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Yayın A genetic algorithm for final exam scheduling of Işık University(Işık Üniversitesi, 2013-05-07) Yıldırım, Seda; Atan, Sabri Tankut; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Endüstri Mühendisliği Yüksek Lisans ProgramıExam timetabling is a widely encountered scheduling problem at educational institutions. Typically, exam timetabling problems involve some hard constraints and several soft constraints that may vary from one institution to another. One of the soft constraints is that as few students as possible should have more than a predefined number of exams on the same day. At Isik University, if students have more than two exams on the same day they are allowed to ask for makeup exams for the extra exams. While integer programming formulations with other constraints of Isik University could be solved to optimality via commercial solvers, incorporating the daily exam limitation rule proved to be intractable. Hence a genetic algorithm was developed. Using data from several semesters, numerical experiments were conducted to tune the developed genetic algorithm's parameters and test it. The new metaheuristic algorithm was also coded in Java programming language and integrated into finexa, the internally developed exam timetabling software at Isik University.
