ENGLISH

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

By Muhammet Ünal , Ayça Ak , Vedat Topuz , Hasan Erdal (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-32899-2, 978-3-642-32900-5
DOI
10.1007/978-3-642-32900-5
Language
english
Format
PDF
Filesize
3 MB (3215166 bytes)
Series
Studies in Computational Intelligence 449
Edition
1
Pages
88\95
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Computational Intelligence; Control; Artificial In

Description

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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