Particle swarm optimisation for discrete optimisation problems: a review

被引:89
|
作者
Jordehi, Ahmad Rezaee [1 ]
Jasni, Jasronita [1 ]
机构
[1] Univ Putra Malaysia, Dept Elect Engn, Upm Serdang 43400, Selangor, Malaysia
关键词
Particle swarm optimisation; Optimisation; Discrete environments; DISTRIBUTION-SYSTEMS; NETWORK RECONFIGURATION; PLACEMENT; ALGORITHM; FRAMEWORK; VERSION; POWER;
D O I
10.1007/s10462-012-9373-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:243 / 258
页数:16
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