genetictabler 1.0.3

Time Table scheduling using Genetic Algorithm.

GeneticTabler

Time Table scheduling using genetic algorithm.

Developed by Dipan Nanda and Ashish Shah (c) 2021

Example of Usage

from genetictabler import generate_timetable

total_classes = 4
no_courses = 8
slots = 6
total_days = 7
daily_repetition = 3


"""
Variable Definitions:

-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.

-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.

-slots:		it is the count of total lectures that are 
		to be scheduled each day. 

-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.

-daily_repitition:
		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 
"""


table = generate_timetable(
    total_classes,
    no_courses,
    slots,
    total_days,
    daily_repetition,
)

# The table returned by the above function call is a 3-dimensional list/array
# It is a list of timetables for each class which in itself are 2d arrays.


# Loop to print all the timetables. 
for i in table:
    for j in class:
        print(j)
    print("-----------------------------------")

Changelog

Go here to checkout the complete changelog.

License

This is under GNU GPL v3.0 License