{"id":"https://openalex.org/W4281704541","doi":"https://doi.org/10.1080/00207543.2022.2079438","title":"A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem","display_name":"A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4281704541","doi":"https://doi.org/10.1080/00207543.2022.2079438"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2022.2079438","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2079438","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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":"International Journal of Production Research","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/A5072982157","display_name":"Fehmi Bur\u00e7in \u00d6zsoydan","orcid":"https://orcid.org/0000-0002-6368-4425"},"institutions":[{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Fehmi Burcin Ozsoydan","raw_affiliation_strings":["Faculty of Engineering, Department of Industrial Engineering, Dokuz Eyl\u00fcl University, \u0130zmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Department of Industrial Engineering, Dokuz Eyl\u00fcl University, \u0130zmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012521358","display_name":"\u0130lker G\u00f6lc\u00fck","orcid":"https://orcid.org/0000-0002-8430-7952"},"institutions":[{"id":"https://openalex.org/I4387152504","display_name":"Bak\u0131r\u00e7ay \u00dcniversitesi","ror":"https://ror.org/017v96566","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152504"]},{"id":"https://openalex.org/I132257509","display_name":"Izmir University","ror":"https://ror.org/013h3xr51","country_code":"TR","type":"education","lineage":["https://openalex.org/I132257509"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130lker G\u00f6lc\u00fck","raw_affiliation_strings":["Faculty of Engineering and Architecture, Department of Industrial Engineering, \u0130zmir Bak\u0131r\u00e7ay University, \u0130zmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Architecture, Department of Industrial Engineering, \u0130zmir Bak\u0131r\u00e7ay University, \u0130zmir, Turkey","institution_ids":["https://openalex.org/I132257509","https://openalex.org/I4387152504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072982157"],"corresponding_institution_ids":["https://openalex.org/I193615760"],"apc_list":null,"apc_paid":null,"fwci":1.4711,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82905427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"61","issue":"10","first_page":"3331","last_page":"3349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.998199999332428,"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/T12546","display_name":"Smart Parking Systems Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/solver","display_name":"Solver","score":0.7387266755104065},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6840363144874573},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.6580694913864136},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.6120162010192871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5899286270141602},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5507742166519165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5218326449394226},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5205591320991516},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5194151401519775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30157333612442017}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7387266755104065},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6840363144874573},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.6580694913864136},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.6120162010192871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5899286270141602},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5507742166519165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5218326449394226},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5205591320991516},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5194151401519775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30157333612442017},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2022.2079438","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2079438","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:10:p:3331-3349","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2022.2079438","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1969142790","https://openalex.org/W1979004882","https://openalex.org/W1979046925","https://openalex.org/W1982373167","https://openalex.org/W1985089902","https://openalex.org/W1985951797","https://openalex.org/W2003633968","https://openalex.org/W2007140719","https://openalex.org/W2010520994","https://openalex.org/W2017019823","https://openalex.org/W2017330843","https://openalex.org/W2028549267","https://openalex.org/W2030295525","https://openalex.org/W2042959366","https://openalex.org/W2047270429","https://openalex.org/W2047747388","https://openalex.org/W2061438946","https://openalex.org/W2063834841","https://openalex.org/W2074048915","https://openalex.org/W2077713618","https://openalex.org/W2080564020","https://openalex.org/W2080902665","https://openalex.org/W2089826394","https://openalex.org/W2096166399","https://openalex.org/W2098606461","https://openalex.org/W2109364787","https://openalex.org/W2134618090","https://openalex.org/W2149913958","https://openalex.org/W2152195021","https://openalex.org/W2167430432","https://openalex.org/W2301790113","https://openalex.org/W2524134837","https://openalex.org/W2593080689","https://openalex.org/W2882037495","https://openalex.org/W2883319574","https://openalex.org/W2885435316","https://openalex.org/W2955808224","https://openalex.org/W2959336659","https://openalex.org/W2966560442","https://openalex.org/W3003465801","https://openalex.org/W3005006032","https://openalex.org/W3012952332","https://openalex.org/W3137872100","https://openalex.org/W3176173648","https://openalex.org/W3185318347","https://openalex.org/W3186048612","https://openalex.org/W4206759142","https://openalex.org/W4210814276","https://openalex.org/W7038357285"],"related_works":["https://openalex.org/W2186864281","https://openalex.org/W3029224032","https://openalex.org/W4255427455","https://openalex.org/W2003719999","https://openalex.org/W2293751504","https://openalex.org/W2599747538","https://openalex.org/W1966025497","https://openalex.org/W2384678794","https://openalex.org/W2965631259","https://openalex.org/W4387578030"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,7,12,25,67,114,138],"cooperative":[4],"approach":[5],"of":[6,27,47,72,107],"swarm":[8,74],"intelligence":[9,75],"algorithm":[10,91,134],"and":[11,51],"linear":[13,144],"programming":[14],"solver":[15,139],"to":[16,30,38,84,112,120,137,140,168],"solve":[17],"the":[18,33,40,45,73,89,108,121,127,132,142,151,156,165,169,173],"capacitated":[19],"facility":[20,48],"location":[21],"problem":[22],"(CFLP).":[23],"Given":[24],"set":[26],"potential":[28],"locations":[29],"open":[31],"facilities,":[32],"aim":[34,106],"in":[35,150,180],"CFLP":[36,59],"is":[37,44,111,176],"find":[39],"minimum":[41],"cost,":[42],"which":[43],"sum":[46],"opening":[49],"costs":[50],"transportation":[52],"costs.":[53],"The":[54,63,105],"developed":[55],"solution":[56],"strategy":[57,175],"decomposes":[58],"into":[60],"two":[61],"sub-problems.":[62],"former":[64],"sub-problem":[65,110],"has":[66],"binary":[68,87,129],"domain.":[69],"Although":[70],"most":[71],"algorithms":[76],"employ":[77],"additional":[78],"procedures":[79],"such":[80,96],"as":[81,178],"sigmoid":[82],"function":[83],"deal":[85],"with":[86,164],"domains,":[88],"proposed":[90,133,157,174],"does":[92],"not":[93],"require":[94],"for":[95],"methods.":[97],"An":[98],"adaptive":[99],"mutation":[100],"operator":[101],"enhances":[102],"this":[103,125],"algorithm.":[104],"latter":[109],"generate":[113],"policy":[115],"that":[116],"optimally":[117],"assigns":[118],"customers":[119],"opened":[122],"facilities.":[123],"In":[124],"regard,":[126],"generated":[128,143],"vectors":[130],"by":[131,155],"are":[135,153],"passed":[136],"optimise":[141],"model.":[145],"Commonly":[146],"used":[147],"instances":[148],"available":[149],"literature":[152],"solved":[154],"strategy.":[158],"Comprehensive":[159],"experimental":[160],"study":[161],"includes":[162],"comparisons":[163],"sate-of-the-art.":[166],"According":[167],"statistically":[170],"verified":[171],"results,":[172],"found":[177],"promising":[179],"solving":[181],"CFLP.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
