Robust Optimization Under Controllable Uncertainty

We call an optimization problem an \emph{optimization problem with controllable uncertainty} if a) it contains uncertain input data and b) prior to deciding the optimization variables, the optimizer can for a certain cost reduce the scenario set of this uncertain data. In particular, we are interested in situations where each uncertain parameter is a priori … Read more