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arXiv — cs.AI preprintsInternational21 October 2026

VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems

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arXiv:2510.07073v2 Announce Type: replace Abstract: Designing high-performing heuristics for vehicle routing problems (VRPs) is a complex task that requires both intuition and deep domain knowledge. Large language model (LLM)-based code generation has recently shown promise across many domains, but it still falls short of producing heuristics that rival those crafted by human experts. In this paper, we propose VRPAgent, a framework for VRPs that integrates LLM-generated components into a metaheuristic and refines them through a novel genetic search. By using the LLM to generate problem-specifi
— arXiv — cs.AI preprints

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