Evolutionary Multi-Criterion Optimization

4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007. Proceedings

  • Editors
  • Shigeru Obayashi
  • Kalyanmoy Deb
  • Carlo Poloni
  • Tomoyuki Hiroyasu
  • Tadahiko Murata
Conference proceedings EMO 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4403)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Algorithm Design

    1. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
      Pages 5-20
    2. Günter Rudolph, Boris Naujoks, Mike Preuss
      Pages 36-50
    3. Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall
      Pages 66-80
    4. Michael Kirley, Robert Stewart
      Pages 81-95
  4. Algorithm Improvements

    1. Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich
      Pages 111-125
    2. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba
      Pages 126-140
    3. Hamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont
      Pages 141-155
    4. Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
      Pages 156-170
    5. Christian Igel, Thorsten Suttorp, Nikolaus Hansen
      Pages 171-185
    6. Mark P. Kleeman, Gary B. Lamont, Adam Cooney, Thomas R. Nelson
      Pages 186-200

About these proceedings

Introduction

Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. The 4th International Conference on Evolutionary Multi-criterion Optimization (EMO2007) was held during March 5–8, 2007, in Matsushima/Sendai, Japan. This was the fourth international conference dedicated entirely to this important topic, following the successful EMO 2001, EMO 2003 and EMO 2005 conferences, which were held in Zürich, Switzerland in March 2001, in Faro, Portugal in April 2003, and in Guanajuato, México in March 2005. EMO2007 was hosted by the Institute of Fluid Science, Tohoku University. EMO2007 was co-hosted by the Graduate School of Information Sciences, Tohoku University, the Japan Aerospace Exploration Agency (JAXA), and the Policy Grid Computing Laboratory, Kansai University. The EMO2007 scientific program included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.

Keywords

adaptive search algorithm design algorithmics algorithms approximation automata classification constraint solving evolutionary algorithm genetic programming heuristics metaheuristics optimization programming visualization

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70928-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-70927-5
  • Online ISBN 978-3-540-70928-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book