Solving an application of university course timetabling problem by using genetic algorithm

• 第一著者: Norhana, Shaibatul Khadri
• フォーマット: 学位論文
• 言語: English; English
• 出版事項: 2022
• 主題: QA299.6-433 Analysis
• オンライン･アクセス: https://etd.uum.edu.my/10137/1/s821004_01.pdf; https://etd.uum.edu.my/10137/2/s821004_02.pdf; https://etd.uum.edu.my/10137/

Generating timetables for academic institutions is a complex problem. This is due to many constraints involved whether they are vital or desirable, which are known as hard and soft constraints. The problem becomes more complicated and difficult to solve as the number of courses increase. Moreover, g...