{"id":"https://openalex.org/W7133517036","doi":"https://doi.org/10.1109/jsyst.2026.3663302","title":"Multiagent Multitarget Search with Multi-Head Attention","display_name":"Multiagent Multitarget Search with Multi-Head Attention","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7133517036","doi":"https://doi.org/10.1109/jsyst.2026.3663302"},"language":null,"primary_location":{"id":"doi:10.1109/jsyst.2026.3663302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2026.3663302","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5060137307","display_name":"Huiqin Pei","orcid":"https://orcid.org/0000-0003-4489-4803"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqin Pei","raw_affiliation_strings":["School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-4489-4803","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zilong Luo","orcid":"https://orcid.org/0009-0001-1901-9903"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Luo","raw_affiliation_strings":["School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0001-1901-9903","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28354618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"201","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.09809999912977219,"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"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.09809999912977219,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.07680000364780426,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.06650000065565109,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30649998784065247},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.27619999647140503},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.2574000060558319},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25450000166893005},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2531000077724457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705999732017517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.23309999704360962}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2026.3663302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2026.3663302","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8530205804","display_name":null,"funder_award_id":"20242BAB25108","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,17,156],"swarm":[1,101],"drone":[2],"applications,":[3],"the":[4,36,58,91,140,161,166,195,200],"problem":[5],"of":[6,153,165,199],"multitarget":[7,59,80,132],"self-organizing":[8,133,158],"search":[9,24,44,60,65,81,134,159],"in":[10,41,84,131,151],"unknown":[11],"environments":[12],"has":[13],"demonstrated":[14],"immense":[15],"potential.":[16],"this":[18,54,75],"problem,":[19],"agents":[20,105],"need":[21],"to":[22,106,123],"collaboratively":[23],"for":[25,99],"multiple":[26],"dynamic":[27],"targets":[28],"while":[29],"only":[30],"observing":[31],"their":[32,51],"immediate":[33],"surroundings.":[34],"However,":[35],"computational":[37],"complexity":[38],"and":[39,70,96,117,127,184,188,197,209],"uncertainty":[40],"traditional":[42],"multiagent":[43,64,79,147],"processes":[45],"have":[46],"been":[47],"critical":[48,110],"factors":[49],"limiting":[50],"performance.":[52],"Therefore,":[53],"article":[55,76],"focuses":[56],"on":[57,109,192],"problem.":[61],"First,":[62],"a":[63,78],"environment":[66],"including":[67],"agents,":[68,115],"targets,":[69,116],"obstacles":[71,118],"is":[72,169],"constructed.":[73],"Subsequently,":[74],"proposes":[77],"method":[82,89,142,168,202],"(MASOS)":[83],"complex":[85],"obstacle":[86,128],"environments.":[87],"This":[88],"integrates":[90],"Actor\u2013Critic":[92],"reinforcement":[93,148],"learning":[94,149],"algorithm":[95],"multi-head":[97,185],"attention":[98,186],"UAV":[100],"collaborative":[102],"control,":[103],"enabling":[104],"focus":[107],"more":[108],"information":[111],"such":[112],"as":[113],"other":[114,144],"during":[119],"observation.":[120],"It":[121],"aims":[122],"enhance":[124],"search,":[125],"collaboration,":[126],"avoidance":[129],"capabilities":[130],"tasks.":[135],"Experimental":[136],"results":[137],"show":[138],"that":[139],"MASOS":[141,167,201],"outperforms":[143],"commonly":[145],"used":[146],"algorithms":[150],"terms":[152],"coordination":[154],"strategies.":[155],"large-scale":[157],"tasks,":[160],"capture":[162],"success":[163],"rate":[164],"nearly":[170],"100%.":[171],"Finally,":[172],"By":[173],"designing":[174],"multitask":[175],"scenario":[176],"experiments,":[177],"conducting":[178],"comparative":[179],"analyses":[180],"combining":[181],"multilayer":[182],"perceptron":[183],"mechanism,":[187],"performing":[189],"ablation":[190],"studies":[191],"key":[193],"modules,":[194],"effectiveness":[196],"interpretability":[198],"are":[203],"verified":[204],"from":[205],"two":[206],"aspects:":[207],"Performance":[208],"decision-making":[210],"logic.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-05T00:00:00"}
