4.6 Article

Particle swarm optimisation for discrete optimisation problems: a review

期刊

ARTIFICIAL INTELLIGENCE REVIEW
卷 43, 期 2, 页码 243-258

出版社

SPRINGER
DOI: 10.1007/s10462-012-9373-8

关键词

Particle swarm optimisation; Optimisation; Discrete environments

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In many optimisation problems, all or some of decision variables are discrete. Solving such problems are more challenging than those problems with pure continuous variables. Among various optimisation techniques, particle swarm optimisation (PSO) has demonstrated more promising performance in tackling discrete optimisation problems. In PSO, basic variants are merely applicable to continuous problems. So, appropriate strategies should be adopted for enabling them to be applicable to discrete problems. This paper analyses all strategies adopted in PSO for tackling discrete problems and discusses thoroughly about pros and cons of each strategy.

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