In multi-parametric programming, an optimization problem is solved for a range and as a
function of multiple parameters. In this review, we discuss the main developments of multi …

This paper provides an overview of the key contributions within the planning and scheduling
communities with specific emphasis on uncertainty analysis. As opposed to focusing in one …

In this paper, we present recent developments in multiparametric nonlinear programming.
For the case of convex problems, we highlight key issues regarding the full characterization …

Morphing structures can allow significant improvements in performance by optimally
changing shape across varying conditions. A critical barrier to the design of morphing …

In this paper, we present a strategy for the exact solution of multiparametric quadratically
constrained quadratic programs (mpQCQPs). Specifically, we focus on multiparametric …

In this paper, a general algorithm is developed to address the multiparametric mixed-integer
linear programming (mpMILP) problem with uncertain parameters in the left-hand side …

Major application areas of the process systems engineering, such as hybrid control,
scheduling and synthesis can be formulated as mixed integer linear programming (MILP) …

In this article, the problem of process scheduling under uncertainty was studied using
multiparametric programming method. Based on the uncertainty type (prices, demands, and …

This paper deals with the global solution of the general multi-parametric mixed integer linear
programming problem with uncertainty in the entries of the constraint matrix, the right-hand …

This paper presents an overview of recent theoretical and algorithmic advances, and
applications in the areas of multi-parametric programming and explicit/multi-parametric …