Emergent mating topologies in spatially structured genetic algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
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The structural characteristics of an inter-individual interaction topology have a large impact on the flow of genetic information throughout an evolving population. In this study, we systematically investigate the relationship between clustering in the network of observed mating events and the evolutionary dynamics of a panmictic genetic algorithm. This is achieved through the introduction of a new selection mechanism, which allows for a tunable degree of clustering in the emergent mating topology.