Paper Title
Mobile Services For Exam And Class Scheduling Using Genetic Algorithms

There are high number of constraints and criteria for allocation classrooms, instructor in timetable prediction for exams and lectures. This paper presents a method of solution and is about with the implementation of a software which employs Genetic Algorithms (GAs) in the quest for an optimal class timetable generator and serves as mobile service. The automated class timetable is developed at the department of Computer Engineering, Abant İzzetBaysal University, Bolu, Turkey as part of Scientific Research Project. Keywords— Scheduling, Timetabling, Genetic Algorithm, Heuristic Approach.