Presentation 2021-03-03
Realization of Global Search and Local Search in Particle Multi-Swarm Optimization
Hiroshi Sho,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of global search and local search in particle multi-swarm optimization. The crucial idea, here, is to use the learning rule of the multi-layer neural network as the evaluative criterion is introduced under particle swarm optimization, which realizes a mixed search of global search and local search. We introduce this search feature into the search method of centralized intelligent particle multi-swarm optimization and attempt to handle the parity problem of pattern classification. Through implementing various computer experiments to analyze the obtained search results and features, the search characteristics and performance effects of the devised mixed search method were clarified.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) swarm intelligence / evolutionary computation / particle multi-swarm optimization / pattern classification / neural networks / mixed search
Paper # NC2020-53
Date of Issue 2021-02-24 (NC)

Conference Information
Committee NC / MBE
Conference Date 2021/3/3(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Neuro Computing, Medical Engineering, etc.
Chair Kazuyuki Samejima(Tamagawa Univ) / Takashi Watanabe(Tohoku Univ.)
Vice Chair Rieko Osu(Waseda Univ.) / Ryuhei Okuno(Setsunan Univ.)
Secretary Rieko Osu(NTT) / Ryuhei Okuno(ATR)
Assistant Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) / Jun Akazawa(Meiji Univ. of Integrative Medicine)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Realization of Global Search and Local Search in Particle Multi-Swarm Optimization
Sub Title (in English)
Keyword(1) swarm intelligence
Keyword(2) evolutionary computation
Keyword(3) particle multi-swarm optimization
Keyword(4) pattern classification
Keyword(5) neural networks
Keyword(6) mixed search
1st Author's Name Hiroshi Sho
1st Author's Affiliation Kyushu Institute of Technology(Kyutech)
Date 2021-03-03
Paper # NC2020-53
Volume (vol) vol.120
Number (no) NC-403
Page pp.pp.59-64(NC),
#Pages 6
Date of Issue 2021-02-24 (NC)