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Evolutionary Multi-Criterion Optimization

Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Carlos M. Fonseca

    1. Faculty of Sciences and Technology, Centre for Intelligent Systems, University of the Algarve, Faro, Portugal

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  2. Peter J. Fleming

    1. Department of Automatic Control and Systems Engineering, University of Sheffield, UK

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  3. Eckart Zitzler

    1. Department of Electrical Engineering, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland

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  4. Lothar Thiele

    1. Department of Electrical Engineering, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland

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  5. Kalyanmoy Deb

    1. Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, Kanpur, UP, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2632)

Included in the following conference series:

Conference proceedings info: EMO 2003.

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Table of contents (56 papers)

  1. Front Matter

    Pages I-XV
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  2. Objective Handling and Problem Decomposition

    1. The Maximin Fitness Function; Multi-objective City and Regional Planning

      • Richard Balling
      Pages 1-15

    2. Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation

      • Robin C. Purshouse, Peter J. Fleming
      Pages 16-30

    3. Is Fitness Inheritance Useful for Real-World Applications?

      • Els Ducheyne, Bernard De Baets, Robert De Wulf
      Pages 31-42

    4. Use of a Genetic Heritage for Solving the Assignment Problem with Two Objectives

      • Xavier Gandibleux, Hiroyuki Morita, Naoki Katoh
      Pages 43-57

    5. Fuzzy Optimality and Evolutionary Multiobjective Optimization

      • M. Farina, P. Amato
      Pages 58-72

    6. IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts

      • Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
      Pages 73-87

    7. A Population and Interval Constraint Propagation Algorithm

      • Vincent Barichard, Jin-Kao Hao
      Pages 88-101

    8. Multi-objective Binary Search Optimisation

      • Evan J. Hughes
      Pages 102-117

    9. Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques

      • Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich
      Pages 118-132

    10. An Adaptive Divide-and-Conquer Methodology for Evolutionary Multi-criterion Optimisation

      • Robin C. Purshouse, Peter J. Fleming
      Pages 133-147

    11. Multi-level Multi-objective Genetic Algorithm Using Entropy to Preserve Diversity

      • S. Gunawan, A. Farhang-Mehr, S. Azarm
      Pages 148-161

    12. Solving Hierarchical Optimization Problems Using MOEAs

      • Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi
      Pages 162-176

    13. Multiobjective Meta Level Optimization of a Load Balancing Evolutionary Algorithm

      • David J. Caswell, Gary B. Lamont
      Pages 177-191

  3. Algorithm Improvements

    1. Schemata-Driven Multi-objective Optimization

      • Skander Kort
      Pages 192-206

    2. A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization

      • Xiaodong Li
      Pages 207-221

    3. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions

      • Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra
      Pages 222-236

    4. Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach

      • Yaochu Jin, Bernhard Sendhoff
      Pages 237-251

  4. Online Adaptation

    1. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization

      • Gregorio Toscano Pulido, Carlos A. Coello Coello
      Pages 252-266

    2. Self-Adaptation for Multi-objective Evolutionary Algorithms

      • Dirk Büche, Sibylle Müller, Petros Koumoutsakos
      Pages 267-281
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  1. Evolutionary Multi-Criterion Optimization

Keywords

Editors and Affiliations

  • Faculty of Sciences and Technology, Centre for Intelligent Systems, University of the Algarve, Faro, Portugal

    Carlos M. Fonseca

  • Department of Automatic Control and Systems Engineering, University of Sheffield, UK

    Peter J. Fleming

  • Department of Electrical Engineering, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland

    Eckart Zitzler, Lothar Thiele

  • Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, Kanpur, UP, India

    Kalyanmoy Deb

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