A Chaotic Disturbance Wolf Pack Algorithm for Solving Ultrahigh-Dimensional Complex Functions

Table 3

The results of the first experiment were compared.

Dim	Fun	Index	PSO	ABC	AFSA	WPA	OWPA	CWPA	CDWPA
2	Easom	BEST	−1.00	−1.00	−1	−1	−1.00	−1.00	−1.00
		MEAN	−1.00	−1	−0.7254	−1.00	−1.00	−1.00	−1.00
		WORST	−1.00	−1	−8.08e − 05	−1.00	−0.99	−0.99	−1.00
		STD	5.57e − 07	0	0.43	6.25e − 07	2.58e − 05	2.71e − 05	1.80e − 07
		SR/%	100%	100%	0	100%	35%	65%	100%
2	Sphere	BEST	7.88	50.20	444	6.41e − 17	4.10e − 17	2.21e − 10	1.67e −  18
		MEAN	10.30	58.06	468.78	7.17e −  16	8.24e − 16	2.14e − 09	7.19e − 15
		WORST	12.24	66.75	488.93	6.53e − 15	2.79e − 15	1.74e − 08	4.53e −  16
		STD	1.36	4.47	12.99	1.43e − 15	8.24e − 14	3.78e − 09	1.27e −  15
		SR/%	0	0	0	100%	100%	100%	100%
2	Matyas	BEST	2.53e − 10	1.47e − 06	7.29e − 10	1.50e − 17	7.67e − 26	1.22e − 15	9.78e − 25
		MEAN	1.16e − 08	9.91e − 05	4.08e − 7	2.46e − 07	8.38e − 20	1.66e − 7	3.46e −  20
		WORST	5.38e − 08	4.16e − 04	7.07e06	9.86e − 07	5.55e − 19	1.66e − 6	2.54e −  19
		STD	1.56e − 10	1.06e − 04	1.57e − 06	2.51e − 07	1.52e − 19	4.17e − 07	7.50e −  20
		SR/%	100%	15%	100%	100%	100%	100%	100%
2	Booth	BEST	7.12e − 09	1.50 e −  13	1.50e − 08	1.61e − 08	1.48e − 07	1.22e − 07	1.46e − 09
		MEAN	3.67e − 07	4.82 e −  11	3.39e − 06	3.07e − 07	2.13e − 06	2.71e − 07	1.44e − 07
		WORST	1.53e − 06	2.19 e −  10	2.06e − 05	2.53e − 06	5.80e − 06	1.30e − 06	6.25e − 07
		STD	3.57e − 07	5.66 e −  11	4.65e − 06	5.92e − 07	1.75e − 06	3.74e − 07	1.58e − 07
		SR/%	100%	100%	95%	100%	100%	100%	100%
2	Eggcrate	BEST	4.56e − 08	7.33e − 21	7.66e − 06	3.53e − 21	1.77e − 21	6.83e − 15	1.28e −  22
		MEAN	4.61e − 06	2.55e − 18	1.90	9.25e − 19	9.31e − 17	1.37e − 04	4.21e −  20
		WORST	2.08e − 05	1.20e − 17	9.48	6.71e − 18	1.05e − 15	0.001	3.36e −  20
		STD	5.31e − 06	2.89e − 18	3.89	1.64e − 18	2.48e − 16	2.48e − 04	8.49e −  20
		SR/%	100%	100%	5%	100%	100%	40%	100%
30	Step	BEST	0	0	199592	0	0	7	0
		MEAN	0.43	4.25	2.39e + 05	0	0	34.45	0
		WORST	2	16	279999	0	4	138	0
		STD	0.55	4.01	1.90e + 04	0	1.01	29.22	0
		SR/%	60%	5%	0	100%	50%	0	100%
100	Sumsquares	BEST	334.29	6.35e + 04	1.51e + 04	2.69e − 13	1.09e − 12	8.38e − 08	1.83e −  14
		MEAN	402.34	1.02e + 05	1.61e + 04	3.53e − 12	2.68e − 12	8.48e − 07	1.24e −  13
		WORST	518.25	1.17e + 05	1.73e + 04	1.47e − 11	2.49e − 11	2.27e − 06	5.40e −  13
		STD	44.88	1.21e + 04	588.52	4.12e − 12	5.44e − 12	6.76e − 07	1.29e −  13
		SR/%	0	0	0	100%	100%	100%	100%
100	Quadric	BEST	11.82	1.66e + 04	4.99e − 05	1.40e − 12	1.02e − 12	5.33e − 07	1.81e −  13
		MEAN	19.44	2.42e + 04	0.02	2.90e − 11	1.90e − 11	3.92e − 06	1.98e −  12
		WORST	30.10	3.03e + 04	0.18	1.38e − 10	9.85e − 11	2.04e − 05	1.82e −  11
		STD	4.37	3.70e + 03	0.05	3.88e − 11	2.80e − 11	4.59e − 06	4.03e −  13
		SR/%	0	0	0	100%	100%	90%	100%
100	Griewank	BEST	0.04	298	8.59e + 03	1.84e − 13	1.31e − 13	5.52e − 09	8.50e −  14
		MEAN	0.06	426.21	9.32e + 03	0.04	1.59e − 12	2.34e − 08	1.72e −  13
		WORST	0.09	513.55	1.00e + 04	0.82	7.11e − 12	7.30e − 08	1.00e −  11
		STD	0.01	60.07	381	0.18	2.37e − 12	1.90e − 08	2.64e −  13
		SR/%	0	0	0	95%	100%	100%	100%
100	Ackley	BEST	2.23	19.70	1.59e + 16	6.94e − 08	6.45e − 08	3.62e − 05	3.68e −  09
		MEAN	2.50	19.91	8.01e + 14	2.12e − 07	1.43e − 07	1.51	1.61e −  09
		WORST	2.73	20.04	8.88e + 08	6.28e − 07	6.20e − 07	3.59	3.76e −  09
		STD	0.11	0.07	3.56e + 15	1.51e − 07	1.46e − 07	1.44	9.36e −  09
		SR/%	0	0	0	96%	100%	0	100%