Studies in Computational Intelligence

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Authors: Ünal, M., Ak, A., Topuz, V., Erdal, H.

  • Novel optimization methods for process system control
  • A novel real time control algorithm, that uses Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm for optimizing PID controller parameters
  • Artificial neural networks for modelling complex and non-linear systems
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  • ISBN 978-3-642-43477-8
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About this book

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.

Table of contents (6 chapters)

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-32900-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-32899-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-43477-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
Authors
Series Title
Studies in Computational Intelligence
Series Volume
449
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-32900-5
DOI
10.1007/978-3-642-32900-5
Hardcover ISBN
978-3-642-32899-2
Softcover ISBN
978-3-642-43477-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XX, 88
Topics