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Electronic Engineering and Information Science – Wang (Ed.)
© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02772-5
Particle Swarm Optimization algorithm based on multi-swarm cooperative
evolution
G.Z. Wang, X. Zeng & P.L. Qiao
Computer Science and Technology, Harbin University of Science and Technology, Harbin, P.R.China
ABSTRACT: In order to overcome the standard Particle Swarm Optimization (PSO) algorithm is easy to
fall into local extremum of the disadvantages of low precision and optimization, presents a multi population
co evolutionary particle swarm optimization (MS-PSO) algorithm. By building a gene pool, make an inferior
particle according to the gene pool of genetic operation. At the same time using the adaptive function method ...