Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO

Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. The flows of GA are using selection, crossover and mutation operators applied to populations of chromosomes. This paper reports the powerful techniques using...

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Main Author: Mohd. Zaki, Mohd. Salikon
Format: Thesis
Language:en
en
Published: 2005
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Online Access:https://etd.uum.edu.my/1274/1/MOHD._ZAKI_B._MOHD._SALIKON.pdf
https://etd.uum.edu.my/1274/2/1.MOHD._ZAKI_B._MOHD._SALIKON.pdf
https://etd.uum.edu.my/1274/
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author Mohd. Zaki, Mohd. Salikon
author_facet Mohd. Zaki, Mohd. Salikon
author_sort Mohd. Zaki, Mohd. Salikon
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. The flows of GA are using selection, crossover and mutation operators applied to populations of chromosomes. This paper reports the powerful techniques using GA in scheduling. Examination timetabling problem is one of the applications in scheduling. In one aspect, it deals with students such that it fulfils the process time slot. These aspects are important for the examination can be done in a smooth way and no students can sit more than one exam in a same time slot. The other constraint is the student workload should be arranged less than three exams in a row. The examination timetabling problem at Kolej Universiti Teknologi Tun Hussein Onn (KUiTTHO) is introduced and the prototype has been developed using Java language. The prototype suggested several feasible solutions to the user.
format Thesis
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institution Universiti Utara Malaysia
language en
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spelling my.uum.etd-12742013-07-24T12:11:14Z https://etd.uum.edu.my/1274/ Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO Mohd. Zaki, Mohd. Salikon QA76.76 Fuzzy System. Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. The flows of GA are using selection, crossover and mutation operators applied to populations of chromosomes. This paper reports the powerful techniques using GA in scheduling. Examination timetabling problem is one of the applications in scheduling. In one aspect, it deals with students such that it fulfils the process time slot. These aspects are important for the examination can be done in a smooth way and no students can sit more than one exam in a same time slot. The other constraint is the student workload should be arranged less than three exams in a row. The examination timetabling problem at Kolej Universiti Teknologi Tun Hussein Onn (KUiTTHO) is introduced and the prototype has been developed using Java language. The prototype suggested several feasible solutions to the user. 2005-04-09 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/1274/1/MOHD._ZAKI_B._MOHD._SALIKON.pdf application/pdf en https://etd.uum.edu.my/1274/2/1.MOHD._ZAKI_B._MOHD._SALIKON.pdf Mohd. Zaki, Mohd. Salikon (2005) Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76.76 Fuzzy System.
Mohd. Zaki, Mohd. Salikon
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_full Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_fullStr Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_full_unstemmed Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_short Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_sort examination timetabling using genetic algorithm case study : kuittho
topic QA76.76 Fuzzy System.
url https://etd.uum.edu.my/1274/1/MOHD._ZAKI_B._MOHD._SALIKON.pdf
https://etd.uum.edu.my/1274/2/1.MOHD._ZAKI_B._MOHD._SALIKON.pdf
https://etd.uum.edu.my/1274/
url_provider http://etd.uum.edu.my/