The hybridisation of heuristic method to solve the ITC2007 examination timetabling problem / Khor Sze Khim

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2013Description: xiii, 82 p. : ill. ; 30 cm. + 1 CD-ROMISBN:
  • THE0001981(Local)
Subject(s): Dissertation note: Project paper (Bachelor of Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2012 Abstract: The examination timetabling (exam-timeslot-room assignment) problem involves assigning exams to a specific or limited number of timeslots and rooms, with the aim of satisfying the hard constraints and soft constraints as much as possible. Most of the techniques reported in the literature have been applied to solve simplified examination benchmark datasets, available within the scientific literature. For this research, the dataset is drawn from the examination track of the second International Timetabling Competition (ITC2007). This dataset had several novel constraints, in addition to those commonly used in the literature. There are a total of twelve data set that are having different features (i.e. number of exam, number of timeslot and also number of room). A hybridization of graph heuristic and hill climbing is being used to solve the timetabling problem. For the graph heuristic method, it is being used to generate an initial solution. After that, the solution is improved by using the hill climbing method. At the end, it will produce a better solution that fulfill all the require constraints.
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB GAMBANG CD 7634 | QA76.9.S88 K46 2013 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000078911
Final Year Report Final Year Report UMPLIB PEKAN QA76.9.S88 K46 2013 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000078910

Project paper (Bachelor of Computer Science (Software Engineering) -- Universiti Malaysia Pahang - 2012

Bibliography : p.71-77

The examination timetabling (exam-timeslot-room assignment) problem involves assigning exams to a specific or limited number of timeslots and rooms, with the aim of satisfying the hard constraints and soft constraints as much as possible. Most of the techniques reported in the literature have been applied to solve simplified examination benchmark datasets, available within the scientific literature. For this research, the dataset is drawn from the examination track of the second International Timetabling Competition (ITC2007). This dataset had several novel constraints, in addition to those commonly used in the literature. There are a total of twelve data set that are having different features (i.e. number of exam, number of timeslot and also number of room). A hybridization of graph heuristic and hill climbing is being used to solve the timetabling problem. For the graph heuristic method, it is being used to generate an initial solution. After that, the solution is improved by using the hill climbing method. At the end, it will produce a better solution that fulfill all the require constraints.

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