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• W2185878633 abstract "Thegeneralized vehicle routing problem(GVRP) involves finding a minimumlength set of vehicle routes passing through a set of clusters, where each cluster contains a number of vertices, such that the tour includes exactly one vertex from each cluster and satisfies capacity constraints. We consider a version of the GVRP where the number of vehicles is a decision variable. This paper introduces a new mathematical formulation based on a two-commodity flow model. We solve the problem using a branch-and-cut algorithm and a metaheuristic that is a hybrid of thegreedy randomized adaptive search procedure(GRASP) and theevolutionary local search(ELS) proposed in [18]. We perform computational experiments on instances from the literature to demonstrate the performance of our algorithms." @default.
• W2185878633 created "2016-06-24" @default.
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• W2185878633 date "2012-01-01" @default.
• W2185878633 modified "2023-09-26" @default.
• W2185878633 title "An exact algorithm and a metaheuristic for the generalized vehicle routing problem" @default.
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