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...