On the exact solution of vehicle routing problems with backhauls

Eduardo Queiroga (1) , Yuri Y. Frota (1) , Ruslan Sadykov (2) , Anand Subramanian (3) , Eduardo Uchoa (4) , Thibaut Vidal (5)

1 IC-UFF - Instituto de Computação [Niteroi-Rio de Janeiro]
2 Realopt - Reformulations based algorithms for Combinatorial Optimization
3 UFPB - Universidade Federal da Paraiba / Federal University of Paraiba
4 UFF - Universidade Federal Fluminense [Rio de Janeiro]
5 PUC-Rio - Departamento de Informática = Department of Informatics

In this paper, we are interested in the exact solution of the vehicle routing problem with back-hauls (VRPB), a classical vehicle routing variant with two types of customers: linehaul (delivery) and backhaul (pickup) ones. We propose two branch-cut-and-price (BCP) algorithms for the VRPB. The first of them follows the traditional approach with one pricing subproblem, whereas the second one exploits the linehaul/backhaul customer partitioning and defines two pricing sub-problems. The methods incorporate elements of state-of-the-art BCP algorithms, such as rounded capacity cuts, limited-memory rank-1 cuts, strong branching, route enumeration, arc elimination using reduced costs and dual stabilization. Computational experiments show that the proposed algorithms are capable of obtaining optimal solutions for all existing benchmark instances with up to 200 customers, many of them for the first time. It is observed that the approach involving two pricing subproblems is more efficient computationally than the traditional one. Moreover, new instances are also proposed for which we provide tight bounds. Also, we provide results for benchmark instances of the heterogeneous fixed fleet VRPB and the VRPB with time windows.

Mots clés: Routing; Backhauls; Branch-cut-and-price; Integer programming

Domaines: Recherche opérationnelle [math.OC]

Eduardo Queiroga, Yuri Y. Frota, Ruslan Sadykov, Anand Subramanian, Eduardo Uchoa, et al.. On the exact solution of vehicle routing problems with backhauls. European Journal of Operational Research, 2020, 287 (1), pp.76-89. ⟨10.1016/j.ejor.2020.04.047⟩. ⟨hal-02379008⟩