{"id":"https://openalex.org/W4414863743","doi":"https://doi.org/10.1080/17538947.2025.2562555","title":"A maritime search and rescue path planning method based on improved DQN","display_name":"A maritime search and rescue path planning method based on improved DQN","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414863743","doi":"https://doi.org/10.1080/17538947.2025.2562555"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2025.2562555","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2562555","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/17538947.2025.2562555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024326822","display_name":"Bo Ai","orcid":"https://orcid.org/0000-0003-4991-2564"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Ai","raw_affiliation_strings":["Shandong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086064138","display_name":"Haolin Cai","orcid":"https://orcid.org/0000-0001-9160-9046"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolin Cai","raw_affiliation_strings":["Shandong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079862010","display_name":"Qiqi Zhu","orcid":"https://orcid.org/0000-0002-5339-0829"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Zhu","raw_affiliation_strings":["Shandong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102629167","display_name":"Chongjun Feng","orcid":"https://orcid.org/0009-0001-2038-6997"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongjun Feng","raw_affiliation_strings":["Shandong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101570418","display_name":"Nan Xu","orcid":"https://orcid.org/0000-0003-3986-6883"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024326822"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28959271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","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":0.9991000294685364,"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":0.9991000294685364,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11622","display_name":"Maritime Navigation and Safety","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/motion-planning","display_name":"Motion planning","score":0.5874000191688538},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.582099974155426},{"id":"https://openalex.org/keywords/search-and-rescue","display_name":"Search and rescue","score":0.5698999762535095},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5461999773979187},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5460000038146973},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5076000094413757},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5023999810218811},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.45840001106262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739000082015991},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5874000191688538},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.5698999762535095},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5461999773979187},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5076000094413757},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5023999810218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46209999918937683},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.45840001106262207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37790000438690186},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2025.2562555","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2562555","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd162eef58904814905060fcb9d46745","is_oa":true,"landing_page_url":"https://doaj.org/article/fd162eef58904814905060fcb9d46745","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":"International Journal of Digital Earth, Vol 18, Iss 2 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2025.2562555","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2562555","pdf_url":null,"source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1935186273","https://openalex.org/W1995581599","https://openalex.org/W2001589150","https://openalex.org/W2007216244","https://openalex.org/W2042189440","https://openalex.org/W2064657848","https://openalex.org/W2076337359","https://openalex.org/W2099618002","https://openalex.org/W2122410182","https://openalex.org/W2133059825","https://openalex.org/W2133150111","https://openalex.org/W2139177468","https://openalex.org/W2141559645","https://openalex.org/W2145339207","https://openalex.org/W2610754607","https://openalex.org/W2741806916","https://openalex.org/W2938093816","https://openalex.org/W2946818102","https://openalex.org/W2974556546","https://openalex.org/W2981567125","https://openalex.org/W3007565530","https://openalex.org/W3011897278","https://openalex.org/W3083648773","https://openalex.org/W3089255138","https://openalex.org/W3090027660","https://openalex.org/W3123348991","https://openalex.org/W3127085325","https://openalex.org/W3129736740","https://openalex.org/W3130706049","https://openalex.org/W3156295478","https://openalex.org/W3158253560","https://openalex.org/W3174645049","https://openalex.org/W3186325801","https://openalex.org/W3189954501","https://openalex.org/W3198804470","https://openalex.org/W3205429877","https://openalex.org/W3208321106","https://openalex.org/W3216656735","https://openalex.org/W4211018044","https://openalex.org/W4214717370","https://openalex.org/W4214897012","https://openalex.org/W4229066299","https://openalex.org/W4282570835","https://openalex.org/W4285112691","https://openalex.org/W4293258904","https://openalex.org/W4297964528","https://openalex.org/W4304480790","https://openalex.org/W4312943725","https://openalex.org/W4313654810","https://openalex.org/W4327949030","https://openalex.org/W4362611784","https://openalex.org/W4377695283","https://openalex.org/W4380680527","https://openalex.org/W4384070162","https://openalex.org/W4384895363","https://openalex.org/W4385462630","https://openalex.org/W4388845327","https://openalex.org/W4388995993","https://openalex.org/W4391559452","https://openalex.org/W4391582543","https://openalex.org/W4392940109","https://openalex.org/W4398146846","https://openalex.org/W4400485458","https://openalex.org/W4400680228","https://openalex.org/W4401058752","https://openalex.org/W4401497441","https://openalex.org/W4402463647","https://openalex.org/W4402817918","https://openalex.org/W4404125330","https://openalex.org/W4405198563","https://openalex.org/W4406331685","https://openalex.org/W4407023937","https://openalex.org/W4407572398","https://openalex.org/W4410215018"],"related_works":[],"abstract_inverted_index":{"In":[0],"maritime":[1,49,81,185],"search":[2,7,95,174],"and":[3,18,38,99,116,138,166],"rescue":[4,16],"(SAR)":[5],"missions,":[6],"path":[8,51,96],"planning":[9,52],"is":[10,68,88,128],"a":[11,48,63,80,105,117,139,171,178],"key":[12],"factor":[13],"in":[14],"determining":[15],"efficiency":[17],"success":[19],"rate.":[20,175],"Due":[21],"to":[22,40,70,122],"the":[23,73,94,131,148,159,182],"limitations":[24],"of":[25,76,93,133,158,184],"traditional":[26],"algorithms":[27],"\u2013":[28,44],"which":[29],"rely":[30],"heavily":[31],"on":[32,55],"manual":[33],"decision-making,":[34],"are":[35,120],"strongly":[36],"subjective,":[37],"struggle":[39],"handle":[41],"complex":[42],"environments":[43],"this":[45],"paper":[46],"proposes":[47],"SAR":[50,65,82,186],"method":[53],"based":[54],"an":[56],"improved":[57],"Deep":[58],"Q-Learning":[59],"(DQN)":[60],"approach.":[61],"First,":[62],"marine":[64],"environment":[66],"model":[67,149],"constructed":[69],"accurately":[71],"predict":[72],"drift":[74],"trajectory":[75],"distressed":[77],"targets.":[78],"Then,":[79],"strategy":[83,115,119],"using":[84],"deep":[85],"reinforcement":[86],"learning":[87],"developed,":[89],"enabling":[90],"global":[91],"optimization":[92,153],"through":[97,130],"action":[98],"state":[100],"space":[101],"simplification,":[102],"along":[103],"with":[104,162,170],"multi-condition":[106],"constraint":[107],"reward":[108],"function.":[109],"A":[110],"hybrid":[111],"exploration":[112],"rate":[113],"adjustment":[114],"semi-gradient":[118],"designed":[121],"improve":[123],"training":[124],"efficiency.":[125],"Model":[126],"stability":[127],"enhanced":[129],"combination":[132],"soft":[134],"target":[135],"network":[136],"updates":[137],"prioritized":[140],"experience":[141],"replay":[142],"mechanism.":[143],"Simulation":[144],"results":[145],"demonstrate":[146],"that":[147],"possesses":[150],"strong":[151],"multi-objective":[152],"capabilities,":[154],"achieves":[155],"complete":[156],"coverage":[157],"effective":[160],"area":[161],"minimal":[163],"step":[164],"size,":[165],"automatically":[167],"avoids":[168],"obstacles":[169],"zero":[172],"repeated":[173],"This":[176],"provides":[177],"valuable":[179],"reference":[180],"for":[181],"development":[183],"decision-making":[187],"strategies.":[188]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}