Research Article

A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems

Table 6

The experimental results obtained by DE-1 and DE-5 versus proposed C-DE by solving CEC’13 benchmark functions F1 to F19 in dimensions.

P. noOptAlgorithmBestWorstMeanMedianStd

F01DE-10.000000
DE-50.000000
C-DE0.000000

F02DE-140952346.718760
DE-518482876.197602
C-DE20121866.384027

F03DE-11263221747.238202
DE-537540.4132237941.475719
C-DE70023673.941721

F04DE-169182.111915389629.890090.810106.552893
DE-520820.941255.330832.530841.74612.877411
C-DE20496.238856.929036.128704.63791.979814

F05DE-10.000000
DE-50.000000
C-DE0.000000

F06DE-10.278565
DE-57.423864
C-DE0.895707

F07DE-18.870652
DE-59.264348
C-DE7.322152

F08DE-10.037308
DE-50.041021
C-DE0.042407

F09DE-11.930815
DE-52.256670
C-DE2.223050

F10DE-116.289936
DE-50.227074
C-DE0.544408

F11DE-14.588255
DE-58.544754
C-DE20.613249

F12DE-175.2158125.882103.524104.09613.276617
DE-50.26887681.905849.921353.444518.892895
C-DE77.658834.683236.796717.050881

F13DE-1158.018226.329205.73207.24812.793081
DE-5123.648181.726158.425159.41113.288146
C-DE92.3484167.1142.689147.41317.611983

F14DE-12757.282979.672825.252821.9345.565094
DE-52303.214082.563069.743039.67409.883370
C-DE1375.053542.592571.582608.89437.462372

F15100DE-113765.61531914673.914734.7384.976680
DE-51323715094.114454.514549.9399.510805
C-DE12992.914685.414102.714161.2308.720813

F16200DE-1209.112210.714210.335210.4030.284461
DE-5212.755213.932213.389213.370.285913
C-DE202.497203.836203.329203.3350.299347

F17300DE-1441.674455.768449.039448.7782.675904
DE-5498.309530.053516.227516.8176.054115
C-DE418.995443.525431.271431.2216.529947

F18400DE-1822.319876.283857.057857.38411.321625
DE-5788.248868.463840.602843.17113.809299
C-DE755.358809.619790.15791.58712.806493

F19500DE-1524.859529.441527.534527.6030.879431
DE-5522.265525.845524.077524.1950.823669
C-DE510.223515.645513.479513.7431.248977