{"id":"https://openalex.org/W7118721594","doi":"https://doi.org/10.1109/indin64977.2025.11278992","title":"Cooperative Target Search for UAV Swarm Based on Multi-Hybrid Critic DDPG","display_name":"Cooperative Target Search for UAV Swarm Based on Multi-Hybrid Critic DDPG","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7118721594","doi":"https://doi.org/10.1109/indin64977.2025.11278992"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11278992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11278992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5122234210","display_name":"Ye Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ye Hou","raw_affiliation_strings":["Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122156521","display_name":"Xueru Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueru Miao","raw_affiliation_strings":["Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122233397","display_name":"Bo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Institute of Logistics Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5122234210"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":1.6516,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89769601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.5202999711036682,"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"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.5202999711036682,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.10170000046491623,"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":0.09719999879598618,"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/swarm-behaviour","display_name":"Swarm behaviour","score":0.6104000210762024},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5982999801635742},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.527400016784668},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.45579999685287476},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.44690001010894775},{"id":"https://openalex.org/keywords/bidirectional-search","display_name":"Bidirectional search","score":0.40380001068115234},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.38019999861717224},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.3589000105857849},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.3467000126838684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165000200271606},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6104000210762024},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5982999801635742},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.527400016784668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46720001101493835},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.45579999685287476},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C831591","wikidata":"https://www.wikidata.org/wiki/Q59750","display_name":"Bidirectional search","level":5,"score":0.40380001068115234},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39010000228881836},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.3467000126838684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3450999855995178},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C201789804","wikidata":"https://www.wikidata.org/wiki/Q2362762","display_name":"Search problem","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C204259536","wikidata":"https://www.wikidata.org/wiki/Q787903","display_name":"Linear search","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11278992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11278992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5338761210441589,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2617547828","https://openalex.org/W3127305823","https://openalex.org/W3127504873","https://openalex.org/W3203338734","https://openalex.org/W3213750164","https://openalex.org/W4226094091","https://openalex.org/W4312943725","https://openalex.org/W4321609295","https://openalex.org/W4385194665"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,21,41,65,81,91,94,98,101,105,110],"cooperative":[4,22,42,83,111],"target":[5,23,84,112],"search":[6,24,85,113],"problem":[7,25],"of":[8,48,76,93,100],"Unmanned":[9],"Aerial":[10],"Vehicle":[11],"(UAV)":[12],"swarm":[13,50],"in":[14,109],"an":[15,44],"unknown":[16],"and":[17,32,96,103],"complex":[18],"environment.":[19],"Firstly,":[20],"is":[26,51,62,87],"modeled":[27],"utilizing":[28],"Bayesian":[29],"probabilistic":[30],"updating":[31],"reconstructed":[33],"into":[34],"a":[35,54,73],"Markov":[36],"decision":[37],"process.":[38],"To":[39],"improve":[40],"capability,":[43],"information":[45],"fusion":[46],"mechanism":[47],"UAV":[49],"established.":[52],"Then,":[53],"multi-hybrid":[55],"critic":[56,67,95],"deep":[57],"deterministic":[58],"policy":[59],"gradient":[60],"method":[61],"proposed":[63,82],"with":[64],"central":[66],"network":[68],"hybridized":[69],"sub-critic":[70],"networks.":[71],"Finally,":[72],"large":[74],"number":[75],"simulation":[77],"results":[78],"verify":[79],"that":[80],"algorithm":[86],"able":[88],"to":[89],"suppress":[90],"overestimation":[92],"reduce":[97],"variance":[99],"actor,":[102],"outperforms":[104],"current":[106],"mainstream":[107],"methods":[108],"task":[114],".":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}
