Examination Timetabling Problem

The Examination Timetabling Problem (ETTP) focuses on creating optimal schedules for exams, considering constraints like student conflicts, room availability, and exam durations. Current research emphasizes robust solutions that account for uncertainties, such as late student registrations, and explores the effectiveness of various algorithms, including genetic algorithms hybridized with local search and machine learning-based algorithm selection systems, across diverse problem instances. This research is significant for improving the efficiency and fairness of exam scheduling in educational institutions and contributes to the broader field of combinatorial optimization by providing insights into algorithm performance and problem characteristics.