{"id":"https://openalex.org/W4415176433","doi":"https://doi.org/10.1142/s0218126626500118","title":"Multi-Objective Differential Evolution Algorithm for Personalized and Adaptive Training in Sports Education","display_name":"Multi-Objective Differential Evolution Algorithm for Personalized and Adaptive Training in Sports Education","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415176433","doi":"https://doi.org/10.1142/s0218126626500118"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126626500118","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126626500118","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":null,"display_name":"Chen Zhu","orcid":"https://orcid.org/0009-0009-5284-4073"},"institutions":[{"id":"https://openalex.org/I4210166603","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166603"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhu","raw_affiliation_strings":["Department of Physical Education, Jinling Institute of Technology, Nanjing, Jiangsu 211169, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-5284-4073","affiliations":[{"raw_affiliation_string":"Department of Physical Education, Jinling Institute of Technology, Nanjing, Jiangsu 211169, P. R. China","institution_ids":["https://openalex.org/I4210166603"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kun Liu","orcid":"https://orcid.org/0009-0008-9534-9403"},"institutions":[{"id":"https://openalex.org/I4210166603","display_name":"Jinling Institute of Technology","ror":"https://ror.org/05em1gq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166603"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Liu","raw_affiliation_strings":["Department of Physical Education, Jinling Institute of Technology, Nanjing, Jiangsu 211169, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-9534-9403","affiliations":[{"raw_affiliation_string":"Department of Physical Education, Jinling Institute of Technology, Nanjing, Jiangsu 211169, P. R. China","institution_ids":["https://openalex.org/I4210166603"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210166603"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27593911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"09","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.8849999904632568,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.8849999904632568,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6944000124931335},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5532000064849854},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.510699987411499},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.47999998927116394},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.4350000023841858},{"id":"https://openalex.org/keywords/endurance-training","display_name":"Endurance training","score":0.4235000014305115},{"id":"https://openalex.org/keywords/training-effect","display_name":"Training effect","score":0.4083000123500824},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.39579999446868896}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6944000124931335},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5532000064849854},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.510699987411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4993000030517578},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.47999998927116394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42750000953674316},{"id":"https://openalex.org/C99830354","wikidata":"https://www.wikidata.org/wiki/Q362854","display_name":"Endurance training","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C178441611","wikidata":"https://www.wikidata.org/wiki/Q472094","display_name":"Training effect","level":3,"score":0.4083000123500824},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3269999921321869},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2827000021934509},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2779258753","wikidata":"https://www.wikidata.org/wiki/Q4813769","display_name":"Athletic training","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C123550912","wikidata":"https://www.wikidata.org/wiki/Q12834857","display_name":"Strength training","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126626500118","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126626500118","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2898391595","https://openalex.org/W2898607919","https://openalex.org/W2917863084","https://openalex.org/W2943081640","https://openalex.org/W2982702255","https://openalex.org/W2984901961","https://openalex.org/W3005472110","https://openalex.org/W3008225820","https://openalex.org/W3016093750","https://openalex.org/W3026812208","https://openalex.org/W3040572461","https://openalex.org/W3087662751","https://openalex.org/W3132362810","https://openalex.org/W3136012287","https://openalex.org/W3137569991","https://openalex.org/W3137769029","https://openalex.org/W3175300201","https://openalex.org/W3179808314","https://openalex.org/W3195676866","https://openalex.org/W4220669825","https://openalex.org/W4287660544","https://openalex.org/W4290459660","https://openalex.org/W4293084330","https://openalex.org/W4313256952","https://openalex.org/W4324134948","https://openalex.org/W4389641069","https://openalex.org/W4401803487"],"related_works":[],"abstract_inverted_index":{"In":[0,22,36],"sports":[1,154],"education":[2],"and":[3,51,76,82,85,115,149,175,185,208,219,224,237,249,255,276],"training,":[4],"the":[5,12,24,31,37,48,52,55,93,100,119,123,130,134,142,146,151,163,168,177,196,225,243,246,268],"existing":[6],"training":[7,20,25,56,96,107,136,143,147,164,178,189,260],"model":[8,90,261],"fails":[9],"to":[10,91,99,117,166,181,187,212,230],"consider":[11],"individual":[13,88,101],"differences":[14],"of":[15,33,44,47,54,95,106,122,126,153,170,201,270,279],"athletes,":[16],"resulting":[17],"in":[18,172,203,263],"unsatisfactory":[19],"results.":[21],"addition,":[23],"items":[26],"are":[27],"often":[28],"single,":[29],"ignoring":[30],"necessity":[32],"multi-objective":[34,69],"training.":[35],"implementation":[38],"process,":[39],"there":[40],"is":[41,58,160],"a":[42,63,104,273,277],"lack":[43,278],"dynamic":[45,157,280],"adjustment":[46],"athlete\u2019s":[49],"state,":[50],"adaptability":[53],"plan":[57,137,179],"poor.":[59],"This":[60],"paper":[61,265],"proposed":[62,262],"molecular":[64,131],"docking":[65,132],"algorithm":[66],"based":[67],"on":[68],"differential":[70],"evolution":[71],"(MODE).":[72],"Through":[73],"data":[74,184],"collection":[75],"analysis,":[77],"it":[78],"identified":[79],"athletes\u2019":[80],"physiological":[81,183],"psychological":[83],"characteristics":[84],"constructed":[86],"an":[87],"difference":[89,102],"guide":[92],"formulation":[94],"goals.":[97],"According":[98],"model,":[103],"variety":[105],"goals":[108],"were":[109,252],"set,":[110],"such":[111],"as":[112],"strength,":[113,247],"endurance":[114,248],"flexibility,":[116],"ensure":[118],"comprehensive":[120,124],"improvement":[121],"quality":[125],"athletes.":[127],"Combined":[128],"with":[129,242],"algorithm,":[133],"optimal":[135],"was":[138],"found":[139],"by":[140],"optimizing":[141],"combination,":[144],"maximizing":[145],"effect":[148],"reducing":[150],"risk":[152],"injuries.":[155],"A":[156],"feedback":[158],"mechanism":[159],"established":[161],"during":[162],"process":[165],"monitor":[167],"status":[169],"athletes":[171,202],"real":[173],"time":[174],"adjust":[176],"according":[180],"their":[182],"performance":[186],"improve":[188],"adaptability.":[190],"The":[191,259],"experimental":[192],"results":[193],"show":[194],"that":[195],"average":[197,226],"maximum":[198],"oxygen":[199],"uptake":[200],"group":[204,206,209],"A,":[205],"B":[207],"C":[210],"increased":[211,229],"63[Formula:":[213],"see":[214,217,221,232,235,239],"text]mL/kg/min,":[215,222],"52[Formula:":[216],"text]mL/kg/min":[218],"67[Formula:":[220],"respectively,":[223],"muscle":[227],"strength":[228],"110[Formula:":[231],"text]kg,":[233],"92[Formula:":[234],"text]kg":[236],"101[Formula:":[238],"text]kg.":[240],"Compared":[241],"traditional":[244],"program,":[245],"flexibility":[250],"scores":[251],"8.5,":[253],"8.0":[254],"9.3":[256],"points,":[257],"respectively.":[258],"this":[264],"effectively":[266],"solves":[267],"problems":[269],"insufficient":[271],"personalization,":[272],"single":[274],"goal":[275],"adjustment.":[281]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-15T00:00:00"}