Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification

• Main Author: Abd Samad, Md Fahmi
• Format: Article
• Language: English; English
• Published: SAGE 2007
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/3972/1/03_975-990_JSCE362.pdf; http://eprints.utem.edu.my/id/eprint/3972/2/impact_factor_2007.pdf; http://eprints.utem.edu.my/id/eprint/3972/; http://www.uk.sagepub.com/journals/Journal202033
• Institution: Universiti Teknikal Malaysia Melaka

The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. The flexibility of a genetic algorithm allows various strategies to be applied to it. One of the strategies applied is the modified genetic algorithm which relies on, among...