Resource Times:

Date / Time: 08/24/07 21:45:33


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 :4-DICOPT-1.trc.convex
Tracefile 2 :6-SBB-1.trc.convex
Solvers used : DICOPT
SBB
Modeltype(s)   MINLP
Threshold: Solver Faster 10%
Threshold: Solver Much Faster 50%
Threshold: Solver Infinitely Faster Other solver failed


Total Obj DICOPT better Obj same Obj SBB better
Solver DICOPT infinitely faster :- - - -
Solver DICOPT much faster : 8 2 1 5
Solver DICOPT faster : 3 1 2 -
Solvers perform the same : 21 2 14 5
Solver SBB faster :- - - -
Solver SBB much faster :- - - -
Solver SBB infinitely faster : 3 - - 3
Both solvers failed to solve optimally : 5 - 5 -
Total models: : 4052213




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 DICOPT much faster - Obj of DICOPT better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
m62.3700196.77000.012 8.22568769E+01 1.29824936E+02
risk2b0.18000.39000.462 -5.58761394E+01 -5.57361685E+01

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Solver DICOPT much faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
m30.10000.40000.250 3.78000000E+01 3.78000000E+01

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Solver DICOPT much faster - Obj of SBB better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
du-opt0.12001.74000.069 1.08845740E+02 3.56108965E+00
du-opt50.110020.82000.005 5.07614176E+01 8.07365758E+00
m76.5300223.46000.029 1.80357619E+02 1.23964378E+02
stockcycle0.200098.01000.002 3.82333832E+05 1.43295165E+05
synthes30.07000.18000.389 7.64193805E+01 6.80097405E+01

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Solver DICOPT faster - Obj of DICOPT better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
risk2bpb0.22000.42000.524 -5.58761394E+01 -5.57361685E+01

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Solver DICOPT faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
batch0.04000.2300--- 2.85506508E+05 2.85506508E+05
fac30.16000.29000.552 3.19823098E+07 3.19823098E+07

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Solvers perform the same - Obj of DICOPT better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
meanvarx0.04000.0200--- 1.43692321E+01 1.44969830E+01
st_testgr30.03000.0600--- -2.05900000E+01 -2.04688000E+01

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Solvers perform the same - Obj same for both solvers:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
ex12230.03000.0600--- 4.57958240E+00 4.57958240E+00
ex1223a0.03000.0100--- 4.57958240E+00 4.57958240E+00
ex1223b0.05000.0000--- 4.57958240E+00 4.57958240E+00
fac10.04000.0100--- 1.60912612E+08 1.60912612E+08
gbd0.00000.0000--- 2.20000000E+00 2.20000000E+00
nvs030.02000.0200--- 1.60000000E+01 1.60000000E+01
nvs100.11000.0200--- -3.10800000E+02 -3.10800000E+02
st_e140.05000.0200--- 4.57958240E+00 4.57958240E+00
st_miqp10.02000.0300--- 2.81000000E+02 2.81000000E+02
st_miqp50.00000.0000--- -3.33888889E+02 -3.33888889E+02
st_test50.02000.0600--- -1.10000000E+02 -1.10000000E+02
st_test60.04000.0900--- 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 SBB better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
alan0.02000.0100--- 3.00000000E+00 2.92500000E+00
st_miqp20.02000.0300--- 5.00000000E+00 2.00000000E+00
st_test80.04000.0100--- -2.95750000E+04 -2.96050000E+04
st_testgr10.04000.0400--- -9.57515000E+00 -1.27281000E+01
synthes20.02000.0400--- 7.42944865E+01 7.30353125E+01

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Solver SBB infinitely faster - Obj of SBB better:

Modelname Time (DICOPT) Time (SBB) Ratio (DICOPT / SBB) Obj (DICOPT) Obj (SBB)
st_e35fail 0.0100 -- 1.64177581E+07 1.17178934E+05
st_miqp3fail 0.0000 -- NA -6.00000000E+00
st_miqp4fail 0.0000 -- NA -4.57400000E+03

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

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

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