Yuesong Wu

DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning

The Vehicle Routing Problem (VRP) is a critical combinatorial optimization problem with wide-reaching real-world applications, particularly in logistics, transportation. While neural network-based VRP solvers have shown impressive results on test instances similar to training data, their performance