{"id":"https://openalex.org/W4408017201","doi":"https://doi.org/10.1109/tcyb.2025.3535722","title":"Evolutionary Multitask Optimization for Multiform Feature Selection in Classification","display_name":"Evolutionary Multitask Optimization for Multiform Feature Selection in Classification","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408017201","doi":"https://doi.org/10.1109/tcyb.2025.3535722","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031579"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2025.3535722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3535722","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/A5056949686","display_name":"Qi-Te Yang","orcid":"https://orcid.org/0000-0001-5430-7073"},"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":true,"raw_author_name":"Qi-Te Yang","raw_affiliation_strings":["Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087157587","display_name":"Xin-Xin Xu","orcid":"https://orcid.org/0009-0007-4463-1778"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Xin Xu","raw_affiliation_strings":["School of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","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":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081658553","display_name":"Jinghui Zhong","orcid":"https://orcid.org/0000-0003-0113-3430"},"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":"Jinghui Zhong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I165488957","display_name":"Lingnan University","ror":"https://ror.org/0563pg902","country_code":"HK","type":"education","lineage":["https://openalex.org/I165488957"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Tuen Mun, SAR, Hong Kong","School of Data Science, Lingnan University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Tuen Mun, SAR, Hong Kong","institution_ids":["https://openalex.org/I165488957"]},{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, Hong Kong","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"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":["Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056949686"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":32.9957,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9960049,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"55","issue":"4","first_page":"1673","last_page":"1686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.7912999987602234,"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":0.7912999987602234,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.7364000082015991,"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/T10057","display_name":"Face and Expression Recognition","score":0.6618000268936157,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature-selection","display_name":"Feature selection","score":0.7324572801589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7029953598976135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183812618255615},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5717430114746094},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.505352795124054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5030147433280945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.452449232339859}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7324572801589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029953598976135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183812618255615},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5717430114746094},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.505352795124054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5030147433280945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.452449232339859},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2025.3535722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3535722","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:40031579","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031579","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1336959556","display_name":null,"funder_award_id":"078-63243159","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G161703019","display_name":null,"funder_award_id":"HY-202400000001955","funder_id":"https://openalex.org/F4320321142","funder_display_name":"Hanyang University"},{"id":"https://openalex.org/G2010397751","display_name":null,"funder_award_id":"078-63243198","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4099885540","display_name":null,"funder_award_id":"62176094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6251120795","display_name":null,"funder_award_id":"2022ZD0120001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G664306136","display_name":null,"funder_award_id":"078-63241453","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8322327632","display_name":null,"funder_award_id":"U23B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8768900319","display_name":null,"funder_award_id":"HY-202300000003465","funder_id":"https://openalex.org/F4320321142","funder_display_name":"Hanyang University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321142","display_name":"Hanyang University","ror":"https://ror.org/046865y68"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1418108976","https://openalex.org/W1500895378","https://openalex.org/W1619226191","https://openalex.org/W1981883771","https://openalex.org/W2003233718","https://openalex.org/W2027902860","https://openalex.org/W2036439084","https://openalex.org/W2074708053","https://openalex.org/W2090341258","https://openalex.org/W2152195021","https://openalex.org/W2165700458","https://openalex.org/W2167101736","https://openalex.org/W2172189177","https://openalex.org/W2528103328","https://openalex.org/W2639370877","https://openalex.org/W2727592975","https://openalex.org/W2770581177","https://openalex.org/W2910556840","https://openalex.org/W3001998614","https://openalex.org/W3044063956","https://openalex.org/W3114137134","https://openalex.org/W3117528838","https://openalex.org/W3124495982","https://openalex.org/W3125006864","https://openalex.org/W3135364772","https://openalex.org/W3137665052","https://openalex.org/W3184980526","https://openalex.org/W3186153394","https://openalex.org/W3192464041","https://openalex.org/W3198383746","https://openalex.org/W3203698880","https://openalex.org/W3216331645","https://openalex.org/W4200120532","https://openalex.org/W4205713982","https://openalex.org/W4206918614","https://openalex.org/W4223432987","https://openalex.org/W4226213489","https://openalex.org/W4284970019","https://openalex.org/W4285201879","https://openalex.org/W4294496107","https://openalex.org/W4307340076","https://openalex.org/W4308638528","https://openalex.org/W4309097651","https://openalex.org/W4312402790","https://openalex.org/W4312461518","https://openalex.org/W4312541757","https://openalex.org/W4312688523","https://openalex.org/W4313291093","https://openalex.org/W4313291217","https://openalex.org/W4316655441","https://openalex.org/W4317794917","https://openalex.org/W4323644264","https://openalex.org/W4383960493","https://openalex.org/W4385453041","https://openalex.org/W4389474281","https://openalex.org/W4392902552","https://openalex.org/W4401387426","https://openalex.org/W4401414304","https://openalex.org/W4401927651","https://openalex.org/W4404953194","https://openalex.org/W6607259140","https://openalex.org/W6636914306"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1],"(FS)":[2],"is":[3,53,85,100,165,176],"a":[4,51,77,114,133,143,148,171],"significant":[5],"research":[6],"topic":[7],"in":[8,18,38,169],"machine":[9],"learning":[10],"and":[11,90,147],"artificial":[12],"intelligence,":[13],"but":[14],"it":[15,43],"becomes":[16],"complicated":[17],"the":[19,26,69,83,88,93,106,111,139,183,203,210],"high":[20],"dimensional":[21],"search":[22],"space":[23],"due":[24],"to":[25,55,137,178],"vast":[27],"number":[28],"of":[29,92,113,205],"features.":[30,95],"Evolutionary":[31],"computation":[32],"(EC)":[33],"has":[34,110],"been":[35],"widely":[36,188],"used":[37,54,189],"solving":[39],"FS":[40,70,123,140,156,213],"by":[41],"modeling":[42],"as":[44,76,142,197,200],"an":[45],"expensive":[46],"wrapper-form":[47,97,127,144],"optimization":[48,80,98,108,128,135,145,150],"task,":[49,81],"where":[50,82],"classifier":[52],"obtain":[56],"classification":[57,103,207],"accuracy":[58,104,208],"for":[59,102,159],"fitness":[60],"evaluation":[61],"(FE).":[62],"In":[63],"this":[64,130],"article,":[65],"we":[66],"propose":[67],"that":[68,124,193],"problem":[71,141],"can":[72,195],"be":[73],"also":[74],"modeled":[75],"cheap":[78],"filter-form":[79,107,149],"FE":[84],"based":[86],"on":[87,187,202],"relevance":[89],"redundancy":[91],"selected":[94],"The":[96],"task":[99,109,146,151],"beneficial":[101],"while":[105],"strength":[112],"lighter":[115],"computational":[116],"cost.":[117],"Therefore,":[118],"different":[119],"from":[120],"existing":[121],"multitask-based":[122],"uses":[125,132],"various":[126],"tasks,":[129],"article":[131],"multiform":[134],"technique":[136],"model":[138],"simultaneously.":[152],"An":[153],"evolutionary":[154],"multitask":[155],"(EMTFS)":[157],"algorithm":[158],"parallel":[160],"tacking":[161],"these":[162],"two":[163,184],"tasks":[164],"proposed":[166,177],"followed":[167],"by,":[168],"which":[170],"two-channel":[172],"knowledge":[173,181],"transfer":[174,179],"strategy":[175],"positive":[180],"across":[182],"tasks.":[185],"Experiments":[186],"public":[190],"datasets":[191],"show":[192],"EMTFS":[194],"select":[196],"few":[198],"features":[199],"possible":[201],"premise":[204],"superior":[206],"than":[209],"compared":[211],"state-of-the-art":[212],"algorithms.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}