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In this study, Genetic Algorithm method is effectively applied to find a solution for exam-invigilator timetabling problem (ETP) categorized as NP-Complete. Problem consists of two phases starting from assignment of the courses to the appropriate time slots and rooms. After that invigilators are assigned to the exams. Objective of the study is to find a solution which does not have overlaps in exams nor invigilators, while invigilators requests are satisfied as much as possible. Genetic Algorithms are widely used in many areas such as optimization, design, control, scheduling, and artificial intelligence with their great robustness. Factual data from a public university in Turkey is utilized in this case study. According to results, proposed genetic algorithm model has shown a good performance in terms of assigning invigilators to the time slots by fulfilling constraints.

A Novel Qualitative Identification and Control of Two Degree of Freedom Inverted Pendulum based on Ant colony system