An Improved Grey Wolf Optimization Algorithm with Variable Weights

Table 7

MLITs and statistical results for F7.

dim	Algorithm	Best	Worst	Mean	t-test (α = 0.05)	Std. deviation	Number
2	VW-GWO	1	3	1.46	6.3755e − 226	0.5397	100
	Std. GWO	1	2	1.41	1.0070e − 229	0.4943	100
	PSO	2	2	2.00	0	0	100
	BA	1	3	1.02	8.5046e − 269	0.200	100
10	VW-GWO	5	9	7.65	5.7134e − 199	0.9468	100
	Std. GWO	5	11	7.48	5.1288e − 191	1.1413	100
	PSO	4	65	24.23	1.6196e − 85	10.9829	100
	BA	13	49	25.29	5.9676e − 109	6.2366	100
30	VW-GWO	13	22	17.14	9.6509e − 167	1.7980	100
	Std. GWO	15	30	20.80	1.3043e − 148	2.6208	100
	PSO	54	255	133.32	5.7600e − 12	42.5972	100
	BA	40	101	62.68	1.8501e − 53	11.8286	100