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...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd Salikon, Mohd Zaki
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uthm-ep.8164
record_format uketd_dc
spelling my-uthm-ep.81642023-02-07T03:25:33Z Examination timetabling using genetic algorithm case study: KUiTTHO 2005-04 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 http://eprints.uthm.edu.my/8164/ http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf text en public mphil masters Universiti Utara Malaysia Fakulti Teknologi Maklumat
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
topic QA Mathematics
QA71-90 Instruments and machines
spellingShingle QA Mathematics
QA71-90 Instruments and machines
Mohd Salikon, Mohd Zaki
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 Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohd Salikon, Mohd Zaki
author_facet Mohd Salikon, Mohd Zaki
author_sort Mohd Salikon, Mohd Zaki
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 Fakulti Teknologi Maklumat
publishDate 2005
url http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf
_version_ 1776103290734379008