Process Synthesis under Uncertainity via Multi-parametric Programming Academic Article uri icon


  • In this work we propose a multi-parametric mixed-integer quadratic-approximation algorithm for the solution of convex multi-parametric mixed-integer nonlinear programming problems arising in process synthesis under uncertainty. The algorithm follows a decomposition procedure where a primal sub-problem is solved using multiparametric nonlinear programming techniques and a master sub-problem is solved using a mixed-inter-nonlinear programming formulation. An example problem is presented to illustrate the proposed algorithm. 2010 Elsevier B.V. All rights reserved.

published proceedings

  • Computer Aided Chemical Engineering

author list (cited authors)

  • Domnguez, L. F., & Pistikopoulos, E. N.

citation count

  • 2

complete list of authors

  • Domínguez, Luis F||Pistikopoulos, Efstratios N

publication date

  • January 2010