Guidelines for the computational testing of machine learning approaches to vehicle routing problems

Despite the extensive research efforts and the promising results obtained by the ML community on Vehicle Routing Problems, most of the proposed techniques are still seldom employed by the OR community. With the current work, we highlight a number of challenges arising during the computational evaluation of heuristics for VRPs. The resulting guidelines aim at defining a common testing setup for the approaches designed by the two communities, thus promoting and strengthening the collaboration between them.