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Studies in Computational Intelligence

Evolutionary Computation in Practice

Editors: Yu, T., Davis, L., Baydar, C., Roy, R. (Eds.)

  • Contains everything about evolutionary computation in practice
  • Loaded with examples
  • Some of the authors have already won "Humies" - Human Competitive Results Awards - for the work described in this book
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Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-540-75771-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-540-75770-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-3-642-09492-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions. Some of the authors have already won "Humies"—Human Competitive Results Awards—for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems.

--Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery

Reviews

From the reviews:

"‘Evolutionary Computation in Practice’ … focuses on real-world challenges and on technology transfer from academia to industry. It is of interest to everyone working on machine learning. … is well-written, easy to read and provides a comprehensive coverage of the field. … This enables the appropriate and successful use of EC. It inspires academic researchers by demonstrating the value of their work, and guides them in their development of EC. It is an excellent contribution to the Studies in Computational Intelligence series." (Larry M. Deschaine, Genetic Programming and Evolvable Machines, Vol. 9, March, 2008)


Table of contents (15 chapters)

  • An Introduction to Evolutionary Computation in Practice

    Yu, Tina (et al.)

    Pages 1-8

  • Design for Product Embedded Disassembly

    Takeuchi, Shingo (et al.)

    Pages 9-39

  • Multi-Level Decomposition for Tractability in Structural Design Optimization

    Goodman, Erik D. (et al.)

    Pages 41-62

  • Representing the Change - Free Form Deformation for Evolutionary Design Optimization

    Menzel, Stefan (et al.)

    Pages 63-86

  • Evolving Microstructured Optical Fibres

    Manos, Steven (et al.)

    Pages 87-124

Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-540-75771-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-540-75770-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-3-642-09492-7
  • 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 Practice
Editors
  • Tina Yu
  • Lawrence Davis
  • Cem Baydar
  • Rajkumar Roy
Series Title
Studies in Computational Intelligence
Series Volume
88
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-75771-9
DOI
10.1007/978-3-540-75771-9
Hardcover ISBN
978-3-540-75770-2
Softcover ISBN
978-3-642-09492-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 322
Topics