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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| Pengarang-pengarang Utama: | , , , |
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| Format: | Book Section |
| Diterbitkan: |
IEEE Explorer
2011
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/29650/ http://eprints.utm.my/29650/ http://eprints.utm.my/29650/ |
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