A Tight 4/3 Approximation for Capacitated Vehicle Routing in Trees
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Given a set of clients with demands, the Capacitated Vehicle Routing problem is to find a set of tours that collectively cover all client demand, such that the capacity of each vehicle is not exceeded and such that the sum of the tour lengths is minimized. In this paper, we provide a 4/3-approximation algorithm for Capacitated Vehicle Routing on trees, improving over the previous best-known approximation ratio of $(\sqrt{41}-1)/4$ by Asano et al., while using the same lower bound. Asano et al. show that there exist instances whose optimal cost is 4/3 times this lower bound. Notably, our 4/3 approximation ratio is therefore tight for this lower bound, achieving the best-possible performance.
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Approximation Algorithms for Capacitated Vehicle Routing Problems: A Comprehensive Survey
A survey of approximation algorithms for CVRP covering the ITP framework, PTAS/QPTAS for Euclidean spaces, algorithms for trees/planar graphs, best known ratios, and open problems.
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