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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.

, , , , , , , , and . Comput. Ind. Eng., (2019)

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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., , , , , , , , and . Comput. Ind. Eng., (2019)Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant., , , , and . Comput. Chem. Eng., (2019)Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate., , , , , and . Comput. Chem. Eng., (2020)A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process., , , , , and . Comput. Chem. Eng., (2020)Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination., , , , and . Comput. Chem. Eng., (2019)Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method., , , and . Comput. Chem. Eng., (2016)Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination., , , , , , , and . 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., , , , , , and . Appl. Soft Comput., (2022)Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach., , , , , and . Comput. Chem. Eng., (2021)Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach., , , , , and . CoRR, (2023)