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Examination timetabling problem is a nontrivial task due to its NP-hard nature as well as the involvement of numerous constraints. Moreover, solving capacitated examination timetabling is more challenging compared to un-capacitated one. This paper implements graph heuristic with hill climbing search to solve the capacitated examination timetabling considering partial examination assignment concepts...
This paper describes a method that combines graph heuristics and hill climbing for addressing the examination timetable problem. In this approach, all exams are ordered with graph heuristic ordering approach and partial exams are considered for scheduling. These partial scheduled exams are then improved using hill climbing until all exams have been successfully scheduled. Various exam assignment values...
Constructing a quality solution for the examination timetable problem is a difficult task. This paper presents a partial exam assignment approach with great deluge algorithm as the improvement mechanism in order to generate good quality timetable. In this approach, exams are ordered based on graph heuristics and only selected exams (partial exams) are scheduled first and then improved using great...
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