Vehicle Routing

Vehicle routing focuses on optimizing delivery routes for fleets of vehicles, aiming to minimize costs and maximize efficiency while adhering to various constraints like time windows and vehicle capacities. Current research emphasizes developing robust and generalizable solutions using machine learning techniques, such as reinforcement learning, neural networks (including graph neural networks and attention models), and evolutionary algorithms like genetic algorithms, often combined with classical optimization methods like branch and bound or column generation. These advancements are crucial for improving logistics and supply chain management across diverse sectors, from last-mile delivery to airport ground handling, and contribute to the broader field of combinatorial optimization.