Presentation | 2013-10-28 Canonical Deterministic Particle Swarm Optimization Kenya JIN'NO, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | particle swarm optimization / canonical / deterministic / transfer matrix / eigenvalue |
Paper # | NLP2013-82 |
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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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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) | 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 |