University class timetable tool
This project is a timetable scheduling project for purpose of generating the timetable automatically. It will provide the students with the concepts, structures, and design of an automated timetabling tool using Genetic Algorithm. University class timetabling is an optimization problem where sets of...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2022
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| Online Access: | http://eprints.utar.edu.my/4684/ http://eprints.utar.edu.my/4684/1/fyp_CS_2022__AWJ.pdf |
| _version_ | 1848886215269416960 |
|---|---|
| author | Ang, Wen Jie |
| author_facet | Ang, Wen Jie |
| author_sort | Ang, Wen Jie |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | This project is a timetable scheduling project for purpose of generating the timetable automatically. It will provide the students with the concepts, structures, and design of an automated timetabling tool using Genetic Algorithm. University class timetabling is an optimization problem where sets of the class events need to be scheduled into the timeslots available and at the same time, consider the existence of the constraints. Due to its NP level of difficulty, every added constraint into the timetable scheduling will be resulting in the exponential increment of its complexity. To solve this problem, many algorithms or optimizers had been introduced to simplify the problem complexity, as well as find out the optimal solution for the scheduling. Example of the algorithms are genetic algorithm, particle swarm optimization, simulated annealing, and some other heuristic approaches. As there are different kind of constraints in different institutes or universities, different methods need to be defined to obey the constraints. During the pandemic of Covid-19, the timetable structure has changed greatly, significantly the changes of the study mode which is from physical study mode to online or hybrid mode. In this project, the newly constraints related to the study modes in the timetable scheduling will be defined, genetic algorithm will be studied and used to solve the timetabling problem. Then, create a university class timetabling tool with the newly added constraint. In the end of this project, a university class timetable tool will be developed. |
| first_indexed | 2025-11-15T19:34:57Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-4684 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:34:57Z |
| publishDate | 2022 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-46842023-01-15T13:42:58Z University class timetable tool Ang, Wen Jie T Technology (General) This project is a timetable scheduling project for purpose of generating the timetable automatically. It will provide the students with the concepts, structures, and design of an automated timetabling tool using Genetic Algorithm. University class timetabling is an optimization problem where sets of the class events need to be scheduled into the timeslots available and at the same time, consider the existence of the constraints. Due to its NP level of difficulty, every added constraint into the timetable scheduling will be resulting in the exponential increment of its complexity. To solve this problem, many algorithms or optimizers had been introduced to simplify the problem complexity, as well as find out the optimal solution for the scheduling. Example of the algorithms are genetic algorithm, particle swarm optimization, simulated annealing, and some other heuristic approaches. As there are different kind of constraints in different institutes or universities, different methods need to be defined to obey the constraints. During the pandemic of Covid-19, the timetable structure has changed greatly, significantly the changes of the study mode which is from physical study mode to online or hybrid mode. In this project, the newly constraints related to the study modes in the timetable scheduling will be defined, genetic algorithm will be studied and used to solve the timetabling problem. Then, create a university class timetabling tool with the newly added constraint. In the end of this project, a university class timetable tool will be developed. 2022-09-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4684/1/fyp_CS_2022__AWJ.pdf Ang, Wen Jie (2022) University class timetable tool. Final Year Project, UTAR. http://eprints.utar.edu.my/4684/ |
| spellingShingle | T Technology (General) Ang, Wen Jie University class timetable tool |
| title | University class timetable tool
|
| title_full | University class timetable tool
|
| title_fullStr | University class timetable tool
|
| title_full_unstemmed | University class timetable tool
|
| title_short | University class timetable tool
|
| title_sort | university class timetable tool |
| topic | T Technology (General) |
| url | http://eprints.utar.edu.my/4684/ http://eprints.utar.edu.my/4684/1/fyp_CS_2022__AWJ.pdf |