A review on constraint handling strategies in particle swarm optimisation

被引：0
作者：
A. Rezaee Jordehi
机构：
[1] University Putra Malaysia,Department of Electrical Engineering
来源：
Neural Computing and Applications | 2015年 / 26卷
关键词：
Particle swarm optimisation; Constraint handling; Optimisation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Almost all real-world optimisation problems are constrained. Solving constrained problems is difficult for optimisation techniques. In this paper, different constraint handling strategies used in heuristic optimisation algorithms and especially particle swarm optimisation (PSO) are reviewed. Since PSO is a very common optimisation algorithm, this paper can provide a broad view to researchers in related field and help them to identify the appropriate constraint handling strategy for their own optimisation problem.
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收藏
页码：1265 / 1275
页数：10
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