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  Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression

Sanchez Medina, E. I., Vallejo, D. R., Chachuat, B., Sundmacher, K., Petsagkourakis, P., & del Rio-Chanona, E. (2021). Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression. In M. Türkay, & R. Gani (Eds.), 31st European Symposium on Computer Aided Process Engineering (pp. 1117-1123). Amsterdam, Netherlands: Elsevier.

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Genre: Conference Paper

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 Creators:
Sanchez Medina, Edgar Ivan1, 2, Author           
Vallejo, D. Rodriguez3, Author
Chachuat, B.3, Author
Sundmacher, Kai2, 4, Author           
Petsagkourakis, P.5, Author
del Rio-Chanona, E.A.3, Author
Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
3Centre for Process Systems Engineering, Imperial College London, Exhibition Rd., South Kensington, London, SW7 2AZ, UK, ou_persistent22              
4Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
5Centre for Process Systems Engineering, University College London, Gower St. Bloomsbury, London, WC1E 6BT, UK, ou_persistent22              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: 31st European Symposium on Computer Aided Process Engineering
Place of Event: Istanbul, Turkey/virtual
Start-/End Date: 2021-06-06 - 2021-06-09

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Title: 31st European Symposium on Computer Aided Process Engineering
Source Genre: Proceedings
 Creator(s):
Türkay, Metin, Editor
Gani, Rafiqul, Editor
Affiliations:
-
Publ. Info: Amsterdam, Netherlands : Elsevier
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1117 - 1123 Identifier: ISBN: 978-0-323-88506-5

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Title: Computer Aided Chemical Engineering
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 50 Sequence Number: - Start / End Page: - Identifier: ISSN: 1570-7946