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

Kulkarni, Anand Jayant/ Tai, Kang/ Abraham, Ajith

ISBN 10: 3319365215 / ISBN 13: 9783319365213

Published by Springer-Verlag New York Inc, 2016

About this Item

reprint edition. 168 pages. 9.25x6.10x0.38 inches. In Stock.

Seller Inventory # x-3319365215

Bibliographic Details

• Title: Probability Collectives: A Distributed Multi-agent System Approach for Optimization
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2016
• Language: English
• ISBN 10: 3319365215
• ISBN 13: 9783319365213
• Binding: Paperback
• Condition: Brand New
• Weight: 2.65 kilograms

About this title

Synopsis

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.