DocumentCode :
1520562
Title :
Local search techniques for large high school timetabling problems
Author :
Schaerf, Andrea
Author_Institution :
Dept. di Ingegneria Elettrica, Udine Univ., Italy
Volume :
29
Issue :
4
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
368
Lastpage :
377
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 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 local search techniques. The algorithm alternates different techniques and different types of moves and makes use of an adaptive relaxation of the hard constraints. The implementation of the algorithm has been successfully experimented with in some large high schools with various kinds of side constraints
Keywords :
computational complexity; education; relaxation theory; scheduling; search problems; NP-complete problem; adaptive relaxation; large high school timetabling problems; local search techniques; Artificial intelligence; Control systems; Councils; Educational institutions; Helium; Humans; Linear programming; Scheduling; Time factors; Workstations;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/3468.769755
Filename :
769755
Link To Document :
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