Presentation 2012-05-28
A basic study on particle swarm optimization with a hierachical structures
Kazuki KOMORI, Kazuhiro HOMMA, Tadashi TSUBONE,
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Abstract(in English) In this work, we have considered Particle Swarm Optimization (abbr. PSO) with hierachical structures in order to solve some constrained optimization problems. The particle swarm optimization method with hierachical structures is to satisfy the constrain conditions in the lower layer and to optimiza the objective function in the upper layer. By doing so can be applied to constrained optimization problems which can not be solved to the basic PSO. In this report, we apply this technique to some constrained optimization problems and evaluate its performance.
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Keyword(in English) Constrained Optimization Problems / Particle Swarm Optimization
Paper # NLP2012-29
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Committee NLP
Conference Date 2012/5/21(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) A basic study on particle swarm optimization with a hierachical structures
Sub Title (in English)
Keyword(1) Constrained Optimization Problems
Keyword(2) Particle Swarm Optimization
1st Author's Name Kazuki KOMORI
1st Author's Affiliation Nagaoka University of Technology()
2nd Author's Name Kazuhiro HOMMA
2nd Author's Affiliation Information Technology Business Development Department, GaiaX Co. Ltd.
3rd Author's Name Tadashi TSUBONE
3rd Author's Affiliation Nagaoka University of Technology
Date 2012-05-28
Paper # NLP2012-29
Volume (vol) vol.112
Number (no) 69
Page pp.pp.-
#Pages 4
Date of Issue