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Publication Details

Evolution of Cellular Automata with Conditionally Matching Rules

BIDLO Michal and VAŠÍČEK Zdeněk. Evolution of Cellular Automata with Conditionally Matching Rules. In: 2013 IEEE Congress on Evolutionary Computation (CEC 2013). Cancún: IEEE Computer Society, 2013, pp. 1178-1185. ISBN 978-1-4799-0452-5. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6557699
Czech title
Evoluční návrh celulárních automatů využívajících podmínková pravidla
Type
conference paper
Language
english
Authors
URL
Keywords
Evolutionary algorithm, cellular automaton, conditional rule, replication, pattern transformation
Abstract
This paper introduces a method of representing transition functions for the purposes of evolutionary design of cellular automata. The proposed approach is based on conditions specified in the transition rules that have to be satisfied in order to determine the next state of a cell according to a specific rule. The goal of this approach is to reduce the number of elements needed to represent a transition function while preserving the possibility to specify traditional transition rules kown from the conventional table-based representation. In order to demonstrate abilities of the proposed approach, the replication problem and pattern transformation problem in cellular automata will be investigated. It will be shown that the evolution is able to design transition functions for non-trivial behavior of two-dimensional cellular automata that perfectly fulfil the specified requirements.
Published
2013
Pages
1178-1185
Proceedings
2013 IEEE Congress on Evolutionary Computation (CEC 2013)
Conference
IEEE Congress on Evolutionary Computation, Cancún, MX
ISBN
978-1-4799-0452-5
Publisher
IEEE Computer Society
Place
Cancún, MX
DOI
BibTeX
@INPROCEEDINGS{FITPUB10291,
   author = "Michal Bidlo and Zden\v{e}k Va\v{s}\'{i}\v{c}ek",
   title = "Evolution of Cellular Automata with Conditionally Matching Rules",
   pages = "1178--1185",
   booktitle = "2013 IEEE Congress on Evolutionary Computation (CEC 2013)",
   year = 2013,
   location = "Canc\'{u}n, MX",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4799-0452-5",
   doi = "10.1109/CEC.2013.6557699",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10291"
}
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