{"id":"https://openalex.org/W2531461701","doi":null,"title":"Three Dimensional Multi-Objective Path Planning of Unmanned Aerial Vehicles Using Particle Swarm Optimization","display_name":"Three Dimensional Multi-Objective Path Planning of Unmanned Aerial Vehicles Using Particle Swarm Optimization","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2531461701","mag":"2531461701"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.384.2216","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.384.2216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vrac.iastate.edu/research/sites/uav_wp/wp-content/uploads/2008/02/aiaa-2007-1881-440.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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":"Jung Leng Foo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung Leng Foo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025717364","display_name":"Jared Scott Knutzon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jared S. Knutzon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023755537","display_name":"James H. Oliver","orcid":"https://orcid.org/0000-0003-2815-4928","observed_orcids":["https://orcid.org/0000-0003-2815-4928"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James H. Oliver","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014489822","display_name":"Eliot H. Winer","orcid":"https://orcid.org/0000-0001-9672-7172","observed_orcids":["https://orcid.org/0000-0001-9672-7172"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eliot H. Winer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5489,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81953084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9848999977111816,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.010900000110268593,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/unmanned-aerial-vehicles","display_name":"unmanned aerial vehicles","score":0.8820000290870667},{"id":"https://openalex.org/keywords/3d-path-planning","display_name":"3D path planning","score":0.9169999957084656},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.972000002861023},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9919999837875366},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"obstacle avoidance","score":0.8270000219345093},{"id":"https://openalex.org/keywords/fuel-consumption","display_name":"fuel consumption","score":0.8980000019073486},{"id":"https://openalex.org/keywords/b-spline-curves","display_name":"B-spline curves","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7160933613777161},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6450670957565308},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5750190019607544},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.569066047668457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5203127861022949},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.4995870590209961},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.49552905559539795},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3654414415359497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23326393961906433},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.20672261714935303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1502259373664856},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.11094355583190918},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.384.2216","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.384.2216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vrac.iastate.edu/research/sites/uav_wp/wp-content/uploads/2008/02/aiaa-2007-1881-440.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1601512022","https://openalex.org/W1995269626","https://openalex.org/W2003835006","https://openalex.org/W2075094664","https://openalex.org/W2105931881","https://openalex.org/W2109364787","https://openalex.org/W2113222527","https://openalex.org/W2157307297","https://openalex.org/W2159745310","https://openalex.org/W2165076216","https://openalex.org/W2327329569"],"related_works":["https://openalex.org/W2102774717","https://openalex.org/W2333625014","https://openalex.org/W2170240600","https://openalex.org/W2137170715","https://openalex.org/W2180690601","https://openalex.org/W7159573568","https://openalex.org/W2319843255","https://openalex.org/W2334376940","https://openalex.org/W7162536193","https://openalex.org/W4405982006"],"abstract_inverted_index":{"Military":[0],"operations":[1],"are":[2,56,152],"turning":[3],"to":[4,20,32,38,58,64,74,101,105,110],"more":[5],"complex":[6],"and":[7,14,88,108,187],"advanced":[8],"automation":[9],"technology":[10],"for":[11,61,162],"minimum":[12,178],"risk":[13,103],"maximum":[15,176],"efficiency.":[16],"A":[17],"critical":[18],"piece":[19],"this":[21],"strategy":[22],"is":[23,139,190],"unmanned":[24],"aerial":[25],"vehicles":[26],"(UAVs).":[27],"UAVs":[28],"require":[29],"the":[30,118,127,142,146,163,194],"intelligence":[31],"safely":[33],"maneuver":[34],"along":[35,192],"a":[36,62,81,123,173],"path":[37,53,84,144],"an":[39],"intended":[40],"target,":[41],"avoiding":[42],"obstacles":[43],"such":[44],"as":[45,141],"other":[46],"aircrafts":[47],"or":[48,181],"enemy":[49,106],"threats.":[50],"Often":[51],"automated":[52],"planning":[54,85],"algorithms":[55,70],"employed":[57],"specify":[59],"targets":[60],"UAV":[63],"fly":[65],"to.":[66],"To":[67],"date,":[68],"path-planning":[69],"have":[71],"been":[72],"limited":[73],"two-dimensional":[75],"problem":[76,86,97,128,185],"formulations.":[77],"This":[78],"paper":[79],"presents":[80],"unique":[82],"three-dimensional":[83],"formulation":[87,98,129,186],"solution":[89,188],"approach":[90],"using":[91,154],"Particle":[92],"Swarm":[93],"Optimization":[94],"(PSO).":[95],"The":[96,135,166,184],"was":[99],"designed":[100],"minimize":[102,111],"due":[104],"threats":[107],"also":[109],"fuel":[112,179],"consumption":[113],"incurred":[114],"by":[115],"deviating":[116],"from":[117,196],"original":[119,143],"path.":[120],"In":[121],"addition,":[122],"third":[124],"objective":[125],"in":[126],"takes":[130],"into":[131],"account":[132],"reconnaissance":[133],"targets.":[134],"initial":[136],"design":[137],"point":[138],"defined":[140],"of":[145],"UAV.":[147],"Using":[148],"PSO,":[149],"alternate":[150],"paths":[151,168],"generated":[153],"B-spline":[155],"curves,":[156],"optimized":[157,171],"based":[158],"on":[159],"preferences":[160],"set":[161],"three":[164],"objectives.":[165],"resulting":[167],"can":[169],"be":[170],"with":[172,193],"preference":[174],"towards":[175],"safety,":[177],"consumption,":[180],"target":[182],"reconnaissance.":[183],"implementation":[189],"described":[191],"results":[195],"several":[197],"simulated":[198],"scenarios.":[199],"I.":[200]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2025-10-27T00:00:00"}