Presentation 2005-12-16
Synthesis of CAs having desired patterns : a method based on GA
Satoshi SUZUKI, Toshimichi SAITO, Hiroyuki TORIKAI, Takashi YAMAMICHI,
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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 even for our objective 2-state 5-neighbor CAs and brute-force search is almost impossible. Our synthesis method is based on the genetic algorithm (GA) where a rule table corresponds to a gene. 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 considered an application to reduction of noise inserted randomly to a spatio-temporal pattern.
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Keyword(in English) Cellular automata / Genetic Algorithms / Boolean function approximation
Paper # NLP2005-97
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Committee NLP
Conference Date 2005/12/9(1days)
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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
3rd Author's Name Hiroyuki TORIKAI
3rd Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
4th Author's Name Takashi YAMAMICHI
4th Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
Date 2005-12-16
Paper # NLP2005-97
Volume (vol) vol.105
Number (no) 483
Page pp.pp.-
#Pages 4
Date of Issue