{"id":"https://openalex.org/W4407901485","doi":"https://doi.org/10.1177/14727978251323125","title":"Optimization of urban terminal delivery routes using fuzzy genetic algorithm and its practical application","display_name":"Optimization of urban terminal delivery routes using fuzzy genetic algorithm and its practical application","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4407901485","doi":"https://doi.org/10.1177/14727978251323125"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251323125","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251323125","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251323125","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251323125","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105987349","display_name":"W. Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162404","display_name":"China Railway Construction Machinery Research & Design Institute","ror":"https://ror.org/05qw55b97","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210162404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiguang Tang","raw_affiliation_strings":["School of Railway Transportation Management and Logistics, Wuhan Railway Vocational College of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Railway Transportation Management and Logistics, Wuhan Railway Vocational College of Technology, Wuhan, China","institution_ids":["https://openalex.org/I4210162404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5105987349"],"corresponding_institution_ids":["https://openalex.org/I4210162404"],"apc_list":null,"apc_paid":null,"fwci":3.9812,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92369636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"25","issue":"4","first_page":"3453","last_page":"3464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9965999722480774,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9930999875068665,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9850999712944031,"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/terminal","display_name":"Terminal (telecommunication)","score":0.7430578470230103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.66959148645401},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.575551450252533},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5563852190971375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3966860771179199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2088293731212616},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18268024921417236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13985005021095276}],"concepts":[{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.7430578470230103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66959148645401},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.575551450252533},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5563852190971375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3966860771179199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2088293731212616},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18268024921417236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13985005021095276}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251323125","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251323125","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251323125","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1177/14727978251323125","is_oa":true,"landing_page_url":"https://doi.org/10.1177/14727978251323125","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/14727978251323125","source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407901485.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2971325636","https://openalex.org/W2995060084","https://openalex.org/W3015958418","https://openalex.org/W3026764877","https://openalex.org/W3037358073","https://openalex.org/W3044788958","https://openalex.org/W3082468938","https://openalex.org/W3102928813","https://openalex.org/W3108345723","https://openalex.org/W3113238662","https://openalex.org/W3131397694","https://openalex.org/W3196156582","https://openalex.org/W3196348420","https://openalex.org/W3200455703","https://openalex.org/W3201955064","https://openalex.org/W3205397045","https://openalex.org/W3215546779","https://openalex.org/W3216141649","https://openalex.org/W4200420783","https://openalex.org/W4200436788","https://openalex.org/W4207023241","https://openalex.org/W4293255296","https://openalex.org/W4293585630","https://openalex.org/W4296400928","https://openalex.org/W4306291686","https://openalex.org/W4310345666","https://openalex.org/W4327953434","https://openalex.org/W4381053565","https://openalex.org/W4391928662"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W3211557223","https://openalex.org/W1528816634","https://openalex.org/W2007036916","https://openalex.org/W4206528302","https://openalex.org/W872563264","https://openalex.org/W2164087676"],"abstract_inverted_index":{"As":[0],"urban":[1,137,163,179,205],"populations":[2],"grow":[3],"and":[4,65,90,114,161,170,211],"delivery":[5,57,86,108,112,139,206],"demands":[6],"surge,":[7],"the":[8,56,70,77,106,130,134,146,194],"computational":[9,147],"complexity":[10],"of":[11,74,100,133,149,167],"route":[12],"optimization":[13,72],"problems":[14],"escalates":[15],"significantly.":[16],"Traditional":[17],"algorithms":[18,172],"often":[19],"struggle":[20],"with":[21],"low":[22],"efficiency,":[23],"making":[24],"it":[25],"challenging":[26],"to":[27,51,93],"achieve":[28],"satisfactory":[29],"solutions":[30],"within":[31],"a":[32,42,155,174,200],"reasonable":[33],"timeframe.":[34],"To":[35],"address":[36],"these":[37],"limitations,":[38],"this":[39,101],"paper":[40],"introduces":[41],"fuzzy":[43,49,168,195],"genetic":[44,75,171,196],"algorithm":[45,197],"(FGA)":[46],"that":[47],"integrates":[48],"logic":[50,169],"model":[52],"uncertainties":[53],"inherent":[54],"in":[55],"process,":[58],"such":[59,84],"as":[60,85,199],"traffic":[61],"congestion,":[62],"weather":[63],"disruptions,":[64],"demand":[66],"fluctuations.":[67],"By":[68],"leveraging":[69],"multi-objective":[71],"capabilities":[73],"algorithms,":[76],"proposed":[78],"FGA":[79,135],"comprehensively":[80],"considers":[81],"key":[82],"factors":[83],"time,":[87],"transportation":[88,115],"costs,":[89],"customer":[91,119],"satisfaction":[92,120],"generate":[94],"optimal":[95],"routes.":[96],"The":[97,165],"practical":[98],"application":[99],"approach":[102],"demonstrates":[103],"its":[104],"effectiveness:":[105],"optimized":[107],"routes":[109],"significantly":[110],"reduce":[111],"times":[113],"costs":[116],"while":[117],"enhancing":[118],"levels.":[121],"Statistical":[122],"analysis":[123],"reveals":[124],"p":[125],"-values":[126],"below":[127],"0.05,":[128],"confirming":[129],"significant":[131],"impact":[132],"on":[136],"terminal":[138],"optimization.":[140],"This":[141],"research":[142],"not":[143],"only":[144],"addresses":[145],"inefficiencies":[148],"traditional":[150],"methods":[151],"but":[152],"also":[153],"provides":[154],"robust":[156],"framework":[157],"for":[158,203],"handling":[159],"dynamic":[160],"uncertain":[162],"environments.":[164],"integration":[166],"represents":[173],"pioneering":[175],"step":[176],"toward":[177],"sustainable":[178],"logistics,":[180],"offering":[181],"both":[182],"economic":[183],"value\u2014through":[184],"cost":[185],"savings\u2014and":[186],"social":[187],"benefits\u2014via":[188],"improved":[189],"service":[190],"quality.":[191],"In":[192],"summary,":[193],"emerges":[198],"powerful":[201],"tool":[202],"modern":[204],"systems,":[207],"enabling":[208],"smarter":[209],"decision-making":[210],"fostering":[212],"greener,":[213],"more":[214],"efficient":[215],"cities.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-02-15T05:58:04.055770","created_date":"2025-10-10T00:00:00"}
