{"id":"https://openalex.org/W7117766330","doi":"https://doi.org/10.1109/tits.2025.3641646","title":"A Deep Reinforcement Learning-Based Hyper-Heuristic for Time-Dependent Green Logistics With Crowdsourcing","display_name":"A Deep Reinforcement Learning-Based Hyper-Heuristic for Time-Dependent Green Logistics With Crowdsourcing","publication_year":2025,"publication_date":"2025-12-31","ids":{"openalex":"https://openalex.org/W7117766330","doi":"https://doi.org/10.1109/tits.2025.3641646"},"language":null,"primary_location":{"id":"doi:10.1109/tits.2025.3641646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3641646","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","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/A5102219351","display_name":"Tang Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chu Tang","raw_affiliation_strings":["Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0008-0930-5325","affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761","https://openalex.org/I2800091995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102337485","display_name":"Qu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Wei","raw_affiliation_strings":["Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4922-676X","affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761","https://openalex.org/I2800091995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049432232","display_name":"Jingbin He","orcid":"https://orcid.org/0000-0001-5792-7390"},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbin He","raw_affiliation_strings":["School of Finance, Southwestern University of Finance and Economics, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5792-7390","affiliations":[{"raw_affiliation_string":"School of Finance, Southwestern University of Finance and Economics, Chengdu, China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087754861","display_name":"Guido Perboli","orcid":"https://orcid.org/0000-0001-6900-9917"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Perboli","raw_affiliation_strings":["Department of Management and Production Engineering (DIGEP), Politecnico di Torino, Turin, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6900-9917","affiliations":[{"raw_affiliation_string":"Department of Management and Production Engineering (DIGEP), Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121681501","display_name":"Hu Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Qin","raw_affiliation_strings":["School of Management, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4794-2807","affiliations":[{"raw_affiliation_string":"School of Management, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121640215","display_name":"Kang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8136-9816","affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, West China Biomedical Big Data Center, West China Hospital, and the Med-X Center for Informatics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761","https://openalex.org/I2800091995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102219351"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I2800091995","https://openalex.org/I4210089761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60784899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"4","first_page":"4766","last_page":"4781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.5978999733924866,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.5978999733924866,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.20149999856948853,"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"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.02500000037252903,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6784999966621399},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5566999912261963},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5490000247955322},{"id":"https://openalex.org/keywords/delivery-performance","display_name":"Delivery Performance","score":0.43720000982284546},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43630000948905945},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3901999890804291},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.38960000872612},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.3783999979496002},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.34439998865127563}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6784999966621399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255999803543091},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C2777386808","wikidata":"https://www.wikidata.org/wiki/Q5254078","display_name":"Delivery Performance","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.3783999979496002},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3012999892234802},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3641646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3641646","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4975584149360657,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,88],"rapid":[1],"growth":[2],"of":[3,9,141,174,191],"e-commerce":[4],"has":[5],"increased":[6],"the":[7,56,74,95,99,110,127,137,142,154,168,175,189,192,197],"complexity":[8],"supply":[10],"chain":[11],"management,":[12],"particularly":[13],"in":[14,186],"urban":[15],"logistics":[16],"where":[17],"efficiency":[18,170],"and":[19,51,83,94,106,113,150,160,171],"sustainability":[20],"are":[21,120],"critical":[22],"concerns.":[23],"In":[24,126,195],"response,":[25],"this":[26],"study":[27],"proposes":[28],"a":[29,65,182],"selection":[30,93,112],"hyper-heuristic":[31],"framework":[32],"for":[33],"time-dependent":[34],"green":[35],"logistics,":[36],"incorporating":[37],"key":[38],"factors":[39],"such":[40],"as":[41],"economic":[42],"costs,":[43],"carbon":[44],"emissions,":[45],"rider":[46],"types,":[47],"real-time":[48],"traffic":[49],"conditions,":[50],"time-window":[52],"constraints.":[53],"To":[54],"address":[55],"complexities":[57],"introduced":[58],"by":[59],"these":[60],"real-world":[61,183],"factors,":[62],"we":[63,130],"design":[64],"two-layer":[66],"distribution":[67,78],"model":[68,199],"with":[69],"crowdsourced":[70],"delivery":[71,96,128],"that":[72],"covers":[73],"flow":[75],"from":[76],"city":[77],"centers":[79],"to":[80,85,122,135,204],"regional":[81],"hubs":[82],"ultimately":[84],"end":[86],"customers.":[87],"first":[89],"layer":[90,101,140],"involves":[91],"location":[92,111],"process,":[97,129],"while":[98],"second":[100],"focuses":[102],"on":[103,181],"order":[104,114],"allocation":[105,115],"last-mile":[107],"delivery.":[108],"For":[109],"problems,":[116],"exact":[117],"optimization":[118],"models":[119],"developed":[121],"obtain":[123],"high-quality":[124],"solutions.":[125],"integrate":[131],"Deep":[132],"Reinforcement":[133],"Learning":[134],"replace":[136],"traditional":[138,161],"adaptive":[139],"Adaptive":[143],"Large":[144],"Neighborhood":[145],"Search":[146],"algorithm,":[147],"enabling":[148],"dynamic":[149],"intelligent":[151],"adjustments":[152],"during":[153],"search.":[155],"Comparative":[156],"analyses":[157],"against":[158],"existing":[159],"methods":[162],"across":[163],"various":[164,205],"benchmark":[165],"instances":[166],"demonstrate":[167],"superior":[169],"solution":[172],"quality":[173],"proposed":[176,193],"framework.":[177,194],"Simulation":[178],"experiments":[179],"based":[180],"road":[184],"network":[185],"China":[187],"validate":[188],"effectiveness":[190],"addition,":[196],"well-trained":[198],"can":[200],"be":[201],"directly":[202],"applied":[203],"scenarios,":[206],"highlighting":[207],"its":[208],"strong":[209],"generalization":[210],"capability.":[211]},"counts_by_year":[],"updated_date":"2026-04-14T06:02:45.956762","created_date":"2025-12-31T00:00:00"}
