Solving Toronto Examination Timetabling Using Heuristic Method

Lim Ruey, Long (2013) Solving Toronto Examination Timetabling Using Heuristic Method. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang.

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The examination timetabling problem has attracted the interested of many researchers over the years. However, this problem is difficult to solve due to the lack of benchmark dataset and many constraints that need to be satisfied in examination timetabling problem. Toronto benchmark data contains 13 real-world examination timetabling problem which have different conflict density for every dataset. Many researchers solved Toronto benchmark data using different method in order to produce a timetable which is feasible and solve all the constraints. To produce a feasible examination timetable, all the exams need to be scheduled into timeslot while satisfying the hard constraint and soft constraint. The timetable result should have the minimum penalty value in term of spread exams. Therefore, the technique partial graph heuristic with hill climbing method should be implemented to solve Toronto examination timetabling problem. The graph heuristic method will partially schedule the exam and then improved by hill climbing method. This process will be repeated until all the exams are scheduled. By using this technique, the solution of timetable result can comply all of the constraints and has a competitive result compared to other researchers' result.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2012
Uncontrolled Keywords: System design Management information systems Online data processing Heuristic programming Examinations Timetables
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Ms Suriati Mohd Adam
Date Deposited: 11 Nov 2014 02:32
Last Modified: 17 Jun 2021 01:12
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