Process synthesis under uncertainty via multi-parametric programming
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AbstractIn 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.
CitationDomínguez, L. F., & Pistikopoulos, E. N. (2010). Process Synthesis under Uncertainity via Multi-parametric Programming. 20th European Symposium on Computer Aided Process Engineering, 1123–1128. doi:10.1016/s1570-7946(10)28188-9
SponsorsFinancial support from the Mexican Council for Science and Technology (CONACyT), European Union (PROMATCH Marie Curie MRTN-CT-2004-512441), European Research Council (MOBILE, ERC Advanced Grant, No: 226462), KAUST and the CPSE Industrial Consortium is gratefully acknowledged.