{"id":"https://openalex.org/W4415209062","doi":"https://doi.org/10.3390/sym17101735","title":"A Dynamic Surrogate-Assisted Hybrid Breeding Algorithm for High-Dimensional Imbalanced Feature Selection","display_name":"A Dynamic Surrogate-Assisted Hybrid Breeding Algorithm for High-Dimensional Imbalanced Feature Selection","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415209062","doi":"https://doi.org/10.3390/sym17101735"},"language":"en","primary_location":{"id":"doi:10.3390/sym17101735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101735","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/sym17101735","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065855286","display_name":"Yujun Ma","orcid":"https://orcid.org/0000-0003-2733-8813"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Ma","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Binjing Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binjing Liao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075443647","display_name":"Zhiwei \u1ef8e","orcid":"https://orcid.org/0000-0002-1218-0681"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":"https://orcid.org/0000-0002-1218-0681","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.576,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71293707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"17","issue":"10","first_page":"1735","last_page":"1735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.8851000070571899,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.8851000070571899,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11495","display_name":"Animal Virus Infections Studies","score":0.8833000063896179,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.863099992275238,"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":0.673799991607666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5985999703407288},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5927000045776367},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5411999821662903},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48089998960494995},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.4253000020980835},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41339999437332153},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4009000062942505}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.673799991607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628000140190125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5985999703407288},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5411999821662903},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44940000772476196},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3977999985218048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3817000091075897},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.3743000030517578},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17101735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101735","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17101735","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101735","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2051854037","display_name":null,"funder_award_id":"62302154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2773032405","display_name":null,"funder_award_id":"62376089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2998485371","display_name":null,"funder_award_id":"62302153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8276535520","display_name":null,"funder_award_id":"U23A20318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1992597081","https://openalex.org/W2475596014","https://openalex.org/W2528216621","https://openalex.org/W2897501303","https://openalex.org/W3133896312","https://openalex.org/W3137665052","https://openalex.org/W3173682517","https://openalex.org/W4205713982","https://openalex.org/W4210844402","https://openalex.org/W4285201879","https://openalex.org/W4293258807","https://openalex.org/W4301420340","https://openalex.org/W4309419777","https://openalex.org/W4313201155","https://openalex.org/W4316126697","https://openalex.org/W4317794917","https://openalex.org/W4323644264","https://openalex.org/W4327719930","https://openalex.org/W4352976880","https://openalex.org/W4376274582","https://openalex.org/W4376869160","https://openalex.org/W4382515280","https://openalex.org/W4387394267","https://openalex.org/W4387956063","https://openalex.org/W4390102210","https://openalex.org/W4390534276","https://openalex.org/W4390674547","https://openalex.org/W4390824079","https://openalex.org/W4391799681","https://openalex.org/W4392882189","https://openalex.org/W4393241439","https://openalex.org/W4395662613","https://openalex.org/W4397035618","https://openalex.org/W4399555641","https://openalex.org/W4400438510","https://openalex.org/W4400877579","https://openalex.org/W4401007481","https://openalex.org/W4401476348","https://openalex.org/W4402389046","https://openalex.org/W4402473912","https://openalex.org/W4402569833","https://openalex.org/W4403271502","https://openalex.org/W4404622795","https://openalex.org/W4405139626","https://openalex.org/W4406120261","https://openalex.org/W4408968224","https://openalex.org/W4409019736","https://openalex.org/W4411116720","https://openalex.org/W4412844362"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,91],"growing":[2],"complexity":[3],"of":[4,73],"high-dimensional":[5,155],"imbalanced":[6,119,156],"datasets":[7,120],"in":[8,53,130,135,142],"critical":[9],"fields":[10],"such":[11],"as":[12],"medical":[13],"diagnosis":[14],"and":[15,29,45,79,103,112,138,159],"bioinformatics,":[16],"feature":[17,37,43,157],"selection":[18,38,158],"has":[19],"become":[20],"essential":[21],"to":[22,75,107],"reduce":[23],"computational":[24,143],"costs,":[25],"alleviate":[26],"model":[27],"bias,":[28],"improve":[30],"classification":[31],"performance.":[32],"DS-IHBO,":[33],"a":[34,67,127,132],"dynamic":[35,68],"surrogate-assisted":[36,59],"algorithm":[39,94],"integrating":[40],"relevance-based":[41],"redundant":[42],"filtering":[44],"an":[46,139],"improved":[47],"hybrid":[48,92],"breeding":[49,93],"algorithm,":[50],"is":[51],"presented":[52],"this":[54],"paper.":[55],"Departing":[56],"from":[57],"traditional":[58],"approaches":[60],"that":[61,124],"use":[62],"static":[63],"approximations,":[64],"DS-IHBO":[65,125],"employs":[66],"surrogate":[69,84],"switching":[70],"mechanism":[71],"capable":[72],"adapting":[74],"diverse":[76],"data":[77],"distributions":[78],"imbalance":[80],"ratios":[81],"through":[82],"multiple":[83],"units":[85],"built":[86],"via":[87],"clustering.":[88],"It":[89],"enhances":[90],"with":[95,146],"asymmetric":[96],"stratified":[97],"population":[98],"initialization,":[99],"adaptive":[100],"differential":[101],"operators,":[102],"t-distribution":[104],"mutation":[105],"strategies":[106],"strengthen":[108],"its":[109,152],"global":[110],"exploration":[111],"convergence":[113],"accuracy.":[114],"Tests":[115],"on":[116],"12":[117],"real-world":[118,163],"(4\u201398%":[121],"imbalance)":[122],"show":[123],"achieves":[126],"3.48%":[128],"improvement":[129,134],"accuracy,":[131],"4.80%":[133],"F1":[136],"score,":[137],"83.85%":[140],"reduction":[141],"time":[144],"compared":[145],"leading":[147],"methods.":[148],"These":[149],"results":[150],"demonstrate":[151],"effectiveness":[153],"for":[154,162],"strong":[160],"potential":[161],"applications.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-16T00:00:00"}