Effects of genetic algorithm parameters on multiobjective optimization algorithm applied to system identification problem

The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in mul...

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Bibliographic Details
Main Authors: Zakaria, M. Z., Jamaluddin, Hishamuddin, Ahmad, Robiah, Muhaimin, Abdul Halim
Format: Book Section
Published: IEEE Explorer 2011
Subjects:
Online Access:http://eprints.utm.my/29650/
http://eprints.utm.my/29650/
http://eprints.utm.my/29650/
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