Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

• Main Authors: Ünal, Muhammet (Author), Ak, Ayça (Author), Topuz, Vedat (Author), Erdal, Hasan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 449
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Control engineering.; Computational Intelligence.; Control.; Artificial Intelligence (incl. Robotics).

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 avai...

Table of Contents:

• Artificial Neural Networks
• Genetic Algorithm
• Ant Colony Optimization (ACO)
• An Application for Process System Control.