Advertisement

© 2004

Genetic and Evolutionary Computation – GECCO 2004

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

  • Kalyanmoy Deb
Conference proceedings GECCO 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3103)

Table of contents

  1. Front Matter
  2. Genetic Algorithms (Continued)

    1. Marco Antonio Paz-Ramos, Jose Torres-Jimenez, Enrique Quintero-Marmol-Marquez, Hugo Estrada-Esquivel
      Pages 1-10
    2. Gerulf K. M. Pedersen, David E. Goldberg
      Pages 11-23
    3. Martin Pelikan, Tz-Kai Lin
      Pages 24-35
    4. Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet
      Pages 36-47
    5. Martin Pelikan, Kumara Sastry
      Pages 48-59
    6. Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen
      Pages 69-81
    7. Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Julstrom
      Pages 82-89
    8. Eduardo Rodriguez-Tello, Jose Torres-Jimenez
      Pages 102-113
    9. Kumara Sastry, David E. Goldberg
      Pages 126-137
    10. Dong-Il Seo, Sung-Soon Choi, Byung-Ro Moon
      Pages 150-161
    11. Weiguo Sheng, Allan Tucker, Xiaohui Liu
      Pages 162-173
    12. Hal Stringer, Annie S. Wu
      Pages 198-209

Other volumes

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

Hardware algorithms genetic algorithms genetic programming learning optimization programming robot robotics

Editors and affiliations

  • Kalyanmoy Deb
    • 1
  1. 1.Indian Institute of Technology Kanpur, Department of Mechanical EngineeringKanpur Genetic Algorithms Laboratory (KanGAL)208016India

Bibliographic information