Abstract
In this work, we study the performance of the mixed-integer nonlinear programming solver extended cutting plane (ECP) for solving simulation-based optimization problems. This solver, unlike other commercial derivative-based solvers such as the ones based on the branch and bound or outer approximation algorithms, does not require solving a nonlinear programming problem in each major iteration. This is an important feature of the ECP solver, since solving simulation-based nonlinear programming problems is a complex task due to the absence of accurate derivatives. The approach has been applied in the economic optimization of a rigorous tray-by-tray distillation column.
Original language | Undefined/Unknown |
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Title of host publication | 28th European Symposium on Computer Aided Process Engineering |
Editors | Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek |
Publisher | Elsevier |
Pages | 463–469 |
Number of pages | 7 |
ISBN (Print) | 978-0-444-64235-6 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A4 Article in a conference publication |
Event | European Symposium on Computer Aided Process Engineering - 28th European Symposium on Computer Aided Process Engineering (ESCAPE 28) Duration: 10 Jun 2018 → 13 Jun 2018 |
Conference
Conference | European Symposium on Computer Aided Process Engineering |
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Period | 10/06/18 → 13/06/18 |
Keywords
- Aspen Hysys
- MINLP
- Simulation-based optimization
- extended cutting plane