Two-Population Comprehensive Learning PSO Algorithm Based on Particle Per-mutation

Two-Population Comprehensive Learning PSO Algorithm Based on Particle Per-mutation

In order to solve the problems of low population diversity and easy to fall into local optimization of particle swarm optimization (PSO), a two-population comprehensive learning PSO algorithm based on particle permutation (PP-CLPSO) is proposed. According to the convergence characteristic of PSO alg...

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Bibliographic Details
Main Author: JI Wei, LI Yingmei, JI Weidong, ZHANG Long
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
particle swarm optimization (pso)
two-population system
particle numbering
particle permutation
comprehensive learning
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2661.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2661.shtml

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