Stochastic Tabu Search and Improvements - Application for Physician Scheduling

Explore a 55-minute talk on stochastic tabu search and its improvements, with a focus on physician scheduling in radiotherapy. Delve into the application of tabu search in stochastic environments, addressing uncertainties in patient arrivals, profiles, and cancer types. Discover two innovative approaches to enhance method efficiency: hyperparameter tuning using blackbox optimization and Mesh Adaptive Direct Search (MADS), and a learning algorithm that employs classification methods to optimize the search space. Gain insights into solving complex combinatorial optimization problems in healthcare settings, specifically aimed at improving patient flow and reducing pretreatment duration through weekly cyclic scheduling.