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  • © 2015

Multi-objective Swarm Intelligence

Theoretical Advances and Applications

  • Recent research on Multi objective Swarm Intelligence
  • Presents theoretical advances and applications
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 592)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiv
  2. A Comprehensive Review on Bacteria Foraging Optimization Technique

    • B. Selva Rani, Ch. Aswani Kumar
    Pages 1-25
  3. Comparison of Various Approaches in Multi-objective Particle Swarm Optimization (MOPSO): Empirical Study

    • Swagatika Devi, Alok Kumar Jagadev, Sachidananda Dehuri
    Pages 75-103
  4. Binary Ant Colony Optimization for Subset Problems

    • Nadia Abd-Alsabour
    Pages 105-121
  5. Ant Colony for Locality Foraging in Image Enhancement

    • Gabriele Simone, Davide Gadia, Ivar Farup, Alessandro Rizzi
    Pages 123-142

About this book

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.       

Editors and Affiliations

  • Department of Information and Communication Technology, Fakir Mohan University, Balasore, India

    Satchidananda Dehuri

  • Department of Computer Science and Engineering, Siksha 'O' Anusandhan University, Bhubaneswar, India

    Alok Kumar Jagadev

  • Gandhi Institute for Technological Advancement, Bhubaneswar, India

    Mrutyunjaya Panda

Bibliographic Information

  • Book Title: Multi-objective Swarm Intelligence

  • Book Subtitle: Theoretical Advances and Applications

  • Editors: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-662-46309-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2015

  • Hardcover ISBN: 978-3-662-46308-6Published: 26 March 2015

  • Softcover ISBN: 978-3-662-52365-0Published: 09 October 2016

  • eBook ISBN: 978-3-662-46309-3Published: 10 March 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 201

  • Number of Illustrations: 49 b/w illustrations, 11 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access