A Tight $(1.5+\epsilon)$-Approximation for Unsplittable Capacitated Vehicle Routing on Trees

TL;DR

This paper presents a polynomial time algorithm achieving a (1.5+ε)-approximation for the unsplittable capacitated vehicle routing problem on trees with arbitrary demands, improving over the long-standing 2-approximation.

Contribution

It introduces the first polynomial time (1.5+ε)-approximation algorithm for UCVRP on trees with arbitrary demands, surpassing the previous 2-approximation barrier.

Findings

Achieves a (1.5+ε)-approximation ratio for UCVRP on trees.

Proves that better than 1.5 approximation is NP-hard.

First improvement over the 30-year-old 2-approximation algorithm.

Abstract

In the unsplittable capacitated vehicle routing problem (UCVRP) on trees, we are given a rooted tree with edge weights and a subset of vertices of the tree called terminals. Each terminal is associated with a positive demand between 0 and 1. The goal is to find a minimum length collection of tours starting and ending at the root of the tree such that the demand of each terminal is covered by a single tour (i.e., the demand cannot be split), and the total demand of the terminals in each tour does not exceed the capacity of 1. For the special case when all terminals have equal demands, a long line of research culminated in a quasi-polynomial time approximation scheme [Jayaprakash and Salavatipour, SODA 2022] and a polynomial time approximation scheme [Mathieu and Zhou, ICALP 2022]. In this work, we study the general case when the terminals have arbitrary demands. Our main contribution is a polynomial time $(1.5+\epsilon)$-approximation algorithm for the UCVRP on trees. This is the first improvement upon the 2-approximation algorithm more than 30 years ago [Labb\'e, Laporte, and Mercure, Operations Research, 1991]. Our approximation ratio is essentially best possible, since it is NP-hard to approximate the UCVRP on trees to better than a 1.5 factor.