GENETIC APPROACH FOR CELLULAR AUTOMATA GENERATION
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The article discusses the method for arbitrary cellular automata generation based on test samples using genetic algorithms. Issues arising from applying a classic genetic algorithm to the problem are described. Modified genetic operators for elimination of defects are shown. These operators are tested by a few training examples.