{"id":"https://openalex.org/W7225747739","doi":"https://doi.org/10.1007/s43926-026-00524-2","title":"Application of Ant Colony algorithm in music teaching resource scheduling and optimization","display_name":"Application of Ant Colony algorithm in music teaching resource scheduling and optimization","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225747739","doi":"https://doi.org/10.1007/s43926-026-00524-2"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-026-00524-2","doi":"https://doi.org/10.1007/s43926-026-00524-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00524-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","oarl"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43926-026-00524-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161400314","display_name":"Cong Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Xinjiang Normal University, Urumqi, 830054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, Urumqi, 830054, China","institution_ids":["https://openalex.org/I1334729051"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5161400314"],"corresponding_institution_ids":["https://openalex.org/I1334729051"],"apc_list":{"value":1590,"currency":"USD","value_usd":1590},"apc_paid":{"value":1590,"currency":"USD","value_usd":1590},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.913100004196167,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.913100004196167,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.052400000393390656,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.008899999782443047,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855000257492065},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.47920000553131104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37380000948905945},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.34470000863075256},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.3375000059604645},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.31290000677108765},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30489999055862427},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2912999987602234},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.2777999937534332},{"id":"https://openalex.org/C65414064","wikidata":"https://www.wikidata.org/wiki/Q484105","display_name":"Autonomy","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.2662000060081482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26510000228881836},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s43926-026-00524-2","doi":"https://doi.org/10.1007/s43926-026-00524-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00524-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","oarl"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s43926-026-00524-2","doi":"https://doi.org/10.1007/s43926-026-00524-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00524-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","oarl"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W3031408359","https://openalex.org/W3135053105","https://openalex.org/W3162388097","https://openalex.org/W3191935702","https://openalex.org/W3213166752","https://openalex.org/W4220786059","https://openalex.org/W4284670365","https://openalex.org/W4289522832","https://openalex.org/W4292837627","https://openalex.org/W4293238820","https://openalex.org/W4317426213","https://openalex.org/W4320712896","https://openalex.org/W4386569255","https://openalex.org/W4387338546","https://openalex.org/W4390906365","https://openalex.org/W4391921172","https://openalex.org/W4394979816","https://openalex.org/W4400353755","https://openalex.org/W4400412697","https://openalex.org/W4404389019","https://openalex.org/W4406402952","https://openalex.org/W4408246739","https://openalex.org/W4409884933","https://openalex.org/W4411765215","https://openalex.org/W4412105096"],"related_works":[],"abstract_inverted_index":{"Effective":[0],"allocation":[1],"of":[2,22,44,50,106,115,132,135,142,179,201],"resources,":[3],"such":[4,154],"as":[5,155],"staff,":[6],"classrooms":[7],"and":[8,18,28,46,52,72,99,137,182,210,225],"instruments,":[9],"for":[10,56,82,145],"music":[11,23,120,212,230],"education":[12,24,121],"is":[13],"vital":[14],"to":[15,40,84,103,112,127,228],"improve":[16],"learning":[17,57,187],"productivity.":[19],"The":[20,108,219],"characteristics":[21],"are":[25,174],"multiple":[26],"constraints":[27],"dynamism,":[29],"which":[30],"the":[31,62,86,190],"current":[32],"method":[33,220],"cannot":[34],"be":[35],"solved.":[36],"Current":[37],"methods":[38],"tend":[39],"generate":[41],"a":[42,47,65,79,113,223,233],"lot":[43],"conflict":[45],"low":[48],"utilisation":[49],"resources":[51,92,231],"do":[53],"not":[54,183],"cater":[55],"needs.":[58],"In":[59],"this":[60],"study,":[61],"authors":[63],"suggest":[64],"hybrid":[66],"model":[67,81],"called":[68],"Ant":[69],"Colony":[70],"Optimization":[71],"Constraint":[73],"Based":[74],"Scheduling":[75],"(ACO-CS)":[76],"based":[77,177],"on":[78],"combinatorial":[80],"scheduling":[83,117,147,180],"overcome":[85],"above":[87],"problems.":[88],"ACO-CS":[89],"dynamically":[90],"allocates":[91],"without":[93],"conflicts":[94],"by":[95],"searching":[96],"using":[97],"pheromone":[98],"applying":[100],"constraint-based":[101],"rules":[102],"enhance":[104],"capacity":[105],"resources.":[107],"approach":[109],"was":[110,199,206,215],"applied":[111],"number":[114],"different-sized":[116],"problems":[118],"in":[119,232],"that":[122],"were":[123,192],"simulated.":[124],"It":[125],"led":[126],"0.8":[128],"conflicts/session,":[129],"an":[130,138],"efficiency":[131],"resource":[133],"utilization":[134],"89.6%":[136],"average":[139],"computational":[140],"time":[141],"2.9":[143],"s":[144],"1000":[146],"sessions.":[148],"Also,":[149],"all":[150],"evaluation":[151],"metrics":[152],"reported,":[153],"Learning":[156],"Outcome":[157],"Rate":[158],"(simulated":[159],"LOR),":[160],"Simulated":[161,170,204],"Teaching":[162],"Efficiency":[163],"Ratio":[164],"(TER),":[165],"Student":[166],"Synthetic":[167],"Autonomy":[168],"Index,":[169],"Music":[171],"Performance":[172],"Score,":[173],"model-derived":[175],"simulation":[176],"measures":[178],"performance":[181,213],"pedagogical":[184],"or":[185],"student":[186],"outcomes.":[188],"When":[189],"parameters":[191],"simulated":[193,197,211],"under":[194],"control":[195],"conditions,":[196],"LOR":[198],"obtained":[200,216],"about":[202],"89%,":[203],"TER":[205],"observed":[207],"at":[208,217],"1.15,":[209],"score":[214],"92%.":[218],"will":[221],"show":[222],"scalable":[224],"efficient":[226],"solution":[227],"schedule":[229],"synthetic":[234],"constraint":[235],"environment.":[236]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}
