Você está no menu de acessibilidade

Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/76310
Registro de metadados completo
Campo DCValorIdioma
dc.contributor.authorToledo, Claudio F. M.-
dc.contributor.authorHossomi, Marcelo Y. B.-
dc.contributor.authorDa Silva Arantes, Márcio-
dc.contributor.authorFranca, Paulo Morelato-
dc.date.accessioned2014-05-27T11:30:11Z-
dc.date.accessioned2016-10-25T18:52:45Z-
dc.date.available2014-05-27T11:30:11Z-
dc.date.available2016-10-25T18:52:45Z-
dc.date.issued2013-08-21-
dc.identifierhttp://dx.doi.org/10.1109/CEC.2013.6557738-
dc.identifier.citation2013 IEEE Congress on Evolutionary Computation, CEC 2013, p. 1483-1490.-
dc.identifier.urihttp://hdl.handle.net/11449/76310-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/76310-
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. © 2013 IEEE.en
dc.format.extent1483-1490-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectgenetic algorithm-
dc.subjecthybrid metaheuristic-
dc.subjectlot-sizing-
dc.subjectmulti-level-
dc.subjectCapacitated lot sizing problem-
dc.subjectComputational results-
dc.subjectHybrid Meta-heuristic-
dc.subjectLot sizing-
dc.subjectMixed-Integer Programming-
dc.subjectBenchmarking-
dc.subjectHeuristic methods-
dc.subjectInteger programming-
dc.subjectGenetic algorithms-
dc.titleGenetic algorithm, MIP and improvement heuristic applied to the MLCLP with backloggingen
dc.typeoutro-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationInstitute of Mathematics and Computer Science University of São Paulo, São Carlos-
dc.description.affiliationUNESP Dept. of Mathematics and Computing-
dc.description.affiliationUnespUNESP Dept. of Mathematics and Computing-
dc.identifier.doi10.1109/CEC.2013.6557738-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2013 IEEE Congress on Evolutionary Computation, CEC 2013-
dc.identifier.scopus2-s2.0-84881575854-
Aparece nas coleções:Artigos, TCCs, Teses e Dissertações da Unesp

Não há nenhum arquivo associado com este item.
Mostrar item simples Mostrar item completo   Ver Estatísticas
 

Itens do Acervo digital da UNESP são protegidos por direitos autorais reservados a menos que seja expresso o contrário.