Performance characterization of reinforcement learning-enabled evolutionary algorithms for integrated school bus routing and scheduling problem

Bi-objective school bus scheduling optimization problem that is a subset of vehicle fleet scheduling problem is focused in this paper. In the literature, school bus routing and scheduling problem is proven to be an NP-Hard problem. The processed data supplied by our framework is utilized to search a near-optimum schedule with the aid of reinforcement learning by evolutionary algorithms. They are named as reinforcement learning-enabled genetic...