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Test Data (1112_100)
magnific0 edited this page Feb 25, 2014
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1 revision
Trials: 200 - Population size: 100 - Generations: 500
Testing problem: Schwefel, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 1.01772457128e-09
Mean: 354.447330489
Std: 151.615977339
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.000629859416222
Mean: 0.00498176432923
Std: 0.00420485060971
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 2.18278728426e-13
Std: 3.88429844025e-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: 1.91490016732e-09
Std: 1.39555838197e-08
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0169118588265
Mean: 210.473002961
Std: 150.401369802
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 1.39364738061e-05
Mean: 4.47994790193e-05
Std: 1.30435098503e-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: 0.636271177469
Mean: 313.535147515
Std: 172.698619815
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: 970.772846585
Mean: 1895.47219099
Std: 190.589733129
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.00073421765137
Mean: 44.4781840113
Std: 55.5521989981
Testing problem: Rastrigin, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.00900525528742
Mean: 3.35516079625
Std: 1.29099333143
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 1.648705077
Mean: 4.86549402838
Std: 1.19370776828
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 1.37134748002e-14
Std: 2.06609162852e-14
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:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 1.02343931733
Mean: 5.36787775194
Std: 2.20156644157
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 2.13220282319e-06
Mean: 7.35174552759e-06
Std: 2.09729895132e-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: 0.0477295247421
Mean: 0.30978251335
Std: 0.184107041363
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: 1.58695969606
Std: 1.14786326868
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 9.72915469788e-06
Mean: 0.00463248520204
Std: 0.0156303682407
Testing problem: Rosenbrock, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 0.00106711615957
Mean: 2.54466877047
Std: 1.71471614025
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.452580104516
Mean: 1.01698981877
Std: 0.273218632958
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.00186466983261
Mean: 1.94776069376
Std: 1.2023395633
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: 4.09847924259
Mean: 5.04627037625
Std: 0.26919179757
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.017373401538
Mean: 1.46961978695
Std: 5.25237388946
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 5.6888508483
Mean: 11.0170453574
Std: 13.8448406125
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: 1.62312656671
Mean: 35.614615191
Std: 30.5554626126
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: 4.51635194191e-28
Mean: 1.23190072029e-27
Std: 3.89232695954e-28
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.079715371351
Mean: 0.637360559985
Std: 0.367600839786
Testing problem: Ackley, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 2.85339933903e-08
Mean: 1.24490116988e-07
Std: 6.43576087047e-08
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.000171524637122
Mean: 0.0004173538336
Std: 9.46142531457e-05
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 2.55305554475e-10
Mean: 8.12796745464e-10
Std: 3.02194919345e-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:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0335760420739
Mean: 0.0863544129861
Std: 0.0260085790884
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 0.000630790931638
Mean: 0.00105765537053
Std: 0.000159371237982
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: 0.104202270747
Mean: 0.320105441362
Std: 0.140956841356
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: 9.35919824241e-05
Mean: 0.000442407338288
Std: 0.000227215866835
Testing problem: Griewank, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 2.89782642326e-11
Mean: 0.0258073167193
Std: 0.0122830295612
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0939331539274
Mean: 0.201401551717
Std: 0.0420348456713
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 1.28999597671e-08
Mean: 0.00027481941607
Std: 0.000454138695581
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: 8.91166029859e-13
Std: 1.25411318914e-11
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.095669147178
Mean: 0.326580765647
Std: 0.126270521729
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 2.90807918703e-05
Mean: 0.00328019046332
Std: 0.00474821931495
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: 0.296966976138
Mean: 0.805000747569
Std: 0.217009066906
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: 7.39604033412e-05
Std: 0.000735896721678
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 8.59003092635e-06
Mean: 0.00542506326315
Std: 0.00610022114586
Testing problem: Levy5, Dimension: 10
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -4411.52180399
Mean: -4049.10028305
Std: 242.020885767
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -3503.56899126
Mean: -2831.43573814
Std: 247.445420743
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -4411.46345738
Mean: -4388.02199426
Std: 24.4060541132
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: -4411.52044509
Mean: -4390.32550959
Std: 26.5978508802
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -4326.13852421
Mean: -3566.24887095
Std: 400.004746644
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -4411.4875167
Mean: -4397.32013628
Std: 78.4494642644
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: -4299.50064192
Mean: -3710.01381677
Std: 389.639374487
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: -3860.68104494
Std: 376.787233406
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -4389.98401802
Mean: -4211.15554571
Std: 67.2013359417
Testing problem: Cassini 1, Dimension: 6
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 5.1470237002
Mean: 8.22840387432
Std: 2.80319122152
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 5.30350094355
Mean: 5.75981509519
Std: 1.54548252941
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 5.3059250736
Mean: 5.77950232139
Std: 1.11793649246
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: 5.53281650221
Mean: 6.85296799091
Std: 1.08252096131
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 5.32076730511
Mean: 15.1005307915
Std: 6.91801514942
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 5.33416704701
Mean: 11.4426854909
Std: 3.32313897167
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: 5.46947470137
Mean: 14.6549633047
Std: 5.31253388196
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: 10.9964850603
Mean: 15.921188529
Std: 1.82038206446
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 5.63050306309
Mean: 9.9176038987
Std: 2.06503948221
Testing problem: GTOC_1, Dimension: 8
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -1310653.48039
Mean: -796368.473485
Std: 177438.928486
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -1008586.06732
Mean: -419436.252307
Std: 111359.98992
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -964834.567312
Mean: -580321.512988
Std: 127852.425953
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: -991821.492983
Mean: -611046.43294
Std: 130606.910092
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -959292.191096
Mean: -158273.326751
Std: 220923.184091
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -1221632.15162
Mean: -859528.757244
Std: 143589.707042
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: -1110023.62757
Mean: -213956.472313
Std: 258219.150567
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: -1535606.34621
Mean: -274133.794279
Std: 296969.418137
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -886378.617756
Mean: -523360.865197
Std: 156567.157047
Testing problem: Cassini 2, Dimension: 22
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 12.039917279
Mean: 19.0855989189
Std: 2.56858971502
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 20.1195666426
Mean: 26.4628076149
Std: 2.13104226462
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 15.1301852818
Mean: 22.1689476814
Std: 2.27077643414
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: 14.8491056966
Mean: 20.7519776089
Std: 2.53577778675
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 9.17353817339
Mean: 21.6180196739
Std: 4.58163805998
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 12.4488568101
Mean: 18.8024270752
Std: 3.84660921141
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: 12.6945747749
Mean: 25.2968652131
Std: 3.8603349071
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: 14.2527596139
Mean: 19.9954449912
Std: 1.80367383863
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 12.3977863717
Mean: 22.9271618457
Std: 3.01442162119
Testing problem: Messenger full, Dimension: 26
With Population Size: 100
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 10.923018307
Mean: 16.6717060626
Std: 1.92895753808
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 16.3743053869
Mean: 25.8780793328
Std: 2.74562683102
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 15.7296514784
Mean: 22.331720626
Std: 2.44536552831
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: 14.1037022252
Mean: 20.500152317
Std: 2.48221748253
Algorithm name: Simulated Annealing (Corana's) - iter:50000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 7.67426483977
Mean: 19.560852929
Std: 6.06331255364
Algorithm name: Improved Harmony Search - iter:50000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 15.3975548461
Mean: 21.1142991207
Std: 2.15158005588
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: 13.381007956
Mean: 22.0767893109
Std: 4.49532153064
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: 12.615687822
Mean: 14.881008259
Std: 1.17792585742
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 14.4783270794
Mean: 24.3004281934
Std: 3.19928712616