HMS : a hybrid multi-start algorithm for solving binary linear programs.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorRezende, Josiane da Costa Vieira-
Autor(es): dc.creatorSouza, Marcone Jamilson Freitas-
Autor(es): dc.creatorCoelho, Vitor Nazário-
Autor(es): dc.creatorMartins, Alexandre Xavier-
Data de aceite: dc.date.accessioned2025-08-21T15:24:39Z-
Data de disponibilização: dc.date.available2025-08-21T15:24:39Z-
Data de envio: dc.date.issued2019-05-28-
Data de envio: dc.date.issued2019-05-28-
Data de envio: dc.date.issued2018-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/11352-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S1571065318300489-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.endm.2018.03.002-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1013693-
Descrição: dc.descriptionThis work presents a hybrid multi-start algorithm for solving generic binary linear programs. This algorithm, called HMS, is based on a Multi-Start Metaheuristic and combines exact and heuristic strategies to address the problem. The initial solutions are generated by a strategy that applies linear programming and constraint propagation for defining an optimized set of fixed variables. In order to refine them, a local search, guided by a Variable Neighborhood Descent heuristic, is called, which, in turn, uses Local Branching cuts. The algorithm was tested in a set of binary LPs from the MIPLIB 2010 library and the results pointed out its competitive performance, resulting in a promising matheuristic.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectVariable neighborhood descent-
Palavras-chave: dc.subjectHeuristic-
Palavras-chave: dc.subjectLocal branching-
Palavras-chave: dc.subjectBinary problems-
Palavras-chave: dc.subjectConstraint propagation-
Título: dc.titleHMS : a hybrid multi-start algorithm for solving binary linear programs.-
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