سال انتشار: ۱۳۸۵

محل انتشار: نهمین کنفرانس دانشجویی مهندسی برق

تعداد صفحات: ۴

نویسنده(ها):

Foroogh Motallebzadeh – Electrical and Computing Engineering Department, Tehran University, Tehran, Iran
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, Iran

چکیده:

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 Cellularutomata (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