摘要
针对近几年来MOPSO算法及其应用的进展进行了综述和评论。首先描述了MOPSO算法的基本框架;接着对MOPSO算法进行了分类和分析,并给出了MOPSO算法的一些改进策略;然后介绍了MOPSO算法的应用进展;最后展望了MOPSO算法值得进一步研究的方向。
This paper aimed at providing a review and discussion of MOPSO algorithm and its application in the recent years.Firstly,described the basic framework of MOPSO algorithm briefly.Then,proposed and analyzed a taxonomy for MOPSO algorithms,and also presented some effective strategies,which could improve the performance of MOPSO algorithms.Thereafter,introduced some typical applications of MOPSO algorithms.Finally,pointed out some promising directions for future research in this field.
出处
《计算机应用研究》
CSCD
北大核心
2011年第4期1225-1231,共7页
Application Research of Computers
基金
江西省自然科学基金资助项目(2009GQS0062)
关键词
多目标优化
多目标微粒群优化
算法
应用
multi-objective optimization
multi-objective particle swarm optimization(MOPSO)
algorithm
application