{"id":"https://openalex.org/W4312932729","doi":"https://doi.org/10.1109/tsmc.2022.3219080","title":"Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization","display_name":"Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4312932729","doi":"https://doi.org/10.1109/tsmc.2022.3219080"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2022.3219080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3219080","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5001176258","display_name":"Genghui Li","orcid":"https://orcid.org/0000-0002-9950-9848"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genghui Li","raw_affiliation_strings":["School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9950-9848","affiliations":[{"raw_affiliation_string":"School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064608174","display_name":"Zhenkun Wang","orcid":"https://orcid.org/0000-0003-1152-6780"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenkun Wang","raw_affiliation_strings":["School of System Design and Intelligent Manufacturing and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1152-6780","affiliations":[{"raw_affiliation_string":"School of System Design and Intelligent Manufacturing and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0415-8556","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7016,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96844078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"53","issue":"5","first_page":"2758","last_page":"2769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7512427568435669},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.720363438129425},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6535450220108032},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5903936624526978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830603241920471},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5605578422546387},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.4901503026485443},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.47088441252708435},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4654009938240051},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.454550176858902},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4388575255870819},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4228602349758148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4044961929321289},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2656129002571106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23565813899040222},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.2019014060497284},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05845490097999573},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.058132320642471313}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7512427568435669},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.720363438129425},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6535450220108032},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5903936624526978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830603241920471},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5605578422546387},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.4901503026485443},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.47088441252708435},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4654009938240051},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.454550176858902},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4388575255870819},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4228602349758148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4044961929321289},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2656129002571106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23565813899040222},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.2019014060497284},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05845490097999573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.058132320642471313},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":1,"locations":[{"id":"doi:10.1109/tsmc.2022.3219080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3219080","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5727282016","display_name":null,"funder_award_id":"62106096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G576819778","display_name":null,"funder_award_id":"62206120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1670967200","https://openalex.org/W1978137304","https://openalex.org/W1989011358","https://openalex.org/W2000503034","https://openalex.org/W2011174137","https://openalex.org/W2074959697","https://openalex.org/W2075796418","https://openalex.org/W2082228576","https://openalex.org/W2096369439","https://openalex.org/W2146713522","https://openalex.org/W2155529731","https://openalex.org/W2182761707","https://openalex.org/W2591927365","https://openalex.org/W2679717297","https://openalex.org/W2757662287","https://openalex.org/W2804030504","https://openalex.org/W2885716732","https://openalex.org/W2891140334","https://openalex.org/W2891458358","https://openalex.org/W2896002634","https://openalex.org/W2909347514","https://openalex.org/W2922370556","https://openalex.org/W2946914248","https://openalex.org/W2954704311","https://openalex.org/W2967990365","https://openalex.org/W2983594980","https://openalex.org/W3006649997","https://openalex.org/W3042352085","https://openalex.org/W3043062030","https://openalex.org/W3080882303","https://openalex.org/W3083027881","https://openalex.org/W3083328146","https://openalex.org/W3091956744","https://openalex.org/W3111459667","https://openalex.org/W3120951225","https://openalex.org/W3134604425","https://openalex.org/W3134719405","https://openalex.org/W3138369982","https://openalex.org/W3138639222","https://openalex.org/W3189847644","https://openalex.org/W3194114164","https://openalex.org/W3201324775","https://openalex.org/W3205338105","https://openalex.org/W3208550483","https://openalex.org/W3208560513","https://openalex.org/W3214522976","https://openalex.org/W4206062888","https://openalex.org/W4213023965","https://openalex.org/W4220986827","https://openalex.org/W4226101459","https://openalex.org/W4226526209","https://openalex.org/W4282935563","https://openalex.org/W4285180649","https://openalex.org/W4285258866","https://openalex.org/W4285279329","https://openalex.org/W4296916925"],"related_works":["https://openalex.org/W2528958959","https://openalex.org/W2091246427","https://openalex.org/W2171662586","https://openalex.org/W4879471","https://openalex.org/W1573147006","https://openalex.org/W2007958628","https://openalex.org/W1496552114","https://openalex.org/W2122708533","https://openalex.org/W2616345470","https://openalex.org/W2080044387"],"abstract_inverted_index":{"The":[0],"surrogate-assisted":[1,40,55],"evolutionary":[2,43,57,64,71,105],"algorithm":[3,35],"(SAEA)":[4],"is":[5,45,109],"one":[6,83,149],"of":[7,52,77,116],"the":[8,81,85,103,113,117,126],"most":[9],"efficient":[10],"approaches":[11],"for":[12],"solving":[13],"expensive":[14],"optimization":[15,44,58,65,106,114],"problems.":[16,28],"However,":[17],"it":[18],"still":[19],"faces":[20],"challenges":[21],"when":[22],"dealing":[23],"with":[24],"complex":[25,145],"and":[26,41,60,79,108,148],"high-dimensional":[27],"To":[29],"fill":[30],"this":[31,48],"gap,":[32],"a":[33,53,61,75,90,121],"new":[34],"(called":[36],"SAMFEO)":[37],"that":[38,134],"combines":[39],"model-free":[42,62],"proposed":[46],"in":[47,124],"article.":[49],"SAMFEO":[50,135],"consists":[51],"local":[54,92],"multioperator":[56],"(LSA-MoEO)":[59],"single-operator":[63],"(MF-SoEO).":[66],"Specifically,":[67],"LSA-MoEO":[68],"adopts":[69],"multiple":[70],"operators":[72],"to":[73],"generate":[74],"set":[76],"offspring":[78,87],"prescreens":[80],"best":[82],"as":[84],"final":[86],"by":[88,96],"using":[89],"lightweight":[91],"surrogate":[93],"model":[94],"trained":[95],"some":[97,144],"newest":[98],"evaluated":[99],"solutions.":[100],"MF-SoEO":[101],"follows":[102],"traditional":[104],"paradigm":[107],"triggered":[110],"based":[111],"on":[112,143],"utility":[115],"LSA-MoEO.":[118],"It":[119],"plays":[120],"crucial":[122],"role":[123],"preventing":[125],"population":[127],"from":[128],"getting":[129],"stagnation.":[130],"Experimental":[131],"results":[132],"show":[133],"has":[136],"significant":[137],"advantages":[138],"over":[139],"several":[140],"state-of-the-art":[141],"SAEAs":[142],"benchmark":[146],"problems":[147],"real-world":[150],"problem.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":13}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}