Prelegent: Professor Vincent T’kindt (University of Tours, Tours, France)
Data i godzina: 17 listopada 2026 r., g. 10:30
Sala: B1-7/8
Abstract: The seminar is about the journey of a researcher in Scheduling Theory/Operations Research (OR) into the world of Machine Learning (ML). After a brief presentation on how ML and OR can be coupled, we will focus on two possible uses of ML to improve the efficiency of OR algorithms to solve scheduling problems. Firstly, we will consider the automatic learning of algorithm parameters and show how Bayesian optimization can be used. Secondly, we will present some successful works on how to integrate deep learning into a matheuristic to drive the exploration of the search space when solving a scheduling problem.