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

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

ISBN 10: 3319159992 ISBN 13: 9783319159997

Editorial: Springer, 2015

Idioma: Ingl�s

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PRINT ON DEMAND pp. 157.

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Detalles bibliogr�ficos

T�tulo: Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library)
Editor: Springer
Fecha de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 3319159992
ISBN 13: 9783319159997
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

De la contraportada

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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