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  A hybrid stochastic-deterministic optimization approach for integrated solvent and process design

Zhou, T., Zhou, Y., & Sundmacher, K. (2017). A hybrid stochastic-deterministic optimization approach for integrated solvent and process design. Chemical Engineering Science, 159, 207-2016. doi:10.1016/j.ces.2016.03.011.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-8BE1-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-4F4D-0
Genre: Journal Article

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zhou_2175262_Revised Manuscript.pdf (Postprint), 172KB
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 Creators:
Zhou, Teng1, 2, Author              
Zhou, Yageng3, Author
Sundmacher, Kai1, 3, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Dates: 2017
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.ces.2016.03.011
Other: pubdata_escidoc:2289947
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Title: Chemical Engineering Science
Source Genre: Journal
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Pages: - Volume / Issue: 159 Sequence Number: - Start / End Page: 207 - 2016 Identifier: -