Surrogate Modeling for Superstructure Optimization with Generalized Disjunctive Programming

In this work, we propose an iterative framework to solve superstructure design problems, which includes surrogate models, with a custom implementation of the Logic-based Outer- Approximation algorithm (L-bOA). We build surrogate models (SM) using the machine learning software ALAMO exploiting its ca...

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Veröffentlicht in:	Computer Aided Chemical Engineering Jg. 49; S. 1267 - 1272
Hauptverfasser:	Pedrozo, H.A., Reartes, S.B. Rodriguez, Vecchietti, A.R., Diaz, M.S., Grossmann, I.E.
Format:	Buchkapitel
Sprache:	Englisch
Veröffentlicht:	2022
Schlagworte:	derivative free optimization disjunctive programming superstructure optimization surrogate models disjunctive programming superstructure optimization derivative free optimization surrogate models
ISBN:	9780323851596, 0323851592
ISSN:	1570-7946
Online-Zugang:	Volltext
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