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Studies in Computational Intelligence

Evolutionary Computation in Dynamic and Uncertain Environments

Editors: Yang, Shengxiang, Ong, Yew Soon, Jin, Yaochu (Eds.)

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eBook $269.00
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valid through October 16, 2017
  • ISBN 978-3-540-49774-5
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Hardcover $339.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-540-49772-1
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  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-3-642-08065-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.

Table of contents (10 chapters)

  • Particle Swarm Optimization in Dynamic Environments

    Tim Blackwell

    Pages 29-49

  • Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments

    Renato Tinós, Dr. Shengxiang Yang

    Pages 105-127

  • Learning and Anticipation in Online Dynamic Optimization

    Peter A. N. Bosman

    Pages 129-152

  • Adaptive Business Intelligence: Three Case Studies

    Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac

    Pages 179-196

  • Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks

    Frederico Paiva Quintão, Fabíola Guerra Nakamura, Geraldo Robson Mateus

    Pages 197-222

Buy this book

eBook $269.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-540-49774-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-540-49772-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-3-642-08065-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Computation in Dynamic and Uncertain Environments
Editors
  • Shengxiang Yang
  • Yew Soon Ong
  • Yaochu Jin
Series Title
Studies in Computational Intelligence
Series Volume
51
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-540-49774-5
DOI
10.1007/978-3-540-49774-5
Hardcover ISBN
978-3-540-49772-1
Softcover ISBN
978-3-642-08065-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXIII, 605
Topics