Manuscript Number : CSEIT206229
Automated Timetable Generation
Authors(5) :-Prajakta Tanksali, Ila Dhond, Shivani Pednekar, Varshanda Singbal, Shruti Sivaraman 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.
Prajakta Tanksali Timetable Generation, Fitness Value, Genetic Algorithm, Chromosomes, Mutation Publication Details Published in : Volume 6 | Issue 2 | March-April 2020 Article Preview
Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology, Karai, Shiroda Goa
Ila Dhond
Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology, Karai, Shiroda Goa
Shivani Pednekar
Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology, Karai, Shiroda Goa
Varshanda Singbal
Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology, Karai, Shiroda Goa
Shruti Sivaraman
Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology, Karai, Shiroda Goa
Date of Publication : 2020-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 96-99
Manuscript Number : CSEIT206229
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT206229
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