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Test Data (1112_200)
magnific0 edited this page Feb 25, 2014
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1 revision
Trials: 200 - Population size: 200 - Generations: 500
Testing problem: Schwefel, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 3.91082721762e-11
Mean: 251.056013404
Std: 126.22498852
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.000644588086288
Mean: 0.00469301022367
Std: 0.0033050668651
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 1.00044417195e-13
Std: 2.84571576179e-13
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 1.00044417195e-11
Mean: 3.92005858885e-10
Std: 4.01926592975e-10
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.031997675087
Mean: 331.013923088
Std: 158.597490012
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 9.61192017712e-06
Mean: 3.69834870526e-05
Std: 1.00610267645e-05
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.943655324414
Mean: 220.505874157
Std: 150.473055427
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 1278.01245493
Mean: 1850.57369856
Std: 165.373894391
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.000290863324153
Mean: 5.07164181582
Std: 21.3676767354
Testing problem: Rastrigin, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 5.21814058629e-08
Mean: 2.57459760804
Std: 1.01587136092
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 1.92663974113
Mean: 4.53919024032
Std: 0.881486622765
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 2.34479102801e-15
Std: 6.78224114344e-15
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0317845296195
Mean: 4.79739135598
Std: 2.07110087284
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 2.62653618677e-06
Mean: 6.28325120751e-06
Std: 1.59681700913e-06
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.0619428810271
Mean: 0.300024600566
Std: 0.162964930027
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 0.0
Mean: 0.526888399886
Std: 0.673876961713
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 4.59443890577e-06
Mean: 0.000210271407856
Std: 0.000393081507121
Testing problem: Rosenbrock, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 4.6083428553e-05
Mean: 1.63381405136
Std: 1.53134518725
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.413298063342
Mean: 0.915078969104
Std: 0.194398287223
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0100210139656
Mean: 1.66392942692
Std: 1.01290993149
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 3.5950679319
Mean: 4.84246371362
Std: 0.23354335713
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.00830129358645
Mean: 0.635681435191
Std: 1.38971497209
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 6.69320188437
Mean: 7.47696958397
Std: 0.21410731154
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 7.94277804467
Mean: 30.7686673051
Std: 26.2014089546
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 1.11985091731e-26
Mean: 6.52565631074e-23
Std: 5.33205063042e-22
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.0219347750486
Mean: 0.32910533303
Std: 0.15311841318
Testing problem: Ackley, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 2.78504086459e-08
Mean: 1.0993731868e-07
Std: 5.100680727e-08
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.000258794594857
Mean: 0.000437569631128
Std: 8.24537625854e-05
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 2.67466493398e-10
Mean: 5.7188760394e-10
Std: 1.68235323263e-10
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 4.4408920985e-16
Mean: 4.4408920985e-16
Std: 0.0
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0159807641563
Mean: 0.0824436462027
Std: 0.0305505688537
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 0.000633404142079
Mean: 0.000969838686231
Std: 0.000131719307734
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.082708398476
Mean: 0.280349180767
Std: 0.105901745736
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 3.99680288865e-15
Mean: 3.99680288865e-15
Std: 0.0
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 4.31246952677e-05
Mean: 0.000178075701688
Std: 7.30963919846e-05
Testing problem: Griewank, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 2.14542827948e-11
Mean: 0.0165313561729
Std: 0.00921012920268
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0803168343354
Mean: 0.183248848224
Std: 0.0338303533648
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 4.94444180044e-08
Mean: 9.47976659888e-05
Std: 0.000145742529519
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0568738456289
Mean: 0.322175119775
Std: 0.141444603164
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 2.00601684343e-05
Mean: 0.00128791105125
Std: 0.00268848153191
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.325004821443
Mean: 0.847763775311
Std: 0.204843567124
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 2.76887423256e-06
Mean: 0.00130059561874
Std: 0.00265667116973
Testing problem: Levy5, Dimension: 10
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -4379.89898631
Mean: -4178.60695429
Std: 156.725239494
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -3772.85376415
Mean: -2978.76559746
Std: 222.823442703
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -4411.20235322
Mean: -4398.52651727
Std: 11.8129893032
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: -4411.45903645
Mean: -4399.23257645
Std: 10.9653207778
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -4244.25285803
Mean: -3519.01499499
Std: 369.88844302
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -4411.50187812
Mean: -4411.27455197
Std: 2.22964759745
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: -4317.2597707
Mean: -3814.82982421
Std: 380.96099186
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: -4411.52297573
Mean: -4179.94974632
Std: 228.930154626
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -4393.51657473
Mean: -4287.46834664
Std: 43.3443723926
Testing problem: Cassini 1, Dimension: 6
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 5.10008596699
Mean: 7.05521383775
Std: 2.24641748407
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 5.30351637467
Mean: 5.30412619464
Std: 0.000428277220461
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 5.30769207501
Mean: 5.49986166697
Std: 0.163170554218
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 5.41247983261
Mean: 6.33674880931
Std: 0.502427304245
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 5.11088615372
Mean: 14.4336189402
Std: 7.04277868839
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 5.32781748577
Mean: 11.3272749693
Std: 2.57961978523
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 5.33945229251
Mean: 12.8625669299
Std: 4.2886702699
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 8.75795267327
Mean: 15.1857351284
Std: 2.43394818092
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 5.50924102755
Mean: 8.26672814531
Std: 1.67566737834
Testing problem: GTOC_1, Dimension: 8
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -1403125.93311
Mean: -868072.46005
Std: 144255.327578
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -903864.808888
Mean: -489714.580449
Std: 108084.247258
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -989592.509429
Mean: -642389.111529
Std: 111818.799994
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: -1023260.90845
Mean: -673376.307562
Std: 105992.868538
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -1160141.07444
Mean: -127612.595801
Std: 197125.681595
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -1040217.37761
Mean: -885216.769778
Std: 111513.984212
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: -980049.728967
Mean: -253654.849066
Std: 263588.341115
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: -1535606.34459
Mean: -475331.0941
Std: 377870.201043
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -1075296.0898
Mean: -691727.955799
Std: 127374.205825
Testing problem: Cassini 2, Dimension: 22
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 10.8802647674
Mean: 17.1923268984
Std: 2.3373697246
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 18.1606851428
Mean: 25.4343906217
Std: 1.90383476027
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 14.2296208914
Mean: 20.9564081932
Std: 2.14042711171
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 13.0333668677
Mean: 19.1577829654
Std: 2.36758242198
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 9.02770160991
Mean: 20.3482423839
Std: 3.73799201688
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 11.9495066569
Mean: 17.2385885383
Std: 2.38417976857
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 11.5702516706
Mean: 24.1258620618
Std: 3.34916640681
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 13.9422854308
Mean: 19.5615097217
Std: 1.77030632769
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 13.8853761242
Mean: 21.2089515858
Std: 2.77131579498
Testing problem: Messenger full, Dimension: 26
With Population Size: 200
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 9.93409678596
Mean: 15.4549387757
Std: 1.91198642201
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 15.8024080868
Mean: 23.8052420369
Std: 2.56758844214
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 14.522064158
Mean: 20.8290332691
Std: 2.07958355524
Algorithm name: DE - 1220 - gen:500 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] restart:1 ftol:1e-30 xtol:1e-30
Best: 13.2208816113
Mean: 19.0682706316
Std: 2.18705194653
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 6.39871771099
Mean: 18.0745976588
Std: 5.67136151048
Algorithm name: Improved Harmony Search - iter:100000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 16.4545481209
Mean: 20.8111088956
Std: 1.6203652192
Algorithm name: A Simple Genetic Algorithm - gen:500 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 11.5254282036
Mean: 19.5286900167
Std: 3.21858187152
Algorithm name: CMAES - gen:500 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 restart:1 homebrew variant?:0
Best: 12.5649566715
Mean: 14.4621177027
Std: 1.25578254111
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 13.5412446666
Mean: 22.0169687525
Std: 2.66455380681