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 (1-21/2-xn), is used here. The values are first coded into binary form and the first N of them are given as initial condition to Cellular utomata (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

کلیدواژه ها:

Cellular Automata ، chaotic time series ، Genetic Algorithm