Capacitated Vehicle Routing Problem

The Capacitated Vehicle Routing Problem (CVRP) seeks to optimize delivery routes for vehicles with limited capacity, minimizing total travel distance while satisfying all customer demands. Current research emphasizes the application of machine learning, particularly reinforcement learning and deep learning models like transformers and graph neural networks, to develop efficient heuristics and improve solution quality compared to traditional optimization methods. These advancements are significant for various industries, including logistics and supply chain management, offering the potential for substantial cost savings and improved operational efficiency through faster and better route planning. Furthermore, research explores integrating multimodal data and adapting models to handle diverse problem instances and constraints.