An artificial immune system approach for B-spline surface approximation problem

Basit Öğe Kaydı
dc.contributor.authorUlker, Erkan
dc.contributor.authorIsler, Veysi
dc.date.accessioned2020-03-26T17:16:59Z
dc.date.available2020-03-26T17:16:59Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description7th International Conference on Computational Science (ICCS 2007) -- MAY 27-30, 2007 -- Beijing, PEOPLES R CHINAen_US
dc.description.abstractIn surface fitting problems, the selection of knots in order to get an optimized surface for a shape design is well-known. For large data, this problem needs to be dealt with optimization algorithms avoiding possible local optima and at the same time getting to the desired solution in an iterative fashion. Many computational intelligence optimization techniques like evolutionary optimization algorithms, artificial neural networks and fuzzy logic have already been successfully applied to the problem. This paper presents an application of another computational intelligence technique known as "Artificial Immune Systems (AIS)" to the surface fitting problem based on B-Splines. Our method can determine appropriate number and locations of knots automatically and simultaneously. Numerical examples are given to show the effectiveness of our method. Additionally, a comparison between the proposed method and genetic algorithm is presented.en_US
dc.description.sponsorshipChinese Acad Sci, Res Ctr Data Technol & Knowledge Econ, AMID, Springer, World Sci Publishing, Univ Nebraska, CAS, Grad Univ, Chinese Acad Sci, Inst Policy & Management, Univ Amsterdamen_US
dc.description.sponsorshipScientific Research Projects of Selcuk University (in Turkey)en_US
dc.description.sponsorshipThis study has been supported by the Scientific Research Projects of Selcuk University (in Turkey).en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-540-72585-5
dc.identifier.issn0302-9743en_US
dc.identifier.issn1611-3349en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage49en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21206
dc.identifier.volume4488en_US
dc.identifier.wosWOS:000247062900007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.relation.ispartofCOMPUTATIONAL SCIENCE - ICCS 2007, PT 2, PROCEEDINGSen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleAn artificial immune system approach for B-spline surface approximation problemen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu