Process Synthesis under Uncertainity via Multi-parametric Programming Academic Article

abstract

• 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.

authors

• Pistikopoulos, Stratos

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

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

Digital Object Identifier (DOI)

• 10.1016/s1570-7946(10)28188-9

start page

• 1123

end page

• 1128

volume

• 28

issue

• C

URL

• http://dx.doi.org/10.1016/s1570-7946(10)28188-9