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On the model updating operators in univariate estimation of distribution algorithms

dc.contributor.authorBronevich, Andrey G.
dc.contributor.authorOliveira, José Valente de
dc.date.accessioned2017-04-07T15:56:37Z
dc.date.available2017-04-07T15:56:37Z
dc.date.issued2016-07
dc.description.abstractThe 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.
dc.identifier.doi10.1007/s11047-015-9499-0
dc.identifier.issn1567-7818
dc.identifier.otherAUT: JVO01594;
dc.identifier.urihttp://hdl.handle.net/10400.1/9472
dc.language.isoeng
dc.peerreviewedyes
dc.relation.isbasedonWOS:000376763500012
dc.titleOn the model updating operators in univariate estimation of distribution algorithms
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage354
oaire.citation.issue2
oaire.citation.startPage335
oaire.citation.titleNatural Computing
oaire.citation.volume15
person.familyNameLUÍS VALENTE DE OLIVEIRA
person.givenNameJOSÉ
person.identifier.ciencia-id1F12-C1D3-7717
person.identifier.orcid0000-0001-5337-5699
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicationbb726e73-690c-4a33-822e-c47bdac3035b
relation.isAuthorOfPublication.latestForDiscoverybb726e73-690c-4a33-822e-c47bdac3035b

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