Theory of Estimation-of-Distribution Algorithms

14 Jun 2018Martin S. KrejcaCarsten Witt

Estimation-of-distribution algorithms (EDAs) are general metaheuristics used in optimization that represent a more recent alternative to classical approaches like evolutionary algorithms. In a nutshell, EDAs typically do not directly evolve populations of search points but build probabilistic models of promising solutions by repeatedly sampling and selecting points from the underlying search space... (read more)

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