Studies in Computational Intelligence

Applications of Computational Intelligence in Biology

Current Trends and Open Problems

Editors: Smolinski, Tomasz G., Milanova, Mariofanna G, Hassanien, Aboul-Ella (Eds.)

  • Presents current applications of Computational Intelligence in Biology

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eBook $189.00
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  • ISBN 978-3-540-78534-7
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Hardcover $249.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-540-78533-0
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Softcover $249.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-09730-0
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  • Usually dispatched within 3 to 5 business days.
About this book

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.

Table of contents (16 chapters)

  • Statistically Based Pattern Discovery Techniques for Biological Data Analysis

    Hamilton-Wright, Andrew (et al.)

    Pages 3-31

  • Rough Sets In Data Analysis: Foundations and Applications

    Polkowski, Lech (et al.)

    Pages 33-54

  • Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters

    McTavish, Thomas (et al.)

    Pages 55-78

  • An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology

    Jaimes, Antonio López (et al.)

    Pages 79-102

  • Local Classifiers as a Method of Analysing and Classifying Signals

    Jakuczun, Wit

    Pages 105-133

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-3-540-78534-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-540-78533-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-09730-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applications of Computational Intelligence in Biology
Book Subtitle
Current Trends and Open Problems
Editors
  • Tomasz G. Smolinski
  • Mariofanna G Milanova
  • Aboul-Ella Hassanien
Series Title
Studies in Computational Intelligence
Series Volume
122
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78534-7
DOI
10.1007/978-3-540-78534-7
Hardcover ISBN
978-3-540-78533-0
Softcover ISBN
978-3-642-09730-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXVI, 428
Topics