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Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.

I. Nogueira, M. Martins, R. Requião, A. Oliveira, V. Viena, H. Koivisto, A. Rodrigues, J. Loureiro, and A. Ribeiro. Comput. Ind. Eng., (2019)

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Manuel José Simões Loureiro

Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Baena

Other publications of authors with the same name

Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant.J. Matos, R. Faria, I. Nogueira, J. Loureiro, and A. Ribeiro. Comput. Chem. Eng., (2019)Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate.V. Viena, M. Martins, A. Rodrigues, J. Loureiro, A. Ribeiro, and I. Nogueira. Comput. Chem. Eng., (2020)Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination.I. Nogueira, R. Faria, A. Rodrigues, J. Loureiro, and A. Ribeiro. Comput. Chem. Eng., (2019)Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method.I. Nogueira, A. Ribeiro, A. Rodrigues, and J. Loureiro. Comput. Chem. Eng., (2016)Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.I. Nogueira, M. Martins, R. Requião, A. Oliveira, V. Viena, H. Koivisto, A. Rodrigues, J. Loureiro, and A. Ribeiro. Comput. Ind. Eng., (2019)Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime.I. Nogueira, A. Ribeiro, A. Rodrigues, and J. Loureiro. Comput. Chem. Eng., (2017)A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes.I. Nogueira, A. Ribeiro, R. Requião, K. Pontes, H. Koivisto, A. Rodrigues, and J. Loureiro. Appl. Soft Comput., (2018)Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach.V. Santana, M. Martins, J. Loureiro, A. Ribeiro, A. Rodrigues, and I. Nogueira. Comput. Chem. Eng., (2021)Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination.I. Nogueira, R. Faria, R. Requião, H. Koivisto, M. Martins, A. Rodrigues, J. Loureiro, and A. Ribeiro. Comput. Chem. Eng., (2018)A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit.P. Marrocos, I. Iwakiri, M. Martins, A. Rodrigues, J. Loureiro, A. Ribeiro, and I. Nogueira. Appl. Soft Comput., (2022)

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Disambiguation of "Loureiro, José M."

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Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.

Please choose a person to relate this publication to

Manuel José Simões Loureiro

Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Baena

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Loureiro, José M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.

Please choose a person to relate this publication to

Manuel José Simões Loureiro

Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Baena

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.