Genetic algorithms for control and signal processing
Genetic algorithms for control and signal processing
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DOI：
10.1109/iecon.1997.664911
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发表时间：
1997-01
期刊：
影响因子：
--
通讯作者：
K.F. Man;K. Tang
中科院分区：
文献类型：
--
作者：
K.F. Man;K. Tang
The practical application of genetic algorithms (GA) to the solution of engineering problems is a rapidly emerging approach in the field of control engineering and signal processing. This tutorial provides 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. are 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.
