Key points are not available for this paper at this time.
Unlike traditional evolutionary algorithms which produce offspring via genetic operators, Estimation of Distribution Algorithms (EDAs) sample solutions from probabilistic models which are learned from selected individuals. It is hoped that ED As may improve optimisation performance on epistatic fitness landscapes by learning variable interactions.
Lehre et al. (Fri,) studied this question.