A Hybrid Method for Predicting Chaotic Tent Map

This paper presents Genetic Algorithm based Cellular Automata for predicting chaotic time series. The simple and interesting Tent map,x  n+1=a(1-2|1/2-x n), is used here. The values are first coded into binary form and the first N of them are given as initial condition to Cellular  Automata (CA). Genetic Algorithm evolves CA rules, and the second N values of the map are the CA output. One of the important advantages of  this work in compare with others is its ability for parallel computing.

Foroogh Motallebzadeh  , Caro Lucas
Electrical and Computing Engineering Department, Tehran University, Tehran, Iran
School of Cognitive Sciences, Institute for studies in theoretical Physics and Mathematics (IPM), Tehran

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