| Presentation | 2018-06-13 The Search Performance of Hybrid Particle Swarm Optimizers with Information Sharing Hiroshi Sho, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As an earlier study, author proposed multiple particle swarm optimizers with information sharing, and showed that the methods have good search performance and effectiveness. Due to focus on the mixed effect of different particle swarm search, in this paper, we develop particle multi-swarm optimizers with higher search capability and diversity. For this purpose, it is realized by the configuration of particle multi-swarm with different search features. After constructing the particle swarm optimizers, in addition to incorporating strategies with information sharing, we propose hybrid particle swarm optimizers with information sharing. Here, the key idea is to perform the multi-swarm search that simultaneously take the balance between global search and local search. To clarify the performance and effect of the proposed method by information sharing in the multi-swarm search, computer experiments of a suite of benchmark problems are carried out, we investigate search feature and performance effect from the experimental results obtained. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | swarm intelligence / particle swarm optimization / information sharing / mixed effect / search performance |
| Paper # | NC2018-6 |
| Date of Issue | 2018-06-06 (NC) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2018/6/13(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Yutaka Hirata(Chubu Univ.) / Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Hayaru Shouno(UEC) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Hayaru Shouno(Nagoya Univ.) / Masashi Sugiyama(NAIST) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) |
| Assistant | Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / 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) | The Search Performance of Hybrid Particle Swarm Optimizers with Information Sharing |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | particle swarm optimization |
| Keyword(3) | information sharing |
| Keyword(4) | mixed effect |
| Keyword(5) | search performance |
| 1st Author's Name | Hiroshi Sho |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2018-06-13 |
| Paper # | NC2018-6 |
| Volume (vol) | vol.118 |
| Number (no) | NC-80 |
| Page | pp.pp.3-8(NC), |
| #Pages | 6 |
| Date of Issue | 2018-06-06 (NC) |