Presentation 2007-10-18
Synthesis of CAs having desired patterns : a method based on GA
Satoshi SUZUKI, Toshimichi SAITO,
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Abstract(in English) This paper studies synthesis problem of cellular automaton (CA) that generates desired spatio-temporal pattern. Although time evolution of CA is determined by a rule table, the number of rule tables are enormous and brute-force search is almost impossible. Our synthesis method is based on the genetic algorithm (GA) where a rule table and a rule corresponds to a chromosome and a gene respectivly. Preserving desired genes the GA evolves and generates a desired rule table. Efficiency of the algorithm is confirmed by basic numerical experiments. We have also applied the method to reduction of noise inserted randomly to a spatio-temporal pattern. Moreover, we have considered evaluation based on spatio-temporal patterns.
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Keyword(in English) Cellular automata / Genetic Algorithms / Boolean function approximation
Paper # CAS2007-34,NLP2007-62
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Committee NLP
Conference Date 2007/10/11(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Synthesis of CAs having desired patterns : a method based on GA
Sub Title (in English)
Keyword(1) Cellular automata
Keyword(2) Genetic Algorithms
Keyword(3) Boolean function approximation
1st Author's Name Satoshi SUZUKI
1st Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
Date 2007-10-18
Paper # CAS2007-34,NLP2007-62
Volume (vol) vol.107
Number (no) 266
Page pp.pp.-
#Pages 4
Date of Issue