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  • © 2017

Engineering Applications of Soft Computing

  • Provides an overview of the different aspects of soft computing methods to create a global understanding of the field and to help conduct studies on specific soft computing techniques related to engineering applications
  • Presents new applications and implementations of soft computing approaches in various engineering contexts
  • Collects 12 structured chapters, each of which can be read independently of the others
  • Written and prepared from a teaching perspective
  • Bridges the gap between recent soft computing techniques and complex engineering applications
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 129)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv
  2. Introduction

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 1-12
  3. Motion Estimation Algorithm Using Block-Matching and Harmony Search Optimization

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 13-44
  4. Gravitational Search Algorithm Applied to Parameter Identification for Induction Motors

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 45-57
  5. Color Segmentation Using LVQ Neural Networks

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 59-75
  6. Global Optimization Using Opposition-Based Electromagnetism-Like Algorithm

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 77-100
  7. Multi-threshold Segmentation Using Learning Automata

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 101-127
  8. Real-Time Gaze Control Using Neurofuzzy Prediction System

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 129-141
  9. Clonal Selection Algorithm Applied to Circle Detection

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 143-164
  10. States of Matter Algorithm Applied to Pattern Detection

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 165-192
  11. Artificial Bee Colony Algorithm Applied to Multi-threshold Segmentation

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 193-214
  12. Learning Automata Applied to Planning Control

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 215-237
  13. Fuzzy-Based System for Corner Detection

    • Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
    Pages 239-258

About this book

This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches.

Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.

Authors and Affiliations

  • Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany

    Margarita-Arimatea Díaz-Cortés, Raúl Rojas

  • CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

    Erik Cuevas

Bibliographic Information

  • Book Title: Engineering Applications of Soft Computing

  • Authors: Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-57813-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-57812-5Published: 04 May 2017

  • Softcover ISBN: 978-3-319-86257-6Published: 25 July 2018

  • eBook ISBN: 978-3-319-57813-2Published: 26 April 2017

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XV, 258

  • Number of Illustrations: 118 b/w illustrations

  • 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
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