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A kind of adaptive genetic algorithm and its application in model identification

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3 Author(s)
Chang-Liang Liu ; Fac. of Autom., North China Electr. Power Univ., Baoding, China ; Zhi-Yuan Wang ; Zhen Bao

In this paper, a kind of adaptive genetic algorithm based on float-encoding is introduced and applied in system identification. In the algorithm, the cross probability and mutation probability are assigned to each gene according to the fitness adaptively. The improvement can guarantee the colony multiplicity and the convergence. The simulation results of identifying a theoretical model and application to a real object have proved the accuracy and robust of adaptive genetic algorithm.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:5 )

Date of Conference:

18-21 Aug. 2005