Research Article
Adaptive Particle Swarm Optimization with Gaussian Perturbation and Mutation
Table 1
The parameters of all comparison competitors.
| Algorithm | Parameter 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 |
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