Inthis paper,weconsider various distributions forthenode coordinates inVRPs, followed which we randomly generate instances for both training and testing. Below we present details on how to generate those instances. Uniform distribution.Itconsiders uniformly distributed nodes. It considers multiple (nc) clusters, where we setnc = 3. Then, instead ofgathering allnodes towards the centroid inImplosion distribution, itmovesawaythose nodes from the circle (radiusRec =0.3) and explode them outside the circle, which follow the direction vector between the centroidϵe and the corresponding nodes.

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.