A kind of adaptive genetic algorithm and it's application in model identification

被引：0
|
作者：
Liu, CL [1 ]
Wang, ZY [1 ]
Bao, Z [1 ]
机构：
[1] N China Elect Power Univ, Fac Automat, Baoding 071003, Peoples R China
来源：
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词：
model identification; adaptive genetic algorithms; ARX model; float-encoding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2865 / 2869
页数：5
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