Optimization of PID Controllers Using Ant Colony and Genetic Algorithms (Studies in Computational Intelligence, 449, Band 449) - Hardcover

Ünal, Muhammet; Ak, Ayça; Topuz, Vedat; Erdal, Hasan

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

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
3642328997
ISBN 13 
9783642328992
Einband
Gebundene Ausgabe
Anzahl der Seiten
108
Kontakt zum Hersteller
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ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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

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