Adaptation, Learning, and Optimization

Adaptation and Hybridization in Computational Intelligence

Editors: Fister, Iztok, Fister Jr., Iztok (Eds.)

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  • Presents recent research in self-adaptation techniques in computational intelligence algorithms and applications as well as theoretical analysis
  • Provides both theoretical treatments and real-world insights gained by experience
  • Comprehensive reference for researchers, practitioners and advanced-level students interested in using computational intelligence algorithms in real-world applications
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eBook 86,86 €
price for Spain (gross)
  • ISBN 978-3-319-14400-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-14399-6
  • 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
Softcover 106,90 €
price for Spain (gross)
  • ISBN 978-3-319-35905-2
  • 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 carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.

This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence –based algorithms.

Table of contents (10 chapters)

  • Adaptation and Hybridization in Nature-Inspired Algorithms

    Fister, Iztok (et al.)

    Pages 3-50

    Preview Buy Chapter 30,19 €
  • Adaptation in the Differential Evolution

    Brest, Janez (et al.)

    Pages 53-68

    Preview Buy Chapter 30,19 €
  • On the Mutation Operators in Evolution Strategies

    Fister, Iztok, Jr. (et al.)

    Pages 69-89

    Preview Buy Chapter 30,19 €
  • Adaptation in Cooperative Coevolutionary Optimization

    Trunfio, Giuseppe A.

    Pages 91-109

    Preview Buy Chapter 30,19 €
  • Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm

    Wang, Gai-Ge (et al.)

    Pages 111-128

    Preview Buy Chapter 30,19 €

Buy this book

eBook 86,86 €
price for Spain (gross)
  • ISBN 978-3-319-14400-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-14399-6
  • 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
Softcover 106,90 €
price for Spain (gross)
  • ISBN 978-3-319-35905-2
  • 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
Adaptation and Hybridization in Computational Intelligence
Editors
  • Iztok Fister
  • Iztok Fister Jr.
Series Title
Adaptation, Learning, and Optimization
Series Volume
18
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-14400-9
DOI
10.1007/978-3-319-14400-9
Hardcover ISBN
978-3-319-14399-6
Softcover ISBN
978-3-319-35905-2
Series ISSN
1867-4534
Edition Number
1
Number of Pages
X, 237
Number of Illustrations
41 b/w illustrations, 1 illustrations in colour
Topics