Probability Collectives: A Distributed Multi-agent System Approach for Optimization: 86 - Brossura

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

Brossura

ISBN 10: 3319365215 ISBN 13: 9783319365213

Casa editrice: Springer, 2016

Riassunto

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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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319365215
• ISBN 13: 9783319365213
• Rilegatura: Copertina flessibile
• Numero di pagine: 168
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania