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Modelling and Simulation in Engineering
Volume 2011 (2011), Article ID 496732, 21 pages
http://dx.doi.org/10.1155/2011/496732
Research Article

Investigation on Evolutionary Computation Techniques of a Nonlinear System

1Faculty of Information Technology and Applied Mathematics, Ton Duc Thang University, Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam
2Office of Science-Technology, Cooperation and Postgraduate Studies, Ton Duc Thang University, Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam

Received 21 March 2011; Revised 23 June 2011; Accepted 4 August 2011

Academic Editor: Luis Carlos Rabelo

Copyright © 2011 Tran Trong Dao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear 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. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization.