Performance of multi-parents genetic algorithms (MPGA) for IIR adaptive system identification

G. Sun, X. Shao, William Kenneth Jenkins

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

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationIEEE 58th International Midwest Symposium on Circuits and Systems
Subtitle of host publicationClimbing to New Heights, MWSCAS 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467365574
DOIs
StatePublished - Sep 28 2015
Event58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015 - Fort Collins, United States
Duration: Aug 2 2015Aug 5 2015

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2015-September
ISSN (Print)1548-3746

Other

Other58th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2015
Country/TerritoryUnited States
CityFort Collins
Period8/2/158/5/15

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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