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Course Timetabling via Genetic Algorithms: A Real Case

by Ricardo T.A. De Oliveira, Filippo C´esar G. R´egis, Paulo Renato A. Firmino, Tiago A.E. Ferreira
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 10
Year of Publication: 2015
Authors: Ricardo T.A. De Oliveira, Filippo C´esar G. R´egis, Paulo Renato A. Firmino, Tiago A.E. Ferreira
10.5120/ijca2015907400

Ricardo T.A. De Oliveira, Filippo C´esar G. R´egis, Paulo Renato A. Firmino, Tiago A.E. Ferreira . Course Timetabling via Genetic Algorithms: A Real Case. International Journal of Computer Applications. 131, 10 ( December 2015), 1-5. DOI=10.5120/ijca2015907400

@article{ 10.5120/ijca2015907400,
author = { Ricardo T.A. De Oliveira, Filippo C´esar G. R´egis, Paulo Renato A. Firmino, Tiago A.E. Ferreira },
title = { Course Timetabling via Genetic Algorithms: A Real Case },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 10 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number10/23482-2015907400/ },
doi = { 10.5120/ijca2015907400 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:54.476075+05:30
%A Ricardo T.A. De Oliveira
%A Filippo C´esar G. R´egis
%A Paulo Renato A. Firmino
%A Tiago A.E. Ferreira
%T Course Timetabling via Genetic Algorithms: A Real Case
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 10
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Courses timetabling has been one of the main problems for planning, maintaining and optimizing educational institutions. However, the intriguing mathematical problem which usually result from the attempt of promoting optimal courses timetabling has prevented a widely dedication of education managers to this area. The present paper aims to summarize the usefulness of approximate techniques (e:g: genetic algorithms) for dealing with courses timetabling. In particular, the successful application of the resulting algorithm in a Brazilian university center is highlighted.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Timetabling Genetic Algorithms Scheduling Problem

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