The Vehicle Routing Problem with Backhauls is an extension of the capa
citated Vehicle Routing Problem where the customers' set is partitione
d into two subsets. The first is the set of Linehaul, or Delivery, cus
tomers, while the second is the set of Backhaul, or Pickup, customers.
The problem is known to be NP-hard in the strong sense and finds many
practical applications in distribution planning. In this paper we con
sider, in a unified framework both the symmetric and the asymmetric ve
rsions of the vehicle routing problem with backhauls, for which we int
eger linear programming model and a Lagrangian lower bound which is st
rengthened in a cutting plane fashion. The Lagrangian lower bound is t
hen combined according to the additive approach, with a lower bound ob
tained by dropping the capacity, constraints, thus obtaining an. effec
tive overall bounding procedure. A branch-and-bound algorithm, reducti
on procedures and dominance criteria are also described. Computational
tests on symmetric and asymmetric instances from the literature, invo
lving up to 100 customers, are given, showing the effectiveness of the
proposed approach.