@inproceedings{5d8926ffbd0f430f8a7f0d63a972cb49,
title = "A Breeder Genetic Algorithm for Finite Impulse Filter Optimization",
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 most of the cases. However, the statistical Least Mean Squares method is faster than the genetic algorithm. For this reason we suggest using the genetic algorithm for off-line applications, and the statistical method for on-line adaptation.",
author = "Oscar Montiel and Oscar Castillo and Patricia Melin and Roberto Sep{\'u}lveda",
year = "2002",
language = "Ingl{\'e}s",
isbn = "0970789017",
series = "Proceedings of the Joint Conference on Information Sciences",
pages = "582--585",
editor = "J.H. Caulfield and S.H. Chen and H.D. Cheng and R. Duro and J.H. Caufield and S.H. Chen and H.D. Cheng and R. Duro and V. Honavar",
booktitle = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002",
note = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 ; Conference date: 08-03-2002 Through 13-03-2002",
}