Complexity

Research Article

A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems

Table 7

The experimental results obtained by DE-1 and DE-5 versus proposed C-DE by solving CEC’13 benchmark functions F₂₀ to F₂₈ in dimensions.


P. no	Opt	Algorithm	Best	Worst	Mean	Median	Std

F₂₀	600	DE-1	622.329	623.044	622.787	622.79	0.169152
		DE-5	621.728	622.563	622.22	622.242	0.219888
		C-DE	621.065	622.68	622.148	622.21	0.296463

F₂₁	700	DE-1	1900	2822.19	2198	1900.11	404.866135
		DE-5	1900	2822.19	2518.61	2822.19	398.516988
		C-DE	900	1822.19	1446.28	1536.44	420.382683

F₂₂	800	DE-1	3505.93	5715.86	4396.73	4350.43	493.522833
		DE-5	3843.14	9364.91	6308.58	6003.59	1222.434466
		C-DE	2918.4	6161	4014.26	3946.52	731.765773

F₂₃	900	DE-1	15239.1	16998.2	16361.2	16433	377.677770
		DE-5	14668.2	17063.9	15928.8	16003.5	537.803418
		C-DE	13352.2	15814.8	15025.5	15024	452.814685

F₂₄	1000	DE-1	1456.81	1475.32	1467.97	1469.21	5.249819
		DE-5	1303.2	1449.87	1415.05	1423.02	26.753472
		C-DE	1219.05	1350.21	1307.84	1312.43	27.412943

F₂₅	1100	DE-1	1470.69	1495.4	1487.77	1488.68	5.477735
		DE-5	1463.79	1498.27	1482.96	1485.38	8.930093
		C-DE	1460.9	1484.33	1473.4	1473.52	5.722868

F₂₆	1200	DE-1	1434.88	1487.44	1455.53	1454.62	12.242195
		DE-5	1410.06	1664.94	1457.74	1419.11	87.860087
		C-DE	1408.06	1658.64	1431.65	1416.61	57.431295

F₂₇	1300	DE-1	3228.46	3399.89	3324.78	3324.33	38.861379
		DE-5	2950.16	3314.36	3157.77	3167.29	79.562492
		C-DE	2819.3	3270.46	3124.07	3138.61	88.484672

F₂₈	1400	DE-1	2800	2831.74	2800.63	2800	4.443258
		DE-5	1910	5016.76	2150.74	1910	833.557633
		C-DE	1800	4911.42	2101.47	1800	923.523003