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Optimization techniques for process synthesis and material design under uncertainty

Dua, V; Pistikopoulos, EN; (1998) Optimization techniques for process synthesis and material design under uncertainty. Chemical Engineering Research and Design , 76 (3) pp. 408-416. 10.1205/026387698524839.

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Abstract

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.

Type: Article
Title: Optimization techniques for process synthesis and material design under uncertainty
DOI: 10.1205/026387698524839
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: http://discovery.ucl.ac.uk/id/eprint/1537002
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