Resource Times:

Date / Time: 09/01/07 15:55:27


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


Total Obj SBB better Obj same Obj DICOPT better
Solver SBB infinitely faster : 3 3 - -
Solver SBB much faster :- - - -
Solver SBB faster :- - - -
Solvers perform the same : 21 5 14 2
Solver DICOPT faster : 3 - 2 1
Solver DICOPT much faster : 8 5 1 2
Solver DICOPT infinitely faster :- - - -
Both solvers failed to solve optimally : 5 - 5 -
Total models: : 4013225




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:

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Solver SBB infinitely faster - Obj of SBB better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
st_e350.0100fail -- 1.17178934E+05 1.64177581E+07
st_miqp30.0000fail -- -6.00000000E+00 NA
st_miqp40.0000fail -- -4.57400000E+03 NA

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Solvers perform the same - Obj of SBB better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
alan0.01000.0200--- 2.92500000E+00 3.00000000E+00
st_miqp20.03000.0200--- 2.00000000E+00 5.00000000E+00
st_test80.01000.0400--- -2.96050000E+04 -2.95750000E+04
st_testgr10.04000.0400--- -1.27281000E+01 -9.57515000E+00
synthes20.04000.0200--- 7.30353125E+01 7.42944865E+01

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Solvers perform the same - Obj same for both solvers:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
ex12230.06000.0300--- 4.57958240E+00 4.57958240E+00
ex1223a0.01000.0300--- 4.57958240E+00 4.57958240E+00
ex1223b0.00000.0500--- 4.57958240E+00 4.57958240E+00
fac10.01000.0400--- 1.60912612E+08 1.60912612E+08
gbd0.00000.0000--- 2.20000000E+00 2.20000000E+00
nvs030.02000.0200--- 1.60000000E+01 1.60000000E+01
nvs100.02000.1100--- -3.10800000E+02 -3.10800000E+02
st_e140.02000.0500--- 4.57958240E+00 4.57958240E+00
st_miqp10.03000.0200--- 2.81000000E+02 2.81000000E+02
st_miqp50.00000.0000--- -3.33888889E+02 -3.33888889E+02
st_test50.06000.0200--- -1.10000000E+02 -1.10000000E+02
st_test60.09000.0400--- 4.71000000E+02 4.71000000E+02
st_testph40.02000.0200--- -8.05000000E+01 -8.05000000E+01
synthes10.03000.0300--- 6.00975891E+00 6.00975891E+00

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Solvers perform the same - Obj of DICOPT better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
meanvarx0.02000.0400--- 1.44969830E+01 1.43692321E+01
st_testgr30.06000.0300--- -2.04688000E+01 -2.05900000E+01

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Solver DICOPT faster - Obj same for both solvers:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
batch0.23000.0400--- 2.85506508E+05 2.85506508E+05
fac30.29000.16001.812 3.19823098E+07 3.19823098E+07

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Solver DICOPT faster - Obj of DICOPT better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
risk2bpb0.42000.22001.909 -5.57361685E+01 -5.58761394E+01

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Solver DICOPT much faster - Obj of SBB better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
du-opt1.74000.120014.500 3.56108965E+00 1.08845740E+02
du-opt520.82000.1100189.273 8.07365758E+00 5.07614176E+01
m7223.46006.530034.221 1.23964378E+02 1.80357619E+02
stockcycle98.01000.2000490.050 1.43295165E+05 3.82333832E+05
synthes30.18000.07002.571 6.80097405E+01 7.64193805E+01

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Solver DICOPT much faster - Obj same for both solvers:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
m30.40000.10004.000 3.78000000E+01 3.78000000E+01

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Solver DICOPT much faster - Obj of DICOPT better:

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
m6196.77002.370083.025 1.29824936E+02 8.22568769E+01
risk2b0.39000.18002.167 -5.57361685E+01 -5.58761394E+01

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

Modelname Time (SBB) Time (DICOPT) Ratio (SBB / DICOPT) Obj (SBB) Obj (DICOPT)
fo7fail fail -- 0.00000000E+00 0.00000000E+00
o7fail fail -- 0.00000000E+00 0.00000000E+00
tls12fail fail -- 0.00000000E+00 2.31187159E+00
tls6fail fail -- 0.00000000E+00 1.30565405E+00
tls7fail fail -- 0.00000000E+00 5.93496273E-01

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