Modified binary particle swarm optimization

被引：8

作者：

Sangwook Lee ^{[1
]}

Sangmoon Soak ^{[2
]}

Sanghoun Oh ^{[3
]}

Witold Pedrycz ^{[4
]}

Moongu Jeon ^{[3
]}

机构：

[1] College of Computing, Georgia Institute of Technology, Atlanta, GA , USA

[2] Information Systems Examination Team, Korean Intellectual Property Ofice (KIPO), Government Complex Daejeon Building , Dunsandong, Seogu, Republic of Korea

[3] Department of Information and Communications, Gwangju Institute of Science and Technology, Cheomdan-gwagiro, Buk-gu, Gwanju, Republic of Korea

[4] Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada, TG V

来源：

Progress in Natural Science | 2008年 / 09期

关键词：

Binary particle swarm optimization; Genotype-phenotype; Mutation;

D O I：

暂无

中图分类号：

O224 [最优化的数学理论];

学科分类号：

070105 ; 1201 ;

摘要：

This paper presents a modified binary particle swarm optimization (BPSO) which adopts concepts of the genotype-phenotype rep-resentation and the mutation operator of genetic algorithms.Its main feature is that the BPSO can be treated as a continuous PSO.The proposed BPSO algorithm is tested on various benchmark functions, and its performance is compared with that of the original BPSO.Experimental results show that the modified BPSO outperforms the original BPSO algorithm.

引用

页码：1161 / 1166

页数：6

共 12 条

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