Performance of Multi-Parents Genetic Algorithms (MPGA) for IIR Adaptive System Identification

被引：0

作者：

Sun, G. ^{[1
]}

Shao, X. ^{[1
]}

Jenkins, W. K. ^{[1
]}

机构：

[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA

来源：

2015 IEEE 58TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2015年

关键词：

IIR; adaptive filter; Multi-parent GA; system identification;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Genetic algorithms (GA) are based on principles of natural selection that originate in biology. The GA has been used for adaptive IIR system identification, but due to slow convergence rates and high computational complexity its use for IIR adaptive systems has been limited. This paper proposes a multi-parents genetic algorithm (MPGA) that is a generalization of the two-parents GA. Results demonstrate that the MPGA can improve convergence rates and maintain relatively low mean-square-errors (MSEs), although it requires increased computational complexity. An attempt to reduce computational complexity is presented and experiments illustrate how the MPGA operates on various digital filter structures.

引用

页数：4