Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing
This is an incremental improvement for solving vehicle routing problems, potentially benefiting logistics and operations research.
The authors tackled the Vehicle Routing Problem by extending the Nested Rollout Policy Adaptation algorithm to Generalized Nested Rollout Policy Adaptation, showing it outperforms the original on all Solomon benchmark instances and sometimes beats Google OR Tools.
In this paper we present an extension of the Nested Rollout Policy Adaptation algorithm (NRPA), namely the Generalized Nested Rollout Policy Adaptation (GNRPA), as well as its use for solving some instances of the Vehicle Routing Problem. We detail some results obtained on the Solomon instances set which is a conventional benchmark for the Vehicle Routing Problem (VRP). We show that on all instances, GNRPA performs better than NRPA. On some instances, it performs better than the Google OR Tool module dedicated to VRP.