Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki

Scheduling problems can be defined as process of assigning entities to a particular slot in the timetable and a particular room. Each scheduling problem is individual to the institution that creates it. In FITQS before the examination weeks, the examination timetable must be constructed first. Th...

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Bibliographic Details
Main Author:	Marzuki, Mursyidul Syafiq
Format:	Thesis
Language:	English
Published:	2004
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1708/ http://ir.uitm.edu.my/id/eprint/1708/1/PPb_MURSYIDUL%20SYAFIQ%20MARZUKI%20CS%2004_5%20P01.pdf

id	uitm-1708
recordtype	eprints
spelling	uitm-17082019-07-22T03:18:32Z http://ir.uitm.edu.my/id/eprint/1708/ Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki Marzuki, Mursyidul Syafiq QA75 Electronic computers. Computer science Scheduling problems can be defined as process of assigning entities to a particular slot in the timetable and a particular room. Each scheduling problem is individual to the institution that creates it. In FITQS before the examination weeks, the examination timetable must be constructed first. This means that the examination timetable has been constructed and the courses that have examinations for certain date and session are known. The task that should be carried out is to assign the courses into rooms for examination and then assign invigilators to rooms given that invigilators cannot invigilate the rooms that he/she teaches the course(s) that have examination(s) in that room. The objective is to optimize the assignment of courses that will have final examination to rooms and optimize scheduling invigilators to rooms. The scope is all rooms that will be used as examination rooms in FITQS, all courses that have final examination in FITQS rooms and all lecturers who will be invigilators to examinations. This thesis presents work on scheduling courses and invigilators into rooms using GA for the optimization. The GA has been made some modification to yield good results in a reasonable time. 2004 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1708/1/PPb_MURSYIDUL%20SYAFIQ%20MARZUKI%20CS%2004_5%20P01.pdf Marzuki, Mursyidul Syafiq (2004) Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Marzuki, Mursyidul Syafiq Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
description	Scheduling problems can be defined as process of assigning entities to a particular slot in the timetable and a particular room. Each scheduling problem is individual to the institution that creates it. In FITQS before the examination weeks, the examination timetable must be constructed first. This means that the examination timetable has been constructed and the courses that have examinations for certain date and session are known. The task that should be carried out is to assign the courses into rooms for examination and then assign invigilators to rooms given that invigilators cannot invigilate the rooms that he/she teaches the course(s) that have examination(s) in that room. The objective is to optimize the assignment of courses that will have final examination to rooms and optimize scheduling invigilators to rooms. The scope is all rooms that will be used as examination rooms in FITQS, all courses that have final examination in FITQS rooms and all lecturers who will be invigilators to examinations. This thesis presents work on scheduling courses and invigilators into rooms using GA for the optimization. The GA has been made some modification to yield good results in a reasonable time.
format	Thesis
author	Marzuki, Mursyidul Syafiq
author_facet	Marzuki, Mursyidul Syafiq
author_sort	Marzuki, Mursyidul Syafiq
title	Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
title_short	Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
title_full	Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
title_fullStr	Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
title_full_unstemmed	Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki
title_sort	optimizing invigilator's timetabling using genetic algorithm / mursyidul syafiq marzuki
publishDate	2004
url	http://ir.uitm.edu.my/id/eprint/1708/ http://ir.uitm.edu.my/id/eprint/1708/1/PPb_MURSYIDUL%20SYAFIQ%20MARZUKI%20CS%2004_5%20P01.pdf
first_indexed	2023-09-18T22:46:12Z
last_indexed	2023-09-18T22:46:12Z
_version_	1777417241704267776

Optimizing invigilator's timetabling using genetic algorithm / Mursyidul Syafiq Marzuki

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