Solving of Scheduling Problem with Heuristic Optimization Approach

In this study, solution of course scheduling problems in student affairs automation used in the universities was carried out using Genetic Algorithm method which is one of Heuristic Optimization approaches. Scheduling problem is the process of placing the works to be done in time intervals at optimum level within the constraints. The solution of this problem at universities becomes impossible with analytic methods since solution space is too wide and there are many constraints. Therefore, giving the best solutions for this type of problems, Genetic Algorithm method was used with a new approach by examining the parameters giving the best results.The performance of the Algorithm was measured by conducting applications over the actual data from the university (504 instructors, 4163 course, 203 classrooms and 10525 students). Algorithm was developed using ASP .NET, C# programming language and SQL Server Database. Interface and reporting pages of student affairs automation were also added to the program for practical use of the Algorithm.