<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-IOK8WIL8/81278836-b4b8-4c89-a451-965f8ef90a43/PDF"><dcterms:extent>1077 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-IOK8WIL8/6784bad4-3d47-4669-a4d5-2fd94dcac4c2/TEXT"><dcterms:extent>50 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="1973-2025"><edm:begin xml:lang="en">1973</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-IOK8WIL8"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-KHWREVIC" /><dcterms:issued>2022</dcterms:issued><dc:creator>Batilović, Mehmed</dc:creator><dc:creator>Bulatović, Vladimir</dc:creator><dc:creator>Kanović, Željko</dc:creator><dc:creator>Marković, Marko Z.</dc:creator><dc:creator>Sušić, Zoran</dc:creator><dc:format xml:lang="sl">številka:1</dc:format><dc:format xml:lang="sl">letnik:66</dc:format><dc:format xml:lang="sl">str. 60-75</dc:format><dc:identifier>ISSN:0351-0271</dc:identifier><dc:identifier>DOI:10.15292/geodetski-vestnik.2022.01.60-75</dc:identifier><dc:identifier>COBISSID_HOST:107021827</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-IOK8WIL8</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Zveza geodetov Slovenije</dc:publisher><dcterms:isPartOf xml:lang="sl">Geodetski vestnik</dcterms:isPartOf><dc:subject xml:lang="en">generalised particle swarm optimisation</dc:subject><dc:subject xml:lang="en">genetic algorithm</dc:subject><dc:subject xml:lang="sl">genetski algoritem</dc:subject><dc:subject xml:lang="en">robust deformation analysis</dc:subject><dc:subject xml:lang="sl">robustna deformacijska analiza</dc:subject><dc:subject xml:lang="sl">splošni algoritem optimizacije roja delcev</dc:subject><dcterms:temporal rdf:resource="1973-2025" /><dc:title xml:lang="sl">Deformation analysis: the modified GREDOD method| Deformacijska analiza po modificirani metodi GREDOD|</dc:title><dc:description xml:lang="sl">In this paper, a modi$ed Generalised Robust Estimation of Deformation from Observation Di%erences (GREDOD) method is presented, based on the application of genetic algorithm (GA) and generalised particle swarm optimisation (GPSO) algorithm in solving the optimisation problem of this method, which is, in essence, a problem of determining the optimal datum of the displacement vector. &amp;e procedure of deformation analysis using this modi$cation of the GREDOD method is demonstrated in the example of the two-dimensional geodetic network presented in numerous research and in which all observations and displacements were simulated. Using both algorithms, GA and GPSO, almost identical results of deformation analysis were obtained, except datum solutions of the displacement vector, which are completely di%erent. &amp;ese results di%er only slightly from the results obtained using the methods of Hannover, Karlsruhe, Delft, Fredericton, München, Caspary, and the classical robust method</dc:description><dc:description xml:lang="sl">V prispevku je predstavljena modi$cirana splošna robustna ocena deformacij iz razlike opazovanj (GREDOD), ki temelji na uporabi genetskega algoritma (GA) in splošnega algoritma optimizacije roja delcev (GPSO) za reševanje optimizacijskega problema te metode, pri čemer gre za problem določitve optimalnega datuma vektorja premika. Postopek deformacijske analize s to modi$kacijo metode GREDOD je prikazan na primeru dvodimenzionalne geodetske mreže, predstavljene v številnih raziskavah, v katerih so bila simulirana vsa opazovanja in premiki. Z uporabo obeh algoritmov GA in GPSO smo dobili skoraj enake rezultate deformacijske analize kot z metodami Hannover, Karlsruhe, Delft, Fredericton, München, Caspary in klasičnimi robustnimi metodami, le rešitve datuma vektorja premika so popolnoma različne</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-IOK8WIL8"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-IOK8WIL8" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-IOK8WIL8/81278836-b4b8-4c89-a451-965f8ef90a43/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Zveza geodetov Slovenije</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-IOK8WIL8/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-IOK8WIL8" /></ore:Aggregation></rdf:RDF>