Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee

[Image: see text] Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient solvers and significant computational power. Over the past years, surrogate models have been considered for such computationally demanding optimization problems. In this sense, artificial neural ne...

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Detalles Bibliográficos
Autores principales: Santana, Vinícius V., Martins, Márcio A. F., Loureiro, José M., Ribeiro, Ana M., Queiroz, Luana P., Rebello, Carine M., Rodrigues, Alírio E., Nogueira, Idelfonso B. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947986/
https://www.ncbi.nlm.nih.gov/pubmed/36844544
http://dx.doi.org/10.1021/acsomega.2c06737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947986/
https://www.ncbi.nlm.nih.gov/pubmed/36844544
http://dx.doi.org/10.1021/acsomega.2c06737

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