Resource Times:

Date / Time: 09/29/08 16:20:37


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


Total Obj ALPHAECP better Obj same Obj DICOPT better
Solver ALPHAECP infinitely faster : 4 4 - -
Solver ALPHAECP much faster : 4 - 3 1
Solver ALPHAECP faster :- - - -
Solvers perform the same : 15 - 15 -
Solver DICOPT faster : 6 1 5 -
Solver DICOPT much faster : 7 1 6 -
Solver DICOPT infinitely faster :- - - -
Both solvers failed to solve optimally : 2 - 2 -
Total models: : 386311




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 ALPHAECP infinitely faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
o73456.2900fail -- 1.31653138E+02 0.00000000E+00
st_miqp30.0100fail -- -6.00000000E+00 NA
st_miqp40.0000fail -- -4.57400000E+03 NA
tls63600.9000fail -- 3.81000000E+01 1.30565405E+00

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Solver ALPHAECP much faster - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
fo7356.45001160.22000.307 2.07298251E+01 2.07298251E+01
nvs100.04003600.0000--- -3.10800000E+02 -3.10800000E+02
st_testgr10.08000.68000.118 -1.28116000E+01 -1.28116000E+01

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Solver ALPHAECP much faster - Obj of DICOPT better:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
du-opt3.09003600.01000.001 3.55923932E+00 3.55915370E+00

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Solvers perform the same - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
alan0.07000.0000--- 2.92500000E+00 2.92500000E+00
ex1223a0.08000.0000--- 4.57958240E+00 4.57958240E+00
fac10.10000.0100--- 1.60912612E+08 1.60912612E+08
gbd0.01000.0000--- 2.20000000E+00 2.20000000E+00
nvs030.01000.0000--- 1.60000000E+01 1.60000000E+01
st_e140.11000.0400--- 4.57958240E+00 4.57958240E+00
st_miqp10.00000.0000--- 2.81000000E+02 2.81000000E+02
st_miqp20.04000.0100--- 2.00000000E+00 2.00000000E+00
st_miqp50.04000.0000--- -3.33888889E+02 -3.33888889E+02
st_test50.05000.0000--- -1.10000000E+02 -1.10000000E+02
st_test60.02000.0100--- 4.71000000E+02 4.71000000E+02
st_test80.01000.0000--- -2.96050000E+04 -2.96050000E+04
st_testgr30.06000.0100--- -2.05900000E+01 -2.05900000E+01
st_testph40.01000.0000--- -8.05000000E+01 -8.05000000E+01
synthes10.07000.0000--- 6.00975891E+00 6.00975891E+00

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Solver DICOPT faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
stockcycle3600.24002661.75001.353 1.23665843E+05 1.37349476E+05

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Solver DICOPT faster - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
du-opt512.87207.07001.821 8.07365758E+00 8.07365758E+00
ex12230.16000.0100--- 4.57958240E+00 4.57958240E+00
ex1223b0.13000.0100--- 4.57958240E+00 4.57958240E+00
meanvarx0.12000.0000--- 1.43692321E+01 1.43692321E+01
synthes20.27000.0100--- 7.30353125E+01 7.30353125E+01

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Solver DICOPT much faster - Obj of ALPHAECP better:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
m63.58001.05003.410 8.22568769E+01 8.22855188E+01

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Solver DICOPT much faster - Obj same for both solvers:

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
batch4.10000.0200--- 2.85506508E+05 2.85506508E+05
fac30.57000.15003.800 3.19823098E+07 3.19823098E+07
m30.25000.07003.571 3.78000000E+01 3.78000000E+01
m711.64000.850013.694 1.06756877E+02 1.06756877E+02
synthes30.85000.050017.000 6.80097405E+01 6.80097405E+01
risk2bpb1.10000.080013.750 -5.58761394E+01 -5.58761394E+01

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

Modelname Time (ALPHAECP) Time (DICOPT) Ratio (ALPHAECP / DICOPT) Obj (ALPHAECP) Obj (DICOPT)
tls12fail fail -- NA 2.31187159E+00
tls7fail fail -- NA 5.93496273E-01

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