Robust optimization provides a mathematical framework for modeling and solving decision-
making problems under worst-case uncertainty. This work addresses two-stage robust …

Bilevel optimization deals with nested problems in which a leader takes the first decision to
minimize their objective function while accounting for a follower's best-response reaction …

Two-stage stochastic programming is a popular framework for optimization under
uncertainty, where decision variables are split between first-stage decisions, and second …

Besides training, mathematical optimization is also used in deep learning to model and
solve formulations over trained neural networks for purposes such as verification …

Concentrating Solar Power Tower (CSPT) plants rely on heliostat fields to focus sunlight
onto a central receiver. Although simple aiming strategies, such as directing all heliostats to …

This paper addresses the urgent need for a standardized driving cycle for bicycles,
analogous to those used for motorized vehicles, to facilitate the comparison of energy …

When solving a job scheduling problem that involves humans, the times in which they are
available must be taken into account. For practical acceptance of a scheduling tool, it is …