Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Modelling and Solving Employee Timetabling Problems
Annals of Mathematics and Artificial Intelligence
EasyLocal++: an object-oriented framework for the flexible design of local-search algorithms
Software—Practice & Experience
Journal of Experimental Algorithmics (JEA)
Applying evolutionary computation to the school timetabling problem: The Greek case
Computers and Operations Research
Anytime local search for distributed constraint optimization
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
School timetabling for quality student and teacher schedules
Journal of Scheduling
Anytime local search for distributed constraint optimization
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Very large-scale neighborhood search techniques in timetabling problems
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
A case study for timetabling in a dutch secondary school
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
Parallelizing a CLIPS-based course timetabling expert system
Expert Systems with Applications: An International Journal
Cyclic transfers in school timetabling
OR Spectrum
Feature selection in a fuzzy student sectioning algorithm
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
Applied Soft Computing
Population based Local Search for university course timetabling problems
Applied Intelligence
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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