Fitness uniform optimization
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]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Evolutionary Computation|
|Hutter and Legg Fitness Uniform Optimization 2006.pdf||569.87 kB||Adobe PDF|
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