Complexity

Research Article

A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems

Table 5

The experimental results obtained by DE-1 and DE-5 versus proposed C-DE by solving CEC’13 benchmark functions F₂₁ to F₂₈ in dimensions.


P. no	Opt	Algorithm	Best	Worst	Mean	Median	Std

F₂₁	700	DE-1	1010	1110	1083.33	1110	40.626595
		DE-5	950	1193.54	1055.47	1050	84.276686
		C-DE	900	1143.54	998.798	1000	71.457633

F₂₂	800	DE-1	2410.21	3350.83	2881.94	2855.53	227.697529
		DE-5	1997.4	3982.73	2865.52	2768.51	410.507035
		C-DE	1703.32	3285.89	2248.57	2238.3	326.629221

F₂₃	900	DE-1	7761.69	8933.49	8467.14	8491.29	276.464768
		DE-5	7610.14	8945.91	8282.95	8319.51	315.448232
		C-DE	7385.71	8893.86	8156.47	8238.79	345.393637

F₂₄	1000	DE-1	1285.61	1301.26	1295.22	1295.04	3.201388
		DE-5	1268.06	1328.19	1297.39	1298.54	14.328935
		C-DE	1212.5	1278.27	1248.74	1251.1	14.766463

F₂₅	1100	DE-1	1442.27	1457.12	1451.45	1451.62	3.322013
		DE-5	1419.13	1445.03	1432.18	1432.2	5.749719
		C-DE	1374.23	1395.2	1385.46	1386.97	5.218833

F₂₆	1200	DE-1	1414.91	1425.42	1419.49	1419.41	2.455244
		DE-5	1411.07	1413.84	1411.94	1411.83	0.548844
		C-DE	1401.05	1403.91	1402.06	1402.02	0.606003

F₂₇	1300	DE-1	2512.9	2640.53	2579.62	2578.5	25.085286
		DE-5	2226.43	2554.19	2443.58	2456.83	72.958778
		C-DE	2129.69	2467.36	2361.89	2385.88	73.692495

F₂₈	1400	DE-1	1800	1800	1800	1800	0.000000
		DE-5	1750	1750	1750	1750	0.000000
		C-DE	1700	1700	1700	1700	0.000000