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Intelligent Systems Reference Library

Probability Collectives

A Distributed Multi-agent System Approach for Optimization

Authors: Kulkarni, Anand Jayant, Tai, Kang, Abraham, Ajith

  • Provides the core and underlying principles and analysis of the different concepts in the framework of Collective Intelligence for modeling and controlling distributed Multi-Agent Systems
  • Discusses in detail the modified Probability Collectives approach proposed by the authors
  • Emphasizes development of the fundamental results from basic concepts
  • Numerous examples/problems are worked out in the text allowing the reader to gain further insight into the associated concepts
  • Written for engineers, scientists and students in Optimization, Computational Intelligence or Artificial Intelligence and particularly involved in the Collective Intelligence field
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eBook $69.99
price for USA (gross)
  • ISBN 978-3-319-16000-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-3-319-15999-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 17, 2016
  • ISBN 978-3-319-36521-3
  • Free shipping for individuals worldwide
About this book

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.

Reviews

“The book contains numerous overviews of the optimization literature, and each chapter has a comprehensive bibliography. The book will be of interest to both students who are interested in optimization and practitioners.” (J. P. E. Hodgson, Computing Reviews, June, 2015)


Table of contents (7 chapters)

  • Introduction to Optimization

    Kulkarni, Anand Jayant (et al.)

    Pages 1-13

  • Probability Collectives: A Distributed Optimization Approach

    Kulkarni, Anand Jayant (et al.)

    Pages 15-35

  • Constrained Probability Collectives: A Heuristic Approach

    Kulkarni, Anand Jayant (et al.)

    Pages 37-60

  • Constrained Probability Collectives with a Penalty Function Approach

    Kulkarni, Anand Jayant (et al.)

    Pages 61-72

  • Constrained Probability Collectives with Feasibility Based Rule I

    Kulkarni, Anand Jayant (et al.)

    Pages 73-93

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-319-16000-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-3-319-15999-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 17, 2016
  • ISBN 978-3-319-36521-3
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Probability Collectives
Book Subtitle
A Distributed Multi-agent System Approach for Optimization
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
86
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-16000-9
DOI
10.1007/978-3-319-16000-9
Hardcover ISBN
978-3-319-15999-7
Softcover ISBN
978-3-319-36521-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
IX, 157
Number of Illustrations and Tables
68 b/w illustrations
Topics