Presentation 2019-09-23
Proposal of Particle Swarm Optimization based on Parallel Computing
Hayato Saiki, Yuuki Tago, Chihiro Ikuta,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we propose a novel particle swarm optimization introducing a parallel computing (PCPSO). We divide the particles to any groups. Each particle group searches a solution independent each other. In the original PSO, the particles gather to the global best and the local best. We introduce the other best which is the global best in the other particle group. In addition, the other best is updated at constant time. The PCPSO is influenced by three components for searching better solution. We confirm that the PCPSO obtain the ability of escaping out from the local minima and decreasing computation time by using some benchmark functions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Particle swarm optimization / Parallel computing / Local minimum
Paper # NLP2019-44
Date of Issue 2019-09-16 (NLP)

Conference Information
Committee NLP
Conference Date 2019/9/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Eikokuji Campus, University of Kochi
Topics (in Japanese) (See Japanese page)
Topics (in English) etc.
Chair Hiroaki Kurokawa(Tokyo Univ. of Tech.)
Vice Chair Kiyohisa Natsume(Kyushu Inst. of Tech.)
Secretary Kiyohisa Natsume(Nippon Inst. of Tech.)
Assistant Yutaka Shimada(Saitama Univ.) / Toshikaza Samura(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of Particle Swarm Optimization based on Parallel Computing
Sub Title (in English)
Keyword(1) Particle swarm optimization
Keyword(2) Parallel computing
Keyword(3) Local minimum
1st Author's Name Hayato Saiki
1st Author's Affiliation National Institute of Technology Suzuka College(NIT, Suzuka College)
2nd Author's Name Yuuki Tago
2nd Author's Affiliation National Institute of Technology Suzuka College(NIT, Suzuka College)
3rd Author's Name Chihiro Ikuta
3rd Author's Affiliation National Institute of Technology Suzuka College(NIT, Suzuka College)
Date 2019-09-23
Paper # NLP2019-44
Volume (vol) vol.119
Number (no) NLP-209
Page pp.pp.45-50(NLP),
#Pages 6
Date of Issue 2019-09-16 (NLP)