In this seminar, Bilge Atasoy from the Technical University of Delft will give a talk about Adaptive Transport and Logistics through Optimization and Learning.
Transport and Logistics Systems face various challenges of uncertainties and disruptions. In my research group, we develop methodologies integrating optimization and learning to address these challenges with adaptive decision-making capabilities. In this talk, I will start with inverse optimization methods in the context of routing problems where we also touch upon demand uncertainty. Then I will talk about a reinforcement learning method for replanning decisions which is assisted by an optimization algorithm in the context of intermodal freight transportation. I will also provide a future outlook on the development of model-based learning strategies to expand our adaptive decision-making.
