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  • © 2014

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

Authors:

  • Comprehensive Introduction to Innovative Computational Intelligence
  • Presents new paradigms of Computational Intelligence that have rarely been mentioned before
  • Although structured as a textbook, the book's straightforward, self-contained style appeals to a wide audience of professionals, researchers and independent learners
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 62)

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Table of contents (28 chapters)

  1. Front Matter

    Pages i-xxxix
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Introduction to Computational Intelligence

      • Bo Xing, Wen-Jing Gao
      Pages 3-17
  3. Biology-based CI Algorithms

    1. Front Matter

      Pages 19-19
    2. Bacteria Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 21-38
    3. Bat Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 39-44
    4. Bee Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 45-80
    5. Biogeography-based Optimization Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 81-91
    6. Cat Swarm Optimization Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 93-104
    7. Cuckoo Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 105-121
    8. Luminous Insect Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 123-137
    9. Fish Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 139-155
    10. Frog Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 157-165
    11. Fruit Fly Optimization Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 167-170
    12. Group Search Optimizer Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 171-176
    13. Invasive Weed Optimization Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 177-181
    14. Music Inspired Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 183-201
    15. Imperialist Competitive Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 203-209
    16. Teaching–Learning-based Optimization Algorithm

      • Bo Xing, Wen-Jing Gao
      Pages 211-216
    17. Emerging Biology-based CI Algorithms

      • Bo Xing, Wen-Jing Gao
      Pages 217-317

About this book

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies.

The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

Reviews

From the book reviews:

“This book tries to summarize 134 ‘clever’ algorithms that are inspired by scientific processes found in nature. … This book is unique both for its breadth of algorithms as well as its focused attention on computational intelligence. It is a necessary text for anyone interested in exploring the varieties of naturally inspired algorithms.” (Minette Carl, Computing Reviews, September, 2014)

Authors and Affiliations

  • Department of Mechanical and Aeronautical Engineering, University of Pretoria, Faculty of Engineering, Built Environment and Information Technology, Pretoria, South Africa

    Bo Xing

  • Department of New Product Development, Meiyuan Mould Design and Manufacturing Co., Ltd, Xianghe, People's Republic of China

    Wen-Jing Gao

Bibliographic Information

  • Book Title: Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

  • Authors: Bo Xing, Wen-Jing Gao

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-03404-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-03403-4Published: 30 December 2013

  • Softcover ISBN: 978-3-319-34930-5Published: 27 August 2016

  • eBook ISBN: 978-3-319-03404-1Published: 13 December 2013

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XXXIX, 451

  • Topics: Computational Intelligence, Image Processing and Computer Vision

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
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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