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Evolutionary Optimization: the µGP toolkit

Authors: Sanchez, Ernesto, Schillaci, Massimiliano, Squillero, Giovanni

  • Describes an award-winning evolutionary algorithm used for solving practical problems in industry
  • Provides a practical guide on using the μGP, a set of examples to clarify the available choices and advice against common errors and misconceptions
  • Offers practical knowledge about applying various evolutionary schemes using the toolkit, and a set of useful rules of thumb for tuning all toolkit capabilities
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eBook $89.00
price for USA
  • ISBN 978-0-387-09426-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $119.00
price for USA
  • ISBN 978-0-387-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4899-9368-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.

For a practitioner, μGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic problem-solving methodologies, such as engineers dealing with verification and test of electronic circuits; or researchers working in robotics and mobile communication. Examples are provided to guide the reader through the process, from problem definition to gathering results.

For an evolutionary computation researcher, μGP may be regarded as a platform where new operators and strategies can be easily tested.

MicroGP (the toolkit) is an active project hosted by Sourceforge: http://ugp3.sourceforge.net/

Reviews

From the reviews:

“The text is a handbook for µGP. It is aimed at providing the reader with all of the information required for proficient use of the tool. … At the end of the book, a chapter presents a number of examples and applications. … the book meets its main objective of being a reference for the µGP tool … . It is effective as a starting guide for using the tool, and is also useful for discovering advanced features and exploiting the flexibility of individual representation.” (Corrado Mencar, ACM Computing Reviews, March, 2012)


Table of contents (12 chapters)

Buy this book

eBook $89.00
price for USA
  • ISBN 978-0-387-09426-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $119.00
price for USA
  • ISBN 978-0-387-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4899-9368-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Optimization: the µGP toolkit
Authors
Copyright
2011
Publisher
Springer US
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-0-387-09426-7
DOI
10.1007/978-0-387-09426-7
Hardcover ISBN
978-0-387-09425-0
Softcover ISBN
978-1-4899-9368-7
Edition Number
1
Number of Pages
XIII, 178
Topics