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

Zhou, Teng; Zhou, Yageng; Sundmacher, Kai

doi:10.1016/j.ces.2016.03.011

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

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Zhou, Teng
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher, Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-8BE1-0

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