{"id":"https://openalex.org/W2558459222","doi":"https://doi.org/10.1109/cec.2016.7743984","title":"Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design","display_name":"Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558459222","doi":"https://doi.org/10.1109/cec.2016.7743984","mag":"2558459222"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7743984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/8509932/file/8509945.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023540077","display_name":"Joachim van der Herten","orcid":"https://orcid.org/0000-0001-7116-7850"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Joachim van der Herten","raw_affiliation_strings":["Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025390519","display_name":"Ivo Couckuyt","orcid":"https://orcid.org/0000-0002-9524-4205"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivo Couckuyt","raw_affiliation_strings":["Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068831492","display_name":"Dirk Deschrijver","orcid":"https://orcid.org/0000-0001-6600-1792"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Dirk Deschrijver","raw_affiliation_strings":["Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081846222","display_name":"Tom Dhaene","orcid":"https://orcid.org/0000-0003-2899-4636"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tom Dhaene","raw_affiliation_strings":["Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Internet Based Communication Networks and Services (IBCN), Ghent University - iMinds, Gent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023540077"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14257641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1634","last_page":"1641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.845372200012207},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.7978602647781372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210525870323181},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5321288108825684},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49046632647514343},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4660075306892395},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46331238746643066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4628094732761383},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.427062064409256},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4157376289367676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40546417236328125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39509955048561096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15846753120422363},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10514381527900696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07903096079826355}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.845372200012207},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.7978602647781372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210525870323181},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5321288108825684},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49046632647514343},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4660075306892395},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46331238746643066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4628094732761383},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.427062064409256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4157376289367676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40546417236328125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39509955048561096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15846753120422363},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10514381527900696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07903096079826355},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2016.7743984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8509932","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8509932","pdf_url":"https://biblio.ugent.be/publication/8509932/file/8509945.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 978-1-5090-0622-9","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:8509932","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8509932","pdf_url":"https://biblio.ugent.be/publication/8509932/file/8509945.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 978-1-5090-0622-9","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1638137056","display_name":null,"funder_award_id":"FWO-Vl","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G3231420740","display_name":null,"funder_award_id":"postdoc","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6867476589","display_name":null,"funder_award_id":"FWO-Vlaanderen","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321454","display_name":"Belgian Federal Science Policy Office","ror":"https://ror.org/01fapfv42"},{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2558459222.pdf","grobid_xml":"https://content.openalex.org/works/W2558459222.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W206092380","https://openalex.org/W1485797296","https://openalex.org/W1496317909","https://openalex.org/W1510052597","https://openalex.org/W1618905105","https://openalex.org/W1935090813","https://openalex.org/W1978392040","https://openalex.org/W1993717606","https://openalex.org/W1999932625","https://openalex.org/W2004313618","https://openalex.org/W2013671119","https://openalex.org/W2029959045","https://openalex.org/W2040854421","https://openalex.org/W2066255661","https://openalex.org/W2078805649","https://openalex.org/W2087347434","https://openalex.org/W2092984401","https://openalex.org/W2106944478","https://openalex.org/W2107386393","https://openalex.org/W2111072639","https://openalex.org/W2112147653","https://openalex.org/W2113741278","https://openalex.org/W2119387367","https://openalex.org/W2126105956","https://openalex.org/W2139232409","https://openalex.org/W2140046357","https://openalex.org/W2142635246","https://openalex.org/W2151794096","https://openalex.org/W2152710595","https://openalex.org/W2153635508","https://openalex.org/W2155482699","https://openalex.org/W2201155551","https://openalex.org/W2298122496","https://openalex.org/W2402846924","https://openalex.org/W2911964244","https://openalex.org/W2998216295","https://openalex.org/W3004784263","https://openalex.org/W3120421331","https://openalex.org/W4285719527","https://openalex.org/W4300106150","https://openalex.org/W4301501800","https://openalex.org/W6636501900","https://openalex.org/W6675823452","https://openalex.org/W6676169587","https://openalex.org/W6676515258","https://openalex.org/W6680902802","https://openalex.org/W6682509451","https://openalex.org/W6682642761","https://openalex.org/W6687685423","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2003394143","https://openalex.org/W4225271882","https://openalex.org/W2771206194","https://openalex.org/W4381571012","https://openalex.org/W2053844038","https://openalex.org/W2951489751"],"abstract_inverted_index":{"Constructing":[0],"surrogate":[1,16,38,67],"models":[2],"of":[3,15,23,47,57,65],"high-dimensional":[4],"complex":[5],"black-box":[6],"systems":[7],"from":[8],"simulation-based":[9],"data":[10],"requires":[11],"an":[12],"appropriate":[13,80],"choice":[14],"model":[17,39,81,91],"type,":[18],"as":[19,21,83,85,100],"well":[20,84],"identification":[22],"the":[24,45,61,66,79],"most":[25],"influential":[26],"input":[27,32],"parameters.":[28],"As":[29],"including":[30],"irrelevant":[31],"parameters":[33,59,87],"results":[34],"in":[35],"a":[36,54,86],"longer":[37],"training":[40],"process":[41],"and":[42],"potentially":[43],"increases":[44],"risk":[46],"overfitting,":[48],"it":[49],"is":[50,74],"important":[51],"to":[52,76],"identify":[53,77],"small":[55],"set":[56],"relevant":[58],"during":[60],"adaptive":[62],"modeling":[63,68],"phase":[64],"process.":[69],"A":[70],"multi-objective":[71],"optimization":[72],"step":[73],"proposed":[75],"both":[78],"type":[82],"subset.":[88],"The":[89],"obtained":[90],"can":[92],"be":[93],"used":[94],"for":[95],"evaluation":[96],"intensive":[97],"applications":[98],"such":[99],"exploration,":[101],"sensitivity":[102],"analysis":[103],"or":[104],"optimization.":[105]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}