Cooperative Routing

Cooperative routing focuses on optimizing the paths of multiple agents or entities to achieve a shared objective, such as minimizing overall travel time or cost, maximizing resource utilization, or improving service quality. Current research explores various approaches, including reinforcement learning (particularly multi-agent RL), heuristic algorithms, and game-theoretic models to address challenges in diverse applications like delivery networks, mobile ad hoc networks, and unmanned vehicle coordination. These advancements offer significant potential for improving efficiency and resource allocation in complex systems, impacting fields ranging from logistics and transportation to communication networks and service provision.