Automated Timetable Generation

Authors

  • Prajakta Tanksali  Information Technology Department, Goa University, Goa, India
  • Ila Dhond  Shree Rayeshwar Institute of Engineering and Information Technology, Karai Shiroda, Goa, India
  • Shivani Pednekar  Shree Rayeshwar Institute of Engineering and Information Technology, Karai Shiroda, Goa, India
  • Varshanda Singbal  Shree Rayeshwar Institute of Engineering and Information Technology, Karai Shiroda, Goa, India
  • Shruti Sivaraman  Shree Rayeshwar Institute of Engineering and Information Technology, Karai Shiroda, Goa, India

DOI:

https://doi.org/10.32628/CSEIT206393

Keywords:

Fitness function, Genetic Algorithm, Heuristic Algorithm, Score

Abstract

Timetable generation is a complex job for the administration in terms of time and man power. The system proposed will help to generate it automatically thus 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. Depending on these inputs, timetables for working days of the week for teaching staff will be generated. This will integrate by making optimal use of all the resources in a way that will best suit the constraints.

References

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Prajakta Tanksali, Ila Dhond, Shivani Pednekar, Varshanda Singbal, Shruti Sivaraman, " Automated Timetable Generation" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.389-396, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT206393