Synthesizing chaotic systems with genetic programming

Qiang Jia; Wallace K. S. Tang

doi:10.1109/IWCFTA.2010.110

Synthesizing chaotic systems with genetic programming

Department of Electrical Engineering

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2010 International Workshop on Chaos-Fractal Theories and Applications, IWCFTA 2010
Pages	132-136
DOIs	https://doi.org/10.1109/IWCFTA.2010.110
Publication status	Published - 2010
Event	3rd International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2010 - Kunming, Yunnan, China Duration: 29 Oct 2010 → 31 Oct 2010

Conference

Conference	3rd International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2010
Place	China
City	Kunming, Yunnan
Period	29/10/10 → 31/10/10

Research Keywords

Chaotic system
Genetic programming
Lyapunov exponents
Optimization

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10.1109/IWCFTA.2010.110

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title = "Synthesizing chaotic systems with genetic programming",

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. {\textcopyright} 2010 IEEE.",

keywords = "Chaotic system, Genetic programming, Lyapunov exponents, Optimization",

author = "Qiang Jia and Tang, {Wallace K. S.}",

year = "2010",

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booktitle = "Proceedings - 2010 International Workshop on Chaos-Fractal Theories and Applications, IWCFTA 2010",

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AU - Jia, Qiang

AU - Tang, Wallace K. S.

PY - 2010

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AB - 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.

KW - Chaotic system

KW - Genetic programming

KW - Lyapunov exponents

KW - Optimization

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78751530597&origin=recordpage

U2 - 10.1109/IWCFTA.2010.110

DO - 10.1109/IWCFTA.2010.110

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769542478

SP - 132

EP - 136

BT - Proceedings - 2010 International Workshop on Chaos-Fractal Theories and Applications, IWCFTA 2010

T2 - 3rd International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2010

Y2 - 29 October 2010 through 31 October 2010

ER -

Synthesizing chaotic systems with genetic programming

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