3 papers
cs.LG2025
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
Jingwen Li, Zhiguang Cao, Yaoxin Wu +1
Exploring machine learning techniques for addressing vehicle routing problems has attracted considerable research attention. To achieve decent and efficient solutions, existing dee…
cs.AI2025
Large Language Models as End-to-end Combinatorial Optimization Solvers
Xia Jiang, Yaoxin Wu, Minshuo Li +2
Combinatorial optimization (CO) problems, central to decision-making scenarios like logistics and manufacturing, are traditionally solved using problem-specific algorithms requirin…
cs.LG2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Yaoxin Wu +3
Recent neural heuristics for the Vehicle Routing Problem (VRP) primarily rely on node coordinates as input, which may be less effective in practical scenarios where real cost metri…