Adaptive and Integrated Resource Allocation

This project envisions a new era in which optimization systems will not only allocate resources optimally: they will react and adapt to external events effectively under time constraints, anticipating the future and learning from the past to produce more robust and effective solutions. These systems will deal simultaneously with planning, scheduling, and control, complementing a priori optimization with integrated online decision making. To meet these challenges, the project takes a multi-disciplinary view of optimization, seeking fundamental advances in optimization for robust decision making, as well as tight integrations with machine learning, data mining, and simulation, in order to predict the future dynamically.'