{"id":"https://openalex.org/W4410005459","doi":"https://doi.org/10.3390/a18050260","title":"Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems","display_name":"Advanced Sales Route Optimization Through Enhanced Genetic Algorithms and Real-Time Navigation Systems","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W4410005459","doi":"https://doi.org/10.3390/a18050260"},"language":"en","primary_location":{"id":"doi:10.3390/a18050260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18050260","pdf_url":"https://www.mdpi.com/1999-4893/18/5/260/pdf?version=1746080021","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/18/5/260/pdf?version=1746080021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082610783","display_name":"Wilmer Clemente Cunuhay Cuchipe","orcid":"https://orcid.org/0000-0002-3927-5146"},"institutions":[{"id":"https://openalex.org/I4210087226","display_name":"Universidad T\u00e9cnica de Cotopaxi","ror":"https://ror.org/004jbx603","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210087226"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Wilmer Clemente Cunuhay Cuchipe","raw_affiliation_strings":["Faculty of Engineering and Applied Sciences, Technical University of Cotopaxi, La Man\u00e1 Extension, La Man\u00e1 050201, Ecuador"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Applied Sciences, Technical University of Cotopaxi, La Man\u00e1 Extension, La Man\u00e1 050201, Ecuador","institution_ids":["https://openalex.org/I4210087226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089261423","display_name":"Johnny Xavier Baja\u00f1a Zaj\u00eda","orcid":"https://orcid.org/0000-0003-2983-2508"},"institutions":[{"id":"https://openalex.org/I4210087226","display_name":"Universidad T\u00e9cnica de Cotopaxi","ror":"https://ror.org/004jbx603","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210087226"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Johnny Baja\u00f1a Zajia","raw_affiliation_strings":["Faculty of Engineering and Applied Sciences, Technical University of Cotopaxi, La Man\u00e1 Extension, La Man\u00e1 050201, Ecuador"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Applied Sciences, Technical University of Cotopaxi, La Man\u00e1 Extension, La Man\u00e1 050201, Ecuador","institution_ids":["https://openalex.org/I4210087226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039381514","display_name":"Byron Oviedo","orcid":"https://orcid.org/0000-0002-5366-5917"},"institutions":[{"id":"https://openalex.org/I92560967","display_name":"Universidad T\u00e9cnica Estatal de Quevedo","ror":"https://ror.org/05qrwjj27","country_code":"EC","type":"education","lineage":["https://openalex.org/I92560967"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Byron Oviedo","raw_affiliation_strings":["Faculty of Graduate Programs, State Technical University of Quevedo, Quevedo 120503, Ecuador"],"affiliations":[{"raw_affiliation_string":"Faculty of Graduate Programs, State Technical University of Quevedo, Quevedo 120503, Ecuador","institution_ids":["https://openalex.org/I92560967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079009165","display_name":"Cristian Zambrano\u2010Vega","orcid":"https://orcid.org/0000-0001-8568-8024"},"institutions":[{"id":"https://openalex.org/I92560967","display_name":"Universidad T\u00e9cnica Estatal de Quevedo","ror":"https://ror.org/05qrwjj27","country_code":"EC","type":"education","lineage":["https://openalex.org/I92560967"]}],"countries":["EC"],"is_corresponding":true,"raw_author_name":"Cristian Zambrano-Vega","raw_affiliation_strings":["Faculty of Engineering Sciences, State Technical University of Quevedo, Quevedo 120503, Ecuador"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Sciences, State Technical University of Quevedo, Quevedo 120503, Ecuador","institution_ids":["https://openalex.org/I92560967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079009165"],"corresponding_institution_ids":["https://openalex.org/I92560967"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.655,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89486211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"5","first_page":"260","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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":0.9991999864578247,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380676627159119},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5717931985855103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46114593744277954},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4556953012943268},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41960614919662476},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28234535455703735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16354668140411377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12444275617599487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380676627159119},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5717931985855103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46114593744277954},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4556953012943268},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41960614919662476},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28234535455703735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16354668140411377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12444275617599487}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a18050260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18050260","pdf_url":"https://www.mdpi.com/1999-4893/18/5/260/pdf?version=1746080021","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fddc0e96367d4c68af5d0f56f7274869","is_oa":true,"landing_page_url":"https://doaj.org/article/fddc0e96367d4c68af5d0f56f7274869","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 18, Iss 5, p 260 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18050260","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18050260","pdf_url":"https://www.mdpi.com/1999-4893/18/5/260/pdf?version=1746080021","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410005459.pdf","grobid_xml":"https://content.openalex.org/works/W4410005459.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2029681015","https://openalex.org/W2154929945","https://openalex.org/W2164866963","https://openalex.org/W2913393912","https://openalex.org/W4246598646","https://openalex.org/W4405347795","https://openalex.org/W4405951939","https://openalex.org/W4406627493","https://openalex.org/W4407109424","https://openalex.org/W4407926351","https://openalex.org/W6875684752","https://openalex.org/W6877406297"],"related_works":["https://openalex.org/W4366549320","https://openalex.org/W4287863136","https://openalex.org/W3006015132","https://openalex.org/W2965078190","https://openalex.org/W4408464351","https://openalex.org/W2140656843","https://openalex.org/W3040644038","https://openalex.org/W4311207076","https://openalex.org/W3203633096","https://openalex.org/W2355226480"],"abstract_inverted_index":{"Efficient":[0],"sales":[1,145],"route":[2,48],"optimization":[3,123],"is":[4,116,137],"a":[5,25,128,149],"critical":[6],"challenge":[7],"in":[8,100],"logistics":[9],"and":[10,19,37,66,92,144,151,160],"distribution,":[11],"especially":[12],"under":[13],"real-world":[14,77],"conditions":[15],"involving":[16],"traffic":[17,69],"variability":[18],"dynamic":[20],"constraints.":[21],"This":[22],"study":[23],"proposes":[24],"novel":[26],"Hybrid":[27],"Genetic":[28],"Algorithm":[29],"(GAAM-TS)":[30],"that":[31,85],"integrates":[32],"Adaptive":[33],"Mutation,":[34],"Tabu":[35],"Search,":[36],"an":[38],"LSTM-based":[39],"travel":[40,101],"time":[41],"prediction":[42],"model":[43],"to":[44,97,139],"enable":[45],"real-time,":[46],"intelligent":[47],"planning.":[49],"The":[50,134],"approach":[51],"addresses":[52],"the":[53,80],"limitations":[54],"of":[55],"traditional":[56],"genetic":[57],"algorithms":[58],"by":[59],"enhancing":[60],"solution":[61],"quality,":[62],"maintaining":[63,104],"population":[64],"diversity,":[65],"incorporating":[67],"data-driven":[68],"estimations":[70],"via":[71],"deep":[72],"learning.":[73],"Experimental":[74],"results":[75],"on":[76],"data":[78],"from":[79],"NYC":[81],"Taxi":[82],"dataset":[83],"show":[84],"GAAM-TS":[86,110],"significantly":[87],"outperforms":[88],"both":[89],"Standard":[90],"GA":[91],"GA-AM":[93,126],"variants,":[94],"achieving":[95],"up":[96],"20%":[98],"improvement":[99],"efficiency":[102],"while":[103],"robustness":[105],"across":[106],"problem":[107],"sizes.":[108],"Although":[109],"incurs":[111],"higher":[112],"computational":[113],"costs,":[114],"it":[115],"best":[117],"suited":[118],"for":[119,131,163],"offline":[120],"or":[121],"batch":[122],"scenarios,":[124],"whereas":[125],"provides":[127],"balanced":[129],"alternative":[130],"near-real-time":[132],"applications.":[133],"proposed":[135],"methodology":[136],"applicable":[138],"last-mile":[140],"delivery,":[141],"fleet":[142],"routing,":[143],"territory":[146],"management,":[147],"offering":[148],"scalable":[150],"adaptive":[152],"solution.":[153],"Future":[154],"work":[155],"will":[156],"explore":[157],"parallelization":[158],"strategies":[159],"multi-objective":[161],"extensions":[162],"sustainability-aware":[164],"routing.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}