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January 1, 2026International Journal of Intelligent Information and Database SystemsOpen Access

A GWO-based approach to university exam timetabling problem: a case study

Van du Nguyen Tram Nguyen

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Key Points

This research aims to develop an efficient method for solving university exam timetabling problems using GWO (Grey Wolf Optimization).
Applied GWO algorithm for scheduling exams at a university.
Addressed constraints related to room availability and exam conflicts.
Conducted a case study for practical application of the solution.
Achieved improved exam schedules with minimal conflicts.
Reduced overall exam duration compared to traditional methods.
Demonstrated feasibility of GWO for complex timetabling challenges.

Implication

Exam timetabling optimization is demonstrated in a university setting, highlighting its effectiveness for scheduling.

Abstract

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Cite This Study

Nguyen et al. (2026) studied this question.

synapsesocial.com/papers/69a3d824ec16d51705d2ec26 https://doi.org/10.1504/ijiids.2026.10076589

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