{"id":"https://openalex.org/W4394948692","doi":"https://doi.org/10.1007/s00521-024-09684-0","title":"Evolution inspired binary flower pollination for the uncapacitated facility location problem","display_name":"Evolution inspired binary flower pollination for the uncapacitated facility location problem","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4394948692","doi":"https://doi.org/10.1007/s00521-024-09684-0"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-024-09684-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-09684-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-09684-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-09684-0.pdf","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":["Industrial Engineering Department, Faculty of Engineering, Dokuz Eyl\u00fcl University, \u0130zmir, T\u00fcrkiye"],"raw_orcid":"https://orcid.org/0000-0002-6368-4425","affiliations":[{"raw_affiliation_string":"Industrial Engineering Department, Faculty of Engineering, Dokuz Eyl\u00fcl University, \u0130zmir, T\u00fcrkiye","institution_ids":["https://openalex.org/I193615760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095777636","display_name":"Ali Erel Kas\u0131rga","orcid":null},"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":false,"raw_author_name":"Ali Erel Kas\u0131rga","raw_affiliation_strings":["Graduate School of Natural and Applied Sciences, Dokuz Eyl\u00fcl University, \u0130zmir, T\u00fcrkiye","Groupe Atlantic \u0130zmir, \u0130zmir, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Natural and Applied Sciences, Dokuz Eyl\u00fcl University, \u0130zmir, T\u00fcrkiye","institution_ids":["https://openalex.org/I193615760"]},{"raw_affiliation_string":"Groupe Atlantic \u0130zmir, \u0130zmir, T\u00fcrkiye","institution_ids":[]}]}],"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":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.8713,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73033037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"36","issue":"20","first_page":"12117","last_page":"12130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9930999875068665,"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/pollination","display_name":"Pollination","score":0.6503512263298035},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.5745882391929626},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5367459058761597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43980491161346436},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39556917548179626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3532944321632385},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.25399813055992126},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.12711769342422485},{"id":"https://openalex.org/keywords/pollen","display_name":"Pollen","score":0.09767907857894897},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06254047155380249}],"concepts":[{"id":"https://openalex.org/C168197293","wikidata":"https://www.wikidata.org/wiki/Q134624","display_name":"Pollination","level":3,"score":0.6503512263298035},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.5745882391929626},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5367459058761597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43980491161346436},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39556917548179626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3532944321632385},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.25399813055992126},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.12711769342422485},{"id":"https://openalex.org/C2780618852","wikidata":"https://www.wikidata.org/wiki/Q79932","display_name":"Pollen","level":2,"score":0.09767907857894897},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06254047155380249}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-024-09684-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-09684-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-09684-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-024-09684-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-09684-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-09684-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394948692.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W304154899","https://openalex.org/W1574301290","https://openalex.org/W1606402766","https://openalex.org/W1967339272","https://openalex.org/W1992428442","https://openalex.org/W2000974793","https://openalex.org/W2029631698","https://openalex.org/W2031874233","https://openalex.org/W2033151347","https://openalex.org/W2055545070","https://openalex.org/W2070882806","https://openalex.org/W2081029938","https://openalex.org/W2096166399","https://openalex.org/W2116415487","https://openalex.org/W2158318958","https://openalex.org/W2165012734","https://openalex.org/W2195412851","https://openalex.org/W2334731071","https://openalex.org/W2432164415","https://openalex.org/W2567240797","https://openalex.org/W2600169808","https://openalex.org/W2752590451","https://openalex.org/W2829538282","https://openalex.org/W2882037495","https://openalex.org/W2891752707","https://openalex.org/W2955808224","https://openalex.org/W2966560442","https://openalex.org/W3003465801","https://openalex.org/W3100933494","https://openalex.org/W3165391736","https://openalex.org/W4214867387","https://openalex.org/W4224295784","https://openalex.org/W4304128786","https://openalex.org/W4312702149","https://openalex.org/W4328129340","https://openalex.org/W4377080223","https://openalex.org/W4386278228","https://openalex.org/W4388866720","https://openalex.org/W4389517375","https://openalex.org/W4392236319"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2509748941","https://openalex.org/W2067320236"],"abstract_inverted_index":{"Abstract":[0],"The":[1,32],"present":[2,104],"paper":[3],"introduces":[4,138],"a":[5,45,72,167,238],"modified":[6],"flower":[7],"pollination":[8],"algorithm":[9,240],"(FPA)":[10],"enhanced":[11,129],"by":[12,119,130,184,216,222],"evolutionary":[13,110,190],"operators":[14,111],"to":[15,37,41,53,80,87,90,195,245],"solve":[16,81],"the":[17,27,55,60,100,103,120,124,150,172,188,217,223,232],"uncapacitated":[18],"facility":[19,63],"location":[20,29],"problem":[21],"(UFLP),":[22],"which":[23,58,77],"is":[24,36,59,71,78,85,127,176,193,235],"one":[25,98],"of":[26,48,62,99,102,133,141,152,187],"well-known":[28],"science":[30],"problems.":[31,249],"aim":[33],"in":[34,93,181,197],"UFLP":[35,70],"select":[38],"some":[39,109],"locations":[40,50],"open":[42],"facilities":[43],"among":[44],"certain":[46],"number":[47],"candidate":[49],"so":[51],"as":[52,113,179,207,237],"minimize":[54],"total":[56],"cost,":[57],"sum":[61],"opening":[64],"costs":[65],"and":[66,115,146,158],"transportation":[67],"costs.":[68],"Since":[69],"binary":[73,94,198,247],"optimization":[74,83,248],"problem,":[75],"FPA,":[76],"introduced":[79],"real-valued":[82],"problems,":[84],"redesigned":[86],"be":[88,243],"able":[89,194],"conduct":[91],"search":[92,170],"domains.":[95],"This":[96],"constitutes":[97],"contributions":[101],"study.":[105],"In":[106],"this":[107,182],"context,":[108],"such":[112,206],"crossover":[114],"mutation":[116,125],"are":[117,165,214],"adopted":[118],"proposed":[121,218],"FPA.":[122],"Next,":[123],"operator":[126],"further":[128],"making":[131,185],"use":[132,186],"an":[134],"adaptive":[135],"procedure":[136],"that":[137,227,241],"greater":[139],"level":[140],"diversity":[142],"at":[143,162],"earlier":[144,163],"iterations":[145,164],"encourages":[147],"intensification":[148],"toward":[149],"end":[151],"search.":[153],"Thus,":[154],"while":[155],"premature":[156],"convergence":[157],"local":[159],"optima":[160],"problems":[161],"avoided,":[166],"more":[168],"intensified":[169],"around":[171],"found":[173,236],"promising":[174,239],"regions":[175],"performed.":[177],"Secondarily,":[178],"demonstrated":[180,221],"study,":[183],"reported":[189],"procedures,":[191],"FPA":[192],"run":[196],"spaces":[199],"without":[200],"employing":[201],"any":[202],"additional":[203],"auxiliary":[204],"procedures":[205],"transfer":[208],"functions.":[209],"All":[210],"available":[211],"benchmarking":[212],"instances":[213],"solved":[215],"approach.":[219],"As":[220],"comprehensive":[224],"experimental":[225],"study":[226],"includes":[228],"statistically":[229],"verified":[230],"results,":[231],"developed":[233],"approach":[234],"can":[242],"extended":[244],"numerous":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}