Marine Predators Algorithm Based on Adaptive Weight and Chaos Factor and Its Application

Table 5

Comparison of CEC2015 test function algorithms.

Function	Result	ACMPA	MPA	MFO	ChOA	SCA
	Ave	100	100	1.4367e + 02	1.9867e + 02	1.9406e + 02
	Std	6.2236e-12	8.3599e-10	31.3966	15.6369	24.4470
	Ave	200	200	2.0133e + 02	2.2343e + 02	2.2912e + 02
	Std	3.5954e-09	4.1162e-09	7.3185	15.1857	15.6238
	Ave	300	300	3.0004e + 02	3.0004e + 02	3.0003e + 02
	Std	5.5409e-13	1.2952e-12	0.1830	0.5332	0.1304
	Ave	400.0102	400.0524	400.6603	401.7285	401.8974
	Std	0.0064	0.0460	0.3867	0.5680	0.3179
	Ave	500	500	500	500.3483	500.1672
	Std	3.9467e-13	8.8980e-13	0.00e + 00	0.7670	0.0808
	Ave	600	600	601.3449	608.7733	612.8731
	Std	1.2219e-10	1.4504e-10	2.6639	4.4299	5.1286
	Ave	699.9999	699.9999	700.5513	705.1753	701.6148
	Std	4.8709e-11	1.2783e-10	1.1859	5.3929	0.9748
	Ave	800	800	800.0203	802.0496	800.4230
	Std	2.3476e-10	1.1634e-09	4.3201e-02	2.2464	0.07425
	Ave	907.0017	907.6713	933.6712	949.6334	922.3368
	Std	1.2232	1.4662	3.9071	4.7009	14.8927
	Ave	1.0701e + 03	1.0703e + 03	1074	1.2937e + 04	8.6890e + 03
	Std	1.0522	1.8241	1.9033e + 03	5.6000e + 02	1.5992e + 03
	Ave	1100.4948	1100.6903	1102.2503	1105.5146	1104.4510
	Std	0.6012	0.9643	1.0535	3.2987	0.7902
	Ave	1200.2276	1200.2466	1306.1335	1708.0688	1414.3597
	Std	5.1716e-02	0.0631	87.7573	1.9049e + 02	24.9596
	Ave	1353.8668	1358.6005	1516.5927	2091.4406	1685.0403
	Std	56.9207	59.8232	67.9113	3.3472e + 02	36.5153
	Ave	1538.0583	1586.8077	2473.4767	2698.8810	2526.0234
	Std	142.4978	189.4950	1.9160e + 02	1.9410e + 02	138.0687
	Ave	1640.0000	1640.0013	1683.5216	2152.7014	1816.9235
	Std	1.5346e-05	8.5698e-04	75.7575	1.6498e + 02	40.3826