Automated Large-scale Class Scheduling in MiniZinc
November 15, 2020 Β· Declared Dead Β· π 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)
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Authors
Md. Mushfiqur Rahman, Sabah Binte Noor, Fazlul Hasan Siddiqui
arXiv ID
2011.07507
Category
cs.AI: Artificial Intelligence
Citations
3
Venue
2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)
Last Checked
4 months ago
Abstract
Class Scheduling is a highly constrained task. Educational institutes spend a lot of resources, in the form of time and manual computation, to find a satisficing schedule that fulfills all the requirements. A satisficing class schedule accommodates all the students to all their desired courses at convenient timing. The scheduler also needs to take into account the availability of course teachers on the given slots. With the added limitation of available classrooms, the number of solutions satisfying all constraints in this huge search-space, further decreases. This paper proposes an efficient system to generate class schedules that can fulfill every possible need of a typical university. Though it is primarily a fixed-credit scheduler, it can be adjusted for open-credit systems as well. The model is designed in MiniZinc and solved using various off-the-shelf solvers. The proposed scheduling system can find a balanced schedule for a moderate-sized educational institute in less than a minute.
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