A Hybrid Dynamic Probability Mutation Particle Swarm Optimization for Engineering Structure Design

Table 6

The running time of the eight algorithms on different test functions.

	CWDEPSO	MPSPSO-ST (s)	JADE (s)	PSO (s)	DE	AIWCPSO	SinDE	DEPSO
	1.0653s	0.7287	0.9723	0.1651	0.3861s	0.1721s	0.3552s	11.5504s
	1.0995s	0.9503	1.0811	0.1796	0.4291s	0.2171s	0.4515s	21.9234s
	1.3302s	1.3954	1.3192	0.2940	0.6151s	0.2938s	0.6389s	14.7475s
	1.2175s	1.0766	1.1902	0.2430	0.5144s	0.2323s	0.5097s	22.8226s
	1.1963s	1.1725	1.1746	0.2579	0.5292s	0.2528s	0.5412s	32.0585s
	1.1079s	0.9551	1.1744	0.2043	0.4396s	0.2085s	0.4317s	23.2556s
	1.0881s	0.8567	1.1179	0.2091	0.4183s	0.1911s	0.4090s	21.2581s
	1.4138s	1.1077	1.3764	0.2626	0.5914s	0.2577s	0.5376s	28.5731s
	1.2172s	1.0532	1.2247	0.2400	0.4730s	0.2285s	0.4757s	20.5048s
	1.3385s	1.5277	1.4469	0.3153	0.6731s	0.3209s	0.6608s	41.6464s
	1.1542s	0.9217	1.1914	0.2010	0.4477s	0.2228s	0.4591s	22.5763s
	1.2787s	1.1229	1.2366	0.2419	0.5173s	0.2373s	0.5246s	28.8664s
	1.2617s	1.3655	1.3003	0.2950	0.6161s	0.2943s	0.6128s	32.3458s
	33.2016s	80.7301	34.8477	16.0725	33.4909s	16.0757s	33.8106s	826.263s
	39.6449s	96.0686	40.4186	18.7720	38.1136s	18.8152s	36.9709s	989.603s
	3.6889s	4.2173	3.9664	0.7780	1.6266s	0.8859s	1.5547s	74.861s
	4.7480s	6.9420	6.2873	1.4950	2.5856s	1.4324s	3.2057s	209.717
	5.0012s	6.7874	5.4142	1.4410	2.8880s	1.4071s	2.9385s	92.6985s
	5.6041s	2.6887	6.1948	1.6221	3.3629s	1.5848s	3.3518s	126.543s
	8.2152s	11.0186	8.0453	2.1772	4.5801s	2.2404s	4.2489s	227.856s
	3.5906s	2.7018	3.6265	0.6090	1.3123s	0.5891s	1.2948s	62.803s
	3.1939s	1.8792	3.4971	0.2735	0.9010	0.3507	0.9208	51.538s
	0.9269s	0.6128	0.9996	0.1083	0.3092s	0.1103s	0.3138s	4.9359s
	1.4982s	1.9853	1.4977	0.3796	0.8699s	0.3763s	0.8538s	17.9298s