{"id":"https://openalex.org/W4210554257","doi":"https://doi.org/10.1155/2022/8519708","title":"A Novel UAV Path Planning Algorithm Based on Double-Dynamic Biogeography-Based Learning Particle Swarm Optimization","display_name":"A Novel UAV Path Planning Algorithm Based on Double-Dynamic Biogeography-Based Learning Particle Swarm Optimization","publication_year":2022,"publication_date":"2022-01-29","ids":{"openalex":"https://openalex.org/W4210554257","doi":"https://doi.org/10.1155/2022/8519708"},"language":"en","primary_location":{"id":"doi:10.1155/2022/8519708","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/8519708","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/8519708.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2022/8519708.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022339842","display_name":"Yisheng Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisheng Ji","raw_affiliation_strings":["School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050391013","display_name":"Xinchao Zhao","orcid":"https://orcid.org/0000-0001-9376-7646"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinchao Zhao","raw_affiliation_strings":["School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009488868","display_name":"Junling Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I146563203","display_name":"University of International Business and Economics","ror":"https://ror.org/05khqpb71","country_code":"CN","type":"education","lineage":["https://openalex.org/I146563203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junling Hao","raw_affiliation_strings":["School of Statistics, University of International Business and Economics, Beijing 100029, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, University of International Business and Economics, Beijing 100029, China","institution_ids":["https://openalex.org/I146563203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050391013"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.7314,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85381018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9858999848365784,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9544000029563904,"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/terrain","display_name":"Terrain","score":0.8447149991989136},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7650364637374878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7307273149490356},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5916674733161926},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5879527926445007},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5219794511795044},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49950456619262695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41809284687042236},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4105282425880432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3704851567745209},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1607171595096588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1412752866744995},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08661279082298279}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.8447149991989136},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7650364637374878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307273149490356},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5916674733161926},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5879527926445007},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5219794511795044},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49950456619262695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41809284687042236},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4105282425880432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3704851567745209},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1607171595096588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1412752866744995},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08661279082298279},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/8519708","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/8519708","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/8519708.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3407ce5c6c014ae5bbce8dc1b831d4d2","is_oa":true,"landing_page_url":"https://doaj.org/article/3407ce5c6c014ae5bbce8dc1b831d4d2","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":"Mobile Information Systems, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/8519708","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/8519708","pdf_url":"https://downloads.hindawi.com/journals/misy/2022/8519708.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1405978688","display_name":null,"funder_award_id":"1202020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500914554","display_name":null,"funder_award_id":"61973042","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/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210554257.pdf","grobid_xml":"https://content.openalex.org/works/W4210554257.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1828594452","https://openalex.org/W1982970548","https://openalex.org/W1986834168","https://openalex.org/W1992106482","https://openalex.org/W2059115408","https://openalex.org/W2077831477","https://openalex.org/W2085492522","https://openalex.org/W2097326205","https://openalex.org/W2102213208","https://openalex.org/W2123066915","https://openalex.org/W2130724591","https://openalex.org/W2131613989","https://openalex.org/W2155005783","https://openalex.org/W2168081761","https://openalex.org/W2501646324","https://openalex.org/W2518812438","https://openalex.org/W2526479336","https://openalex.org/W2618275389","https://openalex.org/W2747877364","https://openalex.org/W2892190252","https://openalex.org/W2953150647","https://openalex.org/W3041518802","https://openalex.org/W3084020106","https://openalex.org/W4252908937"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W4285089922","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":{"Particle":[0],"swarm":[1,135],"optimization":[2,136],"(PSO),":[3],"one":[4,51,177,189],"of":[5,29,83,86,178,192,199,205,225,228,233,253,287],"the":[6,60,149,154,164,175,206,223,250,259],"classical":[7],"path":[8,19,33,45,88],"planning":[9,20,34,46,89],"algorithms,":[10,241,266],"has":[11],"been":[12,40],"considered":[13],"for":[14],"unmanned":[15],"aerial":[16],"vehicle":[17],"(UAV)":[18],"more":[21],"frequently":[22],"in":[23,275],"recent":[24],"years.":[25],"A":[26],"large":[27],"amount":[28],"studies":[30],"on":[31,36,249],"UAV":[32,44,87],"based":[35],"modified":[37,64],"PSO":[38,65,243,268],"have":[39,68],"reported.":[41],"However,":[42,188],"most":[43],"algorithms":[47,66],"still":[48],"optimize":[49],"only":[50,208],"kind":[52],"terrain":[53,84,97],"problem":[54],"which":[55,182],"is":[56,160,236],"mountain":[57],"terrain.":[58],"At":[59],"same":[61],"time,":[62],"many":[63],"also":[67],"some":[69],"problems,":[70],"such":[71],"as":[72],"insufficient":[73],"convergence":[74],"and":[75,115,125,156,221,245,270,278],"unsatisfactory":[76],"efficiency.":[77],"In":[78,167,212],"this":[79,168,213],"paper,":[80],"six":[81],"kinds":[82],"functions":[85,98],"are":[90,183],"proposed":[91,128,262],"to":[92,139,162],"simulate":[93],"real-world":[94],"application.":[95],"The":[96,143,231],"contain":[99],"city,":[100],"village":[101,104],"without":[102,109],"houses,":[103,106,110,114],"with":[105,113,118,238],"mountainous":[107,111,116],"area":[108,112,117],"a":[119,129,242,246,267,271,284],"huge":[120],"building.":[121],"Inspired":[122],"by":[123,196],"CLPSO":[124],"BLPSO,":[126],"we":[127,261],"new":[130],"double-dynamic":[131,144],"biogeography-based":[132,145],"learning":[133,146,151,165],"particle":[134,171,193,201,207],"(DDBLPSO)":[137],"algorithm":[138,235,260],"solve":[140],"these":[141],"problems.":[142,280],"strategy":[147],"replacing":[148],"traditional":[150],"mechanism":[152],"from":[153,174,210,218],"personal":[155],"global":[157],"best":[158],"particles":[159,181,215],"used":[161],"select":[163],"particles.":[166],"strategy,":[169],"each":[170],"will":[172,194],"learn":[173,209,217],"better":[176,219],"two":[179],"selected":[180],"not":[184],"worse":[185],"than":[186],"itself.":[187,211],"random":[190],"component":[191,198],"replaced":[195],"corresponding":[197],"other":[200],"if":[202],"all":[203],"components":[204],"way,":[214],"sufficiently":[216],"objects":[220],"maintain":[222],"ability":[224],"jumping":[226],"out":[227],"local":[229],"optimality.":[230],"superiority":[232],"our":[234,288],"verified":[237],"four":[239,264],"relevant":[240,265],"variant,":[244,269],"BBO":[247,272],"variant":[248,273],"benchmark":[251],"suite":[252],"CEC2015.":[254],"Real-world":[255],"application":[256,286],"demonstrates":[257],"that":[258],"outperforms":[263],"both":[274],"small-scale":[276],"problems":[277],"large-scale":[279],"This":[281],"paper":[282],"shows":[283],"good":[285],"novel":[289],"algorithm.":[290]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
