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

Table 1

Statistical comparisons between different algorithms when and is set as 2.5, 3.0, 3.5, and 4.0 respectively.

	Algorithm	Best	Worst	Mean	STD
2.5	PSO	1.2409E − 02	2.3049E − 01	1.1032E − 01	9.7759E − 02
	ABC	5.5411E − 02	1.9640E − 01	1.4567E − 01	2.2771E − 02
	SSA	4.0482E − 03	2.3033E − 01	4.9134E − 02	9.0627E − 02
	GO-QSSA	4.0482E − 03	4.0484E − 03	4.0482E − 03	2.3611E − 08
3.0	PSO	1.5375E − 02	2.6207E − 01	1.0526E − 01	1.0562E − 01
	ABC	6.9084E − 02	2.2046E − 01	1.6213E − 01	3.0613E − 02
	SSA	4.3616E − 03	2.6344E − 01	5.8407E − 02	1.0535E − 01
	GO-QSSA	4.3616E − 03	4.3616E − 03	4.3616E − 03	6.2938E − 10
3.5	PSO	1.6453E − 02	2.8989E − 01	1.1871E − 01	1.1737E − 01
	ABC	1.0771E − 01	2.3312E − 01	1.7890E − 01	2.4986E − 02
	SSA	4.8817E − 03	2.8878E − 01	3.8861E − 02	9.2479E − 02
	GO-QSSA	4.8817E − 03	4.8817E − 03	4.8817E − 03	2.2539E − 11
4.0	PSO	1.2613E − 02	3.1806E − 01	8.7276E − 02	1.0394E − 01
	ABC	1.2184E − 01	2.5891E − 01	1.9198E − 01	2.8857E − 02
	SSA	5.5371E − 03	3.2140E − 01	3.6417E − 02	9.3109E − 02
	GO-QSSA	5.5371E − 03	5.5371E − 03	5.5371E − 03	1.4481E − 13