Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1276958.1277264acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
Article

Multi-parent extension of edge recombination

Published: 07 July 2007 Publication History

Abstract

This paper proposes a multi-parent crossover based on edge recombination. The original edge table is modified to record the adjacency information for more than two parents. Experimental results on the traveling salesman problem show the proposed multi-parent edge recombination is capable of enhancing edge recombination in solution quality.

References

[1]
A. Eiben. Multiparent recombination in evolutionary computing. In Advances in Evolutionary Computing, pages 175--192, 2002.
[2]
K. Mathias and D. Whitley. Genetic operators, the fitness landscape, and the traveling salesman problem. In Parallel Problem Solving from Nature II, 1992.
[3]
D. Whitley, T. Starkweather, and D. Fuquay. Scheduling problems and traveling salesman: The genetic edge recombination operator. In Proceedings of the Third International Conference on Genetic Algorithms, pages 133--140, 1989.

Cited By

View all
  • (2015)A multi-parent genetic algorithm for the quadratic assignment problemOPSEARCH10.1007/s12597-015-0208-752:4(714-732)Online publication date: 19-Apr-2015

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2007

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. edge recombination
  2. genetic algorithms
  3. multi-parent crossover
  4. the traveling salesman problem

Qualifiers

  • Article

Conference

GECCO07
Sponsor:

Acceptance Rates

GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 01 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2015)A multi-parent genetic algorithm for the quadratic assignment problemOPSEARCH10.1007/s12597-015-0208-752:4(714-732)Online publication date: 19-Apr-2015

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