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Publicação:
Genetic Algorithm, MIP and Improvement Heuristic Applied to the MLCLP with Backlogging

dc.contributor.authorToledo, Claudio F. M.
dc.contributor.authorHossomi, Marcelo Y. B.
dc.contributor.authorArantes, Marcio da Silva
dc.contributor.authorFranca, Paulo Morelato [UNESP]
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:37:02Z
dc.date.available2020-12-10T16:37:02Z
dc.date.issued2013-01-01
dc.description.abstractThe present paper solves the multi-level capacitated lot sizing problem with backlogging (MLCLSPB) combining a genetic algorithm with the solution of mixed-integer programming models and the improvement heuristic fix and optimize. This approach is evaluated over sets of benchmark instances and compared to methods from literature. Computational results indicate competitive results applying the proposed method when compared with other literature approaches.en
dc.description.affiliationUniv Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Dept Math & Comp, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Math & Comp, Sao Paulo, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2010/10133-0
dc.description.sponsorshipIdFAPESP: 2011/15534-5
dc.description.sponsorshipIdFAPESP: 2012/00997-2
dc.format.extent1483-1490
dc.identifier.citation2013 Ieee Congress On Evolutionary Computation (cec). New York: Ieee, p. 1483-1490, 2013.
dc.identifier.urihttp://hdl.handle.net/11449/194769
dc.identifier.wosWOS:000326235301062
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2013 Ieee Congress On Evolutionary Computation (cec)
dc.sourceWeb of Science
dc.subjectlot-sizing
dc.subjectmulti-level
dc.subjecthybrid metaheuristic
dc.subjectgenetic algorithm
dc.titleGenetic Algorithm, MIP and Improvement Heuristic Applied to the MLCLP with Backloggingen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dspace.entity.typePublication
unesp.author.orcid0000-0002-0490-5515[4]

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