Investigation on evolutionary computation techniques of a nonlinear system

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. Copyright © 2011 Tran Trong Dao.