Leveraging Pre-trained Transformer Models to Efficiently Solve Complex Vehicle Routing Problems

The authors propose a cross-problem learning method to leverage pre-trained Transformer models for the Traveling Salesman Problem (TSP) to efficiently train neural heuristics for solving other complex Vehicle Routing Problems (VRPs).