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  5. A Novel Approach of Genetic Algorithm for Solving University Timetabling Problems: A Case Study of Thai Universities
 
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A Novel Approach of Genetic Algorithm for Solving University Timetabling Problems: A Case Study of Thai Universities

Journal
UTCC Engineering Research Papers
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2007
Author(s)
Nuntasen, Nawat
Innet, Supachate
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
Abstract
University timetabling problems have been interested by many researchers for more than adecade. However, there is no appropriated solution or computation model available to solve these problemssuccessfully. This is because of many different version of timetabling problems. In this paper, a novalapproach of Genetic Algorithm (GA) for solving educational timetabling problem is proposed, including theconstraints statements, the definition of a hierarchical structure for the fitness function, and the generalizedgenetic operators, which can be applied to matrices representing timetables. The paper focuses on lecturingtimetables only, but not the examinational timetabling. The crossover rate and mutation rate were varied toconduct effective results and they shows that the given appropriate crossover rate of 50% and mutation rateof 50% is the best ratio to solve university timetabling problems.
Subject(s)
Computer and Multimedia Engineering
ISSN
1906-1625
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
Nawat Nuntasen, Supachate Innet (2007) A Novel Approach of Genetic Algorithm for Solving University Timetabling Problems: A Case Study of Thai Universities. UTCC Engineering Research Papers.
File(s)
 989fulltext.pdf (551.76 KB)
Views
2
Acquisition Date
Mar 27, 2023
Downloads
16
Acquisition Date
Mar 27, 2023
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