Scheduling TimeTable using Genetic Algorithm

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The idea is to leverage the power of Genetic Algorithm to solve timetable scheduling problem.

Steps to install

Inside your virtual environment, simply do:

pip install -r requirements.txt

Organization of the code ( inside src )

• data.py : Placeholder where data to be scheduled is kept. Now this is basically acting as the store where the data in the required format from any source can be loaded.

• driver.py : Primary driver we use to prepare the timetable.

• genetic_algorithm.py : Placeholder for the Genetic Algorithm.

• populaton.py : Definition of a population is kept here

• schedule.py : Definition of a schedule is kept here

• utils.py : Few utility functions to facilitate better code organization

• domain/ : The entities we are working with while defining a schedule

  • class : (department, course, instructor, meeting_time, room)
  • course : (name, max_number_of_students,instructors)
  • department : (name, courses)
  • instructor : (name)
  • meeting_time : (time)
  • room : (number, seating_capacity)

Steps to run the code

Once you have the virtual env activated, do the following:

cd src && python driver.py