Application of the Sign-Constrained Robust Least-Squares Method to Surveying Networks

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dc.contributor.authorYetkin, Mevlut
dc.contributor.authorBerber, Mustafa
dc.date.accessioned2020-03-26T18:41:08Z
dc.date.available2020-03-26T18:41:08Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe least-squares (LS) method is highly susceptible to outlying observations. For this reason, various types of robust estimators have been developed; for example, M estimators. In this paper, it is proposed to use the sign-constrained robust LS (SRLS) method in surveying networks utilizing the shuffled frog-leaping algorithm (SFLA). The robustness of SRLS is directly implemented as constraints. Therefore, a penalty function approach is used to deal with the constraints. In addition, the performance of any stochastic optimization approach such as SFLA strongly depends on the search domain. Hence, a strategy to define the boundaries of the search domain has been developed for use in surveying networks. The results indicate that SRLS yields better results than the LS method even if there are more outliers among the observations. DOI: 10.1061/(ASCE)SU.1943-5428.0000088. (C) 2013 American Society of Civil Engineers.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.description.sponsorshipThe first author is grateful for the support by the Scientific and Technological Research Council of Turkey for his research at Florida Atlantic University.en_US
dc.identifier.doi10.1061/(ASCE)SU.1943-5428.0000088en_US
dc.identifier.endpage65en_US
dc.identifier.issn0733-9453en_US
dc.identifier.issn1943-5428en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage59en_US
dc.identifier.urihttps://dx.doi.org/10.1061/(ASCE)SU.1943-5428.0000088
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29234
dc.identifier.volume139en_US
dc.identifier.wosWOS:000317428700006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherASCE-AMER SOC CIVIL ENGINEERSen_US
dc.relation.ispartofJOURNAL OF SURVEYING ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSign-constrained robust least squaresen_US
dc.subjectShuffled frog-leaping algorithmen_US
dc.subjectPenalty functionen_US
dc.subjectSearch domainen_US
dc.subjectSurveying networken_US
dc.titleApplication of the Sign-Constrained Robust Least-Squares Method to Surveying Networksen_US
dc.typeArticleen_US

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