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Journal of Systemics, Cybernetics and Informatics

Article . 2004

Data sources: DOAJ

Bilkent University Institutional Repository

Article . 2004

Data sources: Bilkent University Institutional Repository

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Parameter Selection in Genetic Algorithms

Name: Parameter Selection in Genetic Algorithms
Keywords: Optimization, Genetic Algorithm, Factorial Design, Parameter selection, Communication. Mass media, Physical Sciences and Mathematics, Business, Factorial design, Information technology, T58.5-58.64

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2004 Singapore, Turkey English Publisher:International Institute of Informatics and CyberneticsJournal:Journal of Systemics, Cybernetics and Informatics (issn: 1690-4524,

Authors: BOYABATLI, Onur; SABUNCUOGLU, Ihsan;

handle: 11693/49280

Parameter Selection in Genetic Algorithms

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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.

Countries

Singapore, Turkey

Related Organizations

Singapore Management University
Singapore
Bilkent University
Turkey

Keywords

Optimization, Genetic Algorithm, Factorial Design, Parameter selection, Communication. Mass media, Physical Sciences and Mathematics, Business, Factorial design, Information technology, T58.5-58.64, P87-96, Simulation

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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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