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Fitness uniform optimization

Hutter, Marcus; Legg, Shane


In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. The right selection pressure is critical in ensuring sufficient optimization progress on the one hand and in preserving genetic diversity to be able to escape from local optima on the other hand. Motivated by a universal similarity relation on the individuals, we propose a new selection scheme, which is uniform in the...[Show more]

CollectionsANU Research Publications
Date published: 2006-10-21
Type: Journal article
Source: IEEE Transactions on Evolutionary Computation
DOI: 10.1109/TEVC.2005.863127


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