A Particle Swarm Optimization Algorithm with Gradient Perturbation and Binary Tree Depth First Search Strategy

Table 3

Performance of the GB-PSO algorithm.

	Iteration	Mean	Standard deviations	Best value of 50 simulation
	80	3.4227E − 49	6.7053E − 49	1.4004E − 50
	200	6.3650E − 48	4.3692E − 47	7.7993E − 49
	200	2.2398E − 39	2.8080E − 39	5.4812E − 40
	200	4.5270E − 22	7.8410E − 22	1.3581E − 28
	200	1.2286E − 17	1.7176E − 17	3.1967E − 19
	100	0.0	0.0	0.0
	120	0.0	0.0	0.0
	400	1.0666E − 25	1.8447E − 25	8.9995E − 29
	140	6.5074E − 38	5.1779E − 38	7.5266E − 39
	1000	3.0018E − 15	3.9191E − 15	5.8872E − 16
	350	6.2598E − 48	5.5918E − 48	1.0000E − 50
	200	0.010245	0.009101	0.000112
	700	−427.2015	20.5264	−449.868
	150	−445.245	5.094	−449.999
	100	396.255	3.3955	392.417
	1000	−324.293	4.971	−329.999
	100	−135.661	4.509	−139.995
	100	−177.619	2.056	−179.931
	1200	−895.083	4.041	−898.750
	1200	−444.7361	4.571	−448.402
	1500	5.1086E − 10	7.9533E − 10	1.4282E − 11
	1200	−177.642	2.0817	−179.975