Learning Constraints-Based adaptive hypergraph neural networks for solving vehicle routing problems.

The application of learning-based methods, particularly neural network based methods, to Vehicle Routing Problems (VRP) has emerged as a pivotal area of research within combinatorial optimization. VRPs are characterized by expansive solution spaces and complex constraints, often compounded by uncert