Genetic algorithms for control and signal processing

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Original languageEnglish
Pages (from-to)1541-1555
Journal / PublicationIECON Proceedings (Industrial Electronics Conference)
Publication statusPublished - 1997


TitleProceedings of the 1997 23rd Annual International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 2 (of 4)
CityNew Orleans, LA, USA
Period9 - 14 November 1997


The practical application of Genetic Algorithms (GA) to the solution of engineering problem is a rapidly emerging approach in the field of control engineering and signal processing. This tutorial is to provide a comprehensive coverage of the techniques involved, describing the characteristics, advantages and constraints of GA, as well as discussing genetic operations such as crossover, mutation and reinsertion. The intrinsic characteristics in term parallelism, multiobjective, and multimodal etc. will be outlined. The features of this approach are illustrated by real-world applications. Also described is a newly proposed and unique hierarchical genetic algorithm designed to address the problem in determining system topology.