Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation (Appendix) A Details of the considered distributions

In this paper, we consider various distributions for the node coordinates in VRPs, followed which we randomly generate instances for both training and testing. Below we present details on how to generate those instances. It considers uniformly distributed nodes. An exemplary instance is displayed in Figure 1(i). It considers a mixture of the two distributions above, each with half of the nodes.