Departmental Bulletin Paper 混合ルールセルオートマトンの解析と合成
LEARNING OF MIXED-RULE CELLULAR AUTOMATA BASED ON THE GENETIC ALGORITHM

澤山, 良  ,  SAWAYAMA, Ryo

562015-03-24 , 法政大学大学院理工学・工学研究科
ISSN:21879923
NCID:AA12677220
Description
This paper studies the cellular automaton (CA) governed by combination of two rules. First, we analyze a class of CA that generates several isolated spatiotemporal patterns without transient phenomena. Second, we present an evolutionary algorithm that tries to optimize the combination of two rules to stabilize the desired isolated patterns. Performing basic numerical experiments, it is shown that the evolutionary algorithm can make transient phenomena and can stabilize the desired isolated patterns.
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http://repo.lib.hosei.ac.jp/bitstream/10114/10438/1/13R3131.pdf

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