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

Sanchez Medina, E. I., Rodriguez Vallejo, D., Chachuat, B., Sundmacher, K., Petsagkourakis, P., & del Rio Chanona, E. A. (2021). Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression. Poster presented at 31st European Symposium on Computer-Aided Process Engineering (ESCAPE-31), Istanbul, Turkey.

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 Creators:
Sanchez Medina, Edgar Ivan1, 2, Author           
Rodriguez Vallejo, Daniel3, Author
Chachuat, Benoit 3, Author
Sundmacher, Kai2, 4, Author           
Petsagkourakis, Panagiotis 5, Author
del Rio Chanona, Ehecatl A. 5, 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              
3Imperial College London, ou_persistent22              
4Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
5Sargent Centre for Process Systems Engineering, University College London, ou_persistent22              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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

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