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Interactive Multi‐objective Dynamic Optimization of Bioreactors under Parametric Uncertainty
Model‐based optimization techniques play a key role in achieving a sustainable operation of biochemical processes. Models are an approximation of the real process under study, hence, uncertainty is inherently present and for a sustainable process operation this uncertainty should be accounted for. In practice, optimality with respect to different conflicting objectives is required and multi‐objective optimization is a valuable tool. In this article the sigma point approach is applied to account for parametric uncertainty in the frame of interactive multi‐objective bioprocess optimization.
Interactive Multi‐objective Dynamic Optimization of Bioreactors under Parametric Uncertainty
Model‐based optimization techniques play a key role in achieving a sustainable operation of biochemical processes. Models are an approximation of the real process under study, hence, uncertainty is inherently present and for a sustainable process operation this uncertainty should be accounted for. In practice, optimality with respect to different conflicting objectives is required and multi‐objective optimization is a valuable tool. In this article the sigma point approach is applied to account for parametric uncertainty in the frame of interactive multi‐objective bioprocess optimization.
Interactive Multi‐objective Dynamic Optimization of Bioreactors under Parametric Uncertainty
Nimmegeers, Philippe (author) / Vallerio, Mattia (author) / Telen, Dries (author) / Van Impe, Jan (author) / Logist, Filip (author)
Chemie Ingenieur Technik ; 91 ; 349-362
2019-03-01
14 pages
Article (Journal)
Electronic Resource
English
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