Studies in Computational Intelligence

Advances in Metaheuristics Algorithms: Methods and Applications

Authors: Cuevas, Erik, Zaldívar, Daniel, Pérez-Cisneros, Marco

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  • Discusses new alternative metaheuristic developments that have proven to be effective in their application to several complex problems
     
    Helps researchers, lecturers, engineers, and practitioners solve their own optimization problems
     
    Is well-structured so that each chapter can be read independently from the others

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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-89309-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-89308-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

Table of contents (8 chapters)

  • Introduction

    Cuevas, Erik (et al.)

    Pages 1-8

  • The Metaheuristic Algorithm of the Social-Spider

    Cuevas, Erik (et al.)

    Pages 9-33

  • Calibration of Fractional Fuzzy Controllers by Using the Social-Spider Method

    Cuevas, Erik (et al.)

    Pages 35-55

    Preview Buy Chapter 30,19 €
  • The Metaheuristic Algorithm of the Locust-Search

    Cuevas, Erik (et al.)

    Pages 57-76

    Preview Buy Chapter 30,19 €
  • Identification of Fractional Chaotic Systems by Using the Locust Search Algorithm

    Cuevas, Erik (et al.)

    Pages 77-92

    Preview Buy Chapter 30,19 €

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-89309-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-89308-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Metaheuristics Algorithms: Methods and Applications
Authors
Series Title
Studies in Computational Intelligence
Series Volume
775
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-89309-9
DOI
10.1007/978-3-319-89309-9
Hardcover ISBN
978-3-319-89308-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 218
Number of Illustrations
35 b/w illustrations, 13 illustrations in colour
Topics