A study of examination timetable problem in UMP

The examination timetabling problem involves the task of assigning the examinations into a limited number of timeslots and rooms with the aim of satisfying all the hard constraints. Most of the reported research in the literature starts with constructing the initial timetable by scheduling all the e...

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Main Authors: Kahar, M. N.M., Ibrahim, Ku Saimah, Awang, Suryanti, Musa, Zalili, Abu Bakar, Rohani, Kadir, T. A.A.
Format: Research Report
Language:English
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Online Access:http://umpir.ump.edu.my/id/eprint/36575/1/A%20study%20of%20examination%20timetable%20problem%20in%20UMP.wm.pdf
http://umpir.ump.edu.my/id/eprint/36575/
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spelling my.ump.umpir.365752023-03-16T08:25:51Z http://umpir.ump.edu.my/id/eprint/36575/ A study of examination timetable problem in UMP Kahar, M. N.M. Ibrahim, Ku Saimah Awang, Suryanti Musa, Zalili Abu Bakar, Rohani Kadir, T. A.A. QA76 Computer software The examination timetabling problem involves the task of assigning the examinations into a limited number of timeslots and rooms with the aim of satisfying all the hard constraints. Most of the reported research in the literature starts with constructing the initial timetable by scheduling all the examinations and then performs an improvement on the timetable. In this research, we investigate a real world examination timetabling problem from Universiti Malaysia Pahang (UMP). UMP examination timetabling dataset is a capacitated dataset which contains additional constraints, in addition to those commonly used in the literature. The proposed algorithms start with constructing the initial timetable using the graph heuristic methods. The entire process runs until all of the examinations are assigned successfully. An improvement on the solution was implemented using step-count hill climbing and late acceptance hill climbing. The proposed approaches are tested on two benchmark datasets, namely Toronto dataset and the Universiti Malaysia Pahang (UMP) dataset. The experimental results show that the proposed approaches are able to produce good quality solution when compared to the solutions from the proprietary software used by UMP. Additionally, our solutions satisfy to all the hard constraints which the current systems fails to do. Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36575/1/A%20study%20of%20examination%20timetable%20problem%20in%20UMP.wm.pdf Kahar, M. N.M. and Ibrahim, Ku Saimah and Awang, Suryanti and Musa, Zalili and Abu Bakar, Rohani and Kadir, T. A.A. A study of examination timetable problem in UMP. , [Research Report: Research Report] (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Kahar, M. N.M.
Ibrahim, Ku Saimah
Awang, Suryanti
Musa, Zalili
Abu Bakar, Rohani
Kadir, T. A.A.
A study of examination timetable problem in UMP
description The examination timetabling problem involves the task of assigning the examinations into a limited number of timeslots and rooms with the aim of satisfying all the hard constraints. Most of the reported research in the literature starts with constructing the initial timetable by scheduling all the examinations and then performs an improvement on the timetable. In this research, we investigate a real world examination timetabling problem from Universiti Malaysia Pahang (UMP). UMP examination timetabling dataset is a capacitated dataset which contains additional constraints, in addition to those commonly used in the literature. The proposed algorithms start with constructing the initial timetable using the graph heuristic methods. The entire process runs until all of the examinations are assigned successfully. An improvement on the solution was implemented using step-count hill climbing and late acceptance hill climbing. The proposed approaches are tested on two benchmark datasets, namely Toronto dataset and the Universiti Malaysia Pahang (UMP) dataset. The experimental results show that the proposed approaches are able to produce good quality solution when compared to the solutions from the proprietary software used by UMP. Additionally, our solutions satisfy to all the hard constraints which the current systems fails to do.
format Research Report
author Kahar, M. N.M.
Ibrahim, Ku Saimah
Awang, Suryanti
Musa, Zalili
Abu Bakar, Rohani
Kadir, T. A.A.
author_facet Kahar, M. N.M.
Ibrahim, Ku Saimah
Awang, Suryanti
Musa, Zalili
Abu Bakar, Rohani
Kadir, T. A.A.
author_sort Kahar, M. N.M.
title A study of examination timetable problem in UMP
title_short A study of examination timetable problem in UMP
title_full A study of examination timetable problem in UMP
title_fullStr A study of examination timetable problem in UMP
title_full_unstemmed A study of examination timetable problem in UMP
title_sort study of examination timetable problem in ump
url http://umpir.ump.edu.my/id/eprint/36575/1/A%20study%20of%20examination%20timetable%20problem%20in%20UMP.wm.pdf
http://umpir.ump.edu.my/id/eprint/36575/
_version_ 1761616596788314112
score 13.18916