Skip to main content

The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms

  • Conference paper
  • First Online:
Evolutionary Computing (AISB EC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 993))

Included in the following conference series:

Abstract

This paper presents a new genetic representation for timetabling with evolutionary algorithms. The representation involves the use of suggestion lists for the placement of events into timeslots. A set of recombination operators is defined for the new representation, and experimental results are given to compare the performance of the operators with each other and with a system not using suggestion lists.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Goldberg D. E., Genetic Algorithms in Search, Optimisation and Machine Learning, Addison Wesley, Reading, 1989.

    Google Scholar 

  2. Michalewicz Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, London, 1992.

    Google Scholar 

  3. Davis L., Handbook of Genetic Algorithms, van Nostrand Reinhold, London, 1992.

    Google Scholar 

  4. Paechter B., Luchian H., Cumming A., “An Evolutionary Approach to the General Timetable Problem”, The Scientific Annals of the “Al. I. Cuza” University of Iasi, special issue for the ROSYCS symposium 1993.

    Google Scholar 

  5. Paechter B., Luchian H., Cumming A., Petriuc M., “Two Solutions to the General Timetable Problem Using Evolutionary Methods”, The Proceedings of the IEEE Conference of Evolutionary Computation, 1994.

    Google Scholar 

  6. Paechter B., “Optimising a Presentation Timetable Using Evolutionary Algorithms”, Proceedings of the AISB Workshop on Evolutionary Computing, Springer-Verlag Computer Science Series, 1994.

    Google Scholar 

  7. Corne D., Ross P., Fang H., “Fast Practical Evolutionary Timetabling” Proceedings of the AISB Workshop on Evolutionary Computing, Springer-Verlag Computer Science Series, 1994.

    Google Scholar 

  8. Burke E., Elliman D., Weare R., “A Genetic Algorithm for University Timetabling” AISB Workshop on Evolutionary Computing, Leeds, 1994.

    Google Scholar 

  9. Colorni A., Dorigo M., Maniezzo V., “Genetic Algorithms and Highly Constrained Problems: The Time-Table Case”. Parallel Problem Solving from Nature I, Goos and Hartmanis (eds.) Springer-Verlag, 1990.

    Google Scholar 

  10. Abramson D., Abela J., “A Parallel Genetic Algorithm for Solving the School Timetabling Problem”, IJCAI workshop on Parallel Processing in AI, Sydney, 1991.

    Google Scholar 

  11. Radcliffe N. J., Surry P. D., “Formal Memetic Algorithms”, Proceedings of the AISB Workshop on Evolutionary Computing, Springer-Verlag Computer Science Series, 1994.

    Google Scholar 

  12. Radcliffe N. J., “Forma Analysis and Random Respectful Recombination” Proceedings of the Fourth International Conference on Genetic Algorithms”, Morgan-Kaufmann, 1991.

    Google Scholar 

  13. Orvosh D., Davis L., “Using a Genetic Algorithm to Optimize Problems with Feasibility Constraints”, The Proceedings of the IEEE Conference of Evolutionary Computation, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Terence C. Fogarty

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Paechter, B., Cumming, A., Luchian, H. (1995). The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms. In: Fogarty, T.C. (eds) Evolutionary Computing. AISB EC 1995. Lecture Notes in Computer Science, vol 993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60469-3_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-60469-3_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60469-3

  • Online ISBN: 978-3-540-47515-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics