Overview
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.
The book, Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library #86) [Bulk, Wholesale, Quantity] ISBN#9783319365213 in Paperback by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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