{"id":"https://openalex.org/W3106212402","doi":"https://doi.org/10.1109/tcyb.2020.3029176","title":"Learning Task Relationships in Evolutionary Multitasking for Multiobjective Continuous Optimization","display_name":"Learning Task Relationships in Evolutionary Multitasking for Multiobjective Continuous Optimization","publication_year":2020,"publication_date":"2020-11-18","ids":{"openalex":"https://openalex.org/W3106212402","doi":"https://doi.org/10.1109/tcyb.2020.3029176","mag":"3106212402","pmid":"https://pubmed.ncbi.nlm.nih.gov/33206616"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3029176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3029176","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/A5100704829","display_name":"Zefeng Chen","orcid":"https://orcid.org/0000-0003-3743-5254"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Zefeng Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3743-5254","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056123187","display_name":"Yuren Zhou","orcid":"https://orcid.org/0000-0002-0497-0835"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuren Zhou","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0497-0835","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083554243","display_name":"Xiaoyu He","orcid":"https://orcid.org/0000-0003-4460-2460"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu He","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4460-2460","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4148-4294"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Division of Electrical Engineering, Hanyang University, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4148-4294","affiliations":[{"raw_affiliation_string":"Division of Electrical Engineering, Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2439,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96380648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"52","issue":"6","first_page":"5278","last_page":"5289"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9962000250816345,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-multitasking","display_name":"Human multitasking","score":0.9085912108421326},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6112145185470581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5600087642669678},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4966750741004944},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4960571229457855},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4833671450614929},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4748780131340027},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4121447205543518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4076739549636841},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3498970866203308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3169557452201843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2821403741836548}],"concepts":[{"id":"https://openalex.org/C107418235","wikidata":"https://www.wikidata.org/wiki/Q1520565","display_name":"Human multitasking","level":2,"score":0.9085912108421326},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6112145185470581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600087642669678},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4966750741004944},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4960571229457855},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4833671450614929},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4748780131340027},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4121447205543518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4076739549636841},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498970866203308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3169557452201843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2821403741836548},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2020.3029176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3029176","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:33206616","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33206616","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":null},{"id":"pmh:oai:eprints.vu.edu.au:46349","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/46349/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1599060605","display_name":null,"funder_award_id":"62006252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3424291136","display_name":null,"funder_award_id":"2019M663234","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3851559966","display_name":null,"funder_award_id":"61773410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G791997131","display_name":null,"funder_award_id":"2019A1515111154","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W106819720","https://openalex.org/W1494807122","https://openalex.org/W1559956479","https://openalex.org/W1595159159","https://openalex.org/W1595498733","https://openalex.org/W1965442863","https://openalex.org/W2022485595","https://openalex.org/W2055142708","https://openalex.org/W2105217850","https://openalex.org/W2116661285","https://openalex.org/W2123808725","https://openalex.org/W2126105956","https://openalex.org/W2129143056","https://openalex.org/W2155529731","https://openalex.org/W2286629231","https://openalex.org/W2287814884","https://openalex.org/W2294818690","https://openalex.org/W2352407177","https://openalex.org/W2410677328","https://openalex.org/W2413527939","https://openalex.org/W2469950730","https://openalex.org/W2526440583","https://openalex.org/W2559508241","https://openalex.org/W2586910743","https://openalex.org/W2588058706","https://openalex.org/W2607407907","https://openalex.org/W2623876502","https://openalex.org/W2724993384","https://openalex.org/W2728389659","https://openalex.org/W2742301840","https://openalex.org/W2770581177","https://openalex.org/W2781380637","https://openalex.org/W2783852955","https://openalex.org/W2789351846","https://openalex.org/W2794118109","https://openalex.org/W2808464155","https://openalex.org/W2810440851","https://openalex.org/W2890830465","https://openalex.org/W2896215880","https://openalex.org/W2897392157","https://openalex.org/W2897866893","https://openalex.org/W2903182729","https://openalex.org/W2904693359","https://openalex.org/W2921687288","https://openalex.org/W2923639984","https://openalex.org/W2948943518","https://openalex.org/W2960744858","https://openalex.org/W2968020442","https://openalex.org/W2969144658","https://openalex.org/W2980307621","https://openalex.org/W2997657997","https://openalex.org/W3011220450","https://openalex.org/W3019361465","https://openalex.org/W3023540311","https://openalex.org/W3081832665","https://openalex.org/W3088471136","https://openalex.org/W3139849174","https://openalex.org/W4293862731","https://openalex.org/W4301173492","https://openalex.org/W6696126189"],"related_works":["https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283","https://openalex.org/W2891428731","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Multiobjective":[0],"multifactorial":[1],"optimization":[2,17,187],"(MO-MFO),":[3],"rooted":[4],"in":[5],"a":[6,40,56,69,75,86],"multitasking":[7,27],"environment,":[8],"is":[9,44,53,83,115,146],"an":[10,25],"emerging":[11],"paradigm":[12],"wherein":[13],"multiple":[14,118],"distinct":[15,186],"multiobjective":[16],"problems":[18,183],"are":[19,65,107,123],"solved":[20],"together.":[21],"This":[22],"article":[23],"proposes":[24],"evolutionary":[26,134],"algorithm":[28,145,169],"with":[29,150,189],"learning":[30],"task":[31,52,105],"relationships":[32,106],"(LTR)":[33],"for":[34,94,125,154],"MO-MFO.":[35],"In":[36,136],"the":[37,80,91,98,104,110,133,137,140,143,167],"proposed":[38,144,168],"algorithm,":[39],"procedure":[41],"of":[42,50,62,100,117,142,159],"LTR":[43],"well":[45,179],"designed.":[46],"The":[47],"decision":[48,60,130,191],"space":[49,88],"each":[51,101],"treated":[54],"as":[55,68,109],"manifold,":[57],"and":[58,97,121,148,177],"all":[59,95],"spaces":[61,131],"different":[63,129],"tasks":[64,96,188],"jointly":[66],"modeled":[67],"joint":[70,81,111],"manifold.":[71,102],"Then,":[72],"through":[73],"solving":[74],"generalized":[76],"eigenvalue":[77],"decomposition":[78],"problem,":[79],"manifold":[82],"projected":[84],"to":[85],"latent":[87],"while":[89],"keeping":[90],"necessary":[92],"features":[93],"topology":[99],"Finally,":[103],"represented":[108],"mapping":[112,119],"matrix,":[113],"which":[114,184],"composed":[116],"functions,":[120],"they":[122],"utilized":[124],"information":[126],"transfer":[127],"across":[128],"during":[132],"process.":[135],"empirical":[138],"experiments,":[139],"performance":[141],"verified":[147],"compared":[149],"several":[151],"state-of-the-art":[152],"solvers":[153],"MO-MFO":[155,160,182],"on":[156,173],"three":[157],"suites":[158],"test":[161,175],"problems.":[162],"Empirical":[163],"results":[164],"demonstrate":[165],"that":[166],"surpasses":[170],"other":[171],"competitors":[172],"most":[174],"instances,":[176],"can":[178],"tackle":[180],"complicated":[181],"involve":[185],"heterogeneous":[190],"spaces.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}