Modified binary particle swarm optimization

被引：132
作者：
Lee, Sangwook [2 ]
Soak, Sangmoon [3 ]
Oh, Sanghoun [1 ]
Pedrycz, Witold [4 ]
Jeon, Moongu [1 ]
机构：
[1] Gwangju Inst Sci & Technol, Dept Informat & Commun, Gwanju, South Korea
[2] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
[3] KIPO, Informat Syst Examinat Team, Dunsandong, Seogu, South Korea
[4] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
来源：
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL | 2008年 / 18卷 / 09期
关键词：
Binary particle swarm optimization; Genotype-phenotype; Mutation;
D O I：
10.1016/j.pnsc.2008.03.018
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a modified binary particle swarm optimization (BPSO) which adopts concepts of the genotype-phenotype representation 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. (C) 2008 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.
引用
收藏
页码：1161 / 1166
页数：6
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