Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO

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:eng
eng
Published: 2005
Subjects:
QA76.76 Fuzzy System.
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
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id my-uum-etd.1274
record_format uketd_dc
spelling my-uum-etd.12742013-07-24T12:11:14Z Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO 2005-04-09 Mohd. Zaki, Mohd. Salikon Faculty of Information Technology Faculty of Information Technology 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 Thesis https://etd.uum.edu.my/1274/ https://etd.uum.edu.my/1274/1/MOHD._ZAKI_B._MOHD._SALIKON.pdf application/pdf eng validuser https://etd.uum.edu.my/1274/2/1.MOHD._ZAKI_B._MOHD._SALIKON.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76.76 Fuzzy System.
spellingShingle QA76.76 Fuzzy System.
Mohd. Zaki, Mohd. Salikon
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
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
qualification_name masters
qualification_level Master's degree
author Mohd. Zaki, Mohd. Salikon
author_facet Mohd. Zaki, Mohd. Salikon
author_sort Mohd. Zaki, Mohd. Salikon
title Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
title_short 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_sort examination timetabling using genetic algorithm case study : kuittho
granting_institution Universiti Utara Malaysia
granting_department Faculty of Information Technology
publishDate 2005
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
_version_ 1747827111063715840

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