Title :
A kind of adaptive genetic algorithm and its application in model identification
Author :
Liu, Chang-Liang ; Wang, Zhi-Yuan ; Bao, Zhen
Author_Institution :
Fac. of Autom., North China Electr. Power Univ., Baoding, China
Abstract :
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.
Keywords :
adaptive systems; genetic algorithms; probability; adaptive genetic algorithm; colony multiplicity; cross probability; float-encoding; mutation probability; system identification; Automation; Chemical analysis; Convergence; Electronic mail; Genetic algorithms; Genetic mutations; Mathematical model; Power system modeling; Signal processing; System identification; ARX model; Model identification; adaptive genetic algorithms; float-encoding;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527431
