| Presentation | 2013-10-28 Parameter Search for Solving Quadratic Assignment Problems : A Case using Particle Swarm Optimization and GPGPU Toshihiro TACHIBANA, Masaharu ADACHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The authors have proposed a method for solving multi-objective optimization problems. The proposed method switches more than two particle swarm optimization (PSO) methods with switching by chaotic neurodynamics.In general, a method for combinatorial optimization problems using chaotic neurodynamics need to set optimum parameters. However, searching the optimal parameters is difficult. Therefore, we consider parameter search problems as multi-objective optimization problems.In this article, the proposed method is applied to parameter search problems for solving quadratic assignment problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Particle swarm optimization / Multi-optimization problem / GPGPU |
| Paper # | NLP2013-77 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/10/21(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Parameter Search for Solving Quadratic Assignment Problems : A Case using Particle Swarm Optimization and GPGPU |
| Sub Title (in English) | |
| Keyword(1) | Particle swarm optimization |
| Keyword(2) | Multi-optimization problem |
| Keyword(3) | GPGPU |
| 1st Author's Name | Toshihiro TACHIBANA |
| 1st Author's Affiliation | Department of Applied Computer Sciences, School of Engineering, Shonan Institute of Technology() |
| 2nd Author's Name | Masaharu ADACHI |
| 2nd Author's Affiliation | Department of Electrical and Electric Engineering, Tokyo Denki University |
| Date | 2013-10-28 |
| Paper # | NLP2013-77 |
| Volume (vol) | vol.113 |
| Number (no) | 271 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |