Research Article

A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems

Table 2

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-1593583891922.510621
DE-5249403987371426831.918032
C-DE310525996518512003.868545

F03DE-175046.11141062.835342
DE-528606378126034587230535494580.836448
C-DE7811665640518616.2131613.067626

F04DE-12663.8320828.91187612016.13735.150538
DE-52661.713432.27847.187823.62023.165850
C-DE2574.6611249.86114.036033.661982.673559

F05DE-10.000000
DE-50.000000
C-DE0.000000

F06DE-10.213022
DE-51.999259
C-DE2.263107

F07DE-13.576671
DE-51.694367
C-DE1.262155

F08DE-10.068761
DE-50.064325
C-DE0.075517

F09DE-10.616831
DE-50.787579
C-DE0.722405

F10DE-10.199213
DE-50.139360
C-DE0.113407

F11DE-10.000000
DE-50.000000
C-DE0.000000

F12DE-13.606150
DE-52.946380
C-DE3.047453

F13DE-13.819038
DE-53.220455
C-DE2.858693

F14DE-10.008745
DE-51.514591
C-DE0.905209

F15100DE-1966.0641624.911345.421363.52141.570897
DE-5850.8711581.881269.041266.33165.250631
C-DE778.431452.191184.571212.61150.366735

F16200DE-1200.555201.516201.119201.1370.196826
DE-5200.51201.527201.122201.1270.223394
C-DE200.649201.478201.098201.1090.203207

F17300DE-1320.122320.122320.122320.1220.000001
DE-5311.542318.288318.01318.1220.924608
C-DE310.122310.286310.128310.1220.023545

F18400DE-1433.641453.204444.794445.4143.694887
DE-5429.56449.267437.735437.2573.894859
C-DE421.706438.851429.938429.7533.321748

F19500DE-1510.299510.76510.595510.5990.089374
DE-5504.153504.684504.538504.5480.082422
C-DE500.355500.752500.527500.5320.079466

F20600DE-1602.688603.565603.182603.2010.210304
DE-5602.184603.466602.781602.8150.299490
C-DE602.163603.359602.785602.7730.276907