Dynamically Dimensioned Search Grey Wolf Optimizer Based on Positional Interaction Information

Table 10

Mean and St. dev. results of the DGWO and GWO-EPD for thirteen functions (m = 30 and 100).

Function	GWO-EPD with m = 30	DGWO with m = 30	GWO-EPD with m = 100	DGWO with m = 100
	Mean ± St. dev.	Mean ± St. dev.	Mean ± St. dev.	Mean ± St. dev.
	6.75E − 25 ± 1.16E − 24	2.36E − 299 ± 0.00E + 00	3.64E − 01 ± 5.28E − 01	8.19E − 165 ± 0.00E + 00
	4.52E − 15 ± 3.98E − 15	1.45E − 155 ± 7.92E − 155	3.00E − 02 ± 3.04E − 02	1.62E − 84 ± 8.48E − 84
	2.89E − 04 ± 6.38E − 04	3.24E − 300 ± 0.00E + 00	2.50E + 00 ± 1.99E + 00	1.01E − 19 ± 5.52E − 19
	5.41E − 02 ± 5.16E − 02	1.25E − 130 ± 6.22E − 130	4.87E − 02 ± 4.92E − 02	3.01E − 43 ± 1.65E − 42
	2.02E − 01 ± 3.50E − 01	3.10E + 00 ± 2.85E + 00	2.10E + 01 ± 4.34E + 01	9.80E + 01 ± 9.99E − 03
	2.34E − 01 ± 1.93E − 01	5.84E − 07 ± 8.37E − 07	2.24E + 02 ± 1.29E + 01	3.28E − 04 ± 2.40E − 04
	3.87E − 03 ± 2.59E − 03	1.24E − 04 ± 9.64E − 05	2.31E − 02 ± 2.20E − 02	2.62E − 04 ± 3.68E − 04
	−1.26E + 04 ± 1.63E − 01	−3.85E + 03 ± 5.86E + 02	−4.19E + 05 ± 1.50E + 01	−2.28E + 04 ± 5.58E + 03
	1.57E − 08 ± 8.57E − 08	0.00E + 00 ± 0.00E + 00	2.80E − 01 ± 4.20E − 01	0.00E + 00 ± 0.00E + 00
	2.46E − 11 ± 1.32E − 10	8.88E − 16 ± 0.00E + 00	1.33E − 02 ± 1.33E − 02	8.88E − 16 ± 0.00E + 00
	1.53E − 03 ± 5.05E − 03	0.00E + 00 ± 0.00E + 00	3.22E − 02 ± 1.23E − 01	0.00E + 00 ± 0.00E + 00
	3.45E − 02 ± 1.35E − 02	3.09E − 07 ± 3.33E − 07	7.70E − 01 ± 7.58E − 02	1.61E − 05 ± 1.43E − 05
	3.20E − 04 ± 1.94E − 04	9.13E − 04 ± 5.72E − 04	7.07E − 02 ± 2.07E − 01	9.13E − 04 ± 5.72E − 04

The bold values in GWO-EPD with m = 30 are losses ( − ): 10, wins ( + ): 2, approximations ( = ): 1, and detected differences (α): 0.05. The bold values in GWO-EPD with m = 100 are losses (−): 11, wins ( + ): 2, approximations ( = ): 0, and detected differences (α): 0.05.