{"id":"https://openalex.org/W2955983325","doi":"https://doi.org/10.1145/3321707.3321786","title":"Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms","display_name":"Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2955983325","doi":"https://doi.org/10.1145/3321707.3321786","mag":"2955983325"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321786","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110063849","display_name":"Ren\u00e9 Oramas Gonz\u00e1lez","orcid":null},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ren\u00e9 Gonz\u00e1lez","raw_affiliation_strings":["PUC-Rio, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PUC-Rio, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085598532","display_name":"Marley Vellasco","orcid":"https://orcid.org/0000-0002-9790-1328"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marley Vellasco","raw_affiliation_strings":["PUC-Rio, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PUC-Rio, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071526705","display_name":"Karla Figueiredo","orcid":"https://orcid.org/0000-0001-8420-3937"},"institutions":[{"id":"https://openalex.org/I40034438","display_name":"Universidade do Estado do Rio de Janeiro","ror":"https://ror.org/0198v2949","country_code":"BR","type":"education","lineage":["https://openalex.org/I40034438"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Karla Figueiredo","raw_affiliation_strings":["UERJ, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UERJ, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I40034438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9191,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94129159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"777","last_page":"786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.916700005531311,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727397441864014},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5159788727760315},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.47997045516967773},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46235474944114685},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4264536201953888},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.416191041469574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3979571461677551},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.396903395652771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20475232601165771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17972832918167114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1777069866657257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727397441864014},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5159788727760315},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.47997045516967773},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46235474944114685},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4264536201953888},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.416191041469574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3979571461677551},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.396903395652771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20475232601165771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17972832918167114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1777069866657257},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321707.3321786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321786","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W195738418","https://openalex.org/W1471164389","https://openalex.org/W1494845452","https://openalex.org/W1552130984","https://openalex.org/W1620538313","https://openalex.org/W1707164179","https://openalex.org/W1735943807","https://openalex.org/W1977834377","https://openalex.org/W1982043911","https://openalex.org/W1985031522","https://openalex.org/W1986888700","https://openalex.org/W2007805360","https://openalex.org/W2058260809","https://openalex.org/W2058979950","https://openalex.org/W2061574128","https://openalex.org/W2079513609","https://openalex.org/W2096189745","https://openalex.org/W2107172549","https://openalex.org/W2122274805","https://openalex.org/W2219111574","https://openalex.org/W2252184786","https://openalex.org/W2291090033","https://openalex.org/W2291638998","https://openalex.org/W2400344918","https://openalex.org/W2519843703","https://openalex.org/W2520065525","https://openalex.org/W2567185769","https://openalex.org/W2569376910","https://openalex.org/W2582786905","https://openalex.org/W2601285088","https://openalex.org/W2612530926","https://openalex.org/W2734298429","https://openalex.org/W2738408266","https://openalex.org/W2807861347","https://openalex.org/W2897207046","https://openalex.org/W2984633554"],"related_works":["https://openalex.org/W4298148284","https://openalex.org/W2394392475","https://openalex.org/W1551457437","https://openalex.org/W2112369369","https://openalex.org/W3008551433","https://openalex.org/W2090870617","https://openalex.org/W2913951735","https://openalex.org/W2025955409","https://openalex.org/W1986410062","https://openalex.org/W4231062255"],"abstract_inverted_index":{"Currently,":[0],"Health":[1],"Units":[2],"in":[3,9,90,144,152],"a":[4,53,58,128,139,150],"large":[5,42],"number":[6,43,115,164],"of":[7,26,32,44,66,97,116,119,124,131,155,158,165,168,170],"countries":[8],"the":[10,23,41,64,84,88,94,98,105,114,122,125,153,163],"world":[11],"present":[12],"service":[13],"demand":[14],"that":[15,46],"exceeds":[16],"their":[17],"real":[18],"capacities.":[19],"This":[20,50],"problem":[21],"causes":[22],"inevitable":[24],"emergence":[25],"long":[27],"waiting":[28,34,129],"lists.":[29],"The":[30,71,147],"optimization":[31],"such":[33],"list":[35,130],"is":[36],"very":[37],"challenging,":[38],"due":[39],"to":[40,62,82,87,92,103,109,160,172],"resources":[45,86],"must":[47],"be":[48],"considered.":[49],"paper":[51],"proposes":[52],"new":[54],"model,":[55,78,127],"based":[56],"on":[57],"quantum-inspired":[59],"evolutionary":[60],"algorithm,":[61],"optimize":[63],"scheduling":[65],"for":[67,75],"elective":[68],"surgical":[69],"procedures.":[70],"Quantum-Inspired":[72],"Evolutionary":[73],"Algorithm":[74],"Healthcare":[76],"(QIEA-H)":[77],"aims":[79],"not":[80],"only":[81],"designate":[83],"necessary":[85],"patients":[89],"order":[91],"achieve":[93],"successful":[95],"completion":[96],"chirurgical":[99],"procedure,":[100],"but":[101],"also":[102,142],"reduce":[104],"total":[106],"time":[107,154],"used":[108],"perform":[110],"all":[111,156],"surgeries":[112,117,133,157,166],"and":[113,137,162],"out":[118,167],"term.":[120],"For":[121],"validation":[123],"proposed":[126],"2000":[132],"was":[134],"created":[135],"artificially":[136],"using":[138],"simulation":[140],"tool":[141],"developed":[143],"this":[145],"work.":[146],"model":[148],"achieved":[149],"reduction":[151],"up":[159,171],"16.25%":[161],"date":[169],"13.04%.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}