{"id":"https://openalex.org/W3152759358","doi":"https://doi.org/10.1145/3449639.3459306","title":"A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning","display_name":"A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3152759358","doi":"https://doi.org/10.1145/3449639.3459306","mag":"3152759358"},"language":"en","primary_location":{"id":"doi:10.1145/3449639.3459306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449639.3459306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3449639.3459306","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3449639.3459306","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006864822","display_name":"Arkadiy Dushatskiy","orcid":"https://orcid.org/0000-0003-0945-0262"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Arkadiy Dushatskiy","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica, Amsterdam, the Netherlands","[Centrum Wiskunde & Informatica]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica, Amsterdam, the Netherlands","institution_ids":["https://openalex.org/I1341640284"]},{"raw_affiliation_string":"[Centrum Wiskunde & Informatica]","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025122230","display_name":"Tanja Alderliesten","orcid":"https://orcid.org/0000-0003-4261-7511"},"institutions":[{"id":"https://openalex.org/I2800006345","display_name":"Leiden University Medical Center","ror":"https://ror.org/05xvt9f17","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800006345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tanja Alderliesten","raw_affiliation_strings":["Leiden University Medical Center, Leiden, the Netherlands","LEIDEN UNIVERSITY (MEDICAL CENTER)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University Medical Center, Leiden, the Netherlands","institution_ids":["https://openalex.org/I2800006345"]},{"raw_affiliation_string":"LEIDEN UNIVERSITY (MEDICAL CENTER)","institution_ids":["https://openalex.org/I2800006345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031539135","display_name":"Peter A. N. Bosman","orcid":"https://orcid.org/0000-0002-4186-6666"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter A. N. Bosman","raw_affiliation_strings":["TU Delft, Delft, The Netherlands","[Centrum Wiskunde & Informatica]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Delft, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"[Centrum Wiskunde & Informatica]","institution_ids":["https://openalex.org/I1341640284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4395,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59274653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6825135946273804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6470708847045898},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6141239404678345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6124142408370972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961383581161499},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5207238793373108},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5041824579238892},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.48667293787002563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.373757541179657},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34337419271469116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21459192037582397},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.1564168632030487}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6825135946273804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6470708847045898},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6141239404678345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6124142408370972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961383581161499},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5207238793373108},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5041824579238892},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.48667293787002563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.373757541179657},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34337419271469116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21459192037582397},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.1564168632030487},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1145/3449639.3459306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449639.3459306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3449639.3459306","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.08048","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.08048","pdf_url":"https://arxiv.org/pdf/2104.08048","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire_cris_publications/8a87a5ae-44ed-4c1b-bd69-9351108cea6e","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/8a87a5ae-44ed-4c1b-bd69-9351108cea6e","pdf_url":"https://pure.amsterdamumc.nl/ws/files/142072655/A-novel-surrogate-assisted-evolutionary-algorithm-applied-to-partition-based-ensemble-learning.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:3152759358","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2104.08048","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:amcpub:oai:pure.amc.nl:publications/11d5fc64-1998-408d-a8f4-24caffaf592b","is_oa":true,"landing_page_url":"https://pure.amc.nl/en/publications/a-novel-surrogateassisted-evolutionary-algorithm-applied-to-partitionbased-ensemble-learning(11d5fc64-1998-408d-a8f4-24caffaf592b).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"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":"GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference, 583 - 591","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:tudelft.nl:uuid:d0aac26d-bff0-4fa7-8d43-a377736f73c5","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:d0aac26d-bff0-4fa7-8d43-a377736f73c5","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},{"id":"doi:10.48550/arxiv.2104.08048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.08048","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3449639.3459306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3449639.3459306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3449639.3459306","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6216667842","display_name":"FEDMix: Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis","funder_award_id":"628.011.012","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3152759358.pdf","grobid_xml":"https://content.openalex.org/works/W3152759358.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1122046837","https://openalex.org/W1615009756","https://openalex.org/W1800271513","https://openalex.org/W1967808171","https://openalex.org/W2025135622","https://openalex.org/W2088034357","https://openalex.org/W2092076923","https://openalex.org/W2106411961","https://openalex.org/W2113207845","https://openalex.org/W2113525559","https://openalex.org/W2116926066","https://openalex.org/W2125437500","https://openalex.org/W2295598076","https://openalex.org/W2419109832","https://openalex.org/W2511482616","https://openalex.org/W2557487042","https://openalex.org/W2750387120","https://openalex.org/W2802235618","https://openalex.org/W2803103814","https://openalex.org/W2805557887","https://openalex.org/W2885091354","https://openalex.org/W2885820039","https://openalex.org/W2898227265","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2936599103","https://openalex.org/W2954532028","https://openalex.org/W2964212578","https://openalex.org/W2964444661","https://openalex.org/W2965658867","https://openalex.org/W2970072783","https://openalex.org/W2976734616","https://openalex.org/W3011855444","https://openalex.org/W3016781605","https://openalex.org/W3021621050","https://openalex.org/W3034713951","https://openalex.org/W3102476541","https://openalex.org/W3111489609","https://openalex.org/W4212883601","https://openalex.org/W6676179485","https://openalex.org/W6753278433"],"related_works":["https://openalex.org/W3177258403","https://openalex.org/W3196537675","https://openalex.org/W2785988364","https://openalex.org/W2094914016","https://openalex.org/W3121256045","https://openalex.org/W3007698149","https://openalex.org/W2800879376","https://openalex.org/W3103418275","https://openalex.org/W2100027731","https://openalex.org/W3083388096","https://openalex.org/W2922384022","https://openalex.org/W3038603278","https://openalex.org/W3093134361","https://openalex.org/W3014226417","https://openalex.org/W2554547448","https://openalex.org/W2998666186","https://openalex.org/W3142488905","https://openalex.org/W1988172693","https://openalex.org/W3181875459","https://openalex.org/W3185224095"],"abstract_inverted_index":{"We":[0,13,47,70],"propose":[1],"a":[2,15,26,61,81,90],"novel":[3],"surrogate-assisted":[4],"Evolutionary":[5],"Algorithm":[6,35],"for":[7,21,42,177],"solving":[8,43],"expensive":[9,101,128],"combinatorial":[10,45,91],"optimization":[11,93,129,162],"problems.":[12,46],"integrate":[14],"surrogate":[16],"model,":[17],"which":[18],"is":[19,60,88,124],"used":[20,111],"fitness":[22,121,174],"value":[23],"estimation,":[24],"into":[25],"state-of-the-art":[27],"P3-like":[28],"variant":[29],"of":[30,73,80,120],"the":[31,39,49,84,118,140],"Gene-Pool":[32],"Optimal":[33],"Mixing":[34],"(GOMEA)":[36],"and":[37,143],"adapt":[38],"resulting":[40],"algorithm":[41,51,153],"non-binary":[44,92],"test":[48],"proposed":[50,152],"on":[52,77],"an":[53,115,149,178],"ensemble":[54,179],"learning":[55,180],"problem.":[56,94],"Ensembling":[57],"several":[58,74,172],"models":[59,75],"common":[62],"Machine":[63],"Learning":[64],"technique":[65],"to":[66,166,184],"achieve":[67],"better":[68,155,168],"performance.":[69],"consider":[71],"ensembles":[72],"trained":[76],"disjoint":[78],"subsets":[79],"dataset.":[82],"Finding":[83],"best":[85],"dataset":[86],"partitioning":[87],"naturally":[89],"Fitness":[95],"function":[96,122,175],"evaluations":[97,123,176],"can":[98],"be":[99],"extremely":[100],"if":[102],"complex":[103],"models,":[104],"such":[105],"as":[106,112,146],"Deep":[107],"Neural":[108],"Networks,":[109],"are":[110],"learners":[113,147],"in":[114,148],"ensemble.":[116,150],"Therefore,":[117],"number":[119],"typically":[125],"limited,":[126],"necessitating":[127],"techniques.":[130],"In":[131],"our":[132],"experiments":[133],"we":[134],"use":[135],"five":[136],"classification":[137],"datasets":[138],"from":[139],"OpenML-CC18":[141],"benchmark":[142],"Support-vector":[144],"Machines":[145],"The":[151],"demonstrates":[154],"performance":[156],"than":[157],"alternative":[158],"approaches,":[159],"including":[160],"Bayesian":[161],"algorithms.":[163],"It":[164],"manages":[165],"find":[167],"solutions":[169],"using":[170],"just":[171],"thousand":[173],"problem":[181],"with":[182],"up":[183],"500":[185],"variables.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2022-07-25T00:00:00"}
