Cellular automaton rule extractor

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100499" target="_blank" >RIV/61989100:27240/16:86100499 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86100499
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-48499-0_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-48499-0_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-48499-0_3" target="_blank" >10.1007/978-3-319-48499-0_3</a>

Result language
angličtina
Original language name
Cellular automaton rule extractor
Original language description
This article describes using an evolutionary algorithms to finding an original rule of generated 1D cellular automaton. In this article will be verified possibility and precision of searching rule from generated 1D cellular automaton using different evolutionary algorithms, random generators and rule definition. This extractor can be used for finding cellular automaton rule generating animals patterns like pigment patterns on the shells of mollusks. (C) Springer International Publishing AG 2017.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Intelligent data analysis and applications: proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016
ISBN
978-3-319-48498-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
20-25
Publisher name
Springer
Place of publication
New York
Event location
Fu-čou
Event date
Nov 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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