Studies in Computational Intelligence

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

Editors: Schuetze, O., Coello Coello, C.A., Tantar, A.-A., Tantar, E., Bouvry, P., Moral, P.D., Legrand, P. (Eds.)

  • Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
  • Results of the EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation meeting held 2012 in Mexico City
  • Written by experts in the field
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About this book

This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects.

The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains.

Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal.

Table of contents (11 chapters)

  • Effective Structure Learning in Bayesian Network Based EDAs

    Valdez, S. Ivvan (et al.)

    Pages 3-30

  • Optimization by Structure Learning during Algorithm Execution Using an Adaptive Extended Tree Cliqued – EDA (AETC – EDA)

    Ponce-de-Leon-Senti, Eunice Esther (et al.)

    Pages 31-52

  • Support Tool for a Bayesian Network Based Critical Infrastructure Risk Model

    Schaberreiter, Thomas (et al.)

    Pages 53-75

  • Challenges on Probabilistic Modeling for Evolving Networks

    Ding, Jianguo (et al.)

    Pages 77-93

  • Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming

    Olague, Gustavo (et al.)

    Pages 97-119

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-01460-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-01459-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-3-319-03363-1
  • 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 III
Editors
  • Oliver Schuetze
  • Carlos A. Coello Coello
  • Alexandru-Adrian Tantar
  • Emilia Tantar
  • Pascal Bouvry
  • Pierre Del Moral
  • Pierrick Legrand
Series Title
Studies in Computational Intelligence
Series Volume
500
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-01460-9
DOI
10.1007/978-3-319-01460-9
Hardcover ISBN
978-3-319-01459-3
Softcover ISBN
978-3-319-03363-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVIII, 259
Topics