{"id":"https://openalex.org/W2955296263","doi":"https://doi.org/10.1109/tevc.2019.2926107","title":"Multi-Source Selective Transfer Framework in Multi-Objective Optimization Problems","display_name":"Multi-Source Selective Transfer Framework in Multi-Objective Optimization Problems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2955296263","doi":"https://doi.org/10.1109/tevc.2019.2926107","mag":"2955296263"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2019.2926107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2019.2926107","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"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 Evolutionary Computation","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/A5100666965","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-0402-3034"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001113052","display_name":"Weien Zhou","orcid":"https://orcid.org/0000-0001-9833-679X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weien Zhou","raw_affiliation_strings":["Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082047088","display_name":"Xianqi Chen","orcid":"https://orcid.org/0000-0002-3744-6001"},"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":"Xianqi Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089866078","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0001-5224-9834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040808353","display_name":"Lu Cao","orcid":"https://orcid.org/0000-0002-3602-0340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu Cao","raw_affiliation_strings":["Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100666965"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":8.7986,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.98150131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"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":0.9987000226974487,"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":0.9890999794006348,"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":0.7311390042304993},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.537476658821106},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5026872158050537},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.48683804273605347},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44285720586776733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4339072108268738},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4257262349128723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4214862585067749},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41411539912223816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3834850490093231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1509200930595398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14361366629600525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311390042304993},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.537476658821106},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5026872158050537},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.48683804273605347},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44285720586776733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4339072108268738},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4257262349128723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4214862585067749},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41411539912223816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3834850490093231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1509200930595398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14361366629600525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tevc.2019.2926107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2019.2926107","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"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 Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W54295067","https://openalex.org/W336669988","https://openalex.org/W579331955","https://openalex.org/W602378137","https://openalex.org/W1479911746","https://openalex.org/W1496765098","https://openalex.org/W1506806321","https://openalex.org/W1509028783","https://openalex.org/W1601795611","https://openalex.org/W1861753340","https://openalex.org/W1977101219","https://openalex.org/W1992622214","https://openalex.org/W1999113027","https://openalex.org/W2013279402","https://openalex.org/W2032101114","https://openalex.org/W2035266157","https://openalex.org/W2048178326","https://openalex.org/W2050215344","https://openalex.org/W2062518669","https://openalex.org/W2068843161","https://openalex.org/W2070316439","https://openalex.org/W2093269116","https://openalex.org/W2095728033","https://openalex.org/W2103519186","https://openalex.org/W2106334424","https://openalex.org/W2108968575","https://openalex.org/W2112796928","https://openalex.org/W2113765418","https://openalex.org/W2115403315","https://openalex.org/W2122838776","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2139015486","https://openalex.org/W2141991709","https://openalex.org/W2147573707","https://openalex.org/W2148379945","https://openalex.org/W2148458253","https://openalex.org/W2154342596","https://openalex.org/W2165698076","https://openalex.org/W2166603077","https://openalex.org/W2285034650","https://openalex.org/W2309719799","https://openalex.org/W2335728318","https://openalex.org/W2343489328","https://openalex.org/W2468462628","https://openalex.org/W2484930447","https://openalex.org/W2528578439","https://openalex.org/W2583496274","https://openalex.org/W2586756136","https://openalex.org/W2591079949","https://openalex.org/W2595502370","https://openalex.org/W2611632661","https://openalex.org/W2612032753","https://openalex.org/W2729284065","https://openalex.org/W2740168373","https://openalex.org/W2752455195","https://openalex.org/W2764251381","https://openalex.org/W2770581177","https://openalex.org/W2782494491","https://openalex.org/W2787507140","https://openalex.org/W2789543555","https://openalex.org/W2810440851","https://openalex.org/W2821975429","https://openalex.org/W3023175681","https://openalex.org/W3099100043","https://openalex.org/W6628782388","https://openalex.org/W6719982585"],"related_works":["https://openalex.org/W3188540459","https://openalex.org/W2507981315","https://openalex.org/W2122656899","https://openalex.org/W4312444878","https://openalex.org/W4362553826","https://openalex.org/W2985038493","https://openalex.org/W3091635118","https://openalex.org/W2191881503","https://openalex.org/W3186286323","https://openalex.org/W4288091185"],"abstract_inverted_index":{"For":[0],"complex":[1,249],"system":[2],"design":[3,8],"[e.g.,":[4],"satellite":[5],"layout":[6],"optimization":[7,17,69,120,165,179,227,251],"(SLOD)]":[9],"in":[10,87,141,224,283,303],"practical":[11],"engineering,":[12],"when":[13],"launching":[14],"a":[15,172,256,274],"new":[16],"instance":[18,121],"with":[19,180,265,279],"another":[20],"parameter":[21],"configuration":[22],"from":[23,32,67,99],"the":[24,40,73,88,97,104,110,130,133,148,157,160,189,199,202,214,221,231,234,266,280,284,300,313,318],"intuition":[25],"of":[26,132,143,163,233,299],"designers,":[27],"it":[28],"is":[29,93,128,153,210],"always":[30],"executed":[31],"scratch":[33],"which":[34,48,127,218],"wastes":[35],"much":[36],"time":[37],"to":[38,53,62,65,71,95,102,155,183,198,212,277],"repeat":[39],"similar":[41,83],"search":[42,222],"process.":[43,150],"Inspired":[44],"by":[45,129,137],"transfer":[46,178,282],"learning":[47],"can":[49],"reuse":[50],"past":[51,68],"experiences":[52],"solve":[54],"relevant":[55],"tasks,":[56],"many":[57],"researchers":[58],"pay":[59],"more":[60],"attention":[61],"explore":[63],"how":[64,94],"learn":[66],"instances":[70,85],"accelerate":[72],"target":[74,115,205],"one.":[75],"In":[76],"real-world":[77,257,314],"applications,":[78],"there":[79],"have":[80],"been":[81],"numerous":[82,100],"source":[84,113,203],"stored":[86],"database.":[89],"The":[90,208,287],"primary":[91],"question":[92],"measure":[96],"transferability":[98],"sources":[101,185],"avoid":[103],"notorious":[105],"negative":[106,281],"transferring.":[107],"To":[108,187,229],"obtain":[109],"relatedness":[111],"between":[112,159,201],"and":[114,204,237,254,306,309],"instance,":[116],"we":[117,170,240,272],"develop":[118],"an":[119],"representation":[122],"method":[123],"named":[124],"centroid":[125,161,206],"distribution,":[126],"aid":[131],"probabilistic":[134],"model":[135],"learned":[136],"elite":[138],"candidate":[139],"solutions":[140],"estimation":[142],"distribution":[144],"algorithm":[145],"(EDA)":[146],"during":[147],"evolutionary":[149],"Wasserstein":[151],"distance":[152],"employed":[154],"evaluate":[156,230],"similarity":[158,200],"distributions":[162],"different":[164],"instances,":[166],"based":[167,269],"on":[168,248,270,297,312],"which,":[169,271],"present":[171],"novel":[173],"framework":[174,209,236,293],"called":[175],"multisource":[176],"selective":[177],"three":[181],"strategies":[182],"select":[184],"reasonably.":[186],"choose":[188,213],"suitable":[190,216],"strategy,":[191],"four":[192],"selection":[193,238,263],"suggestions":[194],"are":[195],"summarized":[196],"according":[197],"distribution.":[207],"beneficial":[211],"most":[215,298],"sources,":[217],"could":[219],"improve":[220],"efficiency":[223],"solving":[225],"multiobjective":[226,250],"problems.":[228],"effectiveness":[232],"proposed":[235,292],"suggestions,":[239],"conduct":[241],"two":[242],"experiments:":[243],"1)":[244],"comprehensive":[245],"empirical":[246],"studies":[247],"problem":[252],"benchmarks":[253],"2)":[255],"SLOD":[258],"problem.":[259],"Suggestions":[260],"for":[261],"strategy":[262,276],"coincide":[264],"experiment":[267],"results,":[268],"propose":[273],"mixed":[275],"deal":[278],"experiments":[285],"successfully.":[286],"results":[288],"demonstrate":[289],"that":[290],"our":[291],"achieves":[294],"competitive":[295],"performance":[296],"benchmark":[301],"problems":[302],"convergence":[304],"speed":[305],"hypervolume":[307],"values":[308],"performs":[310],"best":[311],"applications":[315],"among":[316],"all":[317],"comparison":[319],"algorithms.":[320]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
