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 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.
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Keyword(in English) Multi-objective optimization / Particle swarm optimization / Chaotic neural networks
Paper # NLP2011-150
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Committee NLP
Conference Date 2012/3/20(1days)
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Registration To Nonlinear Problems (NLP)
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
Date of Issue