Simulation-Based Optimization of Chemical Processes Using the Extended Cutting Plane Algorithm
| Autor: | José A. Caballero, Jan Kronqvist, Juan Javaloyes-Antón |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Optimization problem Branch and bound Computer science Approximation algorithm 02 engineering and technology Solver 021001 nanoscience & nanotechnology Nonlinear programming Simulation-based optimization 020401 chemical engineering Fractionating column 0204 chemical engineering 0210 nano-technology Cutting-plane method |
| DOI: | 10.1016/b978-0-444-64235-6.50083-8 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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