An Enhanced Population Selection Algorithm for Timetabling System

The timetable preparation for systems that are based on credit hours is a challenge for heads of departments. Departments have to prepare their timetables, where the problem is increased when a department serves other departments with some courses. Also, university’s management cannot assure that the offered courses are more than the needs or not. Many algorithms have been tested without an optimal solution. A new proposed algorithm which is called the Enhanced Population Selection (EPS) Algorithm has been implemented and tested with a suitable number of students, courses, lecturers, and venues that is based on the harmony search algorithm and genetic algorithm. The new proposed EPS algorithm has scheduled the timetables for two semesters with academic advisors satisfaction without conflicts. Furthermore, all specified constraints are tested and satisfied