Presentation | 2021-03-03 Realization of Global Search and Local Search in Particle Multi-Swarm Optimization Hiroshi Sho, |
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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |