Learning Constraints-Based adaptive hypergraph neural networks for solving vehicle routing problems.
This study introduces an end-to-end framework that integrates constraint-oriented hypergraph neural networks with reinforcement learning to address these challenges in vehicle routing problems and achieves state-of-the-art solution quality.
Zhenwei Wang, Tiehua Zhang, Jing Liu et al.
· Neural Networks · 3 citations