{"id":"https://openalex.org/W3108825117","doi":"https://doi.org/10.1109/codit49905.2020.9263847","title":"Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling","display_name":"Effectiveness of NSGA-II with Linearly Scheduled Pareto-Partial Dominance for Practical Many-Objecitve Nurse Scheduling","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3108825117","doi":"https://doi.org/10.1109/codit49905.2020.9263847","mag":"3108825117"},"language":"en","primary_location":{"id":"doi:10.1109/codit49905.2020.9263847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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":"https://openalex.org/A5090997632","display_name":"Makoto Ohki","orcid":"https://orcid.org/0000-0002-8682-6238"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Makoto Ohki","raw_affiliation_strings":["faculty of Engineering, Tottori Univeristy, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"faculty of Engineering, Tottori Univeristy, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090997632"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.7036,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77074093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"103","issue":null,"first_page":"581","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9973000288009644,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7046394348144531},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6795156598091125},{"id":"https://openalex.org/keywords/nurse-scheduling-problem","display_name":"Nurse scheduling problem","score":0.6387296319007874},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6282216310501099},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6126353740692139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854240655899048},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5745581984519958},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.546786367893219},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45389673113822937},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4287334084510803},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41451019048690796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23156672716140747},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.14253348112106323}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7046394348144531},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6795156598091125},{"id":"https://openalex.org/C102370290","wikidata":"https://www.wikidata.org/wiki/Q7070210","display_name":"Nurse scheduling problem","level":5,"score":0.6387296319007874},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6282216310501099},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6126353740692139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854240655899048},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5745581984519958},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.546786367893219},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45389673113822937},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4287334084510803},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41451019048690796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23156672716140747},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.14253348112106323},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit49905.2020.9263847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W48484421","https://openalex.org/W159809249","https://openalex.org/W1504943474","https://openalex.org/W1572910922","https://openalex.org/W1585939719","https://openalex.org/W1773444504","https://openalex.org/W1982736754","https://openalex.org/W2008026888","https://openalex.org/W2016721869","https://openalex.org/W2067506536","https://openalex.org/W2070962221","https://openalex.org/W2113400725","https://openalex.org/W2469400081","https://openalex.org/W2542143233","https://openalex.org/W2887503304","https://openalex.org/W2956222396","https://openalex.org/W6601936420","https://openalex.org/W6606498628","https://openalex.org/W6635097213"],"related_works":["https://openalex.org/W2384634404","https://openalex.org/W1997381757","https://openalex.org/W2354615332","https://openalex.org/W3094456605","https://openalex.org/W2145877535","https://openalex.org/W3151104768","https://openalex.org/W3127946984","https://openalex.org/W4287635425","https://openalex.org/W2029959045","https://openalex.org/W2111219748"],"abstract_inverted_index":{"This":[0],"paper":[1,211],"describes":[2],"an":[3,20,86,133],"application":[4],"of":[5,9,45,119,137,217],"NSGA-II":[6,108],"as":[7,107,123],"one":[8,118,216],"Multi-Objective":[10],"Evolutionary":[11],"Algorithms":[12],"(MOEAs)":[13],"to":[14,149,151,162,200,213,219],"a":[15,62,95],"Many-Objective":[16,96],"Nurse":[17],"Scheduling":[18],"in":[19,23,48,51,66,78,82,185],"actual":[21,33],"hospitals":[22],"Japan":[24],"and":[25,54,100,114,203,232],"its":[26,234],"effectiveness.":[27,235],"Although":[28,112],"many":[29,73,90,135],"techniques":[30,161],"for":[31,60,126,130,183],"the":[32,43,52,79,163,169,220,230],"nurse":[34,63,69,222],"scheduling":[35,70,223],"have":[36,197],"been":[37,175,198,207],"poposed,":[38],"they":[39,56,144],"are":[40,57,109,117,121,145,157,180],"based":[41],"on":[42],"culture":[44],"work":[46,64],"styles":[47],"Europe":[49],"or":[50,140,165,227],"US,":[53],"then":[55],"not":[58,110,146,181],"fitted":[59],"creating":[61],"schedule":[65],"Japan.":[67],"The":[68,155],"problem":[71,80,88,224],"has":[72,174,206],"objectives,":[74,231],"twelve":[75],"objectives":[76,91],"specially":[77],"shown":[81],"this":[83,210],"paper.":[84],"Such":[85],"optimization":[87],"having":[89],"is":[92,102,192],"generally":[93],"called":[94],"Optimization":[97],"Problem":[98],"(MaOP),":[99],"it":[101,173],"considered":[103],"that":[104,178,195],"MOEAs":[105,179,196],"such":[106],"effective.":[111],"MOEA/D":[113],"NSGA-III,":[115],"which":[116],"MaOEA,":[120],"known":[122],"effective":[124],"algorithms":[125],"MaOPs,":[127],"these":[128],"algorithms,":[129],"example,":[131],"require":[132],"so":[134],"number":[136],"scalarization":[138],"vectors":[139,164],"appropriate":[141],"reference":[142,166],"set,":[143],"always":[147],"easy":[148],"apply":[150,214],"real":[152],"world":[153],"problems.":[154],"MaOEAs":[156],"also":[158],"very":[159],"sensitive":[160],"set.":[167],"On":[168],"other":[170],"hand,":[171],"although":[172],"pointed":[176],"out":[177],"suitable":[182],"MaOP":[184],"verification":[186],"reports":[187],"with":[188],"several":[189],"benchmarks,":[190],"there":[191],"no":[193],"fact":[194],"applied":[199],"real-world":[201],"MaOPs":[202],"their":[204],"effectiveness":[205],"denied.":[208],"Therefore,":[209],"tries":[212],"NSGA-II,":[215],"MOEAs,":[218],"practical":[221],"without":[225],"omitting":[226],"reducing":[228],"all":[229],"verify":[233]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}