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arXiv · 1309.3285

A tabu search algorithm with efficient diversification strategy for high school timetabling problem

Salman Hooshmand·Mehdi Behshameh·Omid Hamidi
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Abstract

The school timetabling problem can be described as scheduling a set of lessons (combination of classes, teachers, subjects and rooms) in a weekly timetable. This paper presents a novel way to generate timetables for high schools. The algorithm has three phases. Pre-scheduling, initial phase and optimization through tabu search. In the first phase, a graph based algorithm used to create groups of lessons to be scheduled simultaneously; then an initial solution is built by a sequential greedy heuristic. Finally, the solution is optimized using tabu search algorithm based on frequency based diversification. The algorithm has been tested on a set of real problems gathered from Iranian high schools. Experiments show that the proposed algorithm can effectively build acceptable timetables.

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Salman Hooshmand, Mehdi Behshameh, Omid Hamidi. 2013-09-12. A tabu search algorithm with efficient diversification strategy for high school timetabling problem. https://doi.org/10.5121/ijcsit.2013.5402

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