{"id":"https://openalex.org/W4390066316","doi":"https://doi.org/10.1145/3635175.3635188","title":"An Improved DMSQPSO Algorithm For 3D UAV Path Planning","display_name":"An Improved DMSQPSO Algorithm For 3D UAV Path Planning","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4390066316","doi":"https://doi.org/10.1145/3635175.3635188"},"language":"en","primary_location":{"id":"doi:10.1145/3635175.3635188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635175.3635188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Intelligent Information Processing","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/A5061496649","display_name":"Zhenghan Zhou","orcid":"https://orcid.org/0009-0000-7422-2827"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghan Zhou","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":"https://orcid.org/0009-0000-7422-2827","affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014741","display_name":"Xing Yang","orcid":"https://orcid.org/0009-0009-0959-3571"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Yang","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":"https://orcid.org/0009-0009-0959-3571","affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024053576","display_name":"Ben Niu","orcid":"https://orcid.org/0000-0001-5822-8743"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Niu","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":"https://orcid.org/0000-0001-5822-8743","affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061496649"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.2355,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54694474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7460470199584961},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.691163182258606},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.611739456653595},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6104543805122375},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5722426176071167},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5687631964683533},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5493308901786804},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.525826096534729},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5068517327308655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4992814064025879},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46086180210113525},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.42426732182502747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3358120620250702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18453967571258545},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11888283491134644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08203253149986267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07207179069519043}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7460470199584961},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.691163182258606},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.611739456653595},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6104543805122375},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5722426176071167},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5687631964683533},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5493308901786804},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.525826096534729},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5068517327308655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4992814064025879},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46086180210113525},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.42426732182502747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3358120620250702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18453967571258545},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11888283491134644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08203253149986267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07207179069519043},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635175.3635188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635175.3635188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Intelligent Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969483458","https://openalex.org/W2060794637","https://openalex.org/W2077831477","https://openalex.org/W2103345739","https://openalex.org/W2131183806","https://openalex.org/W2132775137","https://openalex.org/W2138278080","https://openalex.org/W2144317842","https://openalex.org/W2152195021","https://openalex.org/W2320665255","https://openalex.org/W2521144071","https://openalex.org/W2783137486","https://openalex.org/W2964884740","https://openalex.org/W3034533053","https://openalex.org/W3151306683","https://openalex.org/W4211056630","https://openalex.org/W4308337415","https://openalex.org/W4310422352","https://openalex.org/W4319721356","https://openalex.org/W4366827185"],"related_works":["https://openalex.org/W2736680465","https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2771637876","https://openalex.org/W4240853094","https://openalex.org/W1992962589","https://openalex.org/W4294093918","https://openalex.org/W2810496283","https://openalex.org/W3089879900","https://openalex.org/W4285089922"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicle":[2],"(UAV)":[3],"path":[4,11,43,68],"planning":[5,44,69],"problem":[6,93],"requires":[7],"obtaining":[8,172],"an":[9],"optimal":[10],"in":[12,40,78,171],"complex":[13],"terrains.":[14],"To":[15],"ensure":[16],"smooth":[17,149],"and":[18,103,120],"stable":[19],"paths,":[20],"this":[21,82,92],"study":[22,83],"measures":[23],"the":[24,27,32,41,115,122,129,150,164,168],"stability":[25],"of":[26,36,131,167],"horizontal":[28,37],"direction":[29],"by":[30],"using":[31,50],"mean":[33,52],"squared":[34],"deviation":[35,54],"turning":[38],"angles":[39],"UAV":[42,67,159],"model,":[45],"which":[46,94,152],"is":[47,63,95,110],"based":[48,96],"on":[49,98],"height":[51],"square":[53],"to":[55,71,90,127,134,138,148,176],"measure":[56],"vertical":[57],"stability.":[58],"Particle":[59],"swarm":[60],"optimization":[61],"(PSO)":[62],"often":[64],"used":[65],"for":[66,157],"due":[70],"its":[72],"simplicity.":[73],"However,":[74],"PSO":[75,88,101,105],"easily":[76],"traps":[77],"local":[79,139],"optima.":[80,140],"Therefore,":[81],"proposes":[84],"dynamic":[85,99],"multi-swarm":[86,100],"quantum":[87,104],"(DMSQPSO)":[89],"address":[91],"both":[97],"(DMSPSO)":[102],"(QPSO).":[106],"The":[107],"proposed":[108],"algorithm":[109,170],"as":[111],"follows:":[112],"we":[113,142],"split":[114],"population":[116],"into":[117],"several":[118],"sub-swarms":[119],"use":[121,143],"updating":[123],"strategy":[124],"from":[125],"QPSO":[126],"improve":[128],"diversity":[130],"particle":[132],"behaviors":[133],"avoid":[135],"premature":[136],"convergence":[137],"Additionally,":[141],"a":[144],"cubic":[145],"B-spline":[146],"curve":[147],"path,":[151],"makes":[153],"it":[154],"more":[155],"suitable":[156],"real-world":[158],"flights.":[160],"Simulation":[161],"results":[162],"demonstrate":[163],"superior":[165],"performance":[166],"DMSQPSO":[169],"feasible":[173],"paths":[174],"compared":[175],"other":[177],"algorithms.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}