Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Language: English

Published by Springer, Springer Okt 2014, 2014

3642434770 / 9783642434778

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.…

Seller Inventory # 9783642434778

Title
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
Author
Muhammet Ünal
Publisher
Springer, Springer Okt 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642434770
ISBN 13
9783642434778
Item weight
178 grams
Dimensions
235x155x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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