Parameter Estimations via Genetic Algorithm in Multiresponse Nonlinear Models

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dc.authorid0000-0001-6503-3872en_US
dc.authorid0000-0002-0339-6050en_US
dc.contributor.authorKarakoca, Aydin
dc.contributor.authorGenc, Asir
dc.date.accessioned2020-12-22T09:21:42Z
dc.date.available2020-12-22T09:21:42Z
dc.date.issued2013en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractMulti-response non-linear models have been used for modelling functional relationship between dependent and independent variable(s) in most of applications. Parameters of multi-response non-linear models can be estimated by least squares (LS) method. Gauss-Newton, Levenberg-Marquardt and Steepest Descent are most widely used algorithms in LS method. These algorithms requires the condition that the function of independent variables can be differentiable at least two times. Also these algorithms have a risk of unreachable solution which depends according to the chosen starting point. In this study as an alternative to these algorithms, genetic algorithm have recommended for parameter estimation in multi-response non-linear models. And then the parameter estimation results of multi-response nonlinear model that obtained by least squares method and genetic algorithm were compared.en_US
dc.identifier.citationKarakoca, A., Genc, A. (2013).Parameter Estimations via Genetic Algorithm in Multiresponse Nonlinear Models. Journal of Selcuk University Natural and Applied Science, 2, (1), 20-27.en_US
dc.identifier.endpage27en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage20en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/40877
dc.identifier.volume2en_US
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGenetic Algorithmen_US
dc.subjectMulti Response Modelen_US
dc.titleParameter Estimations via Genetic Algorithm in Multiresponse Nonlinear Modelsen_US
dc.typeArticleen_US

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