| Presentation | 2007-06-15 Verification Test on The Effectiveness of Evolutionary Particle Swarm Optimization Hong ZHANG, Masumi ISHIKAWA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Since optimizing the values of parameters in Particle Swarm Optimization (PSO) can improve its performance of finding a globally optimal solution, meta-optimization methods have received wide attention in computer science and various application disciplines. This paper proposes Evolutionary Particle Swarm Optimization (EPSO) that can systematically estimate appropriate values of parameters in PSO for a given optimization problem by genetic computation without prior knowledge. To demonstrate the effectiveness of EPSO, computer experiments on benchmark problems are carried out. We give experimental results and analyze the features of EPSO. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | particle swarm optimization / genetic computation / real-coded genetic algorithm / elitism strategy / meta-optimization |
| Paper # | NC2007-23 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2007/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Verification Test on The Effectiveness of Evolutionary Particle Swarm Optimization |
| Sub Title (in English) | |
| Keyword(1) | particle swarm optimization |
| Keyword(2) | genetic computation |
| Keyword(3) | real-coded genetic algorithm |
| Keyword(4) | elitism strategy |
| Keyword(5) | meta-optimization |
| 1st Author's Name | Hong ZHANG |
| 1st Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Masumi ISHIKAWA |
| 2nd Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology |
| Date | 2007-06-15 |
| Paper # | NC2007-23 |
| Volume (vol) | vol.107 |
| Number (no) | 92 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |