提出LLM作训练器，为多任务车辆路径问题提供统一求解新思路
arXiv:2607.17708v1 Announce Type: new Abstract: Multi-task neural solvers aim to handle multiple Vehicle Routing Problem (VRP) variants within a unifi…
护理出租车调度遇上整数规划与机器学习，专攻轮椅适配、时间窗等复杂约束的全局最优解
arXiv:2606.29725v1 Announce Type: new Abstract: In this paper, we formulate a new vehicle dispatch optimization problem, called Nursing Care Taxi Disp…
用大语言模型自动设计启发式算法，显著提升CVRP求解器性能，AI+运筹优化新突破
arXiv:2602.23092v2 Announce Type: replace Abstract: The Capacitated Vehicle Routing Problem (CVRP), a fundamental combinatorial optimization challenge…
超越目标等价：用约束注入法让大模型精准求解车辆路径优化问题，提升建模可靠性与实用性
arXiv:2606.04816v1 Announce Type: new Abstract: Large language models (LLMs) increasingly translate natural-language optimization problems into execut…