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

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

  • Michael Emmerich
  • Andre Deutz
  • Oliver Schuetze
  • Thomas Bäck
  • Emilia Tantar
  • Alexandru-Adrian Tantar
  • Pierre Del Moral
  • Pierrick Legrand
  • Pascal Bouvry
  • Carlos A. Coello

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 227)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Edwin Aldana-Bobadilla, Angel Kuri-Morales
    Pages 17-30
  3. J. P. Serrano, Arturo Hernández, Rafael Herrera
    Pages 31-45
  4. Shib Sankar Bhowmick, Indrajit Saha, Luis Rato, Debotosh Bhattacharjee
    Pages 47-57
  5. Gordon Govan, Jakub Chlanda, David Corne, Alex Xenos, Pierluigi Frisco
    Pages 59-73
  6. Vasileios A. Tatsis, Konstantinos E. Parsopoulos, Konstantina Skouri, Ioannis Konstantaras
    Pages 107-121
  7. Iris Hupkens, Michael Emmerich
    Pages 155-169
  8. Víctor Adrián Sosa Hernández, Oliver Schütze, Günter Rudolph, Heike Trautmann
    Pages 189-205
  9. Yousef Naranjani, Carlos Hernández, Fu-Rui Xiong, Oliver Schütze, Jian-Qiao Sun
    Pages 207-223
  10. Apolinar Velarde, Eunice Ponce de León, Elva Diaz, Alejandro Padilla
    Pages 225-244
  11. Rajesh Kudikala, Andrew R. Mills, Peter J. Fleming, Graham F. Tanner, Jonathan E. Holt
    Pages 245-260
  12. John M. Oliver, Timoleon Kipouros, A. Mark Savill
    Pages 261-276
  13. Hitoshi Araseki
    Pages 277-291
  14. Leonardo Trujillo, Enrique Naredo, Yuliana Martínez
    Pages 293-305

About these proceedings

Introduction

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.

Keywords

EVOLVE 2013 Evolutionary Computation Intelligent Computing Probability Set Oriented Numerics

Editors and affiliations

  • Michael Emmerich
    • 1
  • Andre Deutz
    • 2
  • Oliver Schuetze
    • 3
  • Thomas Bäck
    • 4
  • Emilia Tantar
    • 5
  • Alexandru-Adrian Tantar
    • 6
  • Pierre Del Moral
    • 7
  • Pierrick Legrand
    • 8
  • Pascal Bouvry
    • 9
  • Carlos A. Coello
    • 10
  1. 1., Leiden Institute of AdvancedLeiden UniversityLeidenNetherlands
  2. 2., Leiden Institute of AdvancedLeiden UniversityLeidenNetherlands
  3. 3., Depto. de ComputacionCINVESTAV-IPNMexicoMexico
  4. 4., Leiden Institute of AdvancedLeiden UniversityLeidenNetherlands
  5. 5., Luxembourg Centre forUniversity of LuxembourgBelvalLuxembourg
  6. 6., Computer Science andUniversity of LuxembourgLuxembourgLuxembourg
  7. 7., Bordeaux Mathematical InstituteUniversité Bordeaux ITalence cedexFrance
  8. 8., UFR Sciences et ModélisationUniversité Bordeaux SegalenBordeauxFrance
  9. 9.Faculty of Sci., Tech. & Communication, Computer Science andUniversity of LuxembourgLuxembourgLuxembourg
  10. 10., Depto. de ComputatciónCINVESTAV-IPNMexicoMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01128-8
  • Copyright Information Springer International Publishing Switzerland 2013
  • Publisher Name Springer, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-319-01127-1
  • Online ISBN 978-3-319-01128-8
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book