Learning individual mating preferences
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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A novel cellular genetic algorithm is developed to address the issues of good mate selection. This is accomplished through reinforcement learning where good mating individuals attract and poor mating individuals repel. Adaptation of good mate choice occurs, thus leading to more efficient search. Results are presented for various test cases.