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dc.contributor.authorSubramanian, Anand-
dc.contributor.authorPenna, Puca Huachi Vaz-
dc.contributor.authorBarboza, Eduardo Uchoa-
dc.contributor.authorOchi, Luiz Satoru-
dc.date.accessioned2018-01-30T13:08:09Z-
dc.date.available2018-01-30T13:08:09Z-
dc.date.issued2012-
dc.identifier.citationSUBRAMANIAN, A. et al. A hybrid algorithm for the heterogeneous fleet vehicle routing problem. European Journal of Operational Research, v. 221, p. 285-295, 2012. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0377221712002093>. Acesso em: 16 jan. 2018.pt_BR
dc.identifier.issn0377-2217-
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/9373-
dc.description.abstractThis paper deals with the Heterogeneous Fleet Vehicle Routing Problem (HFVRP). The HFVRP generalizes the classical Capacitated Vehicle Routing Problem by considering the existence of different vehicle types, with distinct capacities and costs. The objective is to determine the best fleet composition as well as the set of routes that minimize the total costs. The proposed hybrid algorithm is composed by an Iterated Local Search (ILS) based heuristic and a Set Partitioning (SP) formulation. The SP model is solved by means of a Mixed Integer Programming solver that interactively calls the ILS heuristic during its execution. The developed algorithm was tested in benchmark instances with up to 360 customers. The results obtained are quite competitive with those found in the literature and new improved solutions are reported.pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectRoutingpt_BR
dc.subjectHeterogeneous fleetpt_BR
dc.subjectMatheuristicspt_BR
dc.subjectIterated local searchpt_BR
dc.titleA hybrid algorithm for the heterogeneous fleet vehicle routing problem.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.identifier.uri2https://www.sciencedirect.com/science/article/pii/S0377221712002093pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ejor.2012.03.016-
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