You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
we will have faculty load (i.e. teachers load), classrooms, class data (to whom the subjects are assigned e.g. BSCS 5A), and course data. Teachers will be assigned to courses. Now, the genetic algorithm will give us a solution that removes teachers and classroom clashes. The generated timetable will also have a feature that will minimize the gap hours (break periods) of classes.
Could you guide me on how to implement the algorithm while keeping all the above constraints in mind?
My Gratitudes
The text was updated successfully, but these errors were encountered:
we will have faculty load (i.e. teachers load), classrooms, class data (to whom the subjects are assigned e.g. BSCS 5A), and course data. Teachers will be assigned to courses. Now, the genetic algorithm will give us a solution that removes teachers and classroom clashes. The generated timetable will also have a feature that will minimize the gap hours (break periods) of classes.
Could you guide me on how to implement the algorithm while keeping all the above constraints in mind?
My Gratitudes
The text was updated successfully, but these errors were encountered: