Automated Student Timetable Scheduling System based on Genetic Algorithm
Timetable scheduling is always a major challenge in an education setting due to the complexity of the timetabling environment including large number of students, changing in study plan, diverse courses and limited number of classrooms. These factors lead to several major problems identified durin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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INTI International University
2019
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| Online Access: | http://eprints.intimal.edu.my/1980/ http://eprints.intimal.edu.my/1980/1/ij2019_69.pdf |
| _version_ | 1848766887853293568 |
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| author | Amirul Azuani, Romlee Noor Ain, Rosly Meng, Chuan Haw |
| author_facet | Amirul Azuani, Romlee Noor Ain, Rosly Meng, Chuan Haw |
| author_sort | Amirul Azuani, Romlee |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Timetable scheduling is always a major challenge in an education setting due to the complexity of
the timetabling environment including large number of students, changing in study plan, diverse
courses and limited number of classrooms. These factors lead to several major problems identified
during the enrollment period such as timetable clashing between students, continuous hours of
lecture and difficulty to find a matching slot for the clashed courses. In order to solve these
problems, automated timetable scheduling system based on genetic algorithm is proposed which
is estimated to reduce the chances of class clashing and prevent continuous lecture time. Genetic
algorithm works based on natural evolutions that comprises of several iterations. The iterations
will continue to generates new generation cycles until the optimum schedule is met. By using
minimal data entry such as the course information, the system will be able to find the best timeslot.
As a result, student and lecturer will have some gap between their lecturer hour while the classroom
and laboratory can be assigned more effectively as well as classroom clashing which continuously
happened in the manual scheduling system can be avoided. Hence, genetic algorithm will be able
to find a better solution for timetable scheduling as well as optimizing the efficiency of the
timetabling unit in INTI International University. |
| first_indexed | 2025-11-14T11:58:17Z |
| format | Article |
| id | intimal-1980 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:58:17Z |
| publishDate | 2019 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19802024-08-14T08:22:50Z http://eprints.intimal.edu.my/1980/ Automated Student Timetable Scheduling System based on Genetic Algorithm Amirul Azuani, Romlee Noor Ain, Rosly Meng, Chuan Haw QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Timetable scheduling is always a major challenge in an education setting due to the complexity of the timetabling environment including large number of students, changing in study plan, diverse courses and limited number of classrooms. These factors lead to several major problems identified during the enrollment period such as timetable clashing between students, continuous hours of lecture and difficulty to find a matching slot for the clashed courses. In order to solve these problems, automated timetable scheduling system based on genetic algorithm is proposed which is estimated to reduce the chances of class clashing and prevent continuous lecture time. Genetic algorithm works based on natural evolutions that comprises of several iterations. The iterations will continue to generates new generation cycles until the optimum schedule is met. By using minimal data entry such as the course information, the system will be able to find the best timeslot. As a result, student and lecturer will have some gap between their lecturer hour while the classroom and laboratory can be assigned more effectively as well as classroom clashing which continuously happened in the manual scheduling system can be avoided. Hence, genetic algorithm will be able to find a better solution for timetable scheduling as well as optimizing the efficiency of the timetabling unit in INTI International University. INTI International University 2019 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1980/1/ij2019_69.pdf Amirul Azuani, Romlee and Noor Ain, Rosly and Meng, Chuan Haw (2019) Automated Student Timetable Scheduling System based on Genetic Algorithm. INTI JOURNAL, 2019 (69). pp. 1-5. ISSN e2600-7320 https://intijournal.intimal.edu.my |
| spellingShingle | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software Amirul Azuani, Romlee Noor Ain, Rosly Meng, Chuan Haw Automated Student Timetable Scheduling System based on Genetic Algorithm |
| title | Automated Student Timetable Scheduling System based on Genetic
Algorithm |
| title_full | Automated Student Timetable Scheduling System based on Genetic
Algorithm |
| title_fullStr | Automated Student Timetable Scheduling System based on Genetic
Algorithm |
| title_full_unstemmed | Automated Student Timetable Scheduling System based on Genetic
Algorithm |
| title_short | Automated Student Timetable Scheduling System based on Genetic
Algorithm |
| title_sort | automated student timetable scheduling system based on genetic
algorithm |
| topic | QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1980/ http://eprints.intimal.edu.my/1980/ http://eprints.intimal.edu.my/1980/1/ij2019_69.pdf |