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dc.contributor.authorLitvinchev, Igor-
dc.contributor.authorMata, Miguel-
dc.contributor.authorRangel, Socorro-
dc.contributor.authorSaucedo, Jania-
dc.date.accessioned2014-05-20T15:30:47Z-
dc.date.accessioned2016-10-25T18:06:25Z-
dc.date.available2014-05-20T15:30:47Z-
dc.date.available2016-10-25T18:06:25Z-
dc.date.issued2010-08-01-
dc.identifierhttp://dx.doi.org/10.1016/j.camwa.2010.03.070-
dc.identifier.citationComputers & Mathematics With Applications. Oxford: Pergamon-Elsevier B.V. Ltd, v. 60, n. 4, p. 1115-1123, 2010.-
dc.identifier.issn0898-1221-
dc.identifier.urihttp://hdl.handle.net/11449/40099-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/40099-
dc.description.abstractA Lagrangian based heuristic is proposed for many-to-many assignment problems taking into account capacity limits for task and agents. A modified Lagrangian bound studied earlier by the authors is presented and a greedy heuristic is then applied to get a feasible Lagrangian-based solution. The latter is also used to speed up the subgradient scheme to solve the modified Lagrangian dual problem. A numerical study is presented to demonstrate the efficiency of the proposed approach. (C) 2010 Elsevier Ltd. All rights reserved.en
dc.format.extent1115-1123-
dc.language.isoeng-
dc.publisherPergamon-Elsevier B.V. Ltd-
dc.sourceWeb of Science-
dc.subjectLagrangian heuristicen
dc.subjectInteger programmingen
dc.subjectMany-to-many assignment problemen
dc.titleLagrangian heuristic for a class of the generalized assignment problemsen
dc.typeoutro-
dc.contributor.institutionRussian Acad Sci-
dc.contributor.institutionUANL Nuevo Leon State Univ-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationRussian Acad Sci, Dorodnicyn Comp Ctr, Moscow, Russia-
dc.description.affiliationUANL Nuevo Leon State Univ, Fac Mech & Elect Engn, Nuevo Leon, Mexico-
dc.description.affiliationUNESP São Paulo State Univ, Dept Comp Sci & Stat, São Paulo, Brazil-
dc.description.affiliationUnespUNESP São Paulo State Univ, Dept Comp Sci & Stat, São Paulo, Brazil-
dc.identifier.doi10.1016/j.camwa.2010.03.070-
dc.identifier.wosWOS:000281175200018-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofComputers & Mathematics With Applications-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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