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

By:

Kulkarni,A.J

Contributor(s):

Tai,K

Material type: Text

TextPublication details: Singapore Springer 2024Edition: 1Description: ix,157ISBN:

9783319159997

Subject(s):

Artificial Intelligence

DDC classification:

006.3/ KUL

Summary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Notes	Barcode
Books	MITKRC Basement	Reference	006.3/ KUL (Browse shelf(Opens below))	Available	Faculty of Computer Science	208769

XNRF,2248327 2025-03-06

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.

There are no comments on this title.

to post a comment.