Probability Collectives

A Distributed Multi-agent System Approach for Optimization

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Science, Physics, General Physics, General Computing
Cover of the book Probability Collectives by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham, Springer International Publishing
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Author: Anand Jayant Kulkarni, Kang Tai, Ajith Abraham ISBN: 9783319160009
Publisher: Springer International Publishing Publication: February 25, 2015
Imprint: Springer Language: English
Author: Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
ISBN: 9783319160009
Publisher: Springer International Publishing
Publication: February 25, 2015
Imprint: Springer
Language: English

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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