Evolutionary Multi-Criterion Optimization

7th International Conference, EMO 2013, Sheffield, UK, March 19-22, 2013. Proceedings

  • Robin C. Purshouse
  • Peter J. Fleming
  • Carlos M. Fonseca
  • Salvatore Greco
  • Jane Shaw

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7811)

Table of contents

  1. Front Matter
  2. Plenary Talks

  3. New Horizons

    1. Shaul Salomon, Gideon Avigad, Peter J. Fleming, Robin C. Purshouse
      Pages 21-35
    2. M. R. Khouadjia, M. Schoenauer, V. Vidal, J. Dréo, P. Savéant
      Pages 36-50
    3. Osama Khalifa, David Wolfe Corne, Mike Chantler, Fraser Halley
      Pages 51-65
  4. Indicator-Based Methods

    1. Pradyumn Kumar Shukla, Marlon Alexander Braun
      Pages 66-80
    2. Tobias Wagner, Heike Trautmann, Dimo Brockhoff
      Pages 81-95
    3. Leonard Judt, Olaf Mersmann, Boris Naujoks
      Pages 96-110
    4. Michael Emmerich, André Deutz, Johannes Kruisselbrink, Pradyumn Kumar Shukla
      Pages 111-127
  5. Aspects of Algorithm Design

    1. Hans J. F. Moen, Nikolai B. Hansen, Harald Hovland, Jim Tørresen
      Pages 128-142
    2. Miqing Li, Shengxiang Yang, Xiaohui Liu, Kang Wang
      Pages 143-155
    3. Pradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck
      Pages 156-170
    4. Kyle Robert Harrison, Beatrice Ombuki-Berman, Andries P. Engelbrecht
      Pages 171-184
    5. Rong-Qiang Zeng, Matthieu Basseur, Jin-Kao Hao
      Pages 185-199
    6. Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi
      Pages 200-214
    7. Adriana Menchaca-Mendez, Carlos A. Coello Coello
      Pages 215-229

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2013 held in Sheffield, UK, in March 2013. The 57 revised full papers presented were carefully reviewed and selected from 98 submissions. The papers are grouped in topical sections on plenary talks; new horizons; indicator-based methods; aspects of algorithm design; pareto-based methods; hybrid MCDA; decomposition-based methods; classical MCDA; exploratory problem analysis; product and process applications; aerospace and automotive applications; further real-world applications; and under-explored challenges.

Keywords

evolutionary algorithms multi-objective optimization multiple criteria decision making preference models uncertainty

Editors and affiliations

  • Robin C. Purshouse
    • 1
  • Peter J. Fleming
    • 2
  • Carlos M. Fonseca
    • 3
  • Salvatore Greco
    • 4
  • Jane Shaw
    • 5
  1. 1.Department of Automatic Control and Systems EngineeringUniversity of SheffieldSheffieldUK
  2. 2.Department of Automatic Control Systems and EngineeringUniversity of SheffieldSheffieldUK
  3. 3.Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  4. 4.Department of Economics and BusinessUniversity of CataniaCataniaItaly
  5. 5.Unilever Research & Development Port SunlightMerseysideUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37140-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37139-4
  • Online ISBN 978-3-642-37140-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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