{"id":"https://openalex.org/W3192464041","doi":"https://doi.org/10.1109/cec45853.2021.9504718","title":"Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection","display_name":"Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192464041","doi":"https://doi.org/10.1109/cec45853.2021.9504718","mag":"3192464041"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.09074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045149972","display_name":"Mohammed Ghaith Altarabichi","orcid":"https://orcid.org/0000-0002-6040-2269"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mohammed Ghaith Altarabichi","raw_affiliation_strings":["Center for Applied Intelligent Systems Research, Halmstad University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032811876","display_name":"S\u0142awomir Nowaczyk","orcid":"https://orcid.org/0000-0002-7796-5201"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Slawomir Nowaczyk","raw_affiliation_strings":["Center for Applied Intelligent Systems Research, Halmstad University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065509988","display_name":"Sepideh Pashami","orcid":"https://orcid.org/0000-0003-3272-4145"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sepideh Pashami","raw_affiliation_strings":["Center for Applied Intelligent Systems Research, Halmstad University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022044150","display_name":"Peyman Sheikholharam Mashhadi","orcid":"https://orcid.org/0000-0002-0051-0954"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Peyman Sheikholharam Mashhadi","raw_affiliation_strings":["Center for Applied Intelligent Systems Research, Halmstad University, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Applied Intelligent Systems Research, Halmstad University, Sweden","institution_ids":["https://openalex.org/I746986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9795,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80760848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"776","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.9993000030517578,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6751395463943481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687368154525757},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6479078531265259},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6463901996612549},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6459240317344666},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5921390056610107},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5738211274147034},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.552730917930603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4964004158973694},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.41356202960014343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3760290741920471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3746371865272522},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3681565523147583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3229656219482422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2132025957107544}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6751395463943481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687368154525757},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6479078531265259},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6463901996612549},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6459240317344666},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5921390056610107},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5738211274147034},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.552730917930603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4964004158973694},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.41356202960014343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3760290741920471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3746371865272522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3681565523147583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3229656219482422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2132025957107544},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec45853.2021.9504718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.09074","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.09074","pdf_url":"https://arxiv.org/pdf/2111.09074","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.09074","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.09074","pdf_url":"https://arxiv.org/pdf/2111.09074","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W14214433","https://openalex.org/W72904796","https://openalex.org/W75550020","https://openalex.org/W138307710","https://openalex.org/W1487321909","https://openalex.org/W1514048016","https://openalex.org/W1559923427","https://openalex.org/W1938538487","https://openalex.org/W1952835952","https://openalex.org/W1968703694","https://openalex.org/W1987414171","https://openalex.org/W1987888496","https://openalex.org/W1994326354","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2015743664","https://openalex.org/W2015954856","https://openalex.org/W2017337590","https://openalex.org/W2075779886","https://openalex.org/W2090711451","https://openalex.org/W2103385178","https://openalex.org/W2137462201","https://openalex.org/W2165395862","https://openalex.org/W2166856932","https://openalex.org/W2168825483","https://openalex.org/W2272535718","https://openalex.org/W2343420905","https://openalex.org/W2546945975","https://openalex.org/W2791315675","https://openalex.org/W2794866761","https://openalex.org/W2883440102","https://openalex.org/W2890843359","https://openalex.org/W2891186800","https://openalex.org/W2948110362","https://openalex.org/W2997585558","https://openalex.org/W3004260685","https://openalex.org/W6600554218","https://openalex.org/W6602973286","https://openalex.org/W6603061937"],"related_works":["https://openalex.org/W2106492215","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2326694407","https://openalex.org/W2489890244","https://openalex.org/W2082859007","https://openalex.org/W2550292406","https://openalex.org/W1606502848","https://openalex.org/W2164831575","https://openalex.org/W2378719652"],"abstract_inverted_index":{"Feature":[0],"selection":[1,28,58],"is":[2,112],"an":[3],"intractable":[4],"problem,":[5],"therefore":[6],"practical":[7],"algorithms":[8,126],"often":[9],"trade":[10],"off":[11],"the":[12,16,54,80,84,94,98,104,117,142,152,193,205],"solution":[13],"accuracy":[14],"against":[15],"computation":[17,153],"time.":[18],"In":[19],"this":[20,76],"paper,":[21],"we":[22],"propose":[23],"a":[24,38,46,69,157,185],"novel":[25],"multi-stage":[26],"feature":[27,57],"framework":[29,39],"utilizing":[30],"multiple":[31],"levels":[32],"of":[33,56,87,108,127,130,134,167,195],"approximations,":[34],"or":[35],"surrogates.":[36],"Such":[37],"allows":[40],"for":[41,124],"using":[42,138],"wrapper":[43,118,159,186],"approaches":[44],"in":[45,132,147],"much":[47],"more":[48],"computationally":[49],"efficient":[50],"way,":[51],"significantly":[52,150,168],"increasing":[53],"quality":[55],"solutions":[59,166,180],"achievable,":[60],"especially":[61],"on":[62,188],"large":[63],"datasets.":[64],"We":[65,136,190],"design":[66],"and":[67,120],"evaluate":[68],"Surrogate-Assisted":[70],"Genetic":[71,160],"Algorithm":[72,161],"(SAGA)":[73],"which":[74],"utilizes":[75],"concept":[77],"to":[78,92,116,156,165,200],"guide":[79],"evolutionary":[81,206],"search":[82,207],"during":[83],"early":[85],"phase":[86],"exploration.":[88],"SAGA":[89,109,149,175],"only":[90],"switches":[91],"evaluating":[93],"original":[95],"function":[96],"at":[97,113,178],"final":[99],"exploitation":[100],"phase.We":[101],"prove":[102],"that":[103,146,174],"run-time":[105],"upper":[106],"bound":[107],"surrogate-assisted":[110],"stage":[111],"worse":[114],"equal":[115],"GA,":[119,187],"it":[121],"scales":[122],"better":[123],"induction":[125],"high":[128],"order":[129],"complexity":[131],"number":[133],"instances.":[135],"demonstrate,":[137],"14":[139],"datasets":[140],"from":[141,203],"UCI":[143],"ML":[144],"repository,":[145],"practice":[148],"reduces":[151],"time":[154],"compared":[155],"baseline":[158],"(GA),":[162],"while":[163],"converging":[164],"higher":[169],"accuracy.":[170],"Our":[171],"experiments":[172],"show":[173],"can":[176],"arrive":[177],"near-optimal":[179],"three":[181],"times":[182],"faster":[183],"than":[184],"average.":[189],"also":[191],"showcase":[192],"importance":[194],"evolution":[196],"control":[197],"approach":[198],"designed":[199],"prevent":[201],"surrogates":[202],"misleading":[204],"towards":[208],"false":[209],"optima.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}