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Evolution of Complex Behavior in Cellular Automata

By Matúš Kontra


Celular automata are one of many alternative models of computation. Massive parallelism and the posibillity to describe their local behaviour in a simple way are of particular interest. This thesis describes a different way of representing the local transfer function of cellular automata, which is particulary suitable for use in genetic algorithm. This representation is based on simple model, mirroring the way instruction based register machines operate. The aim of this publication is to analyze and assess applicability of proposed method

Topics: celulárne automaty; evolution algorithms; instuction based representation; reprezentácia inštrukciami; celular automata coding for evolution algorithms; celular automata; vhodné kódovanie celulárnych automatov v evolučných algoritmoch; evolučné algoritmy; evolúcia celulárnych automatov
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2012
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