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Investigation on Cellular Automaton Rule Estimation
Lukas Kroczek and Ivan Zelinka

In 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.

Keywords: Cellular automaton, evolutionary algorithms, SOMA, differential evolution, particle swarm optimization, evolutionary strategies, simulated annealing

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