The Future of Scheduling: AI-Based Automated...

The Future of Scheduling: AI-Based Automated Timetable Generator

Author Name : Pallavi Kanawade, Chaitanya Unavane, Sarthak Rathi, Pradnya Mehta, Khushi Agrawal, Vijay Marathe

ABSTRACT The use of automative timetable generator based on artificial intelligence in particular GA solves the restriction of timetable complexity. Manual activity can be very time consuming, has a lot of guess work involved and will often inadequate to handle the many constraints. The function of generating the best timetable that satisfies the hard constraint of not having identical classes and soft-one of not having less gaps in teacher’s and student’s schedule, has implemented this AI based system in minimizing the problems of generating timetable. For essential input data, any number of teachers available, any number of seats in a particular room and number of time slots, the system deals. As each of the chromosome holds a full schedule, an initial population of random timetable assignments are generated by using the genetic algorithms. Each of the solutions they are given is operated a fitness function which scores how much each solution approaches the solutions being worked with in this problem. The algorithm optimizes solutions in order to get through the iteration selection of the fittest mates that couples, cross over, and mutation operations. If in any generation the best schedule plan is created or the highest number of generations has been generated, then the process stops. Subsequent stages are optional, and if necessary, optional corrections are possible. Being an AI based system, this generator is freeing up the faculty from a lot of administrative work because this is a system that will draw an efficient and perfect timetable for a large scale. Interaction in real time with users allows administrators to tune preferences and monitor progress. As a result, it is highly effective for educational organizations.