Automated time table scheduling system

This paper presented an Automated Time Table Scheduling System based on Genetic Algorithm optimization. The proposed approach efficiently handles timetable generation by satisfying hard constraints and optimizing soft constraints. The system reduces manual effort, improves scheduling accuracy, and generates feasible timetables within a short duration. The implementation demonstrates that Genetic Algorithms provide an effective solution for academic scheduling problems. Future enhancements may include classroom allocation, attendance integration, cloud deployment, and advanced optimization techniques for larger institutions.

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