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

• Main Authors: Kulkarni, Anand Jayant (Author), Tai, Kang (Author), Abraham, Ajith (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Intelligent Systems Reference Library, 86
• Subjects: Engineering.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.
• Physical Description: 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.