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...

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Main Author: Mohd Salikon, Mohd Zaki
Format: Thesis
Language:en
Published: 2005
Subjects:
Online Access:http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf
http://eprints.uthm.edu.my/8164/
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author Mohd Salikon, Mohd Zaki
author_facet Mohd Salikon, Mohd Zaki
author_sort Mohd Salikon, Mohd Zaki
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
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 Tun Hussein Onn Malaysia
language en
publishDate 2005
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spelling my.uthm.eprints-81642023-02-07T03:25:33Z http://eprints.uthm.edu.my/8164/ Examination timetabling using genetic algorithm case study: KUiTTHO Mohd Salikon, Mohd Zaki QA Mathematics QA71-90 Instruments and machines 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 NonPeerReviewed text en http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf Mohd Salikon, Mohd Zaki (2005) Examination timetabling using genetic algorithm case study: KUiTTHO. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA Mathematics
QA71-90 Instruments and machines
Mohd Salikon, Mohd Zaki
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 QA Mathematics
QA71-90 Instruments and machines
url http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf
http://eprints.uthm.edu.my/8164/
url_provider http://eprints.uthm.edu.my/