Coevolving Cellular Automata: Be Aware of the Red Queen!

This paper studies the use of coevolution to search for a cellular automaton (CA) solving the well-known density classification task. The Coevolutionary Genetic Algorithm (CGA) coevolves two non-interbreeding populations which interact as predator and prey. The main purpose of this paper is to illustrate some of the intricacies involved in the use of coevolution to solve a given task. Concepts from standard GA theory can be used to understand these problems. A simple modification is proposed to significantly increase the performance.

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