skip to main content
10.1145/1389095.1389355acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
poster

Elitism reduces bloat in genetic programming

Published: 12 July 2008 Publication History

Abstract

Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements to new generations. Using two GP systems and four problems, we show how elitism reduces the growth of mean program size.

References

[1]
J. R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA, 1992.
[2]
J. R. Koza. Genetic Programming II: Automatic Discovery of Reusable Programs. MIT Press, Cambridge Massachusetts, May 1994.
[3]
W. B. Langdon and R. Poli. Foundations of Genetic Programming. Springer, Berlin, Heidelberg, New York, Berlin, 2002.
[4]
A. Piszcz and T. Soule. Dynamics of evolutionary robustness. In M. Keijzer et al., editor, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 871--878, Seattle, Washington, USA, 8-12 July 2006. ACM Press.
[5]
R. Poli, W. B. Langdon, and N. F. McPhee. A field guide to genetic programming. Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, 2008. (With contributions by J. R. Koza).

Cited By

View all
  • (2024)Genetic Programming to Optimize 3D TrajectoriesISPRS International Journal of Geo-Information10.3390/ijgi1308029513:8(295)Online publication date: 20-Aug-2024
  • (2024)On the Nature of the Phenotype in Tree Genetic ProgrammingProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654129(868-877)Online publication date: 14-Jul-2024
  • (2023)A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing ProblemIEEE Transactions on Evolutionary Computation10.1109/TEVC.2022.319516527:6(1633-1647)Online publication date: Dec-2023
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. bloat
  2. elitism
  3. genetic programming

Qualifiers

  • Poster

Conference

GECCO08
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Genetic Programming to Optimize 3D TrajectoriesISPRS International Journal of Geo-Information10.3390/ijgi1308029513:8(295)Online publication date: 20-Aug-2024
  • (2024)On the Nature of the Phenotype in Tree Genetic ProgrammingProceedings of the Genetic and Evolutionary Computation Conference10.1145/3638529.3654129(868-877)Online publication date: 14-Jul-2024
  • (2023)A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing ProblemIEEE Transactions on Evolutionary Computation10.1109/TEVC.2022.319516527:6(1633-1647)Online publication date: Dec-2023
  • (2023)Towards Eusociality Using an Inverse Agent Based ModelAdvances in Social Simulation10.1007/978-3-031-34920-1_15(181-192)Online publication date: 30-Sep-2023
  • (2022)EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCsProceedings of the 17th International Conference on the Foundations of Digital Games10.1145/3555858.3555896(1-13)Online publication date: 5-Sep-2022
  • (2022)Genetic Programming With Niching for Uncertain Capacitated Arc Routing ProblemIEEE Transactions on Evolutionary Computation10.1109/TEVC.2021.309526126:1(73-87)Online publication date: Feb-2022
  • (2022)Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type CheckingGenetic Programming10.1007/978-3-031-02056-8_13(197-211)Online publication date: 13-Apr-2022
  • (2021)Optimization of a Truss Structure Used to Design of the Manipulator Arm from a Set of ComponentsApplied Sciences10.3390/app11211019311:21(10193)Online publication date: 30-Oct-2021
  • (2021)A Review of Genetic Programming: Popular Techniques, Fundamental Aspects, Software Tools and ApplicationsSakarya University Journal of Science10.16984/saufenbilder.79333325:2(397-416)Online publication date: 15-Apr-2021
  • (2020)Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural NetworksEnergies10.3390/en1311300513:11(3005)Online publication date: 11-Jun-2020
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media