Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51617

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dc.contributor.authorCosta, Linopor
dc.contributor.authorEspírito Santo, I. A. C. P.por
dc.contributor.authorOliveira, Pedropor
dc.date.accessioned2018-03-06T13:42:25Z-
dc.date.issued2013-
dc.identifier.issn0233-1934-
dc.identifier.urihttp://hdl.handle.net/1822/51617-
dc.description.abstractIn global optimization with evolutionary algorithms constraint handling presents major difficulties, especially in the case of equality constraints. Several techniques have been proposed to overcome this difficulty. In this work an adaptive constraint handling technique is studied on a set of test problems with two evolutionary algorithms. The results indicate that the proposed adaptive technique produces results with better quality in terms of objective function values and constraint violations. The comparison was assessed by performance profiles based on a new metric that considers information both on objective function value and constraints violation.por
dc.language.isoengpor
dc.publisherTaylor and Francispor
dc.rightsrestrictedAccesspor
dc.subjectConstraint handlingpor
dc.subjectEquality constraintspor
dc.subjectAdaptive techniquepor
dc.subjectGenetic algorithmpor
dc.subjectEvolution strategiespor
dc.titleAn adaptive constraint handling technique for evolutionary algorithmspor
dc.typearticlepor
dc.peerreviewedyespor
oaire.citationStartPage241por
oaire.citationEndPage253por
oaire.citationIssue2por
oaire.citationVolume62por
dc.date.updated2018-02-19T09:52:11Z-
dc.identifier.essn1029-4945-
dc.identifier.doi10.1080/02331934.2011.590486por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier2813-
sdum.journalOptimizationpor
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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