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Genetic algorithms and their applications

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4 Author(s)
Tang, K.S. ; City Univ. of Hong Kong, Hong Kong ; Man, K.F. ; Kwong, S. ; He, Q.

This article introduces the genetic algorithm (GA) as an emerging optimization algorithm for signal processing. After a discussion of traditional optimization techniques, it reviews the fundamental operations of a simple GA and discusses procedures to improve its functionality. The properties of the GA that relate to signal processing are summarized, and a number of applications, such as IIR adaptive filtering, time delay estimation, active noise control, and speech processing, that are being successfully implemented are described

Published in:

Signal Processing Magazine, IEEE  (Volume:13 ,  Issue: 6 )