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Evolutionary Multi-Criterion Optimization

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

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Matthias Ehrgott

    1. Department of Engineering Science, The University of Auckland, Auckland, New Zealand

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  2. Carlos M. Fonseca

    1. Faculty of Science and Technolgoy, Department of Electronic Engineering and Informatics, Universidade do Algarve, Faro, Portugal

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  3. Xavier Gandibleux

    1. Laboratoire d’ Informatique de Nantes -LINA, UMR CNRS 6241, Université de Nantes, Nantes Cedex 03, France

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  4. Jin-Kao Hao

    1. LERIA, Faculty of Sciences, Université d’Angers, Angers Cedex 01, France

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  5. Marc Sevaux

    1. Université de Bretagne-sud - UEB CNRS, UMR 3192 - Lab-STICC, Centre de Recherche,, Lorient Cedex, France

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

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EMO 2009.

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Table of contents (44 papers)

  1. Front Matter

    Download chapter PDF

  2. Invited Talks

    1. Scatter Search and Path Relinking

      • Manuel Laguna
      Pages 1-1

    2. Ant Colony Optimization

      • Thomas Stützle
      Pages 2-2

    3. Constraint Programming

      • Pascal Van Hentenryck
      Pages 3-3

    4. Discrete Multiobjective Optimization

      • Kathrin Klamroth
      Pages 4-4

    5. Preference Models Used in Multiple Criteria Decision Making: Foundations and Assessment

      • Denis Bouyssou
      Pages 5-5

  3. Theoretical Analysis

    1. Approximating the Least Hypervolume Contributor: NP-Hard in General, But Fast in Practice

      • Karl Bringmann, Tobias Friedrich
      Pages 6-20

    2. Effects of 1-Greedy \(\mathcal{S}\)-Metric-Selection on Innumerably Large Pareto Fronts

      • Nicola Beume, Boris Naujoks, Mike Preuss, Günter Rudolph, Tobias Wagner
      Pages 21-35

  4. Uncertainty and Noise

    1. Noisy Multiobjective Optimization on a Budget of 250 Evaluations

      • Joshua Knowles, David Corne, Alan Reynolds
      Pages 36-50

    2. On Uncertainty and Robustness in Evolutionary Optimization-Based MCDM

      • Daniel E. Salazar Aponte, Claudio M. Rocco S., Blas Galván
      Pages 51-65

  5. Algorithm Development

    1. Feedback-Control Operators for Evolutionary Multiobjective Optimization

      • Ricardo H. C. Takahashi, Frederico G. Guimarães, Elizabeth F. Wanner, Eduardo G. Carrano
      Pages 66-80

    2. A Diversity Management Operator for Evolutionary Many-Objective Optimisation

      • Salem F. Adra, Peter J. Fleming
      Pages 81-94

    3. Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms

      • Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael Emmerich
      Pages 95-109

    4. Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms

      • Kalyanmoy Deb, Ankur Sinha
      Pages 110-124

    5. Application of MOGA Search Strategy to SVM Training Data Selection

      • Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Miki, Hisatake Yokouchi
      Pages 125-139

    6. On Using Populations of Sets in Multiobjective Optimization

      • Johannes Bader, Dimo Brockhoff, Samuel Welten, Eckart Zitzler
      Pages 140-154

    7. Recombination for Learning Strategy Parameters in the MO-CMA-ES

      • Thomas Voß, Nikolaus Hansen, Christian Igel
      Pages 155-168

  6. Performance Analysis and Comparison

    1. Multi-Objective Optimisation Problems: A Symbolic Algorithm for Performance Measurement of Evolutionary Computing Techniques

      • Sameh Askar, Ashutosh Tiwari
      Pages 169-182

    2. On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms

      • Juan J. Durillo, Antonio J. Nebro, Francisco Luna, Enrique Alba
      Pages 183-197

    3. OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing

      • Tobias Wagner, Heike Trautmann, Boris Naujoks
      Pages 198-215
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Other volumes

  1. Evolutionary Multi-Criterion Optimization

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About this book

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.

Editors and Affiliations

  • Department of Engineering Science, The University of Auckland, Auckland, New Zealand

    Matthias Ehrgott

  • Faculty of Science and Technolgoy, Department of Electronic Engineering and Informatics, Universidade do Algarve, Faro, Portugal

    Carlos M. Fonseca

  • Laboratoire d’ Informatique de Nantes -LINA, UMR CNRS 6241, Université de Nantes, Nantes Cedex 03, France

    Xavier Gandibleux

  • LERIA, Faculty of Sciences, Université d’Angers, Angers Cedex 01, France

    Jin-Kao Hao

  • Université de Bretagne-sud - UEB CNRS, UMR 3192 - Lab-STICC, Centre de Recherche,, Lorient Cedex, France

    Marc Sevaux

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