Advances in Optimization: Global, Uncertainty, Surrogate & Mixed-Integer Models I

Process Systems Engineering has been heavily rooted in our ability to formulate models and analyze data so as to make good decisions. This session thus invites papers that contemplate advances in the theory, methods and numerical algorithms for optimal decision-making. Whereas demonstration of the contributions via examples drawn from specific application contexts are encouraged, papers should define in mathematical terms the broader problem class in which the contribution is relevant. All classes of optimization problems are considered.