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A key process for post-secondary educational institutions is the definition of course timetables and classroom assignments.
Subsequent to ethical approval by the AUW ethics committee in February 2010, Darfuri student lists were made available from the registrar's office, which contained contact information including year group, school allocation, class locations and course timetables.
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The methodology is tested on two real-world optimization problems: course timetabling and vehicle routing.
Course timetabling is an important and recurring administrative activity in most educational institutions.
We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling.
Artificial bee colony (ABC) algorithm has been successfully used for tackling uncapaciated examination and course timetabling problems.
At first, the course timetable was developed, and its solution was used to generate an initial exam schedule.
The second one is university course timetabling which determines which course should be assigned to which lecturer on which day and time slot.
The post-enrolment course timetabling (PE-CTT) is one of the most studied timetabling problems, for which many instances and results are available.
In this paper, a novel hybrid ABC algorithm based on the integrated technique is proposed for tackling the university course timetabling problem.
University course timetabling is concerned with assigning a set of courses to a set of rooms and timeslots according to a set of constraints.
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