Probability Collectives - A Distributed Multi-agent System Approach for Optimization (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 86
Release date:	October 2016
First published:	2015
Authors:	Anand Jayant Kulkarni • Kang Tai • Ajith Abraham
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	157
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-36521-3
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Physics > General
LSN:	3-319-36521-5
Barcode:	9783319365213

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