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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cellular automata / Genetic Algorithms / Boolean function approximation |
Paper # | CAS2007-34,NLP2007-62 |
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Committee | NLP |
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Conference Date | 2007/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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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 |
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