Abstract:
Courses at most colleges have multiple subjects. Limited faculties teach multiple subjects. Now the time table needed to schedule faculty at provided time slots so that their timings did not overlap and the schedule made best use of all faculty subject demands.
We use a genetic algorithm. Our Timetable Generation algorithm uses a timetable object. Classroom objects, timetables, and fitness scores are in this object. Fitness score is the number of timetable crashes for different class calendars.
Weekly classroom objects. Weeks have Days. Days have timeslots. The timeslot, subject, student gathering, and educator showing the subject are related.
We also used composite configuration design to add or remove as many imperatives. Our inquiry condition is checked between two timetable objects in every obligation class. A crash increases the score by one.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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