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Test Data (1112_10)
magnific0 edited this page Feb 25, 2014
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1 revision
Trials: 200 - Population size: 10 - Generations: 500
Testing problem: Schwefel, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 335.578004005
Mean: 863.859307091
Std: 272.446961904
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 3.15712895826e-08
Mean: 51.9647796867
Std: 85.8394704126
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 80.6616515756
Std: 95.5757619081
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: 7.27595761418e-12
Mean: 65.1454286838
Std: 98.2582928924
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0601585447066
Mean: 356.279486617
Std: 150.555392961
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 7.0806999247e-05
Mean: 0.143917512308
Std: 0.61212000806
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: 12.0118017796
Mean: 555.073493762
Std: 181.096286712
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: 1401.54476998
Mean: 2086.89716324
Std: 265.531952152
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 35.696252504
Mean: 625.493207001
Std: 214.3228485
Testing problem: Rastrigin, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 1.98991811823
Mean: 9.46134568404
Std: 4.58809394278
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.00041948219534
Mean: 4.3854497645
Std: 2.7899147579
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0
Mean: 0.786127205045
Std: 1.01846768748
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: 1.07220898826e-13
Std: 1.47141703946e-12
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0238390170453
Mean: 4.13262725839
Std: 1.78100915824
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 1.34732514141e-05
Mean: 1.82090715299
Std: 0.895955586795
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: 0.353761398067
Mean: 2.69956281905
Std: 1.19655145708
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: 2.98487717128
Mean: 12.5513936543
Std: 5.65348625602
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.783451999703
Mean: 6.86720218055
Std: 3.30650672511
Testing problem: Rosenbrock, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 2.63177617879e-06
Mean: 302.355352831
Std: 4101.30713768
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.000307354317397
Mean: 4.37794854698
Std: 1.9131182377
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 0.0002519499525
Mean: 5.54441782463
Std: 9.61330519823
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: 4.50341119426
Mean: 6.38850203471
Std: 0.606942316611
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0210250789109
Mean: 12.6646655372
Std: 30.8240717572
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 0.604233675649
Mean: 34.7175238161
Std: 33.8374268719
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: 1.45655287053
Mean: 120.247361621
Std: 240.012216581
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: 5.13166252353e-12
Mean: 0.636186048869
Std: 1.25659869237
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.863788332872
Mean: 15.5776184987
Std: 18.0654533872
Testing problem: Ackley, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 3.58420995106e-08
Mean: 0.24473396059
Std: 0.538238154498
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 1.58875314726e-06
Mean: 0.0776099234162
Std: 0.338353548715
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 1.49541268257e-10
Mean: 0.351864722241
Std: 0.772411805784
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: 2.80444112377e-12
Std: 1.21719078443e-11
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.0408256419567
Mean: 0.0995193969656
Std: 0.0310047523938
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 0.00128560990045
Mean: 0.0889550198173
Std: 0.274878144171
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: 0.193948091492
Mean: 0.973510627082
Std: 0.365397800124
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: 0.0313340882197
Std: 0.198130758421
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 4.88125862756e-05
Mean: 0.570190091132
Std: 0.836374950817
Testing problem: Griewank, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 3.96372934475e-11
Mean: 0.0935927932883
Std: 0.0599585589513
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 0.0098582750547
Mean: 0.174858244693
Std: 0.0896459612908
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 5.88418203051e-15
Mean: 0.0251281681993
Std: 0.0465710392818
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: 5.16839342917e-05
Std: 0.000622119990778
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 0.107216121453
Mean: 0.296376635654
Std: 0.113179943042
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 0.000518712734256
Mean: 0.0604242469973
Std: 0.0450913711821
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: 0.417465330369
Mean: 0.941590246524
Std: 0.14670232707
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: 0.00994776832657
Std: 0.00972475189084
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 0.0102214074854
Mean: 0.171224998308
Std: 0.140320316795
Testing problem: Levy5, Dimension: 10
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -4253.6243635
Mean: -3085.48507793
Std: 660.09701291
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -4246.46680385
Mean: -2672.07357807
Std: 558.399901898
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -4411.52297552
Mean: -4251.71126327
Std: 161.773782794
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: -4411.52297505
Mean: -4105.12685266
Std: 255.774923862
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -4370.48882599
Mean: -3568.30188744
Std: 410.323053054
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -4315.16165889
Mean: -3613.16962524
Std: 441.709930888
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: -3826.8398203
Mean: -2809.99636387
Std: 477.687770374
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: -3398.1745878
Mean: -1704.70121226
Std: 517.674206475
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -3801.69233963
Mean: -2478.33437884
Std: 489.345148636
Testing problem: Cassini 1, Dimension: 6
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 5.34533265614
Mean: 15.2375403975
Std: 5.94231862022
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 5.00414756626
Mean: 11.4495923412
Std: 3.82227734769
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 5.31772870275
Mean: 10.9644025745
Std: 3.8039278074
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: 5.16346077974
Mean: 12.2333707988
Std: 4.15550498706
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 5.45347607433
Mean: 23.7388203068
Std: 17.1349188669
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 5.4223027774
Mean: 13.7858958186
Std: 3.25358496977
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: 6.32954048535
Mean: 42.0213431844
Std: 26.7892653942
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: 5.3034224996
Mean: 16.2274099776
Std: 4.78444142529
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 6.32782470283
Mean: 15.5586679859
Std: 4.31905759562
Testing problem: GTOC_1, Dimension: 8
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: -1124668.6241
Mean: -322789.049779
Std: 298243.018357
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: -810787.468011
Mean: -216162.117977
Std: 169264.457024
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: -776627.55667
Mean: -263137.99074
Std: 185621.066556
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: -818943.153193
Mean: -327248.566823
Std: 173901.037233
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: -959545.259841
Mean: -99380.7113779
Std: 174305.309713
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: -1443732.27759
Mean: -596799.515791
Std: 280401.804162
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: -633260.242878
Mean: -54886.3488941
Std: 106140.253482
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: -1046919.70624
Mean: -75495.7190754
Std: 126489.064754
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: -826408.173905
Mean: -116797.363191
Std: 132372.038787
Testing problem: Cassini 2, Dimension: 22
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 15.1797189873
Mean: 25.5833917898
Std: 4.64818391946
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 21.240678061
Mean: 30.9846037116
Std: 2.9748148874
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 18.280820145
Mean: 28.9186311718
Std: 3.45812702663
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: 15.9236053107
Mean: 26.7831289097
Std: 4.00691260782
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 13.33885675
Mean: 28.1985322996
Std: 7.05058269131
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 14.3459153772
Mean: 24.4900546299
Std: 4.20420303014
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: 16.2378797853
Mean: 39.006775556
Std: 11.2012449411
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: 16.6162064638
Mean: 26.2013190675
Std: 3.96936887708
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 14.7720840334
Mean: 33.0493658786
Std: 5.75862731086
Testing problem: Messenger full, Dimension: 26
With Population Size: 10
Algorithm name: Particle Swarm optimization - gen:500 omega:0.7298 eta1:2.05 eta2:2.05 variant:5 topology:2 topology param.:4
Best: 10.053074822
Mean: 22.9147605511
Std: 5.76343071123
Algorithm name: Differential Evolution - gen:500 F: 0.8 CR: 0.9 variant:2 ftol:1e-30 xtol:1e-30
Best: 20.3814751826
Mean: 32.7134398565
Std: 4.64962004032
Algorithm name: DE - Self adaptive - gen:500 variant:2 self_adaptation:1 restart:1 ftol:1e-30 xtol:1e-30
Best: 18.2536212738
Mean: 30.3716213453
Std: 4.71460954519
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: 17.5452812056
Mean: 27.6255456673
Std: 4.47154127974
Algorithm name: Simulated Annealing (Corana's) - iter:5000 Ts:1 Tf:0.01 steps:1 bin_size:20 range:1
Best: 14.7191477753
Mean: 30.3282778395
Std: 10.5750492737
Algorithm name: Improved Harmony Search - iter:5000 phmcr:0.85 ppar_min:0.35 ppar_max:0.99 bw_min:1e-05 bw_max:1
Best: 13.652147986
Mean: 24.1570209568
Std: 4.68965190082
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: 14.1179522681
Mean: 39.4469006261
Std: 11.9652302479
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: 14.9323124848
Mean: 24.9008535431
Std: 5.49648596354
Algorithm name: Artificial Bee Colony optimization - gen:250 limit:20
Best: 17.8102802586
Mean: 36.4448564544
Std: 7.25556174716