Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization

Table 2

Comparison of numerical testing results.

Function	Algorithm	Best	Worst	Mean
	ABC	3.1519e − 004	0.0704	9.0266e − 004
	PSO	0.0048	7.0889	0.6284
	CS	0.0382	0.7001	0.2170
	GCS	5.8627e − 004	0.0047	0.0016
	SSCS	4.8773e − 007	9.1317e − 005	1.6997e − 005
	RC-SSCS	3.6450e − 012	3.0061e − 005	1.7847e − 008
	ABC	11.3082	18.1271	13.7651
	PSO	10.4223	34.5360	17.4946
	CS	11.1806	17.3151	15.2039
	GCS	8.5219	16.8620	14.2017
	SSCS	6.2653	14.5681	13.3126
	RC-SSCS	3.3432	14.2079	10.8277
	ABC	4.6297e − 005	0.6980	0.1859
	PSO	5.8949e − 005	1.8793	0.3322
	CS	0.0189	0.3452	0.2010
	GCS	2.7105e − 004	0.0077	0.1057
	SSCS	2.2377e − 009	0.3909	0.0814
	RC-SSCS	1.0616e − 011	0.1954	0.0454
	ABC	5.2919	24.7673	10.3917
	PSO	6.0188	29.7667	18.5742
	CS	5.0454	11.4347	9.4766
	GCS	4.5346	9.4692	8.7840
	SSCS	1.2841	9.3480	6.0351
	RC-SSCS	0.6950	10.3400	5.8859
	ABC	2.5878e − 005	8.4891e − 004	3.3576e − 004
	PSO	5.6717e − 004	4.2837	0.2335
	CS	8.7353e − 004	0.0068	0.0030
	GCS	1.5714e − 004	9.2999e − 004	4.2927e − 004
	SSCS	9.3420e − 007	9.5495e − 004	9.8643e − 005
	RC-SSCS	2.4677e − 009	8.4555e − 004	5.6853e − 006
	ABC	− 14.7812	− 8.1498	− 11.0840
	PSO	− 15.1576	− 7.8576	− 10.8402
	CS	− 12.7182	− 10.1137	− 11.3479
	GCS	− 13.9297	− 10.4565	− 11.6951
	SSCS	− 15.1779	− 11.4004	− 13.6241
	RC-SSCS	− 18.0889	− 13.1681	− 16.7740