Probability Collectives: A Distributed Multi-agent System Approach for Optimization

Probability Collectives: A Distributed Multi-agent System Approach for Optimization

Author
Anand Jayant Kulkarni, Kang Tai, Ajith Abraham (auth.)
Publisher
Springer International Publishing
Language
English
Edition
1
Year
2015
Page
157
ISBN
978-3-319-15999-7, 978-3-319-16000-9
File Type
pdf
File Size
6.3 MiB

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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