ML Anthology

Tabu Search Techniques for Large High-School Timetabling Problems

Andrea Schaerf
AAAI 1996 pp. 363-368
/aaai/1996/schaerf1996aaai-tabu/

Abstract

The high-school timetabling problem regards the weekly scheduling for all the lectures of a high school. The problem consists in assigning lectures to periods in such a way that no teacher (or class) is involved in more than one lecture at a time, and other side constraints are satisfied. The problem is NP-complete and is usually tackled using heuristic methods. This paper describes a solution algorithm (and its implementation) based on tabu search. The algorithm interleaves different types of moves and makes use of an adaptive relaxation of the hard constraints. The implementation of the algorithm has been successfully experimented in some large high schools with various kinds of side constraints.

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Cite

Text

Schaerf. "Tabu Search Techniques for Large High-School Timetabling Problems." AAAI Conference on Artificial Intelligence, 1996.

Markdown

[Schaerf. "Tabu Search Techniques for Large High-School Timetabling Problems." AAAI Conference on Artificial Intelligence, 1996.](https://mlanthology.org/aaai/1996/schaerf1996aaai-tabu/)

BibTeX

@inproceedings{schaerf1996aaai-tabu,
  title     = {{Tabu Search Techniques for Large High-School Timetabling Problems}},
  author    = {Schaerf, Andrea},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1996},
  pages     = {363-368},
  url       = {https://mlanthology.org/aaai/1996/schaerf1996aaai-tabu/}
}