title,doi,url,abstract,journal,publication_year,pmid,arxiv
Automated Timetable Generation, https://doi.org/10.32628/CSEIT206229, https://ijsrcseit.com/CSEIT206229, Timetable generation is a complex job for instructors in terms of time and man power. Proposed system will help to generate it automatically along with saving time. It prevents the complexity of setting and managing Timetable manually. Different algorithms like genetic heuristic resource scheduling are used to minimise difficulties faced during generation of timetable. These algorithms consist of a numeral of strategy aimed to improve the cooperativeness of the search operation. The system will take various inputs like number of subjects professors workload of a teacher semester priority of subjects. Depending on these inputs it will generate possible timetables for working days of the week for teaching staff. This will integrate by making optimal use of all the resources in a way that will best suit the constraints. , International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2020, CSEIT206229