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Advances in Intelligent Systems and Computing

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

International Conference Held at Leiden University, July 10-13, 2013

Editors: Emmerich, M., Deutz, A., Schuetze, O., Bäck, Th., Tantar, E., Tantar, A.-A., Del Moral, P., Legrand, P., Bouvry, P., Coello Coello, C.A. (Eds.)

  • Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
  • Results of EVOLVE 2013 conference held July 11-13 2013 at Leiden, the Netherlands
  • Written by experts in the field
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eBook $229.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-319-01128-8
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Softcover $299.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-319-01127-1
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About this book

Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering.  Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.

These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.

Table of contents (20 chapters)

  • Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation

    Li, Weiqi

    Pages 1-15

  • Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle

    Aldana-Bobadilla, Edwin (et al.)

    Pages 17-30

  • Training Multilayer Perceptron by Conformal Geometric Evolutionary Algorithm

    Serrano, J. P. (et al.)

    Pages 31-45

  • RotaSVM: A New Ensemble Classifier

    Bhowmick, Shib Sankar (et al.)

    Pages 47-57

  • Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation

    Govan, Gordon (et al.)

    Pages 59-73

Buy this book

eBook $229.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-319-01128-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $299.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-319-01127-1
  • 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
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
Book Subtitle
International Conference Held at Leiden University, July 10-13, 2013
Editors
  • Michael Emmerich
  • Andre Deutz
  • Oliver Schuetze
  • Thomas Bäck
  • Emilia Tantar
  • Alexandru-Adrian Tantar
  • Pierre Del Moral
  • Pierrick Legrand
  • Pascal Bouvry
  • Carlos A. Coello Coello
Series Title
Advances in Intelligent Systems and Computing
Series Volume
227
Copyright
2013
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-01128-8
DOI
10.1007/978-3-319-01128-8
Softcover ISBN
978-3-319-01127-1
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XIV, 324
Number of Illustrations and Tables
140 b/w illustrations
Topics