Presentation 2015-04-24
Investigation of Particle Swarm Optimization with Two strategic Predators
Norio Inukai, Yoko Uwate, Yoshifumi Nishio,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Particle Swarm Optimization (PSO) is known as one of Swarm Intelligence. PSO algorithm is used for the system of fish school, bird flock and so on. PSO is used nature the rest of the herd is to gather the optimum point around one of fish school is to find the optimal point. PSO algorithm is simple and it is possible to find a solution easily, so it is possible for many applications. However, the standard PSO is hard to get out from local minimum. Accordingly, this time we propose PSO with Two Strategic Predators.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) PSO / Swarm Intelligence / Function optimization / Predator
Paper # NLP2015-24
Date of Issue 2015-04-16 (NLP)

Conference Information
Committee NLP
Conference Date 2015/4/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kagawa Social Welfare Center
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) Investigation of Particle Swarm Optimization with Two strategic Predators
Sub Title (in English)
Keyword(1) PSO
Keyword(2) Swarm Intelligence
Keyword(3) Function optimization
Keyword(4) Predator
1st Author's Name Norio Inukai
1st Author's Affiliation Tokushima University(Tokushima Univ.)
2nd Author's Name Yoko Uwate
2nd Author's Affiliation Tokushima University(Tokushima Univ.)
3rd Author's Name Yoshifumi Nishio
3rd Author's Affiliation Tokushima University(Tokushima Univ.)
Date 2015-04-24
Paper # NLP2015-24
Volume (vol) vol.115
Number (no) NLP-14
Page pp.pp.115-119(NLP),
#Pages 5
Date of Issue 2015-04-16 (NLP)