• Daxesh Brahmbhatt
• Harsh Patel
• Kenil Prajapati
• Jalak Gevariya
• Disha George

The manual system of preparing a timetable in an educational organization with a large number of students is very time-consuming and usually ends up with various classes clashing either in the same room or with the same teachers having more than one class at a time. To overcome all these problems we propose to make an automated system. This system will take various inputs like details of subjects, teachers, availability of classrooms, depending upon these inputs it will generate a possible timetable, making optimal utilization of all resources in a way that will best suit any of constraints or college rules. The scheduling solution presented here is an adaptive one, with a primary aim to solve the issue of clashes of lectures and subjects pertaining to teachers.

Genetic algorithm, Timetable Scheduling, Constraints

"Automatic Timetable Generation Using Genetics Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.a542-a544, January-2022, Available :http://www.jetir.org/papers/JETIR2201071.pdf

"Automatic Timetable Generation Using Genetics Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppa542-a544, January-2022, Available at : http://www.jetir.org/papers/JETIR2201071.pdf