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

Table 3

Comparison of numerical testing results under different cycled disturbance number.

Function	Cycle number	Best	Worst	Mean
	5	1.0950e − 006	4.5927e − 004	8.4772e − 005
	10	8.0914e − 008	3.9593e − 005	3.3471e − 006
	20	8.1817e − 007	1.1113e − 004	2.4506e − 005
	5	15.5346	19.4028	18.2092
	10	14.5140	19.4748	16.6741
	20	14.9356	19.4993	16.6707
	5	2.0991e − 007	1.2703	0.1498
	10	1.0955e − 008	0.3909	0.0847
	20	3.1836e − 008	1.3680	0.0847
	5	5.9698	16.9143	12.4617
	10	1.9899	14.9247	11.2695
	20	1.9900	17.9210	11.7947
	5	1.5066e − 007	1.3715e − 004	5.1063e − 005
	10	5.5967e − 008	0.0052	3.6228e − 005
	20	3.2597e − 007	0.0022	2.9710e − 004
	5	− 17.3839	− 11.9059	− 15.1020
	10	− 18.2436	− 12.5260	− 15.5739
	20	− 18.0307	− 13.0349	− 15.5256