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

  • Oliver Schuetze
  • Carlos A. Coello Coello
  • Alexandru-Adrian Tantar
  • Emilia Tantar
  • Pascal Bouvry
  • Pierre Del Moral
  • Pierrick Legrand
Part of the Studies in Computational Intelligence book series (SCI, volume 500)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Probabilistic Modeling

    1. Front Matter
      Pages 1-1
    2. S. Ivvan Valdez, Arturo Hernández, Salvador Botello
      Pages 3-30
    3. Thomas Schaberreiter, Pascal Bouvry, Juha Röning, Djamel Khadraoui
      Pages 53-75
    4. Jianguo Ding, Pascal Bouvry
      Pages 77-93
  3. Evolutionary Computation for Vision, Graphics, and Robotics

    1. Front Matter
      Pages 95-95
    2. Gustavo Olague, Eddie Clemente, León Dozal, Daniel E. Hernández
      Pages 97-119
    3. Daniel E. Hernández, Gustavo Olague, Eddie Clemente, León Dozal
      Pages 121-140
    4. Gustavo Olague, León Dozal, Eddie Clemente, Arturo Ocampo
      Pages 141-166
  4. Multi-objective Optimization

    1. Front Matter
      Pages 167-167
    2. Michael Emmerich, André Deutz
      Pages 169-193
    3. Oluwatosin Olofintoye, Josiah Adeyemo, Fred Otieno
      Pages 213-231
    4. Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Freitas, Alex Goldvard, Oliver Schütze et al.
      Pages 233-259
  5. Back Matter
    Pages 261-261

About these proceedings

Introduction

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.

Keywords

Computational Intelligence Evolutionary Computing Evolve 2012 Probability Set Oriented Numerics

Editors and affiliations

  • Oliver Schuetze
    • 1
  • Carlos A. Coello Coello
    • 2
  • Alexandru-Adrian Tantar
    • 3
  • Emilia Tantar
    • 4
  • Pascal Bouvry
    • 5
  • Pierre Del Moral
    • 6
  • Pierrick Legrand
    • 7
  1. 1., Depto. de ComputacionCINVESTAV-IPNMexicoMexico
  2. 2., Depto. de ComputatciónCINVESTAV-IPNMexicoMexico
  3. 3., Computer Science andUniversity of LuxembourgLuxembourgLuxembourg
  4. 4., Luxembourg Centre forUniversity of LuxembourgBelvalLuxembourg
  5. 5., Faculty of Sci., Tech. & CommunicationUniversity of LuxembourgLuxembourgLuxembourg
  6. 6., Bordeaux Mathematical InstituteUniversité Bordeaux ITalence cedexFrance
  7. 7., UFR Sciences et ModélisationUniversité Bordeaux SegalenBordeauxFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01460-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-319-01459-3
  • Online ISBN 978-3-319-01460-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book