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Investigation on cellular automaton rule estimation

dc.contributor.authorKroczek, Lukáš
dc.contributor.authorZelinka, Ivan
dc.date.accessioned2018-02-01T13:22:10Z
dc.date.available2018-02-01T13:22:10Z
dc.date.issued2018
dc.identifier.citationJournal of Cellular Automata. 2018, vol. 13, issue 4, p. 307-323.cs
dc.identifier.issn1557-5969
dc.identifier.issn1557-5977
dc.identifier.urihttp://hdl.handle.net/10084/123585
dc.description.abstractIn this article is investigate possibility of evolutionary algorithms use on one-dimensional cellular automaton rule estimation. Selected evolutionary algorithms are used in order to estimate rules that are used in cellular automaton like rule 30, 90 etc. Selected evolutionary algorithms are used as for example differential evolution or SOMA algorithms. Results are mutually compared and reported in the article. The main aim is to use techniques proposed here on more complex structures and automatons, as discussed in the conclusion.cs
dc.language.isoencs
dc.publisherOld City Publishingcs
dc.relation.ispartofseriesJournal of Cellular Automatacs
dc.subjectcellular automatoncs
dc.subjectevolutionary algorithmscs
dc.subjectSOMAcs
dc.subjectdifferential evolutioncs
dc.subjectparticle swarm optimizationcs
dc.subjectevolutionary strategiescs
dc.subjectsimulated annealingcs
dc.titleInvestigation on cellular automaton rule estimationcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume13cs
dc.description.issue4cs
dc.description.lastpage323cs
dc.description.firstpage307cs
dc.identifier.wos000422618100002


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