{"id":"https://openalex.org/W2096868429","doi":"https://doi.org/10.1109/soli.2009.5203994","title":"A new hybrid variable-length GA and PSO algorithm in continuous facility location problem with capacity and service level constraints","display_name":"A new hybrid variable-length GA and PSO algorithm in continuous facility location problem with capacity and service level constraints","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2096868429","doi":"https://doi.org/10.1109/soli.2009.5203994","mag":"2096868429"},"language":"en","primary_location":{"id":"doi:10.1109/soli.2009.5203994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2009.5203994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics","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/A5113906136","display_name":"Minmin Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minmin Qiu","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Laboratory, Beijing, 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, 100193, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324287","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0002-8224-6412"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["School of Management, Tianjin University, TJU, Tianjin, China","School of Management, Tianjin University, 300072,China"],"affiliations":[{"raw_affiliation_string":"School of Management, Tianjin University, TJU, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Management, Tianjin University, 300072,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650188","display_name":"Hongwei Ding","orcid":"https://orcid.org/0000-0003-4097-7054"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Ding","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Laboratory, Beijing, 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, 100193, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069874950","display_name":"Jin Dong","orcid":"https://orcid.org/0000-0003-1131-6396"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Dong","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Laboratory, Beijing, 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, 100193, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391674","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-5873-2384"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["IBM China Research Laboratory, Beijing, China","IBM China Research Laboratory, Beijing, 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM China Research Laboratory, Beijing, 100193, China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113906136"],"corresponding_institution_ids":["https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":0.5056,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79404252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"546","last_page":"551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9997000098228455,"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":0.9997000098228455,"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":0.996999979019165,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.8080211877822876},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7561137676239014},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6340756416320801},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6319434642791748},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.6020757555961609},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.596376895904541},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5761488676071167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5507538914680481},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.5274750590324402},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.46884238719940186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4572046399116516},{"id":"https://openalex.org/keywords/location-model","display_name":"Location model","score":0.43964797258377075},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.43916216492652893},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.3641897439956665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2965225577354431},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.16636180877685547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13293439149856567}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8080211877822876},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7561137676239014},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6340756416320801},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6319434642791748},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.6020757555961609},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.596376895904541},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5761488676071167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5507538914680481},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.5274750590324402},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.46884238719940186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4572046399116516},{"id":"https://openalex.org/C2776608338","wikidata":"https://www.wikidata.org/wiki/Q6664803","display_name":"Location model","level":2,"score":0.43964797258377075},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.43916216492652893},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.3641897439956665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2965225577354431},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.16636180877685547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13293439149856567},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/soli.2009.5203994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2009.5203994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics","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":17,"referenced_works":["https://openalex.org/W86242020","https://openalex.org/W167806033","https://openalex.org/W1482186473","https://openalex.org/W1606791384","https://openalex.org/W2006062421","https://openalex.org/W2015754576","https://openalex.org/W2058023679","https://openalex.org/W2062999054","https://openalex.org/W2098693123","https://openalex.org/W2100983440","https://openalex.org/W2101012831","https://openalex.org/W2109364787","https://openalex.org/W2144307819","https://openalex.org/W2152195021","https://openalex.org/W2165788053","https://openalex.org/W2402846924","https://openalex.org/W6636219764"],"related_works":["https://openalex.org/W30690955","https://openalex.org/W2612803944","https://openalex.org/W2978804656","https://openalex.org/W3005929288","https://openalex.org/W2316216088","https://openalex.org/W1482186473","https://openalex.org/W3464401","https://openalex.org/W2565671157","https://openalex.org/W1604743927","https://openalex.org/W2468394495"],"abstract_inverted_index":{"This":[0,113],"paper":[1],"considers":[2],"a":[3,10],"continuous":[4],"capacitated":[5],"facility":[6],"location":[7,93],"problem":[8],"without":[9],"priori":[11],"knowledge":[12],"of":[13,17,64,94,109],"the":[14,27,50,55,58,62,91,105],"desired":[15],"number":[16,63],"facilities.":[18],"The":[19],"demand":[20],"locations":[21],"and":[22,40,69,72,123],"volume":[23],"are":[24,75],"known":[25],"to":[26,48,66,89,103],"decision":[28],"maker.":[29],"A":[30],"new":[31],"hybrid":[32],"evolutionary":[33],"algorithm":[34],"combining":[35],"variable-length":[36,53],"GA":[37],"(genetic":[38],"algorithm)":[39],"PSO":[41,78],"(particle":[42],"swarm":[43],"optimization)":[44],"together":[45],"is":[46,81,101],"proposed":[47],"solve":[49],"problem.":[51],"For":[52,77],"GA,":[54],"chromosome":[56],"in":[57,125],"population":[59,100],"varies":[60],"with":[61,83],"facilities":[65],"be":[67],"located,":[68],"special":[70],"crossover":[71],"mutation":[73],"operators":[74],"designed.":[76],"algorithm,":[79],"it":[80],"combined":[82],"ATL":[84],"(alternative":[85],"transporting":[86],"location)":[87],"method":[88],"attain":[90],"appropriate":[92],"each":[95],"facility.":[96],"Furthermore,":[97],"an":[98,119],"external":[99],"adopted":[102],"gather":[104],"inferior":[106],"solutions":[107],"instead":[108],"abandoning":[110],"them":[111],"simply.":[112],"work":[114],"has":[115],"been":[116],"developed":[117],"as":[118],"Eclipse":[120],"RCP":[121],"tool":[122],"applied":[124],"business":[126],"cases.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
