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 :4-DICOPT-1.trc.convex
Tracefile 2 :5-LaGO-1.trc.convex
Solvers used : DICOPT
LaGO
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 LaGO better
Solver DICOPT infinitely faster :- - - -
Solver DICOPT much faster : 13 - 8 5
Solver DICOPT faster : 4 1 1 2
Solvers perform the same : 13 - 10 3
Solver LaGO faster : 1 - 1 -
Solver LaGO much faster :- - - -
Solver LaGO infinitely faster : 2 - - 2
Both solvers failed to solve optimally : 6 - 6 -
Total models: : 3912612




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 same for both solvers:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
ex1223b0.05000.10200.490 4.57958240E+00 4.57958240E+00
fac10.04000.6710--- 1.60912612E+08 1.60912612E+08
fac30.16000.66700.240 3.19823098E+07 3.19823098E+07
m30.10000.60600.165 3.78000000E+01 3.78000000E+01
m62.37001119.17500.002 8.22568769E+01 8.22568769E+01
risk2b0.180016.65700.011 -5.58761394E+01 -5.58761394E+01
risk2bpb0.220017.29900.013 -5.58761394E+01 -5.58761394E+01
st_e140.05000.10500.476 4.57958240E+00 4.57958240E+00

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Solver DICOPT much faster - Obj of LaGO better:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
du-opt0.12001388.32400.000 1.08845740E+02 3.55980073E+00
du-opt50.11002.69700.041 5.07614176E+01 8.11482737E+00
m76.53003600.07900.002 1.80357619E+02 1.06756877E+02
stockcycle0.20003600.15600.000 3.82333832E+05 1.21476072E+05
synthes30.07000.29400.238 7.64193805E+01 6.80097405E+01

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Solver DICOPT faster - Obj of DICOPT better:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
st_testgr30.03000.3220--- -2.05900000E+01 -2.05456000E+01

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Solver DICOPT faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
batch0.04000.5050--- 2.85506508E+05 2.85506508E+05

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Solver DICOPT faster - Obj of LaGO better:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
st_test80.04000.1480--- -2.95750000E+04 -2.96050000E+04
synthes20.02000.1900--- 7.42944865E+01 7.30353125E+01

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Solvers perform the same - Obj same for both solvers:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
ex12230.03000.1100--- 4.57958240E+00 4.57958240E+00
ex1223a0.03000.0730--- 4.57958240E+00 4.57958240E+00
gbd0.00000.0510--- 2.20000000E+00 2.20000000E+00
nvs030.02000.0410--- 1.60000000E+01 1.60000000E+01
st_miqp10.02000.0520--- 2.81000000E+02 2.81000000E+02
st_miqp50.00000.0850--- -3.33888889E+02 -3.33888889E+02
st_test50.02000.0830--- -1.10000000E+02 -1.10000000E+02
st_test60.04000.1020--- 4.71000000E+02 4.71000000E+02
st_testph40.02000.0460--- -8.05000000E+01 -8.05000000E+01
synthes10.03000.1290--- 6.00975891E+00 6.00975891E+00

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Solvers perform the same - Obj of LaGO better:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
alan0.02000.0930--- 3.00000000E+00 2.92500000E+00
st_miqp20.02000.0570--- 5.00000000E+00 2.00000000E+00
st_testgr10.04000.0890--- -9.57515000E+00 -1.27859500E+01

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Solver LaGO faster - Obj same for both solvers:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
nvs100.11000.06201.774 -3.10800000E+02 -3.10800000E+02

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Solver LaGO infinitely faster - Obj of LaGO better:

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
st_e35fail 1.4640 -- 1.64177581E+07 7.50131885E+04
st_miqp3fail 0.0380 -- NA -6.00000000E+00

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

Modelname Time (DICOPT) Time (LaGO) Ratio (DICOPT / LaGO) Obj (DICOPT) Obj (LaGO)
fo7fail fail -- 0.00000000E+00 NA
o7fail fail -- 0.00000000E+00 NA
st_miqp4fail fail -- NA 0.00000000E+00
tls12fail fail -- 2.31187159E+00 NA
tls6fail fail -- 1.30565405E+00 NA
tls7fail fail -- 5.93496273E-01 NA

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