The practical application of genetic algorithms to the solution of engineering problems, has rapidly become an established approach in the fields of control and signal processing. Genetic Algorithms provides comprehensive coverage of the techniques involved, describing the intrinsic characteristics, advantages and constraints of genetic algorithms, as well as discussing genetic operations such as crossover, mutation and reinsertion. In addition, the principle of multiobjective optimization and computing parallelism are discussed. The use of genetic algorithms in many areas of interest in control and signal processing is detailed; among the areas of application are: a filtering; a H-infinity control; a speech recognition; a production planning and scheduling; a computational intelligence; and a communication systems. Also described is an original hierarchical genetic algorithm designed to address the problems in determining system topology. The authors provide "A Game of Genetic Creatures," a fundamental study for GA based on computer-generated insects to demonstrate some of the ideas developed in the text.
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