Resource Times:

Date / Time: 08/24/07 21:45:32


See the solver return definitions for optimal/feasible model and solve statuses. Solutions are not checked for how close they are to eachother. Resource times are considered the same, if they are within 10% of eachother. A solver is considered faster than another, if it is less than 50% faster than the other. A solver is considered much faster than another, if it is more than 50% faster than the other.

If a model was not solved optimal/feasible by both solvers, the resource time is considered the same. If a model was solved optimal/feasible by solver A but not by solver B, then solver A is considered infinitely faster than solver B. Similarly, if one solver has trace data and the other has no data, then the first solver is consideredinfinitely faster.

A solver is considered to have a better objective function value, if the relative objective value difference is greater than 1.00E-05 For objective values below 1e-1 we use absolute differences.

Tracefile 1 :2-AlphaECP-1.trc.convex
Tracefile 2 :5-LaGO-1.trc.convex
Solvers used : ALPHAECP
LaGO
Modeltype(s)   MINLP
Threshold: Solver Faster 10%
Threshold: Solver Much Faster 50%
Threshold: Solver Infinitely Faster Other solver failed


Total Obj ALPHAECP better Obj same Obj LaGO better
Solver ALPHAECP infinitely faster : 3 3 - -
Solver ALPHAECP much faster : 4 - 3 1
Solver ALPHAECP faster : 1 1 - -
Solvers perform the same : 1 - - 1
Solver LaGO faster :- - - -
Solver LaGO much faster : 27 6 21 -
Solver LaGO infinitely faster : 1 - - 1
Both solvers failed to solve optimally : 3 - 3 -
Total models: : 4010273




Solver return definition:

OutcomeModel StatusSolver Status
globally optimal 1 or 15 1
locally optimal/feasible 2 or 8 or 16 1 or 2 or 3 or 4 or 5




Resource Times:

Back to top

Solver ALPHAECP infinitely faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
fo7504.0000fail -- 2.07291844E+01 NA
o73606.0000fail -- 1.53819887E+02 NA
st_miqp41.0000fail -- -4.57400000E+03 0.00000000E+00

Back to top



Back to top

Solver ALPHAECP much faster - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
m67.00001119.17500.006 8.22568769E+01 8.22568769E+01
m733.00003600.07900.009 1.06756877E+02 1.06756877E+02
risk2bpb2.000017.29900.116 -5.58761394E+01 -5.58761394E+01

Back to top



Back to top

Solver ALPHAECP much faster - Obj of LaGO better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
st_e350.00001.4640--- 1.07419804E+05 7.50131885E+04

Back to top



Back to top

Solver ALPHAECP faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
du-opt1124.00001388.32400.810 3.55567908E+00 3.55980073E+00

Back to top



Back to top

Solvers perform the same - Obj of LaGO better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
stockcycle3600.00003600.15601.000 4.36419130E+05 1.21476072E+05

Back to top



Back to top

Solver LaGO much faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
du-opt5453.00002.6970167.964 8.07307759E+00 8.11482737E+00
meanvarx1.00000.14007.143 1.43690751E+01 1.43692321E+01
st_testgr12.00000.089022.472 -1.28116000E+01 -1.27859500E+01
st_testgr31.00000.32203.106 -2.05900000E+01 -2.05456000E+01
synthes11.00000.12907.752 6.00965002E+00 6.00975891E+00
synthes25.00000.190026.316 7.30345496E+01 7.30353125E+01

Back to top



Back to top

Solver LaGO much faster - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
alan1.00000.093010.753 2.92500000E+00 2.92500000E+00
batch2.00000.50503.960 2.85506481E+05 2.85506508E+05
ex12233.00000.110027.273 4.57957678E+00 4.57958240E+00
ex1223a3.00000.073041.096 4.57957997E+00 4.57958240E+00
ex1223b3.00000.102029.412 4.57957678E+00 4.57958240E+00
fac183.00000.6710123.696 1.60912612E+08 1.60912612E+08
fac38.00000.667011.994 3.19823098E+07 3.19823098E+07
gbd1.00000.051019.608 2.20000000E+00 2.20000000E+00
m32.00000.60603.300 3.78000000E+01 3.78000000E+01
nvs031.00000.0410--- 1.60000000E+01 1.60000000E+01
nvs102.00000.062032.258 -3.10800000E+02 -3.10800000E+02
st_e142.00000.105019.048 4.57957678E+00 4.57958240E+00
st_miqp11.00000.052019.231 2.81000000E+02 2.81000000E+02
st_miqp21.00000.057017.544 2.00000000E+00 2.00000000E+00
st_miqp31.00000.0380--- -6.00000000E+00 -6.00000000E+00
st_miqp51.00000.085011.765 -3.33889031E+02 -3.33888889E+02
st_test51.00000.083012.048 -1.10000000E+02 -1.10000000E+02
st_test61.00000.10209.804 4.71000000E+02 4.71000000E+02
st_test81.00000.14806.757 -2.96050000E+04 -2.96050000E+04
st_testph41.00000.0460--- -8.05000000E+01 -8.05000000E+01
synthes34.00000.294013.605 6.80093274E+01 6.80097405E+01

Back to top



Back to top

Solver LaGO infinitely faster - Obj of LaGO better:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
risk2bfail 16.6570 -- 1.00000000E+20 -5.58761394E+01

Back to top



Back to top

Both solvers failed to solve optimally - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (LaGO) Ratio (ALPHAECP / LaGO) Obj (ALPHAECP) Obj (LaGO)
tls12fail fail -- 1.00000000E+20 NA
tls6fail fail -- 1.00000000E+20 NA
tls7fail fail -- 1.00000000E+20 NA

Back to top