Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
(Sprache: Englisch)
This book covers the theory behind artificial neural networks, genetic algorithms and the ant colony optimization algorithm, and presents a novel real time control algorithm using genetic and ant colony optimization algorithms for optimizing PID controllers.
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Produktinformationen zu „Optimization of PID Controllers Using Ant Colony and Genetic Algorithms “
This book covers the theory behind artificial neural networks, genetic algorithms and the ant colony optimization algorithm, and presents a novel real time control algorithm using genetic and ant colony optimization algorithms for optimizing PID controllers.
Klappentext zu „Optimization of PID Controllers Using Ant Colony and Genetic Algorithms “
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.
Inhaltsverzeichnis zu „Optimization of PID Controllers Using Ant Colony and Genetic Algorithms “
Artificial Neural Networks.- Genetic Algorithm.- Ant Colony Optimization (ACO).- An Application for Process System Control.
Bibliographische Angaben
- Autoren: Muhammet Ünal , Ayça Ak , Vedat Topuz , Hasan Erdal
- 2012, XX, 88 Seiten, Maße: 16,2 x 23,9 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3642328997
- ISBN-13: 9783642328992
Sprache:
Englisch
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