Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/91757
Type: Artigo de evento
Title: Comparison Of The Optimisation Performance Of Particle Swarm Optimisation And Genetic Algorithms Applied To A Three-phase Slurry Catalytic Reactor
Author: Rezende M.C.A.F.
Costa C.B.B.
Melo D.N.C.
Mariano A.P.
De Toledo E.C.V.
Filho R.M.
Abstract: Multiphase reactors are largely used in industrial processes like hydrogenation and oxidation with usually high throughput production. These types of industrial chemical processes are characterized by a complex dynamic behaviour that requires high dimensionality and non-linear mathematical models, being difficult to be optimised by conventional methods. In face of this, the present work aims to employ heuristic methods to optimise a type of multiphase reactor. The idea is to employ a Particle Swarm Optimisation (PSO) and to compare the performance of this method with the performance of Genetic Algorithms (GAs), when applied to a three-phase catalytic slurry reactor in which the reaction of the hydrogenation of o-cresol producing 2-methyl-cyclohexanol occurs. Heuristic optimisation methods have the advantages of not requiring manipulation of the mathematical structure of the objective function and/or constraint and not requiring an initial feasible point. PSO and GAs have been successfully applied to a range of problems and show characteristics of easiness of implementation and capability of escaping local optimal solution. In this way, in order to optimise the process, the PSO code has been coupled with the rigorous mathematical model of the reactor and the same has been done with GA code. The aim of the optimisation is the searching of the process inputs that maximize the productivity of 2-methyl-cyclohexanol subject to the environmental constraint of conversion. The comparison of the optimisation performance of both methods, PSO and GAs, can be done in relation to computational time, to objective function value and to facility of implementation, determining the suitable method for real-time optimisation. Copyright © 2009, AIDIC Servizi S.r.l.
Editor: Italian Association of Chemical Engineering - AIDIC
Rights: fechado
Identifier DOI: 10.3303/CET0917228
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-76149125493&partnerID=40&md5=3b975311f5b76068d851b7f834080fb9
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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