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GIST Scholar College of Artificial Intelligence Department of Electrical Engineering and Computer Science 1. Journal Articles

Modified binary particle swarm optimization

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Author(s)
Lee, Sangwook; Soak, Sangmoon; Oh, Sanghoun; Pedrycz, Witold; Jeon, Moongu
Type
Article
Citation
Progress in Natural Science: Materials International, v.18, no.9, pp.1161 - 1166
Issued Date
2008-09
Abstract
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.
Publisher
ELSEVIER SCIENCE INC
ISSN
1002-0071
DOI
10.1016/j.pnsc.2008.03.018
URI
https://scholar.gist.ac.kr/handle/local/17292
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