Explore a 51-minute seminar from GERAD Research Center on enhancing simulation-based optimization algorithms through mixed integer linear programming, focusing on autonomous ridesharing. Delve into the research of Claudia Bongiovanni from HEC Montréal as she presents innovative approaches to improve computational efficiency in large-scale discrete optimization problems. Learn about dynamic partitioning of search spaces, problem-specific partitioning rules, and their application to complex stochastic dynamics in urban mobility. Discover how this methodology addresses unpredictable environmental changes affecting service level costs in ridesharing systems. Gain insights into the Dial-a-Ride Problem, event-based simulation, and preliminary results of this novel approach combining simulation-based optimization with mixed integer linear programming techniques.