Title: Online Stochastic Optimization of the Scheduling of a Radiotherapy Center

Abstract: We propose an online stochastic framework (based on Benders and Dantzig-Wolfe decompositions) and illustrate this method on the scheduling of a Radiotherapy Center. Radiotherapy centers can improve their efficiency by optimizing the utilization of the linear accelerators. We schedule patients on such machines taking into account their priority, their maximum waiting time, and the preparation of their treatment (dosimetry). This approach ensures the beginning of the treatment on time and thus avoids the cancellation of treatment sessions.

Bio: Antoine Legrain has a Bachelor of Engineering and a Ph.D. from Polytechnique Montreal. He is currently working as a Postdoctoral fellow under the supervision of Professor Pascal Van Hentenryck on the RITMO project. His thesis tackles online stochastic resource allocation problems.