Description
Probability Collectives, Softcover reprint of the original 1st ed. 2015
A Distributed Multi-agent System Approach for Optimization
Intelligent Systems Reference Library Series, Vol. 86
Authors: Kulkarni Anand Jayant, Tai Kang, Abraham Ajith
Language: EnglishApproximative price 105.49 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Kulkarni Anand Jayant, Tai Kang, Abraham AjithPublication date: 10-2016
Support: Print on demand
Approximative price 105.49 €
In Print (Delivery period: 15 days).
Add to cart the book of Kulkarni Anand Jayant, Tai Kang, Abraham AjithPublication date: 03-2015
157 p. · 15.5x23.5 cm · Hardback
Description
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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.
Provides the core and underlying principles and analysis of the different concepts in the framework of Collective Intelligence for modeling and controlling distributed Multi-Agent Systems
Discusses in detail the modified Probability Collectives approach proposed by the authors
Emphasizes development of the fundamental results from basic concepts
Numerous examples/problems are worked out in the text allowing the reader to gain further insight into the associated concepts
Written for engineers, scientists and students in Optimization, Computational Intelligence or Artificial Intelligence and particularly involved in the Collective Intelligence field
Includes supplementary material: sn.pub/extras