{"id":"https://openalex.org/W2938315918","doi":"https://doi.org/10.1080/09540091.2019.1603200","title":"Combining evolutionary computation with the variable neighbourhood search in creating an artificial music composer","display_name":"Combining evolutionary computation with the variable neighbourhood search in creating an artificial music composer","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2938315918","doi":"https://doi.org/10.1080/09540091.2019.1603200","mag":"2938315918"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2019.1603200","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2019.1603200","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2019.1603200?needAccess=true&role=button","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2019.1603200?needAccess=true&role=button","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007082228","display_name":"Reza Zamani","orcid":"https://orcid.org/0000-0002-7948-5500"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Reza Zamani","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007082228"],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":null,"fwci":0.1132,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45788394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"3","first_page":"267","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8382092714309692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941354274749756},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5844379663467407},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5035549998283386},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5018703937530518},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.4758679270744324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45378419756889343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3942146301269531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2683560848236084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2463843822479248}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8382092714309692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941354274749756},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5844379663467407},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5035549998283386},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5018703937530518},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.4758679270744324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45378419756889343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3942146301269531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2683560848236084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2463843822479248},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/09540091.2019.1603200","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2019.1603200","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2019.1603200?needAccess=true&role=button","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:ro.uow.edu.au:eispapers1-3700","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers1/2691","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part B","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:8d09e7825def4969afd6aedef1c9d9b7","is_oa":false,"landing_page_url":"https://doaj.org/article/8d09e7825def4969afd6aedef1c9d9b7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 31, Iss 3, Pp 267-293 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2019.1603200","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2019.1603200","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2019.1603200?needAccess=true&role=button","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2938315918.pdf","grobid_xml":"https://content.openalex.org/works/W2938315918.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W808550106","https://openalex.org/W1501340791","https://openalex.org/W1604078357","https://openalex.org/W1897056990","https://openalex.org/W1963561683","https://openalex.org/W1966910303","https://openalex.org/W1972566272","https://openalex.org/W1973961215","https://openalex.org/W1984573821","https://openalex.org/W1986472531","https://openalex.org/W1986852048","https://openalex.org/W1987061061","https://openalex.org/W1987599259","https://openalex.org/W2007081321","https://openalex.org/W2023641336","https://openalex.org/W2028627617","https://openalex.org/W2030767336","https://openalex.org/W2039423452","https://openalex.org/W2047434808","https://openalex.org/W2059927004","https://openalex.org/W2070360846","https://openalex.org/W2080281941","https://openalex.org/W2091949280","https://openalex.org/W2091955587","https://openalex.org/W2110300241","https://openalex.org/W2110925828","https://openalex.org/W2111066885","https://openalex.org/W2116417064","https://openalex.org/W2127935563","https://openalex.org/W2128364801","https://openalex.org/W2142668232","https://openalex.org/W2144836808","https://openalex.org/W2152008715","https://openalex.org/W2153294562","https://openalex.org/W2164643941","https://openalex.org/W2164987755","https://openalex.org/W2305619035","https://openalex.org/W2310425364","https://openalex.org/W2319315985","https://openalex.org/W2530710827","https://openalex.org/W2574196009","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2371108399","https://openalex.org/W2525152177","https://openalex.org/W2979917306","https://openalex.org/W1568364087","https://openalex.org/W2369738212","https://openalex.org/W2152922390","https://openalex.org/W2383252209","https://openalex.org/W2381787154","https://openalex.org/W2163027130","https://openalex.org/W1617803207"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,31,35,126,203],"procedure":[4,26,186],"which":[5],"composes":[6],"music":[7,87],"pieces":[8],"through":[9,139,207],"handling":[10],"four":[11,64,209],"layers":[12],"in":[13,54,79,166,202],"music,":[14],"namely":[15],"pitches,":[16],"rhythms,":[17],"dynamics,":[18],"and":[19,41,72,95,130,169,198],"timber.":[20],"As":[21,178],"an":[22,120],"innovative":[23],"feature,":[24],"the":[25,28,52,55,68,73,80,90,96,109,133,136,140,148,175,182,185,200],"uses":[27],"combination":[29],"of":[30,82,86,111,123,135],"genetic":[32,57,145],"algorithm":[33,146],"with":[34,62,118,125,194],"synergetic":[36],"variable":[37,149],"neighbourhood":[38,150],"search.":[39],"Uniform":[40],"one-point":[42,92],"crossover":[43,70,93],"operators":[44,50,65],"as":[45,47,180],"well":[46,179],"two":[48],"mutation":[49,75,98],"conduct":[51],"search":[53,151],"employed":[56,91,144],"algorithm.":[58],"The":[59,115,143],"key":[60],"point":[61],"these":[63],"is":[66,105],"that":[67],"uniform":[69],"operator":[71,76,94,99],"first":[74],"are":[77,100],"indiscriminate,":[78],"sense":[81],"using":[83],"no":[84],"knowledge":[85],"theory,":[88],"whereas":[89],"second":[97],"musically":[101,127],"informed.":[102],"Music":[103],"theory":[104],"used":[106],"for":[107,158],"finding":[108],"suitability":[110,134],"its":[112,154],"generated":[113,155],"pieces.":[114],"method":[116,152],"starts":[117],"generating":[119],"initial":[121],"sequence":[122,138],"pitches":[124],"informed":[128],"module":[129],"then":[131],"calculates":[132],"pitch":[137],"embedded":[141],"rules.":[142],"applies":[147],"to":[153,189],"offspring":[156],"genomes":[157],"increasing":[159],"their":[160],"quality.":[161],"Pieces":[162],"can":[163],"be":[164],"composed":[165],"major,":[167],"minor,":[168],"harmonic":[170],"minor":[171],"scales":[172],"based":[173],"on":[174],"user\u2019s":[176],"request.":[177],"composing":[181],"main":[183,196],"notes,":[184],"generates":[187],"up":[188],"three":[190],"chord":[191],"notes":[192],"associated":[193],"each":[195],"note":[197],"plays":[199],"result":[201],"novel":[204],"multithreading":[205],"environment":[206],"running":[208],"threads":[210],"concurrently.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
