Presentation 2013-10-28
Canonical Deterministic Particle Swarm Optimization
Kenya JIN'NO,
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Abstract(in English) A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems. The PSO algorithm can search an optimal value of a given evaluation function quickly compared with other proposed meta-heuristics algorithms. The conventional PSO system contains some random factors, therefore, the dynamics of the system can be regarded as stochastic dynamics. In order to analyze the dynamics rigorously, some papers pay attention to deterministic PSO systems which does not contain any stochastic factors. According to these results, the eigenvalues of the system influence on the dynamics of the particles. Namely, the searching ability is depended on the eigenvalue. In order to analyze the characteristic of the dynamics of the particle, we have proposed a canonical deterministic PSO. In this article, we introduce the canonical deterministic PSO. Since the canonical deterministic PSO does not become unevenly search points, the optimal solution can be searched.
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Keyword(in English) particle swarm optimization / canonical / deterministic / transfer matrix / eigenvalue
Paper # NLP2013-82
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Conference Information
Committee NLP
Conference Date 2013/10/21(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Canonical Deterministic Particle Swarm Optimization
Sub Title (in English)
Keyword(1) particle swarm optimization
Keyword(2) canonical
Keyword(3) deterministic
Keyword(4) transfer matrix
Keyword(5) eigenvalue
1st Author's Name Kenya JIN'NO
1st Author's Affiliation EEE Dept., Nippon Institute of Technology()
Date 2013-10-28
Paper # NLP2013-82
Volume (vol) vol.113
Number (no) 271
Page pp.pp.-
#Pages 4
Date of Issue