Presentation | 2007-03-16 Synthesis of Cellular Automata using Evolutionary Algoritrhms Satoshi SUZUKI, Toshimichi SAITO, |
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Abstract(in English) | This paper studies synthesis problem of cellular automata (CAs) that can generate desired spatio-temporal patterns. Time evolution of CA is determined by a rule table. As size of CAs increase, the number of rule tables increases exponentialy and brute-force search becomes almost impossible. We consider two contrasted synthesis methods based on genetic algorithm (GA) where a rule table corresponds to a chromsome. In the first method, the gene length is increased in order to synthesize 4-state CAs having self-similar spacio-temporal patterns. In the second method, suitable genes are selected and preserved in order to synthesize 2-state CAs for binary image processing. Efficiency of these algorithms is confirmed by basic numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cellular automata / Genetic Algorithms |
Paper # | NC2006-195 |
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Committee | NC |
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Conference Date | 2007/3/9(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Synthesis of Cellular Automata using Evolutionary Algoritrhms |
Sub Title (in English) | |
Keyword(1) | Cellular automata |
Keyword(2) | Genetic Algorithms |
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 | 2007-03-16 |
Paper # | NC2006-195 |
Volume (vol) | vol.106 |
Number (no) | 590 |
Page | pp.pp.- |
#Pages | 4 |
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