{"id":"https://openalex.org/W7124214552","doi":"https://doi.org/10.1109/tsmc.2025.3649528","title":"Multiobjective Multitask Optimization With Manifold Structure-Driven Knowledge Transfer","display_name":"Multiobjective Multitask Optimization With Manifold Structure-Driven Knowledge Transfer","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7124214552","doi":"https://doi.org/10.1109/tsmc.2025.3649528"},"language":null,"primary_location":{"id":"doi:10.1109/tsmc.2025.3649528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2025.3649528","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/A5123036877","display_name":"Tingyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingyu Zhang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016034421","display_name":"Xinyi Wu","orcid":"https://orcid.org/0000-0001-9220-4075"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Wu","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041035705","display_name":"Yanchi Li","orcid":"https://orcid.org/0000-0001-5565-6275"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchi Li","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023809706","display_name":"Shuijia Li","orcid":"https://orcid.org/0000-0003-3838-0072"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuijia Li","raw_affiliation_strings":["College of System Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112500492","display_name":"Wenyin Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Gong","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5123036877"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15583712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"4","first_page":"2426","last_page":"2438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.972000002861023,"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":0.972000002861023,"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":0.016300000250339508,"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":0.0015999999595806003,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5737000107765198},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5321000218391418},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.520799994468689},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/human-multitasking","display_name":"Human multitasking","score":0.49559998512268066},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4325000047683716},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4147000014781952},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4016999900341034},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.39649999141693115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277999877929688},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5737000107765198},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5321000218391418},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C107418235","wikidata":"https://www.wikidata.org/wiki/Q1520565","display_name":"Human multitasking","level":2,"score":0.49559998512268066},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4846000075340271},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4147000014781952},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.39329999685287476},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2025.3649528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2025.3649528","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2083281224","https://openalex.org/W2106334424","https://openalex.org/W2108968575","https://openalex.org/W2126105956","https://openalex.org/W2129380951","https://openalex.org/W2143381319","https://openalex.org/W2410677328","https://openalex.org/W2413527939","https://openalex.org/W2461776015","https://openalex.org/W2810440851","https://openalex.org/W2843946816","https://openalex.org/W2904693359","https://openalex.org/W2913333339","https://openalex.org/W2971232046","https://openalex.org/W2982889533","https://openalex.org/W3008773008","https://openalex.org/W3011220450","https://openalex.org/W3019361465","https://openalex.org/W3037248710","https://openalex.org/W3111929660","https://openalex.org/W3152038424","https://openalex.org/W3183992282","https://openalex.org/W3192322776","https://openalex.org/W3195664246","https://openalex.org/W3212275275","https://openalex.org/W4214660441","https://openalex.org/W4214909554","https://openalex.org/W4285235201","https://openalex.org/W4307901396","https://openalex.org/W4312402790","https://openalex.org/W4321380739","https://openalex.org/W4328007163","https://openalex.org/W4378194816","https://openalex.org/W4385976156","https://openalex.org/W4386071191","https://openalex.org/W4390813606","https://openalex.org/W4390970268","https://openalex.org/W4395066623","https://openalex.org/W4399875784","https://openalex.org/W4400412339","https://openalex.org/W4401198281","https://openalex.org/W4406172464","https://openalex.org/W4413754716","https://openalex.org/W4414479345"],"related_works":[],"abstract_inverted_index":{"Evolutionary":[0],"multitasking":[1],"(EMT)":[2],"endeavors":[3],"to":[4,49,105,141,157,188,205],"solve":[5],"multiple":[6],"optimization":[7,37,64,107],"tasks":[8],"simultaneously":[9],"via":[10],"knowledge":[11,208],"transfer":[12,191],"(KT)":[13],"among":[14],"tasks.":[15,151],"While":[16],"several":[17],"EMT":[18,93],"algorithms":[19],"have":[20],"obtained":[21],"promising":[22],"results,":[23],"they":[24],"still":[25],"encounter":[26],"uncertainties":[27],"and":[28,80,113,131,172,229],"challenges":[29],"in":[30,120,193],"the":[31,46,53,59,70,78,170,194],"complex":[32,227],"field":[33],"of":[34,42,52,62,82,123],"multiobjective":[35,63],"multitask":[36],"(MO-MTO).":[38],"A":[39],"key":[40,125],"limitation":[41],"existing":[43],"approaches":[44],"is":[45,203],"insufficient":[47],"attention":[48],"manifold":[50,98,163,213],"structures":[51,68],"Pareto":[54],"set":[55],"(PS),":[56],"which":[57],"represent":[58],"local":[60,74,114,132,154,173,198,212],"regularities":[61],"problems.":[65],"Ignoring":[66],"these":[67,167,185],"prevents":[69],"algorithm":[71,94],"from":[72],"capturing":[73],"features,":[75],"thereby":[76],"limiting":[77],"efficiency":[79,192],"accuracy":[81],"KT.":[83],"To":[84,165],"alleviate":[85],"this":[86,88],"issue,":[87],"article":[89],"proposes":[90],"a":[91,197,222],"new":[92],"for":[95,226],"MO-MTO":[96],"with":[97],"structure-driven":[99],"KT,":[100],"namely":[101],"EMT-MSKT.":[102],"EMT-MSKT":[103,121,235],"aims":[104],"improve":[106],"performance":[108],"by":[109],"leveraging":[110],"both":[111],"global":[112,127,138,171],"structural":[115,139,155],"information.":[116],"In":[117],"particular,":[118],"KT":[119],"consists":[122],"two":[124,168],"strategies:":[126],"structure":[128,133],"learning":[129,134],"(GSL)":[130],"(LSL).":[135],"GSL":[136],"exploits":[137,153],"similarity":[140,156],"provide":[142],"population-level":[143],"directional":[144],"information":[145],"that":[146,234],"drives":[147],"broad":[148],"exploration":[149],"across":[150],"LSL":[152,195],"support":[158],"fine-grained":[159],"exploitation":[160],"based":[161,210],"on":[162,211,217],"features.":[164],"implement":[166],"strategies,":[169],"search":[174],"directions":[175],"are":[176],"extracted":[177],"as":[178],"knowledge,":[179],"reflecting":[180],"how":[181],"solutions":[182],"evolve":[183],"within":[184],"structures.":[186],"Moreover,":[187],"further":[189],"enhance":[190],"process,":[196],"source":[199],"selection":[200],"(LSS)":[201],"strategy":[202],"developed":[204],"identify":[206],"relevant":[207],"sources":[209],"similarities.":[214],"Comprehensive":[215],"results":[216],"four":[218],"benchmark":[219],"suites":[220],"(including":[221],"newly":[223],"constructed":[224],"suite":[225],"problems)":[228],"three":[230],"real-world":[231],"applications":[232],"demonstrate":[233],"consistently":[236],"outperforms":[237],"other":[238],"state-of-the-art":[239],"algorithms.":[240]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-01-15T00:00:00"}