An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 8

MLITs and statistical results for F11.

dim	Algorithm	Best	Worst	Mean	t-test (α = 0.05)	Std. deviation	Number
2	VW-GWO	3	9	6.63	5.6526e − 188	1.2363	100
	Std. GWO	4	10	6.66	3.5865e − 186	1.2888	100
	PSO	6	125	46.35	1.6006e − 37	26.0835	100
	BA	5	62	27.58	1.6166e − 83	11.0080	100
10	VW-GWO	10	200	65.57	2.8562e − 12	43.2281	100
	Std. GWO	14	246	68.68	2.6622e − 11	41.7104	100
	PSO	15	1356	231.74	1.2116e − 6	257.1490	94
	BA	15	214	113.19	5.1511e − 2	66.9189	100
30	VW-GWO	49	1179	312.24	1.2262e − 18	194.7643	100
	Std. GWO	65	945	294.45	3.1486e − 21	160.7119	100
	PSO	32	5005	1086.11	6.0513e − 13	980.3386	72
	BA	66	403	221.60	1.9072e − 51	40.5854	100