Evolutionary Multi-Criterion Optimization

6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings

  • Ricardo H. C. Takahashi
  • Kalyanmoy Deb
  • Elizabeth F. Wanner
  • Salvatore Greco

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6576)

Table of contents

  1. Front Matter
  2. Theoretical Issues

    1. Tobias Wagner, Heike Trautmann, Luis Martí
      Pages 16-30
    2. Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
      Pages 31-45
    3. Manuel López-Ibáñez, Joshua Knowles, Marco Laumanns
      Pages 46-60
    4. Ricardo H. C. Takahashi, Eduardo G. Carrano, Elizabeth F. Wanner
      Pages 61-75
    5. Lucas S. Batista, Felipe Campelo, Frederico G. Guimarães, Jaime A. Ramírez
      Pages 76-90
    6. Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
      Pages 91-105
    7. Carlos M. Fonseca, Andreia P. Guerreiro, Manuel López-Ibáñez, Luís Paquete
      Pages 106-120
    8. Robin C. Purshouse, Cezar Jalbă, Peter J. Fleming
      Pages 136-150
    9. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre, Kiyoshi Tanaka
      Pages 151-165
    10. Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima
      Pages 166-181
    11. Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari
      Pages 197-211
  3. Algorithms

    1. Karthik Sindhya, Ana Belen Ruiz, Kaisa Miettinen
      Pages 212-225
    2. Marlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck
      Pages 226-240
    3. Salvatore Greco, Benedetto Matarazzo, Roman Słowiński
      Pages 241-253

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2011, held in Ouro Preto, Brazil, in April 2011. The 42 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers deal with fundamental questions of EMO theory, such as the development of algorithmically efficient tools for the evaluation of solution-set quality , the theoretical questions related to solution archiving and others. They report on the continuing effort in the development of algorithms, either for dealing with particular classes of problems or for new forms of processing the problem information. Almost one third of the papers is related to EMO applications in a diversity of fields. Eleven papers are devoted to promote the interaction with the related field of Multi-Criterion Decision Making (MCDM).

Keywords

adaptive search artificial immune systems computational intelligence dynamic optimization evolutionary algorithms genetic algorithms heuristics interactive algorithms mixed-integer optimization objectives correlation online algorithms pareto-optimal solutions preference-driven algorithms probabilistic modeling rough sets variable preference modeling

Editors and affiliations

  • Ricardo H. C. Takahashi
    • 1
  • Kalyanmoy Deb
    • 2
  • Elizabeth F. Wanner
    • 3
  • Salvatore Greco
    • 4
  1. 1.Department of MathematicsFederal University of Minas GeraisBelo HorizonteBrazil
  2. 2.Department of Mechanical EngineeringIndian Institute of Technology KanpurKanpurIndia
  3. 3.Department of Computer EngineeringCentro Federal de Educaçao Tecnológica de Minas GeraisBelo HorizonteBrazil
  4. 4.Faculty of EconomicsUniversity of CataniaCataniaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19893-9
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-19892-2
  • Online ISBN 978-3-642-19893-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book