An improved branch-cut-and-price algorithm for the two-echelon capacitated vehicle routing problem
MARQUES, Guillaume
Laboratoire de l'intégration, du matériau au système [IMS]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Leer más >
Laboratoire de l'intégration, du matériau au système [IMS]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
MARQUES, Guillaume
Laboratoire de l'intégration, du matériau au système [IMS]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
< Leer menos
Laboratoire de l'intégration, du matériau au système [IMS]
Reformulations based algorithms for Combinatorial Optimization [Realopt]
Idioma
en
Article de revue
Este ítem está publicado en
Computers and Operations Research. 2020, vol. 114, p. 104833
Elsevier
Resumen en inglés
In the paper, we propose a branch-cut-and-price algorithm for the two-echelon capacitated vehicle routing problem in which delivery of products from a depot to customers is performed using intermediate depots called ...Leer más >
In the paper, we propose a branch-cut-and-price algorithm for the two-echelon capacitated vehicle routing problem in which delivery of products from a depot to customers is performed using intermediate depots called satellites. Our algorithm incorporates significant improvements recently proposed in the literature for the standard capacitated vehicle routing problem such as bucket graph based labeling algorithm for the pricing problem, automatic stabilization, limited memory rank-1 cuts, and strong branching. In addition, we make some specific problem contributions. First, we introduce a new route based formulation for the problem which does not use variables to determine product flows in satellites. Second, we introduce a new branching strategy which significantly decreases the size of the branch-and-bound tree. Third, we introduce a new family of satellite supply inequalities, and we empirically show that it improves the quality of the dual bound at the root node of the branch-and-bound tree. Finally, extensive numerical experiments reveal that our algorithm can solve to optimality all literature instances with up to 200 customers and 10 satellites for the first time and thus double the size of instances which could be solved to optimality.< Leer menos
Orígen
Importado de HalCentros de investigación