Time Table scheduling using genetic algorithm.
Developed by Dipan Nanda and Ashish Shah (c) 2021
from genetictabler import GenerateTimeTable
total_classes = 6
no_courses = 6
slots = 6
total_days = 7
daily_repetition = 3
"""
Variable Definitions:
:param total_classes: It is the count of total number of timetables you want.
Suppose If you 4 batches/student groups for CS freshmen
all studying the same courses/modules/subjects you can
generate 4 different yet coherent yet timetables without
having any clashes.
:param no_courses: It is the count of total number of courses/modules/subjects
that a class or classes are going to be taught. For example
if a class is going to be taught only maths, physics,
chemistry and CS then total count will be 4.
:param slots: It is the count of total lectures that are to be scheduled each
day.
:param total_days: It is the count of total number of days for which you want
to schedule the timetable. For example a weekly timetable
will have total 5/6 days. A monthly schedule can be of 25
days.
:param daily_repetition: It is the maximum allowed number of times a
course/subject/module can have lectures per day. It
is used when the slots count is more than no_courses.
Note:- The table returned by the above function call is a 3-dimensional
list/array. Which is a list of timetables for each class which in itself are
2d arrays.
"""
table = GenerateTimeTable(total_classes, no_courses, slots, total_days, daily_repetition)
for single_table in table.run():
for days in single_table:
print(days)
print("-----------------------------------")
Go here to checkout the complete changelog.
