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At first, the course timetable was developed, and its solution was used to generate an initial exam schedule.
Building a course timetable is a difficult and lengthy task which universities devote a large amount of human and material resources to every year.
In the present study we examine the design and implementation of a computer network based system to aid the construction of a university course timetable.
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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.
A key process for post-secondary educational institutions is the definition of course timetables and classroom assignments.
Artificial bee colony (ABC) algorithm has been successfully used for tackling uncapaciated examination and course timetabling problems.
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.
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