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Regular version of the site

Article

On the model updating operators in univariate estimation of distribution algorithms

Natural Computing. 2016. Vol. 15. No. 2. P. 335-354.
Bronevich A.G., Valente de Oliveira J.

The role of the selection operation—that stochastically discriminate between individuals based on their merit—on the updating of the probability model in univariate estimation of distribution algorithms is investigated. Necessary conditions for an operator to model selection in such a way that it can be used directly for updating the probability model are postulated. A family of such operators that generalize current model updating mechanisms is proposed. A thorough theoretical analysis of these operators is presented, including a study on operator equivalence. A comprehensive set of examples is provided aiming at illustrating key concepts, main results, and their relevance. © 2015 Springer Science+Business Media Dordrecht