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

by Anand Jayant Kulkarni, Kang Tai, and Ajith Abraham

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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.

  • ISBN13 9783319365213
  • Publish Date 6 October 2016 (first published 1 January 2015)
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer International Publishing AG
  • Edition Softcover reprint of the original 1st ed. 2015
  • Format Paperback
  • Pages 157
  • Language English