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
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;
Conference_Titel :
Chaos-Fractals Theories and Applications (IWCFTA), 2010 International Workshop on
Conference_Location :
Kunming, Yunnan
Print_ISBN :
978-1-4244-8815-5
DOI :
10.1109/IWCFTA.2010.110
