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University Timetabling Using Evolutionary Computation
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File(s)
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2007
ISSN
1906-1625
Resource Type
Journal article
Language
English
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)
Journal
UTCC Engineering Research Papers
Access Rights
Open access
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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
University of the Thai Chamber of Commerce
Bibliographic Citation
Supachate Innet, Nawat Nuntasen (2007) University Timetabling Using Evolutionary Computation. UTCC Engineering Research Papers.