© 2009

Evolutionary Multi-Criterion Optimization

5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings

  • Matthias Ehrgott
  • Carlos M. Fonseca
  • Xavier Gandibleux
  • Jin-Kao Hao
  • Marc Sevaux
Conference proceedings EMO 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5467)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Manuel Laguna
      Pages 1-1
    2. Thomas Stützle
      Pages 2-2
    3. Pascal Van Hentenryck
      Pages 3-3
    4. Kathrin Klamroth
      Pages 4-4
  3. Theoretical Analysis

    1. Nicola Beume, Boris Naujoks, Mike Preuss, Günter Rudolph, Tobias Wagner
      Pages 21-35
  4. Uncertainty and Noise

    1. Joshua Knowles, David Corne, Alan Reynolds
      Pages 36-50
    2. Daniel E. Salazar Aponte, Claudio M. Rocco S., Blas Galván
      Pages 51-65
  5. Algorithm Development

    1. Ricardo H. C. Takahashi, Frederico G. Guimarães, Elizabeth F. Wanner, Eduardo G. Carrano
      Pages 66-80
    2. Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael Emmerich
      Pages 95-109
    3. Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Miki, Hisatake Yokouchi
      Pages 125-139
    4. Johannes Bader, Dimo Brockhoff, Samuel Welten, Eckart Zitzler
      Pages 140-154
    5. Thomas Voß, Nikolaus Hansen, Christian Igel
      Pages 155-168
  6. Performance Analysis and Comparison

About these proceedings


This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009.

The 39 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on theoretical analysis, uncertainty and noise, algorithm development, performance analysis and comparison, applications, MCDM Track, Many objectives, alternative methods, as well as EMO and MCDA.


adaptive search algorithm algorithm design algorithmics algorithms ant colony optimization approximation boundary solution computational acoustics constraint solving decision making differential evolution evolution optimization uncertainty

Editors and affiliations

  • Matthias Ehrgott
    • 1
  • Carlos M. Fonseca
    • 2
  • Xavier Gandibleux
    • 3
  • Jin-Kao Hao
    • 4
  • Marc Sevaux
    • 5
  1. 1.Department of Engineering ScienceThe University of AucklandAucklandNew Zealand
  2. 2.Faculty of Science and Technolgoy, Department of Electronic Engineering and InformaticsUniversidade do AlgarveFaroPortugal
  3. 3.Laboratoire d’ Informatique de Nantes -LINA, UMR CNRS 6241Université de NantesNantes Cedex 03France
  4. 4.LERIA, Faculty of SciencesUniversité d’AngersAngers Cedex 01France
  5. 5.Université de Bretagne-sud - UEB CNRS, UMR 3192 - Lab-STICC, Centre de Recherche,Lorient CedexFrance

Bibliographic information