Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms-Reference-Cited by-同舟云学术

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Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms

Published:2023-02 Issue: Volume:170 Page:108108
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Forster Tim,Vázquez Daniel,Cruz-Bournazou Mariano Nicolas,Butté Alessandro,Guillén-Gosálbez Gonzalo

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference56 articles.

1. Hybrid semiparametric modeling: a modular process systems engineering approach for the integration of available knowledge sources;Azevedo,2019

2. New algorithms for mixed-integer dynamic optimization;Bansal;Comput. Chem. Eng.,2003

3. Quasilinearization and the estimation of chemical rate constants from raw kinetic data;Bellman;Math. Biosci.,1967

4. ARGONAUT: algorithms for global optimization of constrained grey-box computational problems;Boukouvala;Optimiz. Lett.,2017

5. Incremental identification of kinetic models for homogeneous reaction systems;Brendel;Chem. Eng. Sci.,2006

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1. A review and perspective on hybrid modeling methodologies;Digital Chemical Engineering;2024-03

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