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?
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?
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