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Published in:
2014 | OriginalPaper | Chapter
The Multiple Population Co-evolution PSO Algorithm
Authors : Xuan Xiao, Qianqian Zhang
Published in: Advances in Swarm Intelligence
Publisher: Springer International Publishing
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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.