{"id":"https://openalex.org/W2937050778","doi":"https://doi.org/10.1080/03610918.2019.1593452","title":"A robust simulation optimization algorithm using kriging and particle swarm optimization: Application to surgery room optimization","display_name":"A robust simulation optimization algorithm using kriging and particle swarm optimization: Application to surgery room optimization","publication_year":2019,"publication_date":"2019-04-15","ids":{"openalex":"https://openalex.org/W2937050778","doi":"https://doi.org/10.1080/03610918.2019.1593452","mag":"2937050778"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1593452","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1593452","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-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/A5033594096","display_name":"Mohammad Javad Azizi","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Javad Azizi","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016596664","display_name":"Farshad Seifi","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farshad Seifi","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036919235","display_name":"Samira Moghadam","orcid":"https://orcid.org/0000-0003-1952-2645"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samira Moghadam","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033594096"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":1.3864,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82647068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"50","issue":"7","first_page":"2025","last_page":"2041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9983000159263611,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9983000159263611,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9968000054359436,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.7791790962219238},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7142702341079712},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6562973856925964},{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.6448277235031128},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6278253197669983},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.6212362051010132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800777077674866},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5364153385162354},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.5363437533378601},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.48818546533584595},{"id":"https://openalex.org/keywords/metamodeling","display_name":"Metamodeling","score":0.48141929507255554},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46624937653541565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44148510694503784},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.4323456287384033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23947802186012268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14657673239707947}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.7791790962219238},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7142702341079712},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6562973856925964},{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.6448277235031128},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6278253197669983},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.6212362051010132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800777077674866},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5364153385162354},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.5363437533378601},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.48818546533584595},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.48141929507255554},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46624937653541565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44148510694503784},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.4323456287384033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23947802186012268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14657673239707947},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1593452","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1593452","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W104866352","https://openalex.org/W144724904","https://openalex.org/W600148761","https://openalex.org/W1479802788","https://openalex.org/W1584134355","https://openalex.org/W1894141034","https://openalex.org/W1907706552","https://openalex.org/W1969426999","https://openalex.org/W1974363372","https://openalex.org/W1974533558","https://openalex.org/W1980075112","https://openalex.org/W1985162440","https://openalex.org/W2000736122","https://openalex.org/W2000836282","https://openalex.org/W2002358177","https://openalex.org/W2002681622","https://openalex.org/W2004658276","https://openalex.org/W2014546097","https://openalex.org/W2018044188","https://openalex.org/W2029130744","https://openalex.org/W2038125062","https://openalex.org/W2047538829","https://openalex.org/W2050063927","https://openalex.org/W2052919414","https://openalex.org/W2055063123","https://openalex.org/W2060165368","https://openalex.org/W2100452229","https://openalex.org/W2118578357","https://openalex.org/W2126047415","https://openalex.org/W2132244156","https://openalex.org/W2151794096","https://openalex.org/W2157418816","https://openalex.org/W2163286960","https://openalex.org/W2278860321","https://openalex.org/W2519843703","https://openalex.org/W2599714960","https://openalex.org/W2788592247","https://openalex.org/W2904805099","https://openalex.org/W3081274109","https://openalex.org/W3121510694","https://openalex.org/W3122455945","https://openalex.org/W3123026557","https://openalex.org/W3141561672","https://openalex.org/W3151571405","https://openalex.org/W3202531429","https://openalex.org/W4229651205","https://openalex.org/W4236852734","https://openalex.org/W4253147876"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2365047340","https://openalex.org/W2133565636","https://openalex.org/W2378423769","https://openalex.org/W2063870188","https://openalex.org/W2391889613","https://openalex.org/W2186293978","https://openalex.org/W2885739335","https://openalex.org/W2069901459"],"abstract_inverted_index":{"Simulation":[0],"optimization":[1,27,76,103,153],"is":[2,33,61,105,130,147],"an":[3],"endeavor":[4],"to":[5,29,57,116,149],"determine":[6],"the":[7,15,37,48,51,80,95,110,113,124,127,150],"best":[8,16],"combination":[9],"of":[10,44,50,109,112,126,134],"inputs":[11],"that":[12,60,78],"result":[13],"in":[14,36,65,107,142],"system":[17],"performance":[18,125],"criterion":[19],"without":[20],"evaluating":[21],"all":[22],"possible":[23],"combinations.":[24],"Since":[25],"simulation":[26,75,136],"applies":[28],"many":[30],"problems,":[31],"it":[32,146],"extensively":[34],"studied":[35],"literature":[38],"with":[39,89,139],"different":[40],"methods.":[41],"However,":[42],"most":[43],"these":[45],"methods":[46,141],"ignore":[47],"uncertainty":[49,111],"systems\u2019":[52],"parameters,":[53],"which":[54],"may":[55],"lead":[56],"a":[58,73,90,119,156],"solution":[59],"not":[62],"robustly":[63],"optimal":[64,121],"reality.":[66],"Motivated":[67],"by":[68],"this":[69,143],"uncertainty,":[70],"we":[71],"propose":[72],"robust":[74,120],"algorithm":[77,104,129],"follows":[79],"well-known":[81],"Taguchi":[82],"standpoint":[83],"but":[84],"replaces":[85],"its":[86],"statistical":[87],"technique":[88],"minimax":[91],"method":[92],"based":[93],"on":[94],"kriging":[96],"(Gaussian":[97],"process)":[98],"metamodel.":[99],"The":[100],"particle":[101],"swarm":[102],"applied":[106,148],"consideration":[108],"problem":[114,154],"parameters":[115],"solve":[117],"for":[118],"answer.":[122],"Finally,":[123],"proposed":[128],"highlighted":[131],"through":[132],"examples":[133],"numerical":[135],"and":[137,145],"comparisons":[138],"other":[140],"area,":[144],"surgery":[151],"room":[152],"as":[155],"case":[157],"study.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}