Capacitated Vehicle Routing with Non-Uniform Speeds

TL;DR

This paper introduces a constant-factor approximation algorithm for the Heterogenous CVRP, a generalization of the vehicle routing problem with non-uniform vehicle speeds, using novel techniques like Level-Prim trees.

Contribution

It presents the first constant-factor approximation for Heterogenous CVRP, extending methods from TSP and scheduling to handle non-uniform vehicle speeds.

Findings

Developed a new Level-Prim MST construction.

Achieved a constant-factor approximation for Heterogenous TSP.

Extended the approach to Heterogenous CVRP with non-uniform speeds.

Abstract

The capacitated vehicle routing problem (CVRP) involves distributing (identical) items from a depot to a set of demand locations, using a single capacitated vehicle. We study a generalization of this problem to the setting of multiple vehicles having non-uniform speeds (that we call Heterogenous CVRP), and present a constant-factor approximation algorithm. The technical heart of our result lies in achieving a constant approximation to the following TSP variant (called Heterogenous TSP). Given a metric denoting distances between vertices, a depot r containing k vehicles with possibly different speeds, the goal is to find a tour for each vehicle (starting and ending at r), so that every vertex is covered in some tour and the maximum completion time is minimized. This problem is precisely Heterogenous CVRP when vehicles are uncapacitated. The presence of non-uniform speeds introduces difficulties for employing standard tour-splitting techniques. In order to get a better understanding of this technique in our context, we appeal to ideas from the 2-approximation for scheduling in parallel machine of Lenstra et al.. This motivates the introduction of a new approximate MST construction called Level-Prim, which is related to Light Approximate Shortest-path Trees. The last component of our algorithm involves partitioning the Level-Prim tree and matching the resulting parts to vehicles. This decomposition is more subtle than usual since now we need to enforce correlation between the size of the parts and their distances to the depot.