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

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

ISBN 10: 3319365215 / ISBN 13: 9783319365213

Verlag: Springer, 2016

In. Bestandsnummer des Verkäufers ria9783319365213_new

Inhaltsangabe:

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.

Von der hinteren Coverseite:

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.

Bibliografische Details

Titel: Probability Collectives: A Distributed ...
Verlag: Springer
Erscheinungsdatum: 2016
Einband: Softcover
Zustand: New