Automatic Scheduling System using AI

Authors

  • Apurva D Kolhe
  • Chaitali D Patil
  • Mitali A Aherrao
  • Riyanka S Rai
  • DL Tidke

Keywords:

Agile, Genetic Algorithm, Hard Constraints, Random Adaptive Search, Soft Constraints

Abstract

The traditional method of manually creating a timetable is very tedious
and time consuming, due to this many times different problems occur
like various classes may clash, extra load on certain teachers and this
all may ultimately affect the curriculum of students. To overcome all
these problems we propose an automated timetable scheduling system.
This system will be capable of handling both hard and soft constraints
which are specially required for preparing timetables in colleges where
there is a large number of students and limited classrooms, labs and
faculties as well as limited time to complete the curriculum considering
the exam period. We propose a system which will take faculty details,
allocated subjects and number of classrooms and labs available as well
as hours allocated by the university as an input. Once the final timetable
is generated, separate timetables for faculty, labs and different classes
will be available as an output. It will also keep a track of previous year’s
generated timetables.

Author Biography

Apurva D Kolhe

Department of Computer
Engineering, KBTCOE, Nashik, Maharashtra,
India.

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Published

2019-12-30