{"id":"https://openalex.org/W3146075111","doi":"https://doi.org/10.1109/wsc.2011.6147981","title":"An alternative approach to avoid overfitting for surrogate models","display_name":"An alternative approach to avoid overfitting for surrogate models","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W3146075111","doi":"https://doi.org/10.1109/wsc.2011.6147981","mag":"3146075111"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6147981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076498678","display_name":"Huu Minh Nguyen","orcid":"https://orcid.org/0000-0003-3648-7351"},"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"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Huu Minh Nguyen","raw_affiliation_strings":["IBBT, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"IBBT, Ghent University, Gent, Belgium","institution_ids":["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"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivo Couckuyt","raw_affiliation_strings":["IBBT, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"IBBT, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086573586","display_name":"Luc Knockaert","orcid":null},"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"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Luc Knockaert","raw_affiliation_strings":["IBBT, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"IBBT, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081846222","display_name":"Tom Dhaene","orcid":"https://orcid.org/0000-0003-2899-4636"},"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"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tom Dhaene","raw_affiliation_strings":["IBBT, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"IBBT, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031833237","display_name":"Dirk Gorissen","orcid":null},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dirk Gorissen","raw_affiliation_strings":["School of Engineering Sciences, University of Southampton, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering Sciences, University of Southampton, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001585713","display_name":"Yvan Saeys","orcid":"https://orcid.org/0000-0002-0415-1506"},"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"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Yvan Saeys","raw_affiliation_strings":["VIB, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"VIB, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076498678"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":1.6157,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84659278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2760","last_page":"2771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.9189607501029968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6678960919380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40999776124954224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38059887290000916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09034764766693115}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9189607501029968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678960919380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40999776124954224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38059887290000916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09034764766693115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2011.6147981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"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/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/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1562795804","https://openalex.org/W1981025032","https://openalex.org/W2008769248","https://openalex.org/W2024974798","https://openalex.org/W2063368770","https://openalex.org/W2095710475","https://openalex.org/W2121162457","https://openalex.org/W2153504150","https://openalex.org/W2156909104","https://openalex.org/W2170780515","https://openalex.org/W2306837935","https://openalex.org/W2478738321","https://openalex.org/W2480039772","https://openalex.org/W2495915917","https://openalex.org/W2579923771","https://openalex.org/W3004784263","https://openalex.org/W3022552533","https://openalex.org/W3100743579","https://openalex.org/W4229975695","https://openalex.org/W4233518571","https://openalex.org/W4238086350","https://openalex.org/W4242814720","https://openalex.org/W4244577065","https://openalex.org/W6674394709","https://openalex.org/W6676169587","https://openalex.org/W6732517885"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2186333919","https://openalex.org/W4387297750","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264"],"abstract_inverted_index":{"Surrogate":[0],"models":[1,4,43,69,120],"are":[2,16,70],"data-driven":[3],"used":[5,18,81,123],"to":[6,19,27,76,82,98],"accurately":[7],"mimic":[8],"the":[9,30,39,53,56,68,84,113,116],"complex":[10],"behavior":[11,54],"of":[12,32,41,49,55,86,115,118],"a":[13,46,108,127],"system.":[14],"They":[15],"often":[17,80],"approximate":[20],"computationally":[21,92],"expensive":[22,93],"simulation":[23],"code":[24],"in":[25,38,71,124],"order":[26],"speed":[28],"up":[29],"exploration":[31],"design":[33],"spaces.":[34],"A":[35],"crucial":[36],"step":[37],"building":[40],"surrogate":[42,87,119],"is":[44,59,79,91,131],"finding":[45],"good":[47],"set":[48],"hyperparameters,":[50],"which":[51],"determine":[52],"model.":[57],"This":[58,105],"especially":[60],"important":[61],"when":[62,122],"dealing":[63],"with":[64,126],"sparse":[65],"data,":[66],"as":[67],"that":[72],"case":[73],"more":[74],"prone":[75],"overfitting.":[77],"Cross-validation":[78],"optimize":[83],"hyperparameters":[85,117],"models,":[88],"however":[89],"it":[90],"and":[94,133],"can":[95],"still":[96],"lead":[97],"overfitting":[99],"or":[100],"other":[101],"erratic":[102],"model":[103,138],"behavior.":[104,139],"paper":[106],"introduces":[107],"new":[109],"auxiliary":[110],"measure":[111],"for":[112],"optimization":[114],"which,":[121],"conjunction":[125],"cheap":[128],"accuracy":[129],"measure,":[130],"fast":[132],"effective":[134],"at":[135],"avoiding":[136],"unexplained":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}