{"id":"https://openalex.org/W4402931366","doi":"https://doi.org/10.1142/s2301385025500785","title":"Optimal Path Planning Algorithm of Indoor AGV Enhanced with HHO and Sector-Wide Field DWA","display_name":"Optimal Path Planning Algorithm of Indoor AGV Enhanced with HHO and Sector-Wide Field DWA","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402931366","doi":"https://doi.org/10.1142/s2301385025500785"},"language":"en","primary_location":{"id":"doi:10.1142/s2301385025500785","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2301385025500785","pdf_url":null,"source":{"id":"https://openalex.org/S4210169569","display_name":"Unmanned Systems","issn_l":"2301-3850","issn":["2301-3850","2301-3869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Unmanned Systems","raw_type":"journal-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":null,"display_name":"Zhen Zhou","orcid":"https://orcid.org/0009-0008-3261-5866"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhou","raw_affiliation_strings":["Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-3261-5866","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103896289","display_name":"Yujie Song","orcid":"https://orcid.org/0009-0004-2614-1909"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Song","raw_affiliation_strings":["Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China"],"raw_orcid":"https://orcid.org/0009-0004-2614-1909","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103033987","display_name":"Shuo Li","orcid":"https://orcid.org/0009-0006-8583-9164"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic and Information Engineering Hebei University, Baoding 071000, P. R. China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.4087,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60642899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"14","issue":"01","first_page":"21","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.991599977016449,"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":0.991599977016449,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9775000214576721,"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":0.5772654414176941},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5630363821983337},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5185887813568115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5174801349639893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.495025098323822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18607169389724731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1762944757938385},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06873175501823425},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.044137269258499146}],"concepts":[{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5772654414176941},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5630363821983337},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5185887813568115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5174801349639893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.495025098323822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18607169389724731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1762944757938385},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06873175501823425},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.044137269258499146},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2301385025500785","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2301385025500785","pdf_url":null,"source":{"id":"https://openalex.org/S4210169569","display_name":"Unmanned Systems","issn_l":"2301-3850","issn":["2301-3850","2301-3869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Unmanned Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G5153451219","display_name":null,"funder_award_id":"BJK2023057","funder_id":"https://openalex.org/F4320335952","funder_display_name":"Guizhou Education Department Youth Science and Technology Talents Growth Project"},{"id":"https://openalex.org/G5510284892","display_name":null,"funder_award_id":"62103127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8232196156","display_name":null,"funder_award_id":"62373132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335952","display_name":"Guizhou Education Department Youth Science and Technology Talents Growth Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2774597868","https://openalex.org/W2795400390","https://openalex.org/W2798000375","https://openalex.org/W2895647709","https://openalex.org/W2902331427","https://openalex.org/W2913106923","https://openalex.org/W2919979744","https://openalex.org/W2981460880","https://openalex.org/W3160013055","https://openalex.org/W3172828243","https://openalex.org/W3181843513","https://openalex.org/W3187511524","https://openalex.org/W3215808442","https://openalex.org/W4308654838","https://openalex.org/W4311757964","https://openalex.org/W4322625138","https://openalex.org/W4367315959","https://openalex.org/W4380434690","https://openalex.org/W4380684551","https://openalex.org/W4381735885","https://openalex.org/W4384693577","https://openalex.org/W4386821601","https://openalex.org/W4388948123","https://openalex.org/W4390116555","https://openalex.org/W4390546341","https://openalex.org/W4392469836","https://openalex.org/W4395696802"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4289260319","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153"],"abstract_inverted_index":{"With":[0],"an":[1,25],"aim":[2],"to":[3,57,80,94,140,157],"solve":[4,158],"the":[5,11,33,53,58,61,66,71,108,115,159,165,170,184,196,212],"issue":[6],"of":[7,35,161,186,200],"dynamic":[8,135,192],"obstacles":[9],"and":[10,40,87,129,147,163,190,198,208],"global":[12,86,188],"optimal":[13],"path":[14,28,152],"planning":[15,29],"for":[16,125],"indoor":[17],"Automated":[18],"Guided":[19],"Vehicles":[20],"(AGVs),":[21],"this":[22],"paper":[23],"addressed":[24],"enhanced":[26,113,171],"hybrid":[27],"method":[30],"based":[31],"on":[32,211],"improvement":[34],"Harris":[36,72,176],"Hawk":[37,73],"Optimization":[38],"(HHO)":[39],"Dynamic":[41],"Window":[42,179],"Approach":[43,180],"(DWA).":[44],"The":[45],"main":[46],"contributions":[47],"are":[48,63,203],"given":[49],"as":[50],"follows.":[51],"On":[52,107],"one":[54],"hand,":[55,110],"compared":[56],"traditional":[59],"HHO,":[60],"performances":[62],"improved":[64],"in":[65],"following":[67,116],"aspects.":[68],"First,":[69],"initializing":[70],"population":[74,100],"with":[75,90,102,173],"a":[76,91,103,119,130,134,142,150],"circle-tent":[77],"chaotic":[78],"map":[79],"enhance":[81,148],"search":[82],"capability.":[83],"Second,":[84],"balancing":[85],"local":[88,96,145],"searches":[89],"segmented":[92],"strategy":[93,137,154],"avoid":[95],"optima;":[97],"Third,":[98],"improving":[99],"survival":[101],"hard-constraint":[104],"mutation":[105],"strategy.":[106],"other":[109],"DWA":[111],"is":[112,123,138,155],"from":[114],"three":[117],"perspectives:":[118],"sector":[120],"potential":[121],"field":[122],"adopted":[124],"early":[126],"obstacle":[127,193],"avoidance":[128],"smoother":[131],"AGV":[132],"trajectories;":[133],"weighting":[136],"used":[139],"obtain":[141],"better":[143],"escape":[144],"optima":[146],"safety;":[149],"obstacle-free":[151],"attraction":[153],"proposed":[156],"problem":[160],"detours":[162],"accelerates":[164],"convergence":[166],"speed.":[167],"Finally,":[168],"combined":[169],"HHO":[172],"DWA,":[174],"Generalized":[175],"Hawks":[177],"Optimization-Dynamic":[178],"(GHHO-DWA)":[181],"algorithm":[182,202],"addresses":[183],"issues":[185],"nonsmooth":[187],"paths":[189],"inadequate":[191],"avoidance.":[194],"Meanwhile,":[195],"effectiveness":[197],"practicality":[199],"GHHO-DWA":[201],"validated":[204],"through":[205],"MATLAB":[206],"simulations":[207],"physical":[209],"testing":[210],"QBot2e":[213],"platform.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
