@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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        rdfs:label              "Expensive Optimisation Exemplified by ECG Simulator Parameter Tuning" , "RDF description of Expensive Optimisation Exemplified by ECG Simulator Parameter Tuning - https://fis.th-koeln.de/vivo/individual/publ_14429" ;
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                <https://fis.th-koeln.de/vivo/individual/cite_14429-2> , <https://fis.th-koeln.de/vivo/individual/cite_14429-1> , <https://fis.th-koeln.de/vivo/individual/cite_14429-0> ;
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        bibo:abstract           "This article describes the tuning of an Electrocardiogram  (ECG) simulator as a benchmark problem to show the application of surrogate modelling in complex global optimisation. After presenting the background on ECG, its simulation and the optimisation task, the main concepts and  methods of surrogate modelling and Efficient Global Optimisation (EGO) are presented. Here, next to the standard  techniques regularly involved in the algorithm, alternative  approaches are discussed briefly. Finally, first results applying the depicted algorithm on the ECG simulator optimisation problem are presented." ;
        bibo:isbn13             "#defaultkonferenzband" , "9789612641382" ;
        bibo:pageEnd            "19" ;
        bibo:pageStart          "15" ;
        vitro:mostSpecificType  thkoeln:Konferenzpaper ;
        vivo:dateTimeValue      <http://cris.nrw/date2018> ;
        vivo:freetextKeyword    "Surrogate Assisted Optimisation" , "ECG" , "Evolutionary Algorithms" ;
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