An Efficient Approximation for Nakagami-m Quantile Function Based on Generalized Opposition-Based Quantum Salp Swarm Algorithm

Table 2

Statistical comparisons between different algorithms when and is set as 7.0, 8.0, 9.0, and 10.0, respectively.

	Algorithm	Best	Worst	Mean	STD
7.0	PSO	1.3551E − 02	4.1978E − 01	2.5441E − 01	1.9053E − 01
	ABC	7.5002E − 02	3.1097E − 01	2.1384E − 01	5.2317E − 02
	SSA	1.1977E − 02	4.1861E − 01	4.1626E − 02	1.0410E − 01
	GO-QSSA	1.1977E − 02	1.1977E − 02	1.1977E − 02	1.2458E − 17
8.0	PSO	2.1655E − 02	4.4409E − 01	1.8379E − 01	1.9599E − 01
	ABC	9.0083E − 02	3.2507E − 01	2.4481E − 01	4.7022E − 02
	SSA	1.3828E − 02	4.4421E − 01	2.8054E − 02	7.3801E − 02
	GO-QSSA	1.3828E − 02	1.3828E − 02	1.3828E − 02	3.3420E − 17
9.0	PSO	2.0526E − 02	4.6547E − 01	2.1849E − 01	2.1072E − 01
	ABC	7.7279E − 02	3.4422E − 01	2.4093E − 01	5.7204E − 02
	SSA	1.5481E − 02	4.6437E − 01	2.4459E − 02	6.3161E − 02
	GO-QSSA	1.5481E − 02	1.5481E − 02	1.5481E − 02	3.8550E − 17
10.0	PSO	2.2120E − 02	4.8394E − 01	2.4978E − 01	2.2095E − 01
	ABC	1.2149E − 01	3.8000E − 01	2.5844E − 01	5.5310E − 02
	SSA	1.6970E − 02	4.8273E − 01	3.6282E − 02	9.1703E − 02
	GO-QSSA	1.6970E − 02	1.6970E − 02	1.6970E − 02	2.0463E − 17