Research Article

A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems

Table 4

The experimental results obtained by DE-1 and DE-5 versus proposed C-DE by solving CEC’13 benchmark functions F1 to F20 in dimensions.

P. noOptAlgorithmBestWorstMeanMedianStd

F01DE-10.000000
DE-50.000000
C-DE0.000000

F02DE-114956353.317846
DE-57763339.936747
C-DE8995583.667657

F03DE-142393532.103937
DE-514758359.088589
C-DE10365513305275.710745

F04DE-1353547568157139.556623.99376.123241
DE-518653.736440.725639.825351.44364.116408
C-DE15683.932184.624428.424524.14004.135290

F05DE-10.000000
DE-50.000000
C-DE0.000000

F06DE-18.219750
DE-512.856533
C-DE12.862273

F07DE-16.037184
DE-57.427720
C-DE5.870443

F08DE-10.050295
DE-50.048735
C-DE0.043403

F09DE-11.427762
DE-51.682517
C-DE1.325391

F10DE-17.436859
DE-50.222811
C-DE0.269271

F11DE-10.000000
DE-51.011598
C-DE0.437924

F12DE-19.743013
DE-512.860856
C-DE12.653504

F13DE-1543.649606.651587.113588.02910.751144
DE-5223.974285.604257.156257.86913.872433
C-DE10.970706

F14DE-1958.6211163.131076.091073.9737.599756
DE-51068.222325.261756.671732.49352.891847
C-DE503.9071368.46870.066877.497193.156721

F15100DE-16740.647841.497423.287454.15263.687213
DE-56182.547797.067189.497202.74312.036005
C-DE6651.87656.347232.337269.4287.708609

F16200DE-1211.829212.918212.478212.5070.266427
DE-5213.686214.943214.427214.4560.287333
C-DE201.688202.936202.454202.4520.288254

F17300DE-1351.495356.482353.565353.4931.325248
DE-5360.308373.106367.184367.7472.924574
C-DE347.203361.075355.355355.1482.813337

F18400DE-1582.99647.337631.422632.87711.084542
DE-5576.88621.743605.017606.25910.266823
C-DE576.732615.316596.713597.6258.919994

F19500DE-1515.067517.608516.468516.5010.599903
DE-5524.311526.192525.428525.5090.411725
C-DE503.979506.237505.276505.3860.497524

F20600DE-1612.548613.437613.046613.0490.211167
DE-5611.933613.14612.602612.6160.268802
C-DE611.798613.08612.546612.5960.285701