Application of a breeder genetic algorithm for filter optimization

被引：0
|
作者：
Montiel O. [1 ]
Castillo O. [2 ]
Melin P. [2 ]
Sepulveda R. [1 ]
机构：
[1] CITEDI-IPN, National Polytechnic Institute, Tijuana
[2] Department of Computer Science, Tijuana Institute of Technology, Chula Vista, CA 91909
来源：
Natural Computing | 2005年 / 4卷 / 1期
关键词：
BGA; Breeder; Evolutionary algorithm; GA; System identification;
D O I：
10.1007/s11047-004-9097-z
中图分类号：
学科分类号：
摘要：
In this work we are optimizing an adaptive finite impulse response filter applied to the problem of system identification. We are proposing a breeder genetic algorithm (BGA) for performing the parametric search in highly multimoldal landscapes since in this kind of filters there exits epistiasis. The results of BGA were compared to the traditional genetic algorithm, and we found that the BGA was clearly superior (in accuracy) in most of the cases. We used the statistical least mean squared for validating the results. We suggest to hybridized both methods for real world applications. © Springer 2005.
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页码：11 / 37
页数：26
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