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A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging

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dc.contributor.authorToledo, Claudio Fabiano Motta
dc.contributor.authorDe Oliveira, Renato Resende Ribeiro
dc.contributor.authorMorelato França, Paulo [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionFederal University of Lavras
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:28:45Z
dc.date.available2014-05-27T11:28:45Z
dc.date.issued2013-04-01
dc.description.abstractThe present paper proposes a new hybrid multi-population genetic algorithm (HMPGA) as an approach to solve the multi-level capacitated lot sizing problem with backlogging. This method combines a multi-population based metaheuristic using fix-and-optimize heuristic and mathematical programming techniques. A total of four test sets from the MULTILSB (Multi-Item Lot-Sizing with Backlogging) library are solved and the results are compared with those reached by two other methods recently published. The results have shown that HMPGA had a better performance for most of the test sets solved, specially when longer computing time is given. © 2012 Elsevier Ltd.en
dc.description.affiliationUniversity of São Paulo Institute of Mathematics and Computer Science
dc.description.affiliationFederal University of Lavras Department of Computer Science
dc.description.affiliationUNESP Department of Mathematics and Computing
dc.description.affiliationUnespUNESP Department of Mathematics and Computing
dc.format.extent910-919
dc.identifierhttp://dx.doi.org/10.1016/j.cor.2012.11.002
dc.identifier.citationComputers and Operations Research, v. 40, n. 4, p. 910-919, 2013.
dc.identifier.doi10.1016/j.cor.2012.11.002
dc.identifier.issn0305-0548
dc.identifier.scopus2-s2.0-84870952214
dc.identifier.urihttp://hdl.handle.net/11449/74919
dc.identifier.wosWOS:000314483400002
dc.language.isoeng
dc.relation.ispartofComputers and Operations Research
dc.relation.ispartofjcr2.962
dc.relation.ispartofsjr1,916
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectBacklogging
dc.subjectFix and optimize
dc.subjectGenetic algorithms
dc.subjectHybridization
dc.subjectLot sizing
dc.subjectMulti-level
dc.subjectHeuristic methods
dc.subjectMathematical programming
dc.titleA hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backloggingen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dspace.entity.typePublication

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