| Presentation | 2020-06-29 A Study on Centralized and Distributed Intelligent 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) | In this paper, we propose a new method of distributed intelligent particle multi-swarm optimization (DIPMSO) contrast to the existing method of centralized intelligent particle multi-swarm optimization (CIPMSO) in order to achieve the high-performance and diversity of particle multi-swarm search. The key idea, here, is to change the mode of intelligent judgment in particle multi-swarm search from centralized type to distributed type. Based on the search characteristics making every particle swarm to have an intelligent judgment function, therefore, particle multi-swarm search is performed by parallel processing with independently measuring the search status of each particle swarm. Since the autonomy of each particle swarm search can be retained, this approach will further improve the efficiency and conformity of particle multi-swarm search. Due to confirm the characteristics and effects of the exploratory behavior, many computer experiments are carried out to solve four benchmark problems by the proposed method of DIPMSO. By analyzing the experimental results obtained, specifically, the search performance and effect characteristics of the proposed approach are clarified. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | swarm intelligence / evolutionary computation / particle multi-swarm optimization / parallel processing / intelligent judgment |
| Paper # | NC2020-3,IBISML2020-3 |
| Date of Issue | 2020-06-22 (NC, IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2020/6/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuyuki Samejima(Tamagawa Univ) / Ichiro Takeuchi(Nagoya Inst. of Tech.) / Hiroyuki Kurata(Kyutech) / Masakazu Sekijima(Tokyo Tech) |
| Vice Chair | Rieko Osu(Waseda Univ.) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Rieko Osu(NTT) / Masashi Sugiyama(ATR) / Koji Tsuda(AIST) / (NTT) / (Chuo Univ.) |
| Assistant | Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) / Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / IPSJ Special Interest Group on Bioinformatics and Genomics / IPSJ Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Centralized and Distributed Intelligent Particle Multi-Swarm Optimization |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | evolutionary computation |
| Keyword(3) | particle multi-swarm optimization |
| Keyword(4) | parallel processing |
| Keyword(5) | intelligent judgment |
| 1st Author's Name | Hiroshi Sho |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2020-06-29 |
| Paper # | NC2020-3,IBISML2020-3 |
| Volume (vol) | vol.120 |
| Number (no) | NC-79,IBISML-80 |
| Page | pp.pp.15-20(NC), pp.15-20(IBISML), |
| #Pages | 6 |
| Date of Issue | 2020-06-22 (NC, IBISML) |