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Studies in Computational Intelligence

Parallel Genetic Algorithms

Theory and Real World Applications

Authors: Luque, Gabriel, Alba, Enrique

  • Presents theory and applications of Parallel Genetic Algorithms
  • Written by leading experts in this field
  • State-of-the-Art book
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  • ISBN 978-3-642-22084-5
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Hardcover $179.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-22083-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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  • ISBN 978-3-642-26868-7
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About this book

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics.

 

The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics.

 

This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.

 

 

Reviews

From the reviews:

“The book is clearly addressed at the practitioner in the field and at people interested in applying parallel evolutionary algorithms to some specific real world problem. … For practitioners, the book offers four very concrete and precise case studies, an introduction to a library that facilitates implementation and a thorough and practical guide towards presenting their own results in scientific publications. The book extends well beyond a summary of the state of the art and contains a large amount of original research results.” (Thomas Jansen, Zentralblatt MATH, Vol. 1232, 2012)


Table of contents (4 chapters)

  • Parallel Models for Genetic Algorithms

    Gabriel Luque, Enrique Alba

    Pages 15-30

  • Best Practices in Reporting Results with Parallel Genetic Algorithms

    Gabriel Luque, Enrique Alba

    Pages 31-51

  • Design of Combinational Logic Circuits

    Gabriel Luque, Enrique Alba

    Pages 91-114

  • Parallel GAs in Bioinformatics: Assembling DNA Fragments

    Gabriel Luque, Enrique Alba

    Pages 135-147

Buy this book

eBook $139.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-22084-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-22083-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-3-642-26868-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Parallel Genetic Algorithms
Book Subtitle
Theory and Real World Applications
Authors
Series Title
Studies in Computational Intelligence
Series Volume
367
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-22084-5
DOI
10.1007/978-3-642-22084-5
Hardcover ISBN
978-3-642-22083-8
Softcover ISBN
978-3-642-26868-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 172
Topics