The Opposition-Based Learning Parameter Adjusting Harmony Search Algorithm Research on Radars Optimal Deployment

Table 4

Effects of HMS for nine functions.

HMS	Index
5	Mean	1.2E − 182	2.7E − 122	.000169	−7566.71	5.92E − 17	0.00074	0.061816	9.72E − 64	277.7771
	SD	0	9.5E − 122	0.000665	479.2929	3.24E − 16	0.002257	0.025266	3.22E − 63	405.6994
10	Mean	1.01E − 98	8.34E − 65	9.380667	−8360.2	5.33E − 16	0.000821	0.027107	1.45E − 31	12398.39
	SD	3.83E − 98	1.06E − 64	14.24209	374.3772	2.92E − 15	0.003125	0.007286	2.92E − 31	6517.15
20	Mean	1.19E − 51	8.68E − 34	748.1719	−8909.59	6.045465	0.001397	0.014194	2.34E − 15	39830.05
	SD	0	1.42E − 33	683.1214	363.7991	9.443056	0.003281	0.005153	3E − 15	987.6950
40	Mean	1.2E − 188	1.43E − 17	4649.907	−9324.05	21.20932	0.001137	0.012963	2.98E − 07	55213.7
	SD	0	1.24E − 17	3231.415	290.8353	15.59811	0.003059	0.005449	1.46E − 07	9326.81
80	Mean	3E − 192	7.41E − 09	10348.01	−9573.82	26.70999	0.00097	0.01582	0.011469	59363.13
	SD	0	2.61E − 09	3197.345	322.8402	9.894514	0.002516	0.003128	0.003728	9059.778
100	Mean	2.2E − 191	5.67E − 07	13876.19	−9370.6	30.70935	0.000403	0.018056	0.062568	59859.2
	SD	0	2.7E − 07	3547.672	344.3145	10.11926	0.001584	0.003564	0.019463	5685.164
120	Mean	2.3E − 189	1.12E − 05	15843.26	−9388.53	36.75415	0.000967	0.021201	0.181106	61586.09
	SD	0	3.52E − 06	4620.502	254.8811	13.51672	0.00369	0.005331	0.029841	7329.876
150	Mean	1.1E − 184	0.000215	18886.69	−9287.02	39.57804	0.000523	0.02599	0.622355	61045.64
	SD	0	5.96E − 05	4051	368.5464	12.15133	0.002706	0.004039	0.117255	6132.338
200	Mean	1.2E − 175	0.004857	25336.71	−9019.63	41.69105	0.004459	0.038315	2.236501	58995.2
	SD	0	0.000922	3946.534	349.0453	10.18421	0.001887	0.007615	0.391213	5730.374
500	Mean	6.7E − 171	1.996803	34581.73	−8362.23	54.67448	1.202493	5.468026	29.92783	60399.91
	SD	0	0.255739	4976.491	309.6179	8.477906	0.028179	1.426998	2.088327	6872.494