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Robust Branch-and-Cut-and-Price for the Capacitated Vehicle Routing Problem (2003)

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-and-cut-and-price algorithm can solve to optimality almost all instances from the literature with up to 100 vertices, nearly doubling the size of instances that can be consistently solved.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.4.5148
Quelle http://www.inf.puc-rio.br/~uchoa/doc/cvrp-uchoa.pdf
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Typ text
Sprache Englisch
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