{"id":"https://openalex.org/W7125365206","doi":"https://doi.org/10.1016/j.array.2026.100683","title":"Intelligent selection algorithm of vision guided feeding path for AGV car transporting cigarette accessories","display_name":"Intelligent selection algorithm of vision guided feeding path for AGV car transporting cigarette accessories","publication_year":2026,"publication_date":"2026-01-22","ids":{"openalex":"https://openalex.org/W7125365206","doi":"https://doi.org/10.1016/j.array.2026.100683"},"language":"en","primary_location":{"id":"doi:10.1016/j.array.2026.100683","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100683","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.array.2026.100683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123625158","display_name":"Zhiyuan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]},{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Liang","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101240426","display_name":"Pengtao He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengtao He","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017928137","display_name":"Xiaofei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Huang","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121144730","display_name":"Xiaolei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Zhao","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101632066","display_name":"Bin Wei","orcid":"https://orcid.org/0000-0001-6853-8200"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wei","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025947091","display_name":"Weili Zeng","orcid":"https://orcid.org/0000-0002-5266-2423"},"institutions":[{"id":"https://openalex.org/I4210098640","display_name":"China Tobacco Guangxi Industrial (China)","ror":"https://ror.org/00fzs3g26","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098640"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Zeng","raw_affiliation_strings":["Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Liuzhou Cigarette Factory, China Tobacco Guangxi Industrial Co., Ltd., Liuzhou, 545005, Guangxi, China","institution_ids":["https://openalex.org/I4210098640","https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121144730"],"corresponding_institution_ids":["https://openalex.org/I18570673","https://openalex.org/I4210098640"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19902831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"100683","last_page":"100683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.8539000153541565,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.8539000153541565,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.03880000114440918,"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":0.00989999994635582,"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/path","display_name":"Path (computing)","score":0.7384999990463257},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5759999752044678},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5717999935150146},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4814000129699707},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.44909998774528503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4284999966621399},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.373199999332428}],"concepts":[{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.7384999990463257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985999703407288},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5759999752044678},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.44909998774528503},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43050000071525574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4300000071525574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.373199999332428},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C91370436","wikidata":"https://www.wikidata.org/wiki/Q5608616","display_name":"Grid method multiplication","level":3,"score":0.3621000051498413},{"id":"https://openalex.org/C156172958","wikidata":"https://www.wikidata.org/wiki/Q3438407","display_name":"Grid reference","level":4,"score":0.3346000015735626},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3303000032901764},{"id":"https://openalex.org/C158485040","wikidata":"https://www.wikidata.org/wiki/Q4778119","display_name":"Any-angle path planning","level":4,"score":0.29789999127388},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.29739999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2953000068664551},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2667999863624573},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.array.2026.100683","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100683","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:162ca4195f4541ac963f22a2eeece3f7","is_oa":true,"landing_page_url":"https://doaj.org/article/162ca4195f4541ac963f22a2eeece3f7","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":"Array, Vol 29, Iss , Pp 100683- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.array.2026.100683","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100683","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3041866381","https://openalex.org/W3081485516","https://openalex.org/W4200611753","https://openalex.org/W4220672823","https://openalex.org/W4220940694","https://openalex.org/W4224318604","https://openalex.org/W4283330346","https://openalex.org/W4387336613","https://openalex.org/W4391130952","https://openalex.org/W4393260978","https://openalex.org/W4400188111","https://openalex.org/W4404755185","https://openalex.org/W4416978522","https://openalex.org/W7083589544"],"related_works":[],"abstract_inverted_index":{"During":[0],"the":[1,71,94,109,128,141,147,157,165,177,183,214,219,228,234,240],"transportation":[2],"of":[3,74,164],"cigarette":[4,77,98,171,202],"accessories,":[5],"AGV":[6,85],"trolleys":[7],"often":[8,34],"encounter":[9],"challenges":[10],"such":[11,25],"as":[12,26,112,223],"complex":[13],"environments,":[14],"variable":[15],"paths,":[16],"and":[17,42,55,190,225],"dynamic":[18],"obstacles.":[19],"Traditional":[20],"path":[21,53,73,86,96,123,143,151,158,167,197,220],"planning":[22],"methods":[23],"-":[24,33],"laser":[27],"navigation":[28,32],"or":[29],"two-dimensional":[30],"code":[31],"exhibit":[35],"limitations":[36],"including":[37],"delayed":[38],"response,":[39],"poor":[40],"adaptability,":[41],"difficulties":[43],"in":[44,76,93,194],"achieving":[45],"global":[46,229],"optimization":[47],"when":[48],"dealing":[49],"with":[50],"illumination":[51],"variations,":[52],"deviations,":[54],"multi-task":[56],"concurrency.":[57],"To":[58],"address":[59],"these":[60],"issues,":[61],"this":[62,117],"study":[63],"investigates":[64],"a":[65,83,113],"vision-guided":[66,161,195],"intelligent":[67,121,162],"selection":[68,124,163,198],"algorithm":[69,81,155,179,237],"for":[70,144,168,199],"feeding":[72,95,110,122,148,166,185,192,196],"AGVs":[75,169,200],"accessory":[78,99],"transportation.":[79],"The":[80,153],"employs":[82],"vision-based":[84],"deviation":[87],"recognition":[88],"method":[89,208],"to":[90,107,139,159,211,227,238],"identify":[91],"deviations":[92],"during":[97],"delivery.":[100],"A":[101,205],"multi-step":[102,206],"grid":[103,114,118,207,215],"approach":[104],"is":[105,132,137,209],"utilized":[106],"model":[108,125],"environment":[111],"map.":[115],"Within":[116],"map,":[119],"an":[120],"based":[126],"on":[127],"pigeon-inspired":[129],"optimizer":[130],"(PIO)":[131],"applied.":[133],"An":[134],"objective":[135],"function":[136],"designed":[138],"achieve":[140],"shortest":[142],"safely":[145],"reaching":[146],"destination":[149],"after":[150],"deviation.":[152],"PIO":[154],"optimizes":[156],"enable":[160],"transporting":[170],"accessories.":[172,203],"Experimental":[173],"results":[174],"demonstrate":[175],"that":[176],"proposed":[178,210],"can":[180],"dynamically":[181,212],"plan":[182],"optimal":[184,230],"path,":[186],"reduce":[187],"travel":[188],"distance,":[189],"improve":[191],"efficiency":[193],"delivering":[201],"\u2022":[204,217,232],"adjust":[213],"granularity;":[216],"Take":[218],"key":[221],"points":[222],"landmarks":[224],"converge":[226],"path;":[231],"Triggering":[233],"pigeon":[235],"colony":[236],"re-plan":[239],"path.":[241]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2026-01-23T00:00:00"}
