Nurbs Curve Fitting Using Artificial Immune System

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dc.contributor.authorÜlker, Erkan
dc.date.accessioned2020-03-26T18:30:56Z
dc.date.available2020-03-26T18:30:56Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractNon-Uniform Rational B-spline (NURBS) is an industrial standard for Computer Aided Design (CAD) model data representation. For constructing an CAD model from a physical part by curve modeling and dimensional measure, the NURBS design often results in a multi-objective optimization (MOO) problem which cannot be handled as such by traditional single objective optimization algorithms. For large data, this problem needs to be dealt with non-deterministic optimization algorithms achieving global optimum and at the same time getting to the desired solution in an iterative fashion. In order to find a good NURBS model from large number of data, generally the knots, control points and weights are respected as variables. In this paper, the minimization of the fitting error is aimed in order to find a smooth curve and the optimization of the NURBS weights and the knot vector for curve fitting is worked. The heuristic of Artificial Immune System (AIS) was used as a new methodology. The best model was searched among the candidate models by using the Akaike's Information Criteria (AIC). Numerical examples were given in order to show the efficiency of our method.en_US
dc.description.sponsorshipTurkish Scientific and Technological Research Council (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [110E016]en_US
dc.description.sponsorshipThis work is partially supported by Turkish Scientific and Technological Research Council (TUBITAK) under Grant No110E016.en_US
dc.identifier.citationÜlker, E., (2012). Nurbs Curve Fitting Using Artificial Immune System. International Journal of Innovative Computing Information and Control, 8(4), 2875-2887.
dc.identifier.endpage2887en_US
dc.identifier.issn1349-4198en_US
dc.identifier.issn1349-418Xen_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2875en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28263
dc.identifier.volume8en_US
dc.identifier.wosWOS:000302664400032en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÜlker, Erkan
dc.language.isoenen_US
dc.publisherIcic Internationalen_US
dc.relation.ispartofInternational Journal of Innovative Computing Information and Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectCurve approximationen_US
dc.subjectArtificial immune systemen_US
dc.subjectNurbsen_US
dc.subjectControl pointsen_US
dc.subjectKnotsen_US
dc.titleNurbs Curve Fitting Using Artificial Immune Systemen_US
dc.typeArticleen_US

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