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.
| ISBN: | 9783642328992 |
| Publication date: | 8th September 2012 |
| Author: | Muhammet Ünal |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 85 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence Automatic control engineering |
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.
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms features in the following genres: Artificial intelligence, Automatic control engineering
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms is available in Hardback
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms was written by Muhammet Ünal and published by Springer an imprint of Springer Berlin Heidelberg
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms has 85 pages
Yes it is part of Studies in Computational Intelligence series