Fitness uniform optimisation
In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of fitter 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 fitness...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Evolutionary Computation|
|01_Hutter_Fitness_uniform_op_2006.pdf||1.17 MB||Adobe PDF||Request a copy|
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