Optimization of PID Controllers Using Ant Colony and Genetic Algorithms: 449 (Studies in Computational Intelligence) - Tapa dura

Ak, Ayça; Ünal, Muhammet; Topuz, Vedat

 
9783642328992: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms: 449 (Studies in Computational Intelligence)
Tapa dura
ISBN 10: 3642328997 ISBN 13: 9783642328992
Editorial: Springer, 2012

Sinopsis

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.

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De la contraportada

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3642328997
ISBN 13 
9783642328992
Encuadernación
Tapa dura
Número de páginas
108
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783642434778: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms: 449 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3642434770 ISBN 13:  9783642434778
Editorial: Springer, 2014
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