Probability Collectives A Distributed Multi-agent System Approach for Optimization /

• Κύριοι συγγραφείς: Kulkarni, Anand Jayant (Συγγραφέας), Tai, Kang (Συγγραφέας), Abraham, Ajith (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Intelligent Systems Reference Library, 86
• Θέματα: Engineering.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.
• Φυσική περιγραφή: IX, 157 p. 68 illus. online resource.
• ISBN: 9783319160009
• ISSN: 1868-4394 ;

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.