skip to main content
10.1145/1276958.1277001acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
Article

Robust scheduling method based on workflow simulation model and biological immune principle

Published: 07 July 2007 Publication History

Abstract

A robust scheduling method is proposed to solve uncertain scheduling problems. A set of workflow simulation models is used to model the uncertain scheduling environment, and a robust scheduling scheme is obtained by an immune algorithm to make it has good performances for each model in the model set.

References

[1]
Brucker P. Scheduling algorithms. Berlin, Heidelberg: Springer-Verlag, 1998.
[2]
Zuo X. Q., Mo H. W., Fan Y. S. A variable neighborhood immune algorithm for solving complex function optimization problems. IEEE International Conference on Machine Learning and Cybernetics, Dalian, China, 2006, pp.2166--2172.

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. immune algorithm
  2. optimization computation
  3. production scheduling
  4. workflow model

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

  • 0
    Total Citations
  • 167
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Feb 2025

Other Metrics

Citations

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