A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem

Table 2

Comparison between MECA, OEA, and CCCS over 50 trials.

𝑓	𝑓min	Mean function value			Standard deviation
		CCCS	MECA	OEA	CCCS	MECA	OEA
𝐹01	0	2.011e – 217	4.228𝑒−183	2.481𝑒−30	0	0	1.128𝑒−29
𝐹02	0	1.628e – 130	1.845𝑒−110	2.068𝑒−13	4.142e − 130	3.113𝑒−110	1.440𝑒−12
𝐹03	0	5.464e – 154	3.274𝑒−95	1.883𝑒−9	1.729e − 153	2.313𝑒−94	3.726𝑒−9
𝐹04	0	1.333e – 098	5.124𝑒−2	8.821𝑒−2	4.080e − 098	9.732𝑒−2	2.356𝑒−2
𝐹05	0	25.4182	7.973𝑒−2	0.227	0.3013	5.638𝑒−1	0.941
𝐹06	0	0	0	0	0	0	0
𝐹07	0	3.080e – 004	4.084𝑒−4	3.297𝑒−3	2.391e − 004	3.800𝑒−4	1.096𝑒−3
𝐹08	−12569.5	−12569.4867	−12569.4866	−12569.4866	4.830e − 004	7.350𝑒−12	5.555𝑒−12
𝐹09	0	0	0	5.430𝑒−17	0	0	1.683𝑒−16
𝐹10	0	3.663e − 5	0	5.336𝑒−14	2.654e − 9	0	2.945𝑒−13
𝐹11	0	0	3.844𝑒−3	1.317𝑒−2	0	7.130𝑒−3	1.561𝑒−2
𝐹12	0	9.518e – 007	1.571𝑒−32	9.207𝑒−30	2.780e − 006	5.529𝑒−48	6.436𝑒−31
𝐹13	0	1.723e – 007	1.350𝑒−32	4.323𝑒−19	2.657e − 007	1.106𝑒−47	2.219𝑒−18
𝐹14	−99.60	−83.7328	−98.7094891	−99.5024042	6.1910	1.450𝑒−1	2.526𝑒−2
𝐹15	−78.33236	−78.33232	−78.3323314	−78.3323314	8.654e − 6	1.005𝑒−13	2.804𝑒−11