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Genetic and Evolutionary Computation - GECCO 2003

Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003, Proceedings, Part I

  • Conference proceedings
  • © 2003

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Editors:
  1. Erick Cantú-Paz

    1. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing (CASC), Livermore, USA

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  2. James A. Foster
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  3. Kalyanmoy Deb
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  4. Lawrence David Davis
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  5. Rajkumar Roy
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  6. Una-May O’Reilly
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  7. Hans-Georg Beyer
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  8. Russell Standish
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  9. Graham Kendall
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  10. Stewart Wilson
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  11. Mark Harman
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  12. Joachim Wegener
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  13. Dipankar Dasgupta
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  14. Mitch A. Potter
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  15. Alan C. Schultz
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  16. Kathryn A. Dowsland
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  17. Natasha Jonoska
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  18. Julian Miller
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2723)

Included in the following conference series:

Conference proceedings info: GECCO 2003.

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Table of contents (130 papers)

  1. Genetic Algorithms

    1. Problem-Independent Schema Synthesis for Genetic Algorithms

      • Yong-Hyuk Kim, Yung-Keun Kwon, Byung-Ro Moon
      Pages 1112-1122

    2. Investigation of the Fitness Landscapes and Multi-parent Crossover for Graph Bipartitioning

      • Yong-Hyuk Kim, Byung-Ro Moon
      Pages 1123-1135

    3. New Usage of Sammon’s Mapping for Genetic Visualization

      • Yong-Hyuk Kim, Byung-Ro Moon
      Pages 1136-1147

    4. Exploring a Two-Population Genetic Algorithm

      • Steven Orla Kimbrough, Ming Lu, David Harlan Wood, D. J. Wu
      Pages 1148-1159

    5. Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization

      • Kwong-Sak Leung, Yong Liang
      Pages 1160-1171

    6. Wise Breeding GA via Machine Learning Techniques for Function Optimization

      • Xavier Llorà, David E. Goldberg
      Pages 1172-1183

    7. Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic

      • Flaviu Adrian Mărginean
      Pages 1184-1195

    8. Comparing Evolutionary Computation Techniques via Their Representation

      • Boris Mitavskiy
      Pages 1196-1209

    9. Dispersion-Based Population Initialization

      • Ronald W. Morrison
      Pages 1210-1221

    10. A Parallel Genetic Algorithm Based on Linkage Identification

      • Masaharu Munetomo, Naoya Murao, Kiyoshi Akama
      Pages 1222-1233

    11. Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms

      • Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
      Pages 1234-1245

  2. Back Matter

    Pages 1246-1251
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Other volumes

  1. Genetic and Evolutionary Computation — GECCO 2003

  2. Genetic and Evolutionary Computation — GECCO 2003

Keywords

Editors and Affiliations

  • Lawrence Livermore National Laboratory, Center for Applied Scientific Computing (CASC), Livermore, USA

    Erick Cantú-Paz

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