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Test Data (1304_50_1)
magnific0 edited this page Feb 25, 2014
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1 revision
## prob dim: 30 ##
Trials: 200 - Population size: 50 - Generations: 2000
Testing problem: Schwefel, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 1547.28364755
Mean: 2936.11443678
Std: 509.369403725
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 973.36426375
Mean: 2474.90244667
Std: 512.917620576
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 1.30795615405e-05
Mean: 5.78064349156e-05
Std: 3.52342652194e-05
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 2.18278728426e-13
Std: 5.91101590881e-13
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 1.72803993337e-13
Std: 5.33354865598e-13
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 237.064171581
Mean: 1058.82818993
Std: 305.414860355
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: 24.3631951402
Mean: 47.687556806
Std: 11.8225764772
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 476.590382266
Mean: 1391.16446627
Std: 328.241489804
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 4520.49489874
Mean: 6326.92920886
Std: 567.458253179
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 240.5375329
Mean: 690.210227123
Std: 169.2373111
Testing problem: Rastrigin, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 16.9142992979
Mean: 47.5149495996
Std: 11.0423612592
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 6.85245627254
Mean: 16.8941267707
Std: 4.32936999017
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.636692508066
Mean: 6.45773091616
Std: 2.81890097865
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 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: 7.11203672361
Mean: 15.1505275472
Std: 3.45817222553
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: 3.55828647354
Mean: 8.10984521086
Std: 2.06308833285
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.251507189947
Mean: 0.649947372395
Std: 0.241977080724
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 6.96471339965
Mean: 15.6308029074
Std: 4.18898653783
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 0.0133688827337
Mean: 1.39082782346
Std: 0.814051838989
Testing problem: Rosenbrock, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.196161492708
Mean: 22.6421634067
Std: 15.9542582325
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 3.1440505041
Mean: 127.48161727
Std: 181.450027043
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 12.0229504258
Mean: 14.0120840957
Std: 0.637902552315
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 17.1185854814
Mean: 21.6478204787
Std: 3.74040212991
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 20.9370402503
Mean: 21.8283187226
Std: 0.338940214533
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0889193860155
Mean: 3.21430064229
Std: 9.16258893885
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: 101.950721376
Mean: 211.733661532
Std: 43.5925869295
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 35.1649349538
Mean: 131.684697088
Std: 77.7368996209
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 6.38755466099e-28
Mean: 0.0199331192715
Std: 0.281191250814
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 1.10481362237
Mean: 3.50020911672
Std: 1.2102564788
Testing problem: Ackley, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 3.66431329724e-11
Mean: 3.29930180953e-10
Std: 1.8592510194e-10
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.0201681415078
Mean: 1.78927042424
Std: 0.78768094767
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 2.17318789635e-05
Mean: 3.51207340107e-05
Std: 6.77320321735e-06
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 9.99200722163e-14
Mean: 2.62083688085e-13
Std: 8.58705650017e-14
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 4.4408920985e-16
Mean: 5.13367126587e-15
Std: 1.76780976412e-15
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.118070856129
Mean: 0.232664489176
Std: 0.049998004567
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: 1.03751222419
Mean: 2.26499044515
Std: 0.304829839715
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.115510643306
Mean: 0.251736793251
Std: 0.0625782970141
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 7.54951656745e-15
Mean: 8.2192030959e-14
Std: 3.33460361143e-13
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 0.000164728212412
Mean: 0.001269199094
Std: 0.000752463491608
Testing problem: Griewank, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.0
Mean: 0.0018463347538
Std: 0.00383776202606
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.0253936805522
Mean: 0.585516669994
Std: 0.332257846796
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 5.58767033754e-08
Mean: 0.000190460962338
Std: 0.00141789013883
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 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: 1.07390103112
Mean: 1.1626948778
Std: 0.0407541322926
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: 1.28005859538
Mean: 1.54588166221
Std: 0.124516906584
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 1.00504881068
Mean: 1.04871758079
Std: 0.0166542245219
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 0.0
Mean: 3.69802016708e-05
Std: 0.000521669941442
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 4.77964778867e-10
Mean: 0.000175939836807
Std: 0.00166593500594
Testing problem: Levy5, Dimension: 30
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -32629.8541868
Mean: -22237.6446374
Std: 2758.9792517
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: -38589.4069873
Mean: -32488.7322632
Std: 2372.70808197
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -27077.8862634
Mean: -23208.3151614
Std: 1247.08204238
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: -39715.3986815
Mean: -39265.4462485
Std: 285.841876071
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: -39715.809559
Mean: -39387.9046825
Std: 237.609234039
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -37559.1609855
Mean: -32987.2875041
Std: 3126.30267013
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: -37574.3392924
Mean: -35317.2311552
Std: 1082.95648844
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: -38769.7530828
Mean: -36067.2493189
Std: 3203.76725365
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: -31419.9193029
Mean: -20940.3430205
Std: 3266.87532124
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: -34085.8605751
Mean: -30557.2934178
Std: 1626.33190899
## prob dim: 10 ##
Trials: 200 - Population size: 50 - Generations: 2000
Testing problem: Schwefel, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.0
Mean: 374.128709834
Std: 188.255642948
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 158.206264988
Std: 119.055618438
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 3.22870619129e-13
Std: 4.35205331722e-13
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 9.09494701773e-15
Std: 9.04935802379e-14
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 2.27373675443e-14
Std: 1.41994814803e-13
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.013027319379
Mean: 256.174788206
Std: 168.537202928
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: 6.10952793068e-06
Mean: 1.81116883596e-05
Std: 4.90153777579e-06
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.0395186828418
Mean: 412.860777252
Std: 180.787047438
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 907.308554575
Mean: 1513.46278624
Std: 299.656962285
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 9.09494701773e-12
Mean: 9.09467162091
Std: 30.8139487699
Testing problem: Rastrigin, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.0
Mean: 3.18791401716
Std: 1.81889537299
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 1.56816400612
Std: 1.15130742359
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 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: 1.02213211141
Mean: 5.43173494766
Std: 2.43342060605
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: 7.40760199847e-07
Mean: 2.9165626998e-06
Std: 7.75541288926e-07
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.00140188325389
Mean: 0.0126281752497
Std: 0.00841078465694
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 0.0
Mean: 3.24854122065
Std: 1.56837054748
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 0.0
Mean: 5.02929253798e-12
Std: 6.835755345e-11
Testing problem: Rosenbrock, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.000196784776965
Mean: 0.414943551993
Std: 0.247660925639
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.325914799669
Mean: 8.08146587851
Std: 5.44077921161
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 6.28692502292e-16
Mean: 1.57220990065e-14
Std: 1.9475855288e-14
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 5.05892175807e-24
Mean: 7.28028884399e-05
Std: 0.000505567593512
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 0.000399759027076
Mean: 0.319277929966
Std: 0.226665005233
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.00977256224111
Mean: 0.822890455546
Std: 1.57043252794
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: 0.03849778529
Mean: 6.40960238454
Std: 1.06683600131
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.126547463161
Mean: 5.05538674031
Std: 5.35195246689
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 2.5662631323e-29
Mean: 1.00349455009e-28
Std: 6.08261323445e-29
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 0.018687034529
Mean: 0.272695143663
Std: 0.230266457505
Testing problem: Ackley, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 4.4408920985e-16
Mean: 3.89022147829e-15
Std: 6.06047553803e-16
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 4.4408920985e-16
Mean: 0.00591198056775
Std: 0.0814817108938
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 3.99680288865e-15
Mean: 4.03233002544e-15
Std: 3.53490547804e-16
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 4.4408920985e-16
Mean: 3.96127575186e-15
Std: 3.53490547804e-16
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 4.4408920985e-16
Mean: 3.39284156325e-15
Std: 1.33451578471e-15
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0267174150226
Mean: 0.0881520334175
Std: 0.0291952813833
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: 0.000295761844964
Mean: 0.000670735897729
Std: 9.02656221795e-05
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.0135732172917
Mean: 0.0422652281116
Std: 0.0160626525644
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 3.99680288865e-15
Mean: 3.25250937294e-14
Std: 1.73893961167e-13
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 1.11022302463e-14
Mean: 6.07869310443e-14
Std: 5.00068618257e-14
Testing problem: Griewank, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.0
Mean: 0.0310170735974
Std: 0.017000594806
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0120716333566
Std: 0.0107714755239
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.00248138199443
Std: 0.00515992777822
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.0
Std: 0.0
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 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: 0.115758617266
Mean: 0.348286967321
Std: 0.119208564982
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: 6.03904266272e-06
Mean: 0.00920200221618
Std: 0.00865802458193
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 0.0450697423799
Mean: 0.132493499733
Std: 0.0370437347942
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 0.0
Mean: 0.000566677066476
Std: 0.00259209056755
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 6.65867361249e-12
Mean: 0.00439316165337
Std: 0.00625102246171
Testing problem: Levy5, Dimension: 10
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -4379.89900318
Mean: -4065.59405512
Std: 271.026267385
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: -4411.52297573
Mean: -4291.66704695
Std: 115.811198826
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -4411.52297573
Mean: -4292.59702718
Std: 114.410804596
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: -4411.52297573
Mean: -4411.52297573
Std: 6.86653441814e-13
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: -4411.52297573
Mean: -4411.52297573
Std: 8.74723994533e-13
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -4300.91294181
Mean: -3574.57161217
Std: 404.818543506
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: -4411.50902009
Mean: -4273.09501491
Std: 277.330917621
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: -4402.62977528
Mean: -4018.16225389
Std: 386.609814004
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: -4411.52297573
Mean: -3261.4231547
Std: 597.295385101
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: -4362.94108676
Mean: -4040.04176557
Std: 175.953378076
Testing problem: Cassini 1, Dimension: 6
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 4.94293548291
Mean: 9.45117529371
Std: 3.3088471792
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 4.93070868654
Mean: 11.5769797941
Std: 3.47020449246
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 5.30342237191
Mean: 6.82079941697
Std: 2.5334602296
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 4.93070826276
Mean: 6.41418897744
Std: 2.26172260478
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 5.30343246356
Mean: 5.69081657888
Std: 0.65062921095
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 4.97453483481
Mean: 17.2165779511
Std: 9.0243552852
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: 5.30560442691
Mean: 7.13422382811
Std: 3.37884166949
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 5.36044882137
Mean: 16.1048034808
Std: 5.90428539306
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 10.9964850603
Mean: 16.0561688121
Std: 1.73754218501
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 5.69609201088
Mean: 8.12801959809
Std: 1.98626595275
Testing problem: GTOC_1, Dimension: 8
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -1312218.22893
Mean: -789197.719317
Std: 210579.12504
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: -1292962.01681
Mean: -753490.753233
Std: 249022.072533
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -1286415.48831
Mean: -664208.750549
Std: 148425.648125
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: -1111908.01741
Mean: -743127.431474
Std: 118508.285611
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: -1079989.91286
Mean: -793954.134314
Std: 113907.373189
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -1011969.8866
Mean: -99708.1457463
Std: 162688.935277
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: -1468487.92853
Mean: -1037607.96437
Std: 155241.111963
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: -860658.677757
Mean: -198264.491137
Std: 243826.950853
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: -1304440.93565
Mean: -183362.502844
Std: 261210.627207
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: -1062948.0269
Mean: -492571.491168
Std: 161789.538911
Testing problem: Cassini 2, Dimension: 22
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 10.2644831124
Mean: 18.9724519158
Std: 3.13639131977
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 13.5316787546
Mean: 23.0043346205
Std: 2.07764673582
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 14.8796103274
Mean: 21.642216688
Std: 2.42013256336
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 12.6669242774
Mean: 19.4451712949
Std: 2.61201116398
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 11.9945315395
Mean: 17.8666060251
Std: 2.61451342919
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 8.98950837397
Mean: 21.3052904898
Std: 5.29666280304
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: 9.59415299054
Mean: 20.5068146568
Std: 3.48540220307
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 12.1351180465
Mean: 24.9615550136
Std: 4.22616132824
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 14.0057799227
Mean: 19.8855259133
Std: 2.01214383829
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 12.2572008429
Mean: 21.2315376702
Std: 3.05875551289
Testing problem: Messenger full, Dimension: 26
With Population Size: 50
Algorithm name: Particle Swarm optimization - gen:2000 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 8.41590869616
Mean: 15.6214677084
Std: 2.01095417581
Algorithm name: MDE_pBX - gen:2000 q percentage:0.15 power mean exponent:1.5 ftol:1e-30 xtol:1e-30
Best: 12.650604201
Mean: 16.7585945529
Std: 1.77418839468
Algorithm name: Differential Evolution - gen:2000 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 14.2012364399
Mean: 20.7621624546
Std: 2.04092288655
Algorithm name: jDE - gen:2000 variant:2 self_adaptation:1 memory:0 ftol:1e-30 xtol:1e-30
Best: 12.5154303915
Mean: 18.6782195521
Std: 2.13497956399
Algorithm name: DE - 1220 - gen:2000 self_adaptation:1 variants:[1, 2, 3, 4, 5, 6, 7, 8, 9, 10] memory:0 ftol:1e-30 xtol:1e-30
Best: 10.3221618807
Mean: 16.7713549609
Std: 2.36922954714
Algorithm name: Simulated Annealing (Corana's) - iter:100000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 7.03242826415
Mean: 18.5103070381
Std: 6.66321154452
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: 13.6370877935
Mean: 16.1940722171
Std: 1.03736203081
Algorithm name: A Simple Genetic Algorithm - gen:2000 CR:0.95 M:0.02 elitism:1 mutation:GAUSSIAN (0.1) selection:ROULETTE crossover:EXPONENTIAL
Best: 10.8799917564
Mean: 21.0319940461
Std: 5.1116164367
Algorithm name: CMAES - gen:2000 cc:-1 cs:-1 c1:-1 cmu:-1 sigma0:0.5 ftol:1e-30 xtol:1e-30 memory:0
Best: 12.2159292802
Mean: 14.84353374
Std: 1.62692059949
Algorithm name: Artificial Bee Colony optimization - gen:1000 limit:20
Best: 10.2423752
Mean: 21.3375134902
Std: 3.45314196157