Uniform oevolution for solving the density classification problem in cellular automata

摘要: Uniform Coevolution is based on competitive evolution ideas where the solution and example sets are evolving by means of a competition to generate difficult test beds for solutions in gradual way. The method has been tested with density parity problem cellular automata, selected examples can biased founded. results show high value generality using coevolution, compared no Co-evolutive approaches.