{"id":"https://openalex.org/W4415364008","doi":"https://doi.org/10.3389/frai.2025.1667167","title":"A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning","display_name":"A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415364008","doi":"https://doi.org/10.3389/frai.2025.1667167","pmid":"https://pubmed.ncbi.nlm.nih.gov/41190039"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2025.1667167","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1667167","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1667167/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1667167/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111129199","display_name":"Jinxin Tie","orcid":"https://orcid.org/0000-0003-2006-9294"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Tie","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012751895","display_name":"Chunfang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfang Yan","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102714061","display_name":"LI Mao-song","orcid":"https://orcid.org/0009-0005-9619-2944"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]},{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Li","raw_affiliation_strings":["College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","Technology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Technology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112538201","display_name":"Jianqiang Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Gong","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061225111","display_name":"Yujie Wu","orcid":"https://orcid.org/0000-0003-3738-4311"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wu","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111895482","display_name":"Hai-Lin Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Fang","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457451","display_name":"Meng Li","orcid":"https://orcid.org/0000-0002-2625-9024"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]},{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","Technology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Tobacco Science and Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Technology Center, China Tobacco Zhejiang Industrial Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092114527","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0003-3967-2472"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428322","display_name":"Jie Li","orcid":"https://orcid.org/0000-0003-0973-8645"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., Ningbo, China","institution_ids":["https://openalex.org/I2800556661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5092114527","https://openalex.org/A5100428322"],"corresponding_institution_ids":["https://openalex.org/I23171815","https://openalex.org/I2800556661"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":2.2845,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91242486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"1667167","last_page":"1667167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9340000152587891,"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":0.9340000152587891,"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":0.9333000183105469,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9196000099182129,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.6075000166893005},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6007000207901001},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5199000239372253},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5120999813079834},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5090000033378601},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4544999897480011},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.44200000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729999780654907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6514000296592712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.607699990272522},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6075000166893005},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6007000207901001},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4032000005245209},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.362199991941452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2025.1667167","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1667167","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1667167/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:41190039","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41190039","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":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:doaj.org/article:758f10cf71e4490196ab50c0f4833eee","is_oa":true,"landing_page_url":"https://doaj.org/article/758f10cf71e4490196ab50c0f4833eee","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 8 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11389488","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12580185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/frai.2025.1667167","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1667167","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1667167/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325433","display_name":"China National Tobacco Corporation","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415364008.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2061873757","https://openalex.org/W2083124376","https://openalex.org/W2100984859","https://openalex.org/W2101207645","https://openalex.org/W2118561568","https://openalex.org/W2765731044","https://openalex.org/W2783899258","https://openalex.org/W2890843359","https://openalex.org/W2932748297","https://openalex.org/W2946896694","https://openalex.org/W2951846567","https://openalex.org/W2954405162","https://openalex.org/W2966734007","https://openalex.org/W3006438498","https://openalex.org/W3015651876","https://openalex.org/W3041615757","https://openalex.org/W3046740743","https://openalex.org/W3097767360","https://openalex.org/W3105524694","https://openalex.org/W3117528838","https://openalex.org/W3120335677","https://openalex.org/W3137665052","https://openalex.org/W3186153394","https://openalex.org/W3212062851","https://openalex.org/W4313294147","https://openalex.org/W4323265954","https://openalex.org/W4323644264","https://openalex.org/W4388039622","https://openalex.org/W4389611930","https://openalex.org/W4403075240","https://openalex.org/W4403243873","https://openalex.org/W4403842423","https://openalex.org/W4407614889","https://openalex.org/W4408571050"],"related_works":[],"abstract_inverted_index":{"High-dimensional":[0],"data":[1],"often":[2],"contain":[3],"noisy":[4],"and":[5,12,30,60,88,100,161,176,195],"redundant":[6],"features,":[7],"posing":[8],"challenges":[9],"for":[10,198],"accurate":[11],"efficient":[13],"feature":[14,53,200],"selection.":[15,201],"To":[16,95],"address":[17],"this,":[18],"a":[19,47,70,102],"dynamic":[20],"multitask":[21],"learning":[22,29],"framework":[23,39],"is":[24,108],"proposed,":[25],"which":[26],"integrates":[27],"competitive":[28,71],"knowledge":[31,105,196],"transfer":[32,106],"within":[33],"an":[34,171,177],"evolutionary":[35],"optimization":[36,74,98],"setting.":[37],"The":[38],"begins":[40],"by":[41],"generating":[42],"two":[43],"complementary":[44],"tasks":[45,64],"through":[46],"multi-criteria":[48],"strategy":[49],"that":[50,128],"combines":[51],"multiple":[52],"relevance":[54],"indicators,":[55],"ensuring":[56],"both":[57,86],"global":[58],"comprehensiveness":[59],"local":[61],"focus.":[62],"These":[63],"are":[65],"optimized":[66],"in":[67,191],"parallel":[68],"using":[69],"particle":[72,83],"swarm":[73],"algorithm":[75,131],"enhanced":[76],"with":[77,136,170],"hierarchical":[78],"elite":[79,89,116],"learning,":[80],"where":[81],"each":[82],"learns":[84],"from":[85,115],"winners":[87],"individuals":[90],"to":[91,112,141],"avoid":[92],"premature":[93],"convergence.":[94],"further":[96],"improve":[97],"efficiency":[99],"diversity,":[101],"probabilistic":[103],"elite-based":[104],"mechanism":[107],"introduced,":[109],"allowing":[110],"particles":[111],"selectively":[113],"learn":[114],"solutions":[117],"across":[118],"tasks.":[119],"Experimental":[120],"results":[121],"on":[122,155,165],"13":[123,146,159],"high-dimensional":[124],"benchmark":[125],"datasets":[126,160],"demonstrate":[127],"the":[129,148,152,162],"proposed":[130,149],"achieves":[132,151],"superior":[133],"classification":[134],"accuracy":[135,154,173],"fewer":[137],"selected":[138,185],"features":[139,164],"compared":[140],"several":[142],"state-of-the-art":[143],"methods.":[144],"Across":[145],"benchmarks,":[147],"method":[150],"highest":[153],"11":[156],"out":[157,167],"of":[158,168,174,181],"fewest":[163],"eight":[166],"13,":[169],"average":[172,178],"87.24%":[175],"dimensionality":[179],"reduction":[180],"96.2%":[182],"(median":[183],"200":[184],"features),":[186],"clearly":[187],"validating":[188],"its":[189],"effectiveness":[190],"balancing":[192],"exploration,":[193],"exploitation,":[194],"sharing":[197],"robust":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-21T00:00:00"}
