Application of improved genetic algorithm on IIR filter optimization

Ching Hung Lee*, Yueh Chang Tsai, Chih Min Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents an improved GA which modified the GA based on allele gene adaptive mutation of mutation and crossover operation. There are three modified strategies to improve the performance of GA, elitist strategy is adopted to speed up convergence rate; the crossover operation is modified for effective searching; and the allele gene adaptive mutation exploits individuals' allele gene in the population to maintain an appropriate level of diversity. Finally, simulation results of test function of optimization problems and IIR filter design are shown to illustrate the effectiveness and performance of the proposed improved GA.

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages1436-1441
Number of pages6
ISBN (Electronic)9781479902576
DOIs
StatePublished - 2013
Event12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, China
Duration: 14 Jul 201317 Jul 2013

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume3
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
CountryChina
CityTianjin
Period14/07/1317/07/13

Keywords

  • Genetic Algorithm
  • infinite-impulse-response (IIR) filter
  • optimization

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  • Cite this

    Lee, C. H., Tsai, Y. C., & Lin, C. M. (2013). Application of improved genetic algorithm on IIR filter optimization. In Proceedings - International Conference on Machine Learning and Cybernetics (pp. 1436-1441). [6890808] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 3). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2013.6890808