Abstract
In this paper, the development and implementation of a university examination scheduling system, based on a genetic algorithm, is described. The system has been used for scheduling examinations in two real instances so far at Middle East Technical University, involving 682 exams in one case and 1449 exams in the other. The methods employed are described including two adaptive mutation operators that yielded a more robust genetic search, a proximity matrix for efficient computation of the fitness function, a scaled conflict matrix and temporal suspension of highly conflicting exams resulting in schedules with better patterns.
Most of the work described in this study was carried out as part of the author's master's thesis and the author thanks the thesis supervisors Dr. Göktürk Üçoluk and Dr. Halit Oguztüzün for their contributions and motivation.
The author was the project manager of Registrar's Office Automation System at Middle East Technical University's Computer Center during this study.
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Ergül, A. (1996). GA-based examination scheduling experience at Middle East Technical University. In: Burke, E., Ross, P. (eds) Practice and Theory of Automated Timetabling. PATAT 1995. Lecture Notes in Computer Science, vol 1153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61794-9_61
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DOI: https://doi.org/10.1007/3-540-61794-9_61
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