GRENZE International Journal of Engineering and Technology
Vol. 9
(2023), Issue 2
Smart Time Table Generation using Artificial Intelligence
Authors
Sukhwant Kour Siledar, Vijaya B. Musande
Abstract
For any educational institutions be it a small-scale school or a college or huge institutions like universities, time tabling is a very important and tedious task. It concerns all activities with regard to producing a schedule that must be subjective to different constraints. Being dependent on various constraints, it is a temporal arrangement of courses, faculty and students hence it requires changes every now and then. Creating such time tables manually especially with large scale institutions like universities, leaves scope for clashes and human errors. To overcome these problems automated time table generation using AI can save a lot of time of administrators and manpower. Such an automated system will require various inputs like course details, infrastructure, teachers available and strength of class, and will aim to make most optimized utilization of all these resources in a way to best suit any of constraints of college rules. A precise time table will then be chosen from generated solutions. Time table is scheduled for various purposes like organizing lectures, bus schedules, exam time tables and many more. In our proposed model we will make an approach to build a model that can automate time tables to serve various scheduling purposes using Evolutionary Algorithm (EA) and Genetic Algorithm (GA), and further can be integrated with ERP of institutes for ease of data fetching. This technique allows one to make an attempt to create time table with reduced errors and mistakes in the least time
Pages:
1040 - 1045