The XL Instances and the CVRPLib Best Known Solution Challenge

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Authors: Eduardo Queiroga, Rafael Martinelli, Anand Subramanian, Eduardo Uchoa, Thibaut Vidal
Cited by: 0

Abstract

This paper introduces the XL set, a new collection of large-scale benchmark instances for the capacitated vehicle routing problem (CVRP). The set extends previous benchmarks by covering instances with 1,000 to 10,000 customers and a wide range of structural characteristics, following established generation principles from prior CVRP studies. To provide strong reference solutions, we conducted an extensive computational study with several state-of-the-art algorithms and retained the best solutions obtained as the starting point for a community-driven BKS challenge hosted on the CVRPLib website. The XL instances are publicly available to support the experimental evaluation and comparison of future solution methods. The post-competition results demonstrate the impact of the challenge: over 30 days, participating teams submitted 1,932 BKS improvements, substantially refining the initial solution set and highlighting promising research directions for solving large-scale CVRPs, notably through LLM-assisted algorithm discovery.

Fields of Study & Subjects

Vehicle Routing Optimization Methods Metaheuristic Optimization Algorithms Research Urban and Freight Transport Logistics

Publication details

Journal / source
arXiv (Cornell University)
Publication date
16 January 2026
Document type
Preprint