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Studies in Computational Intelligence

Hybrid Evolutionary Algorithms

Editors: Grosan, Crina, Abraham, Ajith, Ishibuchi, Hisao (Eds.)

  • Reports recent research results on Hybrid Evolutionary Algorithms
  • Chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems
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eBook $209.00
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  • ISBN 978-3-540-73297-6
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  • Immediate eBook download after purchase
Hardcover $269.00
price for USA
  • ISBN 978-3-540-73296-9
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $269.00
price for USA
  • ISBN 978-3-642-09235-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Table of contents (14 chapters)

  • Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews

    Grosan, Crina (et al.)

    Pages 1-17

  • Quantum-Inspired Evolutionary Algorithm for Numerical Optimization

    Cruz, A. V. Abs (et al.)

    Pages 19-37

  • Enhanced Evolutionary Algorithms for Multidisciplinary Design Optimization: A Control Engineering Perspective

    Dellino, G. (et al.)

    Pages 39-76

  • Hybrid Evolutionary Algorithms and Clustering Search

    Oliveira, A. C. M. (et al.)

    Pages 77-99

  • A Novel Hybrid Algorithm for Function Optimization: Particle Swarm Assisted Incremental Evolution Strategy

    Mo, W. (et al.)

    Pages 101-125

Buy this book

eBook $209.00
price for USA (gross)
  • ISBN 978-3-540-73297-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $269.00
price for USA
  • ISBN 978-3-540-73296-9
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $269.00
price for USA
  • ISBN 978-3-642-09235-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Evolutionary Algorithms
Editors
  • Crina Grosan
  • Ajith Abraham
  • Hisao Ishibuchi
Series Title
Studies in Computational Intelligence
Series Volume
75
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-73297-6
DOI
10.1007/978-3-540-73297-6
Hardcover ISBN
978-3-540-73296-9
Softcover ISBN
978-3-642-09235-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 404
Topics