Resource Times:

Date / Time: 09/28/07 20:05:50


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 :3-DICOPT-5.trc.convex
Tracefile 2 :4-Bonmin-1.trc.convex
Solvers used : DICOPT
BONMIN
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 BONMIN better
Solver DICOPT infinitely faster : 2 2 - -
Solver DICOPT much faster : 13 - 13 -
Solver DICOPT faster : 3 - 3 -
Solvers perform the same : 12 1 11 -
Solver BONMIN faster :- - - -
Solver BONMIN much faster : 2 - 2 -
Solver BONMIN infinitely faster : 2 - - 2
Both solvers failed to solve optimally : 6 - 6 -
Total models: : 403352




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 infinitely faster - Obj of DICOPT better:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
st_miqp20.0500fail -- 2.00000000E+00 NA
stockcycle339.2100fail -- 2.62718990E+05 1.79191271E+05

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Solver DICOPT much faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
batch0.09000.88000.102 2.85506508E+05 2.85506508E+05
du-opt511.320031.49000.359 8.07365758E+00 8.07365758E+00
ex12230.07000.30000.233 4.57958240E+00 4.57958241E+00
ex1223b0.07000.25000.280 4.57958240E+00 4.57958240E+00
fac30.36001.84000.196 3.19823098E+07 3.19823098E+07
m30.07000.46000.152 3.78000000E+01 3.78000000E+01
m62.0000128.19000.016 8.22568769E+01 8.22568769E+01
m710.0400729.51000.014 1.06756877E+02 1.06756877E+02
risk2b0.13000.94000.138 -5.58761394E+01 -5.58761394E+01
risk2bpb0.19000.78000.244 -5.58761394E+01 -5.58761394E+01
st_e140.07000.30000.233 4.57958240E+00 4.57958241E+00
st_testgr30.01001.8000--- -2.05900000E+01 -2.05900000E+01
synthes30.15000.45000.333 6.80097405E+01 6.80097405E+01

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Solver DICOPT faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
alan0.07000.09000.778 2.92500000E+00 2.92500000E+00
meanvarx0.03000.1600--- 1.43692321E+01 1.43692321E+01
synthes20.09000.10000.900 7.30353125E+01 7.30353125E+01

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Solvers perform the same - Obj of DICOPT better:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
st_test80.04000.0100--- -2.96050000E+04 -2.95750000E+04

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Solvers perform the same - Obj same for both solvers:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
ex1223a0.01000.0200--- 4.57958240E+00 4.57958240E+00
fac10.04000.1300--- 1.60912612E+08 1.60912612E+08
gbd0.00000.0100--- 2.20000000E+00 2.20000000E+00
nvs030.01000.0100--- 1.60000000E+01 1.60000000E+01
st_miqp10.03000.0200--- 2.81000000E+02 2.81000000E+02
st_miqp50.00000.0200--- -3.33888889E+02 -3.33888889E+02
st_test50.02000.0000--- -1.10000000E+02 -1.10000000E+02
st_test60.03000.0100--- 4.71000000E+02 4.71000000E+02
st_testgr12.92002.99000.977 -1.28116000E+01 -1.28116000E+01
st_testph40.02000.0100--- -8.05000000E+01 -8.05000000E+01
synthes10.04000.1300--- 6.00975891E+00 6.00975891E+00

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Solver BONMIN much faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
du-opt280.680028.47009.859 3.55634005E+00 3.55634005E+00
nvs10236.27000.0300--- -3.10800000E+02 -3.10800000E+02

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Solver BONMIN infinitely faster - Obj of BONMIN better:

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
st_miqp3fail 0.0100 -- NA -6.00000000E+00
st_miqp4fail 0.0400 -- NA -4.57400000E+03

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

Modelname Time (DICOPT) Time (BONMIN) Ratio (DICOPT / BONMIN) Obj (DICOPT) Obj (BONMIN)
fo7fail fail -- 0.00000000E+00 2.07298251E+01
o7fail fail -- 0.00000000E+00 1.34678221E+02
st_e35fail fail -- 1.64177581E+07 NA
tls12fail fail -- 2.31187159E+00 NA
tls6fail fail -- 1.30565405E+00 1.68000000E+01
tls7fail fail -- 5.93496273E-01 1.92000000E+01

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