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Automatic Timetable Generation using Genetic Algorithm

by Williams Kehinde Oladipo, Ajayi Olutayo Bamidele, Ajinaja Micheal Olalekan
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 19
Year of Publication: 2019
Authors: Williams Kehinde Oladipo, Ajayi Olutayo Bamidele, Ajinaja Micheal Olalekan
10.5120/ijais2019451779

Williams Kehinde Oladipo, Ajayi Olutayo Bamidele, Ajinaja Micheal Olalekan . Automatic Timetable Generation using Genetic Algorithm. International Journal of Applied Information Systems. 12, 19 ( February 2019), 1-3. DOI=10.5120/ijais2019451779

@article{ 10.5120/ijais2019451779,
author = { Williams Kehinde Oladipo, Ajayi Olutayo Bamidele, Ajinaja Micheal Olalekan },
title = { Automatic Timetable Generation using Genetic Algorithm },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2019 },
volume = { 12 },
number = { 19 },
month = { February },
year = { 2019 },
issn = { 2249-0868 },
pages = { 1-3 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number19/1047-2019451779/ },
doi = { 10.5120/ijais2019451779 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:09:32.096964+05:30
%A Williams Kehinde Oladipo
%A Ajayi Olutayo Bamidele
%A Ajinaja Micheal Olalekan
%T Automatic Timetable Generation using Genetic Algorithm
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 19
%P 1-3
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The generation of timetables has always been tedious right from time and apart from being tedious, the timetable created has always been filled with series of errors and mistakes. So many techniques have been put forward to solving this problem. In this paper, genetic Algorithm was used by creating a group of time series randomly from a given time and courses in other to find a solution to the timetable problems. The courses thus formed are evaluated with the help of the evaluation function. system administrator logs into the system and then the administrator input the courses with their codes and the unit. At that point, the admin will keep adding until the number of courses needed has been inputted. The admin can remove a course that has been inputted in the case of error. After inputting the courses, it moves to the next page where all the lecture halls or rooms that will be used will be inputted. After inputting these, the system then generates the timetable system. This technique (genetic algorithm) used helps in reducing to barest minimum, errors and mistakes in encountered in developing an automatic timetable.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic; timetable; generation; genetic; algorithm

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