A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm

Table 4

Result comparison among optimization algorithms [5].

F	DE		GSA		PSO		FEP		WOA
	avg	std	avg	std	avg	std	avg	std	avg	std
F8	−11080.1	574.7	−2821.07	493.0375	−4841.29	1152.814	−12554.5	52.6	−5080.76	695.7968
F9	69.2	38.8	25.96841	7.470068	46.70423	11.62938	0.046	0.012	0	0
F10	7.4043	4.2E − 08	0.06207	0.23628	0.27605	0.50901	0.018	0.0021	7.4043	9.897572
F11	0.000289	0	27.70154	5.040343	0.009215	0.007724	0.016	0.022	0.000289	0.001586
F12	0.339676	8E − 15	1.799617	0.95114	0.006917	0.026301	9.2E − 06	3.6E − 06	0.339676	0.214864
F13	1.889015	4.8E − 14	8.899084	7.126241	0.006675	0.008907	0.00016	0.000073	1.889015	0.266088
F14	2.111973	3.3E − 16	5.859838	3.831299	3.627168	2.560828	1.22	0.56	2.111973	2.498594
F15	0.000572	0.00033	0.003673	0.001647	0.000577	0.000222	0.0005	0.00032	0.000572	0.000324
F16	−1.03163	3.1E − 13	−1.03163	4.88E − 16	−1.03163	6.25E − 16	−1.03	4.9E − 07	−1.03163	4.2E − 07
F17	0.397887	9.9E − 09	0.397887	0	0.397887	0	0.398	1.5E − 07	0.397914	2.7E − 05
F18	3	2E − 15	3	4.17E − 15	3	1.33E − 15	3.02	0.11	3	4.22E − 15
F19	N/A	N/A	−3.86278	2.29E − 15	−3.86278	2.58E − 15	−3.86	0.000014	−3.85616	0.002706
F20	N/A	N/A	−3.31778	0.023081	−3.26634	0.060516	−3.27	0.059	−2.98105	0.376653
F21	−10.1532	0.0000025	−5.95512	3.737079	−6.8651	3.019644	−5.52	1.59	−7.04918	3.629551
F22	−10.4029	3.9E − 07	−9.68447	2.014088	−8.45653	3.087094	−5.53	2.12	−8.18178	3.829202
F23	−10.5364	1.9E − 07	−10.5364	2.6E − 15	−9.95291	1.782786	−6.57	3.14	−9.34238	2.414737