Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing

TL;DR

This paper introduces GNRPA, an extension of NRPA with dynamic bias, demonstrating improved performance on vehicle routing problem benchmarks, outperforming existing algorithms including Google OR-Tools in some cases.

Contribution

The paper presents GNRPA, a novel extension of NRPA with dynamic bias, tailored for vehicle routing problems, showing superior results on benchmark instances.

Findings

GNRPA outperforms NRPA on all tested instances.

GNRPA surpasses Google OR-Tools on some VRP instances.

GNRPA demonstrates effectiveness on Solomon benchmark set.

Abstract

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.