DocumentCode
1710656
Title
Synthesizing Chaotic Systems with Genetic Programming
Author
Jia, Qiang ; Tang, Wallace K S
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
fYear
2010
Firstpage
132
Lastpage
136
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.
Keywords
genetic algorithms; tree searching; genetic programming; optimization; state dynamical equation; synthesizing chaotic system; Chaos; Equations; Evolutionary computation; Genetic programming; Mathematical model; Optimization; Tuning; Lyapunov exponents; chaotic system; genetic programming; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Chaos-Fractals Theories and Applications (IWCFTA), 2010 International Workshop on
Conference_Location
Kunming, Yunnan
Print_ISBN
978-1-4244-8815-5
Type
conf
DOI
10.1109/IWCFTA.2010.110
Filename
5671295
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