Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems-Reference-Cited by-同舟云学术

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Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems

Published:2024-10 Issue: Volume:189 Page:108779
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Grimm Markus^ORCID,Paul Sébastien^ORCID,Chainais Pierre^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Parallel Gaussian process optimization with upper confidence bound and pure exploration;Contal,2013

2. Scalable global optimization via local Bayesian optimization;Eriksson,2019

3. Combining multi-fidelity modelling and asynchronous batch Bayesian optimization;Folch;Comput. Chem. Eng.,2023

4. Model-based design of experiments for parameter precision: State of the art;Franceschini;Chem. Eng. Sci.,2008

5. Bayesian optimization for materials design;Frazier,2016

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