Probability Collectives

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106,99 

A Distributed Multi-agent System Approach for Optimization, Intelligent Systems Reference Library 86

ISBN: 3319159992
ISBN 13: 9783319159997
Autor: Kulkarni, Anand Jayant/Tai, Kang/Abraham, Ajith
Verlag: Springer Verlag GmbH
Umfang: ix, 157 S., 68 s/w Illustr., 157 p. 68 illus.
Erscheinungsdatum: 23.03.2015
Auflage: 1/2015
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 7807584 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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