Optimization techniques for process synthesis and material design under uncertainty

This paper describes developments in parametric mixed integer optimization for the solution of process synthesis and material design problems in the presence of uncertainty. For mixed integer linear models (MILP), such as the ones that arise in material design problems, a multiparametric MILP approach is described and illustrated with an example, whereas for mixed integer nonlinear convex models (MINLP), a parametric MINLP algorithm is presented and applied to a process synthesis example problem.