Title: Research and Development of Particle Swarm Optimization
Abstract: This paper reviews the research of particle swarm optimization (PSO), which is an interesting branch in evolutionary computation. Some latest research results are presented: hybrid PSO, PSO with neighborhood operator, and PSO based on different search directions. The paper also describes the advantages of PSO in solving complicated optimization problems such as multi-objective particle swarm optimization and constrained optimization. Finally a few applications in engineering are introduced, and the future research issues are discussed.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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