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E-book

Title Optimization of PID controllers using ant colony and genetic algorithms / Muhammet Ünal [and others]
Published Berlin ; New York : Springer, ©2013

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Description 1 online resource
Series Studies in computational intelligence, 1860-949X ; 449
Studies in computational intelligence ; 449.
Contents Artificial Neural Networks -- Genetic Algorithm -- Ant Colony Optimization (ACO) -- An Application for Process System Control -- Conclusion
Summary 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
Analysis Engineering
Artificial intelligence
Computational Intelligence
Control
Bibliography Includes bibliographical references ([79]-82 pages and index)
Notes English
Subject PID controllers -- Mathematics
Ant algorithms.
Genetic algorithms.
Ingénierie.
Ant algorithms
Genetic algorithms
Form Electronic book
Author Ünal, Muhammet
ISBN 9783642329005
3642329004
3642328997
9783642328992