Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

• Κύριοι συγγραφείς: Ünal, Muhammet (Συγγραφέας), Ak, Ayça (Συγγραφέας), Topuz, Vedat (Συγγραφέας), Erdal, Hasan (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Computational Intelligence, 449
• Θέματα: 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...

Πίνακας περιεχομένων:

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