Evolving Rules for Cellular Automata Using Genetic Algorithms
Damian Hook
Abstract:
Genetic algorithms have widely been used to evolve the rules of cellular automata. For this to take place, a suitable fitness function is required in order to allow the genetic algorithm to manipulate the rules of the cellular automata towards a desired behavior. This paper researches how rules for aesthetically interesting cellular automata can be evolved using genetic algorithms. The cellular automata will be evolved interactively, using aesthetic opinion of the cellular automata as a fitness function.
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