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Genetic and Evolutionary Computation — GECCO 2004

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

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Kalyanmoy Deb

    1. Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), Kanpur, India

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

Included in the following conference series:

Conference proceedings info: GECCO 2004.

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About this book

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.

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Keywords

Table of contents (135 papers)

  1. Evolution Strategies/Evolutionary Programming – Posters

    1. A Comparison of Several Algorithms and Representations for Single Objective Optimization

      • Crina Grosan
      Pages 788-789

    2. Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms

      • Wilfried Jakob, Christian Blume, Georg Bretthauer
      Pages 790-791

  2. Evolvable Hardware

    1. High Temperature Experiments for Circuit Self-Recovery

      • Didier Keymeulen, Ricardo Zebulum, Vu Duong, Xin Guo, Ian Ferguson, Adrian Stoica
      Pages 792-803

    2. The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment

      • John Rieffel, Jordan Pollack
      Pages 804-815

    3. A Reconfigurable Chip for Evolvable Hardware

      • Yann Thoma, Eduardo Sanchez
      Pages 816-827

  3. Genetic Algorithms

    1. Experimental Evaluation of Discretization Schemes for Rule Induction

      • Jesus Aguilar-Ruiz, Jaume Bacardit, Federico Divina
      Pages 828-839

    2. Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World

      • Chang Wook Ahn, R. S. Ramakrishna, David E. Goldberg
      Pages 840-851

    3. Training Neural Networks with GA Hybrid Algorithms

      • Enrique Alba, J. Francisco Chicano
      Pages 852-863

    4. Growth Curves and Takeover Time in Distributed Evolutionary Algorithms

      • Enrique Alba, Gabriel Luque
      Pages 864-876

    5. Simultaneity Matrix for Solving Hierarchically Decomposable Functions

      • Chatchawit Aporntewan, Prabhas Chongstitvatana
      Pages 877-888

    6. Metaheuristics for Natural Language Tagging

      • Lourdes Araujo, Gabriel Luque, Enrique Alba
      Pages 889-900

    7. An Effective Real-Parameter Genetic Algorithm with Parent Centric Normal Crossover for Multimodal Optimisation

      • Pedro J. Ballester, Jonathan N. Carter
      Pages 901-913

    8. Looking Under the EA Hood with Price’s Equation

      • Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
      Pages 914-922

    9. Distribution of Evolutionary Algorithms in Heterogeneous Networks

      • Jürgen Branke, Andreas Kamper, Hartmut Schmeck
      Pages 923-934

    10. A Statistical Model of GA Dynamics for the OneMax Problem

      • Bulent Buyukbozkirli, Erik D. Goodman
      Pages 935-946

    11. Adaptive Sampling for Noisy Problems

      • Erick Cantú-Paz
      Pages 947-958

    12. Feature Subset Selection, Class Separability, and Genetic Algorithms

      • Erick Cantú-Paz
      Pages 959-970

    13. Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm

      • Ying-ping Chen, David E. Goldberg
      Pages 971-982

    14. Interactive One-Max Problem Allows to Compare the Performance of Interactive and Human-Based Genetic Algorithms

      • Chihyung Derrick Cheng, Alexander Kosorukoff
      Pages 983-993

    15. Polynomial Approximation of Survival Probabilities Under Multi-point Crossover

      • Sung-Soon Choi, Byung-Ro Moon
      Pages 994-1005
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Other volumes

  1. Genetic and Evolutionary Computation – GECCO 2004

  2. Genetic and Evolutionary Computation – GECCO 2004

Editors and Affiliations

  • Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), Kanpur, India

    Kalyanmoy Deb

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