Presentation | 2020-03-05 Comparison of Differential Evolution and Particle Swarm Optimization on Search Performance Hiroshi Sho, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is to clarify the search performance and characteristics of differential evolution (DE) and particle swarm optimization (PSO). Due to achieve it, the search methods of both, i.e., DE/rand/1, DE/rand/2, DE/best/1, DE/best/2, The PSO, PSOIW, and CPSO, which are observed and analyzed in this paper. Specifically, many computer experiments are carried out to solve four benchmark problems by these search methods. Through the analysis of the obtained experimental data, the search performance and characteristics of them are clarified, respectively.As the obtained conclusion,it is found that DE/best/1 and The PSO have the best search performance. Based on these findings,we believe that it may be an important reference for the development and improvement of DE and PSO technologies in future. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | swarm intelligence / evolutionary computation / differential evolution / particle swarm optimization |
Paper # | NC2019-97 |
Date of Issue | 2020-02-26 (NC) |
Conference Information | |
Committee | NC / MBE |
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Conference Date | 2020/3/4(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | University of Electro Communications |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Neuro Computing, Medical Engineering, etc. |
Chair | Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.) |
Vice Chair | Kazuyuki Samejima(Tamagawa Univ) / Takashi Watanabe(Tohoku Univ.) |
Secretary | Kazuyuki Samejima(NAIST) / Takashi Watanabe(NTT) |
Assistant | Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Yasuyuki Suzuki(Osaka Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) |
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) | Comparison of Differential Evolution and Particle Swarm Optimization on Search Performance |
Sub Title (in English) | |
Keyword(1) | swarm intelligence |
Keyword(2) | evolutionary computation |
Keyword(3) | differential evolution |
Keyword(4) | particle swarm optimization |
1st Author's Name | Hiroshi Sho |
1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
Date | 2020-03-05 |
Paper # | NC2019-97 |
Volume (vol) | vol.119 |
Number (no) | NC-453 |
Page | pp.pp.125-130(NC), |
#Pages | 6 |
Date of Issue | 2020-02-26 (NC) |