{"id":"https://openalex.org/W4220803909","doi":"https://doi.org/10.1007/s40747-022-00717-6","title":"An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization","display_name":"An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220803909","doi":"https://doi.org/10.1007/s40747-022-00717-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-022-00717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00717-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00717-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101916675","display_name":"Nan Zheng","orcid":"https://orcid.org/0000-0001-6362-3609"},"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":"Nan Zheng","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, 710071, Shaanxi, China","School of Artificial Intelligence, Xidian University, Xi'an, 710071, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, 710071, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, 710071, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091324372","display_name":"Handing Wang","orcid":"https://orcid.org/0000-0002-4805-3780"},"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":"Handing Wang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi\u2019an, 710071, Shaanxi, China","School of Artificial Intelligence, Xidian University, Xi'an, 710071, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi\u2019an, 710071, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, 710071, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048049588","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-9899-8961"},"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":true,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen, 518055, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048049588"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":3.4568,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93362589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":"5","first_page":"4339","last_page":"4356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9857000112533569,"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/surrogate-model","display_name":"Surrogate model","score":0.7586772441864014},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6380299925804138},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5948535203933716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799747705459595},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5137899518013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5072953104972839},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47064608335494995},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4573880732059479},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4420109987258911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34673547744750977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3021294176578522}],"concepts":[{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.7586772441864014},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6380299925804138},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5948535203933716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799747705459595},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5137899518013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5072953104972839},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47064608335494995},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4573880732059479},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4420109987258911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34673547744750977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3021294176578522},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-022-00717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00717-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-022-00717-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00717-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00717-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1308942226","display_name":null,"funder_award_id":"2020B121201001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1714633238","display_name":null,"funder_award_id":"21201001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2444603483","display_name":null,"funder_award_id":"2020B121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5380021153","display_name":null,"funder_award_id":"61976165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220803909.pdf","grobid_xml":"https://content.openalex.org/works/W4220803909.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W6625593","https://openalex.org/W243424403","https://openalex.org/W342359399","https://openalex.org/W1493761729","https://openalex.org/W1514363319","https://openalex.org/W1535156936","https://openalex.org/W1588375755","https://openalex.org/W1647513660","https://openalex.org/W1976442029","https://openalex.org/W1977310087","https://openalex.org/W2000648597","https://openalex.org/W2028501442","https://openalex.org/W2045001586","https://openalex.org/W2048408962","https://openalex.org/W2071299402","https://openalex.org/W2071694551","https://openalex.org/W2098907614","https://openalex.org/W2105245738","https://openalex.org/W2108968575","https://openalex.org/W2111526171","https://openalex.org/W2126105956","https://openalex.org/W2131847304","https://openalex.org/W2143381319","https://openalex.org/W2147525584","https://openalex.org/W2152710595","https://openalex.org/W2154022671","https://openalex.org/W2154342596","https://openalex.org/W2155035377","https://openalex.org/W2156106639","https://openalex.org/W2165533158","https://openalex.org/W2175935276","https://openalex.org/W2343601797","https://openalex.org/W2404080558","https://openalex.org/W2415757063","https://openalex.org/W2546299924","https://openalex.org/W2561397319","https://openalex.org/W2750739643","https://openalex.org/W2764251381","https://openalex.org/W2785722638","https://openalex.org/W2891186800","https://openalex.org/W2920943913","https://openalex.org/W2951774549","https://openalex.org/W3007698149","https://openalex.org/W3154353929","https://openalex.org/W3173528036","https://openalex.org/W4226420899","https://openalex.org/W4231000141","https://openalex.org/W4239510810","https://openalex.org/W4249517230","https://openalex.org/W4252003911","https://openalex.org/W4292408320","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2621058457","https://openalex.org/W2912622974","https://openalex.org/W2987087830","https://openalex.org/W2953306542","https://openalex.org/W4386421932","https://openalex.org/W4304185466","https://openalex.org/W2740350000","https://openalex.org/W4293363729","https://openalex.org/W3192856315","https://openalex.org/W2116464912"],"abstract_inverted_index":{"Abstract":[0],"To":[1],"solve":[2,103],"noisy":[3],"and":[4,133,153],"expensive":[5],"multi-objective":[6],"optimization":[7],"problems,":[8],"there":[9],"are":[10,35],"only":[11],"a":[12,171],"few":[13],"function":[14,81,88,114,136,165],"evaluations":[15,34,89],"can":[16],"be":[17,91],"used":[18],"due":[19],"to":[20,47,102,125,156],"the":[21,29,33,41,48,52,55,65,71,78,141,146,150,161,178,185],"limitation":[22],"of":[23,28,31,50,54,77,80,160,164,173],"time":[24],"and/or":[25],"money.":[26],"Because":[27],"influence":[30,49],"noises,":[32,51],"inaccurate.":[36],"It":[37,138],"is":[38,62,100,123,181],"challenging":[39],"for":[40,116],"existing":[42],"surrogate-assisted":[43,97,189],"evolutionary":[44,98,190],"algorithms.":[45,191],"Due":[46],"performance":[53],"surrogate":[56,128],"model":[57,95,120,129],"constructed":[58],"by":[59],"these":[60],"algorithms":[61],"degraded.":[63],"At":[64],"same":[66],"time,":[67],"noises":[68],"would":[69],"mislead":[70],"evolution":[72],"direction.":[73],"More":[74],"importantly,":[75],"because":[76],"limitations":[79],"evaluations,":[82],"noise":[83],"treatment":[84],"methods":[85],"consuming":[86],"many":[87],"cannot":[90],"applied.":[92],"An":[93,118],"adaptive":[94,119],"switch-based":[96],"algorithm":[99,110,180],"proposed":[101,179],"such":[104],"problems":[105,175],"in":[106,149],"this":[107],"paper.":[108],"The":[109,167],"establishes":[111],"radial":[112,134],"basis":[113,135],"networks":[115],"denoising.":[117],"switch":[121],"strategy":[122],"adopted":[124],"select":[126],"suited":[127],"from":[130],"Gaussian":[131],"regression":[132],"network.":[137],"adaptively":[139],"selects":[140],"sampling":[142],"strategies":[143],"based":[144],"on":[145,170],"maximum":[147],"improvement":[148],"convergence,":[151],"diversity,":[152],"approximation":[154],"uncertainty":[155],"make":[157],"full":[158],"use":[159],"limited":[162],"number":[163],"evaluations.":[166],"experimental":[168],"results":[169],"set":[172],"test":[174],"show":[176],"that":[177],"more":[182],"competitive":[183],"than":[184],"five":[186],"most":[187],"advanced":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}