Genetic and Evolutionary Computation – GECCO 2004

Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I

  • Kalyanmoy Deb
Conference proceedings GECCO 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3102)

Table of contents

  1. Front Matter
  2. A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization

    1. Adrian Agogino, Kagan Tumer
      Pages 1-11
    2. Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O’Neill, Robin Matthews, Ernesto Costa
      Pages 12-23
    3. Thang N. Bui, Joseph R. Rizzo Jr.
      Pages 24-35
    4. Thang N. Bui, Gnanasekaran Sundarraj
      Pages 36-47
    5. Darren M. Chitty, Marcel L. Hernandez
      Pages 48-59
    6. David Cornforth, Michael Kirley
      Pages 60-71
    7. Keith L. Downing
      Pages 81-92
    8. T. Kowaliw, P. Grogono, N. Kharma
      Pages 93-104
    9. Christopher K. Monson, Kevin D. Seppi
      Pages 140-150
    10. Tadashi Nakano, Tatsuya Suda
      Pages 151-162
    11. Michael O’Neill, Anthony Brabazon
      Pages 163-174
    12. Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Chabrier, Pierre Collet
      Pages 175-187
    13. Yann Semet, Una-May O’Reilly, Frédo Durand
      Pages 188-200

Other volumes

  1. Genetic and Evolutionary Computation – GECCO 2004
    Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I
  2. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part II

About these proceedings

Introduction

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004.

The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

Keywords

biologically-inspired computing coevolution evolutionary algorithms evolutionary computing evolutionary optimization evolutionary programming evolutionary robotics evolutionary strategies evolvable systems g genetic algorithms genetic computing

Editors and affiliations

  • Kalyanmoy Deb
    • 1
  1. 1.Indian Institute of Technology Kanpur, Department of Mechanical EngineeringKanpur Genetic Algorithms Laboratory (KanGAL)KanpurIndia

Bibliographic information

  • DOI https://doi.org/10.1007/b98643
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22344-3
  • Online ISBN 978-3-540-24854-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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