NDLI: Control a Novel Discrete Chaotic System through Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Fei Gao Hengqing Tong
Copyright Year	2006
Description	Author affiliation: Dept. of Math., Wuhan Univ. of Technol. (Fei Gao; Hengqing Tong)
Abstract	To investigate the inherent chaotic phenomenon in genetic algorithms (GA), a novel chaos control approach through particle swarm optimization (PSO) (CCPSO) with three main processes is proposed. Firstly it detects the dynamical behaviors of a new discrete chaotic system with rational fraction in GA such as its unstable periodic points. Then it directs the chaotic system to its unstable fix point from any initial point by global controlling factors $\{U_{k}\}$ solved self-adaptively by PSO. Thirdly a multi-model solution for chaos control with double plasticity of parameter and structure generated by PSO is proposed to stabilize the system on its unstable fix point. And finally details of applying the proposed method into CCPSO are given, and experiments done show the put approach's effectiveness
Starting Page	3330
Ending Page	3334
File Size	218025
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712984
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Chaos Particle swarm optimization Chaotic communication Educational technology Genetic algorithms Fractals Logistics Biology computing Mathematics discrete chaotic system Chaos control unstable periodical point particle swarm optimization
Content Type	Text
Resource Type	Article

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