Application of genetic algorithms to infinite-impulse-response adaptive filters

Stuart J. Flockton; Michael S. White

doi:10.1117/12.152641

19 August 1993 Application of genetic algorithms to infinite-impulse-response adaptive filters

Stuart J. Flockton, Michael S. White

Proceedings Volume 1966, Science of Artificial Neural Networks II; (1993) https://doi.org/10.1117/12.152641
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Adaptive infmite impulse response filters require the exploration of a multimodal error surface. We describe the use of genetic algorithms for this particular problem and demonstrate that our approach is capable of discovering the global minimum of the performance surface of a multimodal adaptive filter example in a reasonable length of time compared with other methods. We also compare the performance of the genetic algorithm with the recently-proposed method of very fast simulated reannealing.

Citation Download Citation

Stuart J. Flockton and Michael S. White "Application of genetic algorithms to infinite-impulse-response adaptive filters", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); https://doi.org/10.1117/12.152641

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