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Robust branch-and-cut-and-price for the capacitated vehicle routing problem (2003)

Abstract
Abstract. The best exact algorithms for the Capacitated Vehicle Routing Problem (CVRP) have been based on either branch-and-cut or Lagrangean relaxation/column generation. This paper presents an algorithm that combines both approaches: it works over the intersection of two polytopes, one associated with a traditional Lagrangean relaxation over q-routes, the other defined by bound, degree and capacity constraints. This is equivalent to a linear program with exponentially many variables and constraints that can lead to lower bounds that are superior to those given by previous methods. The resulting branch-andcut-and-price algorithm can solve to optimality all instances from the literature with up to 135 vertices. This doubles the size of the instances that can be consistently solved. 1

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.394
Quelle http://www.cs.princeton.edu/~rwerneck/docs/FLPRUW04.pdf
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Typ text
Sprache Englisch
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