@inproceedings{38b2155994094dd5b19a09c2dcf25925,
title = "Application of a breeder genetic algorithm for system identification in an adaptive finite impulse response filter",
abstract = "We describe in this paper the application of a breeder genetic algorithm to the problem of parameter identification for an adaptive finite impulse filter. A breeder genetic algorithm was needed due to the epistiasis phenomena, which is present for this type of adaptive filter. The results of the genetic algorithm were compared to the traditional statistical method and, we found that the breeder genetic algorithm was clearly superior (in accuracy) in most of the cases. However, the statistical least mean squares method is faster then the genetic algorithm. For this reason we suggest using the genetic algorithm for off-line adaptation. Ay hybrid method combining the advantages of both methods is proposed for real world applications.",
author = "O. Castillo and O. Montiel and R. Sep{\'u}lveda and P. Melin",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; 3rd NASA/DoD Workshop on Evolvable Hardware, EH 2001 ; Conference date: 12-07-2001 Through 14-07-2001",
year = "2001",
doi = "10.1109/EH.2001.937956",
language = "Ingl{\'e}s",
series = "Proceedings - NASA/DoD Conference on Evolvable Hardware, EH",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--153",
editor = "Zebulum, {Ricardo Salem} and Jason Lohn and Adrian Stoica and Didier Keymeulen",
booktitle = "Proceedings - 3rd NASA/DoD Workshop on Evolvable Hardware, EH 2001",
address = "Estados Unidos",
}