The Multiple Population Co-evolution PSO Algorithm
ADVANCES IN SWARM INTELLIGENCE, ICSI 2014, PT II(2014)
Abstract
In order to overcome the standard particle swarm optimization algorithm which is easily trapped in local minima and optimize the shortcoming of low precision, this paper proposed a way which can make multiple information exchange between particles come true: the multiple population co-evolution PSO algorithm. This paper proposes a multiple population co-evolutionary algorithm to achieve communication among populations, and then show the feasibility and effectiveness of this algorithm through experiments.
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Key words
Particle swarm,co-evolution,PSO multiple population
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