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  • © 2019

Evolutionary and Swarm Intelligence Algorithms

  • Presents recent research in evolutionary algorithms
  • Includes state-of-the-art research in swarm intelligence
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 779)

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Softcover Book USD 139.99
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Table of contents (9 chapters)

  1. Front Matter

    Pages i-x
  2. Swarm and Evolutionary Computation

    • Jagdish Chand Bansal, Nikhil R. Pal
    Pages 1-9
  3. Particle Swarm Optimization

    • Jagdish Chand Bansal
    Pages 11-23
  4. Spider Monkey Optimization Algorithm

    • Harish Sharma, Garima Hazrati, Jagdish Chand Bansal
    Pages 43-59
  5. Genetic Algorithm and Its Advances in Embracing Memetics

    • Liang Feng, Yew-Soon Ong, Abhishek Gupta
    Pages 61-84
  6. Genetic Programming for Classification and Feature Selection

    • Kaustuv Nag, Nikhil R. Pal
    Pages 119-141
  7. Genetic Programming for Job Shop Scheduling

    • Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan
    Pages 143-167
  8. Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems

    • S. Elhag, A. Fernández, S. Alshomrani, F. Herrera
    Pages 169-190

About this book

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Editors and Affiliations

  • South Asian University, New Delhi, India

    Jagdish Chand Bansal

  • ABV-Indian Institute of Information Technology and Management, Gwalior, India

    Pramod Kumar Singh

  • Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute, Kolkata, India

    Nikhil R. Pal

Bibliographic Information

  • Book Title: Evolutionary and Swarm Intelligence Algorithms

  • Editors: Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-91341-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2019

  • Hardcover ISBN: 978-3-319-91339-1Published: 15 June 2018

  • Softcover ISBN: 978-3-030-08229-1Published: 26 January 2019

  • eBook ISBN: 978-3-319-91341-4Published: 06 June 2018

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 190

  • Number of Illustrations: 36 b/w illustrations, 21 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
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