Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor

► PSO was employed to optimize the productivity of a three-phase catalytic slurry reactor. ► The reactor was represented by a multivariable non-linear rigorous mathematical model. ► Four sets of PSO parameters values suggested by the literature were evaluated. ► PSO was efficient and robust to solve...

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Bibliographic Details
Published in:	Computers & chemical engineering Vol. 35; no. 12; pp. 2741 - 2749
Main Authors:	Mariano, Adriano Pinto, Costa, Caliane Bastos Borba, de Toledo, Eduardo Coselli Vasco, Melo, Delba Nisi Cosme, Filho, Rubens Maciel
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 14.12.2011 Elsevier
Subjects:	Algorithms Applied sciences Catalysis Catalysts Chemical engineering Exact sciences and technology Experimental design Inventory control, production control. Distribution Mathematical analysis Mathematical models Mathematical programming Mathematics Multiphase reactors Operational research and scientific management Operational research. Management science Optimization Probability and statistics PSO Reactors Sciences and techniques of general use Statistics PSO Multiphase reactors Optimization Variable conditions Fourier transformation Evolutionary algorithm Hydrogenation Modeling Goal programming Function evaluation Chemical reactor Function maximization Convergence rate Swarm intelligence Robustness Deterministic approach Productivity Sensitivity analysis Tubular reactor Catalytic reactor Particle suspension Real time Conversion Particle swarm optimization Real time system Operating conditions Constrained optimization Non linear model Objective function Non linear effect Multivariable system Slurries
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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