Resource Times:
Results created on 02/25/11 16:06:59
using the PAVER Server/Performance tools available at
http://www.gamsworld.eu/performance/paver
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 1.50E04 For objective values below 1e1 we use
absolute differences.

Total 
Obj DICOPT_dicoptminlpconvex better 
Obj same 
Obj SBB_sbb better 
Solver DICOPT_dicoptminlpconvex infinitely faster :  1
 1 
 
 
Solver DICOPT_dicoptminlpconvex much faster :  26
 16 
10 
 
Solver DICOPT_dicoptminlpconvex faster :  
  
 
 
Solvers perform the same :  5
  
2 
3 
Solver SBB_sbb faster :  1
  
1 
 
Solver SBB_sbb much faster :  5
  
3 
2 
Solver SBB_sbb infinitely faster :  9
  
 
9 
Both solvers failed to solve optimally :  
  
 
 
Total models: : 
47  17  16  14 
Solver return definition:
Outcome 
Model Status 
Solver Status 
globally optimal 
1 or 15 
1 
locally optimal/feasible 
2 or 8 or 16 
1 or 2 or 3 or 4 or 5 or 8 
Resource Times:
 Models for each resource time category. Listed are the solver resource times TIME(.) in
seconds, as well as the ratio of resource times RATIO(.)for the two solvers if both solved optimally.
Models not solved optimally by a solver have status listed instead of resource time.
 Also listed are the objective values OBJ(.) using both solvers. The better solution found is listed
in boldface. A solution is considered better, if the relative objective function difference is
greater than 1.50E04.
 Solver resource time ratios for a particular model are listed only if both solvers are
optimal and if one solver has resource time greater than 5.00E02.
Solver DICOPT_dicoptminlpconvex infinitely faster  Obj of DICOPT_dicoptminlpconvex better:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
BatchS101006M  11.7850  fail   
7.69440000E+05  7.34943000E+05 
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Solver DICOPT_dicoptminlpconvex much faster  Obj of DICOPT_dicoptminlpconvex better:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
m7  0.8910  3616.7400  0.000 
1.06757000E+02  1.30460000E+02 
RSyn0805M02M  3.8910  3655.0400  0.001 
2.23840000E+03  2.15697000E+03 
RSyn0805M03M  7.9580  3660.9700  0.002 
3.06893000E+03  2.70500000E+03 
RSyn0805M04M  8.7990  3660.4700  0.002 
7.17422000E+03  7.13408000E+03 
RSyn0810M02M  5.2570  3660.8600  0.001 
1.74139000E+03  1.60668000E+03 
RSyn0810M03M  12.4010  3660.8000  0.003 
2.72245000E+03  2.24679000E+03 
RSyn0820M  0.2560  3661.0000  0.000 
1.15030000E+03  1.11945000E+03 
RSyn0830M  0.5680  3615.9400  0.000 
5.10072000E+02  4.31206000E+02 
RSyn0840M  0.4160  3664.5900  0.000 
3.25555000E+02  9.81998000E+01 
SLay07H  22.9680  3631.6700  0.006 
6.47488000E+04  6.51146000E+04 
SLay08H  430.5600  3660.9200  0.118 
8.49602000E+04  8.66568000E+04 
Syn20M03M  0.1520  3614.4100  0.000 
2.64695000E+03  2.61695000E+03 
Syn20M04M  0.2140  3660.6700  0.000 
3.53274000E+03  3.41710000E+03 
Syn30M02M  0.2620  3660.8000  0.000 
3.99683000E+02  3.56813000E+02 
Syn40M  0.1550  3637.5900  0.000 
6.77133000E+01  6.68001000E+01 
sssd1043  2.9150  3661.2800  0.001 
1.52710000E+05  2.28267000E+05 
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Solver DICOPT_dicoptminlpconvex much faster  Obj same for both solvers:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
BatchS121208M  6.5710  68.2430  0.096 
1.24113000E+06  1.24113000E+06 
BatchS151208M  11.1520  139.6830  0.080 
1.54347000E+06  1.54347000E+06 
BatchS201210M  8.2760  709.1870  0.012 
2.29535000E+06  2.29535000E+06 
clay0305h  454.4820  3550.4500  0.128 
8.09250000E+03  8.09250000E+03 
m6  0.4920  1484.5600  0.000 
8.22569000E+01  8.22569000E+01 
RSyn0805H  0.1920  5.7320  0.033 
1.29612000E+03  1.29612000E+03 
RSyn0830M04H  5.3350  1424.3400  0.004 
2.52907000E+03  2.52907000E+03 
SLay06H  5.9210  688.7320  0.009 
3.27570000E+04  3.27570000E+04 
Syn15M04M  0.2200  265.6830  0.001 
4.93748000E+03  4.93748000E+03 
Syn40M03H  1.1550  23.0620  0.050 
3.95149000E+02  3.95149000E+02 
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Solvers perform the same  Obj same for both solvers:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
FLay05H  3935.9300  3654.6500  1.077 
6.44981000E+01  6.44981000E+01 
FLay06M  3629.3900  3634.5800  0.999 
6.69328000E+01  6.69328000E+01 
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Solvers perform the same  Obj of SBB_sbb better:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
fo7_2  3643.2600  3661.1600  0.995 
2.91530000E+01  2.65504000E+01 
uflquad30100  3633.2300  3622.3600  1.003 
4.63872000E+02  4.40187000E+02 
uflquad4080  3634.1200  3658.5300  0.993 
4.57970000E+02  4.02716000E+02 
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Solver SBB_sbb faster  Obj same for both solvers:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
clay0305m  696.0040  552.9520  1.259 
8.09250000E+03  8.09250000E+03 
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Solver SBB_sbb much faster  Obj same for both solvers:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
clay0303h  74.3480  16.6380  4.469 
2.66691000E+04  2.66691000E+04 
FLay04H  450.4510  52.2630  8.619 
5.44059000E+01  5.44059000E+01 
SLay09M  1743.2000  555.7400  3.137 
1.07806000E+05  1.07806000E+05 
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Solver SBB_sbb much faster  Obj of SBB_sbb better:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
clay0304h  3719.4300  933.8160  3.983 
5.93287000E+04  4.02624000E+04 
SLay10M  3694.7100  846.2270  4.366 
1.34056000E+05  1.29580000E+05 
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Solver SBB_sbb infinitely faster  Obj of SBB_sbb better:
Modelname 
Time (DICOPT_dicoptminlpconvex) 
Time (SBB_sbb) 
Ratio (DICOPT_dicoptminlpconvex / SBB_sbb) 
Obj (DICOPT_dicoptminlpconvex) 
Obj (SBB_sbb) 
clay0304m  fail  225.6290   
1.00000000E+20  4.02624000E+04 
FLay05M  fail  3387.5600   
6.44981000E+01  6.44981000E+01 
fo7  fail  3662.8000   
2.25175000E+01  4.00840000E+01 
fo8  fail  3660.6900   
3.60983000E+01  3.43401000E+01 
o7_2  fail  3660.9100   
1.00000000E+20  1.27973000E+02 
SLay09H  fail  3661.1500   
1.08591000E+05  1.27524000E+05 
sssd1253  fail  3661.2200   
2.61184000E+05  3.15015000E+05 
sssd1563  fail  3662.2800   
4.40808000E+05  5.37007000E+05 
uflquad20150  fail  3641.4800   
8.30168000E+02  7.14496000E+02 
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