Siti Hadiaty Yuningsih

Application of Reinforcement Learning for Optimizing the Capacitated Vehicle Routing Problem

These findings demonstrate that reinforcement learning is a promising and scalable alternative to conventional heuristic and metaheuristic approaches for capacitated routing problems, particularly in dynamic logistics environments that require rapid and adaptive decision making.