Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee-Reference-Cited by-同舟云学术

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

Published:2023-02-07 Issue:7 Volume:8 Page:6463-6475
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Santana Vinícius V.¹²^ORCID,Martins Márcio A. F.²^ORCID,Loureiro José M.¹,Ribeiro Ana M.¹^ORCID,Queiroz Luana P.¹^ORCID,Rebello Carine M.²,Rodrigues Alírio E.¹^ORCID,Nogueira Idelfonso B. R.³^ORCID

Affiliation:

1. Laboratory of Separation and Reaction Engineering, Associate Laboratory LSRE-LCM, Department of Chemical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal

2. Industrial Engineering Program, Polytechnic School, Federal University of Bahia, Rua Prof. Aristides Novis, 2─Federação, 40210-630 Salvador/Bahia, Brazil

3. Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway

Funder

Funda??o de Amparo ? Pesquisa do Estado da Bahia

Opetushallitus

Funda??o para a Ci?ncia e a Tecnologia

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c06737

Reference41 articles.

1. Simulated Moving Bed Reactor

2. Analysis of simulated moving-bed reactors

3. Simulated moving bed reactor for isomerization and separation of p-xylene

4. Model-based design and experimental validation of simulated moving bed reactor for production of glycol ether ester

5. Opportunities and challenges for process control in process intensification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Decision-Making in Gas Lift Optimization through Deep Neural Network-based Multi-Objective Approaches and Feasible Operating Regions;IFAC-PapersOnLine;2024