Volume 15, Issue 3 (11-2018)                   2018, 15(3): 45-66 | Back to browse issues page

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Department of Industrial engineering, Faculty of Engineering, Najafabad branch, Islamic Azad University, Najafabad, Iran
Abstract:   (2101 Views)
One of the important tasks of universities that are usually challenging is university course timetabling problem. They are faced with this problem every year and every term and which is directly effective on education performance. In the university course timetabling problem, the university sources including lessons, lecturers, classes and other teaching sources are assigned to a series of time slots. If they are assigned properly, educational quality can be enhanced. Given the importance of this issue, a new mathematical model is proposed in this study for university course timetabling. Indexes of educational quality such as quality of lecturers in teaching, considering the counseling time for the students and appropriate time of lesson presentation during the day are taken into account in this model. Considering that university course timetabling problem is at big NP-Hard dimension, a meta-heuristic algorithm is employed based on non-dominated sorting genetic algorithm. Given that the algorithm proposes several ranked solutions, the final solution is selected via defining some indexes to measure quality of solutions and used multi-criteria methods. Finally, course timetabling of graduate studies for the Department of Industries at the Islamic Azad University-Najaf Abad Branch was determined via this algorithm.
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Type of Study: Research | Subject: Special
Received: 2017/07/9 | Accepted: 2018/07/28 | Published: 2018/11/15

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