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Evolutionary Multi-Criterion Optimization

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

  • Conference proceedings
  • © 2007

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Editors:
  1. Shigeru Obayashi
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  2. Kalyanmoy Deb
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  3. Carlo Poloni
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  4. Tomoyuki Hiroyasu
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  5. Tadahiko Murata
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4403)

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

Included in the following conference series:

Conference proceedings info: EMO 2007.

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Table of contents (69 papers)

  1. Front Matter

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  3. Algorithm Design

    1. Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs

      • Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
      Pages 5-20

    2. Designing Multi-objective Variation Operators Using a Predator-Prey Approach

      • Christian Grimme, Joachim Lepping
      Pages 21-35

    3. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets

      • Günter Rudolph, Boris Naujoks, Mike Preuss
      Pages 36-50

    4. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization

      • Hisao Ishibuchi, Yusuke Nojima
      Pages 51-65

    5. Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms

      • Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall
      Pages 66-80

    6. Multiobjective Evolutionary Algorithms on Complex Networks

      • Michael Kirley, Robert Stewart
      Pages 81-95

    7. On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization

      • Pradyumn Kumar Shukla
      Pages 96-110

  4. Algorithm Improvements

    1. Symbolic Archive Representation for a Fast Nondominance Test

      • Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich
      Pages 111-125

    2. Design Issues in a Multiobjective Cellular Genetic Algorithm

      • Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba
      Pages 126-140

    3. FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems

      • Hamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont
      Pages 141-155

    4. Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator

      • Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
      Pages 156-170

    5. Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES

      • Christian Igel, Thorsten Suttorp, Nikolaus Hansen
      Pages 171-185

    6. A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers

      • Mark P. Kleeman, Gary B. Lamont, Adam Cooney, Thomas R. Nelson
      Pages 186-200

    7. Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems

      • Tadahiko Murata, Ryota Itai
      Pages 201-215

    8. Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network

      • Kenji Kobayashi, Tomoyuki Hiroyasu, Mitsunori Miki
      Pages 216-226
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  1. Evolutionary Multi-Criterion Optimization

Keywords

About this book

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.

Bibliographic Information

  • Book Title: Evolutionary Multi-Criterion Optimization

  • Book Subtitle: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings

  • Editors: Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-540-70928-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Softcover ISBN: 978-3-540-70927-5Published: 12 February 2007

  • eBook ISBN: 978-3-540-70928-2Published: 20 May 2007

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIX, 954

  • Topics: Algorithm Analysis and Problem Complexity, Numeric Computing, Artificial Intelligence

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