Research Article

Adaptive Particle Swarm Optimization with Gaussian Perturbation and Mutation

Table 1

The parameters of all comparison competitors.

AlgorithmParameter settings

AGMPSO  = 0.729, c1 = c2 = c4 = 1.49445, c3 = 0.2
TSLPSO [35]  = 0.9∼0.4, c1 = c2 = 1.5, c3 = 0.5∼2.5
HFPSO [36] = 0.9,  = 0.5, c1 = c2 = 1.49445, α = 0.2, B0 = 2, γ = 1
MPEPSO [37]  = 0.9∼0.4, c1 = c2 = 0.5∼2.5, LP = 10, λh = 0.1
PSO [1]  = 0.9∼0.4, c1 = c2 = 2.0