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View all- Wang EKurniawati HKroese D(2016)CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed BanditsArtificial Life and Computational Intelligence10.1007/978-3-319-51691-2_30(353-365)Online publication date: 27-Dec-2016
Blindly chasing after fitness is not the best strategy for optimization of hard problems, as it usually leads to premature convergence and getting stuck in low-quality local optima. Several techniques such as niching or quality-diversity algorithms have ...
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 ...
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