Skip to main content
Springer Nature Link
Log in

Genetic and Evolutionary Computation — GECCO 2003

Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part II

  • Conference proceedings
  • © 2003
Save conference proceedings
View saved research

Overview

Editors:
  1. Erick Cantú-Paz

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

  2. James A. Foster
  3. Kalyanmoy Deb
  4. Lawrence David Davis
  5. Rajkumar Roy
  6. Una-May O’Reilly
  7. Hans-Georg Beyer
  8. Russell Standish
  9. Graham Kendall
  10. Stewart Wilson
  11. Mark Harman
  12. Joachim Wegener
  13. Dipankar Dasgupta
  14. Mitch A. Potter
  15. Alan C. Schultz
  16. Kathryn A. Dowsland
  17. Natasha Jonoska
  18. Julian Miller

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2724)

Included in the following conference series:

Conference proceedings info: GECCO 2003.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book EUR 54.49
Price includes VAT (Netherlands)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Explore related subjects

Discover the latest articles, books and news in related subjects.

Table of contents (155 papers)

  1. Front Matter

    Pages I-XLVII
    Download chapter PDF

  2. Genetic Algorithms

    1. Design of Multithreaded Estimation of Distribution Algorithms

      • Jiri Ocenasek, Josef Schwarz, Martin Pelikan
      Pages 1247-1258

    2. Reinforcement Learning Estimation of Distribution Algorithm

      • Topon Kumar Paul, Hitoshi Iba
      Pages 1259-1270

    3. Hierarchical BOA Solves Ising Spin Glasses and MAXSAT

      • Martin Pelikan, David E. Goldberg
      Pages 1271-1282

    4. ERA: An Algorithm for Reducing the Epistasis of SAT Problems

      • Eduardo Rodriguez-Tello, Jose Torres-Jimenez
      Pages 1283-1294

    5. Learning a Procedure That Can Solve Hard Bin-Packing Problems: A New GA-Based Approach to Hyper-heuristics

      • Peter Ross, Javier G. Marín-Blázquez, Sonia Schulenburg, Emma Hart
      Pages 1295-1306

    6. Population Sizing for the Redundant Trivial Voting Mapping

      • Franz Rothlauf
      Pages 1307-1319

    7. Non-stationary Function Optimization Using Polygenic Inheritance

      • Conor Ryan, J. J. Collins, David Wallin
      Pages 1320-1331

    8. Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage

      • Kumara Sastry, David E. Goldberg
      Pages 1332-1344

    9. New Entropy-Based Measures of Gene Significance and Epistasis

      • Dong-Il Seo, Yong-Hyuk Kim, Byung Ro Moon
      Pages 1345-1356

    10. A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes

      • Dong-Il Seo, Byung-Ro Moon
      Pages 1357-1368

    11. Cellular Programming and Symmetric Key Cryptography Systems

      • Franciszek Seredyński, Pascal Bouvry, Albert Y. Zomaya
      Pages 1369-1381

    12. Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC

      • R. E. Smith, Claudio Bonacina
      Pages 1382-1393

    13. EC Theory: A Unified Viewpoint

      • Christopher R. Stephens, Adolfo Zamora
      Pages 1394-1405

    14. Real Royal Road Functions for Constant Population Size

      • Tobias Storch, Ingo Wegener
      Pages 1406-1417

    15. Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold

      • Matthew J. Streeter
      Pages 1418-1430

    16. Dimensionality Reduction via Genetic Value Clustering

      • Alexander Topchy, William Punch
      Pages 1431-1443

    17. The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms

      • Marc Toussaint
      Pages 1444-1456

    18. The Virtual Gene Genetic Algorithm

      • Manuel Valenzuela-Rendón
      Pages 1457-1468

    19. Quad Search and Hybrid Genetic Algorithms

      • Darrell Whitley, Deon Garrett, Jean-Paul Watson
      Pages 1469-1480
Back to top

Other volumes

  1. Genetic and Evolutionary Computation - GECCO 2003

  2. Genetic and Evolutionary Computation — GECCO 2003

Editors and Affiliations

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

    Erick Cantú-Paz

Accessibility Information

PDF accessibility summary

This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or descriptions for non-text content (e.g., images and graphs). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at through this accessibility request webform if you require assistance or an alternative format.

Bibliographic Information

  • Book Title: Genetic and Evolutionary Computation — GECCO 2003

  • Book Subtitle: Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part II

  • Editors: Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence David Davis, Rajkumar Roy, Una-May O’Reilly, Hans-Georg Beyer, Russell Standish, Graham Kendall, Stewart Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitch A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasha Jonoska, … Julian Miller

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45110-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Softcover ISBN: 978-3-540-40603-7Published: 30 June 2003

  • eBook ISBN: 978-3-540-45110-5Published: 03 August 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XCIV, 1280

  • Number of Illustrations: 818 b/w illustrations

  • Topics: Evolutionary Biology, Computation by Abstract Devices, Programming Techniques, Algorithm Analysis and Problem Complexity, Artificial Intelligence, Computer Appl. in Administrative Data Processing

Keywords

Publish with us

Policies and ethics

Back to top