Synthesizing chaotic systems with genetic programming

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2010 International Workshop on Chaos-Fractal Theories and Applications, IWCFTA 2010
Pages132-136
Publication statusPublished - 2010

Conference

Title3rd International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2010
PlaceChina
CityKunming, Yunnan
Period29 - 31 October 2010

Abstract

In this paper, it is to apply genetic programming to explore some new chaotic systems. Based on a tree representation, each function in the state dynamical equation of a chaotic system can be well defined. Thus, through the optimization process governed by genetic programming, it is demonstrated that some new potential forms can be determined, for which chaotic systems are obtained by having tuning of the coefficients. © 2010 IEEE.

Research Area(s)

  • Chaotic system, Genetic programming, Lyapunov exponents, Optimization

Citation Format(s)

Synthesizing chaotic systems with genetic programming. / Jia, Qiang; Tang, Wallace K. S.
Proceedings - 2010 International Workshop on Chaos-Fractal Theories and Applications, IWCFTA 2010. 2010. p. 132-136 5671295.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review