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Using Surrogate Models for Efficient Optimization of Simulated Moving Bed Chromatography

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Li,  Suzhou
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Feng,  Lihong
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
TU Chemnitz;

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Seidel-Morgenstern,  Andreas
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Li, S., Feng, L., Benner, P., & Seidel-Morgenstern, A. (2014). Using Surrogate Models for Efficient Optimization of Simulated Moving Bed Chromatography. Computers and Chemical Engineering, 67, 121-132. doi:10.1016/j.compchemeng.2014.03.024.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0019-9341-3
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