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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Investigation On Optimization Of Process Parameters And Chemical Reactor Geometry By Evolutionary Algorithms

Authors:

Tran Trong Dao, Ivan Zelinka

Published in:

 

(2009).ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera. European Council for Modeling and Simulation. doi:10.7148/2009 

 

ISBN: 978-0-9553018-8-9

 

23rd European Conference on Modelling and Simulation,

Madrid, June 9-12, 2009

Citation format:

Dao, T. T., & Zelinka, I. (2009). Investigation On Optimization Of Process Parameters And Chemical Reactor Geometry By Evolutionary Algorithms. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp. 84-92). European Council for Modeling and Simulation. doi:10.7148/2009-0084-0092

DOI:

http://dx.doi.org/10.7148/2009-0084-0092

Abstract:

The present work aims to employ evolutionary algorithms (EAs) to optimize an industrial chemical process. A unique combination of the simplified fundamental theory and direct hands-on computer simulation is used to present the modeling of a dynamic chemical      engineering      process in a highly understandable way. The main aim is to use them for analysis of dynamical system behaviour, especially of a given chemical reactor. A non-linear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Two algorithms - differential evolution and self-organizing migrating algorithm are used in this investigation. Differential Evolution is an evolutionary optimization technique which is exceptionally simple, significantly faster & robust at numerical optimization and is more likely to find a function’s true global optimum. SOMA is also robust algorithm in sense of global extreme searching. In this way, in order to optimize the process, the EAs code is coupled with the rigorous model of the reactor. Both algorithms (SOMA, DE) have been applied 100 times in order to find the optimum of process parameters and the reactor geometry. The results show that the EAs are used successfully in the process optimization.

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