{"id":"https://openalex.org/W4412106680","doi":"https://doi.org/10.1145/3712256.3726306","title":"HSEPSO: A Hierarchical Self-Evolutionary PSO Approach for UAV Path Planning","display_name":"HSEPSO: A Hierarchical Self-Evolutionary PSO Approach for UAV Path Planning","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412106680","doi":"https://doi.org/10.1145/3712256.3726306"},"language":"en","primary_location":{"id":"doi:10.1145/3712256.3726306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726306","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-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":"https://openalex.org/A5112144044","display_name":"Jie Wei","orcid":"https://orcid.org/0009-0000-7600-8779"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Wei","raw_affiliation_strings":["Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0009-0000-7600-8779","affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624916","display_name":"Yuhui Zhang","orcid":"https://orcid.org/0000-0002-5769-3456"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zhang","raw_affiliation_strings":["Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-5769-3456","affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101826539","display_name":"Wenhong Wei","orcid":"https://orcid.org/0000-0001-7929-0079"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhong Wei","raw_affiliation_strings":["Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0001-7929-0079","affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112144044"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":0.3794,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57649939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1577","last_page":"1584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.6647042036056519},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.626359224319458},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5767477750778198},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5201725959777832},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4921824038028717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4728848338127136},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35748887062072754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16674956679344177},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.06259134411811829},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.060410648584365845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647042036056519},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.626359224319458},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5767477750778198},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5201725959777832},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4921824038028717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4728848338127136},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35748887062072754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16674956679344177},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.06259134411811829},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.060410648584365845}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712256.3726306","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726306","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G835007522","display_name":null,"funder_award_id":"62106046","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2053432776","https://openalex.org/W2055885994","https://openalex.org/W2093048429","https://openalex.org/W2102213208","https://openalex.org/W2123066915","https://openalex.org/W3089893234","https://openalex.org/W3123071601","https://openalex.org/W3151306683","https://openalex.org/W4253484285","https://openalex.org/W4285151170","https://openalex.org/W4285189951","https://openalex.org/W4310494058","https://openalex.org/W4319721356","https://openalex.org/W4323269198","https://openalex.org/W4387846679","https://openalex.org/W4390057438","https://openalex.org/W4396854620","https://openalex.org/W4398230088","https://openalex.org/W4399183816","https://openalex.org/W4400105423","https://openalex.org/W4401215987","https://openalex.org/W4401843442","https://openalex.org/W4406612954","https://openalex.org/W6656506093","https://openalex.org/W6682642761"],"related_works":["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","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736"],"abstract_inverted_index":{"This":[0,85],"paper":[1],"proposes":[2],"a":[3,66,119],"Hierarchical":[4],"Self-Evolutionary":[5],"PSO":[6,48,164],"(HSEPSO)":[7],"Approach":[8],"for":[9,74,151],"UAV":[10],"Path":[11],"Planning":[12],"to":[13,28,32,47,52,94,102,145,162],"address":[14],"the":[15,30,50,59,89,104,112,134,138,149],"challenges":[16],"faced":[17],"by":[18,78],"traditional":[19,163],"Particle":[20],"Swarm":[21],"Optimization":[22],"(PSO),":[23],"such":[24],"as":[25,170],"high":[26],"sensitivity":[27],"parameters,":[29],"tendency":[31],"become":[33],"trapped":[34],"in":[35,41,179],"local":[36,129],"optima,":[37],"and":[38,72,115,128,153,165,173,184],"slow":[39],"convergence":[40,182],"later":[42],"stages.":[43],"Additionally,":[44],"existing":[45],"improvements":[46,178],"lack":[49],"ability":[51],"dynamically":[53,110],"adjust":[54],"evolution":[55],"strategies":[56,144],"based":[57,81,132],"on":[58,82,98,133],"current":[60],"state":[61,136],"of":[62,137],"particles.":[63],"HSEPSO":[64,140,175],"employs":[65],"hybrid":[67],"clustering":[68,83],"strategy":[69],"combining":[70],"K-Means":[71],"DB-SCAN":[73],"population":[75,79,90],"initialization,":[76],"followed":[77],"division":[80],"results.":[84],"ensures":[86],"diversity":[87],"within":[88],"while":[91],"enabling":[92],"particles":[93],"focus":[95],"their":[96],"search":[97,127,150],"regions":[99],"more":[100],"likely":[101],"contain":[103],"optimal":[105],"solution.":[106],"The":[107],"algorithm":[108,155],"also":[109],"adjusts":[111],"learning":[113],"factors":[114],"inertia":[116],"weights":[117],"through":[118],"nonlinear":[120],"adaptive":[121],"update":[122],"strategy,":[123],"effectively":[124],"balancing":[125],"global":[126],"exploitation.":[130],"Moreover,":[131],"real-time":[135],"particles,":[139],"incorporates":[141],"different":[142],"evolutionary":[143],"accelerate":[146],"convergence,":[147],"optimize":[148],"solutions,":[152],"enhance":[154],"robustness.":[156,185],"Experimental":[157],"results":[158],"demonstrate":[159],"that,":[160],"compared":[161],"other":[166],"improved":[167],"algorithms":[168],"(such":[169],"MFIPSO,":[171],"SDPSO,":[172],"SA2PSO),":[174],"shows":[176],"notable":[177],"optimization":[180],"performance,":[181],"speed,":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
