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Test Data (091102_20)
magnific0 edited this page Feb 25, 2014
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1 revision
Testing problem: <class 'PyGMO.problem._problem.schwefel'>, Dimension: 10
Testing algorithm: PSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 strategy:3
Best: 857.945723446
Mean: 1545.06481266
Std: 255.547534749
Testing algorithm: DE - generations:500 F:0.8 CR:0.8 strategy:2
Best: 0.000127359944599
Mean: 2.36889585365
Std: 16.5813667452
Testing algorithm: ASA - Iter:10000 Ts:1 Tf:0.1 niterTemp:1 niterRange:20 StartStep:1
Best: 0.365070497554
Mean: 342.420450091
Std: 187.418865851
Testing algorithm: IHS - generations:500 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 114.694202537
Mean: 452.108955306
Std: 160.043143202
Testing algorithm: MPSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 nswarms:4
Best: 1282.2529795
Mean: 1794.10985701
Std: 181.057753518
Testing algorithm: NM - generations:500 alpha:1 gamma:2 rho:0.5 sigma:0.5
Best: 771.716593651
Mean: 1868.85102826
Std: 399.889634533
Testing algorithm: SGA - Generations:500 CR:0.8 M:0.1 insert_best:1
Best: 3.04328998821
Mean: 16.5406378095
Std: 8.27585504163
Testing algorithm: CS - Starting Range:0.25 FInal Range:0.1 Reduction Coefficient:0.5
Best: 1247.76614876
Mean: 1999.41611782
Std: 312.96953745
Testing problem: <class 'PyGMO.problem._problem.rastrigin'>, Dimension: 10
Testing algorithm: PSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 strategy:3
Best: 1.07733652522
Mean: 6.77058187447
Std: 3.12145163037
Testing algorithm: DE - generations:500 F:0.8 CR:0.8 strategy:2
Best: 1.27597457862e-05
Mean: 0.0757505987206
Std: 0.245345514571
Testing algorithm: ASA - Iter:10000 Ts:1 Tf:0.1 niterTemp:1 niterRange:20 StartStep:1
Best: 1.49752386694
Mean: 5.66581420458
Std: 2.34927015425
Testing algorithm: IHS - generations:500 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 8.33362169312
Mean: 18.9285608367
Std: 4.43335844919
Testing algorithm: MPSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 nswarms:4
Best: 9.33090750038
Mean: 20.708857256
Std: 5.07374078865
Testing algorithm: NM - generations:500 alpha:1 gamma:2 rho:0.5 sigma:0.5
Best: 3.01064582574
Mean: 15.6094458871
Std: 9.27058960618
Testing algorithm: SGA - Generations:500 CR:0.8 M:0.1 insert_best:1
Best: 0.362381489323
Mean: 2.51774955561
Std: 1.23969190166
Testing algorithm: CS - Starting Range:0.25 FInal Range:0.1 Reduction Coefficient:0.5
Best: 17.4334155531
Mean: 48.2070692774
Std: 12.2023271687
Testing problem: <class 'PyGMO.problem._problem.rosenbrock'>, Dimension: 10
Testing algorithm: PSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 strategy:3
Best: 0.23815665158
Mean: 8.2548301293
Std: 14.5504037578
Testing algorithm: DE - generations:500 F:0.8 CR:0.8 strategy:2
Best: 0.159971249623
Mean: 2.54967360642
Std: 0.672122195743
Testing algorithm: ASA - Iter:10000 Ts:1 Tf:0.1 niterTemp:1 niterRange:20 StartStep:1
Best: 0.186105844567
Mean: 8.3905596594
Std: 20.0210698865
Testing algorithm: IHS - generations:500 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 208.506107985
Mean: 1045.96127413
Std: 534.498735103
Testing algorithm: MPSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 nswarms:4
Best: 4.38815883219
Mean: 16.5912743633
Std: 14.3739626349
Testing algorithm: NM - generations:500 alpha:1 gamma:2 rho:0.5 sigma:0.5
Best: 0.588958872765
Mean: 79.0255613155
Std: 105.708503269
Testing algorithm: SGA - Generations:500 CR:0.8 M:0.1 insert_best:1
Best: 27.5828762999
Mean: 127.049217721
Std: 70.0359364466
Testing algorithm: CS - Starting Range:0.25 FInal Range:0.1 Reduction Coefficient:0.5
Best: 128.319404854
Mean: 545.245012016
Std: 457.155877581
Testing problem: <class 'PyGMO.problem._problem.ackley'>, Dimension: 10
Testing algorithm: PSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 strategy:3
Best: 2.08590922885e-05
Mean: 0.000382456280478
Std: 0.000399527364977
Testing algorithm: DE - generations:500 F:0.8 CR:0.8 strategy:2
Best: 6.09158822629e-06
Mean: 2.28925195779e-05
Std: 1.1971992505e-05
Testing algorithm: ASA - Iter:10000 Ts:1 Tf:0.1 niterTemp:1 niterRange:20 StartStep:1
Best: 0.293380184616
Mean: 0.785345997586
Std: 0.319795602
Testing algorithm: IHS - generations:500 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 4.43661002968
Mean: 7.81449861639
Std: 1.1431047172
Testing algorithm: MPSO - generations:500 omega:0.65 eta1:2 eta2:2 vcoeff:1 nswarms:4
Best: 0.00672908181603
Mean: 0.0613328925621
Std: 0.0667512061084
Testing algorithm: NM - generations:500 alpha:1 gamma:2 rho:0.5 sigma:0.5
Best: 0.30776912245
Mean: 7.24056767885
Std: 3.08631164631
Testing algorithm: SGA - Generations:500 CR:0.8 M:0.1 insert_best:1
Best: 0.320515259758
Mean: 1.43894970653
Std: 0.472461598925
Testing algorithm: CS - Starting Range:0.25 FInal Range:0.1 Reduction Coefficient:0.5
Best: 5.14816163199
Mean: 7.19829985702
Std: 0.727139066179