Publication Type
Journal Article
Version
publishedVersion
Publication Date
2004
Abstract
In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental design techniques. Appropriate levels of each parameter are proposed for a particular problem domain. Controversial to existing literature on GA, our computational results reveal that in the case of a dominant set of decision variable the crossover operator does not have a significant impact on the performance measures, whereas high mutation rates are more suitable for GA applications.
Discipline
Business | Physical Sciences and Mathematics
Research Areas
Operations Management
Publication
Journal of Systemics, Cybernetics and Informatics
Volume
4
Issue
2
First Page
78
Last Page
83
ISSN
1690-4524
Publisher
International Institute of Informatics and Cybernetics
Citation
BOYABATLI, Onur and SABUNCUOGLU, Ihsan.
Parameter Selection in Genetic Algorithms. (2004). Journal of Systemics, Cybernetics and Informatics. 4, (2), 78-83.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/841
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