Adaptive Steady State Genetic Algorithm for scheduling university exams

Scheduling exams timetable, first and second exams, for large number of courses within Al Al-Bayt university departments is a complex problem since it has to be solved by using traditional method, manually by hands. In addition, it takes several days of iterative work by taking feedback from student. We describe an effective solution to solve this problem by using different form of Genetic Algorithm; Steady State Genetic algorithm(SSGA), Enhanced Steady State Genetic Algorithm(ESSGA), and Simple Genetic Algorithm(SGA). After performing a set of tests using real student data from several departments, we found that the ESSGA gains better timetable than other methods.