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Please use this identifier to cite or link to this item: http://hdl.handle.net/10059/433
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McCall CEC 2005 GA factors.pdf237.1 kBAdobe PDFView/Open
Title: Statistical optimisation and tuning of GA factors.
Authors: Petrovski, Andrei
Brownlee, Alexander
McCall, John
Issue Date: Sep-2005
Publisher: IEEE
Citation: PETROVSKI, A., BROWNLEE, A. and MCCALL, J., 2005. Statistical optimisation and tuning of GA factors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), Volume 1. 2-5 September 2005. New York: IEEE. pp. 758-764.
Abstract: This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical inference and has been successfully applied to both binary- and integer-encoded Genetic Algorithms that search for good chemotherapeutic schedules.
ISBN: 0780393635
Appears in Collections:Conference publications (Computing)

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