A hybrid heuristic approach to solve the multi level capacitated lot sizing problem

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorDept. of Computer Science-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorToledo, Claudio Fabiano Motta-
Autor(es): dc.creatorDe Oliveira, Renato Resende Ribeiro-
Autor(es): dc.creatorFranca, Paulo Morelato [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:02:31Z-
Data de disponibilização: dc.date.available2022-08-04T22:02:31Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2011-08-29-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/CEC.2011.5949752-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/219699-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/219699-
Descrição: dc.descriptionThis paper presents preliminary results found by a hybrid heuristic applied to solve the Multi-Level Capacitated Lot Sizing Problem (MLCLSP). The proposed method combines a multi-population genetic algorithm and fix-and-optimize heuristic. These methods are also integrated to a mathematical programming approach. For this, a mathematical reformulation of MLCLSP model is proposed to embed the exact solution of the model in the heuristic approaches. The hybrid heuristic is evaluated in two sets of benchmark instances. The solutions found are compared with those reached by other methods from literature. The preliminary results obtained indicate that the hybrid heuristic outperforms other approaches in the majority of problems solved. © 2011 IEEE.-
Descrição: dc.descriptionUniversity of São Paulo Institute of Mathematics and Computer Science-
Descrição: dc.descriptionFederal University of Lavras Dept. of Computer Science-
Descrição: dc.descriptionUNESP - Dept. of Mathematics Statistics and Computation-
Descrição: dc.descriptionUNESP - Dept. of Mathematics Statistics and Computation-
Formato: dc.format1194-1201-
Idioma: dc.languageen-
Relação: dc.relation2011 IEEE Congress of Evolutionary Computation, CEC 2011-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectGenetic algorithms-
Palavras-chave: dc.subjectHeuristic algorithms-
Palavras-chave: dc.subjectLot sizing-
Palavras-chave: dc.subjectOptimization-
Palavras-chave: dc.subjectProduction planning-
Título: dc.titleA hybrid heuristic approach to solve the multi level capacitated lot sizing problem-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.