Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/4135
Title: Application of Genetic Algorithm for Solving University Timetabling Problems: A Case Study of Thai Universities
Authors: Nawat Nuntasen 
Supachate Innet 
Issue Date: 2007
Publisher: University of the Thai Chamber of Commerce
University of the Thai Chamber of Commerce
Source: Nawat Nuntasen, Supachate Innet (2007) Application of Genetic Algorithm for Solving University Timetabling Problems: A Case Study of Thai Universities. UTCC Engineering Research Papers.
Abstract: There are many problems in university timetabling derived from various limitations and constraints. Theycomprise congruence and relation among group of students, subjects, lecturers, rooms, periods and time space.Genetic Algorithm (GA) was applied to deal with these problems. This paper shows the innovation of GA operator inlevel of elements. Fitness functions of chromosomes, GA operators (crossover and mutation) are run through theprocess of this development. Appropriate value testing to search for the most effective point was conducted undervariation of proportion between crossover and mutation. The result of this research displayed that the givenappropriate value of crossover 93% and mutation 7% of GA operator is the best rate to resolve the problem ofuniversity timetabling.
URI: https://scholar.utcc.ac.th/handle/6626976254/4135
ISSN: 1906-1625
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.
Appears in Collections:EN: Journal Articles

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