{"id":"https://openalex.org/W2139503926","doi":"https://doi.org/10.1109/cec.2011.5949606","title":"Disservice representation using the Gini coefficient in semi-desirable facility location problems","display_name":"Disservice representation using the Gini coefficient in semi-desirable facility location problems","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2139503926","doi":"https://doi.org/10.1109/cec.2011.5949606","mag":"2139503926"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5022225508","display_name":"Haluk Yap\u0131c\u0131o\u011flu","orcid":"https://orcid.org/0000-0003-2296-4989"},"institutions":[{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]},{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Haluk Yapicioglu","raw_affiliation_strings":["Department of Industrial Engineering, Anadolu University, Eskisehir, Turkey","Department of Industrial Engineering, Anadolu University, Eskisehir, TURKEY, 26470"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Anadolu University, Eskisehir, Turkey","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]},{"raw_affiliation_string":"Department of Industrial Engineering, Anadolu University, Eskisehir, TURKEY, 26470","institution_ids":["https://openalex.org/I133743585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039757205","display_name":"Alice E. Smith","orcid":"https://orcid.org/0000-0001-8808-0663"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice E. Smith","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Aubum University, Auburn, AL, USA","Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Aubum University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022225508"],"corresponding_institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19752027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"110","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.994700014591217,"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":0.994700014591217,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9944999814033508,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gini-coefficient","display_name":"Gini coefficient","score":0.888454794883728},{"id":"https://openalex.org/keywords/lorenz-curve","display_name":"Lorenz curve","score":0.7455505132675171},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6247309446334839},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6027648448944092},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.5320514440536499},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4755163788795471},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44571638107299805},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.440543532371521},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4303526282310486},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4217146039009094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40663808584213257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3927711844444275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35413286089897156},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.12721696496009827},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07574203610420227},{"id":"https://openalex.org/keywords/economic-inequality","display_name":"Economic inequality","score":0.07121506333351135}],"concepts":[{"id":"https://openalex.org/C2779206190","wikidata":"https://www.wikidata.org/wiki/Q162455","display_name":"Gini coefficient","level":4,"score":0.888454794883728},{"id":"https://openalex.org/C99617461","wikidata":"https://www.wikidata.org/wiki/Q430378","display_name":"Lorenz curve","level":5,"score":0.7455505132675171},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6247309446334839},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6027648448944092},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.5320514440536499},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4755163788795471},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44571638107299805},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.440543532371521},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4303526282310486},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4217146039009094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40663808584213257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3927711844444275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35413286089897156},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.12721696496009827},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07574203610420227},{"id":"https://openalex.org/C513380476","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Economic inequality","level":3,"score":0.07121506333351135},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2011.5949606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1029.1879","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1029.1879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Haluk_Yapicioglu/publication/221007042_Disservice_representation_using_the_Gini_coefficient_in_semi-desirable_facility_location_problems/links/0046352cfe35a1e9b5000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W107299040","https://openalex.org/W1632356912","https://openalex.org/W1748556020","https://openalex.org/W1976184556","https://openalex.org/W1984386586","https://openalex.org/W2006896692","https://openalex.org/W2058449285","https://openalex.org/W2093819975","https://openalex.org/W2123808725","https://openalex.org/W2135646341","https://openalex.org/W2152195021","https://openalex.org/W2157601049","https://openalex.org/W2169245194","https://openalex.org/W2317739826","https://openalex.org/W2402846924","https://openalex.org/W6604396580","https://openalex.org/W6637864527","https://openalex.org/W6683477168","https://openalex.org/W6703967216"],"related_works":["https://openalex.org/W2184866710","https://openalex.org/W2792843647","https://openalex.org/W2355331590","https://openalex.org/W2381224631","https://openalex.org/W2385244442","https://openalex.org/W2898213959","https://openalex.org/W2972850664","https://openalex.org/W3102998086","https://openalex.org/W2392244248","https://openalex.org/W2370490059"],"abstract_inverted_index":{"We":[0,91],"consider":[1],"various":[2],"bi-objective":[3,94],"models":[4],"for":[5],"the":[6,15,19,33,37,40,44,55,60,71,75,79,83,102,105,109,112,116,136,142,145,152],"semi":[7,157],"desirable":[8,158],"facility":[9,20,84,159],"location":[10,114,154],"problem.":[11],"In":[12,28],"these":[13,49],"problems,":[14],"disservice":[16,38,80,110],"caused":[17,81],"by":[18,24,82,127,132],"is":[21,139],"traditionally":[22],"measured":[23],"distance-related":[25],"objective":[26,34,106],"functions.":[27],"this":[29],"paper,":[30],"we":[31],"modify":[32],"function":[35,107],"representing":[36,108],"using":[39],"Lorenz":[41],"curve":[42],"and":[43],"Gini":[45,72,137,146],"coefficient.":[46],"Both":[47],"of":[48,70,77,115,144,155],"concepts":[50],"are":[51,130],"widely":[52],"used":[53],"in":[54,62,104,151,160],"economics":[56],"literature":[57],"to":[58,99],"measure":[59],"discrepancy":[61],"wealth":[63],"distribution":[64],"within":[65],"a":[66,93,149,156],"population.":[67],"The":[68],"use":[69,92,143],"coefficient":[73,138,147],"enables":[74],"measurement":[76],"how":[78,101],"varies":[85],"across":[86],"different":[87],"Pareto":[88],"optimal":[89],"solutions.":[90],"particle":[95],"swarm":[96],"optimizer":[97],"(bi-PSO)":[98],"compare":[100],"change":[103,150],"affects":[111],"recommended":[113],"facility.":[117],"Results":[118],"suggest":[119],"that":[120],"some":[121,161],"solutions":[122,134],"identified":[123],"as":[124],"\"Pareto":[125],"optimal\"":[126],"traditional":[128],"formulations":[129],"dominated":[131],"other":[133],"when":[135],"used.":[140],"Additionally,":[141],"causes":[148],"\"optimal\"":[153],"instances.":[162]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}