E+06 129.384 349 SAFH 755 347 0 0.5 9E+03 48 3.7E+06 136.532 350 SAFH 757 348 0 0.5 7.6E+03 48 1.8E+06 136.532 351 SAFH 759 349 0 0.5 1.3E+04 49 2.2E+07 136.532 352 SAFH 760 350 0 0.5 7.4E+03 49 2.2E+06 136.532 353 SAFH 763 351 0 0.5 1E+04 49 5.3E+05 136.532 354 SAFG 765 352 0 0.5 6.4E+04 0 4.5E-13 130.533 354 FOUND SOLUTION: 130.533 (NLP) in 67 sec. 355 SAFH 765 352 0 0.5 5.5E+04 47 9.3E+07 130.533 356 SAFH 766 353 0 0.5 1.2E+04 46 4.3E+05 126.856 357 SAFH 768 354 0 0.5 1.2E+04 49 1.1E+07 136.532 358 SAFH 769 355 0 0.5 4.4E+03 49 2.9E+06 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 359 SAFH 770 356 0 0.5 1.1E+04 49 1.1E+06 136.532 360 SAFH 771 357 0 0.5 7.6E+03 49 2.9E+05 136.532 361 SAFH 778 358 0 0.5 1.1E+04 48 4.8E+07 136.532 362 SAFH 779 359 0 0.5 9.9E+02 48 4.7E+05 136.532 363 SAFH 781 360 0 0.5 1.1E+04 47 1.4E+05 133.152 364 SAFH 785 361 0 0.5 1.3E+04 47 9.2E+05 133.152 365 SAFH 786 362 0 0.5 1.1E+04 49 4.1E+05 136.532 366 SAFH 789 363 0 0.5 1.7E+04 48 9.7E+05 134.832 367 SAFH 790 364 0 0.5 1E+04 48 3.2E+05 134.832 368 SAFH 792 365 0 0.5 1.3E+04 48 4.8E+05 136.532 369 SAFH 793 366 0 0.5 7.6E+03 48 1.3E+05 136.532 370 SAFH 795 367 0 0.5 1.1E+04 49 9.4E+07 136.532 371 SAFH 796 368 0 0.5 5.2E+03 48 4.7E+07 136.532 372 SAFH 797 369 0 0.5 8.7E+03 49 2.4E+07 136.532 373 SAFH 798 370 0 0.5 4.6E+03 48 1.2E+07 136.532 374 SAFH 799 371 0 0.5 7.5E+03 49 7.5E+06 136.532 375 SAFH 802 372 0 0.5 1.5E+04 49 3.6E+05 136.532 376 SAFH 804 373 0 0.5 1.1E+04 47 4.6E+07 136.532 377 SAFH 805 374 0 0.5 5.3E+03 47 2.3E+07 136.532 378 SAFH 806 375 0 0.5 6.2E+03 47 1.2E+07 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 379 SAFH 807 376 0 0.5 1.4E+04 48 3.2E+05 135.384 380 SAFH 808 377 0 0.5 1.3E+04 49 3.4E+06 136.532 381 SAFH 809 378 0 0.5 9.5E+03 49 2.9E+06 136.532 382 SAFH 810 379 0 0.5 1.1E+04 48 3.4E+05 136.532 383 SAFH 812 380 0 0.5 8.6E+03 49 1.4E+05 136.532 384 SAFH 816 381 0 0.5 1.4E+04 48 7.3E+05 136.532 385 SAFH 817 382 0 0.5 1.7E+04 48 1.5E+06 136.532 386 SAFH 818 383 0 0.5 6.2E+03 48 4.6E+05 136.532 387 SAFH 819 384 0 0.5 9.8E+03 49 7.3E+05 136.532 388 SAFH 820 385 0 0.5 1E+04 48 2.4E+05 136.532 389 SAFH 824 386 0 0.5 1.8E+04 49 9.3E+07 136.532 390 SAFH 825 387 0 0.5 6E+03 49 4.6E+07 136.532 391 SAFH 827 388 0 0.5 8.5E+03 49 1.2E+07 136.532 392 SAFH 828 389 0 0.5 8E+03 49 2.3E+07 136.532 393 SAFH 829 390 0 0.5 4.3E+03 49 6E+06 136.532 394 SAFH 830 391 0 0.5 1.3E+04 48 2.1E+05 136.532 395 SAFH 833 392 0 0.5 1.6E+04 49 5.5E+05 136.532 396 SAFH 834 393 0 0.5 7.7E+03 49 1.7E+06 136.532 397 SAFH 835 394 0 0.5 8.4E+03 49 1.6E+05 136.532 398 SAFH 837 395 0 0.5 1.1E+04 48 5.5E+06 136.532 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 399 SAFH 838 396 0 0.5 8.9E+03 48 9E+04 136.532 400 SAFH 840 397 0 0.5 1.1E+04 49 1.4E+06 136.532 401 SAFH 841 398 0 0.3 1.8E+04 38 5.4E+05 102.982 402 SAFH 842 399 0 0.3 7.8E+03 38 3.7E+05 99.2347 403 SAFH 843 400 0 0.3 9.6E+03 38 2.9E+06 102.655 404 SAFG 844 401 0 0.3 6.8E+04 0 2.7E-12 117.291 404 FOUND SOLUTION: 117.291 (NLP) in 92 sec. 405 SAFH 844 401 0 0.3 5.1E+04 43 2.8E+05 117.291 406 SAFH 845 402 0 0.3 6.7E+04 49 2.7E+05 132.765 407 SAFH 848 403 0 0.3 6.8E+04 45 6.3E+04 119.999 408 SAFH 852 404 0 0.3 6.6E+04 46 2.4E+05 121.585 409 SAFH 853 405 0 0.3 6.9E+04 47 1.5E+06 130.459 410 SAFH 855 406 0 0.3 7.1E+04 39 9.2E+05 102.619 411 SAFH 856 407 0 0.3 6.7E+04 45 1.5E+06 122.714 412 SAFH 857 408 0 0.3 6.8E+04 46 5.8E+06 121.932 413 SAFH 859 409 0 0.3 6.7E+04 43 7.9E+04 115.218 414 SAFH 861 410 0 0.3 6.8E+04 48 1.8E+05 128.997 415 SAFH 863 411 0 0.3 6.9E+04 39 2.9E+06 100.657 416 SAFH 865 412 0 0.3 6.8E+04 44 6.9E+04 116.245 417 SAFH 867 413 0 0.3 6.7E+04 39 1.2E+05 104.388 418 SAFH 870 414 0 0.3 1E+04 39 4.3E+05 104.424 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 419 SAFH 871 415 0 0.3 6.9E+04 42 1.2E+05 108.955 420 SAFH 873 416 0 0.3 4E+04 38 7.3E+05 100.847 421 SAFH 874 417 0 0.3 6.7E+04 34 7.2E+05 91.7325 422 SAFH 875 418 0 0.3 7E+04 46 3.6E+05 121.974 423 SAFH 877 419 0 0.3 7.2E+04 48 1.5E+06 132.765 424 SAFH 878 420 0 0.3 7E+04 35 7.9E+04 92.45 425 SAFH 880 421 0 0.3 6.6E+04 42 5.3E+07 117.629 426 SAFH 881 422 0 0.3 4E+04 38 2.1E+05 99.1594 427 SAFH 883 423 0 0.3 4.7E+04 46 3.6E+05 125.999 428 SAFH 884 424 0 0.3 6.6E+04 40 1.8E+05 103.266 429 SAFH 885 425 0 0.3 6.8E+04 42 1.9E+06 110.481 430 SAFH 886 426 0 0.3 1.8E+04 42 6.8E+04 112.307 431 SAFH 888 427 0 0.3 6.7E+04 36 9E+04 95.9345 432 SAFH 890 428 0 0.3 6E+04 36 3.6E+05 94.488 433 SAFH 891 429 0 0.3 6.7E+04 48 6.9E+04 134.226 434 SAFH 894 430 0 0.3 6.8E+04 45 4.5E+04 123.214 435 SAFH 896 431 0 0.3 6.4E+04 42 2.9E+04 108.89 436 SAFH 902 432 0 0.3 6.8E+04 36 4.7E+04 94.4056 437 SAFH 903 433 0 0.3 6.6E+04 35 6.6E+04 96.1357 438 SAFH 906 434 0 0.3 6.7E+04 38 9.1E+04 101.447 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 439 SAFH 907 435 0 0.3 6.3E+04 38 7.3E+05 98.4057 440 SAFH 908 436 0 0.3 6.4E+04 38 4.6E+05 101.629 441 SAFH 909 437 0 0.3 4.5E+04 44 1.2E+07 116.173 442 SAFH 910 438 0 0.3 4.4E+04 37 7.3E+05 102.193 443 SAFH 911 439 0 0.3 6.6E+04 45 3.4E+04 121.652 444 SAFH 915 440 0 0.3 6.6E+04 43 1.1E+04 112.194 445 SAFH 920 441 0 0.3 2.2E+04 36 6E+04 95.9642 446 SAFH 922 442 0 0.3 7E+04 43 1.8E+05 112.876 447 SAFH 923 443 0 0.3 6.5E+04 38 1.4E+06 100.332 448 SAFH 924 444 0 0.3 6.9E+04 49 3.4E+04 132.765 449 SAFH 930 445 0 0.3 6.6E+04 49 3.6E+05 133.565 450 SAFH 931 446 0 0.3 2.5E+04 37 6.9E+05 99.4989 451 SAFH 932 447 0 0.3 1.9E+04 46 2.9E+04 121.335 452 SAFH 937 448 0 0.3 6.7E+04 47 1.1E+04 130.459 453 SAFH 938 449 0 0.3 6.8E+04 36 3.7E+05 99.9578 454 SAFH 939 450 0 0.3 7E+04 48 1.1E+05 130.459 455 SAFH 940 451 0 0.3 6.6E+04 48 2.3E+05 132.765 456 SAFH 941 452 0 0.3 6.8E+04 48 3.4E+05 132.765 457 SAFH 944 453 0 0.3 2.2E+04 48 5.3E+04 130.955 458 SAFH 946 454 0 0.3 1.8E+04 47 1E+04 128.057 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 459 SAFH 955 455 0 0.3 6.8E+04 43 1.5E+04 118.112 460 SAFH 959 456 0 0.3 6.3E+04 46 2.6E+04 126.542 461 SAFH 960 457 0 0.3 6.9E+04 36 1.3E+04 93.1988 462 SAFH 961 458 0 0.3 6.7E+04 49 5.1E+03 135.871 463 SAFH 965 459 0 0.3 7E+04 37 1E+05 96.9332 464 SAFH 969 460 0 0.3 1.6E+04 41 1.1E+05 107.973 465 SAFH 971 461 0 0.3 2.2E+04 37 1E+04 98.1502 466 SAFH 974 462 0 0.3 2.3E+04 39 9.4E+05 103.807 467 SAFH 975 463 0 0.3 6.7E+04 36 2.1E+04 93.9532 468 SAFH 977 464 0 0.3 6.4E+04 35 1.7E+04 89.8605 469 SAFH 979 465 0 0.3 2E+04 46 6.1E+03 120.799 470 SAFH 988 466 0 0.3 1.7E+04 44 8.9E+03 115.918 471 SAFH 989 467 0 0.3 2.2E+04 46 7.1E+03 121.134 472 SAFH 991 468 0 0.3 5.9E+04 39 1.4E+04 103.475 473 SAFG 992 469 0 0.3 4.9E+04 0 9.1E-07 112.946 473 FOUND SOLUTION: 112.946 (NLP) in 274 sec. 474 SAFH 992 469 0 0.3 4.7E+04 42 3E+06 112.946 475 SAFH 993 470 0 0.3 5.8E+04 37 6.8E+03 96.2708 476 SAFH 996 471 0 0.3 6.5E+04 39 1.7E+04 107.372 477 SAFH 997 472 0 0.3 6.8E+04 49 2.5E+04 134.226 478 SAFH 998 473 0 0.3 6.6E+04 44 4.6E+03 119.25 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 479 SAFH 1004 474 0 0.3 6.5E+04 42 7.7E+09 113.755 480 SAFH 1005 475 0 0.3 3.5E+04 49 2.5E+03 132.103 481 SAFH 1009 476 0 0.3 2.7E+04 40 2.3E+03 106.199 482 SAFH 1013 477 0 0.3 5.5E+04 34 1.1E+05 89.6921 483 SAFH 1014 478 0 0.3 5E+04 42 7.3E+03 111.384 484 SAFH 1016 479 0 0.3 5.3E+04 38 2.4E+03 101.709 485 SAFH 1020 480 0 0.3 6.9E+04 42 3.5E+03 113.643 486 SAFH 1025 481 0 0.3 7E+04 40 5E+03 108.428 487 SAFH 1027 482 0 0.3 6.9E+04 43 1.8E+03 115.375 488 SAFH 1042 483 0 0.3 7.1E+04 34 3.7E+04 89.9242 489 SAFH 1043 484 0 0.3 5.7E+03 34 1.8E+04 89.9242 490 SAFH 1044 485 0 0.3 4.9E+04 41 8.9E+03 108.237 491 SAFH 1045 486 0 0.3 5.5E+04 43 2.3E+03 114.643 492 SAFH 1047 487 0 0.3 5.7E+04 39 4.8E+03 103.434 493 SAFH 1048 488 0 0.3 5.3E+04 48 1.7E+03 128.461 494 SAFH 1049 489 0 0.3 5E+04 44 1.3E+04 115.814 495 SAFH 1050 490 0 0.3 3.4E+04 47 9E+02 128.287 496 SAFH 1061 491 0 0.3 5.3E+04 46 1.1E+03 122.075 497 SAFH 1066 492 0 0.3 6.5E+04 50 8.8E+02 135.871 498 SAFH 1077 493 0 0.3 6.6E+04 45 2E+03 119.341 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 499 SAFH 1078 494 0 0.3 4.6E+04 45 1.5E+04 124.611 500 SAFH 1079 495 0 0.3 4.8E+04 42 9.8E+02 114.472 501 SAFH 1084 496 0 0.3 6.4E+04 48 4.4E+02 131.204 502 SAFH 1098 497 0 0.3 6.3E+04 45 9.5E+02 119.367 503 SAFH 1102 498 0 0.3 6E+04 48 3.7E+02 134.171 504 SAFH 1111 499 0 0.3 5.7E+04 48 4E+02 135.871 505 SAFH 1117 500 0 0.3 5.5E+04 41 4.1E+02 114.536 506 SAFH 1122 501 0 0.3 4.4E+04 45 7E+02 122.219 507 SAFH 1124 502 0 0.3 4.8E+04 35 1.4E+03 97.8757 508 SAFH 1126 503 0 0.3 4.5E+04 42 6.7E+02 117.035 509 SAFH 1128 504 0 0.3 5.3E+04 48 2.4E+02 135.871 510 SAFH 1142 505 0 0.3 5.5E+04 36 3.9E+02 102.251 511 SAFH 1147 506 0 0.3 4.6E+04 45 2.7E+02 127.865 512 SAFH 1150 507 0 0.3 3.8E+04 46 3.4E+02 128.461 513 SAFH 1151 508 0 0.3 4.8E+04 43 3.6E+02 120.315 514 SAFH 1159 509 0 0.3 4.8E+04 42 2.2E+02 123.833 515 SAFH 1162 510 0 0.3 4.5E+04 35 1.6E+02 100.486 516 SAFH 1170 511 0 0.3 2.9E+04 35 8.7E+02 101.603 517 SAFH 1171 512 0 0.3 4.8E+04 44 6E+02 121.989 518 SAFH 1172 513 0 0.3 4.5E+04 46 4.2E+02 135.536 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 519 SAFH 1174 514 0 0.3 4.6E+04 37 4.2E+02 110.182 520 SAFH 1176 515 0 0.3 5.2E+04 44 4.4E+02 126.701 521 SAFH 1178 516 0 0.3 5.6E+04 45 2E+02 128.401 522 SAFH 1183 517 0 0.3 5E+04 47 1.1E+02 135.871 523 SAFH 1197 518 0 0.3 5.1E+04 44 94 127.865 524 SAFH 1211 519 0 0.3 5E+04 44 1.5E+02 126.701 525 SAFH 1215 520 0 0.3 5.3E+04 47 78 135.871 526 SAFH 1221 521 0 0.3 9.2E+03 45 91 134.171 527 SAFH 1224 522 0 0.3 5.2E+04 44 85 125.407 528 SAFH 1229 523 0 0.3 4.6E+04 46 1.4E+03 134.171 529 SAFG 1231 524 0 0.3 4.4E+04 0 6.4E-12 112.583 529 FOUND SOLUTION: 112.583 (NLP) in 420 sec. 530 SAFH 1231 524 0 0.3 3.4E+03 39 2.6E+02 112.583 531 SAFH 1234 525 0 0.3 4.5E+04 42 3.3E+03 117.116 532 SAFH 1236 526 0 0.3 5.3E+04 47 1.2E+02 135.209 533 SAFH 1238 527 0 0.3 8E+03 47 44 135.871 534 SAFH 1252 528 0 0.3 5.2E+04 47 85 132.168 535 SAFH 1256 529 0 0.3 5.1E+04 40 93 114.245 536 SAFH 1259 530 0 0.3 4.4E+04 47 1E+02 134.171 537 SAFH 1263 531 0 0.3 4.8E+04 47 91 135.871 538 SAFH 1265 532 0 0.3 5.3E+04 43 2.1E+02 122.651 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 539 SAFH 1266 533 0 0.3 5E+04 47 47 135.209 540 SAFH 1274 534 0 0.3 1.2E+04 46 55 132.103 541 SAFH 1276 535 0 0.3 5.2E+04 39 79 116.243 542 SAFH 1280 536 0 0.3 4.5E+04 44 84 122.015 543 SAFH 1282 537 0 0.3 4.4E+04 42 88 120.841 544 SAFH 1284 538 0 0.3 4.2E+04 36 63 100.682 545 SAFH 1290 539 0 0.3 3.6E+04 42 80 120.326 546 SAFH 1294 540 0 0.3 5E+04 46 28 134.171 547 SAFH 1308 541 0 0.3 5E+04 44 1.1E+02 124.698 548 SAFH 1310 542 0 0.3 4.8E+04 46 67 132.103 549 SAFH 1312 543 0 0.3 4.5E+04 46 28 132.103 550 SAFH 1317 544 0 0.3 4.8E+04 44 59 126.826 551 SAFH 1321 545 0 0.3 4.6E+04 44 9.6E+02 121.764 552 SAFH 1322 546 0 0.3 2E+04 43 49 122.463 553 SAFH 1327 547 0 0.3 4.3E+04 41 1.1E+02 115.18 554 SAFH 1328 548 0 0.3 4.1E+04 44 48 125.493 555 SAFG 1334 549 0 0.3 4.1E+04 0 2E-09 98.4917 555 FOUND SOLUTION: 98.4917 (NLP) in 490 sec. 556 SAFH 1334 549 0 0.3 6E+02 35 59 98.4917 557 SAFH 1335 550 0 0.3 4.4E+04 45 74 126.129 558 SAFH 1339 551 0 0.3 4.5E+04 32 34 98.4917 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 559 SAFH 1343 552 0 0.3 3.4E+03 34 65 98.4917 560 SAFG 1344 553 0 0.3 2.3E+04 0 1.7E-09 98.1978 560 FOUND SOLUTION: 98.1978 (NLP) in 502 sec. 561 SAFH 1344 553 0 0.3 7.3E+02 32 73 98.1978 562 SAFH 1345 554 0 0.3 4.4E+04 47 1.4E+02 134.832 563 SAFH 1346 555 0 0.3 3.9E+04 48 93 135.871 564 SAFH 1350 556 0 0.3 5E+04 43 27 126.701 565 SAFH 1354 557 0 0.3 4.5E+04 36 4.7E+02 108.577 566 SAFH 1355 558 0 0.3 3.7E+04 46 2.9E+02 128.461 567 SAFH 1357 559 0 0.3 3.8E+04 46 40 134.171 568 SAFH 1362 560 0 0.3 2.5E+04 45 51 132.765 569 SAFH 1365 561 0 0.3 4E+04 34 3.2E+02 101.662 570 SAFH 1366 562 0 0.3 4.8E+04 45 32 133.51 571 SAFH 1370 563 0 0.3 4.8E+04 44 23 124.698 572 SAFH 1375 564 0 0.3 4.6E+04 45 90 124.585 573 SAFH 1378 565 0 0.3 4.2E+04 32 35 98.1978 574 SAFH 1386 566 0 0.3 2.1E+04 34 60 101.467 575 SAFH 1390 567 0 0.3 2.2E+04 33 23 98.1978 576 SAFH 1394 568 0 0.3 5E+04 46 15 132.765 577 SAFH 1408 569 0 0.3 4.6E+04 47 24 132.103 578 SAFH 1410 570 0 0.3 4.4E+04 43 1.9E+02 121.204 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 579 SAFH 1413 571 0 0.3 5E+04 48 2.3E+02 135.274 580 SAFH 1414 572 0 0.3 4.9E+04 47 88 135.274 581 SAFH 1416 573 0 0.3 5E+04 47 2.7E+02 135.871 582 SAFH 1418 574 0 0.3 4.9E+04 46 15 132.103 583 SAFH 1421 575 0 0.3 5.3E+04 36 1.1E+02 101.366 584 SAFH 1423 576 0 0.3 4.9E+04 46 25 132.765 585 SAFH 1425 577 0 0.3 4.8E+04 45 31 127.865 586 SAFH 1430 578 0 0.3 4.4E+04 45 36 127.804 587 SAFH 1432 579 0 0.3 4.3E+04 44 24 121.509 588 SAFH 1438 580 0 0.3 4.5E+04 44 2.9E+02 122.686 589 SAFH 1439 581 0 0.3 3.9E+04 45 11 128.401 590 SAFH 1446 582 0 0.3 4.7E+04 47 32 132.765 591 SAFH 1448 583 0 0.3 5.1E+04 45 8.5E+02 125.442 592 SAFH 1449 584 0 0.3 4.2E+04 45 3.6E+02 125.442 593 SAFH 1451 585 0 0.3 3.4E+04 34 33 101.662 594 SAFH 1454 586 0 0.3 1.7E+03 34 17 101.662 595 SAFH 1460 587 0 0.3 5E+04 47 10 135.871 596 SAFH 1466 588 0 0.3 4.9E+04 44 3.3E+02 124.698 597 SAFH 1467 589 0 0.3 2.3E+04 43 74 126.761 598 SAFH 1468 590 0 0.3 2.7E+04 45 19 127.804 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 599 SAFH 1470 591 0 0.3 4.9E+04 45 60 128.824 600 SAFH 1471 592 0 0.3 4.7E+04 44 1.7E+02 123.569 601 SAFH 1473 593 0 0.3 3.8E+04 32 60 101.998 602 SAFH 1474 594 0 0.3 1.2E+04 36 57 101.366 603 SAFH 1476 595 0 0.3 3.9E+04 45 2E+03 130.403 604 SAFH 1477 596 0 0.3 4.3E+04 33 22 101.788 605 SAFH 1481 597 0 0.3 3.9E+04 45 1.1E+02 124.698 606 SAFH 1482 598 0 0.3 3.7E+04 34 22 101.662 607 SAFH 1484 599 0 0.3 3.5E+04 45 90 128.401 608 SAFH 1485 600 0 0.3 3.2E+04 43 1.7E+02 117.971 609 SAFH 1486 601 0 0.3 2.7E+04 42 21 118.189 610 SAFH 1493 602 0 0.3 4.2E+04 35 46 101.113 611 SAFH 1495 603 0 0.3 4.5E+04 43 22 126.701 612 SAFH 1498 604 0 0.3 4.6E+04 45 12 129.807 613 SAFH 1506 605 0 0.3 4.8E+04 43 14 119.09 614 SAFH 1510 606 0 0.3 4.6E+04 47 15 135.871 615 SAFH 1516 607 0 0.3 1.2E+04 47 13 135.871 616 SAFH 1520 608 0 0.3 5.1E+04 35 41 101.366 617 SAFH 1522 609 0 0.3 5.1E+04 47 6 135.871 618 SAFH 1536 610 0 0.3 4.9E+04 45 66 128.401 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 619 SAFH 1537 611 0 0.3 2.1E+04 45 1.2E+02 124.806 620 SAFH 1538 612 0 0.3 3E+04 43 2.4E+02 124.806 621 SAFH 1539 613 0 0.3 4.5E+04 32 16 98.4917 622 SAFH 1546 614 0 0.3 3.4E+04 42 48 115.271 623 SAFH 1547 615 0 0.3 1.2E+04 42 51 115.271 624 SAFH 1549 616 0 0.3 3.6E+04 41 1.1E+02 115.312 625 SAFH 1550 617 0 0.3 2.2E+04 41 2.3E+02 115.312 626 SAFH 1551 618 0 0.3 3.9E+04 43 35 118.761 627 SAFH 1553 619 0 0.3 4.7E+04 45 14 128.401 628 SAFH 1555 620 0 0.3 4.6E+04 43 27 126.165 629 SAFH 1558 621 0 0.3 4.7E+04 34 7.2 101.662 630 SAFH 1566 622 0 0.3 3.8E+04 41 29 115.495 631 SAFH 1568 623 0 0.3 4.1E+04 40 29 114.245 632 SAFH 1571 624 0 0.3 3.4E+04 33 4.8 101.662 633 SAFH 1579 625 0 0.3 5E+04 44 8.6 128.401 634 SAFH 1588 626 0 0.3 4.4E+04 44 95 124.698 635 SAFH 1589 627 0 0.3 1.4E+04 44 25 124.698 636 SAFH 1591 628 0 0.3 4.5E+04 36 21 101.467 637 SAFH 1594 629 0 0.3 4.5E+04 44 7.4 129.807 638 SAFH 1602 630 0 0.3 4.5E+04 36 9.6 101.467 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 639 SAFH 1607 631 0 0.3 5.1E+04 46 6.1 128.723 640 SAFH 1615 632 0 0.3 4.6E+04 47 42 135.871 641 SAFH 1617 633 0 0.3 4.8E+04 46 7.4 128.401 642 SAFH 1627 634 0 0.3 4.9E+04 43 64 127.823 643 SAFH 1629 635 0 0.3 4.5E+04 34 42 101.366 644 SAFH 1630 636 0 0.3 4.3E+04 43 33 121.5 645 SAFH 1634 637 0 0.3 4.5E+04 45 13 128.401 646 SAFH 1637 638 0 0.3 4.7E+04 48 72 135.871 647 SAFH 1641 639 0 0.3 4.5E+04 46 5.3 132.765 648 SAFH 1649 640 0 0.3 5.1E+04 45 5.3E+02 126.701 649 SAFH 1650 641 0 0.3 5E+04 45 5 128.997 650 SAFH 1656 642 0 0.3 4.8E+04 44 33 127.865 651 SAFH 1659 643 0 0.3 4.8E+04 43 56 123.147 652 SAFH 1660 644 0 0.3 4.6E+04 46 12 131.567 653 SAFH 1665 645 0 0.3 4.9E+04 46 19 132.103 654 SAFH 1667 646 0 0.3 5.1E+04 33 63 101.433 655 SAFH 1669 647 0 0.3 3.4E+04 47 1.2E+02 131.507 656 SAFH 1670 648 0 0.3 7.8E+02 47 33 131.507 657 SAFH 1672 649 0 0.3 5E+04 46 7.1 132.765 658 SAFH 1675 650 0 0.3 5.1E+04 42 6.6 121.966 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 659 SAFH 1683 651 0 0.3 3.9E+04 46 1.2E+02 132.103 660 SAFH 1684 652 0 0.3 6.5E+03 46 38 132.103 661 SAFH 1686 653 0 0.3 5.1E+04 44 3E+02 127.124 662 SAFH 1687 654 0 0.3 4.6E+03 44 90 127.124 663 SAFH 1688 655 0 0.3 4.9E+04 47 23 135.209 664 SAFH 1693 656 0 0.3 4.5E+04 33 20 102.017 665 SAFH 1697 657 0 0.3 2.6E+04 36 11 101.366 666 SAFH 1701 658 0 0.3 4.3E+04 43 16 127.925 667 SAFH 1703 659 0 0.3 4.3E+04 46 12 131.507 668 SAFH 1704 660 0 0.3 4.9E+04 43 13 122.015 669 SAFH 1706 661 0 0.3 4.8E+04 44 4.8 130.403 670 SAFH 1714 662 0 0.3 4.8E+04 34 7.9 101.662 671 SAFH 1715 663 0 0.3 1.9E+02 34 3.4 101.662 672 SAFH 1719 664 0 0.3 4.8E+04 45 20 124.948 673 SAFH 1722 665 0 0.3 4.6E+04 43 27 126.701 674 SAFH 1723 666 0 0.3 3.8E+04 32 6.4 101.788 675 SAFH 1732 667 0 0.3 2.2E+04 33 8.2 98.1978 676 SAFH 1739 668 0 0.3 4.1E+04 44 20 124.698 677 SAFH 1741 669 0 0.3 3.9E+04 45 3.5 124.698 678 SAFH 1751 670 0 0.3 4.6E+04 36 15 101.467 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 679 SAFH 1752 671 0 0.3 2.6E+03 34 5.4 101.467 680 SAFH 1760 672 0 0.3 5E+04 47 3.5 131.93 681 SAFH 1768 673 0 0.3 4.5E+04 47 4.3 135.209 682 SAFH 1771 674 0 0.3 4.8E+04 47 40 135.871 683 SAFH 1772 675 0 0.3 4.7E+04 45 5.5 128.461 684 SAFH 1775 676 0 0.3 4.6E+04 44 4.2E+02 126.761 685 SAFH 1776 677 0 0.3 3.2E+04 44 56 126.761 686 SAFH 1778 678 0 0.3 3.9E+04 42 35 119.47 687 SAFH 1779 679 0 0.3 1.5E+03 42 11 119.47 688 SAFH 1783 680 0 0.3 4.1E+04 41 12 118.229 689 SAFH 1788 681 0 0.3 4.1E+04 45 1.8E+02 124.698 690 SAFH 1789 682 0 0.3 3.8E+04 44 5.5 124.698 691 SAFH 1793 683 0 0.3 4.9E+04 44 1.4E+02 127.297 692 SAFH 1794 684 0 0.3 6.4E+03 44 32 127.297 693 SAFH 1795 685 0 0.3 4.8E+04 44 1.2E+02 127.124 694 SAFH 1796 686 0 0.3 0.47 44 9.7 127.124 695 SAFH 1800 687 0 0.3 4.5E+04 35 7.2 101.998 696 SAFH 1805 688 0 0.3 3.4E+04 41 3.8E+02 113.798 697 SAFH 1806 689 0 0.3 2.8E+04 41 41 113.798 698 SAFH 1808 690 0 0.3 4.6E+04 40 7.2 121.075 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 699 SAFH 1814 691 0 0.3 4.6E+04 46 54 128.401 700 SAFH 1815 692 0 0.3 6.4E+03 46 8.3 128.401 701 SAFH 1821 693 0 0.3 4.3E+04 43 16 121.592 702 SAFH 1822 694 0 0.3 3.8E+04 42 78 115.972 703 SAFH 1823 695 0 0.3 4.2E+04 44 7.1 128.461 704 SAFH 1828 696 0 0.3 4.8E+04 34 8 101.467 705 SAFH 1829 697 0 0.3 3.3E+04 46 23 127.804 706 SAFH 1830 698 0 0.3 3E+04 46 61 127.804 707 SAFH 1831 699 0 0.3 4.7E+04 45 6.4 134.171 708 SAFH 1834 700 0 0.3 4.6E+04 46 5.7 134.832 709 SAFH 1837 701 0 0.3 5.1E+04 35 25 98.426 710 SAFH 1838 702 0 0.3 8.6E+03 33 5.4 98.1978 711 SAFH 1840 703 0 0.3 4.9E+04 46 3 132.765 712 SAFH 1847 704 0 0.3 5.1E+04 44 13 126.791 713 SAFH 1850 705 0 0.3 4.7E+04 43 6.6 128.461 714 SAFH 1854 706 0 0.3 4.4E+04 44 6.1 126.701 715 SAFH 1857 707 0 0.3 4.8E+04 47 3.1 135.871 716 SAFH 1861 708 0 0.3 5.2E+04 41 41 113.658 717 SAFH 1864 709 0 0.3 4.3E+04 45 59 124.698 718 SAFH 1865 710 0 0.3 4.8E+04 46 13 128.401 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 719 SAFH 1867 711 0 0.3 5E+04 47 3 135.871 720 SAFH 1875 712 0 0.3 5E+04 35 5.9 104.746 721 SAFH 1879 713 0 0.3 4.7E+04 46 8.5 127.804 722 SAFH 1880 714 0 0.3 4.1E+04 34 4.3E+02 101.026 723 SAFH 1882 715 0 0.3 4.2E+03 35 1.3E+02 101.026 724 SAFH 1884 716 0 0.3 3.8E+04 48 1.2E+02 135.871 725 SAFH 1886 717 0 0.3 4.6E+04 38 5.8 115.019 726 SAFH 1888 718 0 0.3 3.8E+04 34 7 100.682 727 SAFH 1894 719 0 0.3 4.8E+04 47 4.8 135.871 728 SAFH 1896 720 0 0.3 4.9E+04 44 5 127.865 729 SAFH 1901 721 0 0.3 4.8E+04 43 4.2 127.297 730 SAFH 1905 722 0 0.3 4.5E+04 43 6.8 123.529 731 SAFH 1908 723 0 0.3 4.3E+04 36 6.4 101.366 732 SAFH 1912 724 0 0.3 4.3E+04 44 4 126.701 733 SAFH 1920 725 0 0.3 1.2E+04 44 6.5 126.104 734 SAFH 1922 726 0 0.3 4.5E+04 42 5.7 124.212 735 SAFH 1924 727 0 0.3 4.7E+04 36 8.8 101.467 736 SAFH 1925 728 0 0.3 4.3E+04 41 14 122.601 737 SAFH 1927 729 0 0.3 4.9E+04 45 2.3 127.804 738 SAFH 1936 730 0 0.3 4.2E+04 46 2.2 128.401 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 739 SAFH 1945 731 0 0.3 4.7E+04 45 13 128.744 740 SAFH 1948 732 0 0.3 3.4E+04 42 8.3 119.362 741 SAFH 1950 733 0 0.3 4.2E+04 33 7.4 102.017 742 SAFH 1953 734 0 0.3 4.6E+04 44 7.5 126.701 743 SAFH 1954 735 0 0.3 1.1E+02 44 3.1 126.701 744 SAFH 1961 736 0 0.3 4.1E+04 35 13 98.426 745 SAFH 1964 737 0 0.3 3.1E+04 47 8.9 132.103 746 SAFH 1966 738 0 0.3 4.8E+04 46 3.2 135.871 747 SAFH 1968 739 0 0.3 5.1E+04 35 31 103.606 748 SAFH 1969 740 0 0.3 4.4E+04 43 2.9 123.967 749 SAFH 1973 741 0 0.3 2.3E+04 42 31 115.18 750 SAFH 1974 742 0 0.3 4.5E+04 47 2.9 131.507 751 SAFH 1977 743 0 0.3 4.7E+04 34 13 101.467 752 SAFH 1978 744 0 0.3 4.5E+04 45 4 127.804 753 SAFH 1979 745 0 0.3 4.1E+04 40 15 118.189 754 SAFH 1982 746 0 0.3 4.1E+04 35 20 104.423 755 SAFH 1984 747 0 0.3 4.5E+04 44 4.6 128.422 756 SAFH 1986 748 0 0.3 4.9E+04 36 12 101.35 757 SAFH 1990 749 0 0.3 1.8E+03 36 8.3 101.35 758 SAFH 1994 750 0 0.3 5E+04 45 2.5 128.401 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 759 SAFH 2001 751 0 0.3 1.1E+04 44 3.3 124.698 760 SAFH 2003 752 0 0.3 4.3E+04 44 4.7 122.336 761 SAFH 2006 753 0 0.3 4E+04 36 8.2E+02 107.199 762 SAFH 2007 754 0 0.3 1.6E+03 35 4.5 107.199 763 SAFH 2012 755 0 0.3 4.7E+04 45 1.7 125.717 764 SAFH 2027 756 0 0.3 4.5E+04 45 1.9 134.171 765 SAFH 2029 757 0 0.3 4.9E+04 43 23 124.222 766 SAFH 2030 758 0 0.3 1.8E+04 42 5.7 124.222 767 SAFH 2032 759 0 0.3 3.8E+04 36 3.4E+02 101.12 768 SAFH 2033 760 0 0.3 3.9E+04 36 1.4E+11 108.232 769 SAFH 2034 761 0 0.3 3.9E+04 36 2.9 101.35 770 SAFH 2040 762 0 0.3 4.3E+04 44 1.6 126.701 771 SAFH 2051 763 0 0.3 4.3E+04 35 7.5 98.1978 772 SAFH 2054 764 0 0.3 5E+04 45 11 125.121 773 SAFH 2055 765 0 0.3 4.1E+03 45 3.4 125.121 774 SAFH 2059 766 0 0.3 4.9E+04 45 2.9E+02 125.355 775 SAFH 2060 767 0 0.3 4.4E+03 45 8.7 125.355 776 SAFH 2061 768 0 0.3 3.2E+03 45 19 125.355 777 SAFH 2062 769 0 0.3 4.6E+04 46 4.5 132.765 778 SAFH 2063 770 0 0.3 4.6E+04 43 14 122.163 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 779 SAFH 2064 771 0 0.3 3.9E+04 40 2.1 117.505 780 SAFH 2073 772 0 0.3 4.5E+04 44 2.9 123.077 781 SAFH 2077 773 0 0.3 4.2E+04 36 6.4 104.746 782 SAFH 2080 774 0 0.3 4.1E+04 44 1.5 126.722 783 SAFH 2089 775 0 0.3 1.4E+04 44 7.8 124.698 784 SAFH 2090 776 0 0.3 4.5E+04 42 1.2 126.761 785 SAFH 2102 777 0 0.3 4.6E+04 43 2.2 123.616 786 SAFH 2107 778 0 0.3 1.4E+04 44 3.1 127.023 787 SAFH 2108 779 0 0.3 4.8E+04 45 2.4 128.824 788 SAFH 2111 780 0 0.3 4.9E+04 44 32 127.297 789 SAFH 2112 781 0 0.3 5.1E+04 32 24 101.965 790 SAFH 2114 782 0 0.3 3.4E+04 35 5.9 98.426 791 SAFH 2117 783 0 0.3 2.3E+04 33 1.9 101.662 792 SAFH 2124 784 0 0.3 4.7E+04 44 2.1 128.461 793 SAFH 2134 785 0 0.3 2.6E+04 43 5.7 126.527 794 SAFH 2135 786 0 0.3 5.1E+04 35 3.1 101.35 795 SAFH 2141 787 0 0.3 4.3E+04 42 11 121.8 796 SAFH 2142 788 0 0.3 4E+04 34 1.8 101.662 797 SAFH 2151 789 0 0.3 4.9E+04 45 2 130.403 798 SAFH 2156 790 0 0.3 4.9E+04 35 5.6 103.606 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 799 SAFH 2157 791 0 0.3 4E+04 39 2.3E+02 113.867 800 SAFH 2158 792 0 0.3 1.3E+04 37 1.8E+03 113.867 801 SAFH 2159 793 0 0.2 4.4E+04 37 16 103.309 802 SAFH 2161 794 0 0.2 4.4E+04 46 20 127.804 803 SAFH 2162 795 0 0.2 0.089 46 2.4 127.804 804 SAFH 2164 796 0 0.2 3.8E+04 46 8 131.065 805 SAFH 2169 797 0 0.2 4.1E+04 42 5.8 118.229 806 SAFH 2170 798 0 0.2 1.9E+02 42 2.6 118.229 807 SAFH 2175 799 0 0.2 4.3E+04 37 96 110.228 808 SAFH 2176 800 0 0.2 4.6E+02 37 69 110.228 809 SAFH 2177 801 0 0.2 1.1E+04 35 5 110.846 810 SAFH 2178 802 0 0.2 1.1E+04 37 17 110.228 811 SAFH 2179 803 0 0.2 4.8E+04 41 9.6 112.486 812 SAFH 2183 804 0 0.2 4.4E+04 35 5.6 101.35 813 SAFH 2185 805 0 0.2 1.7E+04 35 22 98.426 814 SAFH 2187 806 0 0.2 4.5E+04 44 3.1 128.461 815 SAFH 2192 807 0 0.2 4.7E+04 41 10 117.829 816 SAFH 2194 808 0 0.2 4.6E+04 37 2.9 103.606 817 SAFH 2200 809 0 0.2 4.6E+04 45 1.5 133.51 818 SAFH 2203 810 0 0.2 4.9E+04 36 19 103.485 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 819 SAFH 2204 811 0 0.2 4.4E+04 45 4.9 127.804 820 SAFH 2205 812 0 0.2 4.1E+04 39 86 107.583 821 SAFH 2206 813 0 0.2 1.1E+04 38 24 108.287 822 SAFH 2207 814 0 0.2 1.4E+04 36 3.9 105.979 823 SAFH 2210 815 0 0.2 1.4E+04 40 10 110.754 824 SAFH 2211 816 0 0.2 3.2E+04 40 1.9E+02 113.94 825 SAFH 2212 817 0 0.2 3.7E+04 37 3.6E+02 106.287 826 SAFH 2213 818 0 0.2 1.7E+04 37 68 110.101 827 SAFH 2214 819 0 0.2 4.1E+04 33 57 99.2673 828 SAFH 2215 820 0 0.2 4.8E+04 46 1.8 127.804 829 SAFH 2223 821 0 0.2 4.9E+04 33 5 101.502 830 SAFH 2225 822 0 0.2 5.3E+04 45 12 128.824 831 SAFH 2228 823 0 0.2 5E+04 40 37 114.897 832 SAFH 2229 824 0 0.2 2.9E+04 36 2.8E+02 101.446 833 SAFH 2230 825 0 0.2 5.9E+03 33 19 99.0439 834 SAFH 2232 826 0 0.2 3.1E+04 36 23 100.77 835 SAFH 2234 827 0 0.2 4.4E+04 35 72 105.149 836 SAFH 2235 828 0 0.2 4.2E+04 34 8.8E+02 104.367 837 SAFH 2236 829 0 0.2 4.9E+04 44 1 125.121 838 SAFH 2254 830 0 0.2 4.8E+04 46 2.4 128.824 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 839 SAFH 2257 831 0 0.2 5E+04 38 13 109.052 840 SAFH 2258 832 0 0.2 2.7E+03 38 15 109.052 841 SAFH 2259 833 0 0.2 4E+04 37 3.5 104.955 842 SAFH 2262 834 0 0.2 3.7E+04 43 3 121.592 843 SAFH 2269 835 0 0.2 3.7E+04 33 6.1 100.264 844 SAFH 2271 836 0 0.2 4.3E+04 43 3 122.063 845 SAFH 2275 837 0 0.2 4.2E+04 34 11 98.4917 846 SAFH 2276 838 0 0.2 3E+02 34 5.9 98.4917 847 SAFH 2279 839 0 0.2 4.4E+04 45 11 129.807 848 SAFH 2280 840 0 0.2 2.9E+03 45 1.4 129.807 849 SAFH 2288 841 0 0.2 4.6E+04 46 0.95 132.103 850 SAFH 2299 842 0 0.2 4.8E+04 46 12 128.997 851 SAFH 2302 843 0 0.2 3.8E+04 41 5.2 113.167 852 SAFH 2306 844 0 0.2 2.5E+04 39 2.3 109.343 853 SAFH 2312 845 0 0.2 3.1E+04 37 16 104.196 854 SAFH 2314 846 0 0.2 3.5E+04 36 6 99.794 855 SAFH 2315 847 0 0.2 3.8E+04 38 2.7 107.198 856 SAFH 2319 848 0 0.2 3.6E+04 37 14 105.848 857 SAFH 2321 849 0 0.2 3.6E+04 38 3.8 110.491 858 SAFH 2324 850 0 0.2 5E+04 45 2.1 132.591 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 859 SAFH 2328 851 0 0.2 4.6E+04 47 1.6 135.871 860 SAFH 2331 852 0 0.2 4.8E+04 32 3.5 100.91 861 SAFH 2334 853 0 0.2 3.2E+04 37 8.9 112.337 862 SAFH 2337 854 0 0.2 2.5E+04 40 44 110.325 863 SAFH 2338 855 0 0.2 3.6E+04 37 28 108.154 864 SAFH 2339 856 0 0.2 3.2E+04 35 3.1 103.606 865 SAFH 2341 857 0 0.2 3.5E+04 43 20 123.016 866 SAFH 2343 858 0 0.2 3.2E+04 38 7.7 110.828 867 SAFH 2347 859 0 0.2 4.1E+04 36 29 102.661 868 SAFH 2348 860 0 0.2 5.1E+04 46 1.2 128.401 869 SAFH 2355 861 0 0.2 4.2E+04 46 4.1 128.287 870 SAFH 2357 862 0 0.2 4.7E+04 42 2.9 122.27 871 SAFH 2358 863 0 0.2 3.9E+04 44 2.6 128.461 872 SAFH 2363 864 0 0.2 4.6E+04 34 1 101.662 873 SAFH 2374 865 0 0.2 3.4E+04 38 4 110.841 874 SAFH 2376 866 0 0.2 4.6E+04 47 76 132.103 875 SAFH 2377 867 0 0.2 4.2E+04 46 16 129.311 876 SAFH 2379 868 0 0.2 3.8E+04 35 2.8 105.659 877 SAFH 2388 869 0 0.2 3E+04 34 6.2 98.4917 878 SAFH 2389 870 0 0.2 3.8E+04 36 14 103.271 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 879 SAFH 2392 871 0 0.2 4E+04 35 2.1 103.606 880 SAFH 2397 872 0 0.2 4E+04 48 69 135.871 881 SAFH 2399 873 0 0.2 4.2E+04 36 5.5E+02 108.601 882 SAFH 2400 874 0 0.2 3.8E+04 35 1.3 103.606 883 SAFH 2408 875 0 0.2 3.6E+04 45 44 129.807 884 SAFH 2409 876 0 0.2 3.8E+04 37 8.1 109.939 885 SAFH 2410 877 0 0.2 1.5E+03 37 2.5 109.939 886 SAFH 2417 878 0 0.2 3.3E+04 43 2 127.865 887 SAFH 2424 879 0 0.2 4.5E+04 33 7.2 98.9933 888 SAFH 2427 880 0 0.2 3.4E+04 34 29 101.517 889 SAFH 2428 881 0 0.2 5E+04 47 2.6E+02 131.507 890 SAFH 2429 882 0 0.2 4.9E+04 33 4.2 104.014 891 SAFH 2431 883 0 0.2 3.4E+04 36 22 104.783 892 SAFH 2432 884 0 0.2 3.9E+04 40 2.3 112.611 893 SAFH 2437 885 0 0.2 3.9E+04 37 0.79 103.606 894 SAFH 2447 886 0 0.2 4.2E+04 36 8.7 109.168 895 SAFH 2448 887 0 0.2 4.1E+04 46 21 128.461 896 SAFH 2449 888 0 0.2 4.6E+04 45 3.9 131.567 897 SAFH 2450 889 0 0.2 4.7E+04 34 38 106.961 898 SAFH 2451 890 0 0.2 2.5E+04 32 46 99.4032 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 899 SAFH 2452 891 0 0.2 3.2E+04 33 16 104.917 900 SAFH 2454 892 0 0.2 3.4E+04 42 14 122.918 901 SAFH 2456 893 0 0.2 4.7E+04 45 1.4 133.51 902 SAFH 2463 894 0 0.2 4.9E+04 33 1.2 101.662 903 SAFH 2465 895 0 0.2 5.6E+02 35 0.51 101.662 904 SAFH 2476 896 0 0.2 4.9E+04 45 3.5 128.723 905 SAFH 2477 897 0 0.2 4.7E+04 45 2.1 131.567 906 SAFH 2481 898 0 0.2 4.4E+04 37 76 106.84 907 SAFH 2482 899 0 0.2 4.4E+04 41 2.3 121.045 908 SAFH 2487 900 0 0.2 4.1E+04 33 11 100.985 909 SAFH 2488 901 0 0.2 2E+02 33 4.7 100.985 910 SAFH 2491 902 0 0.2 3.5E+04 35 0.66 103.606 911 SAFH 2499 903 0 0.2 2.9E+04 37 6.3 106.36 912 SAFH 2501 904 0 0.2 3.4E+04 33 10 102.232 913 SAFH 2502 905 0 0.2 3.4E+04 33 3.1 98.4917 914 SAFH 2506 906 0 0.2 3.9E+04 48 72 135.871 915 SAFH 2507 907 0 0.2 3.9E+04 32 7.1 101.418 916 SAFH 2508 908 0 0.2 3.4E+04 34 3.4 101.045 917 SAFH 2512 909 0 0.2 3.3E+04 39 73 111.301 918 SAFH 2513 910 0 0.2 4.4E+02 39 12 111.301 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 919 SAFH 2515 911 0 0.2 4.5E+04 46 0.82 128.824 920 SAFH 2524 912 0 0.2 4.8E+04 35 1.8 107.324 921 SAFH 2533 913 0 0.2 3.3E+04 33 1E+02 101.12 922 SAFH 2534 914 0 0.2 2.8E+04 35 3.9 101.1 923 SAFH 2536 915 0 0.2 4.9E+04 45 1.6 134.171 924 SAFH 2543 916 0 0.2 4.8E+04 32 2.8 101.362 925 SAFH 2546 917 0 0.2 3.2E+04 36 3.7 109.288 926 SAFH 2550 918 0 0.2 3.3E+04 33 1.4 101.467 927 SAFH 2561 919 0 0.2 3.1E+04 45 14 134.171 928 SAFH 2564 920 0 0.2 4.9E+04 47 0.88 135.209 929 SAFH 2573 921 0 0.2 4.4E+04 47 7.8 132.103 930 SAFH 2576 922 0 0.2 3.8E+04 32 2.9 101.35 931 SAFH 2578 923 0 0.2 3.5E+04 37 1.6 106.126 932 SAFH 2584 924 0 0.2 3.6E+04 33 17 101.396 933 SAFH 2585 925 0 0.2 3.2E+04 33 16 101.92 934 SAFH 2586 926 0 0.2 3.4E+04 31 4 100.798 935 SAFH 2590 927 0 0.2 3.8E+04 38 3 110.071 936 SAFH 2593 928 0 0.2 3.4E+04 36 35 101.341 937 SAFH 2594 929 0 0.2 3E+04 36 1.7 109.247 938 SAFH 2598 930 0 0.2 3.5E+04 33 0.33 101.662 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 939 SAFH 2612 931 0 0.2 3.5E+04 35 2.7E+02 107.57 940 SAFH 2613 932 0 0.2 4E+04 33 7.2 98.4917 941 SAFH 2614 933 0 0.2 4.2E+04 44 0.91 129.807 942 SAFH 2624 934 0 0.2 4.1E+04 46 0.86 131.507 943 SAFH 2630 935 0 0.2 4.5E+04 45 22 126.766 944 SAFH 2633 936 0 0.2 3.2E+04 35 1.5 100.815 945 SAFH 2637 937 0 0.2 2.3E+04 39 2.9 111.398 946 SAFH 2642 938 0 0.2 4.1E+04 47 5.5 135.871 947 SAFH 2645 939 0 0.2 4.1E+04 32 8 98.4917 948 SAFH 2646 940 0 0.2 3.2E+04 37 14 109.716 949 SAFH 2647 941 0 0.2 4.2E+04 38 1.3 112.759 950 SAFH 2652 942 0 0.2 3.1E+04 36 18 107.599 951 SAFH 2653 943 0 0.2 1.4E+04 32 5.3 101.264 952 SAFH 2654 944 0 0.2 2.9E+02 32 1.5 101.264 953 SAFH 2658 945 0 0.2 3.5E+04 37 23 108.635 954 SAFH 2659 946 0 0.2 3E+04 34 4.9 100.19 955 SAFH 2660 947 0 0.2 3.3E+04 41 1.1 119.954 956 SAFH 2663 948 0 0.2 2.7E+04 34 6.3 102.306 957 SAFH 2664 949 0 0.2 1.8E+04 39 1.3 110.748 958 SAFH 2674 950 0 0.2 3.4E+04 32 23 99.0297 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 959 SAFH 2675 951 0 0.2 3.8E+04 35 7.7 105.766 960 SAFH 2677 952 0 0.2 3.2E+04 37 4.6 110.166 961 SAFH 2680 953 0 0.2 4.6E+04 41 1.6 121.613 962 SAFH 2684 954 0 0.2 4.6E+04 46 0.87 134.171 963 SAFH 2690 955 0 0.2 5E+04 33 2.4 103.606 964 SAFH 2693 956 0 0.2 3.8E+04 35 1.5 107.489 965 SAFH 2696 957 0 0.2 4.4E+04 44 1.8 124.948 966 SAFH 2700 958 0 0.2 4.3E+04 36 41 109.135 967 SAFH 2701 959 0 0.2 8.5E+03 36 11 106.408 968 SAFH 2703 960 0 0.2 4.5E+04 37 16 109.557 969 SAFH 2704 961 0 0.2 5E+04 47 0.77 135.871 970 SAFH 2713 962 0 0.2 5E+04 34 27 104.756 971 SAFH 2714 963 0 0.2 4.8E+04 46 1.7 131.507 972 SAFH 2715 964 0 0.2 4.5E+04 38 5 111.176 973 SAFH 2719 965 0 0.2 2.6E+04 32 4.9 101.998 974 SAFH 2720 966 0 0.2 3.1E+04 33 1.5 100.634 975 SAFH 2725 967 0 0.2 3.5E+04 34 5.7 100.082 976 SAFH 2727 968 0 0.2 4.5E+04 44 3.9 128.287 977 SAFH 2728 969 0 0.2 3.3E+04 33 7.2 104.477 978 SAFH 2729 970 0 0.2 1.1E+04 34 6 104.477 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 979 SAFH 2731 971 0 0.2 8.7E+03 33 2.1 104.477 980 SAFH 2734 972 0 0.2 3.9E+04 36 2.4 106.396 981 SAFH 2739 973 0 0.2 4.3E+04 34 5.6 103.951 982 SAFH 2742 974 0 0.2 4E+04 37 4.9 109.036 983 SAFH 2743 975 0 0.2 3.6E+04 36 10 106.812 984 SAFH 2745 976 0 0.2 3.8E+04 33 1.1 101.467 985 SAFH 2752 977 0 0.2 4.6E+04 45 0.94 129.807 986 SAFH 2758 978 0 0.2 4.7E+04 44 1.4 128.461 987 SAFH 2761 979 0 0.2 4E+04 36 5.2 109.849 988 SAFH 2763 980 0 0.2 4.3E+04 39 1.9 112.696 989 SAFH 2767 981 0 0.2 4.9E+04 46 5.4 135.209 990 SAFH 2768 982 0 0.2 4.9E+04 45 0.67 130.403 991 SAFH 2776 983 0 0.2 4.7E+04 35 9.2 103.47 992 SAFH 2777 984 0 0.2 3.5E+04 33 45 101.444 993 SAFH 2778 985 0 0.2 4.3E+02 33 16 101.444 994 SAFH 2779 986 0 0.2 42 32 3.3 101.444 995 SAFH 2781 987 0 0.2 3.4E+04 35 0.87 101.467 996 SAFH 2784 988 0 0.2 2.3E+04 35 1.8 103.606 997 SAFH 2787 989 0 0.2 2E+04 31 1.7 98.8619 998 SAFH 2791 990 0 0.2 2.8E+04 35 2.1 104.746 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 999 SAFH 2797 991 0 0.2 3.7E+04 46 8.4 128.401 1000 SAFH 2800 992 0 0.2 3.7E+04 36 1.2 106.086 1001 SAFH 2809 993 0 0.2 2E+04 32 1.2 104.608 1002 SAFH 2812 994 0 0.2 3.5E+04 36 3.5 107.313 1003 SAFH 2815 995 0 0.2 3.3E+04 35 15 101.045 1004 SAFH 2816 996 0 0.2 5.2E+04 46 1.4 128.723 1005 SAFH 2822 997 0 0.2 4.8E+04 44 0.84 126.356 1006 SAFH 2829 998 0 0.2 4.9E+04 43 2.2 127.297 1007 SAFH 2830 999 0 0.2 4.6E+04 34 1.3 105.649 1008 SAFH 2836 1000 0 0.2 3.8E+04 34 2.1 104.746 1009 SAFH 2839 1001 0 0.2 1E+04 34 3.5 101.467 1010 SAFH 2841 1002 0 0.2 3.7E+04 39 1.5 113.088 1011 SAFH 2845 1003 0 0.2 3.5E+04 35 0.56 101.662 1012 SAFH 2846 1004 0 0.2 4.6E+04 45 0.75 124.847 1013 SAFH 2861 1005 0 0.2 4.8E+04 34 1.4 104.746 1014 SAFH 2864 1006 0 0.2 2.9E+04 34 2.2 101.139 1015 SAFH 2867 1007 0 0.2 3.3E+04 29 0.98 101.763 1016 SAFH 2876 1008 0 0.2 3.1E+04 33 2.1 99.1798 1017 SAFH 2878 1009 0 0.2 4.5E+04 45 0.75 128.549 1018 SAFH 2882 1010 0 0.2 4.1E+04 33 1.3 101.367 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1019 SAFH 2886 1011 0 0.2 3.7E+04 36 1.4E+02 107.169 1020 SAFH 2888 1012 0 0.2 4.5E+04 35 7.3 104.044 1021 SAFH 2889 1013 0 0.2 5.3E+04 47 1 135.871 1022 SAFH 2893 1014 0 0.2 4.5E+04 47 1.2 135.871 1023 SAFH 2897 1015 0 0.2 4.9E+04 33 0.32 101.662 1024 SAFH 2902 1016 0 0.2 4.7E+04 46 1.3 131.507 1025 SAFH 2907 1017 0 0.2 4.6E+04 35 3.9 109.993 1026 SAFH 2908 1018 0 0.2 4.6E+04 47 16 131.507 1027 SAFH 2909 1019 0 0.2 4.4E+04 42 75 116.695 1028 SAFH 2910 1020 0 0.2 1.2E+04 42 2.8E+02 116.695 1029 SAFH 2911 1021 0 0.2 5E+03 42 12 116.695 1030 SAFH 2913 1022 0 0.2 4.6E+04 44 1.6 125.143 1031 SAFH 2916 1023 0 0.2 4.9E+04 39 8.3E+02 108.006 1032 SAFH 2917 1024 0 0.2 3.4E+04 34 3.3 102.271 1033 SAFH 2918 1025 0 0.2 1.5E+04 33 7.6 99.6516 1034 SAFH 2919 1026 0 0.2 2.7E+04 36 1.1 104.746 1035 SAFH 2924 1027 0 0.2 6.1E+03 35 1.5 104.746 1036 SAFH 2928 1028 0 0.2 4.3E+04 40 1 113.675 1037 SAFH 2931 1029 0 0.2 1.2E+03 40 2.1 113.675 1038 SAFH 2933 1030 0 0.2 4.6E+04 35 22 102.301 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1039 SAFH 2934 1031 0 0.2 2.5E+04 32 2 98.4917 1040 SAFH 2937 1032 0 0.2 3.8E+04 35 1.9 104.258 1041 SAFH 2939 1033 0 0.2 3.3E+04 30 0.45 101.788 1042 SAFH 2948 1034 0 0.2 4.6E+04 41 5.9 124.395 1043 SAFH 2949 1035 0 0.2 4.7E+04 36 0.79 104.746 1044 SAFH 2961 1036 0 0.2 3.5E+04 47 13 131.507 1045 SAFH 2963 1037 0 0.2 3.5E+04 33 0.29 101.662 1046 SAFH 2965 1038 0 0.2 2.6E+04 33 3.3 102.309 1047 SAFH 2966 1039 0 0.2 3.2E+04 32 1.6 98.426 1048 SAFH 2972 1040 0 0.2 5E+04 46 0.78 128.997 1049 SAFH 2975 1041 0 0.2 5.1E+04 38 0.8 112.843 1050 SAFH 2986 1042 0 0.2 3.8E+04 36 1.3 106.33 1051 SAFH 2994 1043 0 0.2 4.1E+04 36 1.9 103.937 1052 SAFH 2997 1044 0 0.2 3.3E+04 36 0.69 101.871 1053 SAFH 3008 1045 0 0.2 3.1E+04 33 1 105.164 1054 SAFH 3012 1046 0 0.2 4.5E+04 46 0.78 127.804 1055 SAFH 3015 1047 0 0.2 3.8E+04 45 0.76 124.698 1056 SAFH 3019 1048 0 0.2 4.3E+04 39 2.3 110.08 1057 SAFH 3021 1049 0 0.2 4.8E+04 44 0.6 129.807 1058 SAFH 3024 1050 0 0.2 4.9E+04 48 51 135.209 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1059 SAFH 3025 1051 0 0.2 6E+03 48 7.9 135.209 1060 SAFH 3027 1052 0 0.2 3.9E+04 37 1.8 105.818 1061 SAFH 3029 1053 0 0.2 4.7E+04 40 0.51 123.12 1062 SAFH 3036 1054 0 0.2 4.9E+04 48 38 135.871 1063 SAFH 3037 1055 0 0.2 0.11 48 7.1 135.871 1064 SAFH 3038 1056 0 0.2 5E+04 32 25 101.35 1065 SAFH 3039 1057 0 0.2 2E+04 35 1.1 103.606 1066 SAFH 3040 1058 0 0.2 2.7E+02 35 0.46 103.606 1067 SAFH 3045 1059 0 0.2 4E+04 46 11 132.103 1068 SAFH 3048 1060 0 0.2 3.8E+04 36 1.3 104.746 1069 SAFH 3051 1061 0 0.2 4.6E+04 43 0.68 124.162 1070 SAFH 3057 1062 0 0.2 4.8E+04 30 1.9 100.949 1071 SAFH 3060 1063 0 0.2 2.8E+04 34 0.93 104.746 1072 SAFH 3064 1064 0 0.2 4.8E+04 45 0.79 128.824 1073 SAFH 3070 1065 0 0.2 4.9E+04 37 0.93 110.95 1074 SAFH 3073 1066 0 0.2 3.8E+04 39 6.9 112.351 1075 SAFH 3075 1067 0 0.2 4.1E+04 33 0.9 101.467 1076 SAFH 3080 1068 0 0.2 2.9E+04 35 5.2 104.557 1077 SAFH 3083 1069 0 0.2 1.2E+04 35 2.6 103.723 1078 SAFH 3085 1070 0 0.2 3.1E+04 34 6.6 98.426 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1079 SAFH 3086 1071 0 0.2 1.2E+04 36 1.2 101.045 1080 SAFH 3089 1072 0 0.2 4.1E+04 48 20 135.871 1081 SAFH 3090 1073 0 0.2 4.2E+04 34 5.1 101.045 1082 SAFH 3091 1074 0 0.2 3.2E+04 37 1.2E+02 105.831 1083 SAFH 3092 1075 0 0.2 5.6E+02 37 35 105.831 1084 SAFH 3093 1076 0 0.2 3.3E+04 31 0.41 101.788 1085 SAFH 3103 1077 0 0.2 3.4E+04 40 38 115.52 1086 SAFH 3104 1078 0 0.2 4.4E+04 38 6.4 110.578 1087 SAFH 3106 1079 0 0.2 4.3E+04 43 0.94 127.865 1088 SAFH 3111 1080 0 0.2 4.7E+04 32 2.3 104.003 1089 SAFH 3113 1081 0 0.2 4.9E+04 44 0.62 130.403 1090 SAFH 3119 1082 0 0.2 4.5E+04 47 0.52 135.209 1091 SAFH 3123 1083 0 0.2 5.2E+04 29 0.42 101.788 1092 SAFH 3128 1084 0 0.2 5.1E+04 47 3.8 132.103 1093 SAFH 3129 1085 0 0.2 5E+04 36 2.8 112.327 1094 SAFH 3130 1086 0 0.2 2.9E+04 38 1.5 113.015 1095 SAFH 3132 1087 0 0.2 4.2E+04 38 3.5 105.616 1096 SAFH 3134 1088 0 0.2 2.4E+04 35 4.6 101.046 1097 SAFH 3136 1089 0 0.2 2.9E+04 37 1.7 106.224 1098 SAFH 3139 1090 0 0.2 1.7E+04 35 0.6 104.724 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1099 SAFH 3147 1091 0 0.2 3.5E+04 32 1.6 101.35 1100 SAFH 3150 1092 0 0.2 4.1E+04 36 3.4 101.417 1101 SAFH 3151 1093 0 0.2 4.6E+04 46 1.1 132.765 1102 SAFH 3153 1094 0 0.2 4E+04 47 63 132.765 1103 SAFH 3154 1095 0 0.2 4.5E+04 47 5.5 132.103 1104 SAFH 3157 1096 0 0.2 3.3E+04 35 1.7 98.426 1105 SAFH 3159 1097 0 0.2 4.3E+04 44 0.79 128.461 1106 SAFH 3160 1098 0 0.2 4E+04 39 1.2 111.471 1107 SAFH 3162 1099 0 0.2 4.7E+04 33 77 101.9 1108 SAFH 3163 1100 0 0.2 2.3E+04 34 4.6 106.296 1109 SAFH 3164 1101 0 0.2 2.9E+04 35 3.8 100.589 1110 SAFH 3165 1102 0 0.2 2.3E+04 36 3.7 105.22 1111 SAFH 3166 1103 0 0.2 2.7E+04 33 0.72 101.35 1112 SAFH 3170 1104 0 0.2 4.2E+04 35 0.56 109.038 1113 SAFH 3180 1105 0 0.2 3.6E+04 36 0.68 104.746 1114 SAFH 3184 1106 0 0.2 7.5E+03 33 1.4 101.998 1115 SAFH 3187 1107 0 0.2 4.8E+04 46 0.74 131.507 1116 SAFH 3189 1108 0 0.2 4.2E+04 45 0.46 124.698 1117 SAFH 3196 1109 0 0.2 4.5E+04 40 0.64 114.336 1118 SAFH 3204 1110 0 0.2 4.6E+04 46 0.39 132.103 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1119 SAFH 3220 1111 0 0.2 4.5E+04 32 1.2 103.498 1120 SAFH 3224 1112 0 0.2 3.9E+04 42 4.5 115.788 1121 SAFH 3226 1113 0 0.2 5.1E+04 45 0.66 131.93 1122 SAFH 3228 1114 0 0.2 5E+04 37 2 105.223 1123 SAFH 3229 1115 0 0.2 3.5E+02 37 1.2 105.223 1124 SAFH 3231 1116 0 0.2 3.6E+04 37 0.98 108.072 1125 SAFH 3236 1117 0 0.2 3.7E+04 36 18 106.223 1126 SAFH 3237 1118 0 0.2 3.7E+04 33 0.35 103.606 1127 SAFH 3245 1119 0 0.2 3.8E+04 36 3.7 109.83 1128 SAFH 3247 1120 0 0.2 5E+04 46 2.3 129.088 1129 SAFH 3250 1121 0 0.2 5E+04 36 2.7 105.653 1130 SAFH 3254 1122 0 0.2 3.9E+04 36 3.8 101.349 1131 SAFH 3258 1123 0 0.2 3.6E+04 33 2.4 102.424 1132 SAFH 3262 1124 0 0.2 4.5E+04 44 1.2 131.567 1133 SAFH 3266 1125 0 0.2 4.9E+04 33 2 100.649 1134 SAFH 3268 1126 0 0.2 5E+04 46 0.68 128.401 1135 SAFH 3272 1127 0 0.2 4.4E+04 41 1.1 123.834 1136 SAFH 3273 1128 0 0.2 4.3E+04 33 0.49 103.606 1137 SAFH 3277 1129 0 0.2 3.5E+04 38 2.6 108.243 1138 SAFH 3279 1130 0 0.2 4.1E+04 42 1 122.162 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1139 SAFH 3282 1131 0 0.2 4.1E+04 34 2 101.176 1140 SAFH 3283 1132 0 0.2 1.7E+02 34 1.1 101.176 1141 SAFH 3287 1133 0 0.2 4.4E+04 41 2.1 117.764 1142 SAFH 3289 1134 0 0.2 3.6E+04 37 1.9 104.088 1143 SAFH 3292 1135 0 0.2 3.3E+04 39 1.1 111.237 1144 SAFH 3295 1136 0 0.2 4.5E+04 41 0.67 119.021 1145 SAFH 3301 1137 0 0.2 4.2E+04 36 5.4 103.827 1146 SAFH 3302 1138 0 0.2 3.7E+03 35 0.92 103.827 1147 SAFH 3305 1139 0 0.2 3E+04 33 0.76 101.35 1148 SAFH 3308 1140 0 0.2 2.6E+04 35 0.49 101.366 1149 SAFH 3316 1141 0 0.2 3.4E+04 35 27 106.972 1150 SAFH 3317 1142 0 0.2 2.6E+04 39 2.7 115.214 1151 SAFH 3320 1143 0 0.2 4.1E+04 30 1.5 101.481 1152 SAFH 3323 1144 0 0.2 3.8E+04 40 0.75 108.656 1153 SAFH 3327 1145 0 0.2 3.7E+04 29 0.19 101.788 1154 SAFH 3336 1146 0 0.2 3.9E+04 35 1.3 108.294 1155 SAFH 3338 1147 0 0.2 2.3E+04 33 4.9 101.233 1156 SAFH 3339 1148 0 0.2 3.5E+04 34 6.6 98.426 1157 SAFH 3340 1149 0 0.2 5.4E+03 35 1.9 98.426 1158 SAFH 3343 1150 0 0.2 4E+04 37 69 109.526 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1159 SAFH 3344 1151 0 0.2 2.8E+04 35 1.7 102.735 1160 SAFH 3347 1152 0 0.2 3.7E+04 43 0.59 126.701 1161 SAFH 3349 1153 0 0.2 4.1E+04 37 1.9 102.898 1162 SAFH 3351 1154 0 0.2 2.9E+04 29 0.42 101.788 1163 SAFH 3356 1155 0 0.2 4E+04 44 5.2 123.048 1164 SAFH 3357 1156 0 0.2 3.3E+04 34 5.1 102.305 1165 SAFH 3360 1157 0 0.2 3.6E+04 36 0.96 108.055 1166 SAFH 3364 1158 0 0.2 3.2E+04 36 29 106.055 1167 SAFH 3365 1159 0 0.2 4.6E+04 43 0.82 126.722 1168 SAFH 3368 1160 0 0.2 4.8E+04 39 1.4E+02 111.389 1169 SAFH 3369 1161 0 0.2 3.4E+03 39 1.4 111.389 1170 SAFH 3372 1162 0 0.2 4.3E+04 35 3.9 102.901 1171 SAFH 3373 1163 0 0.2 1.5E+03 36 2 102.901 1172 SAFH 3377 1164 0 0.2 4.9E+04 46 1.7 132.103 1173 SAFH 3378 1165 0 0.2 4.9E+04 46 62 128.549 1174 SAFH 3379 1166 0 0.2 4E+04 36 1.3E+02 102.661 1175 SAFH 3380 1167 0 0.2 4E+04 48 1.2E+02 135.871 1176 SAFH 3381 1168 0 0.2 4E+04 44 0.49 128.461 1177 SAFH 3392 1169 0 0.2 4.5E+04 33 1.8 98.1978 1178 SAFH 3395 1170 0 0.2 1.4E+04 33 0.44 101.35 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1179 SAFH 3404 1171 0 0.2 4.3E+04 38 2.2 108.97 1180 SAFH 3406 1172 0 0.2 4.1E+04 34 0.55 110.271 1181 SAFH 3413 1173 0 0.2 3.5E+04 38 0.97 107.367 1182 SAFH 3415 1174 0 0.2 3.8E+04 36 4.3E+02 106.387 1183 SAFH 3416 1175 0 0.2 6.7E+03 36 1.1E+02 106.387 1184 SAFH 3417 1176 0 0.2 1.1E+03 36 37 106.387 1185 SAFH 3419 1177 0 0.2 3.9E+04 31 0.54 101.662 1186 SAFH 3426 1178 0 0.2 3.8E+04 38 1.3 108.066 1187 SAFH 3427 1179 0 0.2 4.4E+04 45 4.2 128.401 1188 SAFH 3430 1180 0 0.2 4.5E+04 38 1.2 110.25 1189 SAFH 3431 1181 0 0.2 4.2E+04 36 4.8 107.261 1190 SAFH 3434 1182 0 0.2 3.9E+04 43 72 121.841 1191 SAFH 3435 1183 0 0.2 4.8E+04 41 1.9 113.726 1192 SAFH 3438 1184 0 0.2 5E+04 46 13 128.723 1193 SAFH 3440 1185 0 0.2 4.4E+04 38 0.56 113.279 1194 SAFH 3445 1186 0 0.2 4E+04 33 1.3 101.998 1195 SAFH 3449 1187 0 0.2 3.1E+04 38 3.3 110.209 1196 SAFH 3450 1188 0 0.2 3.3E+04 34 1.5 101.613 1197 SAFH 3452 1189 0 0.2 3.1E+04 37 0.71 104.746 1198 SAFH 3453 1190 0 0.2 45 37 0.33 104.746 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1199 SAFH 3466 1191 0 0.2 3.9E+04 37 9.3 105.671 1200 SAFH 3467 1192 0 0.2 4.3E+04 34 1.1E+02 101.578 1201 SAFH 3468 1193 0 0.2 1.5E+04 35 2.5E+02 101.578 1202 SAFH 3469 1194 0 0.2 2.2E+04 36 14 101.663 1203 SAFH 3470 1195 0 0.2 3.1E+04 34 1.3 103.82 1204 SAFH 3472 1196 0 0.2 1.6E+03 34 0.3 103.82 1205 SAFH 3479 1197 0 0.2 2.6E+04 35 0.58 101.998 1206 SAFH 3485 1198 0 0.2 4.4E+04 46 0.38 127.865 1207 SAFH 3496 1199 0 0.2 4.4E+04 40 0.39 113.931 1208 SAFH 3501 1200 0 0.2 4.2E+04 37 3 110.442 1209 SAFH 3504 1201 0 0.2 3.4E+04 33 0.2 103.606 1210 SAFH 3515 1202 0 0.2 3.9E+04 34 1.3 106.454 1211 SAFH 3516 1203 0 0.2 4.5E+04 42 0.84 121.108 1212 SAFH 3519 1204 0 0.2 4.6E+04 47 0.54 135.871 1213 SAFH 3522 1205 0 0.2 5E+04 38 4.3 111.337 1214 SAFH 3523 1206 0 0.2 2E+02 38 1.4 111.337 1215 SAFH 3526 1207 0 0.2 4.2E+04 30 0.32 103.606 1216 SAFH 3529 1208 0 0.2 2.7E+04 32 1.2 98.426 1217 SAFH 3532 1209 0 0.2 1.9E+04 32 0.85 98.4917 1218 SAFH 3538 1210 0 0.2 3.3E+04 36 0.76 105.123 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1219 SAFH 3543 1211 0 0.2 3.1E+04 33 10 101.452 1220 SAFH 3544 1212 0 0.2 3.2E+04 32 0.17 103.606 1221 SAFH 3553 1213 0 0.2 3.3E+04 34 3.7 101.764 1222 SAFH 3555 1214 0 0.2 4E+04 38 0.78 109.134 1223 SAFH 3559 1215 0 0.2 4.8E+04 45 0.67 128.997 1224 SAFH 3562 1216 0 0.2 4.6E+04 46 1.6 132.103 1225 SAFH 3563 1217 0 0.2 5.3E+04 37 4.1 109.924 1226 SAFH 3564 1218 0 0.2 4.1E+04 45 21 127.893 1227 SAFH 3565 1219 0 0.2 4.2E+04 33 11 101.367 1228 SAFH 3566 1220 0 0.2 3.1E+04 36 1.2 106.913 1229 SAFH 3567 1221 0 0.2 3.4E+04 44 6.3 125.169 1230 SAFH 3569 1222 0 0.2 3.8E+04 35 1.6 103.123 1231 SAFH 3570 1223 0 0.2 2.3E+04 36 1.1 106.267 1232 SAFH 3574 1224 0 0.2 4.1E+04 31 0.58 98.4917 1233 SAFH 3580 1225 0 0.2 4.2E+04 45 0.7 131.507 1234 SAFH 3581 1226 0 0.2 4.1E+04 45 9.4 124.698 1235 SAFH 3583 1227 0 0.2 3.7E+04 36 6.4 106.004 1236 SAFH 3584 1228 0 0.2 9.5E+03 33 1.2 102.988 1237 SAFH 3585 1229 0 0.2 1.4E+02 33 0.35 102.988 1238 SAFH 3592 1230 0 0.2 3.4E+04 29 0.27 101.788 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1239 SAFH 3595 1231 0 0.2 8E+03 35 0.82 104.746 1240 SAFH 3597 1232 0 0.2 4.3E+04 43 1 126.165 1241 SAFH 3599 1233 0 0.2 3.5E+04 40 3.6 113.141 1242 SAFH 3600 1234 0 0.2 1.7E+04 36 20 105.071 1243 SAFH 3601 1235 0 0.2 2.8E+04 38 0.73 110.279 1244 SAFH 3606 1236 0 0.2 4.4E+04 47 28 135.871 1245 SAFH 3608 1237 0 0.2 3.7E+03 47 54 135.871 1246 SAFH 3609 1238 0 0.2 4.4E+04 37 0.87 111.382 1247 SAFH 3613 1239 0 0.2 4.4E+04 46 0.38 128.227 1248 SAFH 3623 1240 0 0.2 4.9E+04 32 13 101.545 1249 SAFH 3624 1241 0 0.2 1.8E+04 32 17 101.545 1250 SAFH 3625 1242 0 0.2 1.4E+04 33 12 101.545 1251 SAFH 3626 1243 0 0.2 1.5E+04 34 32 101.545 1252 SAFH 3627 1244 0 0.2 6.7E+02 34 4.1 101.545 1253 SAFH 3630 1245 0 0.2 3.5E+04 42 0.34 123.089 1254 SAFH 3639 1246 0 0.2 4.3E+04 42 0.47 119.603 1255 SAFH 3647 1247 0 0.2 4.8E+04 40 2.1 110.664 1256 SAFH 3650 1248 0 0.2 3.1E+04 35 2 99.2538 1257 SAFH 3651 1249 0 0.2 16 35 0.91 99.2538 1258 SAFH 3657 1250 0 0.2 2.7E+04 33 0.89 101.467 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1259 SAFH 3658 1251 0 0.2 2.5E+04 32 0.21 103.606 1260 SAFH 3664 1252 0 0.2 1E+04 32 0.46 104.224 1261 SAFH 3674 1253 0 0.2 2.9E+04 44 1.8 122.3 1262 SAFH 3675 1254 0 0.2 3.3E+04 32 1.4 98.5198 1263 SAFH 3677 1255 0 0.2 2.9E+04 31 0.21 103.606 1264 SAFH 3679 1256 0 0.2 1.2E+03 31 0.2 103.606 1265 SAFH 3685 1257 0 0.2 3.4E+04 32 7.5 101.257 1266 SAFH 3686 1258 0 0.2 1.2E+02 32 1 101.257 1267 SAFH 3690 1259 0 0.2 3.5E+04 31 1.1 103.606 1268 SAFH 3691 1260 0 0.2 2.5E+04 34 1.6 100.815 1269 SAFH 3692 1261 0 0.2 3.4E+04 36 3.2 100.854 1270 SAFH 3694 1262 0 0.2 1.4E+04 34 2.9 100.854 1271 SAFH 3695 1263 0 0.2 1.4E+02 34 1.4 100.854 1272 SAFH 3697 1264 0 0.2 3.2E+04 43 20 120.601 1273 SAFH 3698 1265 0 0.2 2.9E+04 43 2.7 120.601 1274 SAFH 3700 1266 0 0.2 3.8E+04 32 2.3 103.111 1275 SAFH 3702 1267 0 0.2 2.7E+04 32 3.1 98.426 1276 SAFH 3703 1268 0 0.2 8.6E+03 34 0.46 98.426 1277 SAFH 3709 1269 0 0.2 4.1E+04 35 4.9 105.313 1278 SAFH 3711 1270 0 0.2 4.4E+04 33 2.6 102.183 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1279 SAFH 3714 1271 0 0.2 3.5E+04 34 1.4 100.291 1280 SAFH 3717 1272 0 0.2 3.3E+04 36 3.3 102.947 1281 SAFH 3718 1273 0 0.2 4.1E+04 44 0.53 124.698 1282 SAFH 3722 1274 0 0.2 4.3E+04 33 0.63 98.4917 1283 SAFH 3725 1275 0 0.2 3.7E+04 38 0.69 109.173 1284 SAFH 3728 1276 0 0.2 3.5E+04 38 2.5 106.169 1285 SAFH 3729 1277 0 0.2 9.6E+03 38 1.4 106.169 1286 SAFH 3733 1278 0 0.2 4.1E+04 39 0.98 111.628 1287 SAFH 3735 1279 0 0.2 2.6E+04 37 8.3 107.099 1288 SAFH 3736 1280 0 0.2 3.4E+04 37 0.84 105.474 1289 SAFH 3738 1281 0 0.2 2.7E+04 33 1.4 100.848 1290 SAFH 3741 1282 0 0.2 2E+04 36 2.6 109.08 1291 SAFH 3743 1283 0 0.2 4.1E+04 37 1.5 106.788 1292 SAFH 3746 1284 0 0.2 2.9E+04 37 2 107.94 1293 SAFH 3747 1285 0 0.2 3E+04 33 1.5 98.4917 1294 SAFH 3748 1286 0 0.2 3E+04 32 0.44 101.35 1295 SAFH 3754 1287 0 0.2 4.2E+04 46 7.9 128.738 1296 SAFH 3756 1288 0 0.2 4.1E+04 31 0.27 103.606 1297 SAFH 3757 1289 0 0.2 1.6E+03 31 0.24 103.606 1298 SAFH 3758 1290 0 0.2 2.9E+02 31 0.087 103.606 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1299 SAFH 3766 1291 0 0.2 3.4E+04 36 2.2 106.689 1300 SAFH 3768 1292 0 0.2 4.7E+04 44 0.52 124.698 1301 SAFH 3770 1293 0 0.2 2.1E+03 44 0.39 124.698 1302 SAFH 3777 1294 0 0.2 4.5E+04 34 0.33 103.645 1303 SAFH 3783 1295 0 0.2 2.7E+04 33 0.71 101.32 1304 SAFH 3785 1296 0 0.2 2.5E+04 33 0.13 101.662 1305 SAFH 3796 1297 0 0.2 2.2E+04 32 0.81 101.346 1306 SAFH 3802 1298 0 0.2 3.5E+04 36 1.1 107.836 1307 SAFH 3806 1299 0 0.2 3.8E+04 31 0.67 100.91 1308 SAFH 3811 1300 0 0.2 3.8E+04 42 0.98 118.403 1309 SAFH 3818 1301 0 0.2 4.3E+04 36 4 105.46 1310 SAFH 3820 1302 0 0.2 3.5E+04 33 0.36 101.467 1311 SAFH 3832 1303 0 0.2 2.3E+04 35 1.2 99.0935 1312 SAFH 3833 1304 0 0.2 3.7E+04 36 3.1 106.448 1313 SAFH 3834 1305 0 0.2 3.7E+04 39 2.4 111.706 1314 SAFH 3835 1306 0 0.2 4.2E+04 36 6.1 102.329 1315 SAFH 3837 1307 0 0.2 1.1E+04 34 4.2 102.329 1316 SAFH 3839 1308 0 0.2 5.1E+04 44 0.5 134.171 1317 SAFH 3842 1309 0 0.2 4.8E+04 44 0.97 122.163 1318 SAFH 3844 1310 0 0.2 4.9E+04 38 0.53 111.293 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1319 SAFH 3849 1311 0 0.2 3.7E+04 36 0.39 101.137 1320 SAFH 3855 1312 0 0.2 2.9E+04 33 0.36 101.467 1321 SAFH 3863 1313 0 0.2 2.1E+04 36 0.4 105.217 1322 SAFH 3868 1314 0 0.2 3.6E+04 39 1.8E+03 111.973 1323 SAFH 3869 1315 0 0.2 4.3E+04 43 0.62 127.297 1324 SAFH 3873 1316 0 0.2 4.9E+04 38 2.2 110.336 1325 SAFH 3875 1317 0 0.2 4.1E+04 34 1.3 110.055 1326 SAFH 3876 1318 0 0.2 31 34 0.36 110.055 1327 SAFH 3885 1319 0 0.2 4.1E+04 29 0.14 101.788 1328 SAFH 3892 1320 0 0.2 3.5E+04 35 1.5 103.851 1329 SAFH 3893 1321 0 0.2 3.4E+04 34 0.68 98.1978 1330 SAFH 3898 1322 0 0.2 2.4E+04 30 0.84 101.523 1331 SAFH 3899 1323 0 0.2 3.6E+04 35 2.8 102.851 1332 SAFH 3901 1324 0 0.2 3.5E+04 31 5.7 102.206 1333 SAFH 3902 1325 0 0.2 4.8E+04 41 0.59 111.762 1334 SAFH 3907 1326 0 0.2 4.3E+04 46 16 127.804 1335 SAFH 3908 1327 0 0.2 3.8E+04 39 1.4 108.141 1336 SAFH 3909 1328 0 0.2 1.7E+04 34 2.8 101.05 1337 SAFH 3911 1329 0 0.2 4.1E+04 40 1.6 108.892 1338 SAFH 3913 1330 0 0.2 3E+03 40 1.4 108.892 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1339 SAFH 3914 1331 0 0.2 3.7E+03 40 1.5 108.892 1340 SAFH 3915 1332 0 0.2 2.4E+03 40 1.2 108.892 1341 SAFH 3918 1333 0 0.2 3.6E+04 39 1.3 111.362 1342 SAFH 3919 1334 0 0.2 3.2E+04 35 1.5 110.348 1343 SAFH 3920 1335 0 0.2 4.8E+04 46 1.4 131.567 1344 SAFH 3921 1336 0 0.2 0.0071 46 0.34 131.567 1345 SAFH 3931 1337 0 0.2 3.4E+04 34 0.31 104.545 1346 SAFH 3933 1338 0 0.2 3.9E+04 32 1.1 102.064 1347 SAFH 3935 1339 0 0.2 1.2E+02 32 0.35 102.064 1348 SAFH 3942 1340 0 0.2 3.9E+04 46 1.5 128.227 1349 SAFH 3946 1341 0 0.2 3.9E+04 36 0.54 104.573 1350 SAFH 3956 1342 0 0.2 3.9E+04 35 0.8 100.589 1351 SAFH 3959 1343 0 0.2 4E+04 38 0.84 105.887 1352 SAFH 3962 1344 0 0.2 3.6E+04 34 11 103.258 1353 SAFH 3964 1345 0 0.2 4.1E+04 34 51 98.426 1354 SAFH 3965 1346 0 0.2 4E+04 40 2.4 109.082 1355 SAFH 3968 1347 0 0.2 2.7E+04 35 0.36 103.646 1356 SAFH 3976 1348 0 0.2 3.9E+04 38 4.8 106.585 1357 SAFH 3977 1349 0 0.2 3.3E+04 36 0.67 106.889 1358 SAFH 3980 1350 0 0.2 4.5E+04 41 0.39 121.515 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1359 SAFH 3987 1351 0 0.2 4.4E+04 31 3 101.714 1360 SAFH 3990 1352 0 0.2 3.1E+04 31 1.3 99.1794 1361 SAFH 3994 1353 0 0.2 3.8E+04 40 0.71 113.931 1362 SAFH 3997 1354 0 0.2 3.9E+04 38 0.85 110.264 1363 SAFH 3998 1355 0 0.2 3.6E+04 35 7.5 104.867 1364 SAFH 3999 1356 0 0.2 1.2E+03 34 2 104.867 1365 SAFH 4002 1357 0 0.2 4.5E+03 34 0.96 104.867 1366 SAFH 4003 1358 0 0.2 1E+04 33 1.7 104.867 1367 SAFH 4005 1359 0 0.2 2.5E+04 32 0.37 104.235 1368 SAFH 4012 1360 0 0.2 3.2E+04 33 0.47 98.9665 1369 SAFH 4023 1361 0 0.2 2.5E+04 34 0.37 101.467 1370 SAFH 4030 1362 0 0.2 4.4E+04 37 7.5E+02 110.509 1371 SAFH 4031 1363 0 0.2 4.6E+04 36 0.5 106.229 1372 SAFH 4036 1364 0 0.2 3.2E+04 29 1.5 104.56 1373 SAFH 4037 1365 0 0.2 89 29 0.52 104.56 1374 SAFH 4041 1366 0 0.2 3.8E+04 35 4.5 103.067 1375 SAFH 4042 1367 0 0.2 4.7E+04 43 0.46 128.461 1376 SAFH 4045 1368 0 0.2 4.7E+04 37 0.66 104.605 1377 SAFH 4050 1369 0 0.2 4.4E+04 34 3.4E+02 108.139 1378 SAFH 4051 1370 0 0.2 1.1E+04 38 29 110.77 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1379 SAFH 4053 1371 0 0.2 3.8E+04 30 4.3 99.3296 1380 SAFH 4054 1372 0 0.2 2.9E+04 35 0.4 102.318 1381 SAFH 4060 1373 0 0.2 3.3E+04 36 3.7 105.007 1382 SAFH 4062 1374 0 0.2 4.5E+04 40 0.32 113.931 1383 SAFH 4071 1375 0 0.2 4.3E+04 33 1.8 105.114 1384 SAFH 4073 1376 0 0.2 4.8E+04 45 0.38 131.567 1385 SAFH 4077 1377 0 0.2 3.7E+04 37 1.8 106.647 1386 SAFH 4079 1378 0 0.2 3.6E+04 42 18 115.593 1387 SAFH 4081 1379 0 0.2 3.6E+04 35 1.1E+02 107.39 1388 SAFH 4082 1380 0 0.2 3.7E+04 36 0.51 105.21 1389 SAFH 4084 1381 0 0.2 3.5E+04 35 3.5 107.483 1390 SAFH 4085 1382 0 0.2 66 35 0.61 107.483 1391 SAFH 4088 1383 0 0.2 3.8E+04 29 0.23 101.788 1392 SAFH 4089 1384 0 0.2 4.1E+04 38 1.4 108.918 1393 SAFH 4093 1385 0 0.2 3.9E+04 36 1.2 102.522 1394 SAFH 4095 1386 0 0.2 2.2E+03 34 0.92 102.522 1395 SAFH 4097 1387 0 0.2 3.3E+04 35 0.39 101.366 1396 SAFH 4101 1388 0 0.2 2E+04 31 1.1 98.4917 1397 SAFH 4103 1389 0 0.2 4.2E+04 38 0.55 112.676 1398 SAFH 4106 1390 0 0.2 4.6E+04 34 10 102.165 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1399 SAFH 4107 1391 0 0.2 3E+04 31 0.086 103.606 1400 SAFH 4115 1392 0 0.2 4.8E+04 46 0.28 133.51 1401 SAFH 4125 1393 0 0.2 4.6E+04 31 0.46 101.646 1402 SAFH 4131 1394 0 0.2 4.9E+04 42 0.39 123.616 1403 SAFH 4135 1395 0 0.2 4.9E+04 40 0.63 114.777 1404 SAFH 4139 1396 0 0.2 4.3E+04 47 9.6 132.194 1405 SAFH 4143 1397 0 0.2 4.4E+04 34 0.39 99.6534 1406 SAFH 4148 1398 0 0.2 3.5E+04 37 0.46 111.118 1407 SAFH 4152 1399 0 0.2 3.2E+04 33 0.61 102.842 1408 SAFH 4155 1400 0 0.2 3.7E+04 36 1.2 105.792 1409 SAFH 4158 1401 0 0.2 5.2E+04 47 0.58 132.103 1410 SAFH 4161 1402 0 0.2 5.1E+04 35 0.56 104.289 1411 SAFH 4166 1403 0 0.2 3.5E+04 39 0.78 111.495 1412 SAFH 4168 1404 0 0.2 2.9E+04 34 0.43 98.5615 1413 SAFH 4172 1405 0 0.2 1.8E+04 34 0.53 98.426 1414 SAFH 4176 1406 0 0.2 4.1E+04 45 24 124.847 1415 SAFH 4177 1407 0 0.2 3E+04 34 1.1 102.032 1416 SAFH 4178 1408 0 0.2 3.5E+04 32 0.31 105.341 1417 SAFH 4186 1409 0 0.2 4.1E+04 47 1.6 131.93 1418 SAFH 4190 1410 0 0.2 3.8E+04 39 9.1 111.652 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1419 SAFH 4193 1411 0 0.2 1.1E+03 39 1.8 111.652 1420 SAFH 4195 1412 0 0.2 3.9E+04 42 3.6 123.938 1421 SAFH 4196 1413 0 0.2 4.7E+03 43 3.1 123.938 1422 SAFH 4197 1414 0 0.2 4.8E+04 43 0.21 124.214 1423 SAFH 4207 1415 0 0.2 4.9E+04 34 0.39 102.111 1424 SAFH 4212 1416 0 0.2 3.2E+04 34 0.44 104.475 1425 SAFH 4217 1417 0 0.2 3E+04 38 0.36 108.21 1426 SAFH 4226 1418 0 0.2 3.1E+04 35 14 102.671 1427 SAFH 4227 1419 0 0.2 4.1E+04 32 1.7 101.745 1428 SAFH 4228 1420 0 0.2 3.8E+04 47 12 132.103 1429 SAFH 4230 1421 0 0.2 4.2E+04 37 0.36 104.619 1430 SAFH 4235 1422 0 0.2 2.9E+04 30 0.44 103.27 1431 SAFH 4238 1423 0 0.2 3.1E+04 43 8 120.331 1432 SAFH 4240 1424 0 0.2 3.3E+04 34 0.45 104.739 1433 SAFH 4246 1425 0 0.2 2E+04 29 0.067 101.788 1434 SAFH 4260 1426 0 0.2 3.5E+04 34 0.5 105.458 1435 SAFH 4268 1427 0 0.2 3E+04 33 6 102.38 1436 SAFH 4271 1428 0 0.2 3.9E+04 33 2.9 98.4917 1437 SAFH 4272 1429 0 0.2 4.3E+03 33 0.7 98.4917 1438 SAFH 4276 1430 0 0.2 2.2E+04 34 1.8 101.998 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1439 SAFH 4278 1431 0 0.2 3.4E+04 35 0.92 104.33 1440 SAFH 4281 1432 0 0.2 1.7E+04 35 0.83 104.33 1441 SAFH 4283 1433 0 0.2 2.2E+04 34 0.27 104.33 1442 SAFH 4287 1434 0 0.2 2.7E+04 35 0.28 104.537 1443 SAFH 4293 1435 0 0.2 3.2E+04 37 2.3 108.468 1444 SAFH 4294 1436 0 0.2 3.3E+04 38 0.6 108.785 1445 SAFH 4295 1437 0 0.2 3.4E+04 31 3.6 99.6254 1446 SAFH 4296 1438 0 0.2 3.9E+04 36 0.34 105.836 1447 SAFH 4301 1439 0 0.2 2.8E+04 33 1.5 103.242 1448 SAFH 4302 1440 0 0.2 30 33 0.34 103.242 1449 SAFH 4306 1441 0 0.2 4.7E+04 44 0.87 127.865 1450 SAFH 4307 1442 0 0.2 2.9E+04 37 2.7 105.83 1451 SAFH 4310 1443 0 0.2 2.9E+04 35 0.48 98.426 1452 SAFH 4315 1444 0 0.2 3.1E+04 34 0.53 101.033 1453 SAFH 4322 1445 0 0.2 3.6E+04 35 0.33 111.693 1454 SAFH 4327 1446 0 0.2 3.8E+04 33 0.21 101.662 1455 SAFH 4332 1447 0 0.2 2.9E+04 34 0.78 105.418 1456 SAFH 4335 1448 0 0.2 3.5E+04 33 6.2 99.6254 1457 SAFH 4336 1449 0 0.2 5.3E+04 45 0.71 131.93 1458 SAFH 4337 1450 0 0.2 5.3E+04 32 0.5 98.4917 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1459 SAFH 4341 1451 0 0.2 2.7E+04 39 7.2 111.398 1460 SAFH 4342 1452 0 0.2 1.1E+03 39 2 111.398 1461 SAFH 4345 1453 0 0.2 3E+04 32 0.23 103.342 1462 SAFH 4350 1454 0 0.2 4E+04 33 1 101.396 1463 SAFH 4352 1455 0 0.2 3.2E+04 32 0.21 101.004 1464 SAFH 4362 1456 0 0.2 2.1E+04 33 0.51 98.4917 1465 SAFH 4364 1457 0 0.2 2.4E+04 32 3 103.115 1466 SAFH 4365 1458 0 0.2 3.5E+04 33 0.33 103.277 1467 SAFH 4373 1459 0 0.2 4.9E+04 46 1.2 134.171 1468 SAFH 4375 1460 0 0.2 4.6E+04 37 18 110.106 1469 SAFH 4376 1461 0 0.2 3.2E+04 44 0.54 127.93 1470 SAFH 4379 1462 0 0.2 4.4E+04 35 0.48 101.764 1471 SAFH 4381 1463 0 0.2 3.2E+04 31 0.57 101.264 1472 SAFH 4382 1464 0 0.2 1E+02 31 0.29 101.264 1473 SAFH 4389 1465 0 0.2 3.9E+04 39 6.2E+02 109.143 1474 SAFH 4390 1466 0 0.2 4.7E+04 43 0.6 124.37 1475 SAFH 4393 1467 0 0.2 4.7E+04 34 0.97 101.221 1476 SAFH 4395 1468 0 0.2 2.6E+04 29 0.13 101.788 1477 SAFH 4400 1469 0 0.2 2.3E+04 32 0.36 99.1841 1478 SAFH 4402 1470 0 0.2 2.2E+04 37 0.4 107.432 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 1479 SAFH 4407 1471 0 0.2 2.6E+04 37 2.5 106.592 1480 SAFH 4408 1472 0 0.2 2.7E+04 36 0.55 107.756 1481 SAFH 4410 1473 0 0.2 3.6E+04 37 1.8 108.678 1482 SAFH 4411 1474 0 0.2 3.8E+04 33 0.48 101.409 1483 SAFH 4418 1475 0 0.2 3.5E+04 32 0.16 103.835 1484 SAFH 4426 1476 0 0.2 1.7E+04 36 0.85 105.185 1485 SAFH 4428 1477 0 0.2 5E+04 47 0.36 132.103 1486 SAFH 4435 1478 0 0.2 4.9E+04 29 0.28 103.606 1487 SAFH 4436 1479 0 0.2 4.7E+04 47 0.27 131.507 1488 SAFH 4448 1480 0 0.2 4.5E+04 34 2.3 101.113 1489 SAFH 4449 1481 0 0.2 2.8E+03 35 1.7 101.113 1490 SAFH 4450 1482 0 0.2 1.5E+02 35 0.53 101.113 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.104_nd-16._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 98.197766275000006431 Max constraint (39) : 1.689613782218657434e-09 Alternative solution : MIP Alt. objective value : 98.197766275000006431 Max constraint (39) : 1.689613782218657434e-09 Time used (seconds) : 7202.14 Time limit (seconds) : 7200 Iterations used : 1491 Iteration limit : -1 Function evaluations : 269932 Gradient evaluations : 4453 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.7 % MIP time usage : 99.3 % Optimal/total MIPs : 0/1491 NLP solver calls : 1490 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- nd-16.gms(1305) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job nd-16.gms Stop 09/14/12 16:52:22 elapsed 2:00:02.363 @04 1347634342 ----------------------------- Fr 14. Sep 16:52:22 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_2.gms =========== ----------------------------- Fr 14. Sep 14:55:40 CEST 2012 ----------------------------- @03 1347627340 --- Job fo7_2.gms Start 09/14/12 14:55:40 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_2.gms(508) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- fo7_2.gms(503) 3 Mb --- Generating MINLP model m --- fo7_2.gms(508) 5 Mb --- 212 rows 115 columns 869 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_2.gms(508) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.105_fo7_2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 869 elements of which 2% are non-linear(NL) included in 212 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 115 variables: Continuous(73), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (205) infeasibile 0 H 0 0 0 1 0 14 8.2 NA 1 SAFH 14 1 0 1 3E+14 14 1.5 18.8441 2 SAFH 20 2 0 1 91 14 2 30.6697 3 SAFH 22 3 0 1 1.3E+02 14 2 25.6809 4 SAFG 26 4 0 1 3E+14 0 4.4E-16 27.9769 4 FOUND SOLUTION: 27.9769 (NLP) in 1 sec. 5 SAFH 26 4 0 1 3E+14 14 0.67 26.5976 6 SAFH 28 5 0 1 6.6 14 0.19 27.3017 7 SAFH 37 6 0 1 1.1E+02 14 0.64 37.7663 8 SAFH 39 7 0 1 97 14 0.27 37.5526 9 SAFH 40 8 0 1 0.25 14 0.058 37.6507 10 SAFH 42 9 0 1 1.4E+02 14 0.33 44.6513 11 SAFG 43 10 0 1 3E+14 0 0 19.9619 11 FOUND SOLUTION: 19.9619 (NLP) in 1 sec. 12 SAFH 43 10 0 1 3E+14 14 0.17 19.7193 13 SAFH 45 11 0 1 1.4E+02 14 0.068 42.2955 14 SAFH 49 12 0 1 1.4E+02 12 0.046 19.8858 15 SAFH 54 13 0 1 1.7E+02 13 0.15 27.2716 16 SAFH 55 14 0 1 1.1E+02 14 0.12 49.7812 17 SAFH 56 15 0 1 82 14 0.19 45.0285 18 SAFH 58 16 0 1 1.2E+02 14 0.031 36.5828 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 64 17 0 1 1E+02 14 0.092 38.3498 20 SAFH 67 18 0 1 1.4E+02 13 0.052 45.5638 21 SAFH 69 19 0 1 1E+02 14 0.16 50.6848 22 SAFH 70 20 0 1 1E+02 14 0.033 53.933 23 SAFH 77 21 0 1 1.2E+02 14 0.48 33.8153 24 SAFH 78 22 0 1 1.1E+02 14 0.027 37.1987 25 SAFH 81 23 0 1 1.5E+02 14 0.025 42.0402 26 SAFH 86 24 0 1 1.9E+02 4 0.0055 19.9611 27 SAFH 87 25 0 1 0.0056 2 0.0008 19.9611 28 SAFJL 88 26 0 1 0.002 0 7.5E-09 19.9619 29 SAFG 74 25 0 0.5 3E+14 0 9.9E-12 17.7493 29 FOUND SOLUTION: 17.7493 (NLP) in 3 sec. 30 SAFH 74 25 0 0.5 3E+14 4 1.3E-05 17.7493 31 SAFH 75 26 0 0.5 0.00018 2 3.7E-06 17.7493 32 SAFJ 76 27 0 0.5 1.7E-05 0 7.5E-09 17.7493 33 SAFJ 76 27 0 0.3 0 0 7.5E-09 17.7493 34 SAFJ 76 27 0 0.2 0 0 7.5E-09 17.7493 35 SAFJ 76 27 0 0.1 0 0 7.5E-09 17.7493 36 AFJ 76 27 0 0 0 0 7.5E-09 17.7493 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.105_fo7_2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 17.749345728930418176 Max constraint (10) : 9.8525632097334892023e-12 Alternative solution : MIP Alt. objective value : 17.749345728930418176 Max constraint (10) : 9.8525632097334892023e-12 Time used (seconds) : 16.23 Time limit (seconds) : 7200 Iterations used : 36 Iteration limit : -1 Function evaluations : 588 Gradient evaluations : 90 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.9 % MIP time usage : 99.1 % Optimal/total MIPs : 1/36 NLP solver calls : 37 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_2.gms(508) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_2.gms Stop 09/14/12 14:55:56 elapsed 0:00:16.270 @04 1347627356 ----------------------------- Fr 14. Sep 14:55:56 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_ar2_1.gms =========== ----------------------------- Fr 14. Sep 14:55:57 CEST 2012 ----------------------------- @03 1347627357 --- Job fo7_ar2_1.gms Start 09/14/12 14:55:57 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_ar2_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.005 --- fo7_ar2_1.gms(663) 3 Mb --- Generating MINLP model m --- fo7_ar2_1.gms(668) 5 Mb --- 270 rows 113 columns 1,055 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_ar2_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.106_fo7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1055 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 3.9 NA 1 SAFH 8 1 0 1 3E+14 10 0.2 36.7385 2 SAFG 14 2 0 1 3E+14 0 0 28.0401 2 FOUND SOLUTION: 28.0401 (NLP) in 1 sec. 3 SAFH 14 2 0 1 3E+14 12 0.61 25.5512 4 SAFH 22 3 0 1 12 14 0.005 28.0318 5 SAFH 24 4 0 1 0.038 13 0.00021 28.0393 6 SAFH 25 5 0 1 0.00085 11 0.00021 28.0396 7 SAFH 26 6 0 1 0.00053 9 7.7E-05 28.0398 8 SAFH 27 7 0 1 0.00053 8 4.2E-05 28.0399 9 SAFH 28 8 0 1 0.00036 6 4.2E-05 28.04 10 SAFH 29 9 0 1 0.00038 4 2.1E-05 28.04 11 SAFH 30 10 0 1 0.00029 2 1.1E-06 28.0401 12 SAFJL 31 11 0 1 8.3E-06 0 1.4E-09 28.0401 13 SAFJ 23 10 0 0.5 0 0 1.4E-09 28.0401 14 SAFJ 23 10 0 0.3 0 0 1.4E-09 28.0401 15 SAFG 23 10 0 0.2 3E+14 0 0 24.9576 15 FOUND SOLUTION: 24.9576 (NLP) in 4 sec. 16 SAFH 23 10 0 0.2 3E+14 14 0.0021 24.945 17 SAFG 30 11 0 0.2 3E+14 0 8.9E-16 24.8517 17 FOUND SOLUTION: 24.8517 (NLP) in 6 sec. 18 SAFH 30 11 0 0.2 3E+14 14 0.14 24.5032 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 32 12 0 0.2 99 6 0.00023 27.8042 20 SAFH 33 13 0 0.2 56 4 1.8E-06 24.9576 21 SAFH 34 14 0 0.2 79 14 0.074 25.3499 22 SAFH 39 15 0 0.2 78 2 1.8E-06 24.9576 23 SAFJ 40 16 0 0.2 3 0 2E-07 24.9576 24 SAFJ 40 16 0 0.1 0 0 2E-07 24.9576 25 AFH 40 16 0 0 72 14 0.15 24.6035 26 AFG 42 17 0 0 3E+14 0 1.1E-13 24.8398 26 FOUND SOLUTION: 24.8398 (NLP) in 25 sec. 27 AFH 42 17 0 0 3E+14 14 0.067 24.6894 28 AFH 46 18 0 0 2.4 14 0.0036 24.8281 29 AFH 48 19 0 0 58 12 0.033 24.8306 30 AFH 52 20 0 0 54 14 0.00038 24.8365 31 AFH 53 21 0 0 2 12 0.00037 24.8375 32 AFH 54 22 0 0 4 10 0.00028 24.8383 33 AFH 55 23 0 0 4 8 7.4E-05 24.8396 34 AFH 56 24 0 0 4 6 1.4E-05 24.8398 35 AFH 57 25 0 0 4 4 1.4E-05 24.8398 36 AFH 58 26 0 0 2 2 3.8E-06 24.8398 37 AFJ 59 27 0 0 2 0 3.3E-07 24.8398 37 FOUND SOLUTION: 24.8398 in 72 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.106_fo7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 24.839847067621036558 Max constraint (1) : 1.0835776720341527835e-13 Alternative solution : MIP Alt. objective value : 24.839845326490085142 Max constraint (3) : 3.3470324733997358635e-07 Time used (seconds) : 71.67 Time limit (seconds) : 7200 Iterations used : 37 Iteration limit : -1 Function evaluations : 1148 Gradient evaluations : 67 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 13/37 NLP solver calls : 38 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_ar2_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_ar2_1.gms Stop 09/14/12 14:57:08 elapsed 0:01:11.701 @04 1347627428 ----------------------------- Fr 14. Sep 14:57:08 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_ar25_1.gms =========== ----------------------------- Fr 14. Sep 14:57:08 CEST 2012 ----------------------------- @03 1347627428 --- Job fo7_ar25_1.gms Start 09/14/12 14:57:08 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_ar25_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- fo7_ar25_1.gms(663) 3 Mb --- Generating MINLP model m --- fo7_ar25_1.gms(668) 5 Mb --- 270 rows 113 columns 1,055 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_ar25_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.107_fo7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1055 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 4.9 NA 1 SAFH 14 1 0 1 3E+14 8 0.65 25.2366 2 SAFH 21 2 0 1 1.2E+02 12 0.28 37.5201 3 SAFH 23 3 0 1 1.4E+02 12 0.084 42.8304 4 SAFH 27 4 0 1 87 12 0.42 41.5263 5 SAFG 31 5 0 1 3E+14 0 4.4E-16 32.6914 5 FOUND SOLUTION: 32.6914 (NLP) in 2 sec. 6 SAFH 31 5 0 1 3E+14 14 0.22 31.6825 7 SAFG 35 6 0 1 3E+14 0 4.2E-10 28.5117 7 FOUND SOLUTION: 28.5117 (NLP) in 2 sec. 8 SAFH 35 6 0 1 3E+14 14 0.12 28.2388 9 SAFH 39 7 0 1 84 14 0.048 34.9574 10 SAFH 43 8 0 1 1.2E+02 14 0.13 33.5704 11 SAFH 45 9 0 1 1.2E+02 14 0.024 31.495 12 SAFH 50 10 0 1 1.1E+02 12 0.057 38.5941 13 SAFH 52 11 0 1 1.4E+02 14 0.049 29.2084 14 SAFH 54 12 0 1 82 12 0.14 39.4876 15 SAFH 56 13 0 1 96 14 0.023 41.4848 16 SAFH 58 14 0 1 1.3E+02 14 0.0081 58.6781 17 SAFH 62 15 0 1 1.1E+02 14 0.012 34.2215 18 SAFH 66 16 0 1 1.3E+02 12 0.024 44.4982 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 68 17 0 1 50 12 0.01 48.7412 20 SAFH 70 18 0 1 1.1E+02 10 0.008 35.3914 21 SAFH 72 19 0 1 1.1E+02 14 0.022 39.5042 22 SAFH 76 20 0 1 90 12 0.0026 40.5869 23 SAFH 81 21 0 1 0.066 8 0.00011 40.6031 24 SAFH 82 22 0 1 71 10 0.0056 33.0027 25 SAFH 86 23 0 1 0.038 6 0.0012 33.0154 26 SAFG 88 24 0 1 3E+14 0 9.3E-12 28.094 26 FOUND SOLUTION: 28.094 (NLP) in 7 sec. 27 SAFH 88 24 0 1 3E+14 6 0.0023 28.0882 28 SAFH 89 25 0 1 1.2E+02 14 0.028 47.1059 29 SAFH 93 26 0 1 1.1E+02 14 0.0033 38.697 30 SAFH 96 27 0 1 1E+02 12 0.014 41.0397 31 SAFH 97 28 0 1 1.2E+02 9 4.2E-05 34.2877 32 SAFH 98 29 0 1 1.2E+02 12 0.053 37.899 33 SAFH 100 30 0 1 1.2E+02 12 0.033 34.0437 34 SAFH 103 31 0 1 89 12 0.0088 38.2068 35 SAFH 107 32 0 1 0.15 11 0.0027 38.2439 36 SAFH 114 33 0 1 44 2 1.6E-05 37.7788 37 SAFH 115 34 0 1 1.1E+02 8 0.00022 39.5187 38 SAFG 116 35 0 1 3E+14 0 1.9E-09 23.2184 38 FOUND SOLUTION: 23.2184 (NLP) in 10 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 116 35 0 1 3E+14 14 0.0061 23.1947 40 SAFH 121 36 0 1 8 9 0.0018 25.1937 41 SAFH 123 37 0 1 0.019 10 0.00072 25.1981 42 SAFH 124 38 0 1 0.0017 8 0.00072 25.1987 43 SAFH 125 39 0 1 0.0027 6 0.00072 25.1997 44 SAFH 126 40 0 1 0.0025 4 2.6E-06 25.2008 45 SAFH 127 41 0 1 2.2E-05 2 1E-06 25.2008 46 SAFH 128 42 0 1 2E-06 1 1E-06 25.2008 47 SAFJL 129 43 0 1 3.1E-06 0 1.2E-07 25.2008 48 SAFH 115 42 0 0.5 1.6E+02 12 0.047 28.3803 49 SAFH 117 43 0 0.5 1.2E+02 7 2.1E-05 37.5356 50 SAFH 118 44 0 0.5 1.1E+02 10 0.013 32.302 51 SAFG 119 45 0 0.5 3E+14 0 1.3E-10 23.1225 51 FOUND SOLUTION: 23.1225 (NLP) in 14 sec. 52 SAFH 119 45 0 0.5 3E+14 8 0.0041 23.1208 53 SAFH 121 46 0 0.5 84 4 0.0062 34.2633 54 SAFH 123 47 0 0.5 96 6 0.00071 31.904 55 SAFH 124 48 0 0.5 73 4 0.00069 37.408 56 SAFH 125 49 0 0.5 1.4E+02 8 0.0056 34.3382 57 SAFH 127 50 0 0.5 94 2 5.1E-06 31.1684 58 SAFH 128 51 0 0.5 97 2 1.3E-05 39.5603 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFJ 129 52 0 0.5 43 0 4.3E-07 40.1978 60 SAFH 129 52 0 0.3 91 2 1.7E-05 34.478 61 SAFG 130 53 0 0.3 3E+14 0 2.7E-13 23.121 61 FOUND SOLUTION: 23.121 (NLP) in 21 sec. 62 SAFJ 130 53 0 0.3 3E+14 0 6.5E-07 23.121 62 FOUND SOLUTION: 23.121 in 22 sec. 63 SAFJ 130 53 0 0.2 0 0 6.5E-07 23.121 64 SAFJ 130 53 0 0.1 0 0 6.5E-07 23.121 65 AFG 130 53 0 0 3E+14 0 4.9E-10 23.0936 65 FOUND SOLUTION: 23.0936 (NLP) in 34 sec. 66 AFH 130 53 0 0 3E+14 14 0.0019 23.0865 67 AFH 133 54 0 0 2 6 0.00091 23.0925 68 AFH 134 55 0 0 2 4 6.8E-06 23.0936 69 AFH 135 56 0 0 2 2 1.7E-06 23.0936 70 AFJ 136 57 0 0 4.2E-06 0 4E-07 23.0936 70 FOUND SOLUTION: 23.0936 in 69 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.107_fo7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 23.093567601266308031 Max constraint (4) : 4.8668180596678212169e-10 Alternative solution : MIP Alt. objective value : 23.09356568960605216 Max constraint (6) : 4.0465366168973559979e-07 Time used (seconds) : 68.69 Time limit (seconds) : 7200 Iterations used : 70 Iteration limit : -1 Function evaluations : 2058 Gradient evaluations : 150 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 6/70 NLP solver calls : 71 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_ar25_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_ar25_1.gms Stop 09/14/12 14:58:17 elapsed 0:01:08.739 @04 1347627497 ----------------------------- Fr 14. Sep 14:58:17 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_ar3_1.gms =========== ----------------------------- Fr 14. Sep 14:58:17 CEST 2012 ----------------------------- @03 1347627497 --- Job fo7_ar3_1.gms Start 09/14/12 14:58:17 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_ar3_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- fo7_ar3_1.gms(663) 3 Mb --- Generating MINLP model m --- fo7_ar3_1.gms(668) 5 Mb --- 270 rows 113 columns 1,055 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_ar3_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.108_fo7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1055 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 5.7 NA 1 SAFH 14 1 0 1 3E+14 12 0.74 26.9157 2 SAFH 24 2 0 1 1.6E+02 14 0.5 32.9912 3 SAFH 26 3 0 1 4.1 12 0.04 33.8331 4 SAFH 27 4 0 1 0.1 10 0.015 33.8731 5 SAFH 29 5 0 1 0.037 8 0.0036 33.8879 6 SAFH 33 6 0 1 1E+02 14 0.8 36.4797 7 SAFG 35 7 0 1 3E+14 0 0 32.7363 7 FOUND SOLUTION: 32.7363 (NLP) in 1 sec. 8 SAFH 35 7 0 1 3E+14 14 0.3 32.1013 9 SAFH 37 8 0 1 24 14 0.024 38.1822 10 SAFH 41 9 0 1 1E+02 14 0.054 53.114 11 SAFH 45 10 0 1 1.2E+02 14 0.075 35.2295 12 SAFG 51 11 0 1 3E+14 0 2.5E-12 23.1221 12 FOUND SOLUTION: 23.1221 (NLP) in 2 sec. 13 SAFH 51 11 0 1 3E+14 12 0.14 22.8981 14 SAFH 55 12 0 1 1.2E+02 6 0.024 43.2402 15 SAFH 56 13 0 1 84 10 0.034 34.4463 16 SAFH 62 14 0 1 1.2E+02 12 0.0062 34.3355 17 SAFH 64 15 0 1 1.1E+02 12 0.031 44.3833 18 SAFH 65 16 0 1 1.3E+02 14 0.016 35.6844 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 67 17 0 1 1.1E+02 12 0.026 45.7517 20 SAFH 69 18 0 1 1.2E+02 14 0.042 35.4281 21 SAFH 74 19 0 1 1.1E+02 14 0.003 37.8416 22 SAFH 76 20 0 1 0.027 12 0.0015 37.8483 23 SAFH 77 21 0 1 0.0092 10 0.00041 37.8494 24 SAFH 78 22 0 1 0.0029 8 0.00041 37.85 25 SAFH 79 23 0 1 1 6 6.3E-05 37.8505 26 SAFH 80 24 0 1 1 4 1.5E-05 37.8506 27 SAFH 81 25 0 1 1.7E-05 2 1.5E-05 37.8506 28 SAFJL 82 26 0 1 3.1E-05 0 1.7E-07 37.8506 29 SAFH 68 25 0 0.5 1.3E+02 14 0.017 27.3435 30 SAFH 69 26 0 0.5 1.3E+02 10 0.013 30.7109 31 SAFH 75 27 0 0.5 74 14 0.017 30.661 32 SAFH 79 28 0 0.5 94 14 0.15 27.654 33 SAFH 81 29 0 0.5 1.2E+02 12 0.0028 31.3452 34 SAFH 82 30 0 0.5 1.2E+02 10 0.0048 31.5415 35 SAFH 89 31 0 0.5 82 14 0.019 26.0931 36 SAFH 91 32 0 0.5 83 8 0.15 34.4681 37 SAFH 93 33 0 0.5 1.4E+02 8 0.0027 26.5283 38 SAFH 98 34 0 0.5 1.1E+02 12 0.15 29.7296 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 101 35 0 0.5 54 12 0.003 31.2083 40 SAFH 102 36 0 0.5 1.1E+02 5 4.8E-05 26.5453 41 SAFH 103 37 0 0.5 1.2E+02 12 0.0069 31.6497 42 SAFH 107 38 0 0.5 1.2E+02 4 0.0047 26.0765 43 SAFH 109 39 0 0.5 1E+02 14 0.037 28.4183 44 SAFH 112 40 0 0.5 1.1E+02 10 0.0002 27.2217 45 SAFH 113 41 0 0.5 1E+02 10 0.0028 37.9702 46 SAFH 115 42 0 0.5 1E+02 8 2.6E-05 36.3397 47 SAFH 116 43 0 0.5 1.5E+02 14 0.014 42.0807 48 SAFH 118 44 0 0.5 1.4E+02 14 0.002 37.5948 49 SAFH 119 45 0 0.5 1.1E+02 10 0.00028 31.2118 50 SAFH 120 46 0 0.5 1.1E+02 12 0.00094 34.8304 51 SAFH 121 47 0 0.5 1.1E+02 12 0.013 24.819 52 SAFH 126 48 0 0.5 1E+02 5 0.0078 29.9824 53 SAFH 128 49 0 0.5 1.2E+02 4 0.0027 31.0428 54 SAFH 130 50 0 0.5 48 10 0.00047 28.2971 55 SAFH 131 51 0 0.5 1.2E+02 5 0.0025 30.0652 56 SAFH 133 52 0 0.5 79 8 8.2E-05 30.7377 57 SAFH 134 53 0 0.5 71 12 0.0011 34.691 58 SAFH 135 54 0 0.5 1.2E+02 11 0.0011 31.3515 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 136 55 0 0.5 1.1E+02 6 1.1E-05 33.1779 60 SAFH 137 56 0 0.5 1E+02 10 0.0015 30.7746 61 SAFH 139 57 0 0.5 1.1E+02 12 0.0049 33.4775 62 SAFH 140 58 0 0.5 1.3E+02 8 0.00012 30.7794 63 SAFH 141 59 0 0.5 1.2E+02 10 0.015 30.0112 64 SAFH 142 60 0 0.5 1E+02 14 0.0044 28.466 65 SAFH 145 61 0 0.5 1E+02 3 4.7E-06 27.1571 66 SAFH 146 62 0 0.5 96 12 0.0076 32.5497 67 SAFH 148 63 0 0.5 1.1E+02 12 0.00038 34.5514 68 SAFH 149 64 0 0.5 77 10 0.00035 37.9654 69 SAFH 150 65 0 0.5 1.3E+02 8 0.00036 29.74 70 SAFH 151 66 0 0.5 1.4E+02 12 2.1E-05 34.4741 71 SAFH 152 67 0 0.5 1.4E+02 8 0.003 33.9081 72 SAFH 155 68 0 0.5 1.3E+02 11 0.00099 23.1214 73 SAFH 156 69 0 0.5 1E+02 9 0.0044 28.5076 74 SAFH 157 70 0 0.5 89 12 0.0078 31.4017 75 SAFH 160 71 0 0.5 90 8 0.00018 31.9475 76 SAFH 161 72 0 0.5 1E+02 4 0.0059 30.2401 77 SAFG 162 73 0 0.5 3E+14 0 8.9E-16 22.5175 77 FOUND SOLUTION: 22.5175 (NLP) in 58 sec. 78 SAFH 162 73 0 0.5 3E+14 14 0.01 22.4768 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 165 74 0 0.5 1.3E+02 3 4.7E-06 28.0954 80 SAFH 166 75 0 0.5 1.2E+02 12 0.003 32.3976 81 SAFH 168 76 0 0.5 1.3E+02 8 3.8E-05 27.4697 82 SAFH 169 77 0 0.5 1.2E+02 8 0.00035 31.9044 83 SAFH 170 78 0 0.5 1.3E+02 14 0.026 29.3093 84 SAFH 171 79 0 0.5 1.4E+02 10 0.00041 28.8453 85 SAFH 172 80 0 0.5 99 14 0.0073 28.7625 86 SAFH 174 81 0 0.5 1.4E+02 7 7.7E-06 28.4705 87 SAFH 175 82 0 0.5 1.3E+02 14 0.0039 33.0169 88 SAFH 177 83 0 0.5 1.3E+02 6 1E-05 23.1225 89 SAFH 178 84 0 0.5 0.016 4 3.4E-06 23.1225 90 SAFH 179 85 0 0.5 96 14 0.00039 30.9968 91 SAFH 180 86 0 0.5 1.2E+02 6 3.8E-05 29.9459 92 SAFH 181 87 0 0.5 56 4 1.7E-05 32.4222 93 SAFH 182 88 0 0.5 1.1E+02 8 0.014 22.828 94 SAFH 186 89 0 0.5 79 2 1.3E-06 23.1225 95 SAFH 187 90 0 0.5 74 10 0.00068 31.4419 96 SAFH 188 91 0 0.5 1.1E+02 10 0.0025 33.3799 97 SAFH 191 92 0 0.5 72 6 2.3E-05 31.2123 98 SAFJ 192 93 0 0.5 1E+02 0 2.7E-07 31.9047 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFJ 192 93 0 0.3 0 0 2.7E-07 31.9047 100 SAFJ 192 93 0 0.2 0 0 2.7E-07 31.9047 101 SAFJ 192 93 0 0.1 0 0 2.7E-07 31.9047 102 AFH 192 93 0 0 88 8 0.02 22.3722 103 AFH 194 94 0 0 53 2 5.2E-06 22.5175 104 AFJ 195 95 0 0 43 0 6.1E-07 22.5175 104 FOUND SOLUTION: 22.5175 in 143 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.108_fo7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22.517471009129046422 Max constraint (2) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 22.51746888329519436 Max constraint (4) : 6.0731127593527389763e-07 Time used (seconds) : 142.99 Time limit (seconds) : 7200 Iterations used : 104 Iteration limit : -1 Function evaluations : 5950 Gradient evaluations : 209 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.3 % MIP time usage : 99.7 % Optimal/total MIPs : 3/104 NLP solver calls : 105 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_ar3_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_ar3_1.gms Stop 09/14/12 15:00:40 elapsed 0:02:23.032 @04 1347627640 ----------------------------- Fr 14. Sep 15:00:40 CEST 2012 ----------------------------- =ready= Linux opt212 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_ar4_1.gms =========== ----------------------------- Fr 14. Sep 14:58:31 CEST 2012 ----------------------------- @03 1347627511 --- Job fo7_ar4_1.gms Start 09/14/12 14:58:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_ar4_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- fo7_ar4_1.gms(663) 3 Mb --- Generating MINLP model m --- fo7_ar4_1.gms(668) 5 Mb --- 270 rows 113 columns 1,055 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_ar4_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.109_fo7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1055 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 7.3 NA 1 SAFH 14 1 0 1 3E+14 8 1.7 23.4036 2 SAFH 16 2 0 1 1E+02 14 1.5 30.4463 3 SAFH 24 3 0 1 1.2E+02 12 0.54 27.3237 4 SAFG 26 4 0 1 3E+14 0 0 38.3077 4 FOUND SOLUTION: 38.3077 (NLP) in 1 sec. 5 SAFH 26 4 0 1 3E+14 14 0.099 37.5809 6 SAFG 35 5 0 1 3E+14 0 0 34.5934 6 FOUND SOLUTION: 34.5934 (NLP) in 1 sec. 7 SAFH 35 5 0 1 3E+14 14 0.034 34.5243 8 SAFH 37 6 0 1 0.39 14 0.00082 34.5872 9 SAFH 38 7 0 1 1.1E+02 14 0.33 33.81 10 SAFH 41 8 0 1 1E+02 14 0.28 38.5603 11 SAFH 45 9 0 1 1.1E+02 14 0.044 36.7894 12 SAFH 51 10 0 1 78 14 0.55 47.3797 13 SAFG 53 11 0 1 3E+14 0 4.4E-16 33.8135 13 FOUND SOLUTION: 33.8135 (NLP) in 2 sec. 14 SAFH 53 11 0 1 3E+14 14 0.036 33.6531 15 SAFH 57 12 0 1 97 14 0.083 37.8557 16 SAFH 59 13 0 1 1.4E+02 14 0.26 36.2556 17 SAFH 60 14 0 1 1.3E+02 8 0.02 36.4329 18 SAFH 64 15 0 1 91 14 0.058 35.0024 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 67 16 0 1 96 14 0.074 37.8173 20 SAFH 72 17 0 1 97 14 0.025 35.0837 21 SAFG 76 18 0 1 3E+14 0 0 33.1181 21 FOUND SOLUTION: 33.1181 (NLP) in 3 sec. 22 SAFH 76 18 0 1 3E+14 14 0.055 32.9966 23 SAFH 79 19 0 1 0.63 14 0.00065 33.1168 24 SAFH 80 20 0 1 0.0016 12 0.00022 33.1174 25 SAFH 81 21 0 1 1.2E+02 14 0.04 41.9156 26 SAFH 85 22 0 1 1.2E+02 14 0.053 32.5141 27 SAFH 89 23 0 1 82 14 0.056 35.1746 28 SAFG 91 24 0 1 3E+14 0 1.8E-15 33.0733 28 FOUND SOLUTION: 33.0733 (NLP) in 4 sec. 29 SAFH 91 24 0 1 3E+14 14 0.0099 33.0367 30 SAFH 95 25 0 1 94 14 0.015 36.0146 31 SAFH 98 26 0 1 1.4E+02 14 0.0074 33.4504 32 SAFH 99 27 0 1 23 14 0.00089 33.4747 33 SAFH 100 28 0 1 1.3E+02 14 0.047 40.2602 34 SAFH 102 29 0 1 96 14 0.077 37.8175 35 SAFH 104 30 0 1 1.3E+02 14 0.019 47.1971 36 SAFH 107 31 0 1 1.1E+02 14 0.031 36.4802 37 SAFG 110 32 0 1 3E+14 0 6.8E-11 22.9991 37 FOUND SOLUTION: 22.9991 (NLP) in 5 sec. 38 SAFH 110 32 0 1 3E+14 14 0.036 22.9356 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 111 33 0 1 1.6E+02 14 0.013 34.843 40 SAFH 115 34 0 1 1.4E+02 14 0.023 47.5018 41 SAFH 118 35 0 1 1.2E+02 14 0.023 36.0753 42 SAFH 119 36 0 1 97 14 0.025 42.1701 43 SAFH 120 37 0 1 1.1E+02 14 0.016 36.5884 44 SAFH 122 38 0 1 0.16 14 0.0026 36.6204 45 SAFH 124 39 0 1 72 14 0.0051 37.6605 46 SAFH 128 40 0 1 1.1E+02 10 0.0033 33.7298 47 SAFH 130 41 0 1 1.4E+02 14 0.015 41.4401 48 SAFH 133 42 0 1 1.3E+02 14 0.025 47.0008 49 SAFH 134 43 0 1 39 14 0.014 38.5947 50 SAFH 136 44 0 1 1.3E+02 10 0.0081 42.4948 51 SAFH 139 45 0 1 0.11 10 0.00056 42.5369 52 SAFH 140 46 0 1 0.0066 8 0.00056 42.5386 53 SAFH 141 47 0 1 0.007 6 6.8E-06 42.5405 54 SAFH 142 48 0 1 6.3E-05 4 4.3E-06 42.5405 55 SAFH 143 49 0 1 2.1E-05 2 4.3E-06 42.5405 56 SAFJL 144 50 0 1 1.1E-05 0 4E-08 42.5406 57 SAFH 130 49 0 0.5 1.4E+02 14 0.0067 29.1754 58 SAFH 133 50 0 0.5 1E+02 14 0.013 29.9216 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 138 51 0 0.5 1.1E+02 14 0.011 36.09 60 SAFH 139 52 0 0.5 1.1E+02 14 0.018 25.5753 61 SAFH 141 53 0 0.5 95 14 0.0037 25.6261 62 SAFH 143 54 0 0.5 0.069 14 0.0015 25.6278 63 SAFG 146 55 0 0.5 3E+14 0 8.9E-16 20.7298 63 FOUND SOLUTION: 20.7298 (NLP) in 17 sec. 64 SAFH 146 55 0 0.5 3E+14 14 0.0097 20.719 65 SAFH 148 56 0 0.5 98 10 0.0035 28.5006 66 SAFH 150 57 0 0.5 1.2E+02 14 0.0074 32.9157 67 SAFH 153 58 0 0.5 1.2E+02 10 0.016 27.2332 68 SAFH 154 59 0 0.5 1.5E+02 12 0.0055 30.4205 69 SAFH 158 60 0 0.5 1.1E+02 9 8.3E-05 31.6022 70 SAFH 159 61 0 0.5 63 12 0.0015 29.0618 71 SAFH 160 62 0 0.5 1.1E+02 12 0.013 26.5595 72 SAFH 164 63 0 0.5 1.1E+02 7 0.0012 27.5799 73 SAFH 165 64 0 0.5 1.4E+02 14 0.0056 27.6353 74 SAFH 167 65 0 0.5 1.2E+02 9 0.00039 28.825 75 SAFH 168 66 0 0.5 1.4E+02 8 0.00018 23.8032 76 SAFH 169 67 0 0.5 1.3E+02 14 0.00045 24.6126 77 SAFH 170 68 0 0.5 1.3E+02 12 0.009 28.7604 78 SAFH 173 69 0 0.5 68 12 0.00064 26.2402 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 174 70 0 0.5 1E+02 12 0.011 34.813 80 SAFH 176 71 0 0.5 1.4E+02 6 0.00018 31.3879 81 SAFH 177 72 0 0.5 1E+02 9 0.00013 25.6813 82 SAFH 178 73 0 0.5 25 9 9.6E-06 24.4158 83 SAFH 179 74 0 0.5 1.3E+02 12 0.00028 31.9043 84 SAFH 180 75 0 0.5 1.1E+02 8 0.00027 26.2708 85 SAFH 181 76 0 0.5 1.1E+02 14 0.0069 27.1699 86 SAFH 185 77 0 0.5 1.3E+02 11 0.00059 28.7154 87 SAFH 186 78 0 0.5 1.2E+02 10 0.00044 26.0235 88 SAFH 187 79 0 0.5 55 10 0.00044 24.6129 89 SAFH 188 80 0 0.5 1.2E+02 14 0.041 22.3116 90 SAFH 190 81 0 0.5 1.2E+02 10 0.0026 30.1536 91 SAFH 193 82 0 0.5 1.4E+02 14 0.0067 31.7897 92 SAFH 195 83 0 0.5 1.1E+02 8 0.001 30.2594 93 SAFH 197 84 0 0.5 1E+02 10 0.0015 35.2401 94 SAFH 198 85 0 0.5 1.1E+02 8 0.00044 33.2993 95 SAFH 199 86 0 0.5 99 12 0.0029 30.0497 96 SAFH 200 87 0 0.5 1.2E+02 10 0.12 27.6886 97 SAFH 201 88 0 0.5 1.2E+02 8 0.0072 29.3787 98 SAFH 202 89 0 0.5 1.5E+02 8 0.00012 24.613 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 203 90 0 0.5 86 14 0.0079 22.7364 100 SAFH 206 91 0 0.5 90 6 7.2E-05 26.1259 101 SAFH 207 92 0 0.5 1.2E+02 14 0.0042 29.7126 102 SAFH 208 93 0 0.5 1.1E+02 10 0.00013 26.0497 103 SAFH 209 94 0 0.5 1.5E+02 2 0.00011 23.7553 104 SAFH 210 95 0 0.5 1.1E+02 4 7.2E-05 24.6132 105 SAFH 211 96 0 0.5 1.6E+02 14 0.0063 25.9381 106 SAFH 214 97 0 0.5 81 12 0.00082 22.8314 107 SAFH 215 98 0 0.5 51 10 0.00046 28.4034 108 SAFH 216 99 0 0.5 1.4E+02 12 0.0034 27.9794 109 SAFH 220 100 0 0.5 1.3E+02 7 5.4E-06 25.6826 110 SAFH 221 101 0 0.5 1.3E+02 14 0.0044 25.0373 111 SAFH 224 102 0 0.5 1.3E+02 2 7.6E-06 26.1261 112 SAFH 225 103 0 0.5 1.4E+02 12 0.0019 23.2927 113 SAFH 229 104 0 0.5 1.3E+02 2 1.9E-06 26.1261 114 SAFH 230 105 0 0.5 93 5 9.4E-06 24.4177 115 SAFH 231 106 0 0.5 1.2E+02 10 0.0004 25.6415 116 SAFH 232 107 0 0.5 0.0033 7 7.2E-05 25.642 117 SAFJ 233 108 0 0.5 1.4E+02 0 4.8E-07 26.1261 118 SAFJ 233 108 0 0.3 0 0 4.8E-07 26.1261 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFJ 233 108 0 0.2 0 0 4.8E-07 26.1261 120 SAFJ 233 108 0 0.1 1.1E+02 0 2.6E-08 20.7298 121 AFJ 233 108 0 0 4E-14 0 2.6E-08 20.7298 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.109_fo7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 20.729825069788127223 Max constraint (9) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 20.729825069788127223 Max constraint (9) : 8.8817841970012523234e-16 Time used (seconds) : 129.57 Time limit (seconds) : 7200 Iterations used : 121 Iteration limit : -1 Function evaluations : 5110 Gradient evaluations : 247 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 1/121 NLP solver calls : 122 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_ar4_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_ar4_1.gms Stop 09/14/12 15:00:41 elapsed 0:02:09.619 @04 1347627641 ----------------------------- Fr 14. Sep 15:00:41 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7_ar5_1.gms =========== ----------------------------- Fr 14. Sep 14:58:46 CEST 2012 ----------------------------- @03 1347627526 --- Job fo7_ar5_1.gms Start 09/14/12 14:58:46 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7_ar5_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- fo7_ar5_1.gms(663) 3 Mb --- Generating MINLP model m --- fo7_ar5_1.gms(668) 5 Mb --- 270 rows 113 columns 1,055 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7_ar5_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.110_fo7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1055 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 8.2 NA 1 SAFH 14 1 0 1 3E+14 14 1.7 38.7849 2 SAFH 16 2 0 1 1.3E+02 6 1.9 29.0734 3 SAFG 18 3 0 1 3E+14 0 0 36.6134 3 FOUND SOLUTION: 36.6134 (NLP) in 1 sec. 4 SAFH 18 3 0 1 3E+14 14 2 28.1899 5 SAFG 27 4 0 1 3E+14 0 8.9E-16 30.6959 5 FOUND SOLUTION: 30.6959 (NLP) in 1 sec. 6 SAFH 27 4 0 1 3E+14 14 0.25 29.9172 7 SAFH 29 5 0 1 1.3E+02 14 0.17 40.5797 8 SAFH 32 6 0 1 1.4E+02 14 0.39 37.1247 9 SAFH 34 7 0 1 1.3E+02 14 0.31 31.8765 10 SAFH 37 8 0 1 1.1E+02 14 0.22 32.3326 11 SAFH 39 9 0 1 1.1E+02 14 0.14 43.2363 12 SAFH 41 10 0 1 1E+02 12 0.14 52.025 13 SAFH 43 11 0 1 1.8E+02 14 0.17 31.931 14 SAFH 44 12 0 1 62 14 0.15 31.5864 15 SAFH 46 13 0 1 1.4E+02 14 0.099 34.9728 16 SAFG 47 14 0 1 3E+14 0 1.7E-12 21.4964 16 FOUND SOLUTION: 21.4964 (NLP) in 2 sec. 17 SAFH 47 14 0 1 3E+14 6 0.098 21.3228 18 SAFH 49 15 0 1 1.7E+02 12 0.051 35.5703 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 50 16 0 1 0.46 12 0.0063 35.6866 20 SAFH 53 17 0 1 0.059 11 0.0015 35.7095 21 SAFH 54 18 0 1 1.5E+02 14 0.18 39.4787 22 SAFH 56 19 0 1 69 14 0.19 32.4336 23 SAFH 59 20 0 1 1.1E+02 14 0.28 38.6019 24 SAFH 60 21 0 1 1.2E+02 12 0.048 40.6609 25 SAFH 62 22 0 1 95 14 0.25 43.229 26 SAFH 64 23 0 1 1.4E+02 8 0.025 33.5185 27 SAFH 67 24 0 1 1.3E+02 14 0.28 41.8324 28 SAFH 68 25 0 1 1.2E+02 14 0.039 27.3407 29 SAFH 72 26 0 1 90 12 0.18 29.132 30 SAFH 73 27 0 1 1.3E+02 14 0.26 26.9593 31 SAFH 74 28 0 1 1.5E+02 9 0.002 35.5423 32 SAFH 77 29 0 1 1.1E+02 11 0.023 35.905 33 SAFH 80 30 0 1 93 12 0.0022 31.0377 34 SAFH 82 31 0 1 1.2E+02 14 0.049 49.2127 35 SAFH 85 32 0 1 1.1E+02 12 0.039 32.7752 36 SAFH 87 33 0 1 75 14 0.035 34.9545 37 SAFH 88 34 0 1 0.13 14 0.014 34.9694 38 SAFH 92 35 0 1 90 14 0.026 36.3709 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 94 36 0 1 80 14 0.048 38.3873 40 SAFH 95 37 0 1 0.31 14 0.031 38.4514 41 SAFH 96 38 0 1 0.078 12 0.0098 38.4826 42 SAFH 97 39 0 1 1.1E+02 14 0.024 29.6794 43 SAFH 99 40 0 1 0.21 14 0.0025 29.7092 44 SAFH 103 41 0 1 98 14 0.011 37.542 45 SAFH 107 42 0 1 58 14 0.0012 38.5002 46 SAFH 109 43 0 1 0.016 11 0.00096 38.5024 47 SAFH 110 44 0 1 0.014 9 0.00035 38.5047 48 SAFH 111 45 0 1 0.0029 7 0.00034 38.5052 49 SAFH 112 46 0 1 0.0028 5 5.3E-05 38.5057 50 SAFH 113 47 0 1 0.00013 3 4.1E-05 38.5057 51 SAFH 114 48 0 1 0.00028 1 2.1E-06 38.5058 52 SAFJL 115 49 0 1 1.4E-05 0 6.8E-08 38.5058 53 SAFG 101 48 0 0.5 3E+14 0 4.4E-16 20.8855 53 FOUND SOLUTION: 20.8855 (NLP) in 5 sec. 54 SAFH 101 48 0 0.5 3E+14 4 0.013 20.871 55 SAFH 103 49 0 0.5 1.2E+02 9 8.7E-05 22.7289 56 SAFH 104 50 0 0.5 74 7 1.1E-05 22.7308 57 SAFG 105 51 0 0.5 3E+14 0 1E-11 20.8077 57 FOUND SOLUTION: 20.8077 (NLP) in 8 sec. 58 SAFH 105 51 0 0.5 3E+14 5 1E-05 20.8077 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 106 52 0 0.5 91 3 5.4E-06 22.7308 60 SAFH 107 53 0 0.5 1.2E+02 2 0.0019 20.8822 61 SAFJ 109 54 0 0.5 14 0 4.4E-16 20.8855 62 SAFJ 109 54 0 0.3 0 0 4.4E-16 20.8855 63 SAFJ 109 54 0 0.2 0 0 4.4E-16 20.8855 64 SAFJ 109 54 0 0.1 0 0 4.4E-16 20.8855 65 AFG 109 54 0 0 3E+14 0 8.9E-16 17.7493 65 FOUND SOLUTION: 17.7493 (NLP) in 18 sec. 66 AFH 109 54 0 0 3E+14 4 0.092 17.68 67 AFH 111 55 0 0 0.21 4 0.0017 17.7478 68 AFJ 113 56 0 0 0.0064 0 4.2E-09 17.7493 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.110_fo7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 17.749329413742124473 Max constraint (10) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 17.749329413742124473 Max constraint (10) : 8.8817841970012523234e-16 Time used (seconds) : 26.71 Time limit (seconds) : 7200 Iterations used : 68 Iteration limit : -1 Function evaluations : 1694 Gradient evaluations : 127 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.0 % MIP time usage : 99.0 % Optimal/total MIPs : 4/68 NLP solver calls : 69 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7_ar5_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7_ar5_1.gms Stop 09/14/12 14:59:13 elapsed 0:00:26.746 @04 1347627553 ----------------------------- Fr 14. Sep 14:59:13 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo7.gms =========== ----------------------------- Fr 14. Sep 14:59:13 CEST 2012 ----------------------------- @03 1347627553 --- Job fo7.gms Start 09/14/12 14:59:13 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo7.gms(508) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- fo7.gms(503) 3 Mb --- Generating MINLP model m --- fo7.gms(508) 5 Mb --- 212 rows 115 columns 869 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- fo7.gms(508) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.111_fo7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 869 elements of which 2% are non-linear(NL) included in 212 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 115 variables: Continuous(73), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (205) infeasibile 0 H 0 0 0 1 0 14 7.3 NA 1 SAFH 14 1 0 1 3E+14 14 1.7 23.7468 2 SAFH 20 2 0 1 83 12 0.94 17.2161 3 SAFH 26 3 0 1 1.3E+02 14 1.3 31.9817 4 SAFH 28 4 0 1 1.3E+02 14 0.27 38.889 5 SAFG 33 5 0 1 3E+14 0 1.8E-15 37.9104 5 FOUND SOLUTION: 37.9104 (NLP) in 1 sec. 6 SAFH 33 5 0 1 3E+14 13 0.03 37.7921 7 SAFG 37 6 0 1 3E+14 0 0 35.3416 7 FOUND SOLUTION: 35.3416 (NLP) in 1 sec. 8 SAFH 37 6 0 1 3E+14 14 0.27 34.348 9 SAFG 38 7 0 1 3E+14 0 4.4E-16 34.7081 9 FOUND SOLUTION: 34.7081 (NLP) in 1 sec. 10 SAFH 38 7 0 1 3E+14 14 0.085 34.1955 11 SAFG 44 8 0 1 3E+14 0 7.1E-15 33.9383 11 FOUND SOLUTION: 33.9383 (NLP) in 1 sec. 12 SAFH 44 8 0 1 3E+14 14 0.24 32.8547 13 SAFH 46 9 0 1 1E+02 14 0.16 34.6947 14 SAFG 49 10 0 1 3E+14 0 0 31.2586 14 FOUND SOLUTION: 31.2586 (NLP) in 2 sec. 15 SAFH 49 10 0 1 3E+14 14 0.15 30.6205 16 SAFH 51 11 0 1 1.4E+02 14 0.19 50.1192 17 SAFH 53 12 0 1 1.3E+02 14 0.087 42.7591 18 SAFH 54 13 0 1 1.4E+02 14 0.15 31.8793 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 57 14 0 1 1.1E+02 14 0.095 44.9699 20 SAFG 59 15 0 1 3E+14 0 8.9E-16 29.5611 20 FOUND SOLUTION: 29.5611 (NLP) in 3 sec. 21 SAFH 59 15 0 1 3E+14 14 0.04 29.4138 22 SAFH 62 16 0 1 1.3E+02 14 0.08 29.9055 23 SAFH 63 17 0 1 1.1E+02 14 0.034 29.9147 24 SAFH 67 18 0 1 1.1E+02 14 0.021 39.1025 25 SAFH 73 19 0 1 84 14 0.12 41.4931 26 SAFH 74 20 0 1 1.3E+02 14 0.074 41.1541 27 SAFH 76 21 0 1 1.2E+02 14 0.072 36.8489 28 SAFH 78 22 0 1 1E+02 14 0.044 39.238 29 SAFH 84 23 0 1 1.2E+02 14 0.17 41.824 30 SAFH 85 24 0 1 1.3E+02 14 0.0077 33.4808 31 SAFH 90 25 0 1 1.3E+02 14 0.035 30.2933 32 SAFG 93 26 0 1 3E+14 0 3.9E-13 29.5024 32 FOUND SOLUTION: 29.5024 (NLP) in 5 sec. 33 SAFH 93 26 0 1 3E+14 14 0.18 29.1466 34 SAFH 94 27 0 1 1.4E+02 14 0.0074 40.3767 35 SAFH 97 28 0 1 1.3E+02 14 0.024 52.2704 36 SAFG 98 29 0 1 3E+14 0 2.3E-09 25.2683 36 FOUND SOLUTION: 25.2683 (NLP) in 6 sec. 37 SAFH 98 29 0 1 3E+14 12 0.0063 25.2529 38 SAFH 101 30 0 1 1.1E+02 14 0.05 46.2983 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 102 31 0 1 1.4E+02 11 0.023 37.934 40 SAFH 104 32 0 1 1.4E+02 14 0.028 53.8894 41 SAFH 110 33 0 1 1.2E+02 11 0.013 50.3716 42 SAFH 115 34 0 1 1.2E+02 14 0.0069 39.0471 43 SAFH 118 35 0 1 86 13 0.018 47.267 44 SAFH 119 36 0 1 0.12 14 0.0078 47.2951 45 SAFH 123 37 0 1 89 14 0.032 56.5073 46 SAFH 125 38 0 1 66 12 0.014 49.5003 47 SAFH 128 39 0 1 1.3E+02 14 0.016 31.7199 48 SAFH 130 40 0 1 1.2E+02 12 0.012 44.9576 49 SAFH 132 41 0 1 1.2E+02 14 0.045 36.2585 50 SAFH 134 42 0 1 88 7 0.0011 35.5038 51 SAFH 135 43 0 1 1.3E+02 14 0.0089 45.8184 52 SAFH 138 44 0 1 99 10 0.0031 36.8568 53 SAFH 139 45 0 1 1.1E+02 14 0.019 29.8891 54 SAFH 140 46 0 1 87 14 0.064 27.2024 55 SAFH 142 47 0 1 1.2E+02 14 0.041 38.1379 56 SAFH 144 48 0 1 1.2E+02 12 0.0055 47.0925 57 SAFH 145 49 0 1 89 14 0.0065 35.1483 58 SAFH 152 50 0 1 1.2E+02 12 0.001 41.6048 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 153 51 0 1 82 13 0.0016 53.6699 60 SAFH 154 52 0 1 0.0041 11 0.00015 53.6716 61 SAFH 155 53 0 1 1.1E+02 14 0.014 38.5014 62 SAFH 159 54 0 1 1.1E+02 12 0.0071 50.9447 63 SAFH 163 55 0 1 1E+02 9 9.4E-05 53.6719 64 SAFH 164 56 0 1 97 14 0.061 42.9889 65 SAFH 165 57 0 1 1.1E+02 11 0.0037 38.1985 66 SAFH 169 58 0 1 1.2E+02 14 0.0058 52.8556 67 SAFH 170 59 0 1 0.041 14 0.0017 52.8643 68 SAFH 173 60 0 1 1.1E+02 14 0.044 36.8002 69 SAFH 175 61 0 1 93 14 0.0058 39.4135 70 SAFH 178 62 0 1 94 14 0.011 39.2083 71 SAFH 182 63 0 1 1.2E+02 10 0.00082 36.4033 72 SAFH 183 64 0 1 1.2E+02 14 0.0057 40.1562 73 SAFH 184 65 0 1 1.2E+02 10 0.00085 29.9436 74 SAFH 185 66 0 1 1.5E+02 14 0.014 38.936 75 SAFH 186 67 0 1 1.4E+02 14 0.012 38.3027 76 SAFH 188 68 0 1 1.1E+02 13 0.03 48.0054 77 SAFH 190 69 0 1 1.2E+02 14 0.0071 38.5331 78 SAFH 193 70 0 1 1.2E+02 14 0.038 43.5439 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 194 71 0 1 94 14 0.0075 50.6402 80 SAFH 195 72 0 1 99 14 0.00075 44.451 81 SAFH 196 73 0 1 1.4E+02 12 0.0019 62.6582 82 SAFH 198 74 0 1 1.2E+02 14 0.012 31.8098 83 SAFH 202 75 0 1 1.3E+02 12 0.01 38.1395 84 SAFH 205 76 0 1 1.4E+02 12 0.0074 50.9851 85 SAFH 207 77 0 1 0.082 13 0.0002 51.0046 86 SAFH 208 78 0 1 1.3E+02 11 0.0025 44.2601 87 SAFH 211 79 0 1 1.2E+02 14 0.0023 45.486 88 SAFH 216 80 0 1 1.2E+02 8 0.00087 44.2638 89 SAFH 217 81 0 1 1.2E+02 14 0.0021 47.6773 90 SAFH 218 82 0 1 1.3E+02 9 0.0003 37.8156 91 SAFH 219 83 0 1 1.2E+02 10 0.007 38.9723 92 SAFH 221 84 0 1 1.4E+02 14 0.0056 41.5219 93 SAFH 222 85 0 1 1.3E+02 14 0.00054 38.8203 94 SAFH 223 86 0 1 1.4E+02 14 0.0034 46.0113 95 SAFH 226 87 0 1 1E+02 14 0.0061 35.7219 96 SAFH 229 88 0 1 0.053 12 0.00072 35.7337 97 SAFH 230 89 0 1 1E+02 12 0.0068 35.8056 98 SAFH 234 90 0 1 1.1E+02 10 0.003 28.2295 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 237 91 0 1 1E+02 14 0.0069 33.3302 100 SAFH 239 92 0 1 1.3E+02 13 0.01 36.2699 101 SAFH 241 93 0 1 1.3E+02 13 0.001 35.0841 102 SAFH 242 94 0 1 1.1E+02 14 0.0058 35.598 103 SAFH 243 95 0 1 1.3E+02 14 0.0078 31.5519 104 SAFH 245 96 0 1 1.3E+02 14 0.0016 36.8908 105 SAFH 247 97 0 1 99 14 0.0057 35.5776 106 SAFH 250 98 0 1 1.3E+02 10 0.00031 46.3935 107 SAFH 251 99 0 1 1E+02 9 0.0018 30.7295 108 SAFH 255 100 0 1 1.2E+02 12 0.0052 37.6229 109 SAFH 256 101 0 1 1.1E+02 14 0.0015 35.9124 110 SAFH 258 102 0 1 1.2E+02 12 0.0036 33.8076 111 SAFH 260 103 0 1 1E+02 14 0.0037 51.073 112 SAFH 262 104 0 1 1.1E+02 14 0.0013 40.061 113 SAFH 264 105 0 1 1.1E+02 14 0.0059 30.021 114 SAFH 266 106 0 1 95 14 0.028 33.7908 115 SAFH 267 107 0 1 1.3E+02 12 0.0022 33.7526 116 SAFH 273 108 0 1 1.2E+02 14 0.00068 38.9871 117 SAFH 274 109 0 1 1.3E+02 10 0.0069 36.6781 118 SAFH 275 110 0 1 1.1E+02 13 0.0032 34.0461 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 278 111 0 1 1.1E+02 13 0.006 33.7363 120 SAFH 279 112 0 1 0.015 11 0.0014 33.7423 121 SAFH 280 113 0 1 1.3E+02 10 0.0036 45.664 122 SAFH 284 114 0 1 1.1E+02 10 0.0044 32.4019 123 SAFH 285 115 0 1 1.4E+02 12 0.0024 42.9512 124 SAFH 288 116 0 1 1.2E+02 12 0.0047 26.1986 125 SAFH 291 117 0 1 1.1E+02 14 0.002 30.2372 126 SAFH 294 118 0 1 1.1E+02 14 0.033 41.6837 127 SAFH 295 119 0 1 1.4E+02 10 0.0042 47.0351 128 SAFH 296 120 0 1 1.4E+02 12 0.0028 45.8193 129 SAFH 299 121 0 1 1.2E+02 9 4.6E-05 25.6784 130 SAFH 300 122 0 1 59 14 0.0019 26.36 131 SAFH 302 123 0 1 1.4E+02 8 0.0051 35.4047 132 SAFH 303 124 0 1 0.033 10 0.00022 35.4165 133 SAFH 304 125 0 1 46 10 0.0074 42.2462 134 SAFH 306 126 0 1 0.084 12 0.00056 42.2575 135 SAFH 307 127 0 1 0.0038 10 0.00015 42.2581 136 SAFH 308 128 0 1 0.0012 8 2.5E-05 42.2583 137 SAFH 309 129 0 1 0.00013 6 1.4E-05 42.2583 138 SAFH 310 130 0 1 3.6E-05 4 3.4E-06 42.2583 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 311 131 0 1 2.2E-05 2 3.3E-06 42.2583 140 SAFJL 312 132 0 1 3.7E-05 0 4E-08 42.2584 141 SAFG 298 131 0 0.5 3E+14 0 2.5E-10 24.8833 141 FOUND SOLUTION: 24.8833 (NLP) in 38 sec. 142 SAFH 298 131 0 0.5 3E+14 6 5.9E-05 24.8833 143 SAFH 299 132 0 0.5 1.4E+02 12 0.003 25.7084 144 SAFH 302 133 0 0.5 1.5E+02 14 5.3E-05 28.7573 145 SAFG 303 134 0 0.5 3E+14 0 4.1E-10 22.1188 145 FOUND SOLUTION: 22.1188 (NLP) in 55 sec. 146 SAFH 303 134 0 0.5 3E+14 8 6.3E-05 22.1187 147 SAFH 304 135 0 0.5 1E+02 12 0.0018 34.7475 148 SAFH 306 136 0 0.5 75 11 0.00049 28.611 149 SAFH 307 137 0 0.5 1.3E+02 12 2.8E-05 32.5568 150 SAFH 308 138 0 0.5 1.2E+02 4 5.9E-05 24.8833 151 SAFH 309 139 0 0.5 91 9 0.00056 25.9718 152 SAFH 310 140 0 0.5 1.3E+02 13 0.0009 44.3061 153 SAFH 311 141 0 0.5 1E+02 12 0.00014 27.6577 154 SAFH 312 142 0 0.5 1.3E+02 10 0.00017 37.1076 155 SAFH 313 143 0 0.5 1.2E+02 10 0.0002 25.9963 156 SAFH 314 144 0 0.5 1.2E+02 9 0.00011 24.9719 157 SAFH 315 145 0 0.5 92 6 0.00027 29.9454 158 SAFG 316 146 0 0.5 3E+14 0 1.1E-10 20.7298 158 FOUND SOLUTION: 20.7298 (NLP) in 97 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 316 146 0 0.5 3E+14 4 5.9E-05 20.7298 160 SAFH 317 147 0 0.5 82 1 1.4E-06 21.8369 161 SAFH 318 148 0 0.5 1.2E+02 9 0.00048 41.9793 162 SAFH 319 149 0 0.5 1E+02 4 0.00026 23.7029 163 SAFH 320 150 0 0.5 87 2 2.3E-05 23.7554 164 SAFJ 321 151 0 0.5 18 0 3.7E-07 20.7298 165 SAFJ 321 151 0 0.3 0 0 3.7E-07 20.7298 166 SAFJ 321 151 0 0.2 0 0 3.7E-07 20.7298 167 SAFJ 321 151 0 0.1 0 0 3.7E-07 20.7298 168 AFJ 321 151 0 0 5.6E-14 0 3.7E-07 20.7298 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.111_fo7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 20.729825069476131461 Max constraint (1) : 1.1157208490431003156e-10 Alternative solution : MIP Alt. objective value : 20.729825069476131461 Max constraint (1) : 1.1157208490431003156e-10 Time used (seconds) : 158.30 Time limit (seconds) : 7200 Iterations used : 168 Iteration limit : -1 Function evaluations : 4536 Gradient evaluations : 335 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 1/168 NLP solver calls : 169 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo7.gms(508) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo7.gms Stop 09/14/12 15:01:52 elapsed 0:02:38.337 @04 1347627712 ----------------------------- Fr 14. Sep 15:01:52 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8_ar2_1.gms =========== ----------------------------- Fr 14. Sep 15:00:41 CEST 2012 ----------------------------- @03 1347627641 --- Job fo8_ar2_1.gms Start 09/14/12 15:00:41 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8_ar2_1.gms(850) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- fo8_ar2_1.gms(845) 3 Mb --- Generating MINLP model m --- fo8_ar2_1.gms(850) 5 Mb --- 348 rows 145 columns 1,381 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8_ar2_1.gms(850) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.012 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.112_fo8_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1381 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 3.9 NA 1 SAFH 10 1 0 1 4.2E+14 16 0.51 54.8448 2 SAFH 16 2 0 1 1.4E+02 16 0.37 42.8531 3 SAFH 20 3 0 1 1.2E+02 16 0.45 38.0473 4 SAFH 22 4 0 1 1.5E+02 14 0.35 52.912 5 SAFH 26 5 0 1 1.4E+02 16 0.08 74.3324 6 SAFG 32 6 0 1 4.2E+14 0 0 59.4212 6 FOUND SOLUTION: 59.4212 (NLP) in 2 sec. 7 SAFH 32 6 0 1 4.2E+14 16 0.08 59.0901 8 SAFH 34 7 0 1 1.7E+02 16 0.08 45.1278 9 SAFG 41 8 0 1 4.2E+14 0 8.9E-16 44.6141 9 FOUND SOLUTION: 44.6141 (NLP) in 2 sec. 10 SAFH 41 8 0 1 4.2E+14 16 0.027 44.4857 11 SAFH 43 9 0 1 1.3E+02 16 0.05 55.4765 12 SAFH 49 10 0 1 1.5E+02 16 0.036 48.6379 13 SAFG 52 11 0 1 4.2E+14 0 7.4E-10 42.7958 13 FOUND SOLUTION: 42.7958 (NLP) in 3 sec. 14 SAFH 52 11 0 1 4.2E+14 16 0.0079 42.7709 15 SAFG 57 12 0 1 4.2E+14 0 1.8E-15 40.4135 15 FOUND SOLUTION: 40.4135 (NLP) in 3 sec. 16 SAFH 57 12 0 1 4.2E+14 16 0.0057 40.3648 17 SAFH 64 13 0 1 1.7E+02 16 0.01 50.8296 18 SAFH 69 14 0 1 85 16 0.048 48.3089 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 71 15 0 1 1.3E+02 16 0.0052 46.0443 20 SAFH 73 16 0 1 1E+02 16 0.019 48.9809 21 SAFH 77 17 0 1 1.1E+02 16 0.0014 40.7798 22 SAFH 83 18 0 1 1.3E+02 16 0.0082 46.1317 23 SAFH 85 19 0 1 1.6E+02 16 0.053 53.1314 24 SAFH 87 20 0 1 1.4E+02 16 0.018 42.4316 25 SAFG 91 21 0 1 4.2E+14 0 8.9E-16 38.8097 25 FOUND SOLUTION: 38.8097 (NLP) in 9 sec. 26 SAFH 91 21 0 1 4.2E+14 16 0.003 38.7944 27 SAFH 97 22 0 1 1.4E+02 16 0.044 52.7343 28 SAFH 99 23 0 1 1.3E+02 12 0.0076 52.4584 29 SAFH 101 24 0 1 42 15 0.0022 50.911 30 SAFH 103 25 0 1 1.2E+02 16 0.0034 48.9964 31 SAFH 111 26 0 1 1.5E+02 16 0.013 47.0503 32 SAFH 113 27 0 1 1.4E+02 16 0.035 47.1274 33 SAFH 115 28 0 1 1.3E+02 10 0.0022 47.6711 34 SAFH 117 29 0 1 1.2E+02 16 0.013 56.603 35 SAFH 123 30 0 1 1.2E+02 14 0.0072 62.3905 36 SAFH 129 31 0 1 1.6E+02 12 0.001 56.2606 37 SAFH 130 32 0 1 1.5E+02 15 0.0027 42.34 38 SAFH 136 33 0 1 1.4E+02 14 0.00016 58.1235 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 137 34 0 1 1.3E+02 9 0.001 66.6353 40 SAFG 138 35 0 1 4.2E+14 0 6.5E-13 37.9392 40 FOUND SOLUTION: 37.9392 (NLP) in 18 sec. 41 SAFH 138 35 0 1 4.2E+14 16 0.016 37.8707 42 SAFH 140 36 0 1 1.4E+02 8 7.8E-05 61.8178 43 SAFH 141 37 0 1 1.6E+02 12 0.01 46.4521 44 SAFH 143 38 0 1 1.3E+02 10 0.0027 53.306 45 SAFG 149 39 0 1 4.2E+14 0 9.3E-11 30.9726 45 FOUND SOLUTION: 30.9726 (NLP) in 22 sec. 46 SAFH 149 39 0 1 4.2E+14 14 0.00063 30.9695 47 SAFH 150 40 0 1 1.2E+02 12 0.00025 49.9708 48 SAFH 151 41 0 1 1.4E+02 10 4.6E-05 45.3677 49 SAFH 152 42 0 1 1.3E+02 8 0.028 40.8775 50 SAFH 154 43 0 1 1.6E+02 8 0.00012 50.9258 51 SAFH 155 44 0 1 1.4E+02 12 2.5E-05 50.3363 52 SAFH 156 45 0 1 1.1E+02 12 0.00023 33.7411 53 SAFH 157 46 0 1 1.3E+02 10 0.00073 38.1243 54 SAFH 158 47 0 1 0.0029 8 0.00025 38.1256 55 SAFH 159 48 0 1 1.1E+02 16 0.0053 50.3848 56 SAFH 161 49 0 1 1.9E+02 10 0.00016 39.3449 57 SAFH 162 50 0 1 1.2E+02 16 0.0055 55.4809 58 SAFH 166 51 0 1 1.5E+02 10 0.00033 42.3604 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 167 52 0 1 1.7E+02 14 0.0019 46.6343 60 SAFH 170 53 0 1 1.7E+02 8 2.1E-05 42.3616 61 SAFH 171 54 0 1 1.5E+02 16 0.0057 46.7197 62 SAFH 173 55 0 1 1.4E+02 15 0.0057 60.7413 63 SAFH 175 56 0 1 1.4E+02 6 4.4E-05 58.5023 64 SAFH 176 57 0 1 1.1E+02 10 0.0052 56.2085 65 SAFH 180 58 0 1 1.4E+02 4 1.1E-05 43.392 66 SAFH 181 59 0 1 1.2E+02 8 3.2E-05 39.3455 67 SAFH 182 60 0 1 0.00029 6 3.2E-05 39.3456 68 SAFH 183 61 0 1 1.8E+02 4 1E-05 49.1337 69 SAFH 184 62 0 1 1.2E+02 12 0.0006 47.7915 70 SAFH 185 63 0 1 1.8E+02 6 6.4E-06 52.4846 71 SAFH 186 64 0 1 1.3E+02 4 1.3E-06 41.8726 72 SAFH 187 65 0 1 1.3E+02 2 4.7E-06 52.4847 73 SAFH 188 66 0 1 1.5E+02 10 0.0044 37.7161 74 SAFH 190 67 0 1 1.1E+02 6 2.9E-06 49.0491 75 SAFJL 191 68 0 1 47 0 8.2E-07 51.3275 76 SAFH 181 67 0 0.5 1.6E+02 2 1.3E-06 39.507 77 SAFH 182 68 0 0.5 1.1E+02 2 6.2E-06 46.507 78 SAFH 183 69 0 0.5 85 4 4.6E-06 46.0487 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 184 70 0 0.5 1.2E+02 10 0.019 42.3089 80 SAFH 186 71 0 0.5 1.6E+02 9 0.00041 53.5763 81 SAFH 187 72 0 0.5 95 10 0.00081 44.3341 82 SAFJ 188 73 0 0.5 1.1E+02 0 1.2E-07 45.8301 83 SAFH 188 73 0 0.3 1.1E+02 16 0.0061 37.9373 84 SAFJ 190 74 0 0.3 1.2E+02 0 1.2E-07 41.4196 85 SAFJ 190 74 0 0.2 0 0 1.2E-07 41.4196 86 SAFJ 190 74 0 0.1 0 0 1.2E-07 41.4196 87 AFG 190 74 0 0 4.2E+14 0 4.6E-10 30.3406 87 FOUND SOLUTION: 30.3406 (NLP) in 115 sec. 88 AFH 190 74 0 0 4.2E+14 14 0.0012 30.3392 89 AFH 192 75 0 0 7.1 14 4.1E-05 30.3404 90 AFH 193 76 0 0 6 12 2.5E-05 30.3405 91 AFH 194 77 0 0 1 10 2.5E-05 30.3405 92 AFH 195 78 0 0 0.00088 8 1.3E-05 30.3406 93 AFH 196 79 0 0 1 6 3.6E-06 30.3406 94 AFH 197 80 0 0 1 4 2.9E-06 30.3406 95 AFH 198 81 0 0 0.00015 2 2.6E-06 30.3406 96 AFJ 199 82 0 0 1 0 6.6E-07 30.3406 96 FOUND SOLUTION: 30.3406 in 417 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.112_fo8_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 30.340610420051444152 Max constraint (2) : 4.5965808936898611137e-10 Alternative solution : MIP Alt. objective value : 30.340609366707198546 Max constraint (13) : 6.6137803234056491419e-07 Time used (seconds) : 416.67 Time limit (seconds) : 7200 Iterations used : 96 Iteration limit : -1 Function evaluations : 2384 Gradient evaluations : 209 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 10/96 NLP solver calls : 97 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8_ar2_1.gms(850) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8_ar2_1.gms Stop 09/14/12 15:07:37 elapsed 0:06:56.718 @04 1347628057 ----------------------------- Fr 14. Sep 15:07:37 CEST 2012 ----------------------------- =ready= Linux opt212 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8_ar25_1.gms =========== ----------------------------- Fr 14. Sep 15:00:41 CEST 2012 ----------------------------- @03 1347627641 --- Job fo8_ar25_1.gms Start 09/14/12 15:00:41 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8_ar25_1.gms(850) 2 Mb --- Starting execution: elapsed 0:00:00.012 --- fo8_ar25_1.gms(845) 3 Mb --- Generating MINLP model m --- fo8_ar25_1.gms(850) 5 Mb --- 348 rows 145 columns 1,381 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8_ar25_1.gms(850) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.113_fo8_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1381 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 5.3 NA 1 SAFH 10 1 0 1 4.2E+14 16 0.54 49.129 2 SAFG 16 2 0 1 4.2E+14 0 2.7E-15 49.5644 2 FOUND SOLUTION: 49.5644 (NLP) in 1 sec. 3 SAFH 16 2 0 1 4.2E+14 16 0.71 39.6 4 SAFG 28 3 0 1 4.2E+14 0 1.8E-15 47.8347 4 FOUND SOLUTION: 47.8347 (NLP) in 1 sec. 5 SAFH 28 3 0 1 4.2E+14 16 0.094 47.1494 6 SAFH 33 4 0 1 1.6E+02 16 0.055 54.9842 7 SAFH 40 5 0 1 1.6E+02 16 0.038 47.9861 8 SAFG 49 6 0 1 4.2E+14 0 4.4E-16 37.3791 8 FOUND SOLUTION: 37.3791 (NLP) in 2 sec. 9 SAFH 49 6 0 1 4.2E+14 16 0.028 37.2397 10 SAFH 55 7 0 1 1.8E+02 16 0.05 44.7401 11 SAFH 63 8 0 1 2.1E+02 16 0.018 45.0491 12 SAFH 67 9 0 1 80 16 0.038 45.6895 13 SAFG 71 10 0 1 4.2E+14 0 3.3E-12 36.7668 13 FOUND SOLUTION: 36.7668 (NLP) in 5 sec. 14 SAFH 71 10 0 1 4.2E+14 16 0.012 36.7024 15 SAFH 74 11 0 1 1.7E+02 16 0.068 53.6172 16 SAFH 76 12 0 1 1.6E+02 16 0.092 48.7947 17 SAFH 80 13 0 1 1.5E+02 16 0.038 44.9848 18 SAFH 86 14 0 1 1.8E+02 16 0.024 40.7578 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 87 15 0 1 1.9E+02 15 0.0032 43.9579 20 SAFH 90 16 0 1 1.8E+02 16 0.042 46.8029 21 SAFH 94 17 0 1 1.6E+02 16 0.0072 38.8276 22 SAFH 98 18 0 1 1.4E+02 15 0.011 47.7704 23 SAFH 102 19 0 1 1.4E+02 14 0.0096 43.5382 24 SAFH 109 20 0 1 1.7E+02 15 0.0019 71.9083 25 SAFG 113 21 0 1 4.2E+14 0 8.9E-16 36.0541 25 FOUND SOLUTION: 36.0541 (NLP) in 11 sec. 26 SAFH 113 21 0 1 4.2E+14 16 0.026 36.0001 27 SAFH 115 22 0 1 1.4E+02 14 0.033 46.9168 28 SAFH 118 23 0 1 1.8E+02 15 0.0016 43.8201 29 SAFH 123 24 0 1 1.2E+02 16 0.034 53.7856 30 SAFH 124 25 0 1 1.4E+02 16 0.021 52.7224 31 SAFH 126 26 0 1 1.5E+02 12 0.011 49.4037 32 SAFH 128 27 0 1 85 15 0.025 56.318 33 SAFH 130 28 0 1 1.6E+02 16 0.0092 48.5288 34 SAFH 132 29 0 1 1.3E+02 16 0.0034 55.2416 35 SAFH 136 30 0 1 1.4E+02 10 0.0031 65.7763 36 SAFH 140 31 0 1 1.8E+02 15 0.0082 50.4553 37 SAFH 142 32 0 1 1.5E+02 16 0.044 51.8169 38 SAFH 145 33 0 1 1.8E+02 7 0.00053 51.9771 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 146 34 0 1 1.6E+02 15 0.0032 51.08 40 SAFH 147 35 0 1 1.4E+02 14 0.046 43.785 41 SAFH 149 36 0 1 1.6E+02 16 0.0092 60.8418 42 SAFH 153 37 0 1 1.3E+02 13 0.0027 42.7423 43 SAFH 154 38 0 1 1.4E+02 16 0.0095 54.762 44 SAFH 156 39 0 1 0.25 14 0.0048 54.7835 45 SAFH 158 40 0 1 0.17 14 0.00047 54.7954 46 SAFH 159 41 0 1 0.0035 12 0.00047 54.7959 47 SAFH 160 42 0 1 1.5E+02 14 0.0017 36.7117 48 SAFH 164 43 0 1 1.5E+02 14 0.011 61.3555 49 SAFH 167 44 0 1 1.4E+02 16 0.0083 54.8449 50 SAFH 169 45 0 1 1.2E+02 16 0.0056 48.4599 51 SAFH 171 46 0 1 1.8E+02 12 0.00093 49.4154 52 SAFH 172 47 0 1 1.7E+02 15 0.0017 50.9616 53 SAFH 174 48 0 1 1.5E+02 12 0.018 30.522 54 SAFH 178 49 0 1 1.5E+02 16 0.0078 60.4929 55 SAFH 181 50 0 1 1.4E+02 15 0.0028 48.4974 56 SAFH 183 51 0 1 98 15 0.00028 49.3357 57 SAFH 184 52 0 1 1.5E+02 16 0.0025 48.9172 58 SAFH 188 53 0 1 1.6E+02 16 0.0013 40.0918 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 190 54 0 1 1.6E+02 12 0.0017 44.7594 60 SAFH 192 55 0 1 1.7E+02 16 0.00097 55.6435 61 SAFH 193 56 0 1 1.5E+02 14 0.0023 45.6355 62 SAFH 194 57 0 1 92 14 0.0046 56.5928 63 SAFH 198 58 0 1 1.5E+02 14 0.0047 48.8456 64 SAFH 200 59 0 1 1.6E+02 15 0.0082 43.5586 65 SAFH 202 60 0 1 1.4E+02 12 0.0075 57.9327 66 SAFH 204 61 0 1 1.6E+02 12 0.00035 47.3208 67 SAFH 205 62 0 1 1.3E+02 10 0.00048 43.2226 68 SAFH 206 63 0 1 1.4E+02 14 0.00061 48.8681 69 SAFH 207 64 0 1 1.1E+02 16 0.0077 53.3233 70 SAFH 209 65 0 1 67 14 0.0063 50.238 71 SAFH 213 66 0 1 1.4E+02 13 0.00091 56.5915 72 SAFH 214 67 0 1 1.5E+02 15 0.014 51.7607 73 SAFH 216 68 0 1 0.27 13 0.0056 51.8226 74 SAFH 218 69 0 1 1.4E+02 14 0.023 49.2728 75 SAFH 221 70 0 1 1.6E+02 13 0.0054 48.5245 76 SAFH 223 71 0 1 1.4E+02 16 0.00045 43.2767 77 SAFH 224 72 0 1 76 14 0.00045 42.8749 78 SAFH 225 73 0 1 1.5E+02 12 0.0077 43.9665 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 227 74 0 1 1.7E+02 14 0.00058 48.7225 80 SAFH 228 75 0 1 1.9E+02 14 0.0045 56.1846 81 SAFH 234 76 0 1 1.4E+02 14 0.00035 40.8445 82 SAFH 235 77 0 1 1.5E+02 10 0.001 52.1744 83 SAFH 236 78 0 1 1.5E+02 14 0.0058 38.0284 84 SAFH 238 79 0 1 1.2E+02 14 0.0016 55.0958 85 SAFH 239 80 0 1 1.4E+02 16 0.0025 54.5837 86 SAFH 242 81 0 1 1.5E+02 14 0.0058 40.6781 87 SAFH 244 82 0 1 1.5E+02 9 0.00053 56.6708 88 SAFH 245 83 0 1 1.7E+02 16 0.0051 39.2398 89 SAFH 249 84 0 1 1.4E+02 16 0.0059 63.0135 90 SAFH 250 85 0 1 1.7E+02 13 0.00028 49.3367 91 SAFH 251 86 0 1 1.7E+02 16 0.0062 55.2282 92 SAFH 254 87 0 1 1.6E+02 12 0.00034 54.9133 93 SAFH 255 88 0 1 0.00038 10 0.00034 54.9135 94 SAFH 256 89 0 1 1.3E+02 8 0.0024 48.2559 95 SAFH 258 90 0 1 1.1E+02 12 0.0059 37.5113 96 SAFH 262 91 0 1 1.4E+02 16 0.0012 50.9792 97 SAFH 264 92 0 1 1.7E+02 16 0.0077 63.4795 98 SAFH 268 93 0 1 1.6E+02 12 0.0013 42.3853 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 270 94 0 1 1.4E+02 16 0.0015 51.975 100 SAFH 274 95 0 1 2E+02 16 0.00025 55.8559 101 SAFH 275 96 0 1 1.8E+02 4 0.00091 43.5935 102 SAFH 276 97 0 1 1.4E+02 8 0.0023 50.9323 103 SAFH 277 98 0 1 1.4E+02 9 6.1E-05 48.5307 104 SAFH 278 99 0 1 0.00087 7 4.1E-05 48.531 105 SAFH 279 100 0 1 1.1E+02 14 0.0064 42.5184 106 SAFH 281 101 0 1 1.1E+02 12 0.00036 51.213 107 SAFH 282 102 0 1 1.6E+02 14 0.0006 59.6964 108 SAFH 283 103 0 1 1.2E+02 14 0.00097 36.2522 109 SAFH 284 104 0 1 1.1E+02 9 0.00045 49.7172 110 SAFH 285 105 0 1 1.2E+02 15 0.003 45.4965 111 SAFH 289 106 0 1 57 13 0.00021 40.0111 112 SAFH 290 107 0 1 51 11 4.1E-05 47.5048 113 SAFH 291 108 0 1 1.4E+02 16 0.0035 58.5135 114 SAFH 293 109 0 1 1.3E+02 8 3.2E-05 38.0344 115 SAFH 294 110 0 1 0.00012 6 3.2E-05 38.0344 116 SAFH 295 111 0 1 0.00015 4 3.2E-05 38.0345 117 SAFH 296 112 0 1 5.3E-05 2 1.5E-06 38.0345 118 SAFH 297 113 0 1 1.6E-05 1 1.5E-06 38.0345 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFJL 298 114 0 1 1.7E-05 0 3.4E-10 38.0345 120 SAFG 288 113 0 0.5 4.2E+14 0 1.2E-10 31.7302 120 FOUND SOLUTION: 31.7302 (NLP) in 70 sec. 121 SAFH 288 113 0 0.5 4.2E+14 8 0.0014 31.7244 122 SAFJ 290 114 0 0.5 1.8E+02 0 3.4E-10 46.8683 123 SAFJ 290 114 0 0.3 0 0 3.4E-10 46.8683 124 SAFJ 290 114 0 0.2 0 0 3.4E-10 46.8683 125 SAFJ 290 114 0 0.1 0 0 3.4E-10 46.8683 126 AFG 290 114 0 0 4.2E+14 0 0 28.0452 126 FOUND SOLUTION: 28.0452 (NLP) in 179 sec. 127 AFH 290 114 0 0 4.2E+14 16 0.0034 28.0351 128 AFH 293 115 0 0 2.1 14 0.0015 28.0415 129 AFH 295 116 0 0 1 10 0.00074 28.0448 130 AFH 296 117 0 0 58 8 0.00019 28.0451 131 AFH 297 118 0 0 60 6 0.00019 28.0451 132 AFH 298 119 0 0 64 4 3.5E-06 28.0452 133 AFH 299 120 0 0 3 2 1.6E-06 28.0452 134 AFJ 300 121 0 0 3 0 3.8E-07 28.0452 134 FOUND SOLUTION: 28.0452 in 433 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.113_fo8_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 28.045181398626411351 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 28.045180107597897035 Max constraint (2) : 3.8117635714485231802e-07 Time used (seconds) : 432.26 Time limit (seconds) : 7200 Iterations used : 134 Iteration limit : -1 Function evaluations : 2864 Gradient evaluations : 310 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 9/134 NLP solver calls : 135 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8_ar25_1.gms(850) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8_ar25_1.gms Stop 09/14/12 15:07:54 elapsed 0:07:12.312 @04 1347628074 ----------------------------- Fr 14. Sep 15:07:54 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8_ar3_1.gms =========== ----------------------------- Fr 14. Sep 15:01:52 CEST 2012 ----------------------------- @03 1347627712 --- Job fo8_ar3_1.gms Start 09/14/12 15:01:52 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8_ar3_1.gms(850) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- fo8_ar3_1.gms(845) 3 Mb --- Generating MINLP model m --- fo8_ar3_1.gms(850) 5 Mb --- 348 rows 145 columns 1,381 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8_ar3_1.gms(850) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.018 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.114_fo8_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1381 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 6.5 NA 1 SAFH 10 1 0 1 4.2E+14 16 0.87 31.6769 2 SAFG 16 2 0 1 4.2E+14 0 8.9E-16 44.0385 2 FOUND SOLUTION: 44.0385 (NLP) in 1 sec. 3 SAFH 16 2 0 1 4.2E+14 16 1.5 35.1693 4 SAFH 22 3 0 1 1.3E+02 16 1.1 37.9408 5 SAFH 24 4 0 1 1.1E+02 16 0.97 53.1343 6 SAFG 26 5 0 1 4.2E+14 0 8.9E-16 38.8903 6 FOUND SOLUTION: 38.8903 (NLP) in 1 sec. 7 SAFH 26 5 0 1 4.2E+14 16 0.12 38.6016 8 SAFH 28 6 0 1 1.8E+02 16 0.56 43.8665 9 SAFH 30 7 0 1 1.5E+02 16 0.17 47.2748 10 SAFH 36 8 0 1 2E+02 16 0.16 44.627 11 SAFH 40 9 0 1 1.8E+02 16 0.21 54.7964 12 SAFH 44 10 0 1 1.7E+02 16 0.1 40.3323 13 SAFH 49 11 0 1 1.7E+02 14 0.019 55.0752 14 SAFH 51 12 0 1 0.16 12 0.0067 55.1197 15 SAFH 53 13 0 1 0.05 8 0.0019 55.1432 16 SAFG 55 14 0 1 4.2E+14 0 8.9E-16 36.4563 16 FOUND SOLUTION: 36.4563 (NLP) in 3 sec. 17 SAFH 55 14 0 1 4.2E+14 16 0.057 36.2029 18 SAFH 59 15 0 1 1.4E+02 16 0.061 46.3394 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 68 16 0 1 1.4E+02 16 0.028 53.0877 20 SAFH 72 17 0 1 1.4E+02 16 0.023 42.7977 21 SAFH 75 18 0 1 1.5E+02 10 0.019 40.565 22 SAFH 77 19 0 1 1.6E+02 16 0.023 44.9457 23 SAFH 79 20 0 1 1.8E+02 16 0.093 55.9045 24 SAFH 81 21 0 1 1.6E+02 12 0.085 49.4799 25 SAFH 82 22 0 1 1.6E+02 14 0.012 50.8434 26 SAFH 83 23 0 1 1.6E+02 16 0.035 59.874 27 SAFG 88 24 0 1 4.2E+14 0 0 35.5937 27 FOUND SOLUTION: 35.5937 (NLP) in 7 sec. 28 SAFH 88 24 0 1 4.2E+14 16 0.02 35.5185 29 SAFH 91 25 0 1 1.7E+02 16 0.03 68.448 30 SAFH 93 26 0 1 1.3E+02 14 0.012 54.2457 31 SAFH 95 27 0 1 1.5E+02 16 0.027 48.0417 32 SAFH 96 28 0 1 1.8E+02 16 0.026 50.4588 33 SAFH 98 29 0 1 1.5E+02 16 0.031 38.2099 34 SAFH 100 30 0 1 1.6E+02 15 0.047 43.8251 35 SAFH 102 31 0 1 1.4E+02 16 0.021 46.7008 36 SAFH 104 32 0 1 1.5E+02 16 0.023 46.451 37 SAFH 106 33 0 1 1.4E+02 16 0.033 38.5645 38 SAFG 110 34 0 1 4.2E+14 0 8.9E-16 34.9308 38 FOUND SOLUTION: 34.9308 (NLP) in 13 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 110 34 0 1 4.2E+14 16 0.033 34.8468 40 SAFH 111 35 0 1 1.7E+02 12 0.012 35.4571 41 SAFH 114 36 0 1 1.1E+02 14 0.043 46.7525 42 SAFH 116 37 0 1 1.4E+02 16 0.0069 47.0214 43 SAFH 118 38 0 1 1.4E+02 16 0.013 51.4756 44 SAFH 120 39 0 1 0.18 15 0.003 51.5177 45 SAFH 126 40 0 1 1E+02 14 0.044 39.5827 46 SAFH 128 41 0 1 1.3E+02 16 0.0031 42.6046 47 SAFG 132 42 0 1 4.2E+14 0 8.1E-11 33.3325 47 FOUND SOLUTION: 33.3325 (NLP) in 17 sec. 48 SAFH 132 42 0 1 4.2E+14 16 0.011 33.2888 49 SAFH 133 43 0 1 1.4E+02 14 0.021 55.8752 50 SAFH 136 44 0 1 1.4E+02 16 0.016 43.5789 51 SAFH 139 45 0 1 1.2E+02 16 0.0082 34.3886 52 SAFH 141 46 0 1 1.8E+02 16 0.004 52.9348 53 SAFH 145 47 0 1 1.8E+02 14 0.00051 42.0214 54 SAFH 146 48 0 1 1.1E+02 12 0.005 44.9357 55 SAFH 149 49 0 1 1.3E+02 14 0.0045 42.8316 56 SAFH 150 50 0 1 1.5E+02 16 0.011 58.4773 57 SAFH 155 51 0 1 1.4E+02 16 0.0023 60.7831 58 SAFH 159 52 0 1 1.7E+02 14 0.0013 33.3311 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 161 53 0 1 1.2E+02 14 0.007 32.117 60 SAFH 163 54 0 1 1.5E+02 9 0.0043 77.0759 61 SAFH 167 55 0 1 1.4E+02 12 0.0046 46.5567 62 SAFH 169 56 0 1 1.5E+02 16 0.018 50.042 63 SAFH 170 57 0 1 1.5E+02 10 0.015 50.2661 64 SAFH 172 58 0 1 1.3E+02 16 0.01 51.3227 65 SAFH 174 59 0 1 1.5E+02 14 0.0047 50.5476 66 SAFH 178 60 0 1 1.5E+02 14 0.0036 43.6498 67 SAFH 181 61 0 1 1.3E+02 14 0.017 52.3388 68 SAFH 183 62 0 1 1.7E+02 16 0.0092 69.2358 69 SAFH 189 63 0 1 1.4E+02 14 0.0038 40.6314 70 SAFH 194 64 0 1 1.8E+02 12 0.007 60.0656 71 SAFH 199 65 0 1 1.4E+02 16 0.002 42.0223 72 SAFH 204 66 0 1 1.5E+02 16 0.0026 60.3008 73 SAFH 206 67 0 1 1.3E+02 16 0.008 58.9665 74 SAFH 210 68 0 1 1.8E+02 15 0.011 47.32 75 SAFH 212 69 0 1 1.6E+02 10 0.00015 40.9016 76 SAFH 213 70 0 1 0.0021 8 0.00015 40.902 77 SAFH 214 71 0 1 1.2E+02 7 0.0065 45.4334 78 SAFH 215 72 0 1 1.8E+02 16 0.013 41.394 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 216 73 0 1 1.7E+02 16 0.0094 63.8086 80 SAFH 218 74 0 1 1.4E+02 16 0.0028 43.0526 81 SAFH 219 75 0 1 1.6E+02 12 0.0035 41.0073 82 SAFH 222 76 0 1 0.074 9 0.0008 41.0155 83 SAFH 223 77 0 1 0.0013 7 0.00071 41.016 84 SAFH 224 78 0 1 0.012 6 2.5E-05 41.0176 85 SAFH 225 79 0 1 1.7E+02 16 0.01 55.2856 86 SAFH 227 80 0 1 1.8E+02 12 0.0085 54.1114 87 SAFH 229 81 0 1 1.7E+02 16 0.01 65.8455 88 SAFH 230 82 0 1 0.41 16 0.0044 65.8504 89 SAFH 236 83 0 1 1.8E+02 12 0.00095 40.9587 90 SAFH 237 84 0 1 2E+02 14 0.0012 53.3769 91 SAFH 238 85 0 1 2.1E+02 12 0.0046 38.1931 92 SAFH 240 86 0 1 1.6E+02 16 0.011 54.245 93 SAFH 242 87 0 1 1.8E+02 16 0.012 43.4373 94 SAFH 244 88 0 1 1.4E+02 13 0.00097 47.3765 95 SAFH 245 89 0 1 1.4E+02 14 0.0044 50.1696 96 SAFH 247 90 0 1 1.2E+02 12 0.0056 44.2087 97 SAFH 250 91 0 1 0.088 13 0.0016 44.2321 98 SAFH 251 92 0 1 0.098 8 0.00024 44.237 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 252 93 0 1 0.31 12 0.00041 44.2371 100 SAFH 253 94 0 1 0.23 12 0.00017 44.2375 101 SAFH 254 95 0 1 1.3E+02 14 0.00043 42.3778 102 SAFH 255 96 0 1 0.0034 12 9.3E-05 42.3785 103 SAFH 256 97 0 1 0.00087 10 3.7E-05 42.3787 104 SAFH 257 98 0 1 82 16 0.011 40.3556 105 SAFH 261 99 0 1 82 8 1.2E-05 42.3787 106 SAFH 262 100 0 1 0.00011 6 9.9E-06 42.3787 107 SAFH 263 101 0 1 3.9E-05 4 9.9E-06 42.3788 108 SAFH 264 102 0 1 2.5E-05 2 9.1E-06 42.3788 109 SAFJL 265 103 0 1 7.5E-05 0 3.3E-07 42.3788 110 SAFG 255 102 0 0.5 4.2E+14 0 1.9E-11 27.5192 110 FOUND SOLUTION: 27.5192 (NLP) in 48 sec. 111 SAFH 255 102 0 0.5 4.2E+14 11 0.0017 27.5177 112 SAFH 257 103 0 0.5 1.1E+02 9 0.0013 36.8137 113 SAFG 258 104 0 0.5 4.2E+14 0 2.2E-11 23.9101 113 FOUND SOLUTION: 23.9101 (NLP) in 52 sec. 114 SAFH 258 104 0 0.5 4.2E+14 5 3.7E-05 23.91 115 SAFH 259 105 0 0.5 1.7E+02 14 0.0011 39.9889 116 SAFH 262 106 0 0.5 1.6E+02 5 3E-05 30.3303 117 SAFH 263 107 0 0.5 91 3 6.5E-06 30.0996 118 SAFH 264 108 0 0.5 1.6E+02 14 0.0027 32.8281 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 266 109 0 0.5 1.6E+02 4 5.2E-06 34.0409 120 SAFH 267 110 0 0.5 94 16 0.015 34.0449 121 SAFH 269 111 0 0.5 98 1 1.1E-06 28.8607 122 SAFH 270 112 0 0.5 1.6E+02 9 0.0021 38.1566 123 SAFH 275 113 0 0.5 97 16 0.0049 35.3812 124 SAFH 278 114 0 0.5 1.6E+02 4 3.5E-06 31.9561 125 SAFH 279 115 0 0.5 1.7E+02 16 0.0036 36.049 126 SAFH 281 116 0 0.5 1.1E+02 12 0.00073 48.9586 127 SAFH 282 117 0 0.5 1.7E+02 6 2.2E-05 33.4887 128 SAFH 283 118 0 0.5 1.8E+02 16 0.0015 40.8168 129 SAFH 285 119 0 0.5 1.1E+02 12 3.7E-05 37.5947 130 SAFH 286 120 0 0.5 1.3E+02 16 0.0012 33.7414 131 SAFH 292 121 0 0.5 1.2E+02 12 0.003 34.7895 132 SAFH 296 122 0 0.5 1.7E+02 12 0.0025 35.0248 133 SAFH 298 123 0 0.5 1.4E+02 7 0.00061 40.6466 134 SAFH 299 124 0 0.5 1.5E+02 12 0.00084 34.9232 135 SAFH 300 125 0 0.5 1.2E+02 7 0.0025 38.8178 136 SAFH 301 126 0 0.5 1.6E+02 12 0.0015 42.0197 137 SAFH 304 127 0 0.5 1.6E+02 10 0.00061 37.153 138 SAFH 305 128 0 0.5 1E+02 10 0.00063 36.0568 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFJ 306 129 0 0.5 1.6E+02 0 3.3E-07 38.1451 140 SAFJ 306 129 0 0.3 31 0 3.3E-07 28.8607 141 SAFJ 306 129 0 0.2 0 0 3.3E-07 28.8607 142 SAFJ 306 129 0 0.1 19 0 3.3E-07 23.9101 143 AFJ 306 129 0 0 6.4E-14 0 3.3E-07 23.9101 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.114_fo8_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 23.910053467250879322 Max constraint (8) : 2.2215118633539532311e-11 Alternative solution : MIP Alt. objective value : 23.910053467250879322 Max constraint (8) : 2.2215118633539532311e-11 Time used (seconds) : 175.81 Time limit (seconds) : 7200 Iterations used : 143 Iteration limit : -1 Function evaluations : 4304 Gradient evaluations : 316 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 1/143 NLP solver calls : 144 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8_ar3_1.gms(850) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8_ar3_1.gms Stop 09/14/12 15:04:48 elapsed 0:02:55.853 @04 1347627888 ----------------------------- Fr 14. Sep 15:04:48 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8_ar4_1.gms =========== ----------------------------- Fr 14. Sep 15:04:29 CEST 2012 ----------------------------- @03 1347627869 --- Job fo8_ar4_1.gms Start 09/14/12 15:04:29 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8_ar4_1.gms(850) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- fo8_ar4_1.gms(845) 3 Mb --- Generating MINLP model m --- fo8_ar4_1.gms(850) 5 Mb --- 348 rows 145 columns 1,381 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8_ar4_1.gms(850) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.020 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.115_fo8_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1381 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 8.3 NA 1 SAFH 10 1 0 1 4.2E+14 16 2.3 33.2121 2 SAFG 21 2 0 1 4.2E+14 0 1.8E-15 44.868 2 FOUND SOLUTION: 44.868 (NLP) in 1 sec. 3 SAFH 21 2 0 1 4.2E+14 12 0.76 41.1879 4 SAFH 25 3 0 1 2.3E+02 14 1 49.0127 5 SAFH 27 4 0 1 1.7E+02 14 1.4 41.3221 6 SAFG 29 5 0 1 4.2E+14 0 0 31.7433 6 FOUND SOLUTION: 31.7433 (NLP) in 1 sec. 7 SAFH 29 5 0 1 4.2E+14 16 0.57 30.7856 8 SAFH 32 6 0 1 1.4E+02 16 0.27 37.2248 9 SAFH 36 7 0 1 1.7E+02 16 0.16 53.2318 10 SAFH 38 8 0 1 1.1E+02 16 0.062 54.9947 11 SAFH 43 9 0 1 1.7E+02 16 0.074 56.0802 12 SAFH 48 10 0 1 1.6E+02 16 0.29 49.1386 13 SAFH 51 11 0 1 1E+02 14 0.17 37.3415 14 SAFH 54 12 0 1 79 16 0.08 37.8494 15 SAFH 55 13 0 1 43 16 0.031 40.8645 16 SAFH 58 14 0 1 72 16 0.15 40.8232 17 SAFH 60 15 0 1 1.8E+02 14 0.087 39.3241 18 SAFH 62 16 0 1 1.7E+02 16 0.1 58.9399 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 64 17 0 1 1.4E+02 16 0.2 34.7424 20 SAFH 65 18 0 1 30 16 0.029 39.0925 21 SAFH 69 19 0 1 1.2E+02 16 0.063 46.22 22 SAFH 72 20 0 1 1.8E+02 12 0.082 33.4787 23 SAFH 73 21 0 1 1E+02 16 0.013 38.0353 24 SAFH 76 22 0 1 1.3E+02 16 0.045 41.4753 25 SAFH 77 23 0 1 2E+02 16 0.042 48.4643 26 SAFH 81 24 0 1 1.6E+02 16 0.055 47.5057 27 SAFH 90 25 0 1 1.2E+02 16 0.28 49.1274 28 SAFH 91 26 0 1 1.5E+02 16 0.042 62.9326 29 SAFH 96 27 0 1 1.5E+02 16 0.011 45.9437 30 SAFH 102 28 0 1 0.43 14 0.0058 46.0647 31 SAFH 103 29 0 1 44 16 0.017 40.6918 32 SAFH 110 30 0 1 1.4E+02 16 0.023 54.578 33 SAFH 115 31 0 1 1.4E+02 16 0.0032 33.1425 34 SAFH 120 32 0 1 1.1E+02 16 0.006 41.0171 35 SAFH 122 33 0 1 1.1E+02 14 0.049 41.816 36 SAFH 123 34 0 1 85 15 0.018 43.4805 37 SAFH 126 35 0 1 1.6E+02 14 0.0096 53.5931 38 SAFH 132 36 0 1 1.5E+02 16 0.054 43.9171 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 133 37 0 1 63 14 0.041 48.9368 40 SAFH 134 38 0 1 1.5E+02 14 0.005 38.8851 41 SAFH 136 39 0 1 1.7E+02 16 0.059 57.4375 42 SAFH 137 40 0 1 1.7E+02 16 0.031 40.1047 43 SAFH 138 41 0 1 1.4E+02 13 0.0014 44.1576 44 SAFH 140 42 0 1 79 14 0.043 38.4304 45 SAFH 142 43 0 1 0.14 16 0.0095 38.4748 46 SAFH 146 44 0 1 0.16 15 0.002 38.4983 47 SAFH 148 45 0 1 89 16 0.0085 46.1388 48 SAFH 151 46 0 1 93 16 0.016 54.5211 49 SAFH 152 47 0 1 1.4E+02 16 0.021 53.0189 50 SAFH 156 48 0 1 1.2E+02 14 0.012 46.2052 51 SAFH 158 49 0 1 1.5E+02 16 0.023 44.9171 52 SAFH 160 50 0 1 1.8E+02 16 0.0031 47.9919 53 SAFH 164 51 0 1 1.5E+02 16 0.0086 51.6735 54 SAFH 168 52 0 1 1.4E+02 16 0.0064 43.6831 55 SAFH 171 53 0 1 1.7E+02 12 0.005 50.865 56 SAFH 174 54 0 1 1.9E+02 16 0.018 43.244 57 SAFH 176 55 0 1 1.5E+02 14 0.0076 44.4904 58 SAFH 182 56 0 1 1.3E+02 16 0.013 45.2545 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 187 57 0 1 1.7E+02 12 0.00054 44.865 60 SAFH 188 58 0 1 0.0014 10 0.00038 44.8656 61 SAFH 189 59 0 1 0.0033 8 0.00028 44.8667 62 SAFH 190 60 0 1 0.0025 6 9.4E-05 44.8673 63 SAFH 191 61 0 1 2.2E+02 16 0.04 45.8044 64 SAFH 192 62 0 1 84 14 0.0078 39.9105 65 SAFH 195 63 0 1 1.2E+02 14 0.01 40.4195 66 SAFH 197 64 0 1 1.4E+02 16 0.013 74.5201 67 SAFH 200 65 0 1 1.7E+02 4 9.4E-05 44.8676 68 SAFH 201 66 0 1 1.9E+02 14 0.00094 47.0574 69 SAFH 202 67 0 1 85 16 0.012 57.142 70 SAFH 204 68 0 1 1.5E+02 16 0.0061 61.3311 71 SAFH 206 69 0 1 1E+02 15 0.017 48.8771 72 SAFH 208 70 0 1 1.5E+02 14 0.0049 54.8416 73 SAFH 210 71 0 1 1.3E+02 12 0.027 40.7569 74 SAFH 213 72 0 1 1.7E+02 16 0.004 50.7665 75 SAFH 216 73 0 1 1.6E+02 9 0.0019 45.5075 76 SAFH 221 74 0 1 1.5E+02 16 0.008 43.0472 77 SAFH 223 75 0 1 1.3E+02 16 0.0037 52.5022 78 SAFH 225 76 0 1 1.3E+02 16 0.025 44.0054 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 227 77 0 1 72 16 0.02 50.034 80 SAFH 229 78 0 1 1.5E+02 14 0.043 55.901 81 SAFH 231 79 0 1 95 16 0.013 43.4206 82 SAFH 235 80 0 1 75 16 0.022 40.106 83 SAFH 237 81 0 1 1.8E+02 9 0.00016 52.6066 84 SAFH 238 82 0 1 1.9E+02 14 0.02 52.9388 85 SAFH 239 83 0 1 1.5E+02 12 0.0043 32.3285 86 SAFH 242 84 0 1 1.4E+02 16 0.011 53.4722 87 SAFH 244 85 0 1 1.3E+02 14 0.011 41.4352 88 SAFG 245 86 0 1 4.2E+14 0 0 29.099 88 FOUND SOLUTION: 29.099 (NLP) in 28 sec. 89 SAFH 245 86 0 1 4.2E+14 11 0.00032 29.0986 90 SAFH 246 87 0 1 1.3E+02 6 2.3E-05 50.0405 91 SAFH 247 88 0 1 1.7E+02 11 0.0028 59.2868 92 SAFH 248 89 0 1 1.6E+02 13 0.0027 40.0679 93 SAFH 251 90 0 1 1.3E+02 16 0.0073 56.4116 94 SAFH 253 91 0 1 1.3E+02 16 0.0093 55.0472 95 SAFH 255 92 0 1 1.8E+02 16 0.0071 53.3739 96 SAFH 258 93 0 1 1.7E+02 16 0.0021 60.4092 97 SAFH 261 94 0 1 1.4E+02 14 0.02 44.1715 98 SAFH 262 95 0 1 0.12 14 0.0085 44.1799 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 267 96 0 1 1.2E+02 13 0.0056 35.2689 100 SAFH 269 97 0 1 0.059 14 0.00044 35.278 101 SAFH 270 98 0 1 0.0055 12 0.00032 35.2791 102 SAFH 271 99 0 1 0.0011 10 0.00024 35.2795 103 SAFH 272 100 0 1 0.0016 8 4.7E-05 35.2798 104 SAFH 273 101 0 1 9.3E-05 6 4.3E-06 35.2798 105 SAFH 274 102 0 1 3.1E-05 4 4.3E-06 35.2798 106 SAFH 275 103 0 1 2.9E-05 2 3.6E-06 35.2798 107 SAFJL 276 104 0 1 1.8E-05 0 1E-07 35.2798 108 SAFH 266 103 0 0.5 1.5E+02 4 4.9E-06 30.6771 109 SAFH 267 104 0 0.5 71 2 4.9E-06 30.6771 110 SAFG 268 105 0 0.5 4.2E+14 0 1.3E-12 26.2563 110 FOUND SOLUTION: 26.2563 (NLP) in 38 sec. 111 SAFJ 268 105 0 0.5 4.2E+14 0 5.5E-08 26.2563 112 SAFJ 268 105 0 0.3 0 0 5.5E-08 26.2563 113 SAFJ 268 105 0 0.2 0 0 5.5E-08 26.2563 114 SAFJ 268 105 0 0.1 0 0 5.5E-08 26.2563 115 AFG 268 105 0 0 4.2E+14 0 1.1E-10 22.3819 115 FOUND SOLUTION: 22.3819 (NLP) in 70 sec. 116 AFH 268 105 0 0 4.2E+14 10 3.7E-05 22.3819 117 AFH 269 106 0 0 2 8 3.7E-05 22.3819 118 AFH 270 107 0 0 72 6 3.7E-05 22.3819 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 271 108 0 0 73 4 1.1E-05 22.3819 120 AFH 272 109 0 0 3 2 4.2E-06 22.3819 121 AFJ 273 110 0 0 7 0 2.2E-07 22.3819 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.115_fo8_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22.381896516277283382 Max constraint (7) : 1.0967582397825026419e-10 Alternative solution : MIP Alt. objective value : 22.381896516277283382 Max constraint (7) : 1.0967582397825026419e-10 Time used (seconds) : 130.27 Time limit (seconds) : 7200 Iterations used : 121 Iteration limit : -1 Function evaluations : 2608 Gradient evaluations : 283 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.4 % MIP time usage : 99.6 % Optimal/total MIPs : 7/121 NLP solver calls : 122 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8_ar4_1.gms(850) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8_ar4_1.gms Stop 09/14/12 15:06:39 elapsed 0:02:10.325 @04 1347627999 ----------------------------- Fr 14. Sep 15:06:39 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8_ar5_1.gms =========== ----------------------------- Fr 14. Sep 15:04:48 CEST 2012 ----------------------------- @03 1347627888 --- Job fo8_ar5_1.gms Start 09/14/12 15:04:48 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8_ar5_1.gms(850) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- fo8_ar5_1.gms(845) 3 Mb --- Generating MINLP model m --- fo8_ar5_1.gms(850) 5 Mb --- 348 rows 145 columns 1,381 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8_ar5_1.gms(850) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.012 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.116_fo8_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1381 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 9.2 NA 1 SAFH 16 1 0 1 4.2E+14 14 2.1 34.5465 2 SAFH 28 2 0 1 1.5E+02 16 0.98 46.239 3 SAFG 30 3 0 1 4.2E+14 0 8.9E-16 44.4958 3 FOUND SOLUTION: 44.4958 (NLP) in 1 sec. 4 SAFH 30 3 0 1 4.2E+14 16 1.5 40.0564 5 SAFH 32 4 0 1 1.7E+02 12 0.39 50.167 6 SAFG 34 5 0 1 4.2E+14 0 8.9E-16 40.9026 6 FOUND SOLUTION: 40.9026 (NLP) in 1 sec. 7 SAFH 34 5 0 1 4.2E+14 16 0.99 38.23 8 SAFH 36 6 0 1 1.1E+02 16 0.25 44.9805 9 SAFG 42 7 0 1 4.2E+14 0 0 36.169 9 FOUND SOLUTION: 36.169 (NLP) in 1 sec. 10 SAFH 42 7 0 1 4.2E+14 14 0.16 35.2601 11 SAFH 49 8 0 1 1.8E+02 12 1 39.1006 12 SAFH 50 9 0 1 1.4E+02 16 0.28 54.3815 13 SAFH 52 10 0 1 1.5E+02 16 0.038 59.2291 14 SAFH 55 11 0 1 1.5E+02 16 0.18 53.058 15 SAFH 58 12 0 1 1.5E+02 16 0.39 67.2315 16 SAFH 59 13 0 1 1.5E+02 14 0.26 41.5442 17 SAFH 60 14 0 1 1.4E+02 16 0.26 53.9252 18 SAFH 61 15 0 1 1.4E+02 16 0.072 37.3408 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 63 16 0 1 1.3E+02 16 0.073 43.6093 20 SAFH 65 17 0 1 1.6E+02 16 0.049 60.6071 21 SAFH 70 18 0 1 1.2E+02 14 0.16 46.9251 22 SAFH 71 19 0 1 1E+02 16 0.036 56.6378 23 SAFG 78 20 0 1 4.2E+14 0 4.6E-12 35.2298 23 FOUND SOLUTION: 35.2298 (NLP) in 3 sec. 24 SAFH 78 20 0 1 4.2E+14 14 0.024 35.0475 25 SAFH 82 21 0 1 1.3E+02 16 0.062 43.151 26 SAFH 83 22 0 1 1.2E+02 16 0.092 59.2312 27 SAFH 87 23 0 1 1.4E+02 16 0.19 48.0883 28 SAFH 88 24 0 1 1E+02 16 0.017 46.6548 29 SAFH 89 25 0 1 0.15 16 0.005 46.6744 30 SAFH 92 26 0 1 1.4E+02 16 0.038 49.8064 31 SAFH 96 27 0 1 1.2E+02 12 0.014 44.921 32 SAFH 101 28 0 1 1.8E+02 16 0.12 47.0989 33 SAFH 103 29 0 1 1.4E+02 14 0.077 44.5202 34 SAFH 104 30 0 1 1.7E+02 16 0.067 45.9293 35 SAFH 108 31 0 1 1.3E+02 16 0.009 49.1548 36 SAFH 113 32 0 1 1.1E+02 14 0.038 40.9794 37 SAFH 116 33 0 1 1.6E+02 16 0.042 45.9278 38 SAFH 117 34 0 1 1.7E+02 16 0.015 55.5568 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 118 35 0 1 1.6E+02 16 0.031 57.8646 40 SAFH 120 36 0 1 97 14 0.049 51.6186 41 SAFH 123 37 0 1 1.2E+02 16 0.029 44.5578 42 SAFH 125 38 0 1 0.21 16 0.012 44.584 43 SAFH 129 39 0 1 1.5E+02 16 0.054 35.658 44 SAFH 131 40 0 1 0.42 12 0.019 35.8052 45 SAFH 133 41 0 1 1.5E+02 14 0.043 46.3285 46 SAFH 135 42 0 1 1.2E+02 12 0.014 51.8431 47 SAFH 137 43 0 1 1.2E+02 16 0.011 64.2192 48 SAFH 139 44 0 1 0.16 16 0.003 64.2648 49 SAFH 144 45 0 1 1.5E+02 16 0.007 43.1435 50 SAFH 145 46 0 1 1.6E+02 12 0.0028 52.4264 51 SAFH 146 47 0 1 2E+02 14 0.096 36.7935 52 SAFH 147 48 0 1 1.3E+02 14 0.019 41.6825 53 SAFG 148 49 0 1 4.2E+14 0 4.7E-13 30.832 53 FOUND SOLUTION: 30.832 (NLP) in 12 sec. 54 SAFH 148 49 0 1 4.2E+14 14 0.0016 30.8237 55 SAFH 152 50 0 1 1.6E+02 16 0.0085 43.931 56 SAFH 153 51 0 1 0.052 16 0.0033 43.9412 57 SAFH 156 52 0 1 1.8E+02 14 0.0029 38.5041 58 SAFH 161 53 0 1 1.6E+02 13 0.013 40.0573 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 163 54 0 1 1.5E+02 16 0.036 58.2279 60 SAFG 165 55 0 1 4.2E+14 0 1.8E-15 29.3462 60 FOUND SOLUTION: 29.3462 (NLP) in 15 sec. 61 SAFH 165 55 0 1 4.2E+14 12 0.0013 29.3444 62 SAFH 168 56 0 1 1.7E+02 16 0.0041 38.0294 63 SAFH 174 57 0 1 0.08 10 0.0014 38.0422 64 SAFH 175 58 0 1 2 8 6.5E-05 38.0403 65 SAFH 176 59 0 1 83 14 0.0058 40.1827 66 SAFH 178 60 0 1 0.055 12 5.2E-05 40.1962 67 SAFH 179 61 0 1 0.00026 10 3.2E-05 40.1963 68 SAFH 180 62 0 1 0.00028 8 3.2E-05 40.1963 69 SAFH 181 63 0 1 0.0003 6 1.4E-05 40.1964 70 SAFH 182 64 0 1 8.4E-05 4 8.7E-06 40.1964 71 SAFH 183 65 0 1 2.2E-05 2 1.7E-06 40.1964 72 SAFJL 184 66 0 1 2.5E-05 0 8.1E-07 40.1964 73 SAFG 168 65 0 0.5 4.2E+14 0 1.3E-10 28.2692 73 FOUND SOLUTION: 28.2692 (NLP) in 18 sec. 74 SAFH 168 65 0 0.5 4.2E+14 6 5.4E-05 28.2692 75 SAFH 169 66 0 0.5 50 4 6.5E-06 29.3462 76 SAFG 170 67 0 0.5 4.2E+14 0 5.8E-12 27.3142 76 FOUND SOLUTION: 27.3142 (NLP) in 21 sec. 77 SAFH 170 67 0 0.5 4.2E+14 6 0.002 27.3121 78 SAFH 172 68 0 0.5 1.6E+02 10 0.0094 31.5125 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 173 69 0 0.5 1.3E+02 2 6.5E-06 29.3462 80 SAFJ 174 70 0 0.5 56 0 7.1E-07 27.4231 81 SAFG 174 70 0 0.3 4.2E+14 0 1.3E-11 24.4231 81 FOUND SOLUTION: 24.4231 (NLP) in 35 sec. 82 SAFJ 174 70 0 0.3 4.2E+14 0 7.1E-07 24.4231 83 SAFJ 174 70 0 0.2 0 0 7.1E-07 24.4231 84 SAFJ 174 70 0 0.1 0 0 7.1E-07 24.4231 85 AFG 174 70 0 0 4.2E+14 0 8.9E-16 22.3819 85 FOUND SOLUTION: 22.3819 (NLP) in 110 sec. 86 AFH 174 70 0 0 4.2E+14 16 0.087 22.3443 87 AFH 175 71 0 0 9.3 16 0.018 22.3598 88 AFH 177 72 0 0 5.1 16 0.0081 22.3777 89 AFH 178 73 0 0 4 16 0.0021 22.3804 90 AFH 179 74 0 0 68 14 0.00095 22.3816 91 AFH 180 75 0 0 62 12 5E-05 22.3818 92 AFH 181 76 0 0 66 10 4.6E-05 22.3819 93 AFH 182 77 0 0 65 8 1.4E-05 22.3819 94 AFH 183 78 0 0 9 6 1.1E-05 22.3819 95 AFH 184 79 0 0 5 4 8.2E-06 22.3819 96 AFH 185 80 0 0 4 2 3.1E-06 22.3819 97 AFJ 186 81 0 0 5 0 6.6E-07 22.3819 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.116_fo8_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22.38189651655016732 Max constraint (7) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 22.38189651655016732 Max constraint (7) : 8.8817841970012523234e-16 Time used (seconds) : 469.22 Time limit (seconds) : 7200 Iterations used : 97 Iteration limit : -1 Function evaluations : 3248 Gradient evaluations : 202 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 13/97 NLP solver calls : 98 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8_ar5_1.gms(850) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8_ar5_1.gms Stop 09/14/12 15:12:37 elapsed 0:07:49.260 @04 1347628357 ----------------------------- Fr 14. Sep 15:12:37 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo8.gms =========== ----------------------------- Fr 14. Sep 15:06:39 CEST 2012 ----------------------------- @03 1347627999 --- Job fo8.gms Start 09/14/12 15:06:39 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo8.gms(643) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- fo8.gms(638) 3 Mb --- Generating MINLP model m --- fo8.gms(643) 5 Mb --- 274 rows 147 columns 1,137 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- fo8.gms(643) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.117_fo8._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1137 elements of which 1% are non-linear(NL) included in 274 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 147 variables: Continuous(91), Binary(56), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=37 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (265) infeasibile 0 H 0 0 0 1 0 16 8.3 NA 1 SAFH 10 1 0 1 4.2E+14 16 4.5 39.4917 2 SAFH 16 2 0 1 1.6E+02 14 1.7 36.8186 3 SAFH 22 3 0 1 1.9E+02 16 0.69 59.7964 4 SAFH 30 4 0 1 1.9E+02 16 1.1 49.6195 5 SAFG 35 5 0 1 4.2E+14 0 8.9E-16 48.6437 5 FOUND SOLUTION: 48.6437 (NLP) in 2 sec. 6 SAFH 35 5 0 1 4.2E+14 16 0.63 46.514 7 SAFH 37 6 0 1 1.4E+02 16 0.65 44.9497 8 SAFG 39 7 0 1 4.2E+14 0 3.6E-12 41.1311 8 FOUND SOLUTION: 41.1311 (NLP) in 3 sec. 9 SAFH 39 7 0 1 4.2E+14 16 0.68 38.2646 10 SAFH 41 8 0 1 1.7E+02 16 0.57 68.1587 11 SAFH 43 9 0 1 1.1E+02 16 0.17 59.4756 12 SAFH 48 10 0 1 1.7E+02 16 0.14 40.8332 13 SAFH 50 11 0 1 1.6E+02 16 0.083 55.7878 14 SAFH 52 12 0 1 1.9E+02 16 0.13 70.5051 15 SAFH 54 13 0 1 1.8E+02 16 0.083 55.3652 16 SAFH 58 14 0 1 1.4E+02 16 0.33 48.2458 17 SAFH 61 15 0 1 1.9E+02 16 0.14 46.4694 18 SAFH 64 16 0 1 1.7E+02 16 0.046 56.2502 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 66 17 0 1 1.6E+02 16 0.072 49.0005 20 SAFH 69 18 0 1 1.5E+02 14 0.043 43.1694 21 SAFH 73 19 0 1 1.4E+02 16 0.015 58.7422 22 SAFH 75 20 0 1 1.1E+02 14 0.036 50.3781 23 SAFH 77 21 0 1 1.5E+02 16 0.024 43.4708 24 SAFH 80 22 0 1 1.5E+02 16 0.08 52.6171 25 SAFH 82 23 0 1 1.2E+02 16 0.16 28.9178 26 SAFH 83 24 0 1 1.9E+02 16 0.062 67.5195 27 SAFG 84 25 0 1 4.2E+14 0 8.9E-16 41.0663 27 FOUND SOLUTION: 41.0663 (NLP) in 7 sec. 28 SAFH 84 25 0 1 4.2E+14 16 0.1 40.7254 29 SAFG 85 26 0 1 4.2E+14 0 8.8E-12 27.4397 29 FOUND SOLUTION: 27.4397 (NLP) in 9 sec. 30 SAFH 85 26 0 1 4.2E+14 12 0.072 27.2896 31 SAFH 87 27 0 1 1.9E+02 16 0.013 49.0205 32 SAFH 90 28 0 1 1.3E+02 16 0.074 45.925 33 SAFH 92 29 0 1 1.8E+02 16 0.081 57.8629 34 SAFH 94 30 0 1 1.7E+02 16 0.11 42.3347 35 SAFH 95 31 0 1 0.52 16 0.02 42.4697 36 SAFH 98 32 0 1 1.6E+02 16 0.017 51.3189 37 SAFH 100 33 0 1 1.3E+02 16 0.03 56.7698 38 SAFH 102 34 0 1 0.37 16 0.012 56.8473 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 106 35 0 1 1.6E+02 14 0.13 58.233 40 SAFH 107 36 0 1 1.7E+02 14 0.084 50.8991 41 SAFH 109 37 0 1 1.4E+02 16 0.21 53.8288 42 SAFH 110 38 0 1 1.1E+02 14 0.029 40.6216 43 SAFH 111 39 0 1 1.3E+02 16 0.019 60.9108 44 SAFH 113 40 0 1 1.5E+02 14 0.019 49.7376 45 SAFH 116 41 0 1 1.6E+02 16 0.045 50.504 46 SAFH 118 42 0 1 82 16 0.026 47.2711 47 SAFH 120 43 0 1 1.9E+02 16 0.047 29.5059 48 SAFH 121 44 0 1 1.6E+02 16 0.0094 40.689 49 SAFH 123 45 0 1 2E+02 14 0.055 37.4436 50 SAFH 125 46 0 1 2.1E+02 13 0.027 39.3454 51 SAFH 127 47 0 1 1.4E+02 16 0.016 41.3955 52 SAFH 134 48 0 1 1.6E+02 15 0.011 41.0625 53 SAFH 136 49 0 1 2E+02 14 0.023 50.0917 54 SAFH 139 50 0 1 1.4E+02 14 0.016 58.695 55 SAFH 141 51 0 1 1.5E+02 16 0.012 36.1112 56 SAFH 146 52 0 1 1.7E+02 14 0.011 56.6553 57 SAFH 150 53 0 1 1.4E+02 16 0.025 62.1447 58 SAFH 155 54 0 1 1.5E+02 16 0.017 55.0051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 157 55 0 1 1.8E+02 16 0.0056 46.7372 60 SAFH 159 56 0 1 1.8E+02 12 0.047 41.3168 61 SAFH 161 57 0 1 1.8E+02 16 0.017 51.1031 62 SAFH 163 58 0 1 1.3E+02 16 0.0076 55.8727 63 SAFH 166 59 0 1 1.3E+02 16 0.011 59.0876 64 SAFH 171 60 0 1 61 16 0.0064 41.9274 65 SAFH 177 61 0 1 1.4E+02 16 0.0047 46.5718 66 SAFH 178 62 0 1 1.5E+02 16 0.014 61.4389 67 SAFH 179 63 0 1 1.4E+02 16 0.03 33.3231 68 SAFH 181 64 0 1 1.5E+02 14 0.016 67.9655 69 SAFH 183 65 0 1 1.4E+02 16 0.019 49.5481 70 SAFH 185 66 0 1 0.37 16 0.00011 49.6066 71 SAFH 186 67 0 1 0.002 14 9.8E-05 49.607 72 SAFH 187 68 0 1 0.001 12 8.7E-05 49.6072 73 SAFH 188 69 0 1 0.00091 10 4.2E-05 49.6074 74 SAFH 189 70 0 1 0.00019 8 4.2E-05 49.6074 75 SAFH 190 71 0 1 0.019 6 3.1E-05 49.6075 76 SAFH 191 72 0 1 0.0002 4 1.4E-05 49.6075 77 SAFH 192 73 0 1 0.00022 2 3.8E-06 49.6076 78 SAFJL 193 74 0 1 2.7E-05 0 1.5E-09 49.6076 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 183 73 0 0.5 1.7E+02 16 0.0043 30.7883 80 SAFG 189 74 0 0.5 4.2E+14 0 8.9E-16 26.6863 80 FOUND SOLUTION: 26.6863 (NLP) in 38 sec. 81 SAFH 189 74 0 0.5 4.2E+14 16 0.0054 26.6758 82 SAFH 190 75 0 0.5 1.4E+02 16 0.016 32.1601 83 SAFH 192 76 0 0.5 1.3E+02 16 0.036 26.6192 84 SAFH 195 77 0 0.5 1.8E+02 14 0.021 30.6403 85 SAFH 196 78 0 0.5 1.5E+02 14 0.22 32.6922 86 SAFH 197 79 0 0.5 1.2E+02 6 0.00078 41.6936 87 SAFH 198 80 0 0.5 1.7E+02 16 0.0026 51.1272 88 SAFH 200 81 0 0.5 1.5E+02 16 0.018 33.5079 89 SAFH 202 82 0 0.5 74 14 0.00025 30.4222 90 SAFH 203 83 0 0.5 98 12 0.0002 30.4226 91 SAFG 204 84 0 0.5 4.2E+14 0 3E-10 26.3854 91 FOUND SOLUTION: 26.3854 (NLP) in 111 sec. 92 SAFH 204 84 0 0.5 4.2E+14 14 0.0054 26.3745 93 SAFH 207 85 0 0.5 87 8 0.01 30.6689 94 SAFH 209 86 0 0.5 1.3E+02 14 0.001 30.2552 95 SAFH 210 87 0 0.5 1.4E+02 13 0.0016 28.9777 96 SAFH 212 88 0 0.5 1.9E+02 15 0.0014 26.8711 97 SAFH 215 89 0 0.5 48 12 9.9E-05 27.7667 98 SAFH 216 90 0 0.5 1.9E+02 14 0.00049 35.0501 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 217 91 0 0.5 1.4E+02 8 6.5E-06 36.7938 100 SAFH 218 92 0 0.5 1.7E+02 9 0.0011 33.9332 101 SAFH 220 93 0 0.5 1.5E+02 8 0.0043 30.6709 102 SAFH 221 94 0 0.5 78 4 0.00013 30.677 103 SAFH 222 95 0 0.5 1.9E+02 10 6.2E-05 26.6888 104 SAFG 223 96 0 0.5 4.2E+14 0 2.2E-10 25.6127 104 FOUND SOLUTION: 25.6127 (NLP) in 212 sec. 105 SAFH 223 96 0 0.5 4.2E+14 11 7.1E-05 25.6127 106 SAFH 224 97 0 0.5 53 12 0.00026 26.3351 107 SAFH 225 98 0 0.5 1.6E+02 2 7.2E-05 26.2562 108 SAFG 226 99 0 0.5 4.2E+14 0 1.5E-12 22.3819 108 FOUND SOLUTION: 22.3819 (NLP) in 221 sec. 109 SAFH 226 99 0 0.5 4.2E+14 6 5.6E-05 22.3819 110 SAFJ 227 100 0 0.5 1.9E+02 0 6E-07 29.7045 111 SAFJ 227 100 0 0.3 0 0 6E-07 29.7045 112 SAFJ 227 100 0 0.2 0 0 6E-07 29.7045 113 SAFJ 227 100 0 0.1 0 0 6E-07 29.7045 114 AFH 227 100 0 0 1.9E+02 4 1.7E-05 22.3819 115 AFH 228 101 0 0 63 2 7.7E-06 22.3819 116 AFJ 229 102 0 0 68 0 9.2E-07 22.3819 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.117_fo8._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 22.381896516545683795 Max constraint (1) : 1.5250023466251150239e-12 Alternative solution : MIP Alt. objective value : 22.381896516545683795 Max constraint (1) : 1.5250023466251150239e-12 Time used (seconds) : 532.16 Time limit (seconds) : 7200 Iterations used : 116 Iteration limit : -1 Function evaluations : 5600 Gradient evaluations : 239 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 3/116 NLP solver calls : 117 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo8.gms(643) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo8.gms Stop 09/14/12 15:15:32 elapsed 0:08:52.216 @04 1347628532 ----------------------------- Fr 14. Sep 15:15:32 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9_ar2_1.gms =========== ----------------------------- Fr 14. Sep 15:07:37 CEST 2012 ----------------------------- @03 1347628057 --- Job fo9_ar2_1.gms Start 09/14/12 15:07:37 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9_ar2_1.gms(1055) 2 Mb --- Starting execution: elapsed 0:00:00.040 --- fo9_ar2_1.gms(1050) 3 Mb --- Generating MINLP model m --- fo9_ar2_1.gms(1055) 5 Mb --- 436 rows 181 columns 1,751 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9_ar2_1.gms(1055) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.044 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.118_fo9_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1751 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 3.9 NA 1 SAFG 10 1 0 1 5.5E+11 0 4.4E-10 48.0147 1 FOUND SOLUTION: 48.0147 (NLP) in 1 sec. 2 SAFH 10 1 0 1 5.6E+14 16 0.59 46.4945 3 SAFH 16 2 0 1 4.3 16 0.014 47.9618 4 SAFH 21 3 0 1 0.22 18 3.4E-05 48.0145 5 SAFH 22 4 0 1 0.00054 16 2.7E-05 48.0146 6 SAFH 23 5 0 1 0.00034 14 1.1E-05 48.0146 7 SAFH 24 6 0 1 7.3E-05 12 1.1E-05 48.0146 8 SAFH 25 7 0 1 7.7E-05 10 9.5E-06 48.0147 9 SAFH 26 8 0 1 5.9E-05 8 9.5E-06 48.0147 10 SAFH 27 9 0 1 8.3E-05 6 4.7E-06 48.0147 11 SAFH 28 10 0 1 4.2E-05 4 4.6E-06 48.0147 12 SAFH 29 11 0 1 4.1E-05 2 4.6E-06 48.0147 13 SAFJL 30 12 0 1 5.8E-06 0 7.8E-11 48.0147 14 SAFH 20 11 0 0.5 1.9E+02 18 0.47 41.2478 15 SAFG 25 12 0 0.5 5.6E+14 0 1.8E-15 41.4808 15 FOUND SOLUTION: 41.4808 (NLP) in 3 sec. 16 SAFH 25 12 0 0.5 5.6E+14 18 0.018 41.4183 17 SAFH 27 13 0 0.5 1.4E+02 14 0.48 50.0067 18 SAFH 33 14 0 0.5 1.5E+02 18 0.013 42.8074 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 37 15 0 0.5 5.6E+14 0 0 38.3712 19 FOUND SOLUTION: 38.3712 (NLP) in 7 sec. 20 SAFH 37 15 0 0.5 5.6E+14 14 0.051 37.8254 21 SAFH 44 16 0 0.5 1.9E+02 14 0.021 37.1427 22 SAFH 46 17 0 0.5 1.8E+02 10 0.0014 43.5647 23 SAFH 50 18 0 0.5 1.8E+02 16 0.0038 41.4537 24 SAFH 54 19 0 0.5 1.8E+02 4 0.013 45.4769 25 SAFG 56 20 0 0.5 5.6E+14 0 1.8E-15 37.1474 25 FOUND SOLUTION: 37.1474 (NLP) in 18 sec. 26 SAFH 56 20 0 0.5 5.6E+14 14 0.0019 37.1417 27 SAFH 68 21 0 0.5 1.6E+02 16 0.0082 45.9361 28 SAFH 73 22 0 0.5 1.4E+02 14 0.034 41.3615 29 SAFH 75 23 0 0.5 1.4E+02 16 0.0028 44.6093 30 SAFJ 79 24 0 0.5 1.4E+02 0 7.8E-11 48.0147 31 SAFH 79 24 0 0.3 2E+02 18 0.041 36.1661 32 SAFG 86 25 0 0.3 5.6E+14 0 1.2E-14 36.9679 32 FOUND SOLUTION: 36.9679 (NLP) in 55 sec. 33 SAFH 86 25 0 0.3 5.6E+14 2 4.6E-06 36.9679 34 SAFH 87 26 0 0.3 1.6E+02 11 0.013 37.0738 35 SAFJ 91 27 0 0.3 1.7E+02 0 2.5E-07 39.1346 36 SAFJ 91 27 0 0.2 0 0 2.5E-07 39.1346 37 SAFJ 91 27 0 0.1 0 0 2.5E-07 39.1346 38 AFG 91 27 0 0 5.6E+14 0 1.8E-15 32.625 38 FOUND SOLUTION: 32.625 (NLP) in 357 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 91 27 0 0 5.6E+14 7 0.0057 32.606 40 AFH 95 28 0 0 90 8 5.4E-06 32.625 41 AFH 96 29 0 0 85 6 1.1E-06 32.625 42 AFH 97 30 0 0 85 4 1.1E-06 32.625 43 AFH 98 31 0 0 87 2 1.1E-06 32.625 44 AFJ 99 32 0 0 89 0 5.5E-07 32.625 44 FOUND SOLUTION: 32.625 in 1939 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.118_fo9_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 32.625000000000007105 Max constraint (8) : 1.7763568394002504647e-15 Alternative solution : MIP Alt. objective value : 32.624998738736408654 Max constraint (18) : 5.5152670164204664616e-07 Time used (seconds) : 1938.26 Time limit (seconds) : 7200 Iterations used : 44 Iteration limit : -1 Function evaluations : 2286 Gradient evaluations : 109 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 7/44 NLP solver calls : 45 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9_ar2_1.gms(1055) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9_ar2_1.gms Stop 09/14/12 15:39:56 elapsed 0:32:18.493 @04 1347629996 ----------------------------- Fr 14. Sep 15:39:56 CEST 2012 ----------------------------- =ready= Linux opt212 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9_ar25_1.gms =========== ----------------------------- Fr 14. Sep 15:07:54 CEST 2012 ----------------------------- @03 1347628074 --- Job fo9_ar25_1.gms Start 09/14/12 15:07:54 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9_ar25_1.gms(1055) 2 Mb --- Starting execution: elapsed 0:00:00.014 --- fo9_ar25_1.gms(1050) 3 Mb --- Generating MINLP model m --- fo9_ar25_1.gms(1055) 5 Mb --- 436 rows 181 columns 1,751 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9_ar25_1.gms(1055) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.022 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.119_fo9_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1751 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 5.3 NA 1 SAFH 10 1 0 1 5.6E+14 12 1.1 43.151 2 SAFH 13 2 0 1 1.2E+02 14 0.6 46.333 3 SAFH 23 3 0 1 1.8E+02 18 0.39 35.2556 4 SAFG 25 4 0 1 5.6E+14 0 4.8E-10 65.9094 4 FOUND SOLUTION: 65.9094 (NLP) in 2 sec. 5 SAFH 25 4 0 1 5.6E+14 18 0.18 64.1732 6 SAFH 27 5 0 1 2.3E+02 16 0.52 47.7537 7 SAFG 29 6 0 1 5.6E+14 0 5.5E-10 42.2051 7 FOUND SOLUTION: 42.2051 (NLP) in 4 sec. 8 SAFH 29 6 0 1 5.6E+14 18 0.1 41.5573 9 SAFH 33 7 0 1 1.6E+02 18 0.2 48.2575 10 SAFH 36 8 0 1 1.8E+02 16 0.074 78.8179 11 SAFG 40 9 0 1 5.6E+14 0 8.2E-10 41.3013 11 FOUND SOLUTION: 41.3013 (NLP) in 7 sec. 12 SAFH 40 9 0 1 5.6E+14 18 0.082 40.8527 13 SAFH 44 10 0 1 2E+02 18 0.11 56.3363 14 SAFH 46 11 0 1 1.9E+02 16 0.11 74.9995 15 SAFH 48 12 0 1 2.2E+02 18 0.12 45.0001 16 SAFH 51 13 0 1 1.7E+02 14 0.12 54.2687 17 SAFH 53 14 0 1 1.7E+02 18 0.035 42.721 18 SAFH 55 15 0 1 1.5E+02 18 0.034 57.1394 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 58 16 0 1 1.3E+02 16 0.15 66.2183 20 SAFH 60 17 0 1 1.7E+02 18 0.024 49.9001 21 SAFH 62 18 0 1 1.6E+02 18 0.1 53.5927 22 SAFG 64 19 0 1 5.6E+14 0 8.9E-16 34.7564 22 FOUND SOLUTION: 34.7564 (NLP) in 16 sec. 23 SAFH 64 19 0 1 5.6E+14 18 0.011 34.7119 24 SAFH 68 20 0 1 1.6E+02 18 0.042 71.6333 25 SAFH 70 21 0 1 1.5E+02 16 0.11 45.749 26 SAFH 72 22 0 1 1.9E+02 18 0.032 56.5123 27 SAFH 77 23 0 1 1.5E+02 18 0.05 50.322 28 SAFH 85 24 0 1 1.8E+02 16 0.091 45.0514 29 SAFH 87 25 0 1 1.8E+02 18 0.0055 60.7663 30 SAFH 92 26 0 1 2.1E+02 18 0.006 69.2282 31 SAFH 94 27 0 1 2E+02 18 0.03 59.494 32 SAFH 96 28 0 1 2.3E+02 18 0.028 57.7882 33 SAFH 99 29 0 1 1.6E+02 18 0.024 53.2091 34 SAFH 103 30 0 1 1.5E+02 18 0.017 41.1327 35 SAFH 106 31 0 1 1.8E+02 18 0.032 41.0867 36 SAFH 107 32 0 1 1.8E+02 18 0.0051 60.2071 37 SAFH 111 33 0 1 1.6E+02 16 0.0068 46.4187 38 SAFH 113 34 0 1 1.5E+02 16 0.026 44.1832 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 115 35 0 1 1.4E+02 18 0.019 54.7135 40 SAFH 119 36 0 1 2E+02 18 0.016 73.2156 41 SAFH 121 37 0 1 1.6E+02 16 0.0043 41.5143 42 SAFH 125 38 0 1 1.2E+02 14 0.0081 78.5016 43 SAFH 127 39 0 1 1.6E+02 16 0.072 55.1666 44 SAFH 129 40 0 1 87 18 0.021 56.6084 45 SAFH 135 41 0 1 1.8E+02 18 0.021 56.508 46 SAFH 137 42 0 1 1.6E+02 14 0.0035 44.2288 47 SAFH 145 43 0 1 1.1E+02 15 0.0048 44.4596 48 SAFH 149 44 0 1 1.7E+02 14 0.0051 68.2194 49 SAFH 151 45 0 1 1.5E+02 9 0.00077 44.2482 50 SAFH 152 46 0 1 0.0098 7 2.7E-05 44.2499 51 SAFH 153 47 0 1 1.8E+02 14 0.018 40.7088 52 SAFH 155 48 0 1 1.4E+02 12 0.0011 44.8469 53 SAFH 156 49 0 1 1.7E+02 18 0.025 73.5473 54 SAFH 159 50 0 1 2E+02 11 1.1E-05 44.25 55 SAFH 160 51 0 1 2E+02 12 0.0029 53.9339 56 SAFH 161 52 0 1 2.1E+02 14 0.0062 51.4065 57 SAFH 163 53 0 1 1.4E+02 11 0.0017 49.2487 58 SAFH 164 54 0 1 1.4E+02 16 0.0037 52.5584 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 166 55 0 1 2E+02 9 3.6E-05 46.7499 60 SAFH 167 56 0 1 1.8E+02 5 0.0034 66.1233 61 SAFH 169 57 0 1 2E+02 18 0.022 41.0153 62 SAFH 171 58 0 1 1.8E+02 9 4E-05 53.2472 63 SAFH 172 59 0 1 1.5E+02 18 0.014 58.0884 64 SAFH 174 60 0 1 2.1E+02 14 0.0042 51.8035 65 SAFH 176 61 0 1 2E+02 10 0.00082 46.0772 66 SAFH 177 62 0 1 1.3E+02 16 0.017 51.586 67 SAFH 179 63 0 1 1.9E+02 14 0.0012 51.8227 68 SAFH 180 64 0 1 1.8E+02 12 0.001 51.2674 69 SAFH 181 65 0 1 2E+02 10 0.00047 43.1077 70 SAFH 182 66 0 1 1.8E+02 9 1.1E-05 42.75 71 SAFH 183 67 0 1 1.9E+02 18 0.0078 66.9834 72 SAFH 186 68 0 1 2E+02 8 1.7E-05 50.2578 73 SAFH 187 69 0 1 1.1E+02 2 4.3E-06 160.453 74 SAFH 188 70 0 1 1.6E+02 5 2.5E-06 50.25 75 SAFJL 189 71 0 1 82 0 1.4E-07 50.25 76 SAFH 179 70 0 0.5 1.1E+02 3 2.3E-06 36.25 77 SAFH 180 71 0 0.5 1.7E+02 10 0.00047 36.8773 78 SAFH 181 72 0 0.5 1.6E+02 12 0.006 51.7248 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 183 73 0 0.5 1.7E+02 1 1.9E-06 36.25 80 SAFH 184 74 0 0.5 2.3E+02 17 0.016 40.6483 81 SAFH 187 75 0 0.5 2E+02 4 1.2E-05 34.9807 82 SAFH 188 76 0 0.5 1.3E+02 6 8.4E-05 34.8908 83 SAFH 189 77 0 0.5 1E+02 4 7.8E-05 34.9806 84 SAFJ 190 78 0 0.5 1.7E+02 0 3.2E-07 40.2497 85 SAFJ 190 78 0 0.3 1.5E+02 0 1.4E-07 36.25 86 SAFJ 190 78 0 0.2 0 0 1.4E-07 36.25 87 SAFG 190 78 0 0.1 5.6E+14 0 3.1E-11 32.25 87 FOUND SOLUTION: 32.25 (NLP) in 218 sec. 88 SAFJ 190 78 0 0.1 5.6E+14 0 1.4E-07 32.25 89 AFG 190 78 0 0 5.6E+14 0 2E-10 32.1864 89 FOUND SOLUTION: 32.1864 (NLP) in 484 sec. 90 AFH 190 78 0 0 5.6E+14 18 0.0041 32.1743 91 AFH 194 79 0 0 3.3 18 0.00092 32.1841 92 AFH 195 80 0 0 0.018 16 0.00044 32.1856 93 AFH 196 81 0 0 6 14 0.0001 32.186 94 AFH 197 82 0 0 5 12 0.0001 32.1861 95 AFH 198 83 0 0 6 10 6.1E-05 32.1863 96 AFH 199 84 0 0 5 8 5.4E-05 32.1863 97 AFH 200 85 0 0 7 6 3.5E-05 32.1864 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.119_fo9_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 32.186431047133460481 Max constraint (1) : 2.0459900440528144827e-10 Alternative solution : MIP Alt. objective value : 32.186431047133460481 Max constraint (1) : 2.0459900440528144827e-10 Time used (seconds) : 7202.09 Time limit (seconds) : 7200 Iterations used : 98 Iteration limit : -1 Function evaluations : 3114 Gradient evaluations : 211 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 10/98 NLP solver calls : 97 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9_ar25_1.gms(1055) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9_ar25_1.gms Stop 09/14/12 17:07:56 elapsed 2:00:02.216 @04 1347635276 ----------------------------- Fr 14. Sep 17:07:56 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9_ar3_1.gms =========== ----------------------------- Fr 14. Sep 15:13:08 CEST 2012 ----------------------------- @03 1347628388 --- Job fo9_ar3_1.gms Start 09/14/12 15:13:08 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9_ar3_1.gms(1055) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- fo9_ar3_1.gms(1050) 3 Mb --- Generating MINLP model m --- fo9_ar3_1.gms(1055) 5 Mb --- 436 rows 181 columns 1,751 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9_ar3_1.gms(1055) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.023 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.120_fo9_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1751 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 6.5 NA 1 SAFH 10 1 0 1 5.6E+14 18 1.5 42.9092 2 SAFH 16 2 0 1 1.9E+02 18 0.7 48.2242 3 SAFH 19 3 0 1 1.9E+02 18 0.39 41.9366 4 SAFH 24 4 0 1 1.6E+02 18 0.77 54.4652 5 SAFG 29 5 0 1 5.6E+14 0 8.9E-16 58.9088 5 FOUND SOLUTION: 58.9088 (NLP) in 1 sec. 6 SAFH 29 5 0 1 5.6E+14 18 0.41 58.0019 7 SAFG 31 6 0 1 5.6E+14 0 4E-10 56.6292 7 FOUND SOLUTION: 56.6292 (NLP) in 2 sec. 8 SAFH 31 6 0 1 5.6E+14 18 0.49 54.9425 9 SAFG 35 7 0 1 5.6E+14 0 8.9E-16 53.5812 9 FOUND SOLUTION: 53.5812 (NLP) in 2 sec. 10 SAFH 35 7 0 1 5.6E+14 18 0.29 51.8679 11 SAFH 37 8 0 1 1.8E+02 18 0.23 52.1708 12 SAFG 40 9 0 1 5.6E+14 0 8.9E-16 51.2721 12 FOUND SOLUTION: 51.2721 (NLP) in 3 sec. 13 SAFH 40 9 0 1 5.6E+14 18 0.2 50.1192 14 SAFH 45 10 0 1 1.9E+02 18 0.17 53.8733 15 SAFH 49 11 0 1 1.8E+02 18 0.089 77.2948 16 SAFH 53 12 0 1 1.9E+02 18 0.14 56.9221 17 SAFH 55 13 0 1 1.3E+02 14 0.036 60.4969 18 SAFH 56 14 0 1 1.6E+02 18 0.065 64.9786 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 62 15 0 1 1.5E+02 18 0.051 54.4069 20 SAFH 65 16 0 1 1.6E+02 14 0.015 48.6053 21 SAFH 68 17 0 1 1.8E+02 16 0.09 55.4434 22 SAFH 71 18 0 1 1.6E+02 18 0.015 56.2771 23 SAFG 78 19 0 1 5.6E+14 0 1.8E-15 47.2916 23 FOUND SOLUTION: 47.2916 (NLP) in 12 sec. 24 SAFH 78 19 0 1 5.6E+14 18 0.031 47.2191 25 SAFH 80 20 0 1 1.6E+02 16 0.012 48.6716 26 SAFH 84 21 0 1 1.2E+02 16 0.047 47.7485 27 SAFH 87 22 0 1 1.3E+02 16 0.0035 51.4146 28 SAFH 90 23 0 1 1.4E+02 12 0.012 49.0634 29 SAFH 92 24 0 1 1.6E+02 18 0.034 61.3397 30 SAFH 96 25 0 1 1.6E+02 18 0.0036 49.111 31 SAFH 99 26 0 1 1.6E+02 18 0.036 51.4175 32 SAFH 103 27 0 1 1.9E+02 16 0.039 63.8465 33 SAFH 106 28 0 1 1.6E+02 18 0.044 56.3678 34 SAFH 110 29 0 1 1.7E+02 18 0.054 60.3883 35 SAFH 112 30 0 1 1.7E+02 14 0.011 56.6534 36 SAFG 119 31 0 1 5.6E+14 0 4.4E-16 46.871 36 FOUND SOLUTION: 46.871 (NLP) in 18 sec. 37 SAFH 119 31 0 1 5.6E+14 18 0.033 46.7346 38 SAFH 123 32 0 1 1.4E+02 13 0.0001 50.8955 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 124 33 0 1 1.9E+02 18 0.021 68.9043 40 SAFG 127 34 0 1 5.6E+14 0 9.3E-10 45.639 40 FOUND SOLUTION: 45.639 (NLP) in 22 sec. 41 SAFH 127 34 0 1 5.6E+14 18 0.028 45.5117 42 SAFH 128 35 0 1 0.3 18 0.013 45.5837 43 SAFH 130 36 0 1 77 12 0.0048 56.8092 44 SAFH 134 37 0 1 77 16 0.0038 45.6135 45 SAFH 141 38 0 1 1E+02 8 0.027 40.8246 46 SAFH 142 39 0 1 1.3E+02 16 0.012 49.5668 47 SAFG 144 40 0 1 5.6E+14 0 0 45.625 47 FOUND SOLUTION: 45.625 (NLP) in 28 sec. 48 SAFH 144 40 0 1 5.6E+14 18 0.018 45.5362 49 SAFH 149 41 0 1 1.8E+02 5 0.0013 45.6372 50 SAFH 150 42 0 1 63 16 0.013 47.6757 51 SAFG 153 43 0 1 5.6E+14 0 1.8E-15 40.3913 51 FOUND SOLUTION: 40.3913 (NLP) in 31 sec. 52 SAFH 153 43 0 1 5.6E+14 14 0.031 40.2899 53 SAFH 155 44 0 1 1.3E+02 18 0.0024 56.7227 54 SAFH 158 45 0 1 1.4E+02 18 0.013 48.9236 55 SAFH 161 46 0 1 1.5E+02 18 0.023 55.5504 56 SAFH 164 47 0 1 1.6E+02 18 0.0044 43.8501 57 SAFH 167 48 0 1 1.4E+02 16 0.00059 59.083 58 SAFH 168 49 0 1 2E+02 18 0.024 58.406 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 170 50 0 1 1.9E+02 18 0.0037 51.4845 60 SAFH 173 51 0 1 1.8E+02 14 0.0096 55.5158 61 SAFH 177 52 0 1 1.3E+02 18 0.024 43.4468 62 SAFH 180 53 0 1 1.1E+02 18 0.014 51.0993 63 SAFH 184 54 0 1 1.3E+02 16 0.02 55.2949 64 SAFH 185 55 0 1 1.7E+02 14 0.0045 47.4005 65 SAFH 187 56 0 1 1.7E+02 18 0.024 47.6409 66 SAFH 189 57 0 1 1.4E+02 18 0.0037 56.0432 67 SAFH 193 58 0 1 91 14 0.0015 55.5449 68 SAFH 195 59 0 1 1.5E+02 12 0.0016 47.8723 69 SAFH 196 60 0 1 1.3E+02 11 0.0017 46.6835 70 SAFH 199 61 0 1 1.5E+02 15 0.0027 49.6379 71 SAFH 203 62 0 1 2.3E+02 12 0.0048 45.9346 72 SAFH 207 63 0 1 1.8E+02 16 0.00097 51.15 73 SAFH 208 64 0 1 1.2E+02 18 0.053 53.7616 74 SAFH 210 65 0 1 1.4E+02 18 0.0039 46.0458 75 SAFH 213 66 0 1 1.6E+02 17 0.0034 54.2344 76 SAFH 219 67 0 1 1.9E+02 18 0.0024 69.7875 77 SAFH 223 68 0 1 1.7E+02 13 0.00059 49.66 78 SAFH 224 69 0 1 1.9E+02 18 0.0024 55.7699 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 228 70 0 1 1.7E+02 16 0.0021 48.4483 80 SAFH 233 71 0 1 1.2E+02 10 0.00082 47.7476 81 SAFH 234 72 0 1 1.7E+02 18 0.019 64.5708 82 SAFH 236 73 0 1 1.8E+02 13 0.0032 48.9386 83 SAFG 238 74 0 1 5.6E+14 0 8.9E-16 40.25 83 FOUND SOLUTION: 40.25 (NLP) in 68 sec. 84 SAFH 238 74 0 1 5.6E+14 8 0.00017 40.2497 85 SAFH 239 75 0 1 1.5E+02 11 7E-05 51.7016 86 SAFH 240 76 0 1 1.1E+02 18 0.012 52.1328 87 SAFH 244 77 0 1 1.9E+02 16 0.0024 57.129 88 SAFH 247 78 0 1 1.9E+02 18 0.0031 66.0938 89 SAFH 253 79 0 1 1.8E+02 14 0.0015 66.6988 90 SAFH 255 80 0 1 1.8E+02 16 0.00057 55.5964 91 SAFH 256 81 0 1 2E+02 18 0.007 56.1357 92 SAFH 262 82 0 1 1.8E+02 16 0.015 57.161 93 SAFH 263 83 0 1 1.6E+02 14 0.00032 49.2395 94 SAFH 264 84 0 1 1.2E+02 17 0.0074 60.1234 95 SAFH 266 85 0 1 2.2E+02 18 0.0037 57.2744 96 SAFH 270 86 0 1 1.9E+02 18 0.0065 60.6609 97 SAFG 273 87 0 1 5.6E+14 0 3.6E-15 36.2178 97 FOUND SOLUTION: 36.2178 (NLP) in 84 sec. 98 SAFH 273 87 0 1 5.6E+14 16 0.034 36.1848 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 274 88 0 1 1.4E+02 18 0.0055 49.0611 100 SAFH 278 89 0 1 1.3E+02 16 0.0043 51.4706 101 SAFH 280 90 0 1 1.5E+02 15 0.00019 47.8901 102 SAFH 281 91 0 1 2E+02 13 0.0003 78.1633 103 SAFH 282 92 0 1 1.9E+02 13 5.7E-05 47.7113 104 SAFH 283 93 0 1 1.7E+02 18 0.012 49.6247 105 SAFH 284 94 0 1 1.2E+02 6 0.00059 49.2488 106 SAFH 285 95 0 1 1.1E+02 4 8.9E-06 53.25 107 SAFH 286 96 0 1 1.6E+02 18 0.015 52.8414 108 SAFH 287 97 0 1 1.8E+02 18 0.019 53.6873 109 SAFH 289 98 0 1 2.2E+02 13 0.0022 60.743 110 SAFH 291 99 0 1 2.1E+02 12 0.0056 55.2752 111 SAFH 295 100 0 1 1.7E+02 18 0.0066 63.6748 112 SAFH 297 101 0 1 2E+02 18 0.0081 43.0031 113 SAFH 298 102 0 1 1.7E+02 18 0.0046 73.6399 114 SAFH 304 103 0 1 2E+02 16 0.0043 47.5528 115 SAFH 306 104 0 1 2.3E+02 9 4E-05 39.7577 116 SAFH 307 105 0 1 8.6E-05 7 2.2E-05 39.7577 117 SAFH 308 106 0 1 0.00017 5 2.2E-05 39.7577 118 SAFH 309 107 0 1 2.1E+02 14 0.0021 51.6694 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 312 108 0 1 75 12 0.0014 49.4897 120 SAFH 313 109 0 1 0.013 10 0.00065 49.4925 121 SAFH 314 110 0 1 1.3E+02 18 0.0089 54.4676 122 SAFH 315 111 0 1 2.2E+02 15 0.00024 49.5399 123 SAFH 316 112 0 1 1.9E+02 18 0.0039 70.7946 124 SAFH 318 113 0 1 1.4E+02 16 0.003 59.2236 125 SAFH 320 114 0 1 1.7E+02 17 0.0031 60.4192 126 SAFH 325 115 0 1 1.7E+02 18 0.0072 58.6442 127 SAFH 328 116 0 1 1.5E+02 16 0.011 50.033 128 SAFH 329 117 0 1 1.6E+02 9 0.0042 62.4856 129 SAFH 331 118 0 1 1.5E+02 8 0.0029 49.6496 130 SAFH 334 119 0 1 1.4E+02 18 0.00033 40.2656 131 SAFH 335 120 0 1 1.3E+02 18 0.0018 51.2957 132 SAFH 341 121 0 1 2E+02 18 0.0014 52.1113 133 SAFH 344 122 0 1 1.7E+02 15 0.0087 39.77 134 SAFH 345 123 0 1 1.5E+02 18 0.0079 45.2139 135 SAFH 352 124 0 1 1.7E+02 10 0.00012 36.6248 136 SAFH 353 125 0 1 1.8E+02 15 0.0011 59.1619 137 SAFH 354 126 0 1 1.8E+02 16 0.0031 63.9722 138 SAFH 357 127 0 1 2.2E+02 18 0.0019 50.5345 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 360 128 0 1 1.7E+02 16 0.0024 45.604 140 SAFH 364 129 0 1 1.8E+02 9 0.00095 40.7359 141 SAFH 365 130 0 1 1.5E+02 14 0.00061 36.8952 142 SAFH 366 131 0 1 0.0066 12 0.00052 36.8963 143 SAFH 367 132 0 1 1.6E+02 14 0.0044 37.0094 144 SAFH 369 133 0 1 1.8E+02 8 0.00019 48.4481 145 SAFH 370 134 0 1 2.1E+02 14 0.00088 47.4573 146 SAFH 371 135 0 1 1.4E+02 18 0.0059 55.8475 147 SAFH 373 136 0 1 2E+02 18 0.0042 44.4673 148 SAFH 375 137 0 1 1.5E+02 12 0.0011 46.1988 149 SAFH 376 138 0 1 1.4E+02 18 0.0023 53.0306 150 SAFH 379 139 0 1 1.9E+02 10 0.0018 50.6495 151 SAFH 380 140 0 1 1.6E+02 15 0.0011 55.8658 152 SAFH 383 141 0 1 1.8E+02 12 5E-05 47.1403 153 SAFH 384 142 0 1 1.5E+02 11 0.00015 62.7089 154 SAFH 385 143 0 1 1.8E+02 14 0.0012 57.4571 155 SAFH 386 144 0 1 1.9E+02 12 0.0036 60.1901 156 SAFH 387 145 0 1 1.6E+02 18 0.0039 46.3722 157 SAFH 390 146 0 1 1.7E+02 11 0.0064 45.0585 158 SAFH 392 147 0 1 1.6E+02 12 0.00071 60.0904 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 393 148 0 1 1.7E+02 18 0.0015 60.1643 160 SAFH 396 149 0 1 1.7E+02 8 0.0042 43.3298 161 SAFH 397 150 0 1 1.9E+02 18 0.0023 58.1393 162 SAFH 399 151 0 1 1.2E+02 6 0.0057 41.5098 163 SAFH 401 152 0 1 1.9E+02 10 0.00065 64.1178 164 SAFH 402 153 0 1 1.6E+02 14 0.0011 58.1446 165 SAFH 404 154 0 1 1.7E+02 18 0.0039 46.3123 166 SAFH 408 155 0 1 1.7E+02 10 0.00095 58.1478 167 SAFH 409 156 0 1 1.5E+02 12 5E-05 37.2001 168 SAFH 410 157 0 1 1.5E+02 8 0.00065 58.1499 169 SAFH 411 158 0 1 0.0074 6 8E-05 58.1509 170 SAFH 412 159 0 1 1E+02 18 0.0036 55.4357 171 SAFH 416 160 0 1 1.7E+02 18 0.0029 58.4568 172 SAFH 417 161 0 1 1.4E+02 8 0.0028 54.9749 173 SAFH 418 162 0 1 1.4E+02 16 0.00023 59.2427 174 SAFH 419 163 0 1 1.4E+02 6 1.9E-05 54.9805 175 SAFH 420 164 0 1 1.7E+02 18 0.0057 64.9688 176 SAFH 422 165 0 1 1.6E+02 15 0.0015 58.0611 177 SAFH 423 166 0 1 1.6E+02 16 0.0059 55.2951 178 SAFH 424 167 0 1 1.5E+02 14 0.0018 60.7081 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 427 168 0 1 1.8E+02 15 0.0011 75.6919 180 SAFH 428 169 0 1 1.3E+02 16 0.0029 69.5249 181 SAFH 429 170 0 1 1.5E+02 8 0.0061 49.9554 182 SAFH 430 171 0 1 1.6E+02 12 3E-05 50.2421 183 SAFH 431 172 0 1 1.8E+02 16 0.00063 54.2909 184 SAFH 432 173 0 1 1.8E+02 10 2.3E-05 46.0885 185 SAFH 433 174 0 1 1.5E+02 16 0.0035 56.8026 186 SAFH 434 175 0 1 1.9E+02 12 3E-05 56.064 187 SAFH 435 176 0 1 1.3E+02 12 0.001 61.384 188 SAFH 436 177 0 1 2E+02 6 8.2E-06 68.375 189 SAFH 437 178 0 1 2.1E+02 12 0.00086 61.1921 190 SAFH 438 179 0 1 2.2E+02 16 0.0011 58.4459 191 SAFH 439 180 0 1 1.5E+02 8 1.5E-05 46.0885 192 SAFH 440 181 0 1 1.6E+02 15 0.0004 70.6392 193 SAFH 441 182 0 1 1.6E+02 4 1.1E-05 47.25 194 SAFH 442 183 0 1 1.6E+02 10 0.0018 46.8274 195 SAFH 443 184 0 1 2.1E+02 9 0.00053 56.4317 196 SAFH 444 185 0 1 1.6E+02 6 1.3E-05 46.0886 197 SAFH 445 186 0 1 1.5E+02 12 0.00066 49.766 198 SAFH 446 187 0 1 1.6E+02 4 4.3E-06 50.2424 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 447 188 0 1 1.7E+02 6 0.0034 62.0752 200 SAFH 448 189 0 1 1.4E+02 18 0.034 52.1314 201 SAFG 449 190 0 0.5 5.6E+14 0 1.4E-10 35.1603 201 FOUND SOLUTION: 35.1603 (NLP) in 255 sec. 202 SAFH 449 190 0 0.5 5.6E+14 5 2.3E-05 35.1602 203 SAFH 450 191 0 0.5 1.8E+02 8 0.00017 41.1665 204 SAFH 451 192 0 0.5 1.2E+02 3 2E-05 41.6805 205 SAFH 452 193 0 0.5 1.1E+02 18 0.00075 39.5905 206 SAFH 453 194 0 0.5 2E+02 3 4.8E-06 39.1346 207 SAFH 454 195 0 0.5 2E+02 4 8.2E-06 41.125 208 SAFG 455 196 0 0.5 5.6E+14 0 8.9E-16 34.9808 208 FOUND SOLUTION: 34.9808 (NLP) in 333 sec. 209 SAFH 455 196 0 0.5 5.6E+14 1 1.7E-06 34.9808 210 SAFG 456 197 0 0.5 5.6E+14 0 2.2E-10 34.7321 210 FOUND SOLUTION: 34.7321 (NLP) in 359 sec. 211 SAFH 456 197 0 0.5 5.6E+14 14 0.00075 34.7283 212 SAFH 457 198 0 0.5 2E+02 1 1E-06 35.077 213 SAFJL 458 199 0 0.5 8.8E-06 0 5.6E-07 35.077 214 SAFJ 448 198 0 0.3 18 0 5.6E-07 35.077 215 SAFJ 448 198 0 0.2 0 0 5.6E-07 35.077 216 SAFJ 448 198 0 0.1 0 0 5.6E-07 35.077 217 AFG 448 198 0 0 5.6E+14 0 1.5E-10 24.8155 217 FOUND SOLUTION: 24.8155 (NLP) in 482 sec. 218 AFH 448 198 0 0 5.6E+14 12 0.00074 24.8132 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 AFH 449 199 0 0 4 10 0.00074 24.8139 220 AFH 450 200 0 0 70 8 0.00054 24.8146 221 AFH 451 201 0 0 3 6 0.00054 24.8149 222 AFH 452 202 0 0 71 4 0.00054 24.8151 223 AFH 453 203 0 0 5 2 0.00054 24.8153 224 AFJ 454 204 0 0 0.0026 0 6.7E-07 24.8155 224 FOUND SOLUTION: 24.8155 in 1034 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.120_fo9_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 24.81547619063452359 Max constraint (18) : 1.522293402445029642e-10 Alternative solution : MIP Alt. objective value : 24.815474573113000645 Max constraint (8) : 6.6636826279165006781e-07 Time used (seconds) : 1033.35 Time limit (seconds) : 7200 Iterations used : 224 Iteration limit : -1 Function evaluations : 5814 Gradient evaluations : 464 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 8/224 NLP solver calls : 225 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9_ar3_1.gms(1055) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9_ar3_1.gms Stop 09/14/12 15:30:22 elapsed 0:17:13.546 @04 1347629422 ----------------------------- Fr 14. Sep 15:30:22 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9_ar4_1.gms =========== ----------------------------- Fr 14. Sep 15:15:32 CEST 2012 ----------------------------- @03 1347628532 --- Job fo9_ar4_1.gms Start 09/14/12 15:15:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9_ar4_1.gms(1055) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- fo9_ar4_1.gms(1050) 3 Mb --- Generating MINLP model m --- fo9_ar4_1.gms(1055) 5 Mb --- 436 rows 181 columns 1,751 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9_ar4_1.gms(1055) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.021 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.121_fo9_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1751 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 8.5 NA 1 SAFH 10 1 0 1 5.6E+14 18 2.4 44.2913 2 SAFH 26 2 0 1 1.6E+02 16 0.46 43.5342 3 SAFH 27 3 0 1 1.3E+02 18 0.23 55.5422 4 SAFG 29 4 0 1 5.6E+14 0 8.9E-16 29.3393 4 FOUND SOLUTION: 29.3393 (NLP) in 3 sec. 5 SAFH 29 4 0 1 5.6E+14 18 0.24 28.6224 6 SAFH 31 5 0 1 1.5E+02 18 0.21 42.5833 7 SAFH 32 6 0 1 1.7E+02 18 0.62 55.0908 8 SAFH 34 7 0 1 1.9E+02 18 0.72 66.0262 9 SAFH 36 8 0 1 1.8E+02 18 0.25 49.4404 10 SAFH 38 9 0 1 1.7E+02 18 0.17 52.9463 11 SAFH 41 10 0 1 1.6E+02 18 0.14 48.9704 12 SAFH 52 11 0 1 2.3E+02 18 0.048 58.0663 13 SAFH 55 12 0 1 1.9E+02 16 0.13 67.046 14 SAFH 58 13 0 1 1.8E+02 18 0.13 52.1215 15 SAFH 62 14 0 1 1.5E+02 18 0.2 50.7494 16 SAFH 63 15 0 1 1.5 18 0.062 51.0869 17 SAFH 67 16 0 1 1.3E+02 18 0.019 44.2053 18 SAFH 73 17 0 1 1.3E+02 18 0.17 61.0992 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 74 18 0 1 1.4E+02 18 0.29 44.4153 20 SAFH 75 19 0 1 1.3E+02 18 0.076 60.1792 21 SAFH 77 20 0 1 1.7E+02 18 0.091 45.9075 22 SAFH 80 21 0 1 1.2E+02 18 0.044 46.0481 23 SAFH 83 22 0 1 0.63 18 0.014 46.2013 24 SAFH 87 23 0 1 1.6E+02 16 0.022 45.1261 25 SAFH 88 24 0 1 1.5E+02 18 0.11 53.957 26 SAFH 89 25 0 1 2E+02 18 0.013 49.586 27 SAFH 93 26 0 1 2E+02 14 0.1 28.564 28 SAFH 97 27 0 1 2.2E+02 18 0.03 53.8197 29 SAFH 101 28 0 1 1.9E+02 18 0.14 52.7914 30 SAFH 105 29 0 1 2E+02 18 0.086 47.4821 31 SAFH 106 30 0 1 2.1E+02 14 0.016 58.8313 32 SAFH 112 31 0 1 2.2E+02 18 0.063 53.7242 33 SAFH 114 32 0 1 51 18 0.017 55.4752 34 SAFH 123 33 0 1 1.7E+02 14 0.031 54.0316 35 SAFH 126 34 0 1 1.4E+02 18 0.033 53.9002 36 SAFH 128 35 0 1 1.3E+02 18 0.027 57.2398 37 SAFH 133 36 0 1 1.7E+02 18 0.037 61.2061 38 SAFH 137 37 0 1 1.7E+02 14 0.021 38.1441 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 141 38 0 1 2E+02 18 0.021 45.1625 40 SAFH 144 39 0 1 1.6E+02 18 0.018 60.2613 41 SAFH 148 40 0 1 2.3E+02 16 0.0038 37.9088 42 SAFH 150 41 0 1 2E+02 18 0.024 39.9026 43 SAFH 154 42 0 1 1.7E+02 16 0.0064 58.4991 44 SAFH 156 43 0 1 1.5E+02 18 0.02 36.7692 45 SAFH 157 44 0 1 2E+02 18 0.027 63.2508 46 SAFH 161 45 0 1 1.4E+02 18 0.017 71.7398 47 SAFH 163 46 0 1 1.6E+02 18 0.038 57.8024 48 SAFH 166 47 0 1 69 18 0.022 44.0791 49 SAFH 169 48 0 1 1.6E+02 18 0.0072 48.9065 50 SAFH 175 49 0 1 2.1E+02 16 0.022 50.8906 51 SAFH 177 50 0 1 2E+02 18 0.015 49.316 52 SAFH 179 51 0 1 2.2E+02 18 0.00086 48.9456 53 SAFH 180 52 0 1 1.7E+02 14 0.0096 58.1398 54 SAFH 182 53 0 1 2.1E+02 18 0.02 93.15 55 SAFH 184 54 0 1 2E+02 18 0.042 90.9975 56 SAFH 187 55 0 1 2E+02 18 0.013 42.5801 57 SAFH 189 56 0 1 1.9E+02 14 0.00083 43.2474 58 SAFH 190 57 0 1 2.2E+02 18 0.032 49.2632 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 192 58 0 1 1.5E+02 16 0.0046 59.6654 60 SAFH 195 59 0 1 86 16 0.0017 64.8904 61 SAFH 203 60 0 1 1.8E+02 18 0.0094 65.5031 62 SAFH 207 61 0 1 1.8E+02 18 0.0038 49.7538 63 SAFH 210 62 0 1 1.7E+02 18 0.015 66.9936 64 SAFH 212 63 0 1 1.6E+02 18 0.0037 43.3448 65 SAFH 222 64 0 1 1.3E+02 18 0.0079 51.8887 66 SAFH 224 65 0 1 1.6E+02 18 0.012 44.003 67 SAFH 225 66 0 1 1.5E+02 14 0.0013 56.5894 68 SAFH 229 67 0 1 1.7E+02 14 0.0019 37.9146 69 SAFH 230 68 0 1 2.5E+02 18 0.0052 74.9462 70 SAFH 235 69 0 1 2.1E+02 14 0.0016 47.3998 71 SAFH 237 70 0 1 0.011 10 0.00087 47.4047 72 SAFH 238 71 0 1 78 18 0.0064 58.3134 73 SAFH 241 72 0 1 1.7E+02 18 0.0085 50.77 74 SAFH 243 73 0 1 1.5E+02 10 0.0002 36.3926 75 SAFH 244 74 0 1 1.3E+02 18 0.008 48.5707 76 SAFH 246 75 0 1 1.3E+02 14 0.0014 34.8885 77 SAFH 248 76 0 1 2.2E+02 18 0.074 72.7086 78 SAFH 249 77 0 1 2.3E+02 18 0.012 41.2805 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 251 78 0 1 1.6E+02 18 0.012 61.8224 80 SAFH 255 79 0 1 1.7E+02 18 0.011 51.6243 81 SAFH 257 80 0 1 1.5E+02 18 0.026 46.5526 82 SAFH 259 81 0 1 1.6E+02 16 0.0037 52.5884 83 SAFH 260 82 0 1 1.7E+02 14 0.0002 52.0571 84 SAFH 261 83 0 1 1.9E+02 18 0.007 53.3263 85 SAFH 263 84 0 1 1.7E+02 18 0.0079 62.3957 86 SAFH 265 85 0 1 0.039 16 0.0032 62.4153 87 SAFH 268 86 0 1 1.7E+02 16 0.0067 55.0797 88 SAFH 270 87 0 1 2E+02 6 7.7E-05 49.5033 89 SAFH 271 88 0 1 1.7E+02 18 0.0072 59.856 90 SAFH 273 89 0 1 2.1E+02 9 0.0063 53.3387 91 SAFH 274 90 0 1 2.2E+02 18 0.015 44.3494 92 SAFH 276 91 0 1 1.7E+02 18 0.01 46.1877 93 SAFH 279 92 0 1 1.4E+02 10 0.0048 57.7039 94 SAFH 281 93 0 1 0.076 6 0.00044 57.7253 95 SAFH 282 94 0 1 1.2E+02 14 0.0025 55.465 96 SAFH 286 95 0 1 2.2E+02 12 0.0011 54.457 97 SAFH 287 96 0 1 2.2E+02 6 0.0002 60.4949 98 SAFH 288 97 0 1 1.2E+02 14 0.0022 64.99 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 291 98 0 1 99 5 1.4E-05 57.7263 100 SAFH 292 99 0 1 1.8E+02 18 0.021 71.8591 101 SAFH 293 100 0 1 2.1E+02 18 0.0032 69.5398 102 SAFH 296 101 0 1 1.9E+02 8 0.00064 51.3357 103 SAFH 297 102 0 1 1.5E+02 18 0.014 57.9512 104 SAFH 299 103 0 1 0.086 17 0.0036 57.9784 105 SAFH 302 104 0 1 1.7E+02 18 0.0084 41.0219 106 SAFH 303 105 0 1 1.7E+02 14 0.0011 57.9946 107 SAFH 306 106 0 1 1.5E+02 16 0.0053 45.1293 108 SAFH 309 107 0 1 1.5E+02 10 0.00047 58.0039 109 SAFH 310 108 0 1 1.6E+02 16 0.0019 38.5318 110 SAFH 312 109 0 1 1.6E+02 8 9.1E-06 58.0045 111 SAFH 313 110 0 1 1.3E+02 18 0.0022 47.9858 112 SAFH 319 111 0 1 1.3E+02 6 8.4E-06 58.0045 113 SAFH 320 112 0 1 0.0001 4 6.9E-06 58.0045 114 SAFH 321 113 0 1 1.3E+02 14 0.0032 59.9533 115 SAFH 325 114 0 1 1.3E+02 2 3.8E-06 58.0045 116 SAFJL 326 115 0 1 1.9E-05 0 2.4E-07 58.0045 117 SAFH 316 114 0 0.5 1.8E+02 10 0.00094 31.8424 118 SAFH 317 115 0 0.5 1.3E+02 3 2E-06 52.2853 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 318 116 0 0.5 1.9E+02 12 5.6E-05 39.4684 120 SAFH 319 117 0 0.5 1.6E+02 3 1.8E-05 42.3368 121 SAFH 320 118 0 0.5 1.3E+02 1 1.2E-06 38.71 122 SAFH 321 119 0 0.5 1.8E+02 12 0.00023 38.2491 123 SAFH 322 120 0 0.5 1.4E+02 6 0.00044 29.7607 124 SAFH 323 121 0 0.5 1.7E+02 8 0.00024 36.3745 125 SAFH 324 122 0 0.5 1.5E+02 4 0.00023 35.0762 126 SAFH 325 123 0 0.5 2E+02 16 0.0029 49.8924 127 SAFH 328 124 0 0.5 1.4E+02 4 0.00025 28.1225 128 SAFJ 329 125 0 0.5 53 0 1.1E-07 28.8368 128 FOUND SOLUTION: 28.8368 in 226 sec. 129 SAFJ 329 125 0 0.3 0 0 1.1E-07 28.8368 130 SAFJ 329 125 0 0.2 0 0 1.1E-07 28.8368 131 SAFJ 329 125 0 0.1 0 0 1.1E-07 28.8368 132 AFG 329 125 0 0 5.6E+14 0 0 23.4643 132 FOUND SOLUTION: 23.4643 (NLP) in 498 sec. 133 AFH 329 125 0 0 5.6E+14 16 0.0025 23.4609 134 AFH 331 126 0 0 80 14 0.00011 23.4641 135 AFH 332 127 0 0 9 12 6.4E-05 23.4642 136 AFH 333 128 0 0 78 10 6.4E-05 23.4642 137 AFH 334 129 0 0 73 8 1.5E-05 23.4643 138 AFJ 335 130 0 0 73 0 2.5E-07 23.4643 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.121_fo9_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 23.464285714285711748 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 23.464285714285711748 Max constraint (1) : 0 Time used (seconds) : 1274.57 Time limit (seconds) : 7200 Iterations used : 138 Iteration limit : -1 Function evaluations : 3546 Gradient evaluations : 345 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 7/138 NLP solver calls : 139 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9_ar4_1.gms(1055) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9_ar4_1.gms Stop 09/14/12 15:36:47 elapsed 0:21:14.762 @04 1347629807 ----------------------------- Fr 14. Sep 15:36:47 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9_ar5_1.gms =========== ----------------------------- Fr 14. Sep 15:16:56 CEST 2012 ----------------------------- @03 1347628616 --- Job fo9_ar5_1.gms Start 09/14/12 15:16:56 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9_ar5_1.gms(1055) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- fo9_ar5_1.gms(1050) 3 Mb --- Generating MINLP model m --- fo9_ar5_1.gms(1055) 5 Mb --- 436 rows 181 columns 1,751 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9_ar5_1.gms(1055) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.022 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.122_fo9_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1751 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 9.4 NA 1 SAFH 18 1 0 1 5.6E+14 10 1.8 44.733 2 SAFH 20 2 0 1 1.4E+02 18 2.8 38.4325 3 SAFH 30 3 0 1 1.2E+02 18 2.1 42.0209 4 SAFH 32 4 0 1 1.8E+02 14 0.39 53.5501 5 SAFH 35 5 0 1 1.6E+02 18 0.81 50.9311 6 SAFH 37 6 0 1 1.2E+02 18 0.093 47.1586 7 SAFG 46 7 0 1 5.6E+14 0 8.9E-16 57.25 7 FOUND SOLUTION: 57.25 (NLP) in 2 sec. 8 SAFH 46 7 0 1 5.6E+14 18 0.75 55.1656 9 SAFH 48 8 0 1 1.8E+02 18 0.21 48.6127 10 SAFG 57 9 0 1 5.6E+14 0 0 38.1133 10 FOUND SOLUTION: 38.1133 (NLP) in 3 sec. 11 SAFH 57 9 0 1 5.6E+14 18 0.11 37.6656 12 SAFH 66 10 0 1 1.7E+02 16 0.37 49.5809 13 SAFH 68 11 0 1 1.5E+02 18 0.079 57.5959 14 SAFH 73 12 0 1 1.7E+02 18 0.12 38.3871 15 SAFH 77 13 0 1 1.3E+02 18 0.075 53.6523 16 SAFH 80 14 0 1 1.4E+02 18 0.35 48.391 17 SAFH 84 15 0 1 2.1E+02 18 0.078 41.827 18 SAFH 86 16 0 1 2.3E+02 18 0.43 42.6797 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 88 17 0 1 1.4E+02 18 0.23 58.2853 20 SAFH 89 18 0 1 1.2E+02 14 0.007 38.326 21 SAFH 97 19 0 1 43 10 0.0067 41.1115 22 SAFH 99 20 0 1 2.5E+02 18 0.083 67.2609 23 SAFH 101 21 0 1 2.1E+02 16 0.081 48.0455 24 SAFH 104 22 0 1 1.9E+02 18 0.031 69.2583 25 SAFH 109 23 0 1 2.2E+02 18 0.039 65.6031 26 SAFH 111 24 0 1 1.7E+02 18 0.057 52.6538 27 SAFH 113 25 0 1 1.5E+02 18 0.014 43.7189 28 SAFH 115 26 0 1 1.6E+02 18 0.042 46.7796 29 SAFH 120 27 0 1 2.1E+02 14 0.025 38.5993 30 SAFH 123 28 0 1 2E+02 16 0.028 53.4589 31 SAFG 129 29 0 1 5.6E+14 0 8.9E-16 33.717 31 FOUND SOLUTION: 33.717 (NLP) in 9 sec. 32 SAFH 129 29 0 1 5.6E+14 12 0.0067 33.7045 33 SAFH 131 30 0 1 1.8E+02 18 0.037 44.9077 34 SAFH 135 31 0 1 2.1E+02 18 0.082 44.0841 35 SAFH 137 32 0 1 1.4E+02 14 0.001 48.4081 36 SAFH 138 33 0 1 1.9E+02 18 0.025 48.1479 37 SAFH 140 34 0 1 2E+02 18 0.047 59.5547 38 SAFH 142 35 0 1 1.6E+02 18 0.03 44.5646 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 147 36 0 1 1.6E+02 17 0.17 50.6282 40 SAFH 148 37 0 1 1.4E+02 18 0.017 43.7353 41 SAFH 150 38 0 1 1.5E+02 18 0.021 63.0614 42 SAFH 152 39 0 1 1.6E+02 18 0.013 49.6923 43 SAFH 163 40 0 1 1.3E+02 18 0.016 51.527 44 SAFH 164 41 0 1 50 16 0.0011 54.865 45 SAFH 167 42 0 1 1.7E+02 17 0.021 45.3852 46 SAFH 168 43 0 1 86 16 0.036 48.7539 47 SAFH 169 44 0 1 1.6E+02 18 0.036 72.1639 48 SAFH 172 45 0 1 1.8E+02 18 0.0083 45.14 49 SAFH 175 46 0 1 2.1E+02 14 0.02 42.6516 50 SAFH 178 47 0 1 2.2E+02 18 0.048 60.0576 51 SAFH 180 48 0 1 1.2E+02 18 0.017 56.235 52 SAFH 182 49 0 1 2.2E+02 18 0.076 59.9291 53 SAFH 184 50 0 1 2E+02 18 0.02 72.8431 54 SAFH 186 51 0 1 2.4E+02 16 0.0072 38.5038 55 SAFH 192 52 0 1 2.4E+02 14 0.01 47.7009 56 SAFH 196 53 0 1 2.4E+02 18 0.044 70.7178 57 SAFH 197 54 0 1 1.7E+02 15 0.011 52.3842 58 SAFH 199 55 0 1 1.3E+02 17 0.0044 50.4897 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 202 56 0 1 1.6E+02 5 0.007 32.9487 60 SAFH 203 57 0 1 1.5E+02 18 0.018 43.0281 61 SAFH 205 58 0 1 2.2E+02 14 0.016 40.2995 62 SAFH 206 59 0 1 2E+02 18 0.007 44.1012 63 SAFH 210 60 0 1 2.2E+02 8 0.00046 55.8058 64 SAFH 211 61 0 1 25 6 0.0001 58.3074 65 SAFH 212 62 0 1 1.9E+02 18 0.0027 41.7668 66 SAFH 217 63 0 1 1.6E+02 10 0.021 47.46 67 SAFH 218 64 0 1 1E+02 12 0.021 60.6829 68 SAFH 220 65 0 1 2E+02 18 0.053 63.8885 69 SAFH 221 66 0 1 1.8E+02 12 0.011 41.7229 70 SAFH 223 67 0 1 1.7E+02 16 0.027 59.2859 71 SAFH 228 68 0 1 1.8E+02 18 0.011 47.0785 72 SAFH 230 69 0 1 1.9E+02 18 0.0055 51.8098 73 SAFH 235 70 0 1 1.4E+02 18 0.0043 68.8673 74 SAFH 240 71 0 1 1.7E+02 13 0.016 47.8084 75 SAFH 242 72 0 1 2E+02 14 0.0033 44.1658 76 SAFH 243 73 0 1 1.9E+02 16 0.016 45.0679 77 SAFH 246 74 0 1 2E+02 13 0.0022 40.3075 78 SAFH 252 75 0 1 1.3E+02 18 0.012 54.1417 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 255 76 0 1 1.2E+02 11 0.00018 47.8945 80 SAFH 256 77 0 1 0.0015 9 4.5E-05 47.8949 81 SAFH 257 78 0 1 0.00065 7 8.4E-06 47.8951 82 SAFH 258 79 0 1 6.2E-05 5 6.2E-06 47.8951 83 SAFH 259 80 0 1 9.2E-05 3 3.6E-06 47.8951 84 SAFH 260 81 0 1 8.9E-06 2 3.6E-06 47.8951 85 SAFH 261 82 0 1 8.9E-06 1 1E-06 47.8951 86 SAFJL 262 83 0 1 8.3E-06 0 4E-09 47.8951 87 SAFH 244 82 0 0.5 1.9E+02 14 0.00084 32.3054 88 SAFH 245 83 0 0.5 97 4 0.00016 49.8572 89 SAFH 246 84 0 0.5 1.2E+02 4 0.0003 36.9677 90 SAFH 247 85 0 0.5 1.8E+02 4 0.0005 31.1081 91 SAFH 248 86 0 0.5 1.6E+02 2 0.0044 33.5874 92 SAFH 250 87 0 0.5 77 10 0.002 40.5846 93 SAFH 251 88 0 0.5 1.9E+02 7 0.00015 33.2864 94 SAFH 252 89 0 0.5 1E+02 5 2.3E-05 35.4423 95 SAFH 253 90 0 0.5 1.4E+02 12 0.00074 34.9985 96 SAFH 254 91 0 0.5 65 10 0.00074 33.3838 97 SAFH 255 92 0 0.5 1.4E+02 2 2.7E-06 36.968 98 SAFH 256 93 0 0.5 1.3E+02 8 0.00075 27.9996 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 257 94 0 0.5 1.6E+02 8 0.00022 33.9068 100 SAFH 258 95 0 0.5 1.8E+02 14 0.0014 42.5043 101 SAFH 261 96 0 0.5 1.9E+02 14 0.0026 33.9935 102 SAFH 265 97 0 0.5 1.6E+02 16 0.0077 35.1716 103 SAFH 269 98 0 0.5 2.5E+02 14 0.0019 34.4916 104 SAFH 273 99 0 0.5 2.3E+02 10 0.0027 40.1673 105 SAFH 276 100 0 0.5 1.2E+02 10 0.0071 45.3704 106 SAFH 277 101 0 0.5 1.1E+02 15 0.011 29.7905 107 SAFH 279 102 0 0.5 1.5E+02 2 0.0003 36.3649 108 SAFH 280 103 0 0.5 1.1E+02 7 3.4E-06 39.4711 109 SAFH 281 104 0 0.5 1.6E+02 12 0.0054 44.014 110 SAFH 282 105 0 0.5 1.4E+02 14 0.0041 42.3595 111 SAFH 287 106 0 0.5 1.6E+02 10 8.9E-05 36.8199 112 SAFH 288 107 0 0.5 2.2E+02 5 0.00088 49.3183 113 SAFH 289 108 0 0.5 1.4E+02 12 0.0013 39.9878 114 SAFH 292 109 0 0.5 2.1E+02 14 0.00036 40.1416 115 SAFH 293 110 0 0.5 2.3E+02 14 3.5E-05 27.8876 116 SAFH 294 111 0 0.5 1.7E+02 12 0.018 43.0935 117 SAFG 295 112 0 0.5 5.6E+14 0 8.9E-16 28.1786 117 FOUND SOLUTION: 28.1786 (NLP) in 334 sec. 118 SAFH 295 112 0 0.5 5.6E+14 18 0.025 28.1493 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 298 113 0 0.5 1.7E+02 5 8.8E-05 34.6712 120 SAFH 299 114 0 0.5 1.9E+02 4 0.00074 29.6151 121 SAFH 300 115 0 0.5 1.7E+02 4 0.00076 48.2029 122 SAFH 301 116 0 0.5 1.7E+02 12 0.0035 38.2104 123 SAFH 303 117 0 0.5 1.7E+02 2 0.00012 43.7873 124 SAFH 304 118 0 0.5 1.1E+02 4 0.00092 39.5504 125 SAFH 305 119 0 0.5 2.7E+02 16 0.014 28.7854 126 SAFH 308 120 0 0.5 2.4E+02 13 0.00033 40.0184 127 SAFH 309 121 0 0.5 1.6E+02 10 0.0042 39.4287 128 SAFH 311 122 0 0.5 1.5E+02 2 8.9E-05 30.6924 129 SAFH 312 123 0 0.5 2.3E+02 16 0.0029 32.6726 130 SAFH 314 124 0 0.5 1.5E+02 6 0.00093 44.3414 131 SAFH 315 125 0 0.5 1.3E+02 4 0.00031 44.4684 132 SAFH 316 126 0 0.5 1.2E+02 8 0.0014 42.0465 133 SAFH 318 127 0 0.5 1.2E+02 8 0.012 29.2113 134 SAFH 320 128 0 0.5 2.2E+02 18 0.00099 34.7672 135 SAFH 321 129 0 0.5 1.9E+02 18 0.004 41.5635 136 SAFH 324 130 0 0.5 1.9E+02 12 0.0052 33.6196 137 SAFH 327 131 0 0.5 2.5E+02 12 0.0055 49.3712 138 SAFH 329 132 0 0.5 2.7E+02 6 0.0071 35.2418 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 331 133 0 0.5 2.7E+02 12 9.4E-06 31.7185 140 SAFH 332 134 0 0.5 2.1E+02 15 0.0095 31.049 141 SAFH 335 135 0 0.5 1.9E+02 14 0.0034 32.914 142 SAFH 341 136 0 0.5 1.8E+02 10 0.0085 35.7255 143 SAFH 345 137 0 0.5 2.3E+02 4 0.00038 35.0928 144 SAFH 346 138 0 0.5 2.2E+02 14 0.022 31.1256 145 SAFH 353 139 0 0.5 1.7E+02 16 0.0014 42.279 146 SAFH 354 140 0 0.5 2E+02 4 0.00058 32.2214 147 SAFH 355 141 0 0.5 2E+02 9 0.00033 29.8072 148 SAFH 356 142 0 0.5 1.4E+02 2 1.6E-05 32.9259 149 SAFH 357 143 0 0.5 2.3E+02 9 0.00096 31.9262 150 SAFH 358 144 0 0.5 1.2E+02 12 0.0045 46.4296 151 SAFH 361 145 0 0.5 1.8E+02 5 0.0006 47.2027 152 SAFH 362 146 0 0.5 2.1E+02 10 0.00051 31.0349 153 SAFH 363 147 0 0.5 1.5E+02 10 0.0025 63.7375 154 SAFH 365 148 0 0.5 2.2E+02 2 0.0001 35.6611 155 SAFH 366 149 0 0.5 1.5E+02 10 9.4E-06 31.7339 156 SAFH 367 150 0 0.5 2.3E+02 13 0.0035 28.1149 157 SAFH 368 151 0 0.5 2.2E+02 7 1.2E-05 30.9097 158 SAFH 369 152 0 0.5 2.1E+02 4 0.0016 36.1241 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 370 153 0 0.5 2E+02 8 9.4E-06 31.7339 160 SAFH 371 154 0 0.5 2.1E+02 3 0.00037 29.539 161 SAFH 372 155 0 0.5 2.1E+02 14 0.00019 28.8293 162 SAFH 373 156 0 0.5 1.3E+02 11 0.00093 33.785 163 SAFH 374 157 0 0.5 2.1E+02 10 0.028 35.1676 164 SAFH 375 158 0 0.5 1.2E+02 8 0.00029 47.7336 165 SAFH 376 159 0 0.5 1.6E+02 10 0.00011 34.2667 166 SAFH 377 160 0 0.5 1.9E+02 5 2.4E-06 43.8979 167 SAFH 378 161 0 0.5 2.1E+02 10 0.0014 34.6388 168 SAFH 382 162 0 0.5 2.1E+02 15 0.00027 31.0732 169 SAFH 383 163 0 0.5 2.5E+02 12 0.0017 32.7809 170 SAFH 386 164 0 0.5 99 6 2.1E-05 44.18 171 SAFH 387 165 0 0.5 1.7E+02 2 0.00031 42.7781 172 SAFH 388 166 0 0.5 1.9E+02 16 0.0089 29.673 173 SAFH 390 167 0 0.5 2E+02 12 0.0014 33.8772 174 SAFH 391 168 0 0.5 1.4E+02 15 0.018 36.4312 175 SAFH 393 169 0 0.5 1.4E+02 16 0.01 30.1749 176 SAFH 394 170 0 0.5 2.2E+02 13 0.0023 28.8329 177 SAFH 396 171 0 0.5 1.7E+02 13 0.0013 42.4716 178 SAFH 397 172 0 0.5 1.8E+02 4 5.7E-06 37.1185 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 398 173 0 0.5 1.7E+02 4 0.00018 35.0932 180 SAFH 399 174 0 0.5 1.5E+02 10 0.0033 30.634 181 SAFH 402 175 0 0.5 1.6E+02 14 3.8E-05 35.2499 182 SAFH 403 176 0 0.5 2.1E+02 4 3.9E-06 39.0416 183 SAFH 404 177 0 0.5 2.3E+02 11 0.00042 31.8431 184 SAFH 405 178 0 0.5 2.1E+02 8 0.00045 35.7011 185 SAFH 406 179 0 0.5 69 1 1E-06 38.6664 186 SAFH 407 180 0 0.5 2E+02 6 1.6E-05 36.5078 187 SAFH 408 181 0 0.5 1.9E+02 13 0.0031 40.708 188 SAFH 410 182 0 0.5 1.3E+02 6 0.00023 34.9929 189 SAFH 411 183 0 0.5 1.7E+02 10 0.00021 49.9469 190 SAFH 412 184 0 0.5 1.5E+02 2 1E-05 31.4305 191 SAFH 413 185 0 0.5 1.9E+02 13 0.0018 46.9489 192 SAFH 416 186 0 0.5 2E+02 1 1.4E-06 35.4632 193 SAFH 417 187 0 0.5 83 14 0.015 35.3829 194 SAFH 419 188 0 0.5 2E+02 2 0.00033 42.1218 195 SAFJ 420 189 0 0.5 1.5E+02 0 5.7E-08 41.0785 196 SAFJ 420 189 0 0.3 0 0 5.7E-08 41.0785 197 SAFG 420 189 0 0.2 5.6E+14 0 1.8E-15 24.0055 197 FOUND SOLUTION: 24.0055 (NLP) in 1466 sec. 198 SAFJ 420 189 0 0.2 5.6E+14 0 1.1E-07 24.0055 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFJ 420 189 0 0.1 0 0 1.1E-07 24.0055 200 AFG 420 189 0 0 5.6E+14 0 8.9E-16 23.4643 200 FOUND SOLUTION: 23.4643 (NLP) in 1692 sec. 201 AFH 420 189 0 0 5.6E+14 8 0.00034 23.4639 202 AFH 421 190 0 0 8 6 0.00034 23.4641 203 AFH 422 191 0 0 79 6 0.00034 23.4642 204 AFH 423 192 0 0 76 4 0.00012 23.4642 205 AFH 424 193 0 0 1 2 1E-06 23.4643 206 AFH 425 194 0 0 84 1 1E-06 23.4643 207 AFJ 426 195 0 0 7 0 6E-08 23.4643 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.122_fo9_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 23.464285714285718853 Max constraint (5) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 23.464285714285718853 Max constraint (5) : 8.8817841970012523234e-16 Time used (seconds) : 2653.24 Time limit (seconds) : 7200 Iterations used : 207 Iteration limit : -1 Function evaluations : 14814 Gradient evaluations : 444 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 8/207 NLP solver calls : 208 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9_ar5_1.gms(1055) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9_ar5_1.gms Stop 09/14/12 16:01:10 elapsed 0:44:13.366 @04 1347631270 ----------------------------- Fr 14. Sep 16:01:10 CEST 2012 ----------------------------- =ready= Linux opt203 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/fo9.gms =========== ----------------------------- Fr 14. Sep 15:23:34 CEST 2012 ----------------------------- @03 1347629014 --- Job fo9.gms Start 09/14/12 15:23:34 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- fo9.gms(794) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- fo9.gms(789) 3 Mb --- Generating MINLP model m --- fo9.gms(794) 5 Mb --- 344 rows 183 columns 1,441 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- fo9.gms(794) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.123_fo9._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1441 elements of which 1% are non-linear(NL) included in 344 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 183 variables: Continuous(111), Binary(72), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=46 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (333) infeasibile 0 H 0 0 0 1 0 18 8.5 NA 1 SAFH 10 1 0 1 5.6E+14 18 4.5 26.1938 2 SAFH 18 2 0 1 43 18 2 36.7069 3 SAFH 22 3 0 1 56 8 0.74 38.6231 4 SAFH 24 4 0 1 1.7E+02 16 1.5 50.7812 5 SAFG 37 5 0 1 5.6E+14 0 9.9E-11 61.8271 5 FOUND SOLUTION: 61.8271 (NLP) in 1 sec. 6 SAFH 37 5 0 1 5.6E+14 18 1.5 59.1807 7 SAFG 39 6 0 1 5.6E+14 0 3.5E-10 43.1369 7 FOUND SOLUTION: 43.1369 (NLP) in 1 sec. 8 SAFH 39 6 0 1 5.6E+14 16 0.23 42.366 9 SAFG 40 7 0 1 5.6E+14 0 5.9E-12 37.282 9 FOUND SOLUTION: 37.282 (NLP) in 2 sec. 10 SAFH 40 7 0 1 5.6E+14 18 0.27 35.133 11 SAFH 44 8 0 1 1.3E+02 14 0.1 65.1317 12 SAFH 49 9 0 1 1.2E+02 14 0.3 53.6223 13 SAFG 51 10 0 1 5.6E+14 0 4.1E-12 37.25 13 FOUND SOLUTION: 37.25 (NLP) in 3 sec. 14 SAFH 51 10 0 1 5.6E+14 10 0.022 37.2104 15 SAFH 55 11 0 1 2.4E+02 18 0.14 44.435 16 SAFH 63 12 0 1 2E+02 18 0.11 61.9504 17 SAFH 66 13 0 1 2.3E+02 18 0.23 70.3724 18 SAFH 69 14 0 1 2.2E+02 18 0.14 52.3874 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 71 15 0 1 1.9E+02 14 0.077 64.1726 20 SAFH 73 16 0 1 2.2E+02 18 0.08 64.3717 21 SAFH 76 17 0 1 2.3E+02 18 0.041 47.5314 22 SAFH 78 18 0 1 2.3E+02 16 0.067 40.9352 23 SAFG 83 19 0 1 5.6E+14 0 3.9E-10 29.9405 23 FOUND SOLUTION: 29.9405 (NLP) in 8 sec. 24 SAFH 83 19 0 1 5.6E+14 14 0.11 29.761 25 SAFH 85 20 0 1 1.8E+02 18 0.026 48.9678 26 SAFH 94 21 0 1 1.6E+02 18 0.25 47.7161 27 SAFH 95 22 0 1 2E+02 14 0.039 68.6945 28 SAFH 96 23 0 1 2E+02 18 0.17 66.386 29 SAFH 97 24 0 1 1.9E+02 18 0.052 86.8886 30 SAFH 102 25 0 1 2.1E+02 8 0.022 36.7464 31 SAFH 103 26 0 1 1.5E+02 14 0.047 53.2617 32 SAFH 105 27 0 1 1.9E+02 18 0.04 57.1981 33 SAFH 109 28 0 1 1.5E+02 18 0.088 73.3807 34 SAFH 110 29 0 1 1.8E+02 18 0.019 52.4798 35 SAFH 117 30 0 1 1.7E+02 18 0.13 51.9836 36 SAFH 119 31 0 1 1.8E+02 18 0.074 72.068 37 SAFH 122 32 0 1 2E+02 16 0.051 58.0107 38 SAFH 123 33 0 1 1.9E+02 18 0.031 65.8637 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 124 34 0 1 1.9E+02 18 0.032 52.5183 40 SAFH 125 35 0 1 1.9E+02 18 0.044 43.7468 41 SAFH 127 36 0 1 2.3E+02 18 0.016 50.4885 42 SAFH 131 37 0 1 1.6E+02 18 0.033 71.6396 43 SAFH 136 38 0 1 1.9E+02 12 0.045 52.1964 44 SAFH 138 39 0 1 1.7E+02 18 0.06 73.9518 45 SAFH 140 40 0 1 23 16 0.042 77.2254 46 SAFH 141 41 0 1 0.29 18 0.016 77.2993 47 SAFH 143 42 0 1 2E+02 18 0.028 57.0202 48 SAFH 149 43 0 1 2E+02 16 0.062 66.454 49 SAFH 152 44 0 1 1.8E+02 18 0.018 42.0351 50 SAFH 160 45 0 1 1.3E+02 12 0.0096 37.535 51 SAFH 165 46 0 1 1.1E+02 18 0.022 40.8031 52 SAFH 167 47 0 1 1.5E+02 14 0.0065 51.9573 53 SAFH 170 48 0 1 1.1E+02 18 0.0081 47.4321 54 SAFH 173 49 0 1 40 18 0.013 43.9801 55 SAFH 174 50 0 1 1.9E+02 18 0.031 67.4267 56 SAFH 176 51 0 1 1.7E+02 16 0.0042 41.2253 57 SAFH 178 52 0 1 2E+02 18 0.054 54.7315 58 SAFH 179 53 0 1 1.5E+02 18 0.011 66.616 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 186 54 0 1 1.9E+02 18 0.017 59.7996 60 SAFH 188 55 0 1 1.8E+02 16 0.048 39.9818 61 SAFH 189 56 0 1 1.4E+02 16 0.01 58.7285 62 SAFH 191 57 0 1 1.7E+02 18 0.014 47.3262 63 SAFH 193 58 0 1 2E+02 16 0.032 37.3149 64 SAFH 196 59 0 1 20 16 0.0098 32.4824 65 SAFH 197 60 0 1 0.055 16 0.0047 32.4911 66 SAFH 201 61 0 1 0.078 14 0.00031 32.5025 67 SAFH 202 62 0 1 0.0019 12 0.00024 32.5027 68 SAFH 203 63 0 1 1.7E+02 14 0.045 57.1546 69 SAFH 205 64 0 1 2E+02 17 0.04 45.5596 70 SAFH 206 65 0 1 2E+02 14 0.0082 50.4046 71 SAFH 207 66 0 1 0.05 15 0.002 50.4139 72 SAFH 210 67 0 1 1.9E+02 16 0.013 59.8238 73 SAFH 214 68 0 1 1.8E+02 18 0.012 64.7981 74 SAFH 216 69 0 1 1.1E+02 13 0.00089 56.917 75 SAFH 217 70 0 1 0.0073 11 0.00088 56.9185 76 SAFH 218 71 0 1 79 15 0.002 51.5578 77 SAFH 223 72 0 1 0.037 9 0.00083 51.5654 78 SAFH 224 73 0 1 0.0042 7 6.2E-05 51.5661 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 225 74 0 1 0.00029 5 5.8E-06 51.5662 80 SAFH 226 75 0 1 6.9E-05 3 3.9E-06 51.5662 81 SAFH 227 76 0 1 9.6E-06 1 2.1E-06 51.5662 82 SAFH 228 77 0 1 49 11 0.0054 57.7193 83 SAFH 230 78 0 1 0.054 10 0.00033 57.7355 84 SAFH 231 79 0 1 13 12 0.0019 57.0048 85 SAFH 237 80 0 1 1.7E+02 16 0.004 63.6763 86 SAFH 239 81 0 1 1.9E+02 18 0.006 46.1398 87 SAFH 242 82 0 1 1.1E+02 12 0.035 59.967 88 SAFH 243 83 0 1 0.3 12 0.0041 60.0735 89 SAFH 244 84 0 1 0.01 10 0.00031 60.0776 90 SAFH 245 85 0 1 54 14 0.0098 55.8363 91 SAFH 250 86 0 1 1.1E+02 14 0.011 42.9304 92 SAFH 253 87 0 1 75 8 0.00011 60.0781 93 SAFH 254 88 0 1 47 10 0.0039 66.1905 94 SAFH 255 89 0 1 1.5E+02 16 0.017 66.5856 95 SAFH 261 90 0 1 1.9E+02 18 0.013 67.4803 96 SAFH 263 91 0 1 2E+02 18 0.012 48.7585 97 SAFH 265 92 0 1 1.8E+02 12 0.014 51.7903 98 SAFH 267 93 0 1 2.1E+02 12 0.00039 48.3747 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 268 94 0 1 1.7E+02 18 0.04 58.9986 100 SAFH 270 95 0 1 1.8E+02 18 0.0091 51.7352 101 SAFH 271 96 0 1 0.11 18 0.0043 51.764 102 SAFH 275 97 0 1 2E+02 14 0.00056 43.944 103 SAFH 276 98 0 1 77 16 0.0049 42.4784 104 SAFJL 279 99 0 1 1.5E+02 0 9.2E-08 41.25 105 SAFH 269 98 0 0.5 1.1E+02 2 0.0019 33.7471 106 SAFJ 271 99 0 0.5 1.4E+02 0 9.2E-08 35.25 107 SAFJ 271 99 0 0.3 0 0 9.2E-08 35.25 108 SAFJ 271 99 0 0.2 0 0 9.2E-08 35.25 109 SAFJ 271 99 0 0.1 0 0 9.2E-08 35.25 110 AFG 271 99 0 0 5.6E+14 0 8.9E-16 23.4643 110 FOUND SOLUTION: 23.4643 (NLP) in 1349 sec. 111 AFH 271 99 0 0 5.6E+14 10 0.00051 23.4637 112 AFH 272 100 0 0 80 8 0.00016 23.4641 113 AFH 273 101 0 0 78 6 0.00011 23.4642 114 AFH 274 102 0 0 5 4 0.0001 23.4642 115 AFH 275 103 0 0 79 2 7.4E-06 23.4643 116 AFJ 276 104 0 0 7 0 3.8E-08 23.4643 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.123_fo9._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 23.464285714189664134 Max constraint (1) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 23.464285714189664134 Max constraint (1) : 8.8817841970012523234e-16 Time used (seconds) : 3049.83 Time limit (seconds) : 7200 Iterations used : 116 Iteration limit : -1 Function evaluations : 3564 Gradient evaluations : 286 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 7/116 NLP solver calls : 117 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- fo9.gms(794) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job fo9.gms Stop 09/14/12 16:14:24 elapsed 0:50:49.943 @04 1347632064 ----------------------------- Fr 14. Sep 16:14:24 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m3.gms =========== ----------------------------- Fr 14. Sep 15:30:22 CEST 2012 ----------------------------- @03 1347629422 --- Job m3.gms Start 09/14/12 15:30:22 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m3.gms(144) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- m3.gms(139) 3 Mb --- Generating MINLP model m --- m3.gms(144) 5 Mb --- 44 rows 27 columns 157 non-zeroes --- 31 nl-code 6 nl-non-zeroes --- 6 discrete-columns --- m3.gms(144) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.124_m3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 157 elements of which 4% are non-linear(NL) included in 44 constraints of which 14% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 6 from a total of 27 variables: Continuous(21), Binary(6), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (44) infeasibile 0 H 0 0 0 1 0 6 3.3 NA 1 SAFH 6 1 0 1 2E+13 6 0.55 44.6965 2 SAFH 8 2 0 1 37 6 0.63 44.5351 3 SAFG 10 3 0 1 2E+13 0 0 67.4969 3 FOUND SOLUTION: 67.4969 (NLP) in 1 sec. 4 SAH 10 3 0 1 2E+13 6 0.14 66.7583 5 SAFH 13 4 0 1 2.2 6 0.031 67.4491 6 SAFH 15 5 0 1 1.1 6 0.007 67.476 7 SAFH 18 6 0 1 0.55 4 0.0017 67.4887 8 SAFH 20 7 0 1 0.26 4 0.00042 67.4949 9 SAFH 21 8 0 1 0.0038 2 0.00035 67.4962 10 SAFH 22 9 0 1 0.13 4 9.9E-05 67.4964 11 SAFH 23 10 0 1 0.0002 2 8.8E-05 67.4967 12 SAFH 24 11 0 1 0.063 4 2.5E-05 67.4968 13 SAFH 25 12 0 1 0.0025 2 2.2E-05 67.4969 14 SAFH 26 13 0 1 0.033 4 5.7E-06 67.4969 15 SAFH 27 14 0 1 1.1E-05 2 5.5E-06 67.4969 16 SAFH 28 15 0 1 0.015 2 1.4E-06 67.4969 17 SAFJL 29 16 0 1 0.0076 0 3.5E-07 67.4969 17 FOUND SOLUTION: 67.4969 in 1 sec. 18 SAFG 23 15 0 0.5 2E+13 0 0 49.8 18 FOUND SOLUTION: 49.8 (NLP) in 1 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 23 15 0 0.5 2E+13 4 0.55 49.8 20 SAFG 25 16 0 0.5 2E+13 0 4.4E-15 37.8 20 FOUND SOLUTION: 37.8 (NLP) in 1 sec. 21 SAFJ 25 16 0 0.5 2E+13 0 0 37.8 22 SAFJ 25 16 0 0.3 0 0 0 37.8 23 SAFJ 25 16 0 0.2 0 0 0 37.8 24 SAFJ 25 16 0 0.1 0 0 0 37.8 25 AFJ 25 16 0 0 3.6 0 0 37.8 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.124_m3._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 37.799999999977202947 Max constraint (1) : 4.4408920985006261617e-15 Alternative solution : MIP Alt. objective value : 37.799999999977202947 Max constraint (1) : 4.4408920985006261617e-15 Time used (seconds) : 0.40 Time limit (seconds) : 7200 Iterations used : 25 Iteration limit : -1 Function evaluations : 348 Gradient evaluations : 31 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 2.2 % NLP time usage : 23.8 % MIP time usage : 73.9 % Optimal/total MIPs : 1/25 NLP solver calls : 25 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m3.gms(144) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m3.gms Stop 09/14/12 15:30:22 elapsed 0:00:00.445 @04 1347629422 ----------------------------- Fr 14. Sep 15:30:22 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m6.gms =========== ----------------------------- Fr 14. Sep 15:30:22 CEST 2012 ----------------------------- @03 1347629422 --- Job m6.gms Start 09/14/12 15:30:22 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m6.gms(392) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- m6.gms(387) 3 Mb --- Generating MINLP model m --- m6.gms(392) 5 Mb --- 158 rows 87 columns 635 non-zeroes --- 61 nl-code 12 nl-non-zeroes --- 30 discrete-columns --- m6.gms(392) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.125_m6._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 635 elements of which 2% are non-linear(NL) included in 158 constraints of which 8% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 12 from a total of 87 variables: Continuous(57), Binary(30), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (158) infeasibile 0 H 0 0 0 1 0 12 4.5 NA 1 SAFG 12 1 0 1 2.2E+11 0 3.6E-15 106.286 1 FOUND SOLUTION: 106.286 (NLP) in 1 sec. 2 SAFH 12 1 0 1 2.2E+14 10 0.48 105.928 3 SAFH 14 2 0 1 0.49 8 0.13 106.224 4 SAFH 15 3 0 1 0.15 8 0.033 106.283 5 SAFH 16 4 0 1 0.033 6 0.014 106.284 6 SAFH 17 5 0 1 0.014 4 0.0032 106.284 7 SAFH 20 6 0 1 0.0061 1 2E-06 106.286 8 SAFJL 21 7 0 1 2.4E-06 0 5.2E-09 106.286 9 SAFG 9 6 0 0.5 2.2E+14 0 4.4E-16 106.2 9 FOUND SOLUTION: 106.2 (NLP) in 1 sec. 10 SAFH 9 6 0 0.5 2.2E+14 12 4.2 80.0082 11 SAFG 13 7 0 0.5 2.2E+14 0 1.3E-10 82.2855 11 FOUND SOLUTION: 82.2855 (NLP) in 1 sec. 12 SAFJ 13 7 0 0.5 2.2E+14 0 5.2E-09 82.2855 13 SAFJ 13 7 0 0.3 2.2E-14 0 5.2E-09 82.2855 14 SAFJ 13 7 0 0.2 0 0 5.2E-09 82.2855 15 SAFJ 13 7 0 0.1 0 0 5.2E-09 82.2855 16 AFG 13 7 0 0 2.2E+14 0 0 82.2569 16 FOUND SOLUTION: 82.2569 (NLP) in 2 sec. 17 AFH 13 7 0 0 2.2E+14 4 1.8 82.2569 18 AFJ 16 8 0 0 32 0 5.2E-09 82.2569 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.125_m6._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 82.25687691378156785 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 82.25687691378156785 Max constraint (1) : 0 Time used (seconds) : 1.46 Time limit (seconds) : 7200 Iterations used : 18 Iteration limit : -1 Function evaluations : 792 Gradient evaluations : 28 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.5 % NLP time usage : 7.4 % MIP time usage : 92.0 % Optimal/total MIPs : 3/18 NLP solver calls : 19 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m6.gms(392) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m6.gms Stop 09/14/12 15:30:24 elapsed 0:00:01.492 @04 1347629424 ----------------------------- Fr 14. Sep 15:30:24 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7_ar2_1.gms =========== ----------------------------- Fr 14. Sep 15:30:24 CEST 2012 ----------------------------- @03 1347629424 --- Job m7_ar2_1.gms Start 09/14/12 15:30:24 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7_ar2_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.026 --- m7_ar2_1.gms(663) 3 Mb --- Generating MINLP model m --- m7_ar2_1.gms(668) 5 Mb --- 270 rows 113 columns 1,053 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7_ar2_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.032 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.126_m7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1053 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (258) infeasibile 0 H 0 0 0 1 0 14 2.2 NA 1 SAFG 14 1 0 1 3.2E+11 0 4.4E-16 299.683 1 FOUND SOLUTION: 299.683 (NLP) in 1 sec. 2 SAFH 14 1 0 1 3.2E+14 10 0.13 294.688 3 SAFG 18 2 0 1 3.2E+14 0 2.4E-10 234.382 3 FOUND SOLUTION: 234.382 (NLP) in 1 sec. 4 SAFH 18 2 0 1 3.2E+14 8 0.052 233.666 5 SAFH 20 3 0 1 66 10 0.0072 272.158 6 SAFH 22 4 0 1 19 10 0.00031 284.49 7 SAFH 23 5 0 1 0.0011 8 0.00026 284.494 8 SAFH 24 6 0 1 0.0022 6 6.7E-05 284.497 9 SAFH 25 7 0 1 0.00013 4 3.3E-06 284.498 10 SAFH 26 8 0 1 94 10 0.045 253.333 11 SAFH 28 9 0 1 94 10 0.016 288.479 12 SAFH 30 10 0 1 42 2 2E-06 310.658 13 SAFH 31 11 0 1 69 8 6.7E-05 282.608 14 SAFJL 32 12 0 1 70 0 5.5E-09 284.498 15 SAFH 18 11 0 0.5 77 8 0.015 249.191 16 SAFH 20 12 0 0.5 74 6 0.011 275.935 17 SAFH 26 13 0 0.5 1.2E+02 8 0.25 170.547 18 SAFH 28 14 0 0.5 72 8 0.039 242.899 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 30 15 0 0.5 3.2E+14 0 5.8E-12 197.915 19 FOUND SOLUTION: 197.915 (NLP) in 3 sec. 20 SAFH 30 15 0 0.5 3.2E+14 8 0.0095 197.564 21 SAFH 36 16 0 0.5 66 8 0.0012 274.999 22 SAFH 37 17 0 0.5 66 4 3.5E-05 197.914 23 SAFH 38 18 0 0.5 61 2 2.5E-05 298.235 24 SAFG 39 19 0 0.5 3.2E+14 0 3.3E-14 195.035 24 FOUND SOLUTION: 195.035 (NLP) in 4 sec. 25 SAFJ 39 19 0 0.5 3.2E+14 0 9E-08 195.035 25 FOUND SOLUTION: 195.035 in 4 sec. 26 SAFJ 39 19 0 0.3 0 0 9E-08 195.035 27 SAFG 39 19 0 0.2 3.2E+14 0 1.8E-11 190.235 27 FOUND SOLUTION: 190.235 (NLP) in 5 sec. 28 SAFJ 39 19 0 0.2 3.2E+14 0 9E-08 190.235 28 FOUND SOLUTION: 190.235 in 6 sec. 29 SAFJ 39 19 0 0.1 0 0 9E-08 190.235 30 AFJ 39 19 0 0 2.7E-14 0 9E-08 190.235 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.126_m7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 190.2350000002324748 Max constraint (6) : 1.7581047728754128912e-11 Alternative solution : MIP Alt. objective value : 190.2349977846035074 Max constraint (10) : 9.0027774568568474933e-08 Time used (seconds) : 6.82 Time limit (seconds) : 7200 Iterations used : 30 Iteration limit : -1 Function evaluations : 1050 Gradient evaluations : 53 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 2.1 % MIP time usage : 97.8 % Optimal/total MIPs : 1/30 NLP solver calls : 31 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7_ar2_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7_ar2_1.gms Stop 09/14/12 15:30:31 elapsed 0:00:06.872 @04 1347629431 ----------------------------- Fr 14. Sep 15:30:31 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7_ar25_1.gms =========== ----------------------------- Fr 14. Sep 15:30:31 CEST 2012 ----------------------------- @03 1347629431 --- Job m7_ar25_1.gms Start 09/14/12 15:30:31 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7_ar25_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- m7_ar25_1.gms(663) 3 Mb --- Generating MINLP model m --- m7_ar25_1.gms(668) 5 Mb --- 270 rows 113 columns 1,053 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7_ar25_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.127_m7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1053 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (258) infeasibile 0 H 0 0 0 1 0 14 2.7 NA 1 SAFG 14 1 0 1 3.2E+11 0 0 175.031 1 FOUND SOLUTION: 175.031 (NLP) in 1 sec. 2 SAFH 14 1 0 1 3.2E+14 8 0.5 166.051 3 SAFH 16 2 0 1 4 8 0.034 174.755 4 SAFH 18 3 0 1 58 6 0.29 289.831 5 SAFH 20 4 0 1 0.92 4 0.00073 293.98 6 SAFH 21 5 0 1 0.0011 2 2E-06 293.985 7 SAFG 22 6 0 1 3.2E+14 0 1.1E-10 167.585 7 FOUND SOLUTION: 167.585 (NLP) in 1 sec. 8 SAFJL 22 6 0 1 3.2E+14 0 1.7E-07 167.585 8 FOUND SOLUTION: 167.585 in 1 sec. 9 SAFG 8 5 0 0.5 3.2E+14 0 1.1E-10 143.585 9 FOUND SOLUTION: 143.585 (NLP) in 1 sec. 10 SAFJ 8 5 0 0.5 3.2E+14 0 1.7E-07 143.585 10 FOUND SOLUTION: 143.585 in 1 sec. 11 SAFJ 8 5 0 0.3 0 0 1.7E-07 143.585 12 SAFJ 8 5 0 0.2 0 0 1.7E-07 143.585 13 SAFJ 8 5 0 0.1 0 0 1.7E-07 143.585 14 AFJ 8 5 0 0 0 0 1.7E-07 143.585 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.127_m7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 143.58499999704307015 Max constraint (6) : 1.1490630669186430168e-10 Alternative solution : MIP Alt. objective value : 143.58499882363150846 Max constraint (8) : 1.6730574214918192411e-07 Time used (seconds) : 1.04 Time limit (seconds) : 7200 Iterations used : 14 Iteration limit : -1 Function evaluations : 280 Gradient evaluations : 22 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.7 % NLP time usage : 12.2 % MIP time usage : 87.1 % Optimal/total MIPs : 1/14 NLP solver calls : 15 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7_ar25_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7_ar25_1.gms Stop 09/14/12 15:30:32 elapsed 0:00:01.076 @04 1347629432 ----------------------------- Fr 14. Sep 15:30:32 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7_ar3_1.gms =========== ----------------------------- Fr 14. Sep 15:30:32 CEST 2012 ----------------------------- @03 1347629432 --- Job m7_ar3_1.gms Start 09/14/12 15:30:32 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7_ar3_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.026 --- m7_ar3_1.gms(663) 3 Mb --- Generating MINLP model m --- m7_ar3_1.gms(668) 5 Mb --- 270 rows 113 columns 1,053 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7_ar3_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.029 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.128_m7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1053 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (258) infeasibile 0 H 0 0 0 1 0 14 3.3 NA 1 SAFG 14 1 0 1 3.2E+11 0 1.3E-10 274.44 1 FOUND SOLUTION: 274.44 (NLP) in 1 sec. 2 SAFH 14 1 0 1 3.2E+14 10 0.05 274.049 3 SAFH 15 2 0 1 0.06 10 0.01 274.337 4 SAFH 16 3 0 1 0.059 8 0.001 274.428 5 SAFH 17 4 0 1 0.0013 6 0.0004 274.434 6 SAFH 18 5 0 1 0.003 4 4E-06 274.44 7 SAFH 19 6 0 1 8E-06 2 2E-06 274.44 8 SAFJL 20 7 0 1 2E-06 0 5.2E-07 274.44 8 FOUND SOLUTION: 274.44 in 1 sec. 9 SAFG 6 6 0 0.5 3.2E+14 0 0 173.615 9 FOUND SOLUTION: 173.615 (NLP) in 1 sec. 10 SAFH 6 6 0 0.5 3.2E+14 10 0.21 170.399 11 SAFH 9 7 0 0.5 4.5 6 0.031 173.124 12 SAFG 12 8 0 0.5 3.2E+14 0 6.2E-11 163.662 12 FOUND SOLUTION: 163.662 (NLP) in 1 sec. 13 SAFH 12 8 0 0.5 3.2E+14 12 0.022 163.201 14 SAFG 14 9 0 0.5 3.2E+14 0 8.9E-16 160.905 14 FOUND SOLUTION: 160.905 (NLP) in 1 sec. 15 SAFH 14 9 0 0.5 3.2E+14 8 0.057 160.604 16 SAFH 15 10 0 0.5 21 8 0.014 180.402 17 SAFH 16 11 0 0.5 50 10 0.44 183.942 18 SAFH 20 12 0 0.5 78 10 0.0056 163.57 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 21 13 0 0.5 15 8 0.00043 215.238 20 SAFH 22 14 0 0.5 85 4 0.053 225.155 21 SAFG 24 15 0 0.5 3.2E+14 0 1.7E-12 156.038 21 FOUND SOLUTION: 156.038 (NLP) in 2 sec. 22 SAFH 24 15 0 0.5 3.2E+14 8 0.23 153.883 23 SAFH 26 16 0 0.5 78 10 0.025 175.559 24 SAFH 27 17 0 0.5 1.2E+02 8 0.0087 155.84 25 SAFH 28 18 0 0.5 68 12 0.0033 205.294 26 SAFH 32 19 0 0.5 50 8 0.00047 177.799 27 SAFH 33 20 0 0.5 0.0023 6 0.00047 177.803 28 SAFH 34 21 0 0.5 0.0012 4 0.00028 177.804 29 SAFH 35 22 0 0.5 0.0021 2 1.2E-05 177.81 30 SAFH 36 23 0 0.5 73 8 0.0035 160.869 31 SAFH 38 24 0 0.5 53 6 0.00078 263.577 32 SAFH 39 25 0 0.5 0.002 4 0.00033 263.586 33 SAFH 40 26 0 0.5 0.0017 2 6E-05 263.593 34 SAFJ 41 27 0 0.5 52 0 1.8E-11 177.811 35 SAFJ 41 27 0 0.3 0 0 1.8E-11 177.811 36 SAFJ 41 27 0 0.2 0 0 1.8E-11 177.811 37 SAFJ 41 27 0 0.1 0 0 1.8E-11 177.811 38 AFH 41 27 0 0 1.5E+02 5 0.45 134.452 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 45 28 0 0 3.2E+14 0 5.1E-10 143.585 39 FOUND SOLUTION: 143.585 (NLP) in 9 sec. 40 AFH 45 28 0 0 3.2E+14 2 0.00076 143.58 41 AFJ 46 29 0 0 34 0 1.8E-07 143.585 41 FOUND SOLUTION: 143.585 in 11 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.128_m7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 143.58499998678919951 Max constraint (8) : 5.1287862845583731541e-10 Alternative solution : MIP Alt. objective value : 143.58499872159396205 Max constraint (8) : 1.8181775773840058719e-07 Time used (seconds) : 10.84 Time limit (seconds) : 7200 Iterations used : 41 Iteration limit : -1 Function evaluations : 2576 Gradient evaluations : 60 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 1.5 % MIP time usage : 98.5 % Optimal/total MIPs : 4/41 NLP solver calls : 42 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7_ar3_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7_ar3_1.gms Stop 09/14/12 15:30:43 elapsed 0:00:10.889 @04 1347629443 ----------------------------- Fr 14. Sep 15:30:43 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7_ar4_1.gms =========== ----------------------------- Fr 14. Sep 15:30:43 CEST 2012 ----------------------------- @03 1347629443 --- Job m7_ar4_1.gms Start 09/14/12 15:30:43 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7_ar4_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.005 --- m7_ar4_1.gms(663) 3 Mb --- Generating MINLP model m --- m7_ar4_1.gms(668) 5 Mb --- 270 rows 113 columns 1,053 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7_ar4_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.129_m7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1053 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (268) infeasibile 0 H 0 0 0 1 0 14 4.5 NA 1 SAFG 14 1 0 1 3.2E+11 0 0 200.93 1 FOUND SOLUTION: 200.93 (NLP) in 1 sec. 2 SAFH 14 1 0 1 3.2E+14 6 5E-06 200.93 3 SAFH 15 2 0 1 8.2E-06 4 4E-06 200.93 4 SAFH 16 3 0 1 4E-06 2 2E-06 200.93 5 SAFJL 17 4 0 1 2E-06 0 5.2E-12 200.93 6 SAFJ 3 3 0 0.5 1.4E-14 0 5.2E-12 200.93 7 SAFJ 3 3 0 0.3 0 0 5.2E-12 200.93 8 SAFG 3 3 0 0.2 3.2E+14 0 0 106.757 8 FOUND SOLUTION: 106.757 (NLP) in 1 sec. 9 SAFJ 3 3 0 0.2 3.2E+14 0 5.2E-12 106.757 10 SAFJ 3 3 0 0.1 0 0 5.2E-12 106.757 11 AFJ 3 3 0 0 0 0 5.2E-12 106.757 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.129_m7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 106.75687691352135289 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 106.75687691352135289 Max constraint (1) : 0 Time used (seconds) : 0.96 Time limit (seconds) : 7200 Iterations used : 11 Iteration limit : -1 Function evaluations : 574 Gradient evaluations : 17 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.3 % NLP time usage : 5.0 % MIP time usage : 94.7 % Optimal/total MIPs : 1/11 NLP solver calls : 12 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7_ar4_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7_ar4_1.gms Stop 09/14/12 15:30:44 elapsed 0:00:00.986 @04 1347629444 ----------------------------- Fr 14. Sep 15:30:44 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7_ar5_1.gms =========== ----------------------------- Fr 14. Sep 15:30:45 CEST 2012 ----------------------------- @03 1347629445 --- Job m7_ar5_1.gms Start 09/14/12 15:30:45 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7_ar5_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- m7_ar5_1.gms(663) 3 Mb --- Generating MINLP model m --- m7_ar5_1.gms(668) 5 Mb --- 270 rows 113 columns 1,053 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7_ar5_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.130_m7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1053 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (268) infeasibile 0 H 0 0 0 1 0 14 5.5 NA 1 SAFG 12 1 0 1 3.2E+11 0 8.9E-16 200.46 1 FOUND SOLUTION: 200.46 (NLP) in 1 sec. 2 SAFH 12 1 0 1 3.2E+14 4 4E-06 200.46 3 SAFH 13 2 0 1 4E-06 2 2E-06 200.46 4 SAFJL 14 3 0 1 2E-06 0 8.9E-16 200.46 5 SAFJ 2 2 0 0.5 6E-15 0 8.9E-16 200.46 6 SAFJ 2 2 0 0.3 0 0 8.9E-16 200.46 7 SAFJ 2 2 0 0.2 0 0 8.9E-16 200.46 8 SAFJ 2 2 0 0.1 0 0 8.9E-16 200.46 9 AFH 2 2 0 0 1.3E+02 8 1.4 98.8187 10 AFG 8 3 0 0 3.2E+14 0 0 106.46 10 FOUND SOLUTION: 106.46 (NLP) in 3 sec. 11 AFJ 8 3 0 0 3.2E+14 0 8.9E-16 106.46 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.130_m7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 106.46000575996470161 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 106.46000575996470161 Max constraint (1) : 0 Time used (seconds) : 3.72 Time limit (seconds) : 7200 Iterations used : 11 Iteration limit : -1 Function evaluations : 686 Gradient evaluations : 20 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.2 % NLP time usage : 1.8 % MIP time usage : 98.0 % Optimal/total MIPs : 3/11 NLP solver calls : 12 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7_ar5_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7_ar5_1.gms Stop 09/14/12 15:30:48 elapsed 0:00:03.754 @04 1347629448 ----------------------------- Fr 14. Sep 15:30:48 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/m7.gms =========== ----------------------------- Fr 14. Sep 15:30:49 CEST 2012 ----------------------------- @03 1347629449 --- Job m7.gms Start 09/14/12 15:30:49 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- m7.gms(508) 2 Mb --- Starting execution: elapsed 0:00:00.005 --- m7.gms(503) 3 Mb --- Generating MINLP model m --- m7.gms(508) 5 Mb --- 212 rows 115 columns 867 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- m7.gms(508) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.008 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.131_m7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 867 elements of which 2% are non-linear(NL) included in 212 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 115 variables: Continuous(73), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (210) infeasibile 0 H 0 0 0 1 0 14 4.5 NA 1 SAFG 14 1 0 1 3.2E+11 0 0 220.604 1 FOUND SOLUTION: 220.604 (NLP) in 1 sec. 2 SAFH 14 1 0 1 3.2E+14 12 0.48 218.335 3 SAFH 16 2 0 1 0.99 10 0.13 220.358 4 SAFH 17 3 0 1 0.12 10 0.033 220.589 5 SAFH 18 4 0 1 0.034 8 0.014 220.59 6 SAFH 19 5 0 1 0.014 6 0.0032 220.59 7 SAFH 24 6 0 1 0.01 1 2E-06 220.604 8 SAFJL 25 7 0 1 2E-06 0 5.2E-09 220.604 9 SAFH 11 6 0 0.5 1.4E+02 14 4.2 103.213 10 SAFG 16 7 0 0.5 3.2E+14 0 2.6E-10 206.831 10 FOUND SOLUTION: 206.831 (NLP) in 1 sec. 11 SAFJ 16 7 0 0.5 3.2E+14 0 5.2E-09 206.831 12 SAFJ 16 7 0 0.3 0 0 5.2E-09 206.831 13 SAFJ 16 7 0 0.2 0 0 5.2E-09 206.831 14 SAFJ 16 7 0 0.1 0 0 5.2E-09 206.831 15 AFG 16 7 0 0 3.2E+14 0 2.6E-10 106.757 15 FOUND SOLUTION: 106.757 (NLP) in 3 sec. 16 AFH 16 7 0 0 3.2E+14 4 1.8 106.757 17 AFJ 19 8 0 0 2.7 0 5.2E-09 106.757 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.131_m7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 106.75687692635787585 Max constraint (13) : 2.6208191172827355331e-10 Alternative solution : MIP Alt. objective value : 106.75687692635787585 Max constraint (13) : 2.6208191172827355331e-10 Time used (seconds) : 2.80 Time limit (seconds) : 7200 Iterations used : 17 Iteration limit : -1 Function evaluations : 1064 Gradient evaluations : 33 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.1 % NLP time usage : 2.9 % MIP time usage : 97.0 % Optimal/total MIPs : 3/17 NLP solver calls : 18 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- m7.gms(508) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job m7.gms Stop 09/14/12 15:30:51 elapsed 0:00:02.829 @04 1347629451 ----------------------------- Fr 14. Sep 15:30:51 CEST 2012 ----------------------------- =ready= Linux opt229 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/netmod_dol1.gms =========== ----------------------------- Fr 14. Sep 15:30:52 CEST 2012 ----------------------------- @03 1347629452 --- Job netmod_dol1.gms Start 09/14/12 15:30:52 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- netmod_dol1.gms(7154) 3 Mb --- Starting execution: elapsed 0:00:00.023 --- netmod_dol1.gms(7148) 4 Mb --- Generating MINLP model m --- netmod_dol1.gms(7154) 7 Mb --- 3,138 rows 1,999 columns 8,569 non-zeroes --- 27 nl-code 6 nl-non-zeroes --- 462 discrete-columns --- netmod_dol1.gms(7154) 4 Mb --- Executing ALPHAECP: elapsed 0:00:00.037 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.132_netmod_dol1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 8569 elements of which 0% are non-linear(NL) included in 3138 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(0), =L=(1) The number of variables in NL elements are 6 from a total of 1999 variables: Continuous(1537), Binary(462), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=468 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.2E+03 0 0 0 1 FOUND SOLUTION: 0 (NLP) in 1 sec. 2 SAFH 0 0 0 1 0 1 1E+13 -1E+13 3 SAFG 1 1 0 1 2E+03 0 1.1E-16 -0.0274041 3 FOUND SOLUTION: -0.0274041 (NLP) in 1 sec. 4 SAFH 1 1 0 1 3.5E+02 1 1.7 -1.00394 5 SAFJ 2 2 0 1 1.6E+03 0 0 1.32662 6 SAFJ 2 2 0 0.5 0 0 0 1.32662 7 SAFJ 2 2 0 0.3 0 0 0 1.32662 8 SAFJ 2 2 0 0.2 0 0 0 1.32662 9 SAFJ 2 2 0 0.1 0 0 0 1.32662 10 AFH 2 2 0 0 2E+03 1 1.7 -1.67338 11 AFH 3 3 0 0 2.2E+03 1 1.7 -1.67338 12 AFH 4 4 0 0 2.2E+03 1 1.6 -1.61039 13 AFG 5 5 0 0 2.1E+03 0 2.8E-17 -0.335413 13 FOUND SOLUTION: -0.335413 (NLP) in 29 sec. 14 AFH 5 5 0 0 0 1 1 -1.35576 15 AFG 6 6 0 0 1.6E+03 0 5.6E-17 -0.518546 15 FOUND SOLUTION: -0.518546 (NLP) in 266 sec. 16 AFH 6 6 0 0 0 1 0.72 -1.23622 17 AFH 7 7 0 0 1.6E+03 1 0.39 -0.87741 18 AFH 8 8 0 0 1.4E+03 1 0.35 -0.841473 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 9 9 0 0 1.2E+03 1 0.35 -0.82509 20 AFH 10 10 0 0 9.7E+02 1 0.35 -0.82509 21 AFH 11 11 0 0 1.8E+03 1 0.27 -0.761858 22 AFG 12 12 0 0 1.7E+03 0 0 -0.542152 22 FOUND SOLUTION: -0.542152 (NLP) in 638 sec. 23 AFH 12 12 0 0 0 1 0.21 -0.753123 24 AFH 13 13 0 0 1.4E+03 1 0.25 -0.753054 25 AFH 14 14 0 0 1.9E+03 1 0.24 -0.742002 26 AFH 15 15 0 0 1.1E+03 1 0.22 -0.723541 27 AFH 16 16 0 0 1.1E+03 1 0.2 -0.717194 28 AFG 17 17 0 0 1.3E+03 0 0 -0.542447 28 FOUND SOLUTION: -0.542447 (NLP) in 1259 sec. 29 AFH 17 17 0 0 0 1 0.17 -0.71421 30 AFH 18 18 0 0 1.2E+03 1 0.2 -0.706701 31 AFH 19 19 0 0 1.1E+03 1 0.19 -0.691728 32 AFH 20 20 0 0 7.2E+02 1 0.19 -0.683854 33 AFH 21 21 0 0 1.1E+03 1 0.16 -0.680413 34 AFG 22 22 0 0 1.6E+03 0 0 -0.55325 34 FOUND SOLUTION: -0.55325 (NLP) in 2350 sec. 35 AFH 22 22 0 0 0 1 0.12 -0.674019 36 AFH 23 23 0 0 1.1E+03 1 0.12 -0.665447 37 AFG 24 24 0 0 1E+03 0 5.6E-17 -0.55976 37 FOUND SOLUTION: -0.55976 (NLP) in 3107 sec. 38 AFH 24 24 0 0 0 1 0.1 -0.660286 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 25 25 0 0 1.2E+03 1 0.12 -0.65583 40 AFH 26 26 0 0 1.2E+03 1 0.099 -0.653598 41 AFH 27 27 0 0 1.2E+03 1 0.098 -0.649087 42 AFH 28 28 0 0 1.2E+03 1 0.13 -0.648227 43 AFH 29 29 0 0 1.3E+03 1 0.099 -0.638423 44 AFH 30 30 0 0 1.1E+03 1 0.083 -0.634982 45 AFH 31 31 0 0 1.1E+03 1 0.088 -0.634812 46 AFH 32 32 0 0 1.3E+03 1 0.08 -0.629867 47 AFH 33 33 0 0 1E+03 1 0.083 -0.628829 48 AFH 34 34 0 0 1.1E+03 1 0.075 -0.624248 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.132_netmod_dol1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : -0.55976036952074015307 Max constraint (1) : 5.5511151231257827021e-17 Alternative solution : MIP Alt. objective value : -0.55976036952074015307 Max constraint (1) : 5.5511151231257827021e-17 Time used (seconds) : 7202.02 Time limit (seconds) : 7200 Iterations used : 49 Iteration limit : -1 Function evaluations : 84 Gradient evaluations : 35 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 40/49 NLP solver calls : 48 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- netmod_dol1.gms(7154) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job netmod_dol1.gms Stop 09/14/12 17:30:54 elapsed 2:00:02.214 @04 1347636654 ----------------------------- Fr 14. Sep 17:30:54 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/netmod_dol2.gms =========== ----------------------------- Fr 14. Sep 15:36:50 CEST 2012 ----------------------------- @03 1347629810 --- Job netmod_dol2.gms Start 09/14/12 15:36:50 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- netmod_dol2.gms(8253) 3 Mb --- Starting execution: elapsed 0:00:00.069 --- netmod_dol2.gms(8247) 4 Mb --- Generating MINLP model m --- netmod_dol2.gms(8253) 7 Mb --- 3,081 rows 1,999 columns 18,737 non-zeroes --- 27 nl-code 6 nl-non-zeroes --- 462 discrete-columns --- netmod_dol2.gms(8253) 5 Mb --- Executing ALPHAECP: elapsed 0:00:00.105 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.133_netmod_dol2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 18737 elements of which 0% are non-linear(NL) included in 3081 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(0), =L=(1) The number of variables in NL elements are 6 from a total of 1999 variables: Continuous(1537), Binary(462), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=462 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 1.1E+03 0 7.2E-07 0.285339 1 FOUND SOLUTION: 0.285339 (NLP) in 1 sec. 2 SAFH 0 0 0 1 0 1 1E+13 -1E+13 3 SAFG 1 1 0 1 1.9E+03 0 1.1E-16 0.00518476 3 FOUND SOLUTION: 0.00518476 (NLP) in 1 sec. 4 SAFH 1 1 0 1 0 1 1.2 -1.22605 5 SAFH 2 2 0 1 74 1 0.00058 0.00785852 6 SAFJ 3 3 0 1 0 0 0 0.00843977 7 SAFG 3 3 0 0.5 1.6E+03 0 1.1E-16 -0.246505 7 FOUND SOLUTION: -0.246505 (NLP) in 1 sec. 8 SAFH 3 3 0 0.5 0 1 0.92 -1.16287 9 SAFH 4 4 0 0.5 1.7E+03 1 0.86 -1.01941 10 SAFG 5 5 0 0.5 1.7E+03 0 0 -0.288603 10 FOUND SOLUTION: -0.288603 (NLP) in 2 sec. 11 SAFH 5 5 0 0.5 0 1 0.12 -0.411836 12 SAFG 6 6 0 0.5 1.7E+03 0 8.3E-17 -0.422353 12 FOUND SOLUTION: -0.422353 (NLP) in 4 sec. 13 SAFH 6 6 0 0.5 0 1 0.22 -0.644801 14 SAFH 7 7 0 0.5 1E+03 1 0.099 -0.437047 15 SAFH 8 8 0 0.5 1E+03 1 0.19 -0.59834 16 SAFH 9 9 0 0.5 1.7E+03 1 0.58 -0.624194 17 SAFH 10 10 0 0.5 6E+02 1 0.14 -0.456639 18 SAFH 11 11 0 0.5 7.1E+02 1 0.13 -0.540881 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 12 12 0 0.5 8.9E+02 1 0.21 -0.549089 20 SAFH 13 13 0 0.5 7E+02 1 0.022 -0.425414 21 SAFG 14 14 0 0.5 1.4E+03 0 5.6E-17 -0.436101 21 FOUND SOLUTION: -0.436101 (NLP) in 9 sec. 22 SAFH 14 14 0 0.5 0 1 0.085 -0.520654 23 SAFH 15 15 0 0.5 7.1E+02 1 0.1 -0.508486 24 SAFG 16 16 0 0.5 7.4E+02 0 0 -0.45977 24 FOUND SOLUTION: -0.45977 (NLP) in 10 sec. 25 SAFH 16 16 0 0.5 0 1 0.04 -0.499535 26 SAFH 17 17 0 0.5 6.2E+02 1 0.0065 -0.443084 27 SAFG 18 18 0 0.5 6.3E+02 0 1.1E-16 -0.483655 27 FOUND SOLUTION: -0.483655 (NLP) in 12 sec. 28 SAFH 18 18 0 0.5 2.3E-10 1 0.0036 -0.487228 29 SAFH 19 19 0 0.5 2.5E+02 1 0.0065 -0.443657 30 SAFH 20 20 0 0.5 7.1E+02 1 0.0013 -0.447649 31 SAFJ 21 21 0 0.5 0 0 0 -0.446339 32 SAFJ 21 21 0 0.3 0 0 0 -0.446339 33 SAFJ 21 21 0 0.2 0 0 0 -0.446339 34 SAFJ 21 21 0 0.1 0 0 0 -0.446339 35 AFG 21 21 0 0 9E+02 0 0 -0.512788 35 FOUND SOLUTION: -0.512788 (NLP) in 29 sec. 36 AFH 21 21 0 0 0 1 0.12 -0.637485 37 AFH 22 22 0 0 8.9E+02 1 0.11 -0.62114 38 AFG 23 23 0 0 1.1E+03 0 0 -0.532868 38 FOUND SOLUTION: -0.532868 (NLP) in 58 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFH 23 23 0 0 0 1 0.086 -0.6188 40 AFH 24 24 0 0 9.6E+02 1 0.085 -0.605253 41 AFH 25 25 0 0 9.4E+02 1 0.077 -0.598766 42 AFG 26 26 0 0 8.4E+02 0 5.6E-17 -0.53727 42 FOUND SOLUTION: -0.53727 (NLP) in 99 sec. 43 AFH 26 26 0 0 0 1 0.053 -0.59059 44 AFG 27 27 0 0 7.2E+02 0 1.1E-16 -0.548182 44 FOUND SOLUTION: -0.548182 (NLP) in 130 sec. 45 AFH 27 27 0 0 0 1 0.038 -0.586351 46 AFH 28 28 0 0 9.8E+02 1 0.056 -0.586103 47 AFH 29 29 0 0 8.2E+02 1 0.052 -0.577446 48 AFG 30 30 0 0 8.7E+02 0 5.6E-17 -0.560008 48 FOUND SOLUTION: -0.560008 (NLP) in 193 sec. 49 AFH 30 30 0 0 0 1 0.016 -0.576415 50 AFH 31 31 0 0 6.8E+02 1 0.048 -0.571672 51 AFH 32 32 0 0 6.4E+02 1 0.025 -0.568696 52 AFH 33 33 0 0 7.6E+02 1 0.024 -0.568084 53 AFH 34 34 0 0 1E+03 1 0.034 -0.567968 54 AFH 35 35 0 0 8E+02 1 0.021 -0.567596 55 AFH 36 36 0 0 1.1E+03 1 0.043 -0.565968 56 AFH 37 37 0 0 8.2E+02 1 0.011 -0.563225 57 AFH 38 38 0 0 4.3E+02 1 0.012 -0.561357 58 AFH 39 39 0 0 1.1E+02 1 0.0033 -0.561132 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 40 40 0 0 6.1E+02 1 0.045 -0.560318 60 AFJ 41 41 0 0 5.3E+02 0 0 -0.560008 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.133_netmod_dol2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : -0.56000837001674119708 Max constraint (1) : 5.5511151231257827021e-17 Alternative solution : MIP Alt. objective value : -0.56000837001674119708 Max constraint (1) : 5.5511151231257827021e-17 Time used (seconds) : 408.46 Time limit (seconds) : 7200 Iterations used : 60 Iteration limit : -1 Function evaluations : 178 Gradient evaluations : 41 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 26/60 NLP solver calls : 61 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- netmod_dol2.gms(8253) 3 Mb --- Reading solution for model m *** Status: Normal completion --- Job netmod_dol2.gms Stop 09/14/12 15:43:39 elapsed 0:06:48.622 @04 1347630219 ----------------------------- Fr 14. Sep 15:43:39 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/netmod_kar1.gms =========== ----------------------------- Fr 14. Sep 15:41:00 CEST 2012 ----------------------------- @03 1347630060 --- Job netmod_kar1.gms Start 09/14/12 15:41:00 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- netmod_kar1.gms(1537) 2 Mb --- Starting execution: elapsed 0:00:00.017 --- netmod_kar1.gms(1531) 3 Mb --- Generating MINLP model m --- netmod_kar1.gms(1537) 5 Mb --- 667 rows 457 columns 1,849 non-zeroes --- 19 nl-code 4 nl-non-zeroes --- 136 discrete-columns --- netmod_kar1.gms(1537) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.026 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.134_netmod_kar1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1849 elements of which 0% are non-linear(NL) included in 667 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(0), =L=(1) The number of variables in NL elements are 4 from a total of 457 variables: Continuous(321), Binary(136), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=99 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 3.6E+02 0 1.7E-07 8.2016E-05 1 FOUND SOLUTION: 8.2016E-05 (NLP) in 1 sec. 2 SAFH 0 0 0 1 0 1 1E+13 -1E+13 3 SAFG 1 1 0 1 6 0 0 1.73082E-15 3 FOUND SOLUTION: 1.73082E-15 (NLP) in 1 sec. 4 SAFH 1 1 0 1 0 1 0.0011 -0.00110176 5 SAFJ 2 2 0 1 0 0 0 5.12821E+11 6 SAFJ 2 2 0 0.5 0 0 0 5.12821E+11 7 SAFJ 2 2 0 0.3 0 0 0 5.12821E+11 8 SAFJ 2 2 0 0.2 0 0 0 5.12821E+11 9 SAFJ 2 2 0 0.1 0 0 0 5.12821E+11 10 AFH 2 2 0 0 6.9E+02 1 2 -1.98828 11 AFH 3 3 0 0 6.9E+02 1 2 -1.98828 12 AFH 4 4 0 0 6.9E+02 1 2 -1.97546 13 AFG 5 5 0 0 4.9E+02 0 2.2E-16 -0.339744 13 FOUND SOLUTION: -0.339744 (NLP) in 3 sec. 14 AFH 5 5 0 0 0 1 0.74 -1.07802 15 AFG 6 6 0 0 3.5E+02 0 0 -0.359961 15 FOUND SOLUTION: -0.359961 (NLP) in 5 sec. 16 AFH 6 6 0 0 0 1 0.26 -0.621795 17 AFG 7 7 0 0 4.2E+02 0 1.1E-16 -0.371795 17 FOUND SOLUTION: -0.371795 (NLP) in 5 sec. 18 AFH 7 7 0 0 0 1 0.25 -0.621795 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 8 8 0 0 3.3E+02 1 0.25 -0.621795 20 AFH 9 9 0 0 3.3E+02 1 0.26 -0.621795 21 AFH 10 10 0 0 3.3E+02 1 0.25 -0.621795 22 AFH 11 11 0 0 4.2E+02 1 0.26 -0.621795 23 AFH 12 12 0 0 3.6E+02 1 0.17 -0.519231 24 AFH 13 13 0 0 4.4E+02 1 0.17 -0.511834 25 AFG 14 14 0 0 4.4E+02 0 0 -0.38141 25 FOUND SOLUTION: -0.38141 (NLP) in 7 sec. 26 AFH 14 14 0 0 0 1 0.13 -0.50641 27 AFH 15 15 0 0 4.1E+02 1 0.13 -0.50641 28 AFH 16 16 0 0 3.4E+02 1 0.12 -0.498767 29 AFH 17 17 0 0 1.5E+02 1 0.12 -0.498767 30 AFG 18 18 0 0 3.9E+02 0 0 -0.391519 30 FOUND SOLUTION: -0.391519 (NLP) in 10 sec. 31 AFH 18 18 0 0 0 1 0.1 -0.49359 32 AFH 19 19 0 0 3.3E+02 1 0.11 -0.490631 33 AFH 20 20 0 0 3.7E+02 1 0.11 -0.490631 34 AFH 21 21 0 0 1.5E+02 1 0.11 -0.490631 35 AFH 22 22 0 0 4.1E+02 1 0.11 -0.490631 36 AFG 23 23 0 0 4.2E+02 0 2.2E-16 -0.417242 36 FOUND SOLUTION: -0.417242 (NLP) in 14 sec. 37 AFH 23 23 0 0 0 1 0.065 -0.482742 38 AFH 24 24 0 0 2.1E+02 1 0.065 -0.482742 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 25 25 0 0 3.1E+02 0 0 -0.418803 39 FOUND SOLUTION: -0.418803 (NLP) in 16 sec. 40 AFH 25 25 0 0 0 1 0.062 -0.480769 41 AFH 26 26 0 0 4E+02 1 0.059 -0.478057 42 AFH 27 27 0 0 2.5E+02 1 0.051 -0.467949 43 AFG 28 28 0 0 2.3E+02 0 0 -0.41979 43 FOUND SOLUTION: -0.41979 (NLP) in 18 sec. 44 AFH 28 28 0 0 0 1 0.046 -0.465483 45 AFH 29 29 0 0 1.3E+02 1 0.033 -0.43524 46 AFH 30 30 0 0 3.9E+02 1 0.025 -0.430966 47 AFH 31 31 0 0 3.2E+02 1 0.025 -0.430966 48 AFH 32 32 0 0 2.2E+02 1 0.024 -0.429734 49 AFH 33 33 0 0 3.2E+02 1 0.024 -0.429734 50 AFH 34 34 0 0 2.4E+02 1 0.033 -0.429487 51 AFH 35 35 0 0 2.9E+02 1 0.047 -0.428008 52 AFH 36 36 0 0 3.1E+02 1 0.022 -0.428008 53 AFH 37 37 0 0 1.9E+02 1 0.0082 -0.428008 54 AFH 38 38 0 0 4E+02 1 0.0082 -0.428008 55 AFH 39 39 0 0 2.3E+02 1 0.026 -0.427761 56 AFH 40 40 0 0 2.4E+02 1 0.026 -0.427761 57 AFH 41 41 0 0 2.6E+02 1 0.021 -0.427022 58 AFH 42 42 0 0 46 1 0.0082 -0.427022 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 43 43 0 0 4E+02 1 0.006 -0.424803 60 AFH 44 44 0 0 2.1E+02 1 0.006 -0.424803 61 AFH 45 45 0 0 4E+02 1 0.006 -0.424803 62 AFH 46 46 0 0 2.7E+02 1 0.0053 -0.424063 63 AFH 47 47 0 0 4E+02 1 0.0053 -0.424063 64 AFH 48 48 0 0 2.5E+02 1 0.0053 -0.424063 65 AFH 49 49 0 0 2.8E+02 1 0.018 -0.423817 66 AFH 50 50 0 0 3.4E+02 1 0.021 -0.423077 67 AFH 51 51 0 0 5.5E+02 1 0.021 -0.423077 68 AFH 52 52 0 0 66 1 0.021 -0.423077 69 AFH 53 53 0 0 5.5E+02 1 0.021 -0.423077 70 AFH 54 54 0 0 4E+02 1 0.021 -0.423077 71 AFH 55 55 0 0 4.2E+02 1 0.021 -0.423077 72 AFH 56 56 0 0 5.5E+02 1 0.021 -0.423077 73 AFH 57 57 0 0 4E+02 1 0.021 -0.423077 74 AFH 58 58 0 0 5.5E+02 1 0.021 -0.423077 75 AFH 59 59 0 0 3E+02 1 0.021 -0.423077 76 AFH 60 60 0 0 4E+02 1 0.024 -0.423077 77 AFH 61 61 0 0 3.6E+02 1 0.021 -0.423077 78 AFH 62 62 0 0 5.5E+02 1 0.021 -0.423077 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 63 63 0 0 2.7E+02 1 0.021 -0.423077 80 AFH 64 64 0 0 2.3E+02 1 0.021 -0.423077 81 AFH 65 65 0 0 2.9E+02 1 0.004 -0.42283 82 AFH 66 66 0 0 2.1E+02 1 0.004 -0.42283 83 AFH 67 67 0 0 4E+02 1 0.004 -0.42283 84 AFH 68 68 0 0 1.9E+02 1 0.004 -0.42283 85 AFH 69 69 0 0 3.1E+02 1 0.004 -0.42283 86 AFH 70 70 0 0 4E+02 1 0.004 -0.42283 87 AFH 71 71 0 0 2.1E+02 1 0.003 -0.421762 88 AFH 72 72 0 0 2.8E+02 1 0.003 -0.421762 89 AFH 73 73 0 0 2.1E+02 1 0.003 -0.421762 90 AFH 74 74 0 0 2.6E+02 1 0.0016 -0.421351 91 AFH 75 75 0 0 4E+02 1 0.0016 -0.421351 92 AFH 76 76 0 0 2.4E+02 1 0.0016 -0.421351 93 AFH 77 77 0 0 2.5E+02 1 0.0053 -0.42094 94 AFH 78 78 0 0 3E+02 1 0.0053 -0.42094 95 AFH 79 79 0 0 2.4E+02 1 0.0053 -0.42094 96 AFH 80 80 0 0 4.2E+02 1 0.00033 -0.420118 97 AFH 81 81 0 0 4E+02 1 0.00033 -0.420118 98 AFH 82 82 0 0 2.6E+02 1 0.00033 -0.420118 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 83 83 0 0 2.2E+02 1 0.00033 -0.420118 100 AFH 84 84 0 0 4E+02 1 0.00033 -0.420118 101 AFH 85 85 0 0 4E+02 1 0.00033 -0.420118 102 AFH 86 86 0 0 2.6E+02 1 0.00033 -0.420118 103 AFH 87 87 0 0 2E+02 1 0.00033 -0.420118 104 AFH 88 88 0 0 3E+02 1 0.00033 -0.420118 105 AFH 89 89 0 0 4E+02 1 0.00033 -0.420118 106 AFH 90 90 0 0 3E+02 1 0.00033 -0.420118 107 AFH 91 91 0 0 2E+02 1 0.00033 -0.420118 108 AFH 92 92 0 0 2.6E+02 1 0.00033 -0.420118 109 AFH 93 93 0 0 2.8E+02 1 0.00033 -0.420118 110 AFH 94 94 0 0 4E+02 1 0.00033 -0.420118 111 AFH 95 95 0 0 2E+02 1 0.00033 -0.420118 112 AFH 96 96 0 0 1.8E+02 1 0.00033 -0.420118 113 AFH 97 97 0 0 2.6E+02 1 0.00033 -0.420118 114 AFJ 98 98 0 0 2E+02 0 0 -0.41979 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.134_netmod_kar1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : -0.4197896120973031997 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : -0.4197896120973031997 Max constraint (1) : 0 Time used (seconds) : 81.96 Time limit (seconds) : 7200 Iterations used : 114 Iteration limit : -1 Function evaluations : 152 Gradient evaluations : 98 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.5 % Optimal/total MIPs : 105/114 NLP solver calls : 115 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- netmod_kar1.gms(1537) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job netmod_kar1.gms Stop 09/14/12 15:42:22 elapsed 0:01:22.020 @04 1347630142 ----------------------------- Fr 14. Sep 15:42:22 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/netmod_kar2.gms =========== ----------------------------- Fr 14. Sep 15:41:38 CEST 2012 ----------------------------- @03 1347630098 --- Job netmod_kar2.gms Start 09/14/12 15:41:38 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- netmod_kar2.gms(1537) 2 Mb --- Starting execution: elapsed 0:00:00.017 --- netmod_kar2.gms(1531) 3 Mb --- Generating MINLP model m --- netmod_kar2.gms(1537) 5 Mb --- 667 rows 457 columns 1,849 non-zeroes --- 19 nl-code 4 nl-non-zeroes --- 136 discrete-columns --- netmod_kar2.gms(1537) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.027 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.135_netmod_kar2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1849 elements of which 0% are non-linear(NL) included in 667 constraints of which 0% are NL The NL constraint signs: =E=(0), =G=(0), =L=(1) The number of variables in NL elements are 4 from a total of 457 variables: Continuous(321), Binary(136), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=99 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: Modified and no violating constraints 0 0 0 0 1 0 0 0 NA 1 SAFG 0 0 0 1 3.6E+02 0 1.7E-07 8.2016E-05 1 FOUND SOLUTION: 8.2016E-05 (NLP) in 1 sec. 2 SAFH 0 0 0 1 0 1 1E+13 -1E+13 3 SAFG 1 1 0 1 6 0 0 1.73082E-15 3 FOUND SOLUTION: 1.73082E-15 (NLP) in 1 sec. 4 SAFH 1 1 0 1 0 1 0.0011 -0.00110176 5 SAFJ 2 2 0 1 0 0 0 5.12821E+11 6 SAFJ 2 2 0 0.5 0 0 0 5.12821E+11 7 SAFJ 2 2 0 0.3 0 0 0 5.12821E+11 8 SAFJ 2 2 0 0.2 0 0 0 5.12821E+11 9 SAFJ 2 2 0 0.1 0 0 0 5.12821E+11 10 AFH 2 2 0 0 6.9E+02 1 2 -1.98828 11 AFH 3 3 0 0 6.9E+02 1 2 -1.98828 12 AFH 4 4 0 0 6.9E+02 1 2 -1.97546 13 AFG 5 5 0 0 4.9E+02 0 2.2E-16 -0.339744 13 FOUND SOLUTION: -0.339744 (NLP) in 3 sec. 14 AFH 5 5 0 0 0 1 0.74 -1.07802 15 AFG 6 6 0 0 3.5E+02 0 0 -0.359961 15 FOUND SOLUTION: -0.359961 (NLP) in 5 sec. 16 AFH 6 6 0 0 0 1 0.26 -0.621795 17 AFG 7 7 0 0 4.2E+02 0 1.1E-16 -0.371795 17 FOUND SOLUTION: -0.371795 (NLP) in 5 sec. 18 AFH 7 7 0 0 0 1 0.25 -0.621795 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 AFH 8 8 0 0 3.3E+02 1 0.25 -0.621795 20 AFH 9 9 0 0 3.3E+02 1 0.26 -0.621795 21 AFH 10 10 0 0 3.3E+02 1 0.25 -0.621795 22 AFH 11 11 0 0 4.2E+02 1 0.26 -0.621795 23 AFH 12 12 0 0 3.6E+02 1 0.17 -0.519231 24 AFH 13 13 0 0 4.4E+02 1 0.17 -0.511834 25 AFG 14 14 0 0 4.4E+02 0 0 -0.38141 25 FOUND SOLUTION: -0.38141 (NLP) in 7 sec. 26 AFH 14 14 0 0 0 1 0.13 -0.50641 27 AFH 15 15 0 0 4.1E+02 1 0.13 -0.50641 28 AFH 16 16 0 0 3.4E+02 1 0.12 -0.498767 29 AFH 17 17 0 0 1.5E+02 1 0.12 -0.498767 30 AFG 18 18 0 0 3.9E+02 0 0 -0.391519 30 FOUND SOLUTION: -0.391519 (NLP) in 10 sec. 31 AFH 18 18 0 0 0 1 0.1 -0.49359 32 AFH 19 19 0 0 3.3E+02 1 0.11 -0.490631 33 AFH 20 20 0 0 3.7E+02 1 0.11 -0.490631 34 AFH 21 21 0 0 1.5E+02 1 0.11 -0.490631 35 AFH 22 22 0 0 4.1E+02 1 0.11 -0.490631 36 AFG 23 23 0 0 4.2E+02 0 2.2E-16 -0.417242 36 FOUND SOLUTION: -0.417242 (NLP) in 14 sec. 37 AFH 23 23 0 0 0 1 0.065 -0.482742 38 AFH 24 24 0 0 2.1E+02 1 0.065 -0.482742 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 AFG 25 25 0 0 3.1E+02 0 0 -0.418803 39 FOUND SOLUTION: -0.418803 (NLP) in 16 sec. 40 AFH 25 25 0 0 0 1 0.062 -0.480769 41 AFH 26 26 0 0 4E+02 1 0.059 -0.478057 42 AFH 27 27 0 0 2.5E+02 1 0.051 -0.467949 43 AFG 28 28 0 0 2.3E+02 0 0 -0.41979 43 FOUND SOLUTION: -0.41979 (NLP) in 18 sec. 44 AFH 28 28 0 0 0 1 0.046 -0.465483 45 AFH 29 29 0 0 1.3E+02 1 0.033 -0.43524 46 AFH 30 30 0 0 3.9E+02 1 0.025 -0.430966 47 AFH 31 31 0 0 3.2E+02 1 0.025 -0.430966 48 AFH 32 32 0 0 2.2E+02 1 0.024 -0.429734 49 AFH 33 33 0 0 3.2E+02 1 0.024 -0.429734 50 AFH 34 34 0 0 2.4E+02 1 0.033 -0.429487 51 AFH 35 35 0 0 2.9E+02 1 0.047 -0.428008 52 AFH 36 36 0 0 3.1E+02 1 0.022 -0.428008 53 AFH 37 37 0 0 1.9E+02 1 0.0082 -0.428008 54 AFH 38 38 0 0 4E+02 1 0.0082 -0.428008 55 AFH 39 39 0 0 2.3E+02 1 0.026 -0.427761 56 AFH 40 40 0 0 2.4E+02 1 0.026 -0.427761 57 AFH 41 41 0 0 2.6E+02 1 0.021 -0.427022 58 AFH 42 42 0 0 46 1 0.0082 -0.427022 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 43 43 0 0 4E+02 1 0.006 -0.424803 60 AFH 44 44 0 0 2.1E+02 1 0.006 -0.424803 61 AFH 45 45 0 0 4E+02 1 0.006 -0.424803 62 AFH 46 46 0 0 2.7E+02 1 0.0053 -0.424063 63 AFH 47 47 0 0 4E+02 1 0.0053 -0.424063 64 AFH 48 48 0 0 2.5E+02 1 0.0053 -0.424063 65 AFH 49 49 0 0 2.8E+02 1 0.018 -0.423817 66 AFH 50 50 0 0 3.4E+02 1 0.021 -0.423077 67 AFH 51 51 0 0 5.5E+02 1 0.021 -0.423077 68 AFH 52 52 0 0 66 1 0.021 -0.423077 69 AFH 53 53 0 0 5.5E+02 1 0.021 -0.423077 70 AFH 54 54 0 0 4E+02 1 0.021 -0.423077 71 AFH 55 55 0 0 4.2E+02 1 0.021 -0.423077 72 AFH 56 56 0 0 5.5E+02 1 0.021 -0.423077 73 AFH 57 57 0 0 4E+02 1 0.021 -0.423077 74 AFH 58 58 0 0 5.5E+02 1 0.021 -0.423077 75 AFH 59 59 0 0 3E+02 1 0.021 -0.423077 76 AFH 60 60 0 0 4E+02 1 0.024 -0.423077 77 AFH 61 61 0 0 3.6E+02 1 0.021 -0.423077 78 AFH 62 62 0 0 5.5E+02 1 0.021 -0.423077 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 63 63 0 0 2.7E+02 1 0.021 -0.423077 80 AFH 64 64 0 0 2.3E+02 1 0.021 -0.423077 81 AFH 65 65 0 0 2.9E+02 1 0.004 -0.42283 82 AFH 66 66 0 0 2.1E+02 1 0.004 -0.42283 83 AFH 67 67 0 0 4E+02 1 0.004 -0.42283 84 AFH 68 68 0 0 1.9E+02 1 0.004 -0.42283 85 AFH 69 69 0 0 3.1E+02 1 0.004 -0.42283 86 AFH 70 70 0 0 4E+02 1 0.004 -0.42283 87 AFH 71 71 0 0 2.1E+02 1 0.003 -0.421762 88 AFH 72 72 0 0 2.8E+02 1 0.003 -0.421762 89 AFH 73 73 0 0 2.1E+02 1 0.003 -0.421762 90 AFH 74 74 0 0 2.6E+02 1 0.0016 -0.421351 91 AFH 75 75 0 0 4E+02 1 0.0016 -0.421351 92 AFH 76 76 0 0 2.4E+02 1 0.0016 -0.421351 93 AFH 77 77 0 0 2.5E+02 1 0.0053 -0.42094 94 AFH 78 78 0 0 3E+02 1 0.0053 -0.42094 95 AFH 79 79 0 0 2.4E+02 1 0.0053 -0.42094 96 AFH 80 80 0 0 4.2E+02 1 0.00033 -0.420118 97 AFH 81 81 0 0 4E+02 1 0.00033 -0.420118 98 AFH 82 82 0 0 2.6E+02 1 0.00033 -0.420118 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 83 83 0 0 2.2E+02 1 0.00033 -0.420118 100 AFH 84 84 0 0 4E+02 1 0.00033 -0.420118 101 AFH 85 85 0 0 4E+02 1 0.00033 -0.420118 102 AFH 86 86 0 0 2.6E+02 1 0.00033 -0.420118 103 AFH 87 87 0 0 2E+02 1 0.00033 -0.420118 104 AFH 88 88 0 0 3E+02 1 0.00033 -0.420118 105 AFH 89 89 0 0 4E+02 1 0.00033 -0.420118 106 AFH 90 90 0 0 3E+02 1 0.00033 -0.420118 107 AFH 91 91 0 0 2E+02 1 0.00033 -0.420118 108 AFH 92 92 0 0 2.6E+02 1 0.00033 -0.420118 109 AFH 93 93 0 0 2.8E+02 1 0.00033 -0.420118 110 AFH 94 94 0 0 4E+02 1 0.00033 -0.420118 111 AFH 95 95 0 0 2E+02 1 0.00033 -0.420118 112 AFH 96 96 0 0 1.8E+02 1 0.00033 -0.420118 113 AFH 97 97 0 0 2.6E+02 1 0.00033 -0.420118 114 AFJ 98 98 0 0 2E+02 0 0 -0.41979 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.135_netmod_kar2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : -0.4197896120973031997 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : -0.4197896120973031997 Max constraint (1) : 0 Time used (seconds) : 82.53 Time limit (seconds) : 7200 Iterations used : 114 Iteration limit : -1 Function evaluations : 152 Gradient evaluations : 98 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.5 % MIP time usage : 99.5 % Optimal/total MIPs : 105/114 NLP solver calls : 115 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- netmod_kar2.gms(1537) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job netmod_kar2.gms Stop 09/14/12 15:43:00 elapsed 0:01:22.586 @04 1347630180 ----------------------------- Fr 14. Sep 15:43:00 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/no7_ar2_1.gms =========== ----------------------------- Fr 14. Sep 15:42:22 CEST 2012 ----------------------------- @03 1347630142 --- Job no7_ar2_1.gms Start 09/14/12 15:42:22 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- no7_ar2_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.032 --- no7_ar2_1.gms(663) 3 Mb --- Generating MINLP model m --- no7_ar2_1.gms(668) 5 Mb --- 270 rows 113 columns 1,061 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- no7_ar2_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.039 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.136_no7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1061 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 3.9 NA 1 SAFH 8 1 0 1 2.4E+14 10 0.2 156.065 2 SAFH 14 2 0 1 87 14 0.094 149.915 3 SAFH 22 3 0 1 48 14 0.21 139.735 4 SAFG 28 4 0 1 2.4E+14 0 0 179.398 4 FOUND SOLUTION: 179.398 (NLP) in 1 sec. 5 SAFH 28 4 0 1 2.4E+14 14 0.17 178.121 6 SAFH 30 5 0 1 0.95 14 0.024 179.246 7 SAFH 32 6 0 1 0.32 14 0.00058 179.391 8 SAFH 33 7 0 1 0.004 12 0.00058 179.394 9 SAFH 34 8 0 1 0.0023 10 0.00017 179.396 10 SAFH 35 9 0 1 0.0026 8 0.00017 179.397 11 SAFH 36 10 0 1 0.0024 6 7.7E-05 179.397 12 SAFH 37 11 0 1 0.00081 4 2.5E-05 179.398 13 SAFH 38 12 0 1 0.00033 2 1E-05 179.398 14 SAFJL 39 13 0 1 0.00019 0 1.2E-08 179.398 15 SAFH 31 12 0 0.5 1.3E+02 14 0.14 117.45 16 SAFH 34 13 0 0.5 1.6E+02 14 0.034 125.855 17 SAFJ 37 14 0 0.5 1.4E+02 0 1.2E-08 179.398 18 SAFG 37 14 0 0.3 2.4E+14 0 8.9E-16 129.57 18 FOUND SOLUTION: 129.57 (NLP) in 5 sec. Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAH 37 14 0 0.3 2.4E+14 14 0.028 129.174 20 SAFG 40 15 0 0.3 2.4E+14 0 0 121.369 20 FOUND SOLUTION: 121.369 (NLP) in 10 sec. 21 SAFH 40 15 0 0.3 2.4E+14 14 0.013 121.237 22 SAFG 43 16 0 0.3 2.4E+14 0 8.9E-16 119.692 22 FOUND SOLUTION: 119.692 (NLP) in 15 sec. 23 SAFH 43 16 0 0.3 2.4E+14 12 0.0047 119.651 24 SAFH 45 17 0 0.3 1E+02 9 0.0005 127.9 25 SAFG 46 18 0 0.3 2.4E+14 0 8.9E-16 117.993 25 FOUND SOLUTION: 117.993 (NLP) in 19 sec. 26 SAFH 46 18 0 0.3 2.4E+14 14 0.028 117.315 27 SAFG 48 19 0 0.3 2.4E+14 0 0 112.938 27 FOUND SOLUTION: 112.938 (NLP) in 22 sec. 28 SAFH 48 19 0 0.3 2.4E+14 10 0.0051 112.911 29 SAFH 50 20 0 0.3 1.3E+02 14 0.048 134.048 30 SAFH 52 21 0 0.3 1.1E+02 10 0.002 116.744 31 SAFH 57 22 0 0.3 1.1E+02 4 0.00065 132.23 32 SAFH 58 23 0 0.3 1.1E+02 12 0.015 127.998 33 SAFH 62 24 0 0.3 1.4E+02 14 0.031 118.466 34 SAFH 64 25 0 0.3 68 14 0.014 120.318 35 SAFH 67 26 0 0.3 62 12 0.0018 114.92 36 SAFH 71 27 0 0.3 1.1E+02 2 2E-06 132.233 37 SAFH 72 28 0 0.3 1.3E+02 14 0.019 157.175 38 SAFH 76 29 0 0.3 89 14 0.0057 118.631 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 80 30 0 0.3 74 12 0.0088 119.902 40 SAFH 84 31 0 0.3 1.2E+02 8 3.6E-06 140.254 41 SAFH 85 32 0 0.3 1.2E+02 10 4.6E-05 127.371 42 SAFH 86 33 0 0.3 0.00024 8 1.3E-05 127.371 43 SAFH 87 34 0 0.3 1.3E+02 5 2.4E-06 121.362 44 SAFH 88 35 0 0.3 81 4 5.9E-06 120.444 45 SAFJ 89 36 0 0.3 1.3E+02 0 1.8E-08 137.93 46 SAFJ 89 36 0 0.2 0 0 1.8E-08 137.93 47 SAFJ 89 36 0 0.1 0 0 1.8E-08 137.93 48 AFG 89 36 0 0 2.4E+14 0 4E-15 107.815 48 FOUND SOLUTION: 107.815 (NLP) in 66 sec. 49 AFH 89 36 0 0 2.4E+14 12 0.0021 107.765 50 AFH 93 37 0 0 1.3 14 0.00085 107.801 51 AFH 94 38 0 0 3.1 14 0.0004 107.811 52 AFH 95 39 0 0 2 12 1.8E-05 107.814 53 AFH 96 40 0 0 4 10 1.7E-05 107.814 54 AFH 97 41 0 0 4 8 1.7E-05 107.815 55 AFH 98 42 0 0 0.0015 6 1.6E-05 107.815 56 AFH 99 43 0 0 0.0013 4 1.3E-05 107.815 57 AFH 100 44 0 0 1 2 1E-05 107.815 58 AFJ 101 45 0 0 3 0 9.9E-07 107.815 58 FOUND SOLUTION: 107.815 in 132 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.136_no7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 107.81530830743159299 Max constraint (12) : 3.9968028886505635455e-15 Alternative solution : MIP Alt. objective value : 107.81529925262573499 Max constraint (4) : 9.8610140941701729389e-07 Time used (seconds) : 131.12 Time limit (seconds) : 7200 Iterations used : 58 Iteration limit : -1 Function evaluations : 3556 Gradient evaluations : 109 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 11/58 NLP solver calls : 58 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- no7_ar2_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job no7_ar2_1.gms Stop 09/14/12 15:44:33 elapsed 0:02:11.184 @04 1347630273 ----------------------------- Fr 14. Sep 15:44:33 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/no7_ar25_1.gms =========== ----------------------------- Fr 14. Sep 15:43:00 CEST 2012 ----------------------------- @03 1347630180 --- Job no7_ar25_1.gms Start 09/14/12 15:43:00 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- no7_ar25_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- no7_ar25_1.gms(663) 3 Mb --- Generating MINLP model m --- no7_ar25_1.gms(668) 5 Mb --- 270 rows 113 columns 1,061 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- no7_ar25_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.137_no7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1061 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 4.9 NA 1 SAFH 14 1 0 1 2.4E+14 12 0.67 128.652 2 SAFH 19 2 0 1 1.2E+02 14 0.47 144.47 3 SAFH 25 3 0 1 1.3E+02 12 0.67 148.001 4 SAFG 27 4 0 1 2.4E+14 0 0 129.201 4 FOUND SOLUTION: 129.201 (NLP) in 2 sec. 5 SAFH 27 4 0 1 2.4E+14 12 0.086 128.538 6 SAFH 31 5 0 1 96 12 0.01 138.77 7 SAFH 35 6 0 1 1.2E+02 10 0.098 148.425 8 SAFG 37 7 0 1 2.4E+14 0 8.9E-16 128.268 8 FOUND SOLUTION: 128.268 (NLP) in 2 sec. 9 SAFH 37 7 0 1 2.4E+14 14 0.15 126.504 10 SAFG 39 8 0 1 2.4E+14 0 7.8E-10 126.807 10 FOUND SOLUTION: 126.807 (NLP) in 2 sec. 11 SAFH 39 8 0 1 2.4E+14 12 0.0039 126.786 12 SAFH 41 9 0 1 1E+02 12 0.011 150.521 13 SAFG 43 10 0 1 2.4E+14 0 7.4E-11 123.873 13 FOUND SOLUTION: 123.873 (NLP) in 3 sec. 14 SAFH 43 10 0 1 2.4E+14 8 0.0011 123.866 15 SAFH 44 11 0 1 1.5E+02 12 0.037 127.409 16 SAFH 51 12 0 1 1.2E+02 12 0.00051 131.019 17 SAFH 52 13 0 1 1.3E+02 14 0.04 135.075 18 SAFH 57 14 0 1 1.3E+02 14 0.0033 150.912 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 64 15 0 1 1.3E+02 14 0.085 126.447 20 SAFH 67 16 0 1 1.3E+02 14 0.021 132.384 21 SAFH 69 17 0 1 91 14 0.098 147.714 22 SAFH 73 18 0 1 1.3E+02 14 0.036 139.29 23 SAFH 74 19 0 1 1.3E+02 12 0.0026 152.168 24 SAFH 77 20 0 1 1.3E+02 12 0.027 140.313 25 SAFH 79 21 0 1 1.2E+02 12 0.048 160.839 26 SAFH 81 22 0 1 1.6E+02 14 0.0058 127.364 27 SAFH 84 23 0 1 1.1E+02 14 0.11 125.799 28 SAFH 86 24 0 1 1.1E+02 12 0.0054 139.47 29 SAFH 88 25 0 1 1.1E+02 11 0.0086 137.737 30 SAFH 90 26 0 1 1.1E+02 14 0.0082 147.72 31 SAFH 96 27 0 1 92 7 0.0018 126.707 32 SAFH 98 28 0 1 58 7 0.026 126.153 33 SAFH 100 29 0 1 1.4E+02 11 0.032 139.317 34 SAFH 102 30 0 1 94 12 0.0026 132.268 35 SAFH 105 31 0 1 1.4E+02 14 0.031 136.166 36 SAFH 107 32 0 1 65 12 0.0051 134.398 37 SAFH 110 33 0 1 1.1E+02 14 0.0024 152.287 38 SAFH 115 34 0 1 1.4E+02 14 0.031 149.685 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 117 35 0 1 1.3E+02 5 3.4E-05 132.681 40 SAFH 118 36 0 1 1.3E+02 12 0.0089 135.508 41 SAFH 121 37 0 1 1.3E+02 3 1.5E-06 142.219 42 SAFH 122 38 0 1 1.3E+02 12 0.00072 135.56 43 SAFH 123 39 0 1 1.3E+02 14 0.013 137.18 44 SAFH 124 40 0 1 1.1E+02 14 0.005 159.087 45 SAFH 128 41 0 1 1.5E+02 10 0.16 132.629 46 SAFH 130 42 0 1 1.2E+02 12 0.0036 131.231 47 SAFH 132 43 0 1 31 14 0.0015 147.697 48 SAFH 134 44 0 1 1.3E+02 12 0.00087 136.422 49 SAFH 135 45 0 1 1.1E+02 6 0.00088 131.258 50 SAFH 136 46 0 1 98 14 0.0062 151.234 51 SAFH 138 47 0 1 1.2E+02 10 0.00054 138.667 52 SAFH 139 48 0 1 1.1E+02 12 0.002 144.616 53 SAFH 143 49 0 1 1.3E+02 10 0.00054 133.002 54 SAFH 144 50 0 1 1.4E+02 9 0.00074 124.207 55 SAFH 145 51 0 1 1E+02 10 0.00037 161.368 56 SAFH 146 52 0 1 1.4E+02 6 0.00057 147.127 57 SAFH 147 53 0 1 1.3E+02 10 0.00012 145.388 58 SAFH 148 54 0 1 1.4E+02 8 1.3E-05 148.736 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 149 55 0 1 1.6E+02 12 0.0013 144.271 60 SAFH 150 56 0 1 1.4E+02 9 2.6E-05 167.092 61 SAFH 151 57 0 1 1E+02 6 1.2E-05 132.667 62 SAFH 152 58 0 1 5.3E-05 4 3.4E-06 132.667 63 SAFH 153 59 0 1 2.5E-05 2 2.1E-06 132.667 64 SAFH 154 60 0 1 74 6 6E-06 129.739 65 SAFJL 155 61 0 1 84 0 2.9E-08 139.81 66 SAFH 141 60 0 0.5 1.1E+02 3 1.5E-06 126.277 67 SAFH 142 61 0 0.5 1.2E+02 2 9E-06 124.232 68 SAFJ 143 62 0 0.5 1 0 8E-07 124.232 69 SAFJ 143 62 0 0.3 0 0 8E-07 124.232 70 SAFJ 143 62 0 0.2 0 0 8E-07 124.232 71 SAFJ 143 62 0 0.1 0 0 8E-07 124.232 72 AFG 143 62 0 0 2.4E+14 0 8.9E-16 107.815 72 FOUND SOLUTION: 107.815 (NLP) in 47 sec. 73 AFH 143 62 0 0 2.4E+14 14 0.084 107.415 74 AFH 145 63 0 0 4.1 14 0.025 107.641 75 AFH 147 64 0 0 6.4 14 0.0029 107.757 76 AFH 149 65 0 0 1.2 14 0.0011 107.782 77 AFH 150 66 0 0 3.1 14 0.00073 107.79 78 AFH 151 67 0 0 2 12 0.00072 107.797 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 152 68 0 0 3.1 10 0.0005 107.803 80 AFH 153 69 0 0 2 8 0.00036 107.809 81 AFH 154 70 0 0 1 8 0.00018 107.813 82 AFH 155 71 0 0 2 6 4.5E-05 107.815 83 AFH 156 72 0 0 2 4 3E-06 107.815 84 AFH 157 73 0 0 3 2 2.3E-06 107.815 85 AFJ 158 74 0 0 1 0 7.1E-07 107.815 85 FOUND SOLUTION: 107.815 in 222 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.137_no7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 107.81530830743169247 Max constraint (12) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 107.81528645077509054 Max constraint (2) : 7.1217211328189478081e-07 Time used (seconds) : 221.19 Time limit (seconds) : 7200 Iterations used : 85 Iteration limit : -1 Function evaluations : 1946 Gradient evaluations : 172 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 14/85 NLP solver calls : 86 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- no7_ar25_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job no7_ar25_1.gms Stop 09/14/12 15:46:42 elapsed 0:03:41.226 @04 1347630402 ----------------------------- Fr 14. Sep 15:46:42 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/no7_ar3_1.gms =========== ----------------------------- Fr 14. Sep 15:43:39 CEST 2012 ----------------------------- @03 1347630219 --- Job no7_ar3_1.gms Start 09/14/12 15:43:39 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- no7_ar3_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- no7_ar3_1.gms(663) 3 Mb --- Generating MINLP model m --- no7_ar3_1.gms(668) 5 Mb --- 270 rows 113 columns 1,061 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- no7_ar3_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.138_no7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1061 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 5.7 NA 1 SAFH 14 1 0 1 2.4E+14 14 0.97 123.937 2 SAFH 19 2 0 1 1.2E+02 14 1.1 119.829 3 SAFH 21 3 0 1 1.6E+02 12 0.61 144.82 4 SAFG 26 4 0 1 2.4E+14 0 6E-13 153.513 4 FOUND SOLUTION: 153.513 (NLP) in 1 sec. 5 SAH 26 4 0 1 2.4E+14 12 0.41 148.353 6 SAFH 28 5 0 1 83 14 0.2 126.817 7 SAFG 31 6 0 1 2.4E+14 0 1.3E-10 138.899 7 FOUND SOLUTION: 138.899 (NLP) in 1 sec. 8 SAFH 31 6 0 1 2.4E+14 14 0.042 138.75 9 SAFH 33 7 0 1 1.3E+02 14 0.053 143.889 10 SAFG 35 8 0 1 2.4E+14 0 4.4E-16 129.523 10 FOUND SOLUTION: 129.523 (NLP) in 2 sec. 11 SAFH 35 8 0 1 2.4E+14 14 0.04 129.278 12 SAFH 36 9 0 1 93 12 0.052 149.819 13 SAFH 39 10 0 1 1.6E+02 12 0.22 151.135 14 SAFH 41 11 0 1 1.3E+02 14 0.027 156.21 15 SAFG 44 12 0 1 2.4E+14 0 0 124.115 15 FOUND SOLUTION: 124.115 (NLP) in 2 sec. 16 SAFH 44 12 0 1 2.4E+14 12 0.074 123.561 17 SAFH 47 13 0 1 1.1E+02 14 0.059 132.573 18 SAFH 49 14 0 1 1.1E+02 8 0.0066 153.898 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 51 15 0 1 1.3E+02 14 0.0074 147.853 20 SAFH 53 16 0 1 1.3E+02 12 0.037 125.224 21 SAFH 54 17 0 1 1.5E+02 14 0.087 162.08 22 SAFH 56 18 0 1 1.3E+02 14 0.03 136.311 23 SAFH 59 19 0 1 1.5E+02 14 0.03 150.045 24 SAFH 61 20 0 1 99 8 0.04 123.459 25 SAFH 62 21 0 1 1.6E+02 14 0.038 155.515 26 SAFH 64 22 0 1 0.7 14 0.0035 155.789 27 SAFG 67 23 0 1 2.4E+14 0 0 114.86 27 FOUND SOLUTION: 114.86 (NLP) in 4 sec. 28 SAFH 67 23 0 1 2.4E+14 14 0.049 114.592 29 SAFH 69 24 0 1 1.1E+02 6 0.0019 121.212 30 SAFH 73 25 0 1 25 10 0.0066 121.397 31 SAFH 78 26 0 1 65 14 0.023 133.092 32 SAFH 81 27 0 1 1.6E+02 12 0.022 127.227 33 SAFH 83 28 0 1 93 12 0.0082 172.19 34 SAFH 86 29 0 1 1.5E+02 14 0.017 160.823 35 SAFH 89 30 0 1 1.1E+02 10 0.051 122.669 36 SAFH 90 31 0 1 1.3E+02 12 0.075 161.773 37 SAFH 94 32 0 1 1.4E+02 14 0.041 159.19 38 SAFH 96 33 0 1 1.5E+02 14 0.013 152.957 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 99 34 0 1 1.4E+02 12 0.00075 131.019 40 SAFH 100 35 0 1 1.3E+02 14 0.015 132.422 41 SAFH 103 36 0 1 1.5E+02 14 0.0059 145.949 42 SAFH 105 37 0 1 1.2E+02 12 0.017 134.898 43 SAFH 112 38 0 1 1.5E+02 14 0.011 141.841 44 SAFH 116 39 0 1 1.4E+02 12 0.00068 132.476 45 SAFH 117 40 0 1 1.2E+02 14 0.023 128.414 46 SAFH 120 41 0 1 1.2E+02 14 0.0038 153.084 47 SAFH 128 42 0 1 1.4E+02 14 0.0041 152.173 48 SAFH 130 43 0 1 1.3E+02 14 0.0039 132.454 49 SAFH 134 44 0 1 1.4E+02 14 0.0022 154.191 50 SAFH 136 45 0 1 1.1E+02 12 0.0031 132.334 51 SAFH 138 46 0 1 1.2E+02 12 0.00019 131.615 52 SAFH 139 47 0 1 94 10 0.0025 162.329 53 SAFH 142 48 0 1 1.6E+02 12 0.0032 161.773 54 SAFH 145 49 0 1 1.6E+02 11 0.00083 133.612 55 SAFH 146 50 0 1 1.1E+02 10 0.00011 131.283 56 SAFH 147 51 0 1 1.3E+02 11 0.024 137.964 57 SAFH 149 52 0 1 1.2E+02 14 0.006 131.685 58 SAFH 151 53 0 1 1.6E+02 10 0.0039 135.012 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 153 54 0 1 89 13 0.0054 161.268 60 SAFH 156 55 0 1 1.3E+02 14 0.03 148.138 61 SAFH 157 56 0 1 88 14 0.016 137.936 62 SAFH 159 57 0 1 1.3E+02 10 0.0005 132.143 63 SAFH 160 58 0 1 1.3E+02 10 0.0011 122.411 64 SAFH 161 59 0 1 1.6E+02 14 0.015 130.635 65 SAFH 163 60 0 1 1.5E+02 14 0.0068 127.536 66 SAFH 168 61 0 1 1.5E+02 12 0.0079 145.026 67 SAFH 169 62 0 1 1.7E+02 12 0.0037 140.961 68 SAFH 172 63 0 1 1.1E+02 14 0.0068 140.086 69 SAFH 180 64 0 1 75 12 0.018 138.113 70 SAFH 182 65 0 1 97 11 0.0011 135.046 71 SAFH 183 66 0 1 1E+02 14 0.00086 132.681 72 SAFH 184 67 0 1 1.4E+02 8 0.0002 135.943 73 SAFH 185 68 0 1 1.1E+02 11 0.0047 120.261 74 SAFH 186 69 0 1 1.3E+02 14 0.0041 154.769 75 SAFH 187 70 0 1 96 14 0.0087 129.103 76 SAFH 189 71 0 1 1.5E+02 13 0.0062 133.43 77 SAFH 191 72 0 1 1.7E+02 12 0.00056 149.698 78 SAFH 192 73 0 1 1E+02 10 0.016 146.383 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 194 74 0 1 1.1E+02 9 0.017 144.05 80 SAFH 196 75 0 1 1.4E+02 8 0.0027 125.866 81 SAFH 199 76 0 1 1.4E+02 10 0.00076 135.068 82 SAFH 200 77 0 1 1.5E+02 14 0.019 130.773 83 SAFH 202 78 0 1 1.4E+02 14 0.00079 128.809 84 SAFH 203 79 0 1 93 8 0.0013 123.625 85 SAFH 205 80 0 1 1.4E+02 14 0.015 129.959 86 SAFH 207 81 0 1 1.3E+02 10 6.4E-05 133.014 87 SAFH 208 82 0 1 1.1E+02 12 0.0038 154.046 88 SAFH 210 83 0 1 1.1E+02 8 0.0026 132.93 89 SAFH 212 84 0 1 1.1E+02 9 0.0049 136.365 90 SAFH 213 85 0 1 1.2E+02 14 0.00091 145.79 91 SAFH 214 86 0 1 91 11 0.00068 131.47 92 SAFH 215 87 0 1 1.5E+02 7 0.0013 161.022 93 SAFH 216 88 0 1 1.2E+02 6 9.5E-05 122.923 94 SAFH 217 89 0 1 1.4E+02 8 0.0022 129.835 95 SAFH 219 90 0 1 70 11 4.8E-05 137.928 96 SAFH 220 91 0 1 1.2E+02 10 0.0037 156.858 97 SAFH 224 92 0 1 84 10 0.0029 120.841 98 SAFH 227 93 0 1 1.3E+02 12 0.0062 163.132 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 229 94 0 1 1.3E+02 6 0.00085 141.525 100 SAFH 230 95 0 1 1.1E+02 4 0.00014 156.899 101 SAFH 231 96 0 1 0.00035 2 5.8E-06 156.899 102 SAFJL 232 97 0 1 8.4E-05 0 5.3E-07 156.899 103 SAFH 218 96 0 0.5 1.5E+02 9 0.00011 121.833 104 SAFH 219 97 0 0.5 1.2E+02 8 0.00092 122.252 105 SAFH 220 98 0 0.5 1.3E+02 6 0.0039 121.478 106 SAFH 221 99 0 0.5 1.3E+02 10 7.3E-05 133.217 107 SAFG 222 100 0 0.5 2.4E+14 0 5.7E-14 107.871 107 FOUND SOLUTION: 107.871 (NLP) in 33 sec. 108 SAFJ 222 100 0 0.5 2.4E+14 0 5.3E-07 107.871 108 FOUND SOLUTION: 107.871 in 34 sec. 109 SAFJ 222 100 0 0.3 0 0 5.3E-07 107.871 110 SAFJ 222 100 0 0.2 0 0 5.3E-07 107.871 111 SAFJ 222 100 0 0.1 0 0 5.3E-07 107.871 112 AFG 222 100 0 0 2.4E+14 0 5.3E-15 107.815 112 FOUND SOLUTION: 107.815 (NLP) in 84 sec. 113 AFH 222 100 0 0 2.4E+14 14 0.00061 107.804 114 AFH 223 101 0 0 2.1 14 0.0003 107.811 115 AFH 224 102 0 0 0.027 11 6.7E-05 107.814 116 AFH 225 103 0 0 4 9 2.1E-05 107.815 117 AFH 226 104 0 0 2 7 1.6E-05 107.815 118 AFH 227 105 0 0 4 5 1.6E-05 107.815 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 228 106 0 0 1 3 1E-05 107.815 120 AFH 229 107 0 0 3 1 1E-06 107.815 121 AFJ 230 108 0 0 3 0 8E-07 107.815 121 FOUND SOLUTION: 107.815 in 362 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.138_no7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 107.81530830743157878 Max constraint (12) : 5.329070518200751394e-15 Alternative solution : MIP Alt. objective value : 107.81530099670789014 Max constraint (4) : 8.0458194418042694451e-07 Time used (seconds) : 361.91 Time limit (seconds) : 7200 Iterations used : 121 Iteration limit : -1 Function evaluations : 2562 Gradient evaluations : 244 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 10/121 NLP solver calls : 121 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- no7_ar3_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job no7_ar3_1.gms Stop 09/14/12 15:49:41 elapsed 0:06:01.962 @04 1347630581 ----------------------------- Fr 14. Sep 15:49:41 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/no7_ar4_1.gms =========== ----------------------------- Fr 14. Sep 15:44:33 CEST 2012 ----------------------------- @03 1347630273 --- Job no7_ar4_1.gms Start 09/14/12 15:44:33 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- no7_ar4_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- no7_ar4_1.gms(663) 3 Mb --- Generating MINLP model m --- no7_ar4_1.gms(668) 5 Mb --- 270 rows 113 columns 1,061 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- no7_ar4_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.139_no7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1061 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 7.3 NA 1 SAFH 14 1 0 1 2.4E+14 10 1 128.005 2 SAFH 20 2 0 1 2E+02 12 0.71 153.333 3 SAFH 22 3 0 1 11 12 0.26 157.727 4 SAFH 26 4 0 1 1.6E+02 14 1.5 132.071 5 SAFH 28 5 0 1 1.3E+02 14 0.63 165.345 6 SAFH 32 6 0 1 1.5E+02 12 0.37 131.801 7 SAFG 38 7 0 1 2.4E+14 0 0 124.604 7 FOUND SOLUTION: 124.604 (NLP) in 1 sec. 8 SAFH 38 7 0 1 2.4E+14 14 0.14 123.273 9 SAFH 41 8 0 1 1.5E+02 14 0.34 180.511 10 SAFH 43 9 0 1 1.5E+02 14 0.0079 164.976 11 SAFH 45 10 0 1 39 10 0.0031 140.822 12 SAFH 48 11 0 1 1.5E+02 14 0.22 142.658 13 SAFH 51 12 0 1 1.6E+02 14 0.15 135.175 14 SAFH 52 13 0 1 82 12 0.16 119.703 15 SAFH 54 14 0 1 71 11 0.00041 135.295 16 SAFH 55 15 0 1 0.0025 9 0.00033 135.298 17 SAFH 56 16 0 1 0.0052 7 0.00033 135.302 18 SAFH 57 17 0 1 0.0051 5 3.4E-06 135.305 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 58 18 0 1 8.5E-06 3 3.4E-06 135.305 20 SAFH 59 19 0 1 2.7E-05 1 1.9E-06 135.305 21 SAFJL 60 20 0 1 1.6E-05 0 1.1E-07 135.305 22 SAFH 46 19 0 0.5 1.6E+02 14 0.056 133.815 23 SAFH 49 20 0 0.5 93 14 0.019 125.689 24 SAFH 52 21 0 0.5 1.2E+02 14 0.025 118.757 25 SAFH 55 22 0 0.5 1.4E+02 12 0.12 126.979 26 SAFG 57 23 0 0.5 2.4E+14 0 4.4E-16 117.327 26 FOUND SOLUTION: 117.327 (NLP) in 11 sec. 27 SAFH 57 23 0 0.5 2.4E+14 14 0.019 117.159 28 SAFG 62 24 0 0.5 2.4E+14 0 8.9E-16 113.01 28 FOUND SOLUTION: 113.01 (NLP) in 13 sec. 29 SAFH 62 24 0 0.5 2.4E+14 12 0.072 112.685 30 SAFH 63 25 0 0.5 1.7E+02 14 0.052 123.454 31 SAFH 65 26 0 0.5 1.5E+02 14 0.049 123.006 32 SAFH 67 27 0 0.5 1.5E+02 14 0.019 128.185 33 SAFH 69 28 0 0.5 1.6E+02 14 0.094 154.775 34 SAFH 72 29 0 0.5 1.1E+02 14 0.038 129.282 35 SAFH 74 30 0 0.5 1E+02 14 0.031 128.017 36 SAFG 77 31 0 0.5 2.4E+14 0 1.6E-14 107.88 36 FOUND SOLUTION: 107.88 (NLP) in 27 sec. 37 SAFH 77 31 0 0.5 2.4E+14 14 0.006 107.821 38 SAFH 80 32 0 0.5 1.5E+02 10 0.17 115.29 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 81 33 0 0.5 1.2E+02 14 0.073 134.579 40 SAFH 84 34 0 0.5 1.5E+02 6 0.0023 118.027 41 SAFH 87 35 0 0.5 1.4E+02 12 0.015 122.013 42 SAFH 89 36 0 0.5 1.5E+02 14 0.0012 120.228 43 SAFH 90 37 0 0.5 1.5E+02 4 0.025 119.456 44 SAFH 92 38 0 0.5 1.6E+02 14 0.019 144.774 45 SAFH 93 39 0 0.5 1.5E+02 14 0.019 117.184 46 SAFH 96 40 0 0.5 1.4E+02 14 0.02 125.06 47 SAFH 99 41 0 0.5 1.2E+02 13 0.02 120.33 48 SAFH 102 42 0 0.5 73 14 0.0032 130.584 49 SAFH 105 43 0 0.5 84 14 0.019 132.449 50 SAFH 109 44 0 0.5 1.3E+02 12 0.021 124.467 51 SAFH 111 45 0 0.5 1.8E+02 14 0.051 122.303 52 SAFH 112 46 0 0.5 1.2E+02 14 0.01 131.125 53 SAFH 114 47 0 0.5 1.4E+02 10 0.0074 127.622 54 SAFH 116 48 0 0.5 1.5E+02 14 0.0099 127.677 55 SAFH 120 49 0 0.5 82 14 0.0024 118.443 56 SAFH 123 50 0 0.5 1.3E+02 12 0.00088 122.675 57 SAFH 124 51 0 0.5 1.6E+02 14 0.069 123.816 58 SAFH 126 52 0 0.5 1.1E+02 14 0.001 129.155 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 127 53 0 0.5 94 8 7.7E-06 134.162 60 SAFH 128 54 0 0.5 93 8 0.0017 141.053 61 SAFH 130 55 0 0.5 33 12 0.0018 131.228 62 SAFH 132 56 0 0.5 1E+02 6 0.00043 121.862 63 SAFH 133 57 0 0.5 1.4E+02 14 0.0028 116.415 64 SAFH 135 58 0 0.5 1.1E+02 6 0.00084 131.281 65 SAFH 136 59 0 0.5 1.1E+02 10 0.0023 138.241 66 SAFJ 138 60 0 0.5 1.8E+02 0 2.2E-07 123.629 67 SAFJ 138 60 0 0.3 0 0 2.2E-07 123.629 68 SAFJ 138 60 0 0.2 0 0 2.2E-07 123.629 69 SAFJ 138 60 0 0.1 0 0 2.2E-07 123.629 70 AFG 138 60 0 0 2.4E+14 0 0 98.5184 70 FOUND SOLUTION: 98.5184 (NLP) in 154 sec. 71 AFH 138 60 0 0 2.4E+14 14 0.0037 98.4974 72 AFH 142 61 0 0 63 8 0.0014 98.516 73 AFH 143 62 0 0 5 6 0.00015 98.5176 74 AFH 144 63 0 0 60 4 0.00015 98.5181 75 AFH 145 64 0 0 60 2 7.7E-06 98.5184 76 AFJ 146 65 0 0 61 0 5.1E-07 98.5184 76 FOUND SOLUTION: 98.5184 in 309 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.139_no7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 98.51840218217535039 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 98.518399230225909946 Max constraint (7) : 5.0942656049102197358e-07 Time used (seconds) : 308.79 Time limit (seconds) : 7200 Iterations used : 76 Iteration limit : -1 Function evaluations : 4256 Gradient evaluations : 160 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 7/76 NLP solver calls : 77 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- no7_ar4_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job no7_ar4_1.gms Stop 09/14/12 15:49:42 elapsed 0:05:08.840 @04 1347630582 ----------------------------- Fr 14. Sep 15:49:42 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/no7_ar5_1.gms =========== ----------------------------- Fr 14. Sep 15:46:42 CEST 2012 ----------------------------- @03 1347630402 --- Job no7_ar5_1.gms Start 09/14/12 15:46:42 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- no7_ar5_1.gms(668) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- no7_ar5_1.gms(663) 3 Mb --- Generating MINLP model m --- no7_ar5_1.gms(668) 5 Mb --- 270 rows 113 columns 1,061 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- no7_ar5_1.gms(668) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.140_no7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1061 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 8.2 NA 1 SAFH 14 1 0 1 2.4E+14 14 2 143.297 2 SAFH 22 2 0 1 1.5E+02 6 2 128.904 3 SAFH 24 3 0 1 1.6E+02 14 1.8 105.005 4 SAFH 26 4 0 1 1.6E+02 12 0.36 149.092 5 SAFH 31 5 0 1 1.6E+02 10 0.68 117.845 6 SAFG 33 6 0 1 2.4E+14 0 9.3E-13 126.07 6 FOUND SOLUTION: 126.07 (NLP) in 1 sec. 7 SAFH 33 6 0 1 2.4E+14 12 0.18 124.982 8 SAFH 35 7 0 1 1.4E+02 14 0.59 128.972 9 SAFH 37 8 0 1 1.1E+02 12 0.26 150.861 10 SAFH 38 9 0 1 1.5E+02 14 0.033 141.727 11 SAFH 42 10 0 1 1.4E+02 12 0.36 140.285 12 SAFH 43 11 0 1 1.3E+02 14 0.086 172.726 13 SAFH 51 12 0 1 1.3E+02 14 0.064 163.697 14 SAFH 56 13 0 1 1.3E+02 14 0.094 152.734 15 SAFH 58 14 0 1 1.4E+02 14 0.03 143.994 16 SAFH 60 15 0 1 1.2E+02 14 0.068 151.693 17 SAFH 61 16 0 1 4.4 14 0.02 151.768 18 SAFH 62 17 0 1 1.4E+02 14 0.21 131.177 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 67 18 0 1 2.4E+14 0 1E-09 124.495 19 FOUND SOLUTION: 124.495 (NLP) in 2 sec. 20 SAFH 67 18 0 1 2.4E+14 14 0.06 123.738 21 SAFG 71 19 0 1 2.4E+14 0 7.4E-10 119.499 21 FOUND SOLUTION: 119.499 (NLP) in 3 sec. 22 SAFH 71 19 0 1 2.4E+14 12 0.0015 119.482 23 SAFG 74 20 0 1 2.4E+14 0 0 103.178 23 FOUND SOLUTION: 103.178 (NLP) in 3 sec. 24 SAFH 74 20 0 1 2.4E+14 8 0.055 102.803 25 SAFG 77 21 0 1 2.4E+14 0 4.4E-16 98.6968 25 FOUND SOLUTION: 98.6968 (NLP) in 3 sec. 26 SAFH 77 21 0 1 2.4E+14 6 0.018 98.6034 27 SAFH 79 22 0 1 1.6E+02 12 0.14 128.343 28 SAFH 80 23 0 1 1.4E+02 12 0.041 122.56 29 SAFH 81 24 0 1 0.082 10 0.019 122.581 30 SAFH 82 25 0 1 1.6E+02 14 0.083 135.807 31 SAFH 83 26 0 1 1.5E+02 10 0.14 130.724 32 SAFH 84 27 0 1 1.9E+02 10 0.041 112.739 33 SAFH 87 28 0 1 16 6 0.012 113.34 34 SAFH 90 29 0 1 1.9E+02 10 0.0066 144.55 35 SAFH 93 30 0 1 1.7E+02 14 0.021 144.703 36 SAFH 96 31 0 1 1.2E+02 8 0.046 129.346 37 SAFH 98 32 0 1 1.5E+02 14 0.13 139.764 38 SAFH 99 33 0 1 1.3E+02 14 0.022 139.598 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 101 34 0 1 66 8 0.04 116.876 40 SAFH 102 35 0 1 1.9E+02 9 0.00093 117.134 41 SAFH 103 36 0 1 1.8E+02 8 0.007 145.853 42 SAFH 105 37 0 1 53 10 0.0024 152.155 43 SAFH 106 38 0 1 0.015 8 0.00081 152.16 44 SAFH 107 39 0 1 0.001 6 0.00012 152.162 45 SAFH 108 40 0 1 0.00069 4 8.5E-05 152.162 46 SAFH 109 41 0 1 1.6E+02 11 0.018 126.516 47 SAFH 111 42 0 1 1.1E+02 14 0.011 132.05 48 SAFH 115 43 0 1 1.2E+02 12 0.036 140.448 49 SAFH 117 44 0 1 1.6E+02 14 0.11 156.69 50 SAFH 118 45 0 1 1.3E+02 14 0.011 119.25 51 SAFH 121 46 0 1 1.2E+02 14 0.026 140.799 52 SAFH 124 47 0 1 1.6E+02 14 0.0034 163.438 53 SAFH 126 48 0 1 0.25 12 0.00018 163.458 54 SAFH 127 49 0 1 1.2E+02 14 0.027 129.219 55 SAFH 129 50 0 1 1.4E+02 14 0.0095 119.869 56 SAFH 130 51 0 1 1.3E+02 12 0.0076 140.97 57 SAFH 133 52 0 1 1.5E+02 14 0.014 148.331 58 SAFH 136 53 0 1 1.5E+02 12 0.0096 137.659 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 138 54 0 1 41 10 0.0096 150.432 60 SAFH 140 55 0 1 1.6E+02 14 0.052 147.547 61 SAFH 142 56 0 1 83 13 0.025 149.47 62 SAFH 144 57 0 1 1.6E+02 10 0.14 130.394 63 SAFH 145 58 0 1 1.7E+02 14 0.0041 153.021 64 SAFH 146 59 0 1 0.029 12 9.1E-05 153.038 65 SAFH 147 60 0 1 1.5E+02 14 0.017 166.082 66 SAFH 149 61 0 1 1.4E+02 14 0.026 147.6 67 SAFH 151 62 0 1 1.2E+02 12 0.0092 138.125 68 SAFH 152 63 0 1 0.048 12 0.0013 138.138 69 SAFH 153 64 0 1 1.6E+02 8 1.2E-05 119.716 70 SAFH 154 65 0 1 0.0002 6 9.8E-06 119.716 71 SAFH 155 66 0 1 1.7E+02 12 0.012 136.522 72 SAFH 160 67 0 1 1.1E+02 12 0.0087 147.849 73 SAFH 163 68 0 1 0.21 12 0.0029 147.935 74 SAFH 165 69 0 1 0.027 8 4.7E-05 147.941 75 SAFH 166 70 0 1 1.1E+02 12 0.0072 123.22 76 SAFH 168 71 0 1 0.04 12 2.6E-05 123.254 77 SAFH 169 72 0 1 0.00036 10 2.4E-05 123.254 78 SAFH 170 73 0 1 0.00018 8 1.7E-05 123.254 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 171 74 0 1 0.00015 6 6E-06 123.254 80 SAFH 172 75 0 1 1.5E-05 4 5.9E-06 123.254 81 SAFH 173 76 0 1 2.1E-05 2 3.4E-06 123.254 82 SAFJL 174 77 0 1 2.4E-05 0 6.5E-11 123.254 83 SAFH 160 76 0 0.5 1.1E+02 6 8.1E-05 132.603 84 SAFH 161 77 0 0.5 1.1E+02 9 0.00091 125.663 85 SAFH 162 78 0 0.5 1.2E+02 9 0.00065 110.138 86 SAFH 163 79 0 0.5 86 5 6.1E-06 124.986 87 SAFH 164 80 0 0.5 1.8E+02 6 0.0014 98.693 88 SAFH 165 81 0 0.5 1.9E+02 6 7.1E-06 119.056 89 SAFH 166 82 0 0.5 81 5 1E-05 131.638 90 SAFH 167 83 0 0.5 91 3 2.3E-06 114.136 91 SAFH 168 84 0 0.5 21 2 1.8E-06 115.447 92 SAFH 169 85 0 0.5 58 1 1.7E-06 114.136 93 SAFH 170 86 0 0.5 1.9E+02 4 2.9E-05 103.16 94 SAFH 171 87 0 0.5 1.8E+02 2 1.3E-06 115.21 95 SAFJ 172 88 0 0.5 43 0 7.4E-07 116.056 96 SAFJ 172 88 0 0.3 0 0 7.4E-07 116.056 97 SAFJ 172 88 0 0.2 0 0 7.4E-07 116.056 98 SAFJ 172 88 0 0.1 0 0 7.4E-07 116.056 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFG 172 88 0 0 2.4E+14 0 1.6E-14 90.6227 99 FOUND SOLUTION: 90.6227 (NLP) in 92 sec. 100 AFH 172 88 0 0 2.4E+14 12 0.0045 90.6072 101 AFH 173 89 0 0 4 9 0.0013 90.6144 102 AFH 176 90 0 0 2 2 1.5E-06 90.6227 103 AFH 177 91 0 0 1 1 1.2E-06 90.6227 104 AFJ 178 92 0 0 5.8E-06 0 1.6E-07 90.6227 104 FOUND SOLUTION: 90.6227 in 198 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.140_no7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 90.622674883349091601 Max constraint (3) : 1.5987211554602254182e-14 Alternative solution : MIP Alt. objective value : 90.622672795202035445 Max constraint (8) : 1.5743069958773503458e-07 Time used (seconds) : 197.24 Time limit (seconds) : 7200 Iterations used : 104 Iteration limit : -1 Function evaluations : 3094 Gradient evaluations : 192 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 6/104 NLP solver calls : 105 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- no7_ar5_1.gms(668) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job no7_ar5_1.gms Stop 09/14/12 15:49:59 elapsed 0:03:17.284 @04 1347630599 ----------------------------- Fr 14. Sep 15:49:59 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_2.gms =========== ----------------------------- Fr 14. Sep 15:49:41 CEST 2012 ----------------------------- @03 1347630581 --- Job o7_2.gms Start 09/14/12 15:49:41 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_2.gms(509) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- o7_2.gms(504) 3 Mb --- Generating MINLP model m --- o7_2.gms(509) 5 Mb --- 212 rows 115 columns 877 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_2.gms(509) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.141_o7_2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 877 elements of which 2% are non-linear(NL) included in 212 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 115 variables: Continuous(73), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (205) infeasibile 0 H 0 0 0 1 0 14 8.2 NA 1 SAFH 14 1 0 1 2.2E+14 14 2 122.94 2 SAFH 20 2 0 1 1.3E+02 14 1.9 199.009 3 SAFG 26 3 0 1 2.2E+14 0 8.9E-16 171.579 3 FOUND SOLUTION: 171.579 (NLP) in 1 sec. 4 SAFH 26 3 0 1 2.2E+14 14 1.5 167.355 5 SAFG 28 4 0 1 2.2E+14 0 8.9E-16 145.21 5 FOUND SOLUTION: 145.21 (NLP) in 1 sec. 6 SAFH 28 4 0 1 2.2E+14 14 0.098 144.219 7 SAFH 31 5 0 1 1.2E+02 14 0.23 150.3 8 SAFH 34 6 0 1 1.7E+02 14 0.21 157.331 9 SAFH 37 7 0 1 1.2E+02 14 0.16 154.41 10 SAFH 41 8 0 1 1.1E+02 14 0.22 183.909 11 SAFH 46 9 0 1 1.2E+02 14 0.15 187.327 12 SAFG 49 10 0 1 2.2E+14 0 4.4E-16 142.369 12 FOUND SOLUTION: 142.369 (NLP) in 1 sec. 13 SAFH 49 10 0 1 2.2E+14 14 0.048 142.241 14 SAFH 53 11 0 1 0.3 6 0.0055 142.348 15 SAFH 54 12 0 1 0.0057 4 0.0027 142.348 16 SAFH 57 13 0 1 0.043 4 4.6E-06 142.369 17 SAFH 58 14 0 1 1.8E-05 2 3.8E-06 142.369 18 SAFJL 59 15 0 1 2.1E-05 0 3.2E-09 142.369 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 45 14 0 0.5 1.7E+02 12 1.3 125.731 20 SAFH 46 15 0 0.5 1.7E+02 9 0.25 124.815 21 SAFG 49 16 0 0.5 2.2E+14 0 2.2E-16 131.794 21 FOUND SOLUTION: 131.794 (NLP) in 12 sec. 22 SAFH 49 16 0 0.5 2.2E+14 14 0.22 130.989 23 SAFH 50 17 0 0.5 90 14 0.27 133.51 24 SAFJ 53 18 0 0.5 1.7E+02 0 3.2E-09 137.354 25 SAFJ 53 18 0 0.3 0 0 3.2E-09 137.354 26 SAFJ 53 18 0 0.2 0 0 3.2E-09 137.354 27 SAFJ 53 18 0 0.1 0 0 3.2E-09 137.354 28 AFG 53 18 0 0 2.2E+14 0 5E-13 119.07 28 FOUND SOLUTION: 119.07 (NLP) in 282 sec. 29 AFH 53 18 0 0 2.2E+14 10 1.1 114.147 30 AFG 55 19 0 0 2.2E+14 0 8.9E-16 116.946 30 FOUND SOLUTION: 116.946 (NLP) in 566 sec. 31 AFH 55 19 0 0 2.2E+14 6 0.15 116.571 32 AFH 56 20 0 0 69 6 0.0013 116.937 33 AFH 59 21 0 0 0.013 2 6.7E-06 116.946 34 AFJ 60 22 0 0 82 0 4.7E-08 116.946 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.141_o7_2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 116.94593159487853029 Max constraint (10) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 116.94593159487853029 Max constraint (10) : 8.8817841970012523234e-16 Time used (seconds) : 1225.72 Time limit (seconds) : 7200 Iterations used : 34 Iteration limit : -1 Function evaluations : 2058 Gradient evaluations : 74 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 7/34 NLP solver calls : 35 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_2.gms(509) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_2.gms Stop 09/14/12 16:10:07 elapsed 0:20:25.839 @04 1347631807 ----------------------------- Fr 14. Sep 16:10:07 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_ar2_1.gms =========== ----------------------------- Fr 14. Sep 15:49:43 CEST 2012 ----------------------------- @03 1347630583 --- Job o7_ar2_1.gms Start 09/14/12 15:49:43 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_ar2_1.gms(669) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- o7_ar2_1.gms(664) 3 Mb --- Generating MINLP model m --- o7_ar2_1.gms(669) 5 Mb --- 270 rows 113 columns 1,063 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_ar2_1.gms(669) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.142_o7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1063 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 3.9 NA 1 SAFH 8 1 0 1 2.2E+14 10 0.2 185.764 2 SAFH 14 2 0 1 1.3E+02 10 0.35 174.893 3 SAFH 20 3 0 1 1.6E+02 14 0.6 192.787 4 SAFH 22 4 0 1 1.3E+02 14 0.077 173.618 5 SAFG 25 5 0 1 2.2E+14 0 4.4E-16 197.514 5 FOUND SOLUTION: 197.514 (NLP) in 1 sec. 6 SAFH 25 5 0 1 2.2E+14 14 0.031 196.587 7 SAFG 31 6 0 1 2.2E+14 0 6.2E-15 164.424 7 FOUND SOLUTION: 164.424 (NLP) in 2 sec. 8 SAFH 31 6 0 1 2.2E+14 14 0.034 163.587 9 SAFG 35 7 0 1 2.2E+14 0 0 157.343 9 FOUND SOLUTION: 157.343 (NLP) in 2 sec. 10 SAFH 35 7 0 1 2.2E+14 14 0.016 157.034 11 SAFH 41 8 0 1 1.3E+02 14 0.071 162.829 12 SAFH 46 9 0 1 82 14 0.036 150.168 13 SAFH 50 10 0 1 1.4E+02 13 0.013 168.591 14 SAFH 54 11 0 1 1.4E+02 14 0.0024 168.401 15 SAFH 62 12 0 1 1.2E+02 6 0.0001 177.36 16 SAFH 63 13 0 1 0.00069 4 0.0001 177.36 17 SAFH 64 14 0 1 0.00036 2 0.0001 177.361 18 SAFJL 65 15 0 1 0.00077 0 1.9E-08 177.361 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 57 14 0 0.5 1.6E+02 14 0.0053 159.19 20 SAFH 59 15 0 0.5 1.2E+02 14 0.043 161.42 21 SAFG 61 16 0 0.5 2.2E+14 0 0 147.614 21 FOUND SOLUTION: 147.614 (NLP) in 6 sec. 22 SAFH 61 16 0 0.5 2.2E+14 14 0.0021 147.578 23 SAFH 69 17 0 0.5 1.1E+02 12 0.0014 150.503 24 SAFH 73 18 0 0.5 95 8 0.00023 163.045 25 SAFH 74 19 0 0.5 1.4E+02 14 0.0041 158.124 26 SAFH 76 20 0 0.5 1.3E+02 6 0.00079 160.507 27 SAFH 77 21 0 0.5 1.2E+02 14 0.015 157.101 28 SAFH 82 22 0 0.5 1E+02 14 0.0001 161.557 29 SAFH 83 23 0 0.5 1.2E+02 13 0.007 159.28 30 SAFH 93 24 0 0.5 70 14 0.011 163.806 31 SAFH 97 25 0 0.5 1.3E+02 8 0.0011 154.678 32 SAFH 98 26 0 0.5 0.021 6 5.3E-06 154.691 33 SAFH 99 27 0 0.5 8.3E-05 4 3.8E-06 154.691 34 SAFH 100 28 0 0.5 4.5E-05 2 2.5E-06 154.691 35 SAFH 101 29 0 0.5 1.3E+02 8 0.00023 148.636 36 SAFG 102 30 0 0.5 2.2E+14 0 8.9E-16 146.268 36 FOUND SOLUTION: 146.268 (NLP) in 22 sec. 37 SAFH 102 30 0 0.5 2.2E+14 13 0.025 146.164 38 SAFH 104 31 0 0.5 98 14 0.001 162.916 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 105 32 0 0.5 1.1E+02 6 5.5E-06 159.432 40 SAFH 106 33 0 0.5 1.3E+02 4 0.00058 183.433 41 SAFH 107 34 0 0.5 1E+02 14 0.0037 154.469 42 SAFH 109 35 0 0.5 91 14 0.00077 148.796 43 SAFH 110 36 0 0.5 97 6 0.0011 159.532 44 SAFH 111 37 0 0.5 1.2E+02 4 0.00056 150.534 45 SAFJ 112 38 0 0.5 1E+02 0 3.4E-07 155.862 46 SAFJ 112 38 0 0.3 0 0 3.4E-07 155.862 47 SAFJ 112 38 0 0.2 0 0 3.4E-07 155.862 48 SAFJ 112 38 0 0.1 0 0 3.4E-07 155.862 49 AFG 112 38 0 0 2.2E+14 0 4.4E-16 140.412 49 FOUND SOLUTION: 140.412 (NLP) in 101 sec. 50 AFH 112 38 0 0 2.2E+14 2 0.00048 140.411 51 AFJ 113 39 0 0 59 0 8.9E-07 140.412 51 FOUND SOLUTION: 140.412 in 165 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.142_o7_ar2_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 140.41195832307815294 Max constraint (13) : 4.4408920985006261617e-16 Alternative solution : MIP Alt. objective value : 140.41195008345962947 Max constraint (10) : 8.8564062394880238571e-07 Time used (seconds) : 164.51 Time limit (seconds) : 7200 Iterations used : 51 Iteration limit : -1 Function evaluations : 2156 Gradient evaluations : 121 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 3/51 NLP solver calls : 52 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_ar2_1.gms(669) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_ar2_1.gms Stop 09/14/12 15:52:27 elapsed 0:02:44.550 @04 1347630747 ----------------------------- Fr 14. Sep 15:52:27 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_ar25_1.gms =========== ----------------------------- Fr 14. Sep 15:49:59 CEST 2012 ----------------------------- @03 1347630599 --- Job o7_ar25_1.gms Start 09/14/12 15:49:59 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_ar25_1.gms(669) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- o7_ar25_1.gms(664) 3 Mb --- Generating MINLP model m --- o7_ar25_1.gms(669) 5 Mb --- 270 rows 113 columns 1,063 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_ar25_1.gms(669) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.143_o7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1063 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 4.9 NA 1 SAFH 14 1 0 1 2.2E+14 8 0.67 167.374 2 SAFG 16 2 0 1 2.2E+14 0 1.8E-15 156.992 2 FOUND SOLUTION: 156.992 (NLP) in 1 sec. 3 SAFH 16 2 0 1 2.2E+14 14 0.57 149.614 4 SAFH 20 3 0 1 1.4E+02 10 0.65 161.618 5 SAFH 22 4 0 1 1.3E+02 14 0.67 203.423 6 SAFH 24 5 0 1 1.2E+02 12 0.23 190.78 7 SAFH 29 6 0 1 77 12 0.15 183.116 8 SAFH 31 7 0 1 97 14 0.11 211.511 9 SAFH 35 8 0 1 1.2E+02 14 0.3 219.992 10 SAFH 37 9 0 1 1.2E+02 14 0.099 198.485 11 SAFH 39 10 0 1 85 12 0.099 173.625 12 SAFH 41 11 0 1 1.4E+02 12 0.055 172.913 13 SAFH 45 12 0 1 1.6E+02 12 0.14 169.566 14 SAFH 48 13 0 1 1.3E+02 12 0.021 171.475 15 SAFH 52 14 0 1 1.3E+02 14 0.02 168.401 16 SAFG 58 15 0 1 2.2E+14 0 8.9E-16 154.41 16 FOUND SOLUTION: 154.41 (NLP) in 2 sec. 17 SAFH 58 15 0 1 2.2E+14 12 0.01 154.327 18 SAFH 62 16 0 1 1.3E+02 14 0.098 173.444 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 64 17 0 1 1.4E+02 12 0.00037 162.797 20 SAFH 65 18 0 1 1.5E+02 14 0.021 157.252 21 SAFH 67 19 0 1 1.6E+02 10 2.5E-05 156.246 22 SAFH 68 20 0 1 5.9E-05 8 8.9E-06 156.246 23 SAFH 69 21 0 1 6.8E-05 6 7.3E-06 156.246 24 SAFH 70 22 0 1 1.4E+02 14 0.06 187.221 25 SAFH 72 23 0 1 75 14 0.043 197.669 26 SAFH 74 24 0 1 1.5E+02 14 0.011 186.699 27 SAFH 78 25 0 1 1.3E+02 14 0.036 166.198 28 SAFH 80 26 0 1 1.4E+02 14 0.0035 156.02 29 SAFH 85 27 0 1 1.1E+02 14 0.0052 174.935 30 SAFH 86 28 0 1 0.11 12 0.00078 174.967 31 SAFG 87 29 0 1 2.2E+14 0 8.9E-16 153.122 31 FOUND SOLUTION: 153.122 (NLP) in 4 sec. 32 SAFH 87 29 0 1 2.2E+14 14 0.022 152.82 33 SAFH 90 30 0 1 1E+02 14 0.0038 165.973 34 SAFH 92 31 0 1 1.1E+02 14 0.0019 180.033 35 SAFH 96 32 0 1 1.1E+02 14 0.011 156.799 36 SAFH 98 33 0 1 98 8 0.0032 175.977 37 SAFH 99 34 0 1 1.5E+02 12 0.0053 170.29 38 SAFH 103 35 0 1 1.2E+02 14 0.021 164.003 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFG 105 36 0 1 2.2E+14 0 2.2E-12 152.52 39 FOUND SOLUTION: 152.52 (NLP) in 6 sec. 40 SAFH 105 36 0 1 2.2E+14 8 0.00051 152.517 41 SAFH 106 37 0 1 1.4E+02 14 0.022 190.834 42 SAFG 108 38 0 1 2.2E+14 0 7.3E-10 148.39 42 FOUND SOLUTION: 148.39 (NLP) in 6 sec. 43 SAFH 108 38 0 1 2.2E+14 11 0.002 148.373 44 SAFH 111 39 0 1 1.2E+02 8 0.008 169.158 45 SAFH 113 40 0 1 1.1E+02 11 0.0049 165.361 46 SAFH 118 41 0 1 1.1E+02 10 0.003 167.744 47 SAFH 123 42 0 1 0.064 10 0.00025 167.802 48 SAFH 124 43 0 1 0.0036 8 0.00013 167.804 49 SAFH 125 44 0 1 0.0012 6 4.8E-06 167.805 50 SAFH 126 45 0 1 2.4E-05 4 2.6E-06 167.805 51 SAFH 127 46 0 1 1.9E-05 2 1.6E-06 167.805 52 SAFJL 128 47 0 1 3.5E-06 0 1.3E-07 167.805 53 SAFH 114 46 0 0.5 1.4E+02 4 7.4E-06 159.173 54 SAFH 115 47 0 0.5 92 4 1.2E-05 151.493 55 SAFH 116 48 0 0.5 76 2 2.3E-06 159.172 56 SAFJ 117 49 0 0.5 1.4E+02 0 1.3E-07 167.805 57 SAFJ 117 49 0 0.3 0 0 1.3E-07 167.805 58 SAFH 117 49 0 0.2 1.3E+02 11 0.00074 160.862 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 118 50 0 0.2 61 14 0.00072 152.154 60 SAFH 119 51 0 0.2 1.2E+02 5 2.1E-06 148.39 61 SAFJ 120 52 0 0.2 1.2E+02 0 5.4E-07 156.248 62 SAFJ 120 52 0 0.1 0 0 5.4E-07 156.248 63 AFG 120 52 0 0 2.2E+14 0 8.9E-16 140.412 63 FOUND SOLUTION: 140.412 (NLP) in 264 sec. 64 AFH 120 52 0 0 2.2E+14 14 0.0093 140.367 65 AFH 122 53 0 0 95 12 0.0013 140.394 66 AFH 125 54 0 0 42 8 0.00079 140.402 67 AFH 126 55 0 0 0.012 7 0.0006 140.407 68 AFH 127 56 0 0 57 5 0.00029 140.41 69 AFH 128 57 0 0 3.1 3 0.00029 140.411 70 AFH 129 58 0 0 1 1 1.3E-06 140.412 71 AFJ 130 59 0 0 95 0 9.2E-08 140.412 71 FOUND SOLUTION: 140.412 in 877 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.143_o7_ar25_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 140.41195832307812452 Max constraint (5) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 140.41195718104165735 Max constraint (5) : 9.2222654402007719909e-08 Time used (seconds) : 876.62 Time limit (seconds) : 7200 Iterations used : 71 Iteration limit : -1 Function evaluations : 2156 Gradient evaluations : 144 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 9/71 NLP solver calls : 72 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_ar25_1.gms(669) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_ar25_1.gms Stop 09/14/12 16:04:36 elapsed 0:14:36.726 @04 1347631476 ----------------------------- Fr 14. Sep 16:04:36 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_ar3_1.gms =========== ----------------------------- Fr 14. Sep 15:52:27 CEST 2012 ----------------------------- @03 1347630747 --- Job o7_ar3_1.gms Start 09/14/12 15:52:27 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_ar3_1.gms(669) 2 Mb --- Starting execution: elapsed 0:00:00.008 --- o7_ar3_1.gms(664) 3 Mb --- Generating MINLP model m --- o7_ar3_1.gms(669) 5 Mb --- 270 rows 113 columns 1,063 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_ar3_1.gms(669) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.144_o7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1063 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 5.7 NA 1 SAFH 14 1 0 1 2.2E+14 12 0.41 154.896 2 SAFH 20 2 0 1 1.1E+02 14 1.1 180.201 3 SAFH 22 3 0 1 1.3E+02 10 0.29 191.779 4 SAFG 29 4 0 1 2.2E+14 0 0 161.274 4 FOUND SOLUTION: 161.274 (NLP) in 1 sec. 5 SAFH 29 4 0 1 2.2E+14 12 0.38 155.994 6 SAFH 36 5 0 1 1.2E+02 10 0.036 159.852 7 SAFH 37 6 0 1 1.3E+02 12 0.041 185.351 8 SAFH 38 7 0 1 1.9E+02 14 0.11 183.999 9 SAFH 41 8 0 1 1.6E+02 14 0.34 159.575 10 SAFH 43 9 0 1 1.4E+02 14 0.18 178.298 11 SAFH 44 10 0 1 1.4E+02 10 0.04 159.038 12 SAFH 45 11 0 1 1.2E+02 14 0.032 175.503 13 SAFH 47 12 0 1 1.6E+02 14 0.054 165.519 14 SAFH 49 13 0 1 1.2E+02 12 0.032 209.612 15 SAFH 52 14 0 1 15 12 0.0015 207.515 16 SAFH 53 15 0 1 99 14 0.034 223.91 17 SAFH 55 16 0 1 1.5E+02 14 0.017 192.339 18 SAFH 57 17 0 1 0.12 12 0.0073 192.463 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 60 18 0 1 1.4E+02 14 0.12 196.891 20 SAFH 62 19 0 1 73 14 0.022 179.141 21 SAFH 66 20 0 1 1.4E+02 14 0.054 172.302 22 SAFG 69 21 0 1 2.2E+14 0 8.9E-16 154.916 22 FOUND SOLUTION: 154.916 (NLP) in 4 sec. 23 SAFH 69 21 0 1 2.2E+14 14 0.029 154.589 24 SAFH 72 22 0 1 1.4E+02 11 0.051 157.187 25 SAFG 74 23 0 1 2.2E+14 0 8.9E-16 150.995 25 FOUND SOLUTION: 150.995 (NLP) in 4 sec. 26 SAH 74 23 0 1 2.2E+14 14 0.04 150.495 27 SAFH 76 24 0 1 1.6E+02 14 0.035 168.606 28 SAFH 79 25 0 1 1.3E+02 10 0.011 176.938 29 SAFH 83 26 0 1 1.1E+02 12 0.0059 157.303 30 SAFH 85 27 0 1 1.8E+02 12 0.02 163.508 31 SAFH 87 28 0 1 1.3E+02 12 0.019 189.994 32 SAFH 89 29 0 1 1.2E+02 14 0.076 160.737 33 SAFH 91 30 0 1 1.6E+02 14 0.014 163.273 34 SAFH 93 31 0 1 1.4E+02 14 0.0075 174.551 35 SAFH 97 32 0 1 95 14 0.013 163.309 36 SAFH 99 33 0 1 1.1E+02 12 0.0035 169.057 37 SAFH 101 34 0 1 1.3E+02 8 0.0064 195.065 38 SAFH 103 35 0 1 1.3E+02 13 0.0033 161.879 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 105 36 0 1 1.2E+02 14 0.016 182.694 40 SAFH 106 37 0 1 1.5E+02 14 0.0034 208.135 41 SAFH 113 38 0 1 1.1E+02 14 0.0085 169.761 42 SAFH 115 39 0 1 1.5E+02 14 0.0061 187.861 43 SAFH 117 40 0 1 1.5E+02 14 0.0019 158.514 44 SAFH 120 41 0 1 1E+02 13 0.022 155.449 45 SAFH 122 42 0 1 1.5E+02 14 0.02 182.359 46 SAFH 123 43 0 1 94 14 0.021 163.359 47 SAFH 126 44 0 1 1.5E+02 14 0.0081 161.329 48 SAFH 128 45 0 1 1.7E+02 12 0.0055 192.58 49 SAFH 130 46 0 1 1.6E+02 9 0.0057 187.227 50 SAFH 133 47 0 1 1.2E+02 13 0.0031 177.618 51 SAFH 134 48 0 1 1.3E+02 12 0.0096 162.576 52 SAFH 136 49 0 1 1.6E+02 14 0.0097 153.43 53 SAFH 138 50 0 1 1.1E+02 14 0.0022 151.624 54 SAFG 139 51 0 1 2.2E+14 0 3.6E-11 147.933 54 FOUND SOLUTION: 147.933 (NLP) in 12 sec. 55 SAFH 139 51 0 1 2.2E+14 12 0.0019 147.924 56 SAFH 140 52 0 1 89 14 0.0085 163.299 57 SAFH 142 53 0 1 1.2E+02 13 0.015 168.559 58 SAFH 145 54 0 1 1.3E+02 10 0.0021 187.691 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 149 55 0 1 1.6E+02 10 0.001 153.746 60 SAFH 150 56 0 1 0.008 8 0.00041 153.75 61 SAFH 151 57 0 1 1.3E+02 14 0.0071 184.168 62 SAFH 152 58 0 1 1.3E+02 6 0.00041 153.751 63 SAFH 153 59 0 1 1.3E+02 12 0.01 206.631 64 SAFH 157 60 0 1 1.3E+02 12 0.0014 163.944 65 SAFH 159 61 0 1 1.4E+02 10 0.0019 174.196 66 SAFH 163 62 0 1 1.2E+02 14 0.0092 162.237 67 SAFG 164 63 0 1 2.2E+14 0 8.9E-16 141.869 67 FOUND SOLUTION: 141.869 (NLP) in 17 sec. 68 SAFH 164 63 0 1 2.2E+14 14 0.0038 141.788 69 SAFH 167 64 0 1 1.3E+02 13 0.0031 158.739 70 SAFH 170 65 0 1 1.5E+02 12 0.046 155.457 71 SAFH 173 66 0 1 1.5E+02 14 0.0065 160.922 72 SAFH 176 67 0 1 1.2E+02 12 0.0045 171.617 73 SAFH 180 68 0 1 1.5E+02 14 0.011 174.907 74 SAFH 182 69 0 1 1.5E+02 9 0.0019 171.664 75 SAFH 184 70 0 1 1.3E+02 12 0.0057 163.986 76 SAFH 186 71 0 1 1.6E+02 12 0.029 183.894 77 SAFH 187 72 0 1 1.6E+02 12 0.0039 160.369 78 SAFH 191 73 0 1 1.2E+02 12 0.018 174.241 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 192 74 0 1 1.1E+02 12 0.011 155.376 80 SAFH 193 75 0 1 1.3E+02 12 0.0019 163.723 81 SAFH 195 76 0 1 1.6E+02 14 0.0031 169.137 82 SAFH 198 77 0 1 1.3E+02 8 0.00091 164.566 83 SAFH 199 78 0 1 1.4E+02 14 0.0048 177.773 84 SAFH 202 79 0 1 1.2E+02 14 0.0026 186.358 85 SAFH 207 80 0 1 1.2E+02 11 0.00075 159.607 86 SAFH 208 81 0 1 1.4E+02 12 0.0027 167.369 87 SAFH 210 82 0 1 1.3E+02 8 7.4E-05 181.108 88 SAFH 211 83 0 1 64 8 1.9E-05 159.171 89 SAFH 212 84 0 1 1.1E+02 12 0.013 156.271 90 SAFH 214 85 0 1 98 14 0.003 166.729 91 SAFH 215 86 0 1 1.3E+02 13 0.00014 157.526 92 SAFH 216 87 0 1 1.2E+02 10 0.0013 182.111 93 SAFH 217 88 0 1 1.6E+02 14 0.00083 160.303 94 SAFH 218 89 0 1 1.2E+02 12 0.0005 181.694 95 SAFH 219 90 0 1 1.3E+02 14 0.0048 187.731 96 SAFH 223 91 0 1 1.3E+02 12 0.0052 182.584 97 SAFH 225 92 0 1 1.2E+02 14 0.0057 206.297 98 SAFH 227 93 0 1 1.4E+02 10 0.0067 165.594 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 228 94 0 1 0.037 8 0.00082 165.624 100 SAFH 229 95 0 1 0.0091 6 0.00077 165.632 101 SAFH 230 96 0 1 0.0019 4 0.00059 165.634 102 SAFH 231 97 0 1 1.1E+02 12 0.0028 163.339 103 SAFH 234 98 0 1 1.1E+02 2 4.6E-05 165.639 104 SAFH 235 99 0 1 1.4E+02 10 0.0033 175.333 105 SAFH 236 100 0 1 1.4E+02 8 0.00019 167.137 106 SAFH 237 101 0 1 1.2E+02 14 0.011 162.807 107 SAFH 238 102 0 1 1.8E+02 12 0.0016 194.519 108 SAFH 240 103 0 1 1.7E+02 6 0.00047 190.556 109 SAFH 241 104 0 1 0.004 4 0.00047 190.559 110 SAFH 242 105 0 1 0.0042 2 9.5E-06 190.561 111 SAFJL 243 106 0 1 6.8E-05 0 2.3E-08 190.561 112 SAFH 229 105 0 0.5 1.4E+02 4 0.00046 165.447 113 SAFH 230 106 0 0.5 1.4E+02 6 5.6E-05 152.894 114 SAFH 231 107 0 0.5 1.5E+02 11 0.00047 152.567 115 SAFG 232 108 0 0.5 2.2E+14 0 4.4E-13 137.932 115 FOUND SOLUTION: 137.932 (NLP) in 45 sec. 116 SAFH 232 108 0 0.5 2.2E+14 14 0.00033 137.929 117 SAFH 233 109 0 0.5 1.3E+02 12 0.0032 150.614 118 SAFH 234 110 0 0.5 1.5E+02 9 0.0049 147.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 235 111 0 0.5 1.2E+02 8 0.00027 158.534 120 SAFH 236 112 0 0.5 1.4E+02 10 0.00063 148.398 121 SAFH 237 113 0 0.5 1.6E+02 12 0.0044 149.933 122 SAFH 238 114 0 0.5 1.4E+02 6 0.00015 144.206 123 SAFH 239 115 0 0.5 1.3E+02 11 4.8E-05 153.965 124 SAFH 240 116 0 0.5 1.1E+02 12 0.0005 166.296 125 SAFH 241 117 0 0.5 1.5E+02 4 5.5E-06 152.027 126 SAFH 242 118 0 0.5 91 12 0.00062 148.386 127 SAFH 243 119 0 0.5 1.1E+02 8 9.2E-06 154.586 128 SAFH 244 120 0 0.5 1.3E+02 7 5.8E-05 146.096 129 SAFH 245 121 0 0.5 1.2E+02 6 5.8E-05 153.149 130 SAFH 246 122 0 0.5 1.1E+02 10 0.00032 179.216 131 SAFH 247 123 0 0.5 7 8 0.00032 179.217 132 SAFH 248 124 0 0.5 1.2E+02 12 0.00031 148.986 133 SAFH 249 125 0 0.5 1.3E+02 3 2.4E-06 147.932 134 SAFH 250 126 0 0.5 1E+02 4 5.5E-06 156.605 135 SAFH 251 127 0 0.5 1.2E+02 10 0.0039 167.921 136 SAFH 252 128 0 0.5 68 9 0.00045 145.519 137 SAFH 253 129 0 0.5 1.1E+02 8 0.00013 149.068 138 SAFJ 254 130 0 0.5 75 0 2.6E-07 147.933 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFJ 254 130 0 0.3 0 0 2.6E-07 147.933 140 SAFJ 254 130 0 0.2 0 0 2.6E-07 147.933 141 SAFJ 254 130 0 0.1 0 0 2.6E-07 147.933 142 AFH 254 130 0 0 94 2 5.5E-06 137.932 143 AFJ 255 131 0 0 46 0 5.4E-07 137.932 143 FOUND SOLUTION: 137.932 in 690 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.144_o7_ar3_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 137.93183899094734102 Max constraint (1) : 4.3876013933186186478e-13 Alternative solution : MIP Alt. objective value : 137.93183684585150672 Max constraint (6) : 5.3682041212255171558e-07 Time used (seconds) : 689.17 Time limit (seconds) : 7200 Iterations used : 143 Iteration limit : -1 Function evaluations : 4326 Gradient evaluations : 269 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.1 % MIP time usage : 99.9 % Optimal/total MIPs : 2/143 NLP solver calls : 143 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_ar3_1.gms(669) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_ar3_1.gms Stop 09/14/12 16:03:56 elapsed 0:11:29.209 @04 1347631436 ----------------------------- Fr 14. Sep 16:03:56 CEST 2012 ----------------------------- =ready= Linux opt213 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_ar4_1.gms =========== ----------------------------- Fr 14. Sep 16:01:10 CEST 2012 ----------------------------- @03 1347631270 --- Job o7_ar4_1.gms Start 09/14/12 16:01:10 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_ar4_1.gms(669) 2 Mb --- Starting execution: elapsed 0:00:00.010 --- o7_ar4_1.gms(664) 3 Mb --- Generating MINLP model m --- o7_ar4_1.gms(669) 5 Mb --- 270 rows 113 columns 1,063 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_ar4_1.gms(669) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.016 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.145_o7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1063 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 7.3 NA 1 SAFH 14 1 0 1 2.2E+14 10 1.5 149.706 2 SAFH 18 2 0 1 1.9E+02 12 1.1 191.273 3 SAFH 22 3 0 1 1.5E+02 14 1.7 157.84 4 SAFG 24 4 0 1 2.2E+14 0 8.9E-16 156.536 4 FOUND SOLUTION: 156.536 (NLP) in 1 sec. 5 SAFH 24 4 0 1 2.2E+14 10 1.4 140.804 6 SAFH 28 5 0 1 98 14 0.19 183.542 7 SAFH 30 6 0 1 1.6E+02 12 0.18 195.818 8 SAFH 33 7 0 1 1.7E+02 14 0.071 184.986 9 SAFH 39 8 0 1 1.3E+02 14 0.014 163.994 10 SAFH 45 9 0 1 1.2E+02 14 0.15 177.706 11 SAFH 49 10 0 1 1.1E+02 14 0.098 167.272 12 SAFH 52 11 0 1 83 12 0.15 196.216 13 SAFH 54 12 0 1 1.6E+02 14 0.039 228.41 14 SAFH 59 13 0 1 1.4E+02 14 0.034 161.014 15 SAFH 65 14 0 1 1E+02 14 0.019 225.144 16 SAFH 68 15 0 1 1.6E+02 14 0.055 181.583 17 SAFH 70 16 0 1 1.3E+02 14 0.06 179.688 18 SAFH 72 17 0 1 92 14 0.15 172.241 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 73 18 0 1 1.4E+02 14 0.23 178.346 20 SAFH 75 19 0 1 1.6E+02 14 0.13 209.002 21 SAFH 78 20 0 1 1.5E+02 14 0.029 176.559 22 SAFH 83 21 0 1 1E+02 14 0.056 156.766 23 SAFH 86 22 0 1 1.6E+02 14 0.082 207.623 24 SAFH 90 23 0 1 1.5E+02 14 0.0081 192.044 25 SAFH 93 24 0 1 1.2E+02 14 0.032 168.943 26 SAFH 95 25 0 1 1.4E+02 14 0.014 159.964 27 SAFH 99 26 0 1 0.39 14 0.008 160.134 28 SAFH 100 27 0 1 1.7E+02 14 0.00033 158.004 29 SAFH 101 28 0 1 75 14 0.018 169.379 30 SAFH 103 29 0 1 1.6E+02 14 0.0084 163.844 31 SAFH 105 30 0 1 1.5E+02 14 0.039 168.695 32 SAFH 106 31 0 1 1.2E+02 14 0.04 174.419 33 SAFH 108 32 0 1 1.2E+02 14 0.029 192.286 34 SAFH 109 33 0 1 1.4E+02 14 0.013 189.667 35 SAFH 110 34 0 1 58 13 0.038 165.89 36 SAFH 112 35 0 1 93 14 0.005 175.795 37 SAFH 116 36 0 1 1.5E+02 12 0.0095 187.262 38 SAFH 118 37 0 1 1.2E+02 14 0.01 183.88 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 124 38 0 1 1.4E+02 14 0.04 165.192 40 SAFH 126 39 0 1 1.1E+02 14 0.008 179.098 41 SAFG 131 40 0 1 2.2E+14 0 7.9E-11 152.895 41 FOUND SOLUTION: 152.895 (NLP) in 11 sec. 42 SAFH 131 40 0 1 2.2E+14 12 0.0095 152.865 43 SAFG 133 41 0 1 2.2E+14 0 3.4E-10 151.71 43 FOUND SOLUTION: 151.71 (NLP) in 12 sec. 44 SAH 133 41 0 1 2.2E+14 12 0.0051 151.656 45 SAFG 136 42 0 1 2.2E+14 0 3.8E-14 143.565 45 FOUND SOLUTION: 143.565 (NLP) in 13 sec. 46 SAFH 136 42 0 1 2.2E+14 12 0.012 143.458 47 SAFH 137 43 0 1 1.5E+02 12 0.024 203.719 48 SAFH 140 44 0 1 0.3 8 0.0097 204.03 49 SAFH 142 45 0 1 1.2E+02 14 0.017 153.952 50 SAFH 144 46 0 1 1.6E+02 14 0.047 161.876 51 SAFH 145 47 0 1 1E+02 12 0.017 183.642 52 SAFH 146 48 0 1 1.1E+02 12 0.0086 194.839 53 SAFH 148 49 0 1 1.6E+02 14 0.011 146.406 54 SAFH 151 50 0 1 1.3E+02 14 0.011 161.713 55 SAFH 152 51 0 1 1.5E+02 12 0.064 169.632 56 SAFH 153 52 0 1 1.1E+02 14 0.0021 189.122 57 SAFH 155 53 0 1 0.028 12 0.00081 189.133 58 SAFH 156 54 0 1 0.009 10 0.00029 189.14 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 157 55 0 1 0.0017 8 0.00029 189.142 60 SAFH 158 56 0 1 0.00072 6 0.00016 189.143 61 SAFH 159 57 0 1 1.3E+02 14 0.0041 173.336 62 SAFH 163 58 0 1 1.2E+02 9 0.0048 188.127 63 SAFG 165 59 0 1 2.2E+14 0 3.9E-14 142.977 63 FOUND SOLUTION: 142.977 (NLP) in 18 sec. 64 SAFH 165 59 0 1 2.2E+14 12 0.02 142.839 65 SAFH 167 60 0 1 1.2E+02 8 0.023 210.922 66 SAFH 168 61 0 1 1.3E+02 12 0.0022 169.096 67 SAFH 170 62 0 1 1.5E+02 12 0.0043 165.794 68 SAFH 172 63 0 1 1.2E+02 14 0.0043 167.086 69 SAFG 176 64 0 1 2.2E+14 0 8.9E-16 137.206 69 FOUND SOLUTION: 137.206 (NLP) in 21 sec. 70 SAFH 176 64 0 1 2.2E+14 14 0.0086 137.14 71 SAFH 178 65 0 1 1.4E+02 12 0.0016 175.558 72 SAFH 180 66 0 1 1.5E+02 14 0.0035 163.172 73 SAFH 183 67 0 1 1.7E+02 14 0.002 164.519 74 SAFH 189 68 0 1 1.4E+02 10 0.0072 141.263 75 SAFH 192 69 0 1 0.12 11 0.0035 141.309 76 SAFH 194 70 0 1 1.2E+02 14 0.015 214.639 77 SAFH 196 71 0 1 1.2E+02 6 9.5E-06 141.341 78 SAFH 197 72 0 1 1.4E+02 14 0.0086 183.92 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 200 73 0 1 1.3E+02 14 0.001 178.768 80 SAFH 202 74 0 1 0.011 10 0.001 178.779 81 SAFH 203 75 0 1 0.005 8 0.00094 178.78 82 SAFH 204 76 0 1 1 6 0.00027 178.788 83 SAFH 205 77 0 1 1.5E+02 12 0.0074 169.713 84 SAFH 208 78 0 1 1.2E+02 13 0.0017 180.642 85 SAFH 209 79 0 1 1.6E+02 14 0.011 199.088 86 SAFH 211 80 0 1 0.14 12 0.0052 199.168 87 SAFH 216 81 0 1 1.6E+02 12 0.002 176.315 88 SAFH 218 82 0 1 1.1E+02 8 0.0018 163.812 89 SAFH 219 83 0 1 80 14 0.0062 195.387 90 SAFH 220 84 0 1 1.4E+02 8 0.0023 207.944 91 SAFH 223 85 0 1 1.4E+02 13 0.0041 163.987 92 SAFH 228 86 0 1 1.2E+02 8 7.6E-06 166.242 93 SAFH 229 87 0 1 1E+02 12 0.0026 182.283 94 SAFH 232 88 0 1 1.4E+02 10 0.00028 193.638 95 SAFH 233 89 0 1 1.3E+02 14 0.0023 159.364 96 SAFH 239 90 0 1 1.4E+02 12 0.0024 169.884 97 SAFH 241 91 0 1 1.1E+02 12 0.0013 169.163 98 SAFH 242 92 0 1 1.4E+02 10 0.0092 179.051 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 243 93 0 1 1.2E+02 8 0.00042 154.046 100 SAFH 244 94 0 1 1.2E+02 10 0.0018 179.092 101 SAFH 247 95 0 1 1.5E+02 8 3.4E-05 164.372 102 SAFH 248 96 0 1 19 6 3.3E-05 172.476 103 SAFH 249 97 0 1 0.00018 4 9.7E-06 172.477 104 SAFH 250 98 0 1 0.00018 2 4.1E-06 172.477 105 SAFH 251 99 0 1 1.7E+02 14 0.0078 163.611 106 SAFH 254 100 0 1 0.21 8 0.0044 163.683 107 SAFJL 256 101 0 1 1.6E+02 0 7.9E-08 178.79 108 SAFH 242 100 0 0.5 1.4E+02 12 0.00018 147.264 109 SAFH 243 101 0 0.5 1.5E+02 6 0.00099 147.491 110 SAFJ 244 102 0 0.5 1.1E+02 0 1.3E-07 142.977 111 SAFJ 244 102 0 0.3 7.9E-14 0 1.3E-07 142.977 112 SAFJ 244 102 0 0.2 0 0 1.3E-07 142.977 113 SAFJ 244 102 0 0.1 0 0 1.3E-07 142.977 114 AFG 244 102 0 0 2.2E+14 0 0 131.658 114 FOUND SOLUTION: 131.658 (NLP) in 728 sec. 115 AFH 244 102 0 0 2.2E+14 12 0.018 131.593 116 AFG 245 103 0 0 2.2E+14 0 8.9E-16 131.653 116 FOUND SOLUTION: 131.653 (NLP) in 1528 sec. 117 AFH 245 103 0 0 2.2E+14 12 0.00073 131.64 118 AFH 246 104 0 0 1 10 0.00073 131.649 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 247 105 0 0 0.0073 8 0.00018 131.652 120 AFH 248 106 0 0 0.00045 6 0.00018 131.652 121 AFH 249 107 0 0 2 4 0.00012 131.653 122 AFH 250 108 0 0 2 2 4.4E-05 131.653 123 AFJ 251 109 0 0 1 0 7.8E-08 131.653 123 FOUND SOLUTION: 131.653 in 4417 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.145_o7_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 131.6531381375591252 Max constraint (3) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 131.65313705712628689 Max constraint (2) : 7.7878791415741943638e-08 Time used (seconds) : 4416.42 Time limit (seconds) : 7200 Iterations used : 123 Iteration limit : -1 Function evaluations : 2352 Gradient evaluations : 265 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 10/123 NLP solver calls : 123 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_ar4_1.gms(669) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_ar4_1.gms Stop 09/14/12 17:14:46 elapsed 1:13:36.533 @04 1347635686 ----------------------------- Fr 14. Sep 17:14:46 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7_ar5_1.gms =========== ----------------------------- Fr 14. Sep 16:06:18 CEST 2012 ----------------------------- @03 1347631578 --- Job o7_ar5_1.gms Start 09/14/12 16:06:18 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7_ar5_1.gms(669) 2 Mb --- Starting execution: elapsed 0:00:00.011 --- o7_ar5_1.gms(664) 3 Mb --- Generating MINLP model m --- o7_ar5_1.gms(669) 5 Mb --- 270 rows 113 columns 1,063 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7_ar5_1.gms(669) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.017 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.146_o7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1063 elements of which 1% are non-linear(NL) included in 270 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 113 variables: Continuous(71), Binary(0), Integer(42) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=35 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (263) infeasibile 0 H 0 0 0 1 0 14 8.2 NA 1 SAFH 14 1 0 1 2.2E+14 8 1.5 158.278 2 SAFG 20 2 0 1 2.2E+14 0 0 169.241 2 FOUND SOLUTION: 169.241 (NLP) in 1 sec. 3 SAFH 20 2 0 1 2.2E+14 14 0.39 167.355 4 SAFH 22 3 0 1 62 14 1.5 181.624 5 SAFH 26 4 0 1 1.7E+02 8 1.6 153.735 6 SAFH 28 5 0 1 2E+02 12 0.037 173.259 7 SAFG 31 6 0 1 2.2E+14 0 8.9E-16 157.693 7 FOUND SOLUTION: 157.693 (NLP) in 1 sec. 8 SAFH 31 6 0 1 2.2E+14 14 0.83 154.633 9 SAFH 33 7 0 1 1E+02 14 0.47 175.643 10 SAFH 35 8 0 1 85 14 0.59 165.059 11 SAFH 36 9 0 1 74 12 0.26 162.574 12 SAFH 40 10 0 1 1.2E+02 14 0.72 178.28 13 SAFH 42 11 0 1 87 14 0.16 168.436 14 SAFH 43 12 0 1 1.6E+02 14 0.12 164.124 15 SAFH 47 13 0 1 1.6E+02 12 0.19 163.614 16 SAFH 49 14 0 1 85 14 0.11 165.23 17 SAFH 52 15 0 1 1.6E+02 14 0.084 206.241 18 SAFH 56 16 0 1 1.6E+02 14 0.0039 182.954 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 58 17 0 1 1.4E+02 12 0.052 158.903 20 SAFH 59 18 0 1 0.13 10 0.025 159.033 21 SAFH 62 19 0 1 76 12 0.095 149.662 22 SAFG 68 20 0 1 2.2E+14 0 3.8E-13 152.298 22 FOUND SOLUTION: 152.298 (NLP) in 2 sec. 23 SAFH 68 20 0 1 2.2E+14 14 0.089 151.392 24 SAFH 70 21 0 1 1E+02 14 0.16 168.043 25 SAFG 73 22 0 1 2.2E+14 0 9.7E-14 144.993 25 FOUND SOLUTION: 144.993 (NLP) in 2 sec. 26 SAFH 73 22 0 1 2.2E+14 14 0.1 143.415 27 SAFH 74 23 0 1 1.7E+02 12 0.0091 164.877 28 SAFG 75 24 0 1 2.2E+14 0 2E-14 136.478 28 FOUND SOLUTION: 136.478 (NLP) in 3 sec. 29 SAFH 75 24 0 1 2.2E+14 14 0.039 135.935 30 SAFH 78 25 0 1 1.7E+02 14 0.031 182.333 31 SAFH 79 26 0 1 1.8E+02 8 0.11 149.124 32 SAFH 81 27 0 1 1.3E+02 14 0.11 171.642 33 SAFH 83 28 0 1 1.6E+02 6 0.0034 144.881 34 SAFH 84 29 0 1 0.012 4 0.00045 144.889 35 SAFH 85 30 0 1 1.7E+02 11 0.0023 164.903 36 SAFH 89 31 0 1 1.7E+02 2 0.00041 144.89 37 SAFJL 90 32 0 1 0.0031 0 4E-07 144.893 38 SAFH 76 31 0 0.5 1.8E+02 4 0.00025 141.239 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFG 77 32 0 0.5 2.2E+14 0 6.2E-12 130.152 39 FOUND SOLUTION: 130.152 (NLP) in 9 sec. 40 SAFJ 77 32 0 0.5 2.2E+14 0 4E-07 130.152 40 FOUND SOLUTION: 130.152 in 11 sec. 41 SAFJ 77 32 0 0.3 0 0 4E-07 130.152 42 SAFJ 77 32 0 0.2 0 0 4E-07 130.152 43 SAFJ 77 32 0 0.1 0 0 4E-07 130.152 44 AFG 77 32 0 0 2.2E+14 0 1.1E-14 116.946 44 FOUND SOLUTION: 116.946 (NLP) in 296 sec. 45 AFH 77 32 0 0 2.2E+14 5 0.029 116.793 46 AFH 79 33 0 0 0.22 3 0.0034 116.938 47 AFJ 80 34 0 0 13 0 5.1E-07 116.946 47 FOUND SOLUTION: 116.946 in 645 sec. AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.146_o7_ar5_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 116.94584708699659359 Max constraint (10) : 1.0658141036401502788e-14 Alternative solution : MIP Alt. objective value : 116.94584521265028343 Max constraint (10) : 5.1443772797199471825e-07 Time used (seconds) : 644.99 Time limit (seconds) : 7200 Iterations used : 47 Iteration limit : -1 Function evaluations : 1624 Gradient evaluations : 94 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 4/47 NLP solver calls : 48 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7_ar5_1.gms(669) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7_ar5_1.gms Stop 09/14/12 16:17:03 elapsed 0:10:45.046 @04 1347632223 ----------------------------- Fr 14. Sep 16:17:03 CEST 2012 ----------------------------- =ready= Linux opt214 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o7.gms =========== ----------------------------- Fr 14. Sep 16:10:07 CEST 2012 ----------------------------- @03 1347631807 --- Job o7.gms Start 09/14/12 16:10:07 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o7.gms(509) 2 Mb --- Starting execution: elapsed 0:00:00.009 --- o7.gms(504) 3 Mb --- Generating MINLP model m --- o7.gms(509) 5 Mb --- 212 rows 115 columns 877 non-zeroes --- 71 nl-code 14 nl-non-zeroes --- 42 discrete-columns --- o7.gms(509) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.014 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.147_o7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 877 elements of which 2% are non-linear(NL) included in 212 constraints of which 7% are NL The NL constraint signs: =E=(0), =G=(0), =L=(14) The number of variables in NL elements are 14 from a total of 115 variables: Continuous(73), Binary(42), Integer(0) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (205) infeasibile 0 H 0 0 0 1 0 14 7.3 NA 1 SAFH 14 1 0 1 2.2E+14 14 1.1 166.519 2 SAFH 18 2 0 1 1.4E+02 14 1.5 145.82 3 SAFH 24 3 0 1 1.4E+02 14 1.6 144.934 4 SAFH 27 4 0 1 1.6E+02 14 0.19 183.33 5 SAFG 29 5 0 1 2.2E+14 0 4.4E-16 160.728 5 FOUND SOLUTION: 160.728 (NLP) in 1 sec. 6 SAFH 29 5 0 1 2.2E+14 14 0.18 158.597 7 SAFH 33 6 0 1 75 14 0.24 165.823 8 SAFH 35 7 0 1 1.7E+02 14 0.34 144.185 9 SAFH 41 8 0 1 1.4E+02 12 0.062 155.955 10 SAFG 42 9 0 1 2.2E+14 0 0 159.277 10 FOUND SOLUTION: 159.277 (NLP) in 2 sec. 11 SAFH 42 9 0 1 2.2E+14 14 0.058 158.655 12 SAFH 45 10 0 1 1.7E+02 14 0.18 178.185 13 SAFH 46 11 0 1 1.5E+02 12 0.028 162.433 14 SAFH 50 12 0 1 1.4E+02 14 0.16 153.768 15 SAFH 53 13 0 1 27 14 0.038 166.192 16 SAFH 56 14 0 1 1.3E+02 14 0.023 191.723 17 SAFH 61 15 0 1 1.5E+02 14 0.14 155.444 18 SAFH 63 16 0 1 1.2E+02 14 0.082 169.848 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFG 65 17 0 1 2.2E+14 0 8.9E-16 158.777 19 FOUND SOLUTION: 158.777 (NLP) in 4 sec. 20 SAFH 65 17 0 1 2.2E+14 14 0.15 157.774 21 SAFH 67 18 0 1 1.5E+02 14 0.059 181.084 22 SAFG 70 19 0 1 2.2E+14 0 4.4E-16 149.436 22 FOUND SOLUTION: 149.436 (NLP) in 5 sec. 23 SAFH 70 19 0 1 2.2E+14 14 0.014 149.32 24 SAFH 72 20 0 1 1.6E+02 14 0.069 186.686 25 SAFH 76 21 0 1 1.5E+02 14 0.11 164.507 26 SAFH 77 22 0 1 1.7E+02 14 0.064 198.897 27 SAFH 79 23 0 1 1.3E+02 14 0.0081 171.002 28 SAFH 80 24 0 1 0.05 14 0.0027 171.04 29 SAFH 83 25 0 1 85 14 0.057 195.922 30 SAFH 84 26 0 1 22 14 0.072 193.998 31 SAFH 86 27 0 1 94 14 0.015 163.503 32 SAFH 90 28 0 1 75 14 0.018 169.126 33 SAFH 92 29 0 1 0.19 12 0.0032 169.266 34 SAFH 94 30 0 1 75 12 0.0076 163.716 35 SAFH 95 31 0 1 0.51 12 0.0023 163.79 36 SAFH 99 32 0 1 1.4E+02 14 0.017 160.959 37 SAFH 102 33 0 1 1.7E+02 14 0.034 166.762 38 SAFH 104 34 0 1 1.5E+02 14 0.036 196.679 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 105 35 0 1 1.3E+02 14 0.025 176.933 40 SAFH 107 36 0 1 1.6E+02 14 0.053 187.839 41 SAFH 108 37 0 1 1.5E+02 14 0.02 193.834 42 SAFH 111 38 0 1 1.5E+02 14 0.018 174.153 43 SAFH 112 39 0 1 1.6E+02 14 0.031 160.037 44 SAFH 116 40 0 1 1.4E+02 14 0.025 204.441 45 SAFH 119 41 0 1 1.5E+02 14 0.013 189.639 46 SAFH 120 42 0 1 1.1E+02 14 0.0063 167.274 47 SAFH 122 43 0 1 0.074 12 0.00029 167.317 48 SAFH 123 44 0 1 0.0022 10 0.00018 167.318 49 SAFH 124 45 0 1 0.00045 8 9.4E-05 167.319 50 SAFH 125 46 0 1 1.3E+02 14 0.039 205.003 51 SAFH 127 47 0 1 1.5E+02 14 0.018 182.974 52 SAFH 129 48 0 1 1.3E+02 14 0.019 158.074 53 SAFH 132 49 0 1 1.5E+02 14 0.044 191.282 54 SAFH 134 50 0 1 1.1E+02 14 0.0026 187.259 55 SAFH 137 51 0 1 1.6E+02 12 0.0074 199.964 56 SAFH 139 52 0 1 1.5E+02 9 0.018 176.133 57 SAFH 141 53 0 1 1.6E+02 12 0.004 159.295 58 SAFH 144 54 0 1 1.2E+02 14 0.017 168.598 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 147 55 0 1 1.4E+02 11 0.00083 181.168 60 SAFH 148 56 0 1 1.3E+02 11 0.042 158.779 61 SAFH 151 57 0 1 1E+02 14 0.015 175.432 62 SAFH 152 58 0 1 0.7 14 0.0058 175.536 63 SAFH 156 59 0 1 1.2E+02 14 0.037 166.187 64 SAFH 159 60 0 1 1.4E+02 14 0.015 169.067 65 SAFH 161 61 0 1 1.5E+02 14 0.019 150.254 66 SAFH 163 62 0 1 1.7E+02 14 0.016 172.466 67 SAFH 166 63 0 1 1.6E+02 14 0.0068 168.186 68 SAFG 172 64 0 1 2.2E+14 0 7.2E-10 149.41 68 FOUND SOLUTION: 149.41 (NLP) in 16 sec. 69 SAFH 172 64 0 1 2.2E+14 14 0.006 149.311 70 SAFH 175 65 0 1 1.3E+02 12 0.029 169.943 71 SAFH 177 66 0 1 1.6E+02 10 0.0058 178.129 72 SAFH 182 67 0 1 1.4E+02 14 0.0059 198.084 73 SAFH 185 68 0 1 1.5E+02 13 0.0084 174.217 74 SAFH 187 69 0 1 1.3E+02 12 0.0079 193.813 75 SAFH 191 70 0 1 1.4E+02 14 0.0028 188.337 76 SAFG 193 71 0 1 2.2E+14 0 4E-10 147.087 76 FOUND SOLUTION: 147.087 (NLP) in 20 sec. 77 SAFH 193 71 0 1 2.2E+14 12 0.011 147.04 78 SAFH 194 72 0 1 1.1E+02 10 0.0029 161.155 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 197 73 0 1 1.5E+02 14 0.0038 161.691 80 SAFH 199 74 0 1 1.5E+02 12 0.003 185.857 81 SAFH 201 75 0 1 1.4E+02 14 0.005 166.334 82 SAFH 203 76 0 1 1.3E+02 10 0.00077 167.342 83 SAFH 204 77 0 1 90 14 0.0046 186.302 84 SAFH 205 78 0 1 1.5E+02 13 0.0062 188.373 85 SAFH 206 79 0 1 1.4E+02 14 0.008 171.633 86 SAFH 207 80 0 1 1.7E+02 12 0.0043 160.145 87 SAFH 209 81 0 1 0.07 10 0.0012 160.173 88 SAFH 211 82 0 1 0.018 6 0.00018 160.183 89 SAFH 212 83 0 1 1.6E+02 12 0.032 175.959 90 SAFH 214 84 0 1 1.4E+02 12 0.0063 195.957 91 SAFH 218 85 0 1 1.3E+02 11 0.0021 196.812 92 SAFH 220 86 0 1 1.4E+02 14 0.00062 155.716 93 SAFH 221 87 0 1 90 13 0.0074 170.153 94 SAFH 222 88 0 1 1.5E+02 14 0.0098 177.864 95 SAFH 224 89 0 1 1.1E+02 11 0.0025 196.843 96 SAFH 226 90 0 1 1.1E+02 11 0.0029 186.19 97 SAFG 230 91 0 1 2.2E+14 0 1.8E-15 146.537 97 FOUND SOLUTION: 146.537 (NLP) in 28 sec. 98 SAFH 230 91 0 1 2.2E+14 12 0.0072 146.515 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 231 92 0 1 1.3E+02 10 0.016 173.345 100 SAFH 233 93 0 1 1.6E+02 14 0.042 169.807 101 SAFH 234 94 0 1 93 14 0.0033 174.134 102 SAFH 238 95 0 1 1.6E+02 12 0.0019 190.621 103 SAFH 239 96 0 1 1.2E+02 7 0.0034 162.111 104 SAFH 241 97 0 1 0.022 5 0.0012 162.135 105 SAFH 242 98 0 1 46 12 0.0011 157.693 106 SAFH 243 99 0 1 0.0091 10 0.00012 157.697 107 SAFH 244 100 0 1 1.7E+02 14 0.0023 163.501 108 SAFH 248 101 0 1 1.4E+02 12 0.0032 159.291 109 SAFH 250 102 0 1 1.2E+02 14 0.0012 156.312 110 SAFH 251 103 0 1 1.5E+02 7 0.0025 173.434 111 SAFH 253 104 0 1 1.8E+02 14 0.011 197.243 112 SAFH 256 105 0 1 98 13 0.00025 161.589 113 SAFH 257 106 0 1 99 14 0.0036 185.868 114 SAFH 260 107 0 1 83 14 0.00097 204.957 115 SAFH 261 108 0 1 0.0099 12 0.00056 204.961 116 SAFH 262 109 0 1 0.0086 10 0.00015 204.966 117 SAFH 263 110 0 1 43 14 0.0057 185.789 118 SAFH 269 111 0 1 43 8 4.6E-05 204.966 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 270 112 0 1 0.0001 6 1.8E-05 204.967 120 SAFH 271 113 0 1 0.00013 4 3.4E-06 204.967 121 SAFH 272 114 0 1 1.1E+02 12 0.0002 150.877 122 SAFH 273 115 0 1 0.0024 10 7.7E-05 150.879 123 SAFH 274 116 0 1 0.00094 8 3.8E-05 150.879 124 SAFH 275 117 0 1 0.00017 6 9.3E-06 150.879 125 SAFH 276 118 0 1 7.4E-05 4 6.8E-06 150.879 126 SAFH 277 119 0 1 1.7E-05 2 2.2E-06 150.879 127 SAFH 278 120 0 1 82 9 0.00033 182.806 128 SAFJL 279 121 0 1 82 0 4.3E-09 150.879 129 SAFG 265 120 0 0.5 2.2E+14 0 1.8E-15 143.92 129 FOUND SOLUTION: 143.92 (NLP) in 40 sec. 130 SAFH 265 120 0 0.5 2.2E+14 12 0.00022 143.918 131 SAFH 266 121 0 0.5 1 10 2E-05 143.92 132 SAFH 267 122 0 0.5 96 8 4.3E-06 144.466 133 SAFH 268 123 0 0.5 1.3E+02 10 7.7E-05 152.878 134 SAFH 269 124 0 0.5 1.4E+02 11 0.002 145.013 135 SAFH 271 125 0 0.5 98 14 0.0015 145.261 136 SAFH 272 126 0 0.5 1.3E+02 14 0.0046 145.46 137 SAFH 275 127 0 0.5 1.4E+02 14 0.015 147.503 138 SAFH 276 128 0 0.5 1.4E+02 14 0.00021 162.871 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 277 129 0 0.5 1.4E+02 11 0.00014 161.457 140 SAFH 278 130 0 0.5 1.1E+02 12 0.001 148.39 141 SAFH 279 131 0 0.5 1.3E+02 10 0.0007 151.792 142 SAFH 280 132 0 0.5 1.6E+02 6 0.00014 159.261 143 SAFH 281 133 0 0.5 1.5E+02 7 3.1E-05 159.365 144 SAFH 282 134 0 0.5 1.2E+02 9 0.00037 149.507 145 SAFH 283 135 0 0.5 1.4E+02 8 0.00076 156.42 146 SAFH 284 136 0 0.5 69 5 2.1E-05 162.689 147 SAFH 285 137 0 0.5 1.2E+02 5 0.00013 152.195 148 SAFH 286 138 0 0.5 1.5E+02 11 0.0068 143.987 149 SAFH 288 139 0 0.5 1.6E+02 8 0.00011 154.167 150 SAFH 289 140 0 0.5 1.5E+02 8 0.00015 145.953 151 SAFH 290 141 0 0.5 1.6E+02 13 0.004 146.076 152 SAFH 291 142 0 0.5 1.8E+02 11 0.00013 144.914 153 SAFH 292 143 0 0.5 1.1E+02 12 0.012 146.311 154 SAFH 294 144 0 0.5 1.6E+02 11 6.9E-05 197.592 155 SAFH 295 145 0 0.5 1.3E+02 10 0.00014 150.912 156 SAFH 296 146 0 0.5 1.5E+02 10 0.00045 147.931 157 SAFH 297 147 0 0.5 1.4E+02 2 6E-05 179.577 158 SAFH 298 148 0 0.5 1.3E+02 13 9.8E-05 145.839 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFG 299 149 0 0.5 2.2E+14 0 2E-11 143.198 159 FOUND SOLUTION: 143.198 (NLP) in 309 sec. 160 SAFH 299 149 0 0.5 2.2E+14 14 0.00079 143.193 161 SAFG 300 150 0 0.5 2.2E+14 0 4.4E-16 137.932 161 FOUND SOLUTION: 137.932 (NLP) in 327 sec. 162 SAFH 300 150 0 0.5 2.2E+14 12 0.00015 137.93 163 SAFH 301 151 0 0.5 1.3E+02 9 1.2E-05 173.63 164 SAFH 302 152 0 0.5 4.1E-05 7 9.3E-06 173.63 165 SAFH 303 153 0 0.5 1.4E+02 12 0.0083 141.301 166 SAFH 304 154 0 0.5 1.5E+02 8 0.00014 154.543 167 SAFH 305 155 0 0.5 1E+02 3 1.5E-05 148.536 168 SAFH 306 156 0 0.5 86 10 0.00011 143.196 169 SAFH 307 157 0 0.5 1.3E+02 10 0.00053 166.22 170 SAFH 308 158 0 0.5 1.2E+02 10 0.00022 150.638 171 SAFH 309 159 0 0.5 1.4E+02 5 0.0027 174.221 172 SAFH 310 160 0 0.5 1.3E+02 7 6.6E-05 153.965 173 SAFH 311 161 0 0.5 1.6E+02 9 0.0028 156.349 174 SAFH 314 162 0 0.5 1.4E+02 10 0.0007 146.269 175 SAFH 315 163 0 0.5 1.6E+02 9 0.0028 147.695 176 SAFH 316 164 0 0.5 1.6E+02 8 6.1E-05 141.653 177 SAFH 317 165 0 0.5 92 3 2.5E-06 154.434 178 SAFH 318 166 0 0.5 1.9E+02 7 0.001 145.66 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 319 167 0 0.5 1.2E+02 1 1E-06 154.593 180 SAFJ 320 168 0 0.5 1.3E+02 0 3.7E-07 148.536 181 SAFJ 320 168 0 0.3 0 0 3.7E-07 148.536 182 SAFJ 320 168 0 0.2 0 0 3.7E-07 148.536 183 SAFJ 320 168 0 0.1 0 0 3.7E-07 148.536 184 AFG 320 168 0 0 2.2E+14 0 0 131.653 184 FOUND SOLUTION: 131.653 (NLP) in 2388 sec. 185 AFH 320 168 0 0 2.2E+14 14 0.0042 131.637 186 AFH 321 169 0 0 69 14 0.0004 131.65 187 AFH 322 170 0 0 63 12 0.00021 131.652 188 AFH 323 171 0 0 0.00053 10 0.00013 131.652 189 AFH 324 172 0 0 63 8 7.8E-05 131.652 190 AFH 325 173 0 0 1 6 2.1E-05 131.653 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.147_o7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 131.65313813755915362 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 131.65313813755915362 Max constraint (1) : 0 Time used (seconds) : 7202.06 Time limit (seconds) : 7200 Iterations used : 191 Iteration limit : -1 Function evaluations : 6622 Gradient evaluations : 340 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 8/191 NLP solver calls : 190 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o7.gms(509) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o7.gms Stop 09/14/12 18:10:09 elapsed 2:00:02.250 @04 1347639009 ----------------------------- Fr 14. Sep 18:10:09 CEST 2012 ----------------------------- =ready= Linux opt207 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o8_ar4_1.gms =========== ----------------------------- Fr 14. Sep 16:13:19 CEST 2012 ----------------------------- @03 1347631999 --- Job o8_ar4_1.gms Start 09/14/12 16:13:19 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o8_ar4_1.gms(852) 2 Mb --- Starting execution: elapsed 0:00:00.037 --- o8_ar4_1.gms(847) 3 Mb --- Generating MINLP model m --- o8_ar4_1.gms(852) 5 Mb --- 348 rows 145 columns 1,397 non-zeroes --- 81 nl-code 16 nl-non-zeroes --- 56 discrete-columns --- o8_ar4_1.gms(852) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.044 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.148_o8_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1397 elements of which 1% are non-linear(NL) included in 348 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(16) The number of variables in NL elements are 16 from a total of 145 variables: Continuous(89), Binary(0), Integer(56) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=44 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (339) infeasibile 0 H 0 0 0 1 0 16 8.3 NA 1 SAFH 10 1 0 1 2.6E+14 14 2.1 304.032 2 SAFH 14 2 0 1 1.3E+02 12 1.4 333.46 3 SAFG 18 3 0 1 2.6E+14 0 8.9E-16 323.027 3 FOUND SOLUTION: 323.027 (NLP) in 1 sec. 4 SAFH 18 3 0 1 2.6E+14 16 1.5 309.493 5 SAFH 22 4 0 1 2.4E+02 12 1.4 285.213 6 SAFH 24 5 0 1 1.8E+02 16 1.5 307.393 7 SAFH 26 6 0 1 2.2E+02 16 0.29 362.915 8 SAFH 27 7 0 1 1.9E+02 16 0.2 334.745 9 SAFH 31 8 0 1 2.2E+02 16 0.48 325.437 10 SAFG 34 9 0 1 2.6E+14 0 8.9E-16 301.725 10 FOUND SOLUTION: 301.725 (NLP) in 4 sec. 11 SAFH 34 9 0 1 2.6E+14 16 0.25 298.913 12 SAFH 35 10 0 1 1.9E+02 12 0.17 319.134 13 SAFH 37 11 0 1 1.9E+02 16 0.1 313.817 14 SAFH 40 12 0 1 2.2E+02 16 0.24 373.288 15 SAFH 43 13 0 1 1.8E+02 16 0.18 320.211 16 SAFH 49 14 0 1 2.3E+02 16 0.071 330.862 17 SAFH 51 15 0 1 1.8E+02 12 0.05 337.894 18 SAFH 54 16 0 1 2.3E+02 16 0.07 303.367 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 60 17 0 1 69 16 0.061 308.886 20 SAFH 64 18 0 1 1.8E+02 16 0.11 357.216 21 SAFH 67 19 0 1 2.2E+02 12 0.028 308.833 22 SAFH 72 20 0 1 1.7E+02 12 0.14 322.968 23 SAFH 73 21 0 1 2.3E+02 16 0.068 364.05 24 SAFH 81 22 0 1 1.4E+02 15 0.044 304.968 25 SAFH 83 23 0 1 1.8E+02 14 0.063 331.247 26 SAFH 85 24 0 1 1.9E+02 14 0.12 348.415 27 SAFG 88 25 0 1 2.6E+14 0 8.9E-16 292.567 27 FOUND SOLUTION: 292.567 (NLP) in 16 sec. 28 SAFH 88 25 0 1 2.6E+14 10 0.029 292.174 29 SAFH 91 26 0 1 2.3E+02 16 0.014 369.612 30 SAFH 96 27 0 1 1.7E+02 15 0.006 352.682 31 SAFH 98 28 0 1 62 16 0.024 400.844 32 SAFH 99 29 0 1 2.3E+02 10 0.01 315.744 33 SAFH 100 30 0 1 2.3E+02 13 0.0023 297.687 34 SAFH 102 31 0 1 1.8E+02 10 0.00019 321.259 35 SAFH 103 32 0 1 2.2E+02 16 0.018 302.674 36 SAFH 104 33 0 1 2.1E+02 14 0.095 308.562 37 SAFH 106 34 0 1 2.1E+02 12 0.07 319.256 38 SAFH 107 35 0 1 1.7E+02 12 0.011 342.283 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 108 36 0 1 0.033 10 0.0031 342.332 40 SAFH 110 37 0 1 1.9E+02 16 0.044 387.317 41 SAFH 112 38 0 1 1.6E+02 10 0.0079 305.315 42 SAFH 114 39 0 1 1.3E+02 16 0.02 355.907 43 SAFH 117 40 0 1 0.51 14 0.00038 356.396 44 SAFH 118 41 0 1 0.0027 12 0.00038 356.399 45 SAFH 119 42 0 1 0.0027 10 0.00031 356.402 46 SAFH 120 43 0 1 0.0034 8 0.00016 356.403 47 SAFH 121 44 0 1 0.00027 6 7.8E-05 356.403 48 SAFH 122 45 0 1 1.7E+02 16 0.021 345.389 49 SAFH 124 46 0 1 1.7E+02 14 0.067 309.612 50 SAFH 125 47 0 1 1.9E+02 10 0.00052 305.388 51 SAFH 126 48 0 1 0.0023 8 0.0003 305.39 52 SAFH 127 49 0 1 1.6E+02 14 0.15 294.643 53 SAFH 128 50 0 1 1.9E+02 16 0.036 371.978 54 SAFH 129 51 0 1 1.9E+02 16 0.022 336.546 55 SAFH 132 52 0 1 2.1E+02 16 0.066 373.76 56 SAFH 133 53 0 1 1.7E+02 16 0.035 315.371 57 SAFH 135 54 0 1 1.6E+02 16 0.023 322.11 58 SAFH 141 55 0 1 1.8E+02 10 0.0067 311.506 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 143 56 0 1 1.9E+02 16 0.0047 319.672 60 SAFH 144 57 0 1 0.052 14 0.0012 319.707 61 SAFG 145 58 0 1 2.6E+14 0 8.9E-16 283.865 61 FOUND SOLUTION: 283.865 (NLP) in 37 sec. 62 SAFH 145 58 0 1 2.6E+14 10 0.00015 283.863 63 SAFH 146 59 0 1 2E+02 10 0.00068 311.544 64 SAFH 147 60 0 1 0.01 8 0.00012 311.548 65 SAFH 148 61 0 1 0.00067 6 1E-05 311.549 66 SAFH 149 62 0 1 1.9E+02 16 0.0092 298.535 67 SAFH 151 63 0 1 1.9E+02 4 4.3E-06 311.549 68 SAFH 152 64 0 1 1.7E-05 2 3.1E-06 311.549 69 SAFJL 153 65 0 1 2.9E-05 0 4.4E-07 311.549 70 SAFG 143 64 0 0.5 2.6E+14 0 8.9E-16 281.466 70 FOUND SOLUTION: 281.466 (NLP) in 64 sec. 71 SAFH 143 64 0 0.5 2.6E+14 10 0.00012 281.464 72 SAFH 144 65 0 0.5 1.4E+02 8 0.00063 301.875 73 SAFH 145 66 0 0.5 1.6E+02 9 0.0011 303.07 74 SAFH 146 67 0 0.5 2.1E+02 16 0.016 284.568 75 SAFH 150 68 0 0.5 1.8E+02 5 4E-05 319.745 76 SAFG 151 69 0 0.5 2.6E+14 0 1.8E-10 276.973 76 FOUND SOLUTION: 276.973 (NLP) in 135 sec. 77 SAFH 151 69 0 0.5 2.6E+14 6 2.1E-05 276.973 78 SAFH 152 70 0 0.5 1.2E+02 8 5.5E-05 283.829 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 153 71 0 0.5 89 6 1.5E-05 299.783 80 SAFH 154 72 0 0.5 1.3E+02 3 3E-06 292.624 81 SAFH 155 73 0 0.5 1.3E+02 3 3.5E-06 276.978 82 SAFG 156 74 0 0.5 2.6E+14 0 9.6E-11 275.803 82 FOUND SOLUTION: 275.803 (NLP) in 211 sec. 83 SAFH 156 74 0 0.5 2.6E+14 6 4.7E-05 275.803 84 SAFH 157 75 0 0.5 1.5E+02 4 5.8E-06 281.487 85 SAFH 158 76 0 0.5 1.5E+02 4 1.6E-05 308.656 86 SAFG 159 77 0 0.5 2.6E+14 0 1.8E-15 271.291 86 FOUND SOLUTION: 271.291 (NLP) in 271 sec. 87 SAFH 159 77 0 0.5 2.6E+14 14 0.02 271.073 88 SAFG 161 78 0 0.5 2.6E+14 0 5.3E-13 271.041 88 FOUND SOLUTION: 271.041 (NLP) in 293 sec. 89 SAFH 161 78 0 0.5 2.6E+14 2 1.5E-06 271.041 90 SAFG 162 79 0 0.5 2.6E+14 0 1.8E-15 267.505 90 FOUND SOLUTION: 267.505 (NLP) in 322 sec. 91 SAFH 162 79 0 0.5 2.6E+14 14 0.042 267.335 92 SAFH 163 80 0 0.5 1.8E+02 16 0.032 273.157 93 SAFH 164 81 0 0.5 2.2E+02 8 1.5E-05 295.396 94 SAFH 165 82 0 0.5 1.4E+02 6 0.0021 309.274 95 SAFJ 166 83 0 0.5 1.3E+02 0 5.9E-07 273.084 96 SAFJ 166 83 0 0.3 0 0 5.9E-07 273.084 97 SAFJ 166 83 0 0.2 0 0 5.9E-07 273.084 98 SAFJ 166 83 0 0.1 0 0 5.9E-07 273.084 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFG 166 83 0 0 2.6E+14 0 4.4E-16 243.071 99 FOUND SOLUTION: 243.071 (NLP) in 3156 sec. 100 AFH 166 83 0 0 2.6E+14 14 0.016 242.857 101 AFH 169 84 0 0 2.1 12 0.005 242.995 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.148_o8_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 243.07074855849714368 Max constraint (7) : 4.4408920985006261617e-16 Alternative solution : MIP Alt. objective value : 243.07074855849714368 Max constraint (7) : 4.4408920985006261617e-16 Time used (seconds) : 7202.15 Time limit (seconds) : 7200 Iterations used : 102 Iteration limit : -1 Function evaluations : 4432 Gradient evaluations : 182 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 4/102 NLP solver calls : 101 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o8_ar4_1.gms(852) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o8_ar4_1.gms Stop 09/14/12 18:13:22 elapsed 2:00:02.503 @04 1347639202 ----------------------------- Fr 14. Sep 18:13:22 CEST 2012 ----------------------------- =ready= Linux opt203 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/o9_ar4_1.gms =========== ----------------------------- Fr 14. Sep 16:14:25 CEST 2012 ----------------------------- @03 1347632065 --- Job o9_ar4_1.gms Start 09/14/12 16:14:25 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- o9_ar4_1.gms(1057) 2 Mb --- Starting execution: elapsed 0:00:00.015 --- o9_ar4_1.gms(1052) 3 Mb --- Generating MINLP model m --- o9_ar4_1.gms(1057) 5 Mb --- 436 rows 181 columns 1,765 non-zeroes --- 91 nl-code 18 nl-non-zeroes --- 72 discrete-columns --- o9_ar4_1.gms(1057) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.023 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.149_o9_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1765 elements of which 1% are non-linear(NL) included in 436 constraints of which 4% are NL The NL constraint signs: =E=(0), =G=(0), =L=(18) The number of variables in NL elements are 18 from a total of 181 variables: Continuous(109), Binary(0), Integer(72) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=55 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (425) infeasibile 0 H 0 0 0 1 0 18 8.5 NA 1 SAFH 10 1 0 1 4.2E+14 16 2.4 309.205 2 SAFH 22 2 0 1 2.5E+02 18 2.4 315.845 3 SAFH 24 3 0 1 2.6E+02 16 0.19 362.338 4 SAFH 30 4 0 1 1.8E+02 18 1 363.689 5 SAFH 32 5 0 1 2.2E+02 16 1.3 329.904 6 SAFG 34 6 0 1 4.2E+14 0 5.5E-10 343.5 6 FOUND SOLUTION: 343.5 (NLP) in 3 sec. 7 SAFH 34 6 0 1 4.2E+14 18 0.15 339.138 8 SAFH 40 7 0 1 1.9E+02 18 0.29 360.581 9 SAFH 45 8 0 1 2.5E+02 16 0.29 388.941 10 SAFG 47 9 0 1 4.2E+14 0 3.6E-15 316.548 10 FOUND SOLUTION: 316.548 (NLP) in 7 sec. 11 SAFH 47 9 0 1 4.2E+14 18 0.14 311.694 12 SAFH 56 10 0 1 2.2E+02 18 0.03 329.375 13 SAFG 64 11 0 1 4.2E+14 0 8.9E-16 300.06 13 FOUND SOLUTION: 300.06 (NLP) in 11 sec. 14 SAFH 64 11 0 1 4.2E+14 18 0.17 294.074 15 SAFH 68 12 0 1 2.3E+02 18 0.25 320.361 16 SAFH 69 13 0 1 2.2E+02 14 0.063 324.704 17 SAFH 71 14 0 1 2.4E+02 18 0.1 381.845 18 SAFH 73 15 0 1 2.5E+02 16 0.3 282.544 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 74 16 0 1 2E+02 14 0.065 304.162 20 SAFG 75 17 0 1 4.2E+14 0 3E-10 287.686 20 FOUND SOLUTION: 287.686 (NLP) in 20 sec. 21 SAFH 75 17 0 1 4.2E+14 18 0.018 287.493 22 SAFH 77 18 0 1 1.9E+02 14 0.11 321.648 23 SAFH 80 19 0 1 2.7E+02 18 0.22 379.687 24 SAFH 83 20 0 1 2.1E+02 18 0.029 352.529 25 SAFH 85 21 0 1 2.2E+02 18 0.07 343.065 26 SAFH 87 22 0 1 2.2E+02 14 0.0013 323.454 27 SAFH 91 23 0 1 2.2E+02 14 0.072 332.598 28 SAFH 92 24 0 1 1.2 14 0.026 333.11 29 SAFH 95 25 0 1 2.4E+02 18 0.078 389.56 30 SAFH 97 26 0 1 2.3E+02 16 0.074 304.476 31 SAFH 99 27 0 1 2E+02 14 0.0059 378.585 32 SAFH 103 28 0 1 1.6E+02 15 0.023 379.077 33 SAFH 106 29 0 1 74 18 0.017 380.085 34 SAFH 114 30 0 1 1.8E+02 18 0.069 365.683 35 SAFH 116 31 0 1 2.2E+02 18 0.1 339.455 36 SAFH 119 32 0 1 2.2E+02 18 0.022 315.429 37 SAFH 124 33 0 1 2.1E+02 18 0.032 317.846 38 SAFH 127 34 0 1 2.2E+02 18 0.014 391.38 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 129 35 0 1 1.2E+02 18 0.033 373.774 40 SAFH 132 36 0 1 2E+02 16 0.08 356.851 41 SAFH 133 37 0 1 2.2E+02 15 0.0023 324.556 42 SAFH 135 38 0 1 2.5E+02 18 0.071 328.899 43 SAFH 136 39 0 1 1.8E+02 17 0.073 341.221 44 SAFH 138 40 0 1 2.2E+02 18 0.0023 327.055 45 SAFH 140 41 0 1 1E+02 18 0.024 323.211 46 SAFH 141 42 0 1 0.21 18 0.012 323.301 47 SAFH 142 43 0 1 0.079 18 0.005 323.375 48 SAFH 145 44 0 1 1.6E+02 16 0.072 309.225 49 SAFH 149 45 0 1 2.4E+02 18 0.052 389.175 50 SAFH 151 46 0 1 1.2E+02 16 0.0021 300.738 51 SAFH 156 47 0 1 72 15 0.00086 291.945 52 SAFH 157 48 0 1 0.0048 13 0.00086 291.951 53 SAFH 158 49 0 1 2E+02 18 0.026 339.643 54 SAFH 161 50 0 1 1.7E+02 18 0.00075 326.176 55 SAFH 162 51 0 1 0.051 14 0.00073 326.183 56 SAFH 163 52 0 1 2.2E+02 14 0.011 324.556 57 SAFH 167 53 0 1 2.2E+02 18 0.027 317.211 58 SAFH 169 54 0 1 2.2E+02 16 0.0096 361.29 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 172 55 0 1 1.3E+02 18 0.041 344.632 60 SAFH 174 56 0 1 1.9E+02 18 0.0075 327.812 61 SAFH 178 57 0 1 2.2E+02 14 0.018 382.764 62 SAFH 182 58 0 1 1.5E+02 18 0.028 338.477 63 SAFH 184 59 0 1 1.2E+02 18 0.014 303.59 64 SAFH 188 60 0 1 2.5E+02 11 0.00083 344.475 65 SAFH 189 61 0 1 2.4E+02 18 0.054 382.868 66 SAFH 190 62 0 1 1.9E+02 18 0.02 412.49 67 SAFH 193 63 0 1 2.2E+02 14 0.0021 356.469 68 SAFH 197 64 0 1 2.6E+02 18 0.016 349.87 69 SAFH 199 65 0 1 2.2E+02 18 0.013 381.219 70 SAFH 202 66 0 1 2.3E+02 18 0.0041 334.508 71 SAFH 204 67 0 1 2.2E+02 18 0.011 373.033 72 SAFH 205 68 0 1 0.14 18 0.0053 373.119 73 SAFH 208 69 0 1 2.1E+02 18 0.011 321.726 74 SAFH 210 70 0 1 0.22 18 0.0038 321.842 75 SAFH 214 71 0 1 2.2E+02 18 0.0098 352.501 76 SAFH 217 72 0 1 2.5E+02 16 0.0072 354.101 77 SAFH 223 73 0 1 2.4E+02 18 0.01 354.255 78 SAFH 224 74 0 1 2.9E+02 10 0.00017 307 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 225 75 0 1 2.4E+02 8 0.0066 303.224 80 SAFH 226 76 0 1 2.4E+02 18 0.012 373.953 81 SAFH 228 77 0 1 2.4E+02 12 0.04 357.833 82 SAFH 229 78 0 1 2E+02 16 0.0099 369.499 83 SAFH 230 79 0 1 1.5E+02 16 0.0088 353.75 84 SAFH 233 80 0 1 1.5E+02 18 0.00077 369.548 85 SAFH 234 81 0 1 0.046 16 0.00062 369.556 86 SAFH 235 82 0 1 1.3E+02 11 0.00078 361.62 87 SAFH 236 83 0 1 0.0079 10 0.00068 361.623 88 SAFH 237 84 0 1 94 16 0.0029 337.963 89 SAFH 240 85 0 1 2.4E+02 18 0.0037 414.791 90 SAFH 247 86 0 1 2.2E+02 18 0.0059 323.527 91 SAFH 250 87 0 1 2.5E+02 18 0.015 340.376 92 SAFH 254 88 0 1 2.4E+02 18 0.011 388.201 93 SAFH 256 89 0 1 2.4E+02 14 0.0085 321.049 94 SAFH 258 90 0 1 2.1E+02 9 0.0012 322.487 95 SAFH 259 91 0 1 2.4E+02 16 0.0038 367.341 96 SAFH 262 92 0 1 2.5E+02 8 0.0002 343.231 97 SAFH 263 93 0 1 2.6E+02 16 0.0079 329.132 98 SAFH 264 94 0 1 2.2E+02 18 0.013 336.076 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 267 95 0 1 2.2E+02 18 0.0059 341.439 100 SAFH 270 96 0 1 2.4E+02 12 0.0021 306.32 101 SAFH 272 97 0 1 2.6E+02 18 0.0054 361.101 102 SAFH 274 98 0 1 2.4E+02 12 0.00021 332.473 103 SAFH 275 99 0 1 2.2E+02 12 0.0027 308.475 104 SAFH 278 100 0 1 2.6E+02 14 0.0062 332.521 105 SAFH 279 101 0 1 1.8E+02 16 0.01 334.98 106 SAFH 281 102 0 1 1.8E+02 18 0.007 366.667 107 SAFH 287 103 0 1 2.5E+02 8 0.00014 277.423 108 SAFH 288 104 0 1 2.2E+02 18 0.0038 305.06 109 SAFH 291 105 0 1 2.2E+02 14 0.0043 365.595 110 SAFH 292 106 0 1 2.6E+02 9 0.0044 322.698 111 SAFH 294 107 0 1 2.6E+02 12 0.0016 365.614 112 SAFH 295 108 0 1 1.7E+02 12 0.0069 343.179 113 SAFH 297 109 0 1 1.3E+02 16 0.01 361.925 114 SAFH 299 110 0 1 1.6E+02 18 0.0068 304.74 115 SAFH 305 111 0 1 2.2E+02 16 0.0043 311.767 116 SAFH 309 112 0 1 2.2E+02 12 0.0081 325.036 117 SAFH 311 113 0 1 1.9E+02 16 0.0038 314.041 118 SAFH 313 114 0 1 2.1E+02 18 0.0015 322.885 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 319 115 0 1 2.3E+02 16 0.0031 303.902 120 SAFH 320 116 0 1 1.2E+02 18 0.0041 352.512 121 SAFH 322 117 0 1 2E+02 16 0.0053 342.798 122 SAFH 326 118 0 1 2.4E+02 18 0.0094 361.945 123 SAFH 328 119 0 1 2.2E+02 18 0.0029 320.954 124 SAFH 334 120 0 1 2.7E+02 14 0.0011 275.329 125 SAFH 336 121 0 1 2.2E+02 16 0.0014 339.792 126 SAFH 340 122 0 1 1.7E+02 16 0.016 359.117 127 SAFH 341 123 0 1 2.1E+02 16 0.0025 361.997 128 SAFH 346 124 0 1 71 12 0.00077 360.136 129 SAFH 347 125 0 1 2.2E+02 10 0.00016 338.062 130 SAFH 348 126 0 1 1.6E+02 6 0.0067 334.354 131 SAFH 350 127 0 1 2.3E+02 18 0.02 401.224 132 SAFH 351 128 0 1 1.6E+02 16 0.0081 344.927 133 SAFH 352 129 0 1 2.2E+02 14 0.0017 320.768 134 SAFH 354 130 0 1 2.2E+02 16 0.0079 319.523 135 SAFH 355 131 0 1 2.4E+02 18 0.0023 306.827 136 SAFH 357 132 0 1 2.4E+02 14 0.0029 373.933 137 SAFH 363 133 0 1 82 9 0.0029 345.06 138 SAFH 366 134 0 1 1E+02 9 3.1E-05 393.891 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 367 135 0 1 2.5E+02 18 0.015 344.442 140 SAFH 369 136 0 1 2.1E+02 16 0.0031 353.648 141 SAFH 371 137 0 1 2.4E+02 7 3.5E-06 345.123 142 SAFH 372 138 0 1 6.2E-05 5 2E-06 345.123 143 SAFH 373 139 0 1 1.8E+02 15 0.00099 300.76 144 SAFH 374 140 0 1 1.9E+02 12 1.2E-05 326.089 145 SAFH 375 141 0 1 2.2E+02 18 0.001 325.167 146 SAFH 377 142 0 1 2E+02 7 6.6E-06 364.027 147 SAFH 378 143 0 1 2.7E+02 16 0.023 330.939 148 SAFH 379 144 0 1 2.5E+02 18 0.0098 399.295 149 SAFH 380 145 0 1 1.4E+02 16 0.0037 381.268 150 SAFH 381 146 0 1 2.3E+02 14 0.0046 308.52 151 SAFH 382 147 0 1 2E+02 18 0.0069 315.978 152 SAFH 384 148 0 1 2.4E+02 14 0.0013 332.597 153 SAFH 385 149 0 1 2.2E+02 16 0.0029 344.603 154 SAFH 388 150 0 1 2.3E+02 18 0.0018 349.43 155 SAFH 391 151 0 1 2.2E+02 4 0.00071 342.935 156 SAFH 392 152 0 1 0.0093 2 0.00016 342.939 157 SAFH 393 153 0 1 2.5E+02 18 0.0078 294.129 158 SAFH 395 154 0 1 2.2E+02 14 0.0022 313.651 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 399 155 0 1 2.3E+02 12 0.041 289.738 160 SAFH 400 156 0 1 2.2E+02 18 0.0083 335.223 161 SAFH 401 157 0 1 2.2E+02 4 0.00014 286.9 162 SAFH 402 158 0 1 2.3E+02 11 0.0049 327.313 163 SAFH 403 159 0 1 0.052 8 0.0022 327.336 164 SAFH 405 160 0 1 2.2E+02 16 0.0048 304.029 165 SAFH 407 161 0 1 2.2E+02 16 0.0041 300.909 166 SAFH 409 162 0 1 1.9E+02 14 0.0029 331.123 167 SAFH 411 163 0 1 2.3E+02 18 0.0073 312.127 168 SAFH 413 164 0 1 0.077 18 0.002 312.156 169 SAFH 416 165 0 1 2.3E+02 13 0.0053 307.644 170 SAFH 417 166 0 1 2.4E+02 16 0.0028 397.159 171 SAFH 420 167 0 1 0.075 12 0.00038 397.22 172 SAFH 421 168 0 1 2.2E+02 18 0.0065 352.873 173 SAFH 422 169 0 1 2.9E+02 14 0.0054 317.134 174 SAFH 423 170 0 1 2.2E+02 13 0.0025 312.689 175 SAFH 426 171 0 1 2.2E+02 16 0.0069 358.058 176 SAFH 427 172 0 1 2.1E+02 14 0.00045 340.417 177 SAFH 428 173 0 1 1.6E+02 6 8.6E-05 318.858 178 SAFH 429 174 0 1 1.2E+02 4 5.8E-05 348.628 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 430 175 0 1 1.7E+02 15 0.0039 354.162 180 SAFH 432 176 0 1 3E+02 4 1.2E-05 919.25 181 SAFH 433 177 0 1 3.2E+02 18 0.0025 337.404 182 SAFH 436 178 0 1 1.8E+02 16 0.0013 354.21 183 SAFH 441 179 0 1 1.5E+02 18 0.0039 338.131 184 SAFH 448 180 0 1 2.6E+02 9 0.002 332.605 185 SAFH 450 181 0 1 2.5E+02 18 0.0037 377.126 186 SAFH 453 182 0 1 2.6E+02 12 0.0021 300.562 187 SAFH 455 183 0 1 2.1E+02 7 0.00032 304.473 188 SAFH 456 184 0 1 2.4E+02 15 0.0028 388.749 189 SAFH 458 185 0 1 1.7E+02 9 0.0003 358.356 190 SAFH 459 186 0 1 0.0028 7 0.0003 358.357 191 SAFH 460 187 0 1 0.0028 5 6.2E-06 358.358 192 SAFH 461 188 0 1 2.3E+02 6 0.0016 286.718 193 SAFH 462 189 0 1 1.8E+02 8 0.002 356.148 194 SAFH 463 190 0 1 1.9E+02 5 0.00045 365.401 195 SAFH 464 191 0 1 37 3 1.4E-06 358.358 196 SAFH 465 192 0 1 4.2E-06 2 1.3E-06 358.358 197 SAFH 466 193 0 1 2.3E+02 11 0.0013 295.393 198 SAFH 467 194 0 1 2.2E+02 16 0.0013 367.216 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 471 195 0 1 0.069 10 0.00016 367.244 200 SAFH 472 196 0 1 60 14 0.003 357.092 201 SAFH 473 197 0 0.5 2.5E+02 2 0.00015 291.28 202 SAFG 474 198 0 0.5 4.2E+14 0 8.9E-16 266.028 202 FOUND SOLUTION: 266.028 (NLP) in 410 sec. 203 SAFH 474 198 0 0.5 4.2E+14 16 0.0016 265.988 204 SAFH 477 199 0 0.5 2.1E+02 16 0.013 267.075 205 SAFH 478 200 0 0.5 2E+02 12 0.0076 304.121 206 SAFH 480 201 0 0.5 1.7E+02 12 0.00022 259.549 207 SAFH 481 202 0 0.5 1.5E+02 6 0.00014 312.915 208 SAFH 482 203 0 0.5 1.7E+02 10 0.00055 320.211 209 SAFH 483 204 0 0.5 2.6E+02 14 0.00084 288.134 210 SAFH 484 205 0 0.5 2.8E+02 9 0.00012 288.75 211 SAFH 485 206 0 0.5 1.7E+02 5 2.3E-05 291.788 212 SAFH 486 207 0 0.5 2.2E+02 8 0.00098 303.532 213 SAFH 487 208 0 0.5 1.9E+02 16 0.00046 281.567 214 SAFH 488 209 0 0.5 2.2E+02 4 2.4E-06 276.25 215 SAFH 489 210 0 0.5 2.4E+02 14 0.00017 317.995 216 SAFH 490 211 0 0.5 2.3E+02 14 0.0017 311.212 217 SAFH 494 212 0 0.5 2.2E+02 14 0.002 273.888 218 SAFH 495 213 0 0.5 2.2E+02 11 0.0013 285.891 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 496 214 0 0.5 2.4E+02 9 1.5E-05 324.05 220 SAFH 497 215 0 0.5 2.8E+02 14 0.003 285.741 221 SAFH 499 216 0 0.5 1.6E+02 8 0.00099 287.082 222 SAFH 500 217 0 0.5 2.4E+02 16 0.00049 268.077 223 SAFH 501 218 0 0.5 2E+02 8 0.00055 331.534 224 SAFJL 502 219 0 0.5 1.9E+02 0 1E-07 273.621 225 SAFH 492 218 0 0.3 1.7E+02 4 0.00016 261.897 226 SAFH 493 219 0 0.3 1.5E+02 8 0.0003 288.904 227 SAFH 494 220 0 0.3 2.2E+02 13 0.00061 279.958 228 SAFJ 495 221 0 0.3 2.4E+02 0 8.5E-07 274.823 229 SAFJ 495 221 0 0.2 0 0 8.5E-07 274.823 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.149_o9_ar4_1._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 266.02798870684642907 Max constraint (6) : 8.8817841970012523234e-16 Alternative solution : MIP Alt. objective value : 266.02798870684642907 Max constraint (6) : 8.8817841970012523234e-16 Time used (seconds) : 7202.38 Time limit (seconds) : 7200 Iterations used : 230 Iteration limit : -1 Function evaluations : 7668 Gradient evaluations : 505 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 0/230 NLP solver calls : 229 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- o9_ar4_1.gms(1057) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job o9_ar4_1.gms Stop 09/14/12 18:14:27 elapsed 2:00:02.714 @04 1347639267 ----------------------------- Fr 14. Sep 18:14:27 CEST 2012 ----------------------------- =ready= Linux opt230 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls12.gms =========== ----------------------------- Fr 14. Sep 16:15:21 CEST 2012 ----------------------------- @03 1347632121 --- Job tls12.gms Start 09/14/12 16:15:21 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls12.gms(1941) 2 Mb --- Starting execution: elapsed 0:00:00.030 --- tls12.gms(1936) 3 Mb --- Generating MINLP model m --- tls12.gms(1941) 6 Mb --- 385 rows 813 columns 7,205 non-zeroes --- 601 nl-code 288 nl-non-zeroes --- 668 discrete-columns --- tls12.gms(1941) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.044 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.150_tls12._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 7205 elements of which 4% are non-linear(NL) included in 385 constraints of which 3% are NL The NL constraint signs: =E=(0), =G=(0), =L=(12) The number of variables in NL elements are 156 from a total of 813 variables: Continuous(145), Binary(656), Integer(12) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=53 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (376) infeasibile 0 H 0 0 0 1 0 12 47 NA 1 SAFH 5 1 0 1 1.3E+03 11 48 112.8 2 SAFH 10 2 0 1 1.4E+03 12 40 9.1 3 SAFH 16 3 0 1 3.9E+02 12 40 9.3 4 SAFH 22 4 0 1 4.9E+02 12 40 9.4 5 SAFH 28 5 0 1 3.8E+02 12 30 18.7 6 SAFH 34 6 0 1 6.2E+02 12 40 9.5 7 SAFH 40 7 0 1 4.9E+02 12 48 9.2 8 SAFH 44 8 0 1 5.1E+02 12 39 18.8 9 SAFH 49 9 0 1 2E+02 11 48 18.9 10 SAFH 53 10 0 1 1E+02 11 39 28.2 11 SAFH 58 11 0 1 6.6E+02 12 40 9.6 12 SAFH 64 12 0 1 3.6E+02 11 40 18.9 13 SAFH 69 13 0 1 4E+02 12 40 19 14 SAFH 73 14 0 1 3.5E+02 11 30 28.3 15 SAFH 77 15 0 1 4.6E+02 11 40 19.1 16 SAFH 82 16 0 1 2.4E+02 11 30 28.4 17 SAFH 86 17 0 1 5.8E+02 12 40 9.7 18 SAFH 92 18 0 1 3.8E+02 12 39 19 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 97 19 0 1 3.6E+02 11 40 19.1 20 SAFH 102 20 0 1 3.6E+02 11 40 28.4 21 SAFH 106 21 0 1 6E+02 12 40 19.2 22 SAFH 110 22 0 1 1E+02 12 28 28.6 23 SAFH 114 23 0 1 3.2E+02 11 30 28.5 24 SAFH 120 24 0 1 4.1E+02 10 40 37.9 25 SAFH 125 25 0 1 5.7E+02 12 48 19.3 26 SAFH 127 26 0 1 3.6E+02 11 40 28.6 27 SAFH 132 27 0 1 2E+02 11 40 28.7 28 SAFH 136 28 0 1 1E+02 11 40 38 29 SAFH 140 29 0 1 4.6E+02 11 40 28.5 30 SAFH 144 30 0 1 1E+02 11 40 37.8 31 SAFH 148 31 0 1 3E+02 12 28 28.8 32 SAFH 152 32 0 1 1E+02 11 28 38.1 33 SAFH 155 33 0 1 2E+02 11 28 38.2 34 SAFH 158 34 0 1 1E+02 11 28 47.5 35 SAFH 161 35 0 1 6.1E+02 12 48 9.8 36 SAFH 164 36 0 1 2E+02 12 40 19.1 37 SAFH 169 37 0 1 4.5E+02 12 40 19.2 38 SAFH 173 38 0 1 1E+02 12 28 28.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 177 39 0 1 3E+02 12 30 19.3 40 SAFH 183 40 0 1 5.4E+02 12 30 19.4 41 SAFH 189 41 0 1 4.4E+02 11 30 28.7 42 SAFH 193 42 0 1 6.4E+02 12 40 18.5 43 SAFH 198 43 0 1 7.2E+02 12 40 28.7 44 SAFH 201 44 0 1 2E+02 11 40 28.6 45 SAFH 205 45 0 1 4.8E+02 11 40 28.9 46 SAFH 209 46 0 1 2.9E+02 11 30 38.2 47 SAFH 213 47 0 1 5.1E+02 11 30 28.8 48 SAFH 219 48 0 1 6.4E+02 12 40 9.9 49 SAFH 225 49 0 1 6.6E+02 12 40 19.5 50 SAFH 229 50 0 1 6.4E+02 12 40 18.3 51 SAFH 234 51 0 1 7.4E+02 12 28 29.1 52 SAFH 238 52 0 1 7E+02 12 32 18.1 53 SAFH 244 53 0 1 6.8E+02 11 40 28.8 54 SAFH 249 54 0 1 3.3E+02 11 28 38.4 55 SAFH 252 55 0 1 3.4E+02 12 28 29 56 SAFH 256 56 0 1 1.4E+02 11 28 38.6 57 SAFH 260 57 0 1 2.4E+02 11 28 38.3 58 SAFH 263 58 0 1 1.4E+02 10 28 47.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 266 59 0 1 5.4E+02 12 30 19.5 60 SAFH 272 60 0 1 6.2E+02 12 40 18.2 61 SAFH 277 61 0 1 6.1E+02 12 39 19 62 SAFH 282 62 0 1 2.1E+02 12 40 19.6 63 SAFH 287 63 0 1 3.9E+02 12 40 19.2 64 SAFH 291 64 0 1 6.2E+02 11 40 38 65 SAFH 294 65 0 1 3.8E+02 12 40 28.9 66 SAFH 297 66 0 1 8.6E+02 11 30 28.8 67 SAFH 301 67 0 1 3E+02 11 40 19.4 68 SAFH 306 68 0 1 2.7E+02 12 28 29 69 SAFH 310 69 0 1 4.9E+02 11 40 28.7 70 SAFH 314 70 0 1 2.8E+02 11 28 38.3 71 SAFH 317 71 0 1 8.6E+02 12 32 27.3 72 SAFH 322 72 0 1 4.1E+02 11 40 28.1 73 SAFH 326 73 0 1 5.7E+02 11 40 29.2 74 SAFH 330 74 0 1 2E+02 11 40 28.9 75 SAFH 334 75 0 1 1E+02 10 40 38.5 76 SAFH 338 76 0 1 3E+02 11 40 29.1 77 SAFH 342 77 0 1 8.6E+02 11 28 38.1 78 SAFH 346 78 0 1 3.8E+02 11 30 38.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 SAFH 352 79 0 1 9.4E+02 11 30 28 80 SAFH 358 80 0 1 3.8E+02 12 28 28.2 81 SAFH 364 81 0 1 3.5E+02 11 28 37.2 82 SAFH 369 82 0 1 6.9E+02 12 32 18.8 83 SAFH 375 83 0 1 4.5E+02 12 30 18.9 84 SAFH 382 84 0 1 8.5E+02 11 28 38.7 85 SAFH 387 85 0 1 8.3E+02 10 40 38.2 86 SAFH 392 86 0 1 7.3E+02 11 28 38.4 87 SAFH 395 87 0 1 1E+02 11 28 48 88 SAFH 398 88 0 1 5E+02 11 40 19.7 89 SAFH 403 89 0 1 2.9E+02 11 40 29.3 90 SAFH 408 90 0 1 7.2E+02 11 40 38.4 91 SAFH 412 91 0 1 5.7E+02 10 28 47.6 92 SAFH 415 92 0 1 3E+02 11 28 38.5 93 SAFH 418 93 0 1 1E+02 11 28 47.8 94 SAFH 421 94 0 1 2E+02 10 28 48 95 SAFH 424 95 0 1 2E+02 10 40 47.7 96 SAFH 428 96 0 1 8.8E+02 12 40 18.7 97 SAFH 432 97 0 1 6.3E+02 12 30 19 98 SAFH 439 98 0 1 5.8E+02 12 30 18.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 SAFH 446 99 0 1 8.5E+02 9 28 57.3 100 SAFH 449 100 0 1 6.1E+02 12 30 19.3 101 SAFH 455 101 0 1 5E+02 12 30 29 102 SAFH 459 102 0 1 4.7E+02 12 39 28.6 103 SAFH 462 103 0 1 5.7E+02 11 28 38.6 104 SAFH 466 104 0 1 4.8E+02 12 28 29.2 105 SAFH 470 105 0 1 1E+02 11 28 38.8 106 SAFH 474 106 0 1 4.7E+02 11 40 38.5 107 SAFH 476 107 0 1 2.8E+02 11 40 48.1 108 SAFH 480 108 0 1 4E+02 11 40 29.4 109 SAFH 484 109 0 1 1E+02 11 40 39 110 SAFH 488 110 0 1 3.7E+02 10 40 38.7 111 SAFH 492 111 0 1 7.8E+02 12 30 18.8 112 SAFH 499 112 0 1 8.4E+02 11 28 48.3 113 SAFH 502 113 0 1 3E+02 11 28 38.9 114 SAFH 505 114 0 1 1E+02 10 28 48.5 115 SAFH 508 115 0 1 2E+02 11 28 48.2 116 SAFH 511 116 0 1 1E+02 10 28 57.8 117 SAFH 514 117 0 1 5.9E+02 12 30 18.3 118 SAFH 521 118 0 1 7.8E+02 12 28 28.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 SAFH 525 119 0 1 9.5E+02 12 28 27.9 120 SAFH 530 120 0 1 8E+02 11 40 28.1 121 SAFH 534 121 0 1 4.6E+02 11 30 27.9 122 SAFH 539 122 0 1 6.1E+02 12 39 18.5 123 SAFH 544 123 0 1 6.1E+02 11 30 38.1 124 SAFH 548 124 0 1 9.4E+02 12 40 28 125 SAFH 552 125 0 1 3.7E+02 11 28 37.1 126 SAFH 557 126 0 1 7.2E+02 11 30 28.1 127 SAFH 562 127 0 1 6.6E+02 12 48 18.3 128 SAFH 566 128 0 1 4.5E+02 12 40 18.6 129 SAFH 570 129 0 1 5.9E+02 12 30 18.7 130 SAFH 577 130 0 1 6.7E+02 12 48 18.4 131 SAFH 580 131 0 1 6.9E+02 11 30 28.3 132 SAFH 586 132 0 1 2.9E+02 11 30 28.2 133 SAFH 592 133 0 1 3.3E+02 11 28 37.8 134 SAFH 597 134 0 1 4.8E+02 11 30 28.4 135 SAFH 603 135 0 1 4.4E+02 12 28 28.3 136 SAFH 608 136 0 1 3.4E+02 10 40 37.9 137 SAFH 613 137 0 1 5.4E+02 10 40 28.5 138 SAFH 618 138 0 1 1E+02 10 40 38.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 139 SAFH 622 139 0 1 4.3E+02 10 30 38 140 SAFH 628 140 0 1 6.8E+02 11 40 28.8 141 SAFH 632 141 0 1 3.1E+02 11 48 28.9 142 SAFH 634 142 0 1 8.4E+02 11 30 47.6 143 SAFH 638 143 0 1 4.1E+02 11 40 28.5 144 SAFH 642 144 0 1 6.6E+02 12 28 29 145 SAFH 646 145 0 1 1.3E+02 11 28 38.3 146 SAFH 649 146 0 1 2E+02 11 28 38.5 147 SAFH 652 147 0 1 1E+02 11 28 47.8 148 SAFH 655 148 0 1 4E+02 11 39 29.1 149 SAFH 660 149 0 1 8.6E+02 12 30 27.9 150 SAFH 664 150 0 1 8.1E+02 12 28 27.9 151 SAFH 670 151 0 1 7.6E+02 12 40 28.7 152 SAFH 673 152 0 1 4.1E+02 11 39 28.4 153 SAFH 678 153 0 1 3.5E+02 11 40 38 154 SAFH 682 154 0 1 5.7E+02 11 30 28.6 155 SAFH 687 155 0 1 1E+02 11 28 38.2 156 SAFH 691 156 0 1 7.9E+02 10 30 38 157 SAFH 696 157 0 1 4.4E+02 11 48 37.8 158 SAFH 700 158 0 1 6.7E+02 11 40 27.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 159 SAFH 705 159 0 1 9.6E+02 11 40 38.4 160 SAFH 709 160 0 1 2.6E+02 11 40 38.6 161 SAFH 713 161 0 1 6.1E+02 10 30 38.1 162 SAFH 717 162 0 1 1E+02 10 30 47.7 163 SAFH 721 163 0 1 3E+02 11 28 38.3 164 SAFH 726 164 0 1 7.6E+02 12 40 18.6 165 SAFH 730 165 0 1 5.7E+02 10 30 38.2 166 SAFH 735 166 0 1 4.2E+02 11 28 47.8 167 SAFH 738 167 0 1 6.1E+02 11 28 37.9 168 SAFH 742 168 0 1 3.9E+02 10 28 47 169 SAFH 746 169 0 1 5.6E+02 11 30 38.4 170 SAFH 751 170 0 1 6.2E+02 11 40 18.8 171 SAFH 756 171 0 1 7.5E+02 11 28 48 172 SAFH 760 172 0 1 2.1E+02 10 30 47.9 173 SAFH 765 173 0 1 7.9E+02 12 28 27.3 174 SAFH 770 174 0 1 1E+03 10 40 57.5 175 SAFH 774 175 0 1 4.7E+02 11 30 28.2 176 SAFH 779 176 0 1 5.2E+02 12 28 28.4 177 SAFH 784 177 0 1 4.2E+02 11 30 28.3 178 SAFH 788 178 0 1 3.7E+02 11 30 37.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 179 SAFH 792 179 0 1 6.4E+02 11 30 28.5 180 SAFH 797 180 0 1 4.8E+02 11 30 28.4 181 SAFH 801 181 0 1 1E+02 11 30 38 182 SAFH 805 182 0 1 3E+02 11 40 28.6 183 SAFH 809 183 0 1 2.1E+02 11 28 38.2 184 SAFH 812 184 0 1 2E+02 11 28 38.1 185 SAFH 815 185 0 1 1E+02 11 28 47.7 186 SAFH 818 186 0 1 7.2E+02 12 40 18.9 187 SAFH 822 187 0 1 4.3E+02 12 48 18.8 188 SAFH 824 188 0 1 4.9E+02 11 30 28 189 SAFH 829 189 0 1 7.1E+02 11 40 28.6 190 SAFH 834 190 0 1 2E+02 10 40 28.5 191 SAFH 839 191 0 1 1E+02 10 40 38.1 192 SAFH 844 192 0 1 7.3E+02 11 40 27.8 193 SAFH 848 193 0 1 1.8E+02 11 30 27.9 194 SAFH 854 194 0 1 5.8E+02 11 30 28.7 195 SAFH 860 195 0 1 3.7E+02 12 48 21.8 196 SAFH 862 196 0 1 6.8E+02 12 22 38.3 197 SAFH 869 197 0 1 4.2E+02 11 28 38.2 198 SAFH 873 198 0 1 5.3E+02 11 30 37 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 199 SAFH 878 199 0 1 5.9E+02 11 40 28.8 200 SAFH 882 200 0 1 3.9E+02 11 28 37.9 201 SAFH 887 201 0 0.5 8.6E+02 12 31 17.7 202 SAFH 892 202 0 0.5 6.4E+02 12 40 16.7 203 SAFH 897 203 0 0.5 7.7E+02 10 28 47.8 204 SAFH 900 204 0 0.5 9.3E+02 12 30 15.8 205 SAFH 907 205 0 0.5 7.4E+02 12 28 27.8 206 SAFH 913 206 0 0.5 7.8E+02 12 28 26.2 207 SAFH 918 207 0 0.5 7.1E+02 11 28 38.4 208 SAFH 922 208 0 0.5 2.7E+02 11 28 37.5 209 SAFH 926 209 0 0.5 2.6E+02 11 22 48.1 210 SAFH 931 210 0 0.5 6E+02 11 28 37.4 211 SAFH 935 211 0 0.5 6.8E+02 12 30 18.4 212 SAFH 942 212 0 0.5 6.5E+02 11 30 37.5 213 SAFH 946 213 0 0.5 9E+02 12 22 27.6 214 SAFH 952 214 0 0.5 5.7E+02 12 40 15.3 215 SAFH 957 215 0 0.5 5.8E+02 11 28 36.9 216 SAFH 962 216 0 0.5 7.2E+02 12 28 28.7 217 SAFH 967 217 0 0.5 6.7E+02 12 30 17.2 218 SAFH 974 218 0 0.5 7.3E+02 11 31 27.1 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 219 SAFH 980 219 0 0.5 8.2E+02 12 28 28.7 220 SAFH 985 220 0 0.5 5.6E+02 11 22 36.8 221 SAFH 990 221 0 0.5 6.2E+02 12 22 28 222 SAFH 996 222 0 0.5 7.9E+02 11 30 28.4 223 SAFH 1000 223 0 0.5 7.4E+02 12 30 16.4 224 SAFH 1007 224 0 0.5 7.6E+02 10 30 37.6 225 SAFH 1012 225 0 0.5 6E+02 11 40 17.9 226 SAFH 1017 226 0 0.5 5.7E+02 12 30 15.8 227 SAFH 1024 227 0 0.5 5.5E+02 12 28 26.5 228 SAFH 1031 228 0 0.5 7.9E+02 12 28 27.8 229 SAFH 1035 229 0 0.5 5.5E+02 12 24 25 230 SAFH 1042 230 0 0.5 8.3E+02 11 28 37.7 231 SAFH 1046 231 0 0.5 8.8E+02 12 30 18 232 SAFH 1052 232 0 0.5 7.2E+02 11 22 37.8 233 SAFH 1057 233 0 0.5 8E+02 12 28 22 234 SAFH 1064 234 0 0.5 5E+02 11 28 24.6 235 SAFH 1071 235 0 0.5 6.9E+02 12 28 22.8 236 SAFH 1078 236 0 0.5 5.2E+02 12 23 24.7 237 SAFH 1085 237 0 0.5 6.1E+02 12 24 26.1 238 SAFH 1092 238 0 0.5 2.7E+02 12 27 23 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 239 SAFH 1099 239 0 0.5 7.5E+02 12 22 28.3 240 SAFH 1105 240 0 0.5 6.4E+02 12 30 24.1 241 SAFH 1111 241 0 0.5 6.8E+02 12 22 27 242 SAFH 1117 242 0 0.5 6.5E+02 12 28 28 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.150_tls12._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : No Solution Returned Exit comment : No Issues Objective value : NA Time used (seconds) : 7202.11 Time limit (seconds) : 7200 Iterations used : 243 Iteration limit : -1 Function evaluations : 7104 Gradient evaluations : 1122 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 0/243 NLP solver calls : 242 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls12.gms(1941) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls12.gms Stop 09/14/12 18:15:24 elapsed 2:00:02.348 @04 1347639324 ----------------------------- Fr 14. Sep 18:15:24 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls2.gms =========== ----------------------------- Fr 14. Sep 16:17:03 CEST 2012 ----------------------------- @03 1347632223 --- Job tls2.gms Start 09/14/12 16:17:03 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls2.gms(120) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- tls2.gms(115) 3 Mb --- Generating MINLP model m --- tls2.gms(120) 5 Mb --- 25 rows 38 columns 210 non-zeroes --- 21 nl-code 8 nl-non-zeroes --- 33 discrete-columns --- tls2.gms(120) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.011 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.151_tls2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 210 elements of which 4% are non-linear(NL) included in 25 constraints of which 8% are NL The NL constraint signs: =E=(0), =G=(0), =L=(2) The number of variables in NL elements are 6 from a total of 38 variables: Continuous(5), Binary(31), Integer(2) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (24) infeasibile 0 H 0 0 0 1 0 2 7.9 NA 1 SAFH 2 1 0 1 1.1E+02 1 7 7.2 2 SAFH 3 2 0 1 41 1 8 7.2 3 SAFH 4 3 0 1 1.9E+02 1 8 8.1 4 SAFH 5 4 0 1 2.3E+02 1 8 7.2 5 SAFH 6 5 0 1 1.5E+02 1 7 8.1 6 SAFG 7 6 0 1 65 0 0 15.3 6 FOUND SOLUTION: 15.3 (NLP) in 1 sec. 7 SAFJL 7 6 0 1 0 0 0 15.3 8 SAFH 5 5 0 0.5 1.4E+02 2 4 2.3 9 SAFH 7 6 0 0.5 82 2 4 2.3 10 SAFH 9 7 0 0.5 14 1 1 4.3 11 SAFH 10 8 0 0.5 82 1 1 4.3 12 SAFH 11 9 0 0.5 90 1 8 7.3 13 SAFG 12 10 0 0.5 97 0 0 5.3 13 FOUND SOLUTION: 5.3 (NLP) in 1 sec. 14 SAFJ 12 10 0 0.5 0 0 0 5.3 15 SAFJ 12 10 0 0.3 0 0 0 5.3 16 SAFJ 12 10 0 0.2 0 0 0 5.3 17 SAFJ 12 10 0 0.1 0 0 0 5.3 18 AFJ 12 10 0 0 0 0 0 5.3 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.151_tls2._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 5.2999999999999998224 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 5.2999999999999998224 Max constraint (1) : 0 Time used (seconds) : 0.28 Time limit (seconds) : 7200 Iterations used : 18 Iteration limit : -1 Function evaluations : 110 Gradient evaluations : 14 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 2.5 % NLP time usage : 19.6 % MIP time usage : 77.9 % Optimal/total MIPs : 1/18 NLP solver calls : 19 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls2.gms(120) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls2.gms Stop 09/14/12 16:17:04 elapsed 0:00:00.316 @04 1347632224 ----------------------------- Fr 14. Sep 16:17:04 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls4.gms =========== ----------------------------- Fr 14. Sep 16:17:04 CEST 2012 ----------------------------- @03 1347632224 --- Job tls4.gms Start 09/14/12 16:17:04 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls4.gms(255) 2 Mb --- Starting execution: elapsed 0:00:00.006 --- tls4.gms(250) 3 Mb --- Generating MINLP model m --- tls4.gms(255) 5 Mb --- 65 rows 106 columns 614 non-zeroes --- 73 nl-code 32 nl-non-zeroes --- 89 discrete-columns --- tls4.gms(255) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.152_tls4._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 614 elements of which 5% are non-linear(NL) included in 65 constraints of which 6% are NL The NL constraint signs: =E=(0), =G=(0), =L=(4) The number of variables in NL elements are 20 from a total of 106 variables: Continuous(17), Binary(85), Integer(4) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (64) infeasibile 0 H 0 0 0 1 0 4 12 NA 1 SAFH 4 1 0 1 1.6E+02 2 12 7.2 2 SAFH 6 2 0 1 1.9E+02 3 11 6.3 3 SAFH 7 3 0 1 1.2E+02 3 5 6.3 4 SAFH 8 4 0 1 1.5E+02 2 12 6.3 5 SAFH 9 5 0 1 1.5E+02 3 7 6.3 6 SAFH 10 6 0 1 2.5E+02 1 2 22 7 SAFG 11 7 0 1 1.6E+02 0 0 17.7 7 FOUND SOLUTION: 17.7 (NLP) in 1 sec. 8 SAFJL 11 7 0 1 0 0 0 17.7 9 SAFH 7 6 0 0.5 3.6E+02 4 12 0 10 SAFH 11 7 0 0.5 2.2E+02 3 9 4.4 11 SAFH 14 8 0 0.5 1.3E+02 4 9 3.5 12 SAFH 17 9 0 0.5 1.4E+02 4 5 5.6 13 SAFH 20 10 0 0.5 1.9E+02 2 7 5.8 14 SAFH 22 11 0 0.5 1.9E+02 4 5 5.8 15 SAFH 25 12 0 0.5 1.8E+02 2 11 6.2 16 SAFH 27 13 0 0.5 1.6E+02 3 7 5.7 17 SAFH 29 14 0 0.5 2E+02 2 12 6.1 18 SAFH 31 15 0 0.5 1.6E+02 3 6 7.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 34 16 0 0.5 1.5E+02 3 5 6.8 20 SAFH 36 17 0 0.5 1.6E+02 2 5 9.6 21 SAFH 38 18 0 0.5 1.3E+02 3 3 7.4 22 SAFH 39 19 0 0.5 1.3E+02 2 6 7 23 SAFH 41 20 0 0.5 95 2 2 8 24 SAFH 43 21 0 0.5 95 3 3 7.7 25 SAFH 46 22 0 0.5 1.2E+02 4 3 6.8 26 SAFH 49 23 0 0.5 93 2 2 7.6 27 SAFH 51 24 0 0.5 1.5E+02 2 3 7.4 28 SAFH 52 25 0 0.5 1.6E+02 2 8 6.7 29 SAFH 53 26 0 0.5 1.2E+02 3 3 7.6 30 SAFH 54 27 0 0.5 98 3 3 7 31 SAFH 57 28 0 0.5 1.1E+02 2 5 9 32 SAFH 59 29 0 0.5 1.2E+02 3 2 7.6 33 SAFH 62 30 0 0.5 1.5E+02 3 3 6.9 34 SAFH 65 31 0 0.5 1.3E+02 2 2 8 35 SAFH 67 32 0 0.5 1.6E+02 2 2 10 36 SAFH 69 33 0 0.5 67 2 5 6.5 37 SAFH 71 34 0 0.5 1E+02 3 1 7.6 38 SAFH 74 35 0 0.5 1.4E+02 1 1 9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFG 75 36 0 0.5 1.9E+02 0 0 9.4 39 FOUND SOLUTION: 9.4 (NLP) in 5 sec. 40 SAFJ 75 36 0 0.5 0 0 0 9.4 41 SAFJ 75 36 0 0.3 0 0 0 9.4 42 SAFJ 75 36 0 0.2 0 0 0 9.4 43 SAFJ 75 36 0 0.1 0 0 0 9.4 44 AFH 75 36 0 0 1.6E+02 4 10 5.4 45 AFH 76 37 0 0 2.5E+02 2 7 6.2 46 AFH 78 38 0 0 1.7E+02 3 6 6.3 47 AFH 79 39 0 0 1.9E+02 2 8 6.4 48 AFH 80 40 0 0 1.1E+02 3 7 6.4 49 AFH 81 41 0 0 1.5E+02 2 7 6.5 50 AFH 82 42 0 0 76 3 3 6.5 51 AFH 85 43 0 0 1.4E+02 3 7 6.6 52 AFH 86 44 0 0 78 4 4 6.6 53 AFH 88 45 0 0 1.7E+02 3 7 6.7 54 AFH 89 46 0 0 83 3 6 6.8 55 AFH 90 47 0 0 1.2E+02 2 7 6.9 56 AFH 92 48 0 0 2E+02 3 4 7.3 57 AFH 93 49 0 0 1.6E+02 2 4 7.3 58 AFH 94 50 0 0 1.9E+02 3 3 7.3 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 95 51 0 0 94 3 1 7.3 60 AFH 98 52 0 0 94 2 3 7.3 61 AFH 99 53 0 0 1.3E+02 2 5 7.3 62 AFH 100 54 0 0 1.5E+02 3 3 7.3 63 AFH 101 55 0 0 45 3 3 7.3 64 AFH 102 56 0 0 1.9E+02 1 3 7.3 65 AFH 103 57 0 0 1.1E+02 3 3 7.3 66 AFH 104 58 0 0 1.3E+02 2 3 7.3 67 AFH 105 59 0 0 1.2E+02 3 1 7.3 68 AFH 108 60 0 0 1.6E+02 3 3 7.3 69 AFH 109 61 0 0 1.7E+02 2 3 7.3 70 AFH 110 62 0 0 2E+02 1 3 7.4 71 AFH 111 63 0 0 2E+02 3 1 7.4 72 AFH 114 64 0 0 1.6E+02 2 4 7.4 73 AFH 115 65 0 0 1.4E+02 3 1 7.4 74 AFH 118 66 0 0 1.4E+02 2 4 7.4 75 AFH 119 67 0 0 58 3 1 7.4 76 AFH 122 68 0 0 1.6E+02 3 3 7.4 77 AFH 123 69 0 0 2.1E+02 2 3 7.5 78 AFH 125 70 0 0 2.1E+02 2 5 7.5 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 79 AFH 126 71 0 0 1.1E+02 2 3 7.5 80 AFH 127 72 0 0 1E+02 2 4 7.5 81 AFH 128 73 0 0 2.2E+02 3 3 7.5 82 AFH 129 74 0 0 1.1E+02 3 3 7.5 83 AFH 130 75 0 0 1.9E+02 3 1 7.5 84 AFH 133 76 0 0 1.2E+02 2 3 7.5 85 AFH 134 77 0 0 1.6E+02 3 2 7.6 86 AFH 137 78 0 0 1.6E+02 3 3 7.6 87 AFH 138 79 0 0 1.7E+02 3 1 7.6 88 AFH 141 80 0 0 1.5E+02 2 3 7.6 89 AFH 142 81 0 0 1.3E+02 3 1 7.6 90 AFH 145 82 0 0 1.8E+02 2 2 7.6 91 AFH 147 83 0 0 1.8E+02 2 2 7.6 92 AFH 149 84 0 0 1.4E+02 3 1 7.6 93 AFH 152 85 0 0 32 2 3 7.6 94 AFH 153 86 0 0 1.3E+02 2 2 7.6 95 AFH 155 87 0 0 1.9E+02 3 1 7.6 96 AFH 158 88 0 0 1.4E+02 1 4 7.6 97 AFH 159 89 0 0 1.7E+02 3 1 7.6 98 AFH 162 90 0 0 2.2E+02 2 7 7.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 99 AFH 163 91 0 0 2.2E+02 3 1 7.6 100 AFH 166 92 0 0 1.4E+02 3 1 7.7 101 AFH 169 93 0 0 91 3 1 7.7 102 AFH 172 94 0 0 1.6E+02 3 3 7.7 103 AFH 173 95 0 0 1.5E+02 2 3 7.7 104 AFH 174 96 0 0 1.7E+02 2 2 7.7 105 AFH 176 97 0 0 1.5E+02 3 1 7.7 106 AFH 179 98 0 0 1.4E+02 3 1 7.7 107 AFH 182 99 0 0 1.3E+02 2 3 7.7 108 AFH 183 100 0 0 1.4E+02 2 4 7.8 109 AFH 185 101 0 0 1.1E+02 3 2 7.8 110 AFH 188 102 0 0 1.4E+02 2 2 7.8 111 AFH 190 103 0 0 99 3 1 7.8 112 AFH 193 104 0 0 1.2E+02 3 2 7.8 113 AFH 196 105 0 0 1.1E+02 2 3 7.8 114 AFH 197 106 0 0 1.4E+02 3 2 7.8 115 AFH 200 107 0 0 1E+02 2 3 7.8 116 AFH 201 108 0 0 1.6E+02 3 1 7.9 117 AFH 204 109 0 0 1.4E+02 1 3 7.9 118 AFH 205 110 0 0 1.1E+02 2 3 7.9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 119 AFH 206 111 0 0 1E+02 2 3 7.9 120 AFH 207 112 0 0 2.3E+02 2 4 7.9 121 AFH 208 113 0 0 1.4E+02 3 1 7.9 122 AFH 211 114 0 0 1.7E+02 2 3 7.9 123 AFH 212 115 0 0 1.6E+02 3 1 8 124 AFH 215 116 0 0 1.4E+02 1 3 8 125 AFH 216 117 0 0 1.4E+02 3 1 8 126 AFH 219 118 0 0 1.1E+02 2 2 8 127 AFH 221 119 0 0 73 3 2 8 128 AFH 224 120 0 0 1.1E+02 3 1 8 129 AFH 227 121 0 0 1.4E+02 2 2 8 130 AFH 229 122 0 0 1.9E+02 1 1 8.3 131 AFH 230 123 0 0 1.6E+02 1 3 8.3 132 AFG 231 124 0 0 1.4E+02 0 0 8.3 132 FOUND SOLUTION: 8.3 (NLP) in 219 sec. 133 AFJ 231 124 0 0 0 0 0 8.3 AlphaECP: Iteration procedure terminated normally ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.152_tls4._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Normal Completion Model Status : Locally Optimal Exit comment : No Issues Final solution : NLP Objective value : 8.3000000000000007105 Max constraint (1) : 0 Alternative solution : MIP Alt. objective value : 8.3000000000000007105 Max constraint (1) : 0 Time used (seconds) : 224.47 Time limit (seconds) : 7200 Iterations used : 133 Iteration limit : -1 Function evaluations : 1176 Gradient evaluations : 235 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.2 % MIP time usage : 99.8 % Optimal/total MIPs : 90/133 NLP solver calls : 134 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls4.gms(255) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls4.gms Stop 09/14/12 16:20:48 elapsed 0:03:44.506 @04 1347632448 ----------------------------- Fr 14. Sep 16:20:48 CEST 2012 ----------------------------- =ready= Linux opt227 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls5.gms =========== ----------------------------- Fr 14. Sep 16:20:49 CEST 2012 ----------------------------- @03 1347632449 --- Job tls5.gms Start 09/14/12 16:20:49 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls5.gms(357) 2 Mb --- Starting execution: elapsed 0:00:00.007 --- tls5.gms(352) 3 Mb --- Generating MINLP model m --- tls5.gms(357) 5 Mb --- 91 rows 162 columns 956 non-zeroes --- 111 nl-code 50 nl-non-zeroes --- 136 discrete-columns --- tls5.gms(357) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.010 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.153_tls5._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 956 elements of which 5% are non-linear(NL) included in 91 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(5) The number of variables in NL elements are 30 from a total of 162 variables: Continuous(26), Binary(131), Integer(5) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (89) infeasibile 0 H 0 0 0 1 0 5 15 NA 1 SAFH 3 1 0 1 1.7E+02 3 15 6.2 2 SAFH 4 2 0 1 2.3E+02 5 15 3.4 3 SAFG 5 3 0 1 4.1E+02 0 0 27.5 3 FOUND SOLUTION: 27.5 (NLP) in 1 sec. 4 SAFJL 5 3 0 1 0 0 0 27.5 5 SAFH 2 2 0 0.5 4.1E+02 5 15 0 6 SAFH 5 3 0 0.5 2E+02 5 8 4.5 7 SAFH 9 4 0 0.5 1.8E+02 4 12 5.3 8 SAFH 13 5 0 0.5 2E+02 5 15 2.5 9 SAFH 14 6 0 0.5 1.9E+02 4 12 3.1 10 SAFH 18 7 0 0.5 2.7E+02 5 12 3.2 11 SAFH 22 8 0 0.5 2.6E+02 5 6 6 12 SAFH 26 9 0 0.5 2.6E+02 4 15 4.1 13 SAFH 27 10 0 0.5 1.9E+02 4 6 6.6 14 SAFH 30 11 0 0.5 3E+02 5 6 5.8 15 SAFH 35 12 0 0.5 2E+02 5 5 7.4 16 SAFH 39 13 0 0.5 2.7E+02 4 7 5.2 17 SAFH 43 14 0 0.5 3.2E+02 2 6 11.3 18 SAFH 44 15 0 0.5 73 3 6 7.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 47 16 0 0.5 2.7E+02 4 8 5.4 20 SAFH 51 17 0 0.5 2.7E+02 2 6 8.7 21 SAFH 53 18 0 0.5 2.1E+02 4 6 7.8 22 SAFH 57 19 0 0.5 1.7E+02 3 6 7.7 23 SAFH 59 20 0 0.5 3.2E+02 4 6 6.1 24 SAFH 63 21 0 0.5 3.3E+02 3 6 9.5 25 SAFH 66 22 0 0.5 2.2E+02 3 2 10.1 26 SAFH 69 23 0 0.5 2.1E+02 4 15 5.3 27 SAFH 70 24 0 0.5 3.3E+02 3 9 6.3 28 SAFH 73 25 0 0.5 2.6E+02 5 6 6.7 29 SAFH 78 26 0 0.5 2.5E+02 2 6 8.8 30 SAFH 80 27 0 0.5 2.8E+02 3 6 9 31 SAFH 82 28 0 0.5 2.3E+02 4 5 8.2 32 SAFH 85 29 0 0.5 1.9E+02 4 5 7.7 33 SAFH 89 30 0 0.5 2.7E+02 3 6 7.6 34 SAFH 92 31 0 0.5 2.4E+02 3 6 14.6 35 SAFH 95 32 0 0.5 2.8E+02 5 5 7.1 36 SAFH 100 33 0 0.5 2.6E+02 2 10 9 37 SAFH 102 34 0 0.5 3.2E+02 4 6 6.8 38 SAFH 105 35 0 0.5 2.4E+02 5 2 8.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 110 36 0 0.5 2.3E+02 3 6 7.3 40 SAFH 113 37 0 0.5 1.9E+02 4 11 6.7 41 SAFH 114 38 0 0.5 2.6E+02 3 6 7.3 42 SAFH 117 39 0 0.5 2.6E+02 4 5 7.9 43 SAFH 120 40 0 0.5 2.2E+02 2 3 11.9 44 SAFH 121 41 0 0.5 2.7E+02 3 4 8.7 45 SAFH 123 42 0 0.5 2.1E+02 4 4 8.2 46 SAFH 127 43 0 0.5 2.4E+02 2 5 9 47 SAFH 129 44 0 0.5 2.9E+02 4 5 7.8 48 SAFH 132 45 0 0.5 2.8E+02 4 6 6.7 49 SAFH 135 46 0 0.5 1.1E+02 5 6 7.2 50 SAFH 139 47 0 0.5 3E+02 2 4 10.1 51 SAFH 141 48 0 0.5 3E+02 3 5 12 52 SAFH 144 49 0 0.5 2.4E+02 3 1 10.3 53 SAFH 147 50 0 0.5 3E+02 2 6 8.3 54 SAFG 149 51 0 0.5 3.2E+02 0 0 14.6 54 FOUND SOLUTION: 14.6 (NLP) in 445 sec. 55 SAFJ 149 51 0 0.5 0 0 0 14.6 56 SAFJ 149 51 0 0.3 0 0 0 14.6 57 SAFJ 149 51 0 0.2 0 0 0 14.6 58 SAFJ 149 51 0 0.1 0 0 0 14.6 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 AFH 149 51 0 0 3.1E+02 5 15 5.3 60 AFH 150 52 0 0 1.3E+02 5 9 5.5 61 AFH 151 53 0 0 2.5E+02 5 13 5.6 62 AFH 152 54 0 0 2.3E+02 5 8 5.6 63 AFH 155 55 0 0 2.2E+02 5 6 5.7 64 AFH 160 56 0 0 2.4E+02 5 15 5.9 65 AFH 161 57 0 0 2.5E+02 3 9 6.3 66 AFH 163 58 0 0 2.8E+02 5 11 6.3 67 AFH 164 59 0 0 2.2E+02 5 6 6.3 68 AFH 169 60 0 0 2.7E+02 4 10 6.5 69 AFH 171 61 0 0 2.4E+02 5 6 6.5 70 AFH 174 62 0 0 1.2E+02 5 11 6.5 71 AFH 175 63 0 0 1.4E+02 5 6 6.5 72 AFH 178 64 0 0 2.1E+02 5 8 6.6 73 AFH 180 65 0 0 2.2E+02 4 6 6.6 74 AFH 184 66 0 0 2.5E+02 5 5 6.7 75 AFH 187 67 0 0 2.8E+02 5 6 6.7 76 AFH 190 68 0 0 2.4E+02 5 6 6.7 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.153_tls5._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 14.599999999999999645 Max constraint (3) : -2 Alternative solution : MIP Alt. objective value : 14.599999999999999645 Max constraint (3) : -2 Time used (seconds) : 7202.01 Time limit (seconds) : 7200 Iterations used : 77 Iteration limit : -1 Function evaluations : 2470 Gradient evaluations : 197 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 19/77 NLP solver calls : 76 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls5.gms(357) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls5.gms Stop 09/14/12 18:20:51 elapsed 2:00:02.296 @04 1347639651 ----------------------------- Fr 14. Sep 18:20:51 CEST 2012 ----------------------------- =ready= Linux opt206 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls6.gms =========== ----------------------------- Fr 14. Sep 16:24:25 CEST 2012 ----------------------------- @03 1347632665 --- Job tls6.gms Start 09/14/12 16:24:25 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls6.gms(485) 2 Mb --- Starting execution: elapsed 0:00:00.013 --- tls6.gms(480) 3 Mb --- Generating MINLP model m --- tls6.gms(485) 5 Mb --- 121 rows 216 columns 1,370 non-zeroes --- 157 nl-code 72 nl-non-zeroes --- 179 discrete-columns --- tls6.gms(485) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.019 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.154_tls6._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 1370 elements of which 5% are non-linear(NL) included in 121 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(6) The number of variables in NL elements are 42 from a total of 216 variables: Continuous(37), Binary(173), Integer(6) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (117) infeasibile 0 H 0 0 0 1 0 6 16 NA 1 SAFH 4 1 0 1 5.4E+02 5 16 41.1 2 SAFH 8 2 0 1 4.6E+02 4 14 9.2 3 SAFH 12 3 0 1 3.3E+02 4 14 8.3 4 SAFH 16 4 0 1 3.2E+02 5 12 9.6 5 SAFH 19 5 0 1 2.9E+02 5 16 7 6 SAFH 21 6 0 1 2.7E+02 5 16 10.5 7 SAFH 23 7 0 1 2.6E+02 5 16 7.6 8 SAFH 26 8 0 1 3.9E+02 4 12 17.5 9 SAFH 30 9 0 1 3.9E+02 5 14 7.4 10 SAFH 34 10 0 1 2.7E+02 3 16 15.7 11 SAFH 36 11 0 1 1.7E+02 4 12 15.7 12 SAFH 39 12 0 1 4.9E+02 4 16 9.2 13 SAFH 41 13 0 1 4.5E+02 4 14 10.7 14 SAFH 44 14 0 1 3.9E+02 5 12 8.9 15 SAFH 48 15 0 1 2.1E+02 6 8 9.1 16 SAFH 53 16 0 1 4.2E+02 4 16 15.3 17 SAFH 57 17 0 1 3.7E+02 4 12 13.2 18 SAFH 59 18 0 1 3.6E+02 5 8 10.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 63 19 0 1 4.4E+02 4 16 8.3 20 SAFH 65 20 0 1 5E+02 3 14 18 21 SAFH 68 21 0 1 2.5E+02 4 14 10 22 SAFH 70 22 0 1 4.1E+02 3 8 22.8 23 SAFH 73 23 0 1 4.2E+02 3 7 15.6 24 SAFH 75 24 0 1 2.7E+02 2 8 24.9 25 SAFH 77 25 0 1 4.2E+02 4 8 13.1 26 SAFH 80 26 0 1 5.7E+02 3 8 36.1 27 SAFH 82 27 0 1 4.9E+02 4 12 15.9 28 SAFH 85 28 0 1 3.8E+02 2 7 20.2 29 SAFH 87 29 0 1 1.4E+02 4 8 14.4 30 SAFH 90 30 0 1 3.3E+02 5 9 9.5 31 SAFH 94 31 0 1 4E+02 3 10 13.9 32 SAFH 95 32 0 1 4.8E+02 1 5 38.1 33 SAFH 96 33 0 1 4.9E+02 2 14 14.3 34 SAFH 98 34 0 1 2.9E+02 3 14 15.2 35 SAFG 100 35 0 1 4.8E+02 0 0 39.1 35 FOUND SOLUTION: 39.1 (NLP) in 4 sec. 36 SAFJL 100 35 0 1 0 0 0 39.1 37 SAFH 96 34 0 0.5 4.3E+02 5 8 10.4 38 SAFH 101 35 0 0.5 1.9E+02 4 8 12.4 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 105 36 0 0.5 4.3E+02 3 8 17.8 40 SAFH 108 37 0 0.5 3.3E+02 6 8 8.6 41 SAFH 114 38 0 0.5 2.4E+02 6 12 6.2 42 SAFH 118 39 0 0.5 2.9E+02 2 10 14.6 43 SAFH 120 40 0 0.5 4.7E+02 4 7 12.6 44 SAFH 123 41 0 0.5 3.8E+02 3 12 9.9 45 SAFH 126 42 0 0.5 3.6E+02 5 4 12.7 46 SAFH 131 43 0 0.5 4.4E+02 5 5 11.3 47 SAFH 136 44 0 0.5 3.3E+02 5 5 13 48 SAFH 138 45 0 0.5 3.6E+02 3 3 17.8 49 SAFH 141 46 0 0.5 3.5E+02 5 10 7.8 50 SAFH 146 47 0 0.5 2.3E+02 5 8 10.4 51 SAFH 151 48 0 0.5 4.2E+02 2 10 13.6 52 SAFH 153 49 0 0.5 3E+02 5 4 13.5 53 SAFH 158 50 0 0.5 2.9E+02 4 10 9.6 54 SAFH 162 51 0 0.5 2.5E+02 5 6 11.5 55 SAFH 167 52 0 0.5 1.5E+02 6 6 10.7 56 SAFH 173 53 0 0.5 5.2E+02 2 2 41.1 57 SAFJ 175 54 0 0.5 1.6E+02 0 0 41.1 58 SAFH 175 54 0 0.3 5.4E+02 6 7 9 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 59 SAFH 181 55 0 0.3 3.5E+02 3 10 10.5 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.154_tls6._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 39.100000000000001421 Max constraint (1) : -3 Alternative solution : MIP Alt. objective value : 39.100000000000001421 Max constraint (1) : -3 Time used (seconds) : 7202.04 Time limit (seconds) : 7200 Iterations used : 60 Iteration limit : -1 Function evaluations : 2184 Gradient evaluations : 188 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 0/60 NLP solver calls : 59 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls6.gms(485) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls6.gms Stop 09/14/12 18:24:27 elapsed 2:00:02.298 @04 1347639867 ----------------------------- Fr 14. Sep 18:24:27 CEST 2012 ----------------------------- =ready= Linux opt217 3.1.10-1.16-desktop #1 SMP PREEMPT Wed Jun 27 05:21:40 UTC 2012 (d016078) x86_64 x86_64 x86_64 GNU/Linux @01 MINLP/instances/MINLPLib/gms/tls7.gms =========== ----------------------------- Fr 14. Sep 16:37:35 CEST 2012 ----------------------------- @03 1347633455 --- Job tls7.gms Start 09/14/12 16:37:35 LEX-LEG 23.9.2 x86_64/Linux GAMS Rev 239 Copyright (C) 1987-2012 GAMS Development. All rights reserved Licensee: Stefan Vigerske G120724/0001AV-GEN GAMS Development Corp DC7303 License for teaching and research at degree granting institutions --- Starting compilation --- tls7.gms(678) 2 Mb --- Starting execution: elapsed 0:00:00.047 --- tls7.gms(673) 3 Mb --- Generating MINLP model m --- tls7.gms(678) 5 Mb --- 155 rows 346 columns 2,258 non-zeroes --- 211 nl-code 98 nl-non-zeroes --- 296 discrete-columns --- tls7.gms(678) 3 Mb --- Executing ALPHAECP: elapsed 0:00:00.055 AlphaECP Jul 4, 2012 23.9.2 LEX 34973.35015 LEG x86_64/Linux Reading parameter(s) from "/home/optimi/bzfviger/OPTI/diss_runs/scip-git/check/results/check.MINLPconvex._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.opt/alphaecp.opt" >> ECPstrategy 1 >> TOLepsg 1e-6 >> TOLgrad 1e-9 >> TOLinfbnd 1e+13 >> MIPoptfile 9 >> CUTdelcrit 0 ------------------------------------------------------------------------------ Welcome to Alpha-ECP v2.09.02 MINLP Problem Solver using the Extended Cutting Plane Approach. Method development - T.Westerlund, Abo Akademi University, FIN Algorithm implementation - T.Lastusilta, Abo Akademi University, FIN Westerlund Tapio and Poern Ray (2002). Optimization & Engineering, 3, 253-280 ------------------------------------------------------------------------------- Minimization problem: "bzfviger.MINLPconvex.155_tls7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms" The GAMS-model has in total 2258 elements of which 4% are non-linear(NL) included in 155 constraints of which 5% are NL The NL constraint signs: =E=(0), =G=(0), =L=(7) The number of variables in NL elements are 56 from a total of 346 variables: Continuous(50), Binary(289), Integer(7) ------------------------------------------------------------------------------- Using following settings AlphaECP option file optfile=1 Time limit for AlphaECP (in seconds) reslim=7200 Solvelink for NLP and MIP sub-solver solvelink=5 Cutting plane strategy (0-3) CUTdelcrit=0 Cut generation pace CUTnrcuts=0 Write encountered solutions to gdx files ECPdumpsol=0 Maximum number of AlphaECP iterations ECPiterlim=-1 Level of AlphaECP output to statusfile (0-4) ECPloglevel=0 User specified start-point (0-3) ECPstart=3 Return solution (1.MIP/2.NLP/...) ECPretsol=2 AlphaECP strategy (1-5) ECPstrategy=1 Upper limit of considered MIP solutions per MIP call MIPnrsols=50 Relative MIP gap in intermediate sub-problems (0->1.0) MIPoptcr=1.00 Initial MIPoptcr interval before MIPoptcr reduction MIPoptcrlim=200 Strategy for multiple MIP solutions MIPsolstrat=1 MIP solver for sub-problems MIPsolver=cplex NLP strategy. Inactive:0 Active strategy:1-5 NLPcall=5 NLP solver call at next (incremental) iteration NLPcalliter=0 NLP time limit per call (in seconds or auto=0) NLPreslim=30 NLP solver for sub-problems NLPsolver=conopt Constraint tolerance TOLepsg=1e-06 Gradient tolerance TOLgrad=1e-09 Infinity bound (MIP variable bound) TOLinfbnd=1e+13 ------------------------------------------------------------------------------- Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation Start-point: NL constraint (151) infeasibile 0 H 0 0 0 1 0 7 15 NA 1 SAFH 5 1 0 1 7.3E+02 6 15 56.8 2 SAFH 10 2 0 1 4.7E+02 6 15 12.3 3 SAFH 15 3 0 1 5.5E+02 5 15 9.2 4 SAFH 18 4 0 1 4.8E+02 7 12 6.2 5 SAFH 21 5 0 1 3.9E+02 6 15 3.6 6 SAFH 25 6 0 1 4.7E+02 5 15 17.7 7 SAFH 28 7 0 1 4.7E+02 5 12 9.3 8 SAFH 32 8 0 1 3.8E+02 3 15 17.8 9 SAFH 34 9 0 1 3.9E+02 3 15 18.5 10 SAFH 36 10 0 1 6.3E+02 4 12 14.2 11 SAFH 39 11 0 1 5.2E+02 5 15 7.4 12 SAFH 43 12 0 1 5.1E+02 4 11 15.1 13 SAFH 46 13 0 1 4.6E+02 5 8 17.7 14 SAFH 50 14 0 1 4.6E+02 6 15 17.6 15 SAFH 54 15 0 1 4.6E+02 5 15 8 16 SAFH 56 16 0 1 5.6E+02 6 15 8.1 17 SAFH 60 17 0 1 7.4E+02 4 8 18.5 18 SAFH 63 18 0 1 5.1E+02 5 15 5.7 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 19 SAFH 66 19 0 1 5.4E+02 4 15 17.7 20 SAFH 68 20 0 1 4.3E+02 5 12 12.1 21 SAFH 70 21 0 1 5.2E+02 5 15 16.5 22 SAFH 73 22 0 1 5.8E+02 4 8 17.7 23 SAFH 77 23 0 1 5.1E+02 5 15 12.2 24 SAFH 80 24 0 1 3.4E+02 4 12 20.8 25 SAFH 82 25 0 1 4.1E+02 5 15 10.3 26 SAFH 85 26 0 1 5.4E+02 3 12 14.3 27 SAFH 88 27 0 1 3E+02 5 15 16 28 SAFH 92 28 0 1 6.5E+02 5 15 11.8 29 SAFH 94 29 0 1 5E+02 5 12 12 30 SAFH 98 30 0 1 4.8E+02 4 12 11.1 31 SAFH 100 31 0 1 5.8E+02 6 15 12.8 32 SAFH 104 32 0 1 6.1E+02 3 11 20.8 33 SAFH 106 33 0 1 5.3E+02 4 12 13.9 34 SAFH 109 34 0 1 5.9E+02 4 15 12.6 35 SAFH 111 35 0 1 6.6E+02 5 12 16.7 36 SAFH 114 36 0 1 5.8E+02 4 11 18.2 37 SAFH 117 37 0 1 5.8E+02 6 12 14.5 38 SAFH 120 38 0 1 4.9E+02 4 6 44.8 Itera Stepcode, Number Point Alpha OPT Movement Viol Maximum MIPobjval tion Problems of Cuts usage Upd. CR Norm Cons Violation 39 SAFH 124 39 0 1 2.6E+02 3 9 46.8 40 SAFH 127 40 0 1 1.7E+02 1 5 53.8 41 SAFH 128 41 0 1 8.1E+02 4 9 12.8 42 SAFH 131 42 0 1 3.9E+02 5 9 10.2 43 SAFH 136 43 0 1 8.2E+02 2 6 55.8 44 SAFH 138 44 0 1 8.8E+02 5 12 7.9 45 SAFH 141 45 0 1 3.5E+02 5 11 8.3 46 SAFG 143 46 0 1 8.2E+02 0 0 53.8 46 FOUND SOLUTION: 53.8 (NLP) in 6 sec. 47 SAFJL 143 46 0 1 0 0 0 53.8 48 SAFH 138 45 0 0.5 8E+02 6 6 13.9 49 SAFH 141 46 0 0.5 3.7E+02 7 11 2.2 50 SAFH 147 47 0 0.5 3.4E+02 6 9 6.8 51 SAFH 153 48 0 0.5 4E+02 2 12 16.3 52 SAFH 155 49 0 0.5 3.6E+02 6 7 8.5 53 SAFH 161 50 0 0.5 3.5E+02 5 12 7.8 54 SAFH 164 51 0 0.5 3.7E+02 7 12 3.6 ------------------------------------------------------------------------------- Problem : bzfviger.MINLPconvex.155_tls7._OPTI_bzfviger_diss_runs_gams23.9.2_gams.ALPHAECP.opt.alphaecp-minlpconvex2.gms Solver Status : Resource Interrupt Model Status : Integer Solution Exit comment : No Issues Final solution : NLP Objective value : 53.799999999999997158 Max constraint (5) : -1 Alternative solution : MIP Alt. objective value : 53.799999999999997158 Max constraint (5) : -1 Time used (seconds) : 7202.06 Time limit (seconds) : 7200 Iterations used : 55 Iteration limit : -1 Function evaluations : 1043 Gradient evaluations : 174 Domain violations : 0 Gradients unusable : 0 Alphamax bound violations : 0 ECP time usage : 0.0 % NLP time usage : 0.0 % MIP time usage : 100.0 % Optimal/total MIPs : 0/55 NLP solver calls : 54 ------------------------------------------------------------------------------- --- AlphaECP: All done. --- Restarting execution --- tls7.gms(678) 2 Mb --- Reading solution for model m *** Status: Normal completion --- Job tls7.gms Stop 09/14/12 18:37:38 elapsed 2:00:02.396 @04 1347640658 ----------------------------- Fr 14. Sep 18:37:38 CEST 2012 ----------------------------- =ready=