{"id":"https://openalex.org/W4399254053","doi":"https://doi.org/10.1145/3656766.3656839","title":"A study of aeromedical emergency scheduling based on a collaborative difference algorithm improved by reinforcement learning","display_name":"A study of aeromedical emergency scheduling based on a collaborative difference algorithm improved by reinforcement learning","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4399254053","doi":"https://doi.org/10.1145/3656766.3656839"},"language":"en","primary_location":{"id":"doi:10.1145/3656766.3656839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059355028","display_name":"Lei Song","orcid":"https://orcid.org/0009-0004-8460-1926"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Song","raw_affiliation_strings":["Department of Computer Science, Chongqing University, China"],"raw_orcid":"https://orcid.org/0009-0004-8460-1926","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058338269","display_name":"Sisi Xiao","orcid":"https://orcid.org/0009-0003-8415-9325"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sisi Xiao","raw_affiliation_strings":["Department of Computer Science, Chongqing University, China"],"raw_orcid":"https://orcid.org/0009-0003-8415-9325","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011225081","display_name":"Longquan Liao","orcid":"https://orcid.org/0000-0002-0370-7111"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longquan Liao","raw_affiliation_strings":["Department of Computer Science, Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-0370-7111","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046208732","display_name":"W. C. Yan","orcid":"https://orcid.org/0009-0000-1233-1761"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Yan","raw_affiliation_strings":["Department of Computer Science, Chongqing University, China"],"raw_orcid":"https://orcid.org/0009-0000-1233-1761","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041459842","display_name":"Linjiang Zheng","orcid":"https://orcid.org/0000-0002-9180-2425"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjiang Zheng","raw_affiliation_strings":["Department of Computer Science, Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-9180-2425","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"428","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9923999905586243,"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"}},"topics":[{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9904000163078308,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/scheduling","display_name":"Scheduling (production processes)","score":0.6564697027206421},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.642417311668396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6134744882583618},{"id":"https://openalex.org/keywords/emergency-rescue","display_name":"Emergency rescue","score":0.6083720922470093},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.47821280360221863},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.4693763256072998},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23666056990623474},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.21002629399299622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20534676313400269},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.09743800759315491},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09534314274787903}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6564697027206421},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.642417311668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134744882583618},{"id":"https://openalex.org/C3020384686","wikidata":"https://www.wikidata.org/wiki/Q814610","display_name":"Emergency rescue","level":2,"score":0.6083720922470093},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.47821280360221863},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.4693763256072998},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23666056990623474},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.21002629399299622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20534676313400269},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.09743800759315491},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09534314274787903},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3656766.3656839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3048951355","https://openalex.org/W3115826427","https://openalex.org/W3136290055","https://openalex.org/W3198682165","https://openalex.org/W4230846739"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2025955409","https://openalex.org/W1577301438"],"abstract_inverted_index":{"With":[0],"the":[1,33,47,63,75,92,96,103,107,112,115,129,137,146,155,160,168],"increasing":[2],"frequency":[3],"of":[4,7,49,55,74,94,106,114],"random":[5],"occurrence":[6],"large":[8],"natural":[9],"disasters,":[10],"aeromedical":[11,88,98],"emergency":[12,51,89],"rescue":[13,27,76,99,108,116],"has":[14],"gradually":[15],"become":[16],"a":[17,82],"major":[18],"hot":[19],"spot":[20],"in":[21,32,151,163],"today's":[22],"society.":[23],"Timely":[24],"and":[25,38,70,110,139,148,154],"efficient":[26],"can":[28,166],"save":[29],"more":[30,37,39],"lives":[31],"golden":[34],"moment,":[35],"so":[36],"scholars":[40],"have":[41],"launched":[42],"an":[43,121],"in-depth":[44],"study":[45],"on":[46,128],"scheduling":[48,65,85,169],"aviation":[50],"resources.":[52],"The":[53],"purpose":[54],"this":[56,79,119,152,164],"paper":[57,80,165],"is":[58,133],"to":[59,135,144],"reasonably":[60],"plan":[61,170],"out":[62],"aircraft":[64],"programme":[66],"under":[67],"large-scale":[68],"disasters":[69],"make":[71],"full":[72],"use":[73],"materials.":[77],"Therefore,":[78],"establishes":[81],"hierarchical":[83],"collaborative":[84],"model":[86,147],"for":[87],"rescue,":[90],"with":[91],"objectives":[93],"minimising":[95],"total":[97,104],"time":[100],"cost,":[101],"maximising":[102,111],"utility":[105],"mission":[109],"satisfaction":[113],"mission.":[117],"In":[118],"paper,":[120,153],"improved":[122],"differential":[123],"algorithm":[124,149],"(RL-DE":[125],"algorithm)":[126],"based":[127],"reinforcement":[130],"learning":[131],"framework":[132],"proposed":[134,150,162],"solve":[136],"model,":[138],"simulated":[140],"data":[141],"are":[142],"used":[143],"prove":[145],"experimental":[156],"results":[157],"show":[158],"that":[159],"method":[161],"generate":[167],"better.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}