Porcellio scaber Algorithm with t-Distributed Elite Mutation for Global Optimization

Table 4

Comparison of experimental results of low-dimensional functions.

Function	Algorithm	Worst	Best	Mean	SD	SR (%)
f19	TPSA	−10.1532	−10.1532	−10.1532	5.2670E - 09	100
	PSA	−1.5165	−10.1532	−5.6914	3.5463E + 00	30
	PSO	−5.0552	−10.1532	−9.7454	1.3831E + 00	92
	GSA	−0.8890	−5.0552	−4.1730	1.6788E + 00	0
	FPA	−10.1511	−10.1532	−10.1531	3.0174E − 04	18
f20	TPSA	−10.4029	−10.4029	−10.4029	3.2162E − 08	100
	PSA	−2.0021	−10.4029	−6.7117	3.5352E + 00	36
	PSO	−0.9098	−10.4029	−9.5752	2.1231E + 00	86
	GSA	−0.9081	−10.4029	−6.5803	2.9854E + 00	34
	FPA	−10.4000	−10.4029	−10.4027	4.9174E − 04	62
f21	TPSA	−2.8066	−10.5364	−10.2272	1.5147E + 00	96
	PSA	−1.6610	−10.5364	−6.8643	3.5147E + 00	38
	PSO	−5.1285	−10.5364	−10.4283	7.5711E − 01	98
	GSA	−5.1285	−10.5364	−9.9956	1.6224E + 00	90
	FPA	−10.4971	−10.5364	−10.5351	5.6111E − 03	32
f22	TPSA	−3.1628	−3.3220	−3.3017	5.0245E − 02	86
	PSA	−3.0580	−3.3220	−3.2443	8.1362E − 02	40
	PSO	−2.2671	−3.3220	−3.1373	2.3962E − 01	40
	GSA	−0.7011	−2.7094	−1.4795	4.6529E − 01	0
	FPA	−3.2935	−3.3220	−3.3196	4.4393E − 03	90
f23	TPSA	−1	−1	−1	0	100
	PSA	−0.92181082	−0.99028409	−0.98891462	9.5863E − 03	0
	PSO	−1	−1	−1	0	100
	GSA	−0.87252750	−0.99865097	−0.97599226	2.6079E − 02	0
	FPA	−0.99028409	−0.99996853	−0.99407718	3.5339E − 03	0
f24	TPSA	−1	−1	−1	0	100
	PSA	−0.93624533	−0.99999999	−0.96939776	3.1852E − 02	20
	PSO	−1	−1	−1	0	100
	GSA	−0.95502962	−0.99995018	−0.98787620	1.1911E − 02	0
	FPA	−0.93624533	−0.99999430	−0.99574642	1.0612E − 02	0