Presentation	2013-10-28 A Study on Optimizer using Swarm of Chaotic Dynamical Particles Yoshikazu YAMANAKA, Tadashi TSUBONE,
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Abstract(in English)	We propose Optimizer using Swarm of Chaotic Dynamical Particles. One of well-known heuristic optimization method is Particle Swarm Optimization, PSO. In PSO, the particle follows dynamics that contains stochastic factors. This stochastic factors improve its performance of searching an optimal solution, however, they makes it difficult to theoretically analyze the behavior of particles. In this paper, we propose an optimization method using chaotic dynamics. This method denotes better performance than PSO without any stochastic terms. We compare the proposed method with PSO that contains stochastic elements and deterministic PSO models by some experimental results. As the results, our proposed method denoted better performance than PSO especially for multimodal functions.
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Keyword(in English)	Optimization methods / chaos / nonlinear oscillators
Paper #	NLP2013-84
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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)	A Study on Optimizer using Swarm of Chaotic Dynamical Particles
Sub Title (in English)
Keyword(1)	Optimization methods
Keyword(2)	chaos
Keyword(3)	nonlinear oscillators
1st Author's Name	Yoshikazu YAMANAKA
1st Author's Affiliation	Nagaoka University of Technology()
2nd Author's Name	Tadashi TSUBONE
2nd Author's Affiliation	Nagaoka University of Technology
Date	2013-10-28
Paper #	NLP2013-84
Volume (vol)	vol.113
Number (no)	271
Page	pp.pp.-
#Pages	6
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