{"id":"https://openalex.org/W4400412734","doi":"https://doi.org/10.1145/3638529.3654023","title":"Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection","display_name":"Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400412734","doi":"https://doi.org/10.1145/3638529.3654023"},"language":"en","primary_location":{"id":"doi:10.1145/3638529.3654023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654023","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-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/A5113880062","display_name":"Xinyu Wang","orcid":"https://orcid.org/0009-0004-9097-8797"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin-Yu Wang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-9097-8797","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056949686","display_name":"Qi-Te Yang","orcid":"https://orcid.org/0000-0001-5430-7073"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi-Te Yang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5430-7073","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053009588","display_name":"Yi Jiang","orcid":"https://orcid.org/0000-0003-1965-0372"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jiang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1965-0372","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025285243","display_name":"Kay Chen Tan","orcid":"https://orcid.org/0000-0002-6802-2463"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kay Chen Tan","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6802-2463","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7835-9871","affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0862-0514","affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113880062"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.1429,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36208678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1506","last_page":"1514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9972000122070312,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9965000152587891,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7612060308456421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519447565078735},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.64002525806427},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6254427433013916},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6252086162567139},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6246035099029541},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5107045769691467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4764814078807831},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.42565232515335083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41317445039749146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2270416021347046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12184399366378784}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7612060308456421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519447565078735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.64002525806427},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6254427433013916},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6252086162567139},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6246035099029541},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5107045769691467},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4764814078807831},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.42565232515335083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41317445039749146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2270416021347046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12184399366378784},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638529.3654023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654023","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1486003553","https://openalex.org/W1987971958","https://openalex.org/W2131613989","https://openalex.org/W2152195021","https://openalex.org/W2183084160","https://openalex.org/W2287654067","https://openalex.org/W2294818690","https://openalex.org/W2299467264","https://openalex.org/W2343420905","https://openalex.org/W2370035765","https://openalex.org/W2528103328","https://openalex.org/W2557392950","https://openalex.org/W2639370877","https://openalex.org/W2890843359","https://openalex.org/W2895851783","https://openalex.org/W2928048063","https://openalex.org/W2954405162","https://openalex.org/W2981943969","https://openalex.org/W3001998614","https://openalex.org/W3004565805","https://openalex.org/W3012446350","https://openalex.org/W3082583002","https://openalex.org/W3086548118","https://openalex.org/W3117528838","https://openalex.org/W3124495982","https://openalex.org/W3137665052","https://openalex.org/W3184980526","https://openalex.org/W3186153394","https://openalex.org/W3195222256","https://openalex.org/W3208560513","https://openalex.org/W3216331645","https://openalex.org/W4223432987","https://openalex.org/W4226213489","https://openalex.org/W4285201879","https://openalex.org/W4285244731","https://openalex.org/W4312402790","https://openalex.org/W4312461518","https://openalex.org/W4313291093","https://openalex.org/W4313291217","https://openalex.org/W4313546928","https://openalex.org/W4323644264","https://openalex.org/W4381983181","https://openalex.org/W4387831700","https://openalex.org/W4389474281","https://openalex.org/W4390970268","https://openalex.org/W4392007251","https://openalex.org/W7047453430"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W3201126466","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923"],"abstract_inverted_index":{"Evolutionary":[0],"multitasking":[1],"(EMT),":[2],"as":[3,86],"a":[4,69,81,117,135,154],"very":[5],"popular":[6],"research":[7],"topic":[8],"in":[9,189],"the":[10,31,55,59,95,102,175],"evolutionary":[11],"computation":[12],"community,":[13],"has":[14,23],"been":[15],"used":[16],"to":[17,48,141,159],"solve":[18],"high-dimensional":[19,130,192],"FS":[20,187,193],"problems":[21],"and":[22,89,100,149,177],"shown":[24],"good":[25],"performance":[26],"recently.":[27],"However,":[28],"most":[29],"of":[30,80,97,104,163,179],"existing":[32],"EMT-based":[33],"methods":[34,188],"still":[35],"have":[36],"two":[37,113,127],"drawbacks.":[38],"First,":[39,132],"they":[40,66],"only":[41],"consider":[42,68],"using":[43],"filter-based":[44],"task":[45,138],"generation":[46,139],"strategies":[47],"retain":[49],"highly":[50],"relevant":[51],"features":[52,62],"for":[53,129],"generating":[54],"additional":[56],"tasks,":[57],"whereas":[58],"redundancy":[60],"between":[61,165],"is":[63],"ignored.":[64],"Second,":[65,151],"always":[67],"complete":[70],"variable":[71],"vector":[72],"(e.g.,":[73],"global":[74],"optimum":[75],"or":[76],"mean":[77],"positional":[78],"information":[79],"population":[82],"at":[83],"current":[84],"generation)":[85],"positive":[87],"knowledge":[88,99,156,164],"transfer":[90,157,162],"it,":[91],"which":[92],"greatly":[93],"weakens":[94],"variety":[96],"transferred":[98],"increases":[101],"possibility":[103],"falling":[105],"into":[106],"local":[107],"optimality.":[108],"To":[109],"deal":[110],"with":[111,126,191],"these":[112],"drawbacks,":[114],"we":[115,133,152],"propose":[116,134,153],"new":[118],"EMT-assisted":[119],"multitask":[120],"particle":[121],"swarm":[122],"optimization":[123],"(MPSO)":[124],"algorithm":[125,183],"innovations":[128],"FS.":[131],"dual":[136],"clustering-based":[137],"strategy":[140,158],"generate":[142],"tasks":[143],"by":[144],"considering":[145],"both":[146],"feature":[147],"relevance":[148],"redundancy.":[150],"fine-grain":[155],"realize":[160],"explicit":[161],"different":[166],"tasks.":[167],"Experimental":[168],"results":[169],"on":[170],"15":[171],"public":[172],"datasets":[173],"show":[174],"effectiveness":[176],"competitiveness":[178],"our":[180],"proposed":[181],"MPSO":[182],"over":[184],"other":[185],"state-of-the-art":[186],"dealing":[190],"problems.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}