{"id":"https://openalex.org/W3113228261","doi":"https://doi.org/10.1109/tcyb.2020.3034427","title":"An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization","display_name":"An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3113228261","doi":"https://doi.org/10.1109/tcyb.2020.3034427","mag":"3113228261","pmid":"https://pubmed.ncbi.nlm.nih.gov/33296320"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3034427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3034427","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/A5016231511","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0003-0277-3077"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050385116","display_name":"Wei\u2013Neng Chen","orcid":"https://orcid.org/0000-0003-0843-5802"},"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":"Wei-Neng Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Guangdong-Hong Kong Joint Innovative Platform of Big Data and Computational Intelligence, South China University of Technology, Guangzhou, China","State Key Laboratory of Subtropical Building Science, 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"]},{"raw_affiliation_string":"Guangdong-Hong Kong Joint Innovative Platform of Big Data and Computational Intelligence, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036224495","display_name":"Tianlong Gu","orcid":"https://orcid.org/0000-0002-1662-7110"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlong Gu","raw_affiliation_strings":["School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000394846","display_name":"Hu Jin","orcid":"https://orcid.org/0000-0002-3505-6843"},"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":"Hu Jin","raw_affiliation_strings":["Division of Electrical Engineering, Hanyang University, Ansan, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Electrical Engineering, Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033586311","display_name":"Wentao Mao","orcid":"https://orcid.org/0000-0001-5335-9517"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Mao","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"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/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["ISILC, University of Victoria, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"ISILC, University of Victoria, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5016231511"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":6.5853,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.97320777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"52","issue":"3","first_page":"1960","last_page":"1976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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/T12676","display_name":"Machine Learning and ELM","score":0.9939000010490417,"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":0.968500018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6853083372116089},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6702533960342407},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6607455015182495},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.660290002822876},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5640668272972107},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5618842244148254},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5108249187469482},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46700534224510193},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.4207053482532501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203379511833191},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25169622898101807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.183610200881958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853083372116089},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6702533960342407},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6607455015182495},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.660290002822876},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5640668272972107},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5618842244148254},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5108249187469482},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46700534224510193},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.4207053482532501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203379511833191},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25169622898101807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.183610200881958},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2020.3034427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3034427","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:33296320","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33296320","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},{"id":"pmh:oai:eprints.vu.edu.au:45242","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/45242/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"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":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G264406119","display_name":null,"funder_award_id":"62006124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4806771921","display_name":null,"funder_award_id":"61876111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6023401040","display_name":null,"funder_award_id":"2018AAA0101300","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G8277581525","display_name":null,"funder_award_id":"61976093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8589418834","display_name":null,"funder_award_id":"BK20200811","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1492990133","https://openalex.org/W1492996112","https://openalex.org/W1545960569","https://openalex.org/W1555689267","https://openalex.org/W1595159159","https://openalex.org/W1970311014","https://openalex.org/W1983947028","https://openalex.org/W1985767941","https://openalex.org/W1994019844","https://openalex.org/W1995972800","https://openalex.org/W1996936486","https://openalex.org/W2003938582","https://openalex.org/W2005383742","https://openalex.org/W2005871942","https://openalex.org/W2008316291","https://openalex.org/W2045050140","https://openalex.org/W2062050542","https://openalex.org/W2064050115","https://openalex.org/W2069650035","https://openalex.org/W2078617346","https://openalex.org/W2078702416","https://openalex.org/W2081524587","https://openalex.org/W2083206808","https://openalex.org/W2094998528","https://openalex.org/W2109364787","https://openalex.org/W2109472859","https://openalex.org/W2116436884","https://openalex.org/W2121429049","https://openalex.org/W2123066915","https://openalex.org/W2131613989","https://openalex.org/W2132189459","https://openalex.org/W2135232426","https://openalex.org/W2135564892","https://openalex.org/W2139411991","https://openalex.org/W2140491475","https://openalex.org/W2145418868","https://openalex.org/W2152195021","https://openalex.org/W2155005783","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2156566884","https://openalex.org/W2160615157","https://openalex.org/W2162012556","https://openalex.org/W2165299997","https://openalex.org/W2285034650","https://openalex.org/W2338148498","https://openalex.org/W2413634576","https://openalex.org/W2416799949","https://openalex.org/W2464527493","https://openalex.org/W2480160412","https://openalex.org/W2507510427","https://openalex.org/W2528103328","https://openalex.org/W2533800621","https://openalex.org/W2554924637","https://openalex.org/W2562277660","https://openalex.org/W2595987870","https://openalex.org/W2601159143","https://openalex.org/W2608705546","https://openalex.org/W2610402045","https://openalex.org/W2626371998","https://openalex.org/W2753899746","https://openalex.org/W2766293931","https://openalex.org/W2769744156","https://openalex.org/W2845268560","https://openalex.org/W2885651417","https://openalex.org/W2890087117","https://openalex.org/W2897533479","https://openalex.org/W2898159407","https://openalex.org/W2901412188","https://openalex.org/W2907416561","https://openalex.org/W2908048701","https://openalex.org/W2916083864","https://openalex.org/W2940478829","https://openalex.org/W2957304166","https://openalex.org/W2963239676","https://openalex.org/W2963939672","https://openalex.org/W2964379102","https://openalex.org/W2964437776","https://openalex.org/W2975247499","https://openalex.org/W2997585558","https://openalex.org/W3012086464","https://openalex.org/W3012205554","https://openalex.org/W3080882303","https://openalex.org/W3120740533","https://openalex.org/W4244238212","https://openalex.org/W6676230053","https://openalex.org/W6759375221"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W2349895019","https://openalex.org/W2241146626","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2070977815","https://openalex.org/W2121780490","https://openalex.org/W2137136732"],"abstract_inverted_index":{"High-dimensional":[0],"problems":[1,17,222],"are":[2,80,209],"ubiquitous":[3],"in":[4,172,212,230],"many":[5],"fields,":[6],"yet":[7,28],"still":[8],"remain":[9],"challenging":[10],"to":[11,58,92,101,119,129,184,219],"be":[12,120],"solved.":[13],"To":[14,122],"tackle":[15],"such":[16],"with":[18],"high":[19,103,157],"effectiveness":[20,226],"and":[21,43,54,180],"efficiency,":[22],"this":[23,36,63,84,127,228],"article":[24],"proposes":[25],"a":[26,65],"simple":[27],"efficient":[29],"stochastic":[30],"dominant":[31],"learning":[32],"swarm":[33,41,79,104],"optimizer.":[34],"Particularly,":[35],"optimizer":[37,128,165,196,229],"not":[38],"only":[39,69,110],"compromises":[40],"diversity":[42],"convergence":[44,116,177],"speed":[45],"properly,":[46],"but":[47],"also":[48],"consumes":[49],"as":[50,56],"little":[51],"computing":[52],"time":[53],"space":[55],"possible":[57,100],"locate":[59],"the":[60,77,95,124,143,149,163,194,217,225],"optima.":[61],"In":[62,83,188,215],"optimizer,":[64],"particle":[66,87,109],"is":[67,117,138],"updated":[68,108],"when":[70],"its":[71,81,113],"two":[72,156],"exemplars":[73],"randomly":[74],"selected":[75],"from":[76,112],"current":[78],"dominators.":[82],"way,":[85],"each":[86,107],"has":[88],"an":[89,133],"implicit":[90],"probability":[91],"directly":[93],"enter":[94],"next":[96],"generation,":[97],"making":[98],"it":[99],"maintain":[102],"diversity.":[105],"Since":[106],"learns":[111],"dominators,":[114],"good":[115],"likely":[118],"achieved.":[121],"alleviate":[123],"sensitivity":[125],"of":[126,146,174,227],"newly":[130],"introduced":[131],"parameters,":[132],"adaptive":[134],"parameter":[135],"adjustment":[136],"strategy":[137],"further":[139,223],"designed":[140],"based":[141],"on":[142,155,199],"evolutionary":[144],"information":[145],"particles":[147],"at":[148],"individual":[150],"level.":[151],"Finally,":[152],"extensive":[153],"experiments":[154],"dimensional":[158],"benchmark":[159],"sets":[160],"substantiate":[161],"that":[162,193],"devised":[164],"achieves":[166],"competitive":[167],"or":[168],"even":[169],"better":[170],"performance":[171],"terms":[173],"solution":[175],"quality,":[176],"speed,":[178],"scalability,":[179],"computational":[181],"cost,":[182],"compared":[183],"several":[185],"state-of-the-art":[186],"methods.":[187],"particular,":[189],"experimental":[190],"results":[191],"show":[192],"proposed":[195],"performs":[197],"excellently":[198],"partially":[200,204],"separable":[201,205],"problems,":[202,207],"especially":[203],"multimodal":[206],"which":[208],"very":[210],"common":[211],"real-world":[213,232],"applications.":[214],"addition,":[216],"application":[218],"feature":[220],"selection":[221],"demonstrates":[224],"tackling":[231],"problems.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
