Presentation 2015-11-01
Analysis of Deterministic Swarm Intelligence Optimization
Kenya Jin'no,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To solve optimization problems promptly, various optimal solution search methods called meta-heuristics are proposed. Such optimal solution search methods are also called swarm intelligence optimization. These methods contain stochastic factor. The stochastic factor achieves to improve the search performance effectively. However, these methods cannot find the same solution if the identical initial values are used because the system contains the stochastic factor. Also, the stochastic system can not be searched good solution only probabilistically. Therefore, we proposed deterministic systems that can guarantee to find the optimal solution in the case of a certain initial value. In this article, we analyze the dynamics of the deterministic PSO.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) meta-heuristics / swarm intelligence / optimization / deterministic / PSO
Paper # NLP2015-121
Date of Issue 2015-10-24 (NLP)

Conference Information
Committee NLP
Conference Date 2015/10/31(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Nobumoto Ohama Memorial Hall
Topics (in Japanese) (See Japanese page)
Topics (in English) Nonlinear Problems, etc.
Chair Kenya Jinno(Nippon Inst. of Tech.)
Vice Chair Naoto Fujisaka(Hiroshima City Univ.)
Secretary Naoto Fujisaka(Tokyo Univ. of Science)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyuki Asahara(Okayama Univ. of Science)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Deterministic Swarm Intelligence Optimization
Sub Title (in English)
Keyword(1) meta-heuristics
Keyword(2) swarm intelligence
Keyword(3) optimization
Keyword(4) deterministic
Keyword(5) PSO
1st Author's Name Kenya Jin'no
1st Author's Affiliation Nippon Institute of Technology(NIT)
Date 2015-11-01
Paper # NLP2015-121
Volume (vol) vol.115
Number (no) NLP-284
Page pp.pp.81-85(NLP),
#Pages 5
Date of Issue 2015-10-24 (NLP)