Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim

Timetabling problem is said to be a common problem that occurred in any educational institutions. It is usually being solved manually or with the help of simple system. This problem also can be solved using a proper techniques or solutions to organize job or task in a good manner. In assigning the l...

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Main Author: Shahirah, Mohamed Hatim
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/34252/1/34252.pdf
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author Shahirah, Mohamed Hatim
author_facet Shahirah, Mohamed Hatim
author_sort Shahirah, Mohamed Hatim
collection UITM
description Timetabling problem is said to be a common problem that occurred in any educational institutions. It is usually being solved manually or with the help of simple system. This problem also can be solved using a proper techniques or solutions to organize job or task in a good manner. In assigning the lecturers to invigilate the rooms, conflicts may occur. This prototype system is developed for the purpose of assigning lecturers to examination rooms during the final examination. This system is developed for the invigilators and with the objective of constructing an invigilation timetable using Genetic Algorithm. This system uses four steps of Genetic Algorithm technique which are initialization, evaluation, crossover and mutation to produce the new timetable. As a result, the system can generate a simple timetable records but with a limitation where it cannot display the name of the records. It is a hope that this system can contribute for further generation of a complete timetable.
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spelling oai:ir.uitm.edu.my:342522020-09-07T07:52:15Z https://ir.uitm.edu.my/id/eprint/34252/ Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim Shahirah, Mohamed Hatim Back propagation (Artificial intelligence) Evolutionary programming (Computer science). Genetic algorithms Algorithms Timetabling problem is said to be a common problem that occurred in any educational institutions. It is usually being solved manually or with the help of simple system. This problem also can be solved using a proper techniques or solutions to organize job or task in a good manner. In assigning the lecturers to invigilate the rooms, conflicts may occur. This prototype system is developed for the purpose of assigning lecturers to examination rooms during the final examination. This system is developed for the invigilators and with the objective of constructing an invigilation timetable using Genetic Algorithm. This system uses four steps of Genetic Algorithm technique which are initialization, evaluation, crossover and mutation to produce the new timetable. As a result, the system can generate a simple timetable records but with a limitation where it cannot display the name of the records. It is a hope that this system can contribute for further generation of a complete timetable. 2011-04-16 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/34252/1/34252.pdf Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim. (2011) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Perak. <http://terminalib.uitm.edu.my/34252.pdf>
spellingShingle Back propagation (Artificial intelligence)
Evolutionary programming (Computer science). Genetic algorithms
Algorithms
Shahirah, Mohamed Hatim
Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title_full Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title_fullStr Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title_full_unstemmed Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title_short Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
title_sort invigilation timetabling system using genetic algorithm ga shahirah mohamed hatim
topic Back propagation (Artificial intelligence)
Evolutionary programming (Computer science). Genetic algorithms
Algorithms
url https://ir.uitm.edu.my/id/eprint/34252/1/34252.pdf
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