{"id":"https://openalex.org/W3029655329","doi":"https://doi.org/10.1109/access.2020.2998189","title":"A Behavior Optimization Method for Unmanned Combat Aerial Vehicles Using Matrix Factorization","display_name":"A Behavior Optimization Method for Unmanned Combat Aerial Vehicles Using Matrix Factorization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3029655329","doi":"https://doi.org/10.1109/access.2020.2998189","mag":"3029655329"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2998189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998189","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103002.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103002.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082209298","display_name":"Jaeseok Huh","orcid":"https://orcid.org/0000-0003-0055-919X"},"institutions":[{"id":"https://openalex.org/I1322422313","display_name":"Tech University of Korea","ror":"https://ror.org/0060vt104","country_code":"KR","type":"education","lineage":["https://openalex.org/I1322422313"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaeseok Huh","raw_affiliation_strings":["Department of Business Administration, Korea Polytechnic University, Siheung-si, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Korea Polytechnic University, Siheung-si, South Korea","institution_ids":["https://openalex.org/I1322422313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102823810","display_name":"Jonghun Park","orcid":"https://orcid.org/0000-0001-7505-110X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jonghun Park","raw_affiliation_strings":["Department of Industrial Engineering and Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7505-110X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750495","display_name":"Dongmin Shin","orcid":"https://orcid.org/0000-0003-1785-4603"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongmin Shin","raw_affiliation_strings":["Department of Industrial and Management Engineering, Hanyang University, Ansan-si, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Engineering, Hanyang University, Ansan-si, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069399450","display_name":"Yerim Choi","orcid":"https://orcid.org/0000-0001-7239-5118"},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yerim Choi","raw_affiliation_strings":["Department of Industrial and Management Engineering, Kyonggi University, Suwon-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7239-5118","affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Engineering, Kyonggi University, Suwon-si, South Korea","institution_ids":["https://openalex.org/I28615091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082209298"],"corresponding_institution_ids":["https://openalex.org/I1322422313"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0981,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38168027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"100298","last_page":"100307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9646999835968018,"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"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198346853256226},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6304514408111572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5275523066520691},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47752419114112854},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4383341073989868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4074363112449646},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3547084927558899},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28937095403671265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1441763937473297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198346853256226},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6304514408111572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5275523066520691},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47752419114112854},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4383341073989868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4074363112449646},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3547084927558899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28937095403671265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1441763937473297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2998189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998189","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103002.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8a1a37aae7a34dd8813c0b8a04d253ed","is_oa":true,"landing_page_url":"https://doaj.org/article/8a1a37aae7a34dd8813c0b8a04d253ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 100298-100307 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2998189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998189","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103002.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2176224652","display_name":null,"funder_award_id":"GRRC KGU 2017-B01","funder_id":"https://openalex.org/F4320327848","funder_display_name":"Gyeonggi-do Regional Research Center"},{"id":"https://openalex.org/G6580628637","display_name":null,"funder_award_id":"2017-B01","funder_id":"https://openalex.org/F4320327848","funder_display_name":"Gyeonggi-do Regional Research Center"}],"funders":[{"id":"https://openalex.org/F4320327848","display_name":"Gyeonggi-do Regional Research Center","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3029655329.pdf","grobid_xml":"https://content.openalex.org/works/W3029655329.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W952777547","https://openalex.org/W1532325895","https://openalex.org/W1972197206","https://openalex.org/W1973585542","https://openalex.org/W1977556410","https://openalex.org/W1990399025","https://openalex.org/W2017089774","https://openalex.org/W2028814040","https://openalex.org/W2041208063","https://openalex.org/W2070213512","https://openalex.org/W2082729958","https://openalex.org/W2101409192","https://openalex.org/W2139477375","https://openalex.org/W2142584058","https://openalex.org/W2157233940","https://openalex.org/W2165430451","https://openalex.org/W2257308201","https://openalex.org/W2260124865","https://openalex.org/W2292610103","https://openalex.org/W2354718012","https://openalex.org/W2366739739","https://openalex.org/W2403831835","https://openalex.org/W2489850253","https://openalex.org/W2556852254","https://openalex.org/W2570103721","https://openalex.org/W2583362313","https://openalex.org/W2754000639","https://openalex.org/W2766018607","https://openalex.org/W2773450466","https://openalex.org/W2782039396","https://openalex.org/W2792734461","https://openalex.org/W2899656399","https://openalex.org/W2910376060","https://openalex.org/W2919353283","https://openalex.org/W2942710876","https://openalex.org/W2972147693","https://openalex.org/W4213009331","https://openalex.org/W6692763518"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4285140130","https://openalex.org/W3104770499","https://openalex.org/W4285677055","https://openalex.org/W1992731528","https://openalex.org/W2007843488","https://openalex.org/W1994436307","https://openalex.org/W1987021796","https://openalex.org/W2795565301","https://openalex.org/W2785349417"],"abstract_inverted_index":{"One":[0],"of":[1,24,31,57,105,114,122,137],"the":[2,22,29,46,55,118,135,145,160],"fundamental":[3],"technologies":[4],"for":[5,45,70,111,150],"unmanned":[6,123],"combat":[7,11,34,124,156],"aerial":[8,125],"vehicles":[9],"and":[10,91,109],"simulators":[12],"is":[13,103,141],"behavior":[14,19,47,71,119],"optimization,":[15],"which":[16,102,159],"finds":[17],"a":[18,26,87,97],"that":[20,60],"maximizes":[21],"probability":[23],"winning":[25],"battle.":[27],"With":[28],"advent":[30],"military":[32],"science,":[33],"logs":[35],"became":[36],"available,":[37],"allowing":[38],"machine":[39],"learning":[40],"algorithms":[41],"to":[42,50,117,143],"be":[43],"used":[44],"optimization.":[48],"Due":[49],"implicit":[51],"attributes":[52],"such":[53],"as":[54],"experience":[56],"an":[58],"operator":[59],"are":[61,132],"not":[62],"explicitly":[63],"presented":[64],"in":[65,75,86,139,158],"log":[66],"data,":[67],"existing":[68],"methods":[69],"optimization":[72,120],"have":[73],"limitations":[74],"performance":[76,151],"improvement.":[77],"Furthermore,":[78],"specific":[79],"behaviors":[80,138],"occur":[81],"with":[82,89],"low":[83],"frequency,":[84],"resulting":[85],"dataset":[88],"imbalanced":[90],"empty":[92,115],"values.":[93],"Therefore,":[94],"we":[95],"apply":[96],"matrix":[98],"factorization":[99],"(MF)":[100],"method,":[101],"one":[104],"latent":[106],"factor":[107],"models":[108],"known":[110],"sophisticated":[112],"imputation":[113],"values,":[116],"problem":[121],"vehicles.":[126],"A":[127],"situation-behavior":[128],"matrix,":[129],"whose":[130],"elements":[131],"ratings":[133],"indicating":[134],"optimality":[136],"situations,":[140],"defined":[142],"implement":[144],"MF":[146],"based":[147],"method.":[148],"Experiments":[149],"comparison":[152],"were":[153],"conducted":[154],"on":[155],"logs,":[157],"proposed":[161],"method":[162],"yielded":[163],"satisfactory":[164],"results.":[165]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
