{"id":"https://openalex.org/W4296916925","doi":"https://doi.org/10.1109/tsmc.2022.3205010","title":"Expensive Multiobjective Optimization Based on Information Transfer Surrogate","display_name":"Expensive Multiobjective Optimization Based on Information Transfer Surrogate","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W4296916925","doi":"https://doi.org/10.1109/tsmc.2022.3205010"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2022.3205010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3205010","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/A5036758972","display_name":"Jianping Luo","orcid":"https://orcid.org/0000-0002-9777-1543"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Luo","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9777-1543","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007704420","display_name":"Yongfei Dong","orcid":"https://orcid.org/0009-0003-6459-352X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YongFei Dong","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052762681","display_name":"Zexuan Zhu","orcid":"https://orcid.org/0000-0001-8479-6904"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Zhu","raw_affiliation_strings":["College of Computer and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8479-6904","affiliations":[{"raw_affiliation_string":"College of Computer and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625024","display_name":"Wenming Cao","orcid":"https://orcid.org/0000-0002-8174-6167"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cao","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8174-6167","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445591","display_name":"Xia Li","orcid":"https://orcid.org/0000-0002-8043-9966"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":3.5922,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93815076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"3","first_page":"1684","last_page":"1696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9868000149726868,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9854000210762024,"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":0.7863047122955322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479315996170044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5195118188858032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5046325922012329},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4561355710029602},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44181081652641296},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42990708351135254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.335132360458374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21552160382270813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14038676023483276}],"concepts":[{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.7863047122955322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479315996170044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5195118188858032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5046325922012329},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4561355710029602},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44181081652641296},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42990708351135254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.335132360458374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21552160382270813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14038676023483276},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2022.3205010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3205010","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/G2474489505","display_name":null,"funder_award_id":"20200813144831001","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"},{"id":"https://openalex.org/G4519536057","display_name":null,"funder_award_id":"62176161","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"},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W1846834309","https://openalex.org/W1983089897","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2013014665","https://openalex.org/W2015772998","https://openalex.org/W2018044188","https://openalex.org/W2018850201","https://openalex.org/W2098907614","https://openalex.org/W2105245738","https://openalex.org/W2111526171","https://openalex.org/W2122702777","https://openalex.org/W2126105956","https://openalex.org/W2131612655","https://openalex.org/W2133738572","https://openalex.org/W2143381319","https://openalex.org/W2144752499","https://openalex.org/W2152551290","https://openalex.org/W2156773695","https://openalex.org/W2165698076","https://openalex.org/W2182761707","https://openalex.org/W2336467679","https://openalex.org/W2398671303","https://openalex.org/W2432516117","https://openalex.org/W2474782555","https://openalex.org/W2546299924","https://openalex.org/W2560753397","https://openalex.org/W2591927365","https://openalex.org/W2679717297","https://openalex.org/W2770581177","https://openalex.org/W2773474358","https://openalex.org/W2776317535","https://openalex.org/W2789605188","https://openalex.org/W2791362611","https://openalex.org/W2791869553","https://openalex.org/W2794706240","https://openalex.org/W2802135473","https://openalex.org/W2897734904","https://openalex.org/W2911994132","https://openalex.org/W2972303258","https://openalex.org/W2982328033","https://openalex.org/W2992683702","https://openalex.org/W2997377643","https://openalex.org/W3040394052","https://openalex.org/W3099328850","https://openalex.org/W3118622339","https://openalex.org/W3120951225","https://openalex.org/W3122245755","https://openalex.org/W3130777809","https://openalex.org/W3136946679","https://openalex.org/W4211049957","https://openalex.org/W6681414149","https://openalex.org/W6686280248","https://openalex.org/W6717764351"],"related_works":["https://openalex.org/W2338031201","https://openalex.org/W3217415483","https://openalex.org/W4285677055","https://openalex.org/W3104770499","https://openalex.org/W1992731528","https://openalex.org/W2007843488","https://openalex.org/W1994436307","https://openalex.org/W1987021796","https://openalex.org/W2795565301","https://openalex.org/W4387886124"],"abstract_inverted_index":{"Objective":[0],"value":[1],"estimation":[2,46,170],"based":[3,65],"on":[4,66],"computationally":[5],"efficient":[6],"surrogate":[7,50,63,196],"models":[8,51],"is":[9,198],"widely":[10],"used":[11,106],"to":[12,26,69,95,107,120,202],"reduce":[13],"the":[14,27,33,45,49,76,79,102,116,125,128,134,145,152,156,188,212],"computational":[15,153],"cost":[16],"in":[17,41,75],"solving":[18],"expensive":[19,157],"multiobjective":[20,219],"optimization":[21,220],"problems":[22],"(MOPs).":[23],"However,":[24],"due":[25],"scarcity":[28],"of":[29,35,48,81,98,124,127,133,155,160],"training":[30,39,117],"data":[31,36,118],"and":[32,186],"lack":[34],"sharing":[37],"between":[38,192],"tasks":[40,104],"a":[42,61,96,109,141],"surrogate-based":[43,218],"system,":[44],"effectiveness":[47],"might":[52],"not":[53],"be":[54,138,164],"satisfactory.":[55],"In":[56,149],"this":[57,72,150],"study,":[58],"we":[59],"present":[60],"novel":[62],"methodology":[64],"information":[67,175,191],"transfer":[68,176],"deal":[70],"with":[71],"problem.":[73],"Particularly,":[74],"proposed":[77,195],"framework,":[78],"objectives":[80],"an":[82,161],"MOP":[83,162],"that":[84,211],"may":[85],"have":[86],"little":[87],"apparent":[88],"similarity":[89],"or":[90],"correlation":[91],"are":[92,105],"linearly":[93],"mapped":[94],"number":[97],"related":[99,103],"tasks.":[100,193],"Afterward,":[101],"train":[108],"multitask":[110],"Gaussian":[111],"process":[112],"(MTGP).":[113],"MTGP":[114,147,172],"expands":[115],"leading":[119],"more":[121],"confident":[122],"learning":[123,180],"parameters":[126],"model.":[129,148],"The":[130,194],"predicted":[131],"values":[132],"objective":[135,158],"functions":[136,159],"can":[137,163],"obtained":[139],"by":[140],"reverse":[142],"mapping":[143],"from":[144,181],"learned":[146],"way,":[151],"burden":[154],"substantially":[165],"reduced":[166],"while":[167],"maintaining":[168],"good":[169],"accuracy.":[171],"facilitates":[173],"mutual":[174],"across":[177],"tasks,":[178,185],"avoids":[179],"scratch":[182],"for":[183],"new":[184],"captures":[187],"underlying":[189],"structural":[190],"approach":[197],"merged":[199],"into":[200],"MOEA/D":[201],"address":[203],"MOPs.":[204],"Experimental":[205],"tests":[206],"under":[207],"various":[208],"scenarios":[209],"indicate":[210],"resultant":[213],"algorithm":[214],"outperforms":[215],"other":[216],"state-of-the-art":[217],"algorithms.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}