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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Physics Statistical physics

• Full title: Probability Collectives
• Subtitle: A Distributed Multi-agent System Approach for Optimization
• Author: Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
• Language: English
• Binding: Paperback
• Number of pages: 157
• EAN: 9783319365213
• ISBN: 3319365215
• ID: 15193800
• Publisher: Springer International Publishing AG
• Weight: 2642 g
• Dimensions: 235 × 155 × 9 mm
• Date of publishing: 06. October 2016

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