Presentation | 2012-03-27 Solving Multi-objective Optimization Problems Using Particle Swarm Optimization Methods with Switching by Chaotic Neurodynamics Toshihiro TACHIBANA, Masaharu ADACHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a method for solving multi-objective optimization problems is proposed. The proposed method switches more than two particle swarm optimization (PSO) methods with switching by chaotic neurodynamics. It is based on previous work by the authors for switching only two methods. In the proposed switching of PSO methods, a switching algorithm for asymmetric traveling salesman problem (TSP) proposed by the authors is applied. The proposed method utilizes tabu effects with exponential decays using refractory effects of chaotic neurons in the network for determining the switching. The performance of the proposed method is equal to or better than that of the previous one. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-objective optimization / Particle swarm optimization / Chaotic neural networks |
Paper # | NLP2011-150 |
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Committee | NLP |
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Conference Date | 2012/3/20(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Solving Multi-objective Optimization Problems Using Particle Swarm Optimization Methods with Switching by Chaotic Neurodynamics |
Sub Title (in English) | |
Keyword(1) | Multi-objective optimization |
Keyword(2) | Particle swarm optimization |
Keyword(3) | Chaotic neural networks |
1st Author's Name | Toshihiro TACHIBANA |
1st Author's Affiliation | Graduate School of Advanced Science and Technology, Tokyo Denki University() |
2nd Author's Name | Masaharu ADACHI |
2nd Author's Affiliation | Graduate School of Advanced Science and Technology, Tokyo Denki University |
Date | 2012-03-27 |
Paper # | NLP2011-150 |
Volume (vol) | vol.111 |
Number (no) | 498 |
Page | pp.pp.- |
#Pages | 6 |
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