Genetic Algorithms | Concepts and Designs
Idioma: inglés
Editorial: Springer, 1999
Serie: Libro 7 de 28 - Advanced Textbooks in Control and Signal Processing
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Genetic Algorithms | Concepts and Designs | Kim-Fung Man (u. a.) | Taschenbuch | Advanced Textbooks in Control and Signal Processing | xii | Englisch | 1999 | Springer | EAN 9781852330729 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
N° de ref. del artículo 106784848
- Título
- Genetic Algorithms | Concepts and Designs
- Autor
- Kim-Fung Man (u. a.)
- Editorial
- Springer
- Año de publicación
- 1999
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 1852330724
- ISBN 13
- 9781852330729
- Peso del artículo
- 546 gramos
- Dimensiones
- 235 x 155 x 20 mm
- Serie
- Libro 7 de 28: Advanced Textbooks in Control and Signal Processing
- Catálogos de vendedores
- Bücher
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
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:
filtering;
H-infinity control;
speech recognition;
production planning and scheduling;
computational intelligence; and
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 as a download available from www.springer.com/1-85233-072-4.
This superb book is suitable for readers from a wide range of disciplines.
Assembly Automation
This is a well-written engineering textbook. Genetic algorithms are properly explained and well motivated. The engineering examples illustrate the power of application of genetic algorithms.
Journal of the American Statistical Association
The book is a good contribution to the genetic algorithm area from an applied point of view. It should be read by engineers, undergraduate or postgraduate students and researchers.
International Journal of Adaptive Control and Signal Processing
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