{"id":"https://openalex.org/W4401458348","doi":"https://doi.org/10.1080/01605682.2024.2385467","title":"Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble","display_name":"Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401458348","doi":"https://doi.org/10.1080/01605682.2024.2385467"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2024.2385467","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2024.2385467","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5072943230","display_name":"Jiaming Liu","orcid":"https://orcid.org/0000-0003-3087-0288"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University","School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101892407","display_name":"Zihang Wang","orcid":"https://orcid.org/0009-0007-1273-3112"},"institutions":[{"id":"https://openalex.org/I109173049","display_name":"Beijing Foreign Studies University","ror":"https://ror.org/00jdr0662","country_code":"CN","type":"education","lineage":["https://openalex.org/I109173049"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihang Wang","raw_affiliation_strings":["School of Information Science and Technology, Beijing Foreign Studies University","School of Information Science and Technology, Beijing Foreign Studies University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Foreign Studies University","institution_ids":["https://openalex.org/I109173049"]},{"raw_affiliation_string":"School of Information Science and Technology, Beijing Foreign Studies University, Beijing, China","institution_ids":["https://openalex.org/I109173049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101892407"],"corresponding_institution_ids":["https://openalex.org/I109173049"],"apc_list":null,"apc_paid":null,"fwci":8.1744,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97323835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"76","issue":"4","first_page":"617","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9968000054359436,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9168999791145325,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6867411136627197},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6847022771835327},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6546581983566284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6135888695716858},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.45965996384620667},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44874709844589233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4401816129684448},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.4334043264389038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4223496913909912},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4167087972164154},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.41384610533714294},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.411118745803833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3964332342147827},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.32394441962242126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15304169058799744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15034916996955872},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1434156596660614},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.10673126578330994}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6867411136627197},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6847022771835327},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6546581983566284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6135888695716858},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.45965996384620667},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44874709844589233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4401816129684448},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.4334043264389038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4223496913909912},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4167087972164154},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.41384610533714294},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.411118745803833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3964332342147827},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.32394441962242126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15304169058799744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15034916996955872},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1434156596660614},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.10673126578330994},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1080/01605682.2024.2385467","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2024.2385467","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:76:y:2025:i:4:p:617-640","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2024.2385467","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5881263398","display_name":null,"funder_award_id":"71901014","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1966303763","https://openalex.org/W1972805005","https://openalex.org/W1994830145","https://openalex.org/W2002924018","https://openalex.org/W2004473119","https://openalex.org/W2007907335","https://openalex.org/W2011733579","https://openalex.org/W2014464762","https://openalex.org/W2020848494","https://openalex.org/W2031810636","https://openalex.org/W2035467379","https://openalex.org/W2041604057","https://openalex.org/W2047869949","https://openalex.org/W2048801439","https://openalex.org/W2062634819","https://openalex.org/W2065702555","https://openalex.org/W2083862258","https://openalex.org/W2093195672","https://openalex.org/W2124532504","https://openalex.org/W2124892836","https://openalex.org/W2130508343","https://openalex.org/W2135646341","https://openalex.org/W2162523902","https://openalex.org/W2166996073","https://openalex.org/W2235716330","https://openalex.org/W2335070090","https://openalex.org/W2571895513","https://openalex.org/W2599925391","https://openalex.org/W2603001146","https://openalex.org/W2626475703","https://openalex.org/W2761075141","https://openalex.org/W2789457647","https://openalex.org/W2799791930","https://openalex.org/W2889037094","https://openalex.org/W2898153843","https://openalex.org/W2962981269","https://openalex.org/W2964010325","https://openalex.org/W2964471674","https://openalex.org/W3003608897","https://openalex.org/W3020644100","https://openalex.org/W3044867970","https://openalex.org/W3047886575","https://openalex.org/W3088316021","https://openalex.org/W3094559308","https://openalex.org/W3096808766","https://openalex.org/W3112106267","https://openalex.org/W3126720980","https://openalex.org/W3127303281","https://openalex.org/W3133614530","https://openalex.org/W3136492818","https://openalex.org/W3142118701","https://openalex.org/W3158085445","https://openalex.org/W3164482271","https://openalex.org/W3197134568","https://openalex.org/W3210428300","https://openalex.org/W3215669537","https://openalex.org/W3216475965","https://openalex.org/W4200178216","https://openalex.org/W4200619076","https://openalex.org/W4211154164","https://openalex.org/W4223932288","https://openalex.org/W4224988735","https://openalex.org/W4253572110","https://openalex.org/W4281569614","https://openalex.org/W4281855090","https://openalex.org/W4291226689","https://openalex.org/W4300106150","https://openalex.org/W4307902142","https://openalex.org/W4308908953","https://openalex.org/W4313506223","https://openalex.org/W4318323524","https://openalex.org/W4322625652","https://openalex.org/W4385605033","https://openalex.org/W4385690917","https://openalex.org/W4386356491","https://openalex.org/W4386783396","https://openalex.org/W4387008354","https://openalex.org/W4387327851"],"related_works":["https://openalex.org/W3108206494","https://openalex.org/W2145188897","https://openalex.org/W2905156999","https://openalex.org/W2739726746","https://openalex.org/W4229460275","https://openalex.org/W4242380336","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471"],"abstract_inverted_index":{"Financial":[0],"distress":[1],"prediction":[2,123,142,157],"(FDP)":[3],"is":[4,24,72],"a":[5,25,58],"complex":[6],"task":[7],"involving":[8],"both":[9],"feature":[10,32,81,89],"selection":[11,33],"and":[12,47,94,140,159],"model":[13,37],"construction.":[14],"While":[15],"many":[16],"studies":[17],"have":[18],"addressed":[19],"these":[20],"challenges":[21],"individually,":[22],"there":[23],"lack":[26],"of":[27,44,119,125,134,166],"FDP":[28,101],"models":[29,79,107],"that":[30,152],"integrate":[31],"into":[34],"the":[35,42,87,100,122,126,146,156,160,164,167],"overall":[36],"building":[38],"process.":[39],"To":[40,98],"address":[41],"issues":[43],"fast":[45],"convergence":[46,93],"local":[48,96],"optimization":[49,53],"in":[50],"particle":[51],"swarm":[52],"(PSO),":[54],"this":[55],"study":[56],"proposes":[57],"modified":[59],"PSO":[60],"algorithm":[61],"with":[62],"three":[63],"improvement":[64],"strategies.":[65],"This":[66],"improved":[67,112],"PSO,":[68],"known":[69],"as":[70],"IPSO,":[71],"embedded":[73],"within":[74],"state-of-the-art":[75,104],"tree":[76,105],"boosting":[77,106],"ensemble":[78,115,161],"for":[80],"selection.":[82],"IPSO":[83,120,153],"continuously":[84],"evolves":[85],"toward":[86],"optimal":[88],"subset,":[90],"preventing":[91],"premature":[92],"avoiding":[95],"optima.":[97],"construct":[99],"model,":[102],"four":[103],"are":[108,130],"combined":[109],"using":[110],"an":[111],"majority":[113],"voting":[114],"strategy.":[116],"The":[117,149],"integration":[118],"enhances":[121,163],"performance":[124],"model.":[127,148],"Comparative":[128],"experiments":[129],"conducted":[131],"on":[132],"samples":[133],"Chinese":[135],"listed":[136],"companies":[137],"under":[138],"short-term":[139],"long-term":[141],"scenarios":[143],"to":[144],"evaluate":[145],"proposed":[147],"results":[150],"demonstrate":[151],"significantly":[154],"improves":[155],"performance,":[158],"strategy":[162],"robustness":[165],"predictions.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
