Data science and optimization are tightly intertwined. Many problems in data science can be solved using optimizers. On the other side, most optimization problems stated through classical models such as those from mathematical programming cannot be considered independent of historical data. Examples are ample: Methods aimed at high-level combinatorial optimization have been shown to strongly […]

Machine learning (ML) and data science (DS) methods have been at the forefront of multiple recent developments in Operations Research (OR). On the one hand, ML/DS methods have been harnessed for handling uncertainty and automatically creating exac and heuristic solving procedures. On the other, (discrete) optimization approaches have been used to enhance ML, especially deep […]