Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library, 86)

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

ISBN 10: 3319159992 ISBN 13: 9783319159997
Published by Springer, 2015
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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.

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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.

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Title: Probability Collectives: A Distributed ...
Publisher: Springer
Publication Date: 2015
Binding: Hardcover
Condition: New

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 SystemsDiscusses in detail the modified Probability Collectives app. Seller Inventory # 20917546

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Buch. Condition: Neu. Probability Collectives | A Distributed Multi-agent System Approach for Optimization | Anand Jayant Kulkarni (u. a.) | Buch | ix | Englisch | 2015 | Springer | EAN 9783319159997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 104904077

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Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. Seller Inventory # 9783319159997

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319159997

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch. Seller Inventory # 9783319159997

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