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Genetic Algorithm for Exam Proctor Schedule
Somying Promcharoen,Wirayut Pana,Pimolorn Tanhan 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
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 staff’s 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 staff’s 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.