{"id":"https://openalex.org/W1986740173","doi":"https://doi.org/10.1109/scis.2013.6613253","title":"Hybrid Harmony Search for Nurse Rostering Problems","display_name":"Hybrid Harmony Search for Nurse Rostering Problems","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1986740173","doi":"https://doi.org/10.1109/scis.2013.6613253","mag":"1986740173"},"language":"en","primary_location":{"id":"doi:10.1109/scis.2013.6613253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis.2013.6613253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched)","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/A5085661326","display_name":"Mohammed A. Awadallah","orcid":"https://orcid.org/0000-0002-7815-8946"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohammed A. Awadallah","raw_affiliation_strings":["School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091553108","display_name":"Ahamad Tajudin Khader","orcid":"https://orcid.org/0000-0002-7046-5327"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahamad Tajudin Khader","raw_affiliation_strings":["School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081678536","display_name":"Mohammed Azmi Al\u2010Betar","orcid":"https://orcid.org/0000-0003-1980-1791"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohammed Azmi Al-Betar","raw_affiliation_strings":["Universiti Sains Malaysia, Minden, Pulau Pinang, MY","Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Sains Malaysia, Minden, Pulau Pinang, MY","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074777889","display_name":"Asaju La\u2019aro Bolaji","orcid":"https://orcid.org/0000-0003-2777-552X"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Asaju La'aro Bolaji","raw_affiliation_strings":["School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Univ. Sains Malaysia USM, Minden, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139322472"],"apc_list":null,"apc_paid":null,"fwci":2.3845,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87582418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":1.0,"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":1.0,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9632999897003174,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6938450336456299},{"id":"https://openalex.org/keywords/harmony-search","display_name":"Harmony search","score":0.6856781840324402},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5187504291534424},{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.4622516334056854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45186689496040344},{"id":"https://openalex.org/keywords/improvisation","display_name":"Improvisation","score":0.4220816493034363},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42046040296554565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38369497656822205},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3735238313674927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1414942741394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938450336456299},{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.6856781840324402},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5187504291534424},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.4622516334056854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45186689496040344},{"id":"https://openalex.org/C125468537","wikidata":"https://www.wikidata.org/wiki/Q214961","display_name":"Improvisation","level":2,"score":0.4220816493034363},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42046040296554565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38369497656822205},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3735238313674927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1414942741394043},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis.2013.6613253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis.2013.6613253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W38451756","https://openalex.org/W75592099","https://openalex.org/W86994119","https://openalex.org/W1488601969","https://openalex.org/W1528144203","https://openalex.org/W1558361315","https://openalex.org/W1572910922","https://openalex.org/W1680972677","https://openalex.org/W1964637142","https://openalex.org/W1973555220","https://openalex.org/W1976004251","https://openalex.org/W1978831829","https://openalex.org/W1985334587","https://openalex.org/W1986756602","https://openalex.org/W1993885071","https://openalex.org/W1996814304","https://openalex.org/W2005679553","https://openalex.org/W2013459868","https://openalex.org/W2016721869","https://openalex.org/W2032283330","https://openalex.org/W2032512090","https://openalex.org/W2034662403","https://openalex.org/W2052808489","https://openalex.org/W2055186906","https://openalex.org/W2056302562","https://openalex.org/W2057865045","https://openalex.org/W2065601237","https://openalex.org/W2067703920","https://openalex.org/W2076454042","https://openalex.org/W2076715315","https://openalex.org/W2109176535","https://openalex.org/W2130343325","https://openalex.org/W2145883860","https://openalex.org/W2152195021","https://openalex.org/W2229816483","https://openalex.org/W2307258525","https://openalex.org/W6601566447","https://openalex.org/W6697944105"],"related_works":["https://openalex.org/W2790312733","https://openalex.org/W2608519803","https://openalex.org/W2925302285","https://openalex.org/W1983476762","https://openalex.org/W2382278601","https://openalex.org/W2128693673","https://openalex.org/W2372624488","https://openalex.org/W2336921605","https://openalex.org/W2104201818","https://openalex.org/W2140057631"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,54,65,132,143],"Hybrid":[4],"Harmony":[5,49],"Search":[6,50],"Algorithm":[7,51],"(HHSA)":[8],"is":[9,29,53,129,142,156],"presented":[10],"for":[11,81,146,201],"Nurse":[12,24],"Rostering":[13,25],"Problem":[14],"(NRP)":[15],"using":[16],"the":[17,21,60,70,107,122,160,169,188,194],"dataset":[18,133],"proposed":[19,127],"by":[20,31,92,135],"First":[22],"International":[23],"Competition":[26],"(INRC2010).":[27],"NRP":[28],"tackled":[30],"assigning":[32],"daily":[33],"shifts":[34],"to":[35,44,90,97,105,120,187],"nurses":[36],"with":[37,83,101,113,152],"different":[38],"skills":[39],"and":[40,46,110,167],"working":[41],"contracts,":[42],"subject":[43],"hard":[45,202],"soft":[47],"constraints.":[48],"(HSA)":[52],"recent":[55],"evolutionary":[56,198],"computing":[57,199],"technique,":[58],"mimicking":[59],"musical":[61,74],"improvisation":[62],"process":[63],"where":[64],"group":[66],"of":[67,72,116,124,176,181],"musicians":[68],"play":[69],"pitches":[71],"their":[73],"instruments.":[75],"Recently,":[76],"HSA":[77,89],"has":[78],"been":[79],"used":[80],"NRP,":[82],"promising":[84],"results.":[85],"This":[86],"paper":[87],"extends":[88],"HHSA":[91,128,158],"adding":[93],"two":[94],"powerful":[95,144],"concepts":[96],"HSA:":[98],"(i)":[99],"hybridization":[100,112],"hill":[102],"climbing":[103],"optimizer":[104],"improve":[106,121],"exploitation":[108],"ability,":[109],"(ii)":[111],"global-best":[114],"concept":[115],"particle":[117],"swarm":[118],"optimization":[119,204],"speed":[123],"convergence.":[125],"The":[126,137,179],"evaluated":[130],"against":[131],"provided":[134],"INRC2010.":[136],"results":[138,171],"show":[139],"that":[140],"it":[141],"technique":[145,200],"INRC2010":[147],"dataset.":[148],"A":[149],"comparative":[150],"analysis":[151],"five":[153],"competitive":[154,162],"methods":[155,163],"conducted.":[157],"outperforms":[159],"other":[161],"in":[164,172],"three":[165],"instances":[166],"obtained":[168],"best":[170],"29":[173],"others":[174],"out":[175],"69":[177],"instances.":[178],"efficiency":[180],"our":[182],"method":[183],"lends":[184],"further":[185],"support":[186],"previous":[189],"theory":[190],"based":[191],"on":[192],"hybridizing":[193],"local":[195],"search":[196],"within":[197],"combinatorial":[203],"problems.":[205]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}