Table A:   Considers only models solved optimal/feasible by both solvers.

Date / Time: 11/15/02 12:53:22


Total resource time for models solved optimal/feasible by solver A and solver B.

See the solver return definitions for optimal/feasible model and solve statuses. Solutions are not checked for how close they are to oneanother. 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.

A solver is considered to have a better objective function value, if the relative objective value difference is greater than 1.00E-06.

Tracefile 1 :CONOPT.TXT
Tracefile 2 :OQMSMINOS.TXT
Solvers used : CONOPT
OQNLP/MINOS
Modeltype(s)   NLP


Total Obj. CONOPT better Obj. same Obj. OQNLP/MINOS better
Solver CONOPT much faster : 43 - 36 7
Solver CONOPT faster : - - - -
Solvers perform the same: - - - -
Solver OQNLP/MINOS faster : 9 1 7 1
Solver OQNLP/MINOS much faster : 37 - 29 8
Total models solved optimal/feasible : 89 1 72 16




Solver return definition:

OutcomeModel StatusSolver Status
optimal 1 or 15 1
feasible 2 or 16 or 17 1 or 2 or 3 or 4 or 5




Resource Times:

Resource times (as in trace file) listed in seconds.


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Solver CONOPT much faster - Obj same for both solvers:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_1 0.05081.03100.049 0.00000000E+00 0.00000000E+00
EX14_1_3 0.06250.50000.125 0.00000000E+00 0.00000000E+00
EX14_2_1 0.05080.61000.083 0.00000000E+00 0.00000000E+00
EX14_2_5 0.05860.42200.139 0.00000000E+00 0.00000000E+00
EX14_2_6 0.05080.73400.069 0.00000000E+00 0.00000000E+00
EX14_2_8 0.05080.50000.102 0.00000000E+00 0.00000000E+00
EX2_1_1 0.05081.06300.048 -1.70000000E+01 -1.70000000E+01
EX2_1_10 0.05080.95300.053 4.93180180E+04 4.93180180E+04
EX2_1_2 0.05860.68800.085 -2.13000000E+02 -2.13000000E+02
EX2_1_3 0.05080.64000.079 -1.50000000E+01 -1.50000000E+01
EX2_1_4 0.06250.64000.098 -1.10000000E+01 -1.10000000E+01
EX2_1_7 0.05080.85900.059 -4.15041013E+03 -4.15041013E+03
EX3_1_2 0.05081.09300.046 -3.06655387E+04 -3.06655387E+04
EX3_1_4 0.05080.86000.059 -4.00000000E+00 -4.00000000E+00
EX4_1_2 0.07030.78100.090 -6.63500097E+02 -6.63500097E+02
EX4_1_3 0.05080.78100.065 -4.43671705E+02 -4.43671705E+02
EX4_1_7 0.05080.93800.054 -7.50000000E+00 -7.50000000E+00
EX4_1_9 0.05080.84400.060 -5.50801327E+00 -5.50801327E+00
EX5_2_2_CASE2 0.05081.65600.031 0.00000000E+00 0.00000000E+00
EX5_2_5 0.07036.53100.011 -3.50000000E+03 -3.50000000E+03
EX6_1_2 0.05081.21800.042 -3.24637501E-02 -3.24637501E-02
EX6_2_13 0.05082.29700.022 -2.16209437E-01 -2.16209437E-01
EX6_2_5 0.12891.37500.094 -7.07520778E+01 -7.07520778E+01
EX6_2_7 0.07031.00000.070 -1.60847616E-01 -1.60847615E-01
EX7_2_1 0.05862.03100.029 1.22722608E+03 1.22722608E+03
EX7_2_3 0.05080.81300.062 7.04924802E+03 7.04924825E+03
EX7_2_4 0.07033.84400.018 3.91801023E+00 3.91801023E+00
EX7_3_3 0.05082.15600.024 1.14477980E+00 1.14477980E+00
EX7_3_5 0.06251.21900.051 1.20689655E+00 1.20689655E+00
EX8_4_2 0.05862.92100.020 4.85152486E-01 4.85152487E-01
EX8_4_4 0.07031.23500.057 2.12459839E-01 2.12459839E-01
EX8_4_7 0.12897.98500.016 2.90473067E+01 2.90473067E+01
EX9_1_8 0.05080.50000.102 -3.25000000E+00 -3.25000000E+00
EX9_2_3 0.05085.89100.009 5.00000000E+00 5.00000000E+00
EX9_2_7 0.05082.81200.018 1.70000000E+01 1.70000000E+01
EX9_2_8 0.05080.56300.090 1.50000000E+00 1.50000000E+00

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Solver CONOPT much faster - Obj of OQNLP/MINOS better:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_6 0.07810.46800.167 1.00000000E+00 0.00000000E+00
EX8_1_2 0.05080.93700.054 2.80345848E+00 -1.07086102E+00
EX8_1_8 0.06250.90600.069 -3.74613700E-01 -3.88811434E-01
EX8_3_6 0.12114.40600.027 -5.00000000E-01 -1.00000000E+04
EX8_3_9 0.058618.17200.003 -7.41619849E-01 -7.63001935E-01
EX8_4_5 0.06251.57800.040 1.22529601E-03 3.07485988E-04
EX8_4_8 0.14062.46900.057 3.32184731E+00 0.00000000E+00

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Solver OQNLP/MINOS faster - Obj of CONOPT better:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX6_2_11 0.04690.54600.086 -2.67246224E-06 -2.67240776E-06

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Solver OQNLP/MINOS faster - Obj same for both solvers:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_5 0.04300.37500.115 0.00000000E+00 0.00000000E+00
EX14_2_2 0.02730.39000.070 0.00000000E+00 0.00000000E+00
EX14_2_9 0.03130.51600.061 0.00000000E+00 0.00000000E+00
EX3_1_3 0.03910.53100.074 -3.10000000E+02 -3.10000000E+02
EX4_1_8 0.03130.51500.061 -1.67388932E+01 -1.67388932E+01
EX7_3_2 0.02730.46900.058 1.08986397E+00 1.08986397E+00
EX9_1_5 0.04690.51500.091 -1.00000000E+00 -1.00000000E+00

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Solver OQNLP/MINOS faster - Obj of OQNLP/MINOS better:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_9 0.03130.29700.105 0.00000000E+00 0.00000000E+00

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Solver OQNLP/MINOS much faster - Obj same for both solvers:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_2 0.04300.82800.052 0.00000000E+00 0.00000000E+00
EX14_2_3 0.04690.81300.058 0.00000000E+00 0.00000000E+00
EX14_2_4 0.03910.84400.046 0.00000000E+00 0.00000000E+00
EX14_2_7 0.03910.89100.044 0.00000000E+00 0.00000000E+00
EX2_1_5 0.03131.31200.024 -2.68014632E+02 -2.68014632E+02
EX2_1_6 0.03130.95300.033 -3.90000000E+01 -3.90000000E+01
EX2_1_9 0.04300.95300.045 -3.75000000E-01 -3.75000000E-01
EX3_1_1 0.03911.45300.027 7.04924802E+03 7.04924802E+03
EX4_1_1 0.04690.81200.058 -7.48731237E+00 -7.48731236E+00
EX4_1_4 0.03910.84300.046 0.00000000E+00 0.00000000E+00
EX4_1_6 0.03130.68800.045 7.00000000E+00 7.00000000E+00
EX5_4_2 0.03910.92200.042 7.51223014E+03 7.51223014E+03
EX6_1_1 0.03130.68700.045 -2.01983120E-02 -2.01983117E-02
EX6_1_3 0.04300.81200.053 -3.52497801E-01 -3.52497801E-01
EX6_1_4 0.03130.65600.048 -2.94541288E-01 -2.94541288E-01
EX6_2_10 0.03911.01600.038 -3.05197613E+00 -3.05197613E+00
EX6_2_12 0.03130.71800.044 2.89194748E-01 2.89194748E-01
EX6_2_14 0.03910.78100.050 -6.95357935E-01 -6.95358016E-01
EX6_2_8 0.03130.75000.042 -2.70063488E-02 -2.70063488E-02
EX6_2_9 0.03130.81300.038 -3.40661844E-02 -3.40661841E-02
EX7_3_4 0.04300.89100.048 1.00000000E+01 1.00000000E+01
EX8_1_1 0.03910.90600.043 -2.02180678E+00 -2.02180678E+00
EX8_1_3 0.02731.15600.024 3.00000000E+01 3.00000000E+01
EX8_4_1 0.03911.64100.024 6.18572759E-01 6.18572759E-01
EX8_4_3 0.04694.43800.011 4.64971557E-03 4.64971566E-03
EX9_1_4 0.02730.98500.028 -3.70000000E+01 -3.70000000E+01
EX9_2_1 0.03912.68700.015 1.70000000E+01 1.70000000E+01
EX9_2_4 0.03911.95300.020 5.00000000E-01 5.00000000E-01
EX9_2_6 0.03130.57800.054 -1.00000000E+00 -1.00000000E+00

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Solver OQNLP/MINOS much faster - Obj of OQNLP/MINOS better:

Modelname CONOPT OQNLP/MINOS Ratio (CONOPT / OQNLP/MINOS)Obj CONOPTObj OQNLP/MINOS
EX14_1_7 0.03130.71900.043 7.04274947E+00 1.34990213E-01
EX14_1_8 0.02730.65600.042 4.14158860E-02 0.00000000E+00
EX2_1_8 0.03132.03100.015 2.52870000E+04 2.05600000E+04
EX4_1_5 0.03134.10900.008 0.00000000E+00 -8.83333333E+19
EX5_2_2_CASE1 0.03130.73400.043 0.00000000E+00 -4.00000000E+02
EX5_2_2_CASE3 0.03130.57800.054 0.00000000E+00 -7.50000000E+02
EX5_2_4 0.03130.59400.053 0.00000000E+00 -4.50000000E+02
EX7_2_2 0.04300.96800.044 -3.74613700E-01 -3.88811434E-01

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