Genetic algorithm for exam proctor schedule

This research was aimed to present the methodology of genetic algorithm for exam proctor schedules used in educational institutes. The purpose of the study is to cut down time for organizing each staffs proctoring table. Every staff has equal of proctoring during normal and extra workload. It is also able to avoid exam proctoring on weekend and on the staff engaged duration. In the experiment, the 4 parameter means in the method of genetic algorithm including the number of population, the probability of crossover, the probability of mutation and the maximum number of generations have been adjusted to suit the most appropriate mean. It was found that the staffs proctoring table derived from method of the genetic algorithm can be applied to arrange the lecturers´ exam proctoring tables effectively. The result is the proctoring tables that have the numbers of exam proctoring on the normal and extra workload are equal. It is also able to avoid exam proctoring on weekend and on the staff engaged duration.