Adaptive digital filtering using the bio-inspired firefly algorithm

M. Hussain, William Kenneth Jenkins

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

12 Scopus citations

Abstract

The Lévy Flights variation of the bio-inspired Firefly Algorithm (LFFA) combines the Firefly Algorithm based on how fireflies interact through flashes and a random-step function based on the Lévy distribution. The LFFA, the Genetic Algorithm (GA), and the Particle Swarm Optimization Algorithm (PSOA) are compared when used for adaptive IIR system identification. Comparisons of the LFFA in direct, cascade, and parallel form structures suggest that 1) the LFFA is more effective than the GA and PSOA, 2) the LFFA adaptive algorithm works well for all structures that were experimentally tested, including a nonlinear Volterra structure, and 3) the LFFA appears to perform most effectively.

Original languageEnglish (US)
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages816-819
Number of pages4
ISBN (Electronic)9781538618233
DOIs
StatePublished - Jul 2 2017
Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
Duration: Oct 29 2017Nov 1 2017

Publication series

NameConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Volume2017-October

Other

Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Country/TerritoryUnited States
CityPacific Grove
Period10/29/1711/1/17

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

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