{"id":"https://openalex.org/W4401806743","doi":"https://doi.org/10.1109/tcyb.2024.3443396","title":"Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning","display_name":"Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401806743","doi":"https://doi.org/10.1109/tcyb.2024.3443396","pmid":"https://pubmed.ncbi.nlm.nih.gov/39178092"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2024.3443396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3443396","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044199408","display_name":"H. Q. Zhang","orcid":"https://orcid.org/0000-0003-3728-1822"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3728-1822","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022740106","display_name":"Jinliang Ding","orcid":"https://orcid.org/0000-0003-3735-0672"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Ding","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3735-0672","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang Feng","orcid":"https://orcid.org/0000-0002-1521-2757"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Feng","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1521-2757","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Hong Kong Polytechnic University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-6802-2463","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343478","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-1694-9742"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.415,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94954371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"54","issue":"12","first_page":"7430","last_page":"7442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.7156999707221985,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.7156999707221985,"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/T10320","display_name":"Neural Networks and Applications","score":0.715399980545044,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.6906999945640564,"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/computer-science","display_name":"Computer science","score":0.6234726905822754},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6067567467689514},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.461672306060791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32316815853118896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12720322608947754},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.11260569095611572},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10779637098312378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234726905822754},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6067567467689514},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.461672306060791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32316815853118896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12720322608947754},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.11260569095611572},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10779637098312378},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2024.3443396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3443396","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:39178092","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39178092","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1583476792","display_name":"Leveraging Evolutionary Algorithms for Black-Box Adversarial Attacks in Robustness Evaluation of Deep Neural Networks","funder_award_id":"2404317","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2615012307","display_name":null,"funder_award_id":"62076056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G330673731","display_name":null,"funder_award_id":"IESR2212077","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G5667309283","display_name":null,"funder_award_id":"B08015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5789780205","display_name":null,"funder_award_id":"61988101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8245872083","display_name":null,"funder_award_id":"62376056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1975238690","https://openalex.org/W2005504865","https://openalex.org/W2024094062","https://openalex.org/W2112036188","https://openalex.org/W2148458253","https://openalex.org/W2151238122","https://openalex.org/W2152195021","https://openalex.org/W2192203593","https://openalex.org/W2336467679","https://openalex.org/W2787894218","https://openalex.org/W2891186800","https://openalex.org/W2898165512","https://openalex.org/W2997591727","https://openalex.org/W3011655242","https://openalex.org/W3034942609","https://openalex.org/W3040384847","https://openalex.org/W3045004532","https://openalex.org/W3048904406","https://openalex.org/W3049469446","https://openalex.org/W3083153296","https://openalex.org/W3083633173","https://openalex.org/W3129214046","https://openalex.org/W3163842339","https://openalex.org/W3190987510","https://openalex.org/W3210705326","https://openalex.org/W4206647194","https://openalex.org/W4211049957","https://openalex.org/W4211116959","https://openalex.org/W4226291828","https://openalex.org/W4235880014","https://openalex.org/W4251988601","https://openalex.org/W4252684946","https://openalex.org/W4280553046","https://openalex.org/W4293370649","https://openalex.org/W4295125840","https://openalex.org/W4313655778","https://openalex.org/W4323543300","https://openalex.org/W4362672487","https://openalex.org/W4367663262","https://openalex.org/W4383112906","https://openalex.org/W4386025864","https://openalex.org/W6736057607","https://openalex.org/W6743755419","https://openalex.org/W6756254808","https://openalex.org/W6764988152","https://openalex.org/W6769040946","https://openalex.org/W6771590690","https://openalex.org/W6775180354","https://openalex.org/W6789347738"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2080167534","https://openalex.org/W3146440365","https://openalex.org/W2011315860","https://openalex.org/W2140792736","https://openalex.org/W2280241695","https://openalex.org/W2130588191","https://openalex.org/W4239214709","https://openalex.org/W86865726"],"abstract_inverted_index":{"Dynamic":[0],"environments":[1,58],"pose":[2],"great":[3],"challenges":[4],"for":[5,74,158],"expensive":[6,44,77],"optimization":[7,33,36,45,72,79,103,139,174],"problems,":[8],"as":[9,154],"the":[10,27,50,76,109,117,138,143,147,155,162,173,181,195,198],"objective":[11],"functions":[12],"of":[13,112,197],"these":[14],"problems":[15,46,211],"change":[16],"over":[17],"time":[18],"and":[19,34,141],"thus":[20],"require":[21],"remarkable":[22],"computational":[23,191],"resources":[24],"to":[25,52,92,128,178,203],"track":[26],"optimal":[28],"solutions.":[29],"Although":[30],"data-driven":[31,101],"evolutionary":[32,102],"Bayesian":[35],"(BO)":[37],"approaches":[38,55],"have":[39],"shown":[40],"promise":[41],"in":[42,47,56,95,100,120,161,183],"solving":[43,75],"static":[48],"environments,":[49],"attempts":[51],"develop":[53],"such":[54],"dynamic":[57,78,163,214],"remain":[59],"rarely":[60],"explored.":[61],"In":[62,107],"this":[63],"article,":[64],"we":[65],"propose":[66],"a":[67,96,122,184,188],"simple":[68],"yet":[69],"effective":[70],"meta-learning-based":[71],"framework":[73,82,110,201],"problems.":[80],"This":[81],"is":[83,126,152,176],"flexible,":[84],"allowing":[85],"any":[86],"off-the-shelf":[87],"continuously":[88],"differentiable":[89],"surrogate":[90],"model":[91,132],"be":[93],"used":[94,153],"plug-in":[97],"manner,":[98],"either":[99],"or":[104],"BO":[105],"approaches.":[106],"particular,":[108],"consists":[111],"two":[113],"unique":[114],"components:":[115],"1)":[116],"meta-learning":[118,124],"component,":[119,145],"which":[121],"gradient-based":[123],"approach":[125],"adopted":[127],"learn":[129],"experience":[130,149],"(effective":[131],"parameters)":[133,151],"across":[134],"different":[135,213],"dynamics":[136],"along":[137],"process":[140,175],"2)":[142],"adaptation":[144,160],"where":[146],"learned":[148],"(model":[150],"initial":[156],"parameters":[157],"fast":[159],"environment":[164,186],"based":[165],"on":[166,207],"few":[167],"shot":[168],"samples.":[169],"By":[170],"doing":[171],"so,":[172],"able":[177],"quickly":[179],"initiate":[180],"search":[182],"new":[185],"within":[187],"strictly":[189],"restricted":[190],"budget.":[192],"Experiments":[193],"demonstrate":[194],"effectiveness":[196],"proposed":[199],"algorithm":[200],"compared":[202],"several":[204],"state-of-the-art":[205],"algorithms":[206],"common":[208],"benchmark":[209],"test":[210],"under":[212],"characteristics.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":12}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
