{"id":"https://openalex.org/W4404611764","doi":"https://doi.org/10.1145/3678717.3691249","title":"Deep Reinforcement Learning for Multi-Period Facility Location pk-median Dynamic Location Problem","display_name":"Deep Reinforcement Learning for Multi-Period Facility Location pk-median Dynamic Location Problem","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404611764","doi":"https://doi.org/10.1145/3678717.3691249"},"language":"en","primary_location":{"id":"doi:10.1145/3678717.3691249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","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/A5102572830","display_name":"Changhao Miao","orcid":"https://orcid.org/0009-0009-7774-5864"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhao Miao","raw_affiliation_strings":["National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-7774-5864","affiliations":[{"raw_affiliation_string":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887615","display_name":"Yuntian Zhang","orcid":"https://orcid.org/0000-0003-1908-6935"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntian Zhang","raw_affiliation_strings":["National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1908-6935","affiliations":[{"raw_affiliation_string":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111102838","display_name":"Tongyu Wu","orcid":"https://orcid.org/0009-0003-9257-1491"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongyu Wu","raw_affiliation_strings":["National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9257-1491","affiliations":[{"raw_affiliation_string":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050766","display_name":"Fang Deng","orcid":"https://orcid.org/0000-0002-1111-7285"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Deng","raw_affiliation_strings":["National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1111-7285","affiliations":[{"raw_affiliation_string":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033253337","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0001-9354-6974"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9354-6974","affiliations":[{"raw_affiliation_string":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":5.6171,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95662774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9908999800682068,"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/T12288","display_name":"Optimization and Search Problems","score":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7550097107887268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882965326309204},{"id":"https://openalex.org/keywords/period","display_name":"Period (music)","score":0.5806105136871338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46977823972702026},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.46181026101112366},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33036571741104126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2355058193206787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14494258165359497},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08561468124389648}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7550097107887268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882965326309204},{"id":"https://openalex.org/C2781291010","wikidata":"https://www.wikidata.org/wiki/Q178580","display_name":"Period (music)","level":2,"score":0.5806105136871338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46977823972702026},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.46181026101112366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33036571741104126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2355058193206787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14494258165359497},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08561468124389648},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3678717.3691249","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678717.3691249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W775848880","https://openalex.org/W2009187298","https://openalex.org/W2024703208","https://openalex.org/W2041085006","https://openalex.org/W2044294446","https://openalex.org/W2045045217","https://openalex.org/W2102750402","https://openalex.org/W2119717200","https://openalex.org/W2122448542","https://openalex.org/W2136272408","https://openalex.org/W2144931885","https://openalex.org/W2157331557","https://openalex.org/W2559655401","https://openalex.org/W2564081693","https://openalex.org/W2747329762","https://openalex.org/W2789344326","https://openalex.org/W2990799246","https://openalex.org/W3048009761","https://openalex.org/W3097400948","https://openalex.org/W3136021864","https://openalex.org/W3197830172","https://openalex.org/W4224213880","https://openalex.org/W4225315528","https://openalex.org/W4385245566","https://openalex.org/W4385976946","https://openalex.org/W4389077985","https://openalex.org/W4390397349","https://openalex.org/W4400412125","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2590211375","https://openalex.org/W3029224032","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2003719999","https://openalex.org/W2024136090","https://openalex.org/W2293751504"],"abstract_inverted_index":{"Facility":[0],"location":[1,91,180],"is":[2,185],"a":[3,47,101],"crucial":[4],"aspect":[5],"of":[6,78,190],"spatial":[7,20],"optimization":[8],"with":[9],"broad":[10],"applications":[11],"in":[12,150],"urban":[13],"planning.":[14],"Specifically,":[15],"the":[16,75,82,88,96,106,113,118,134,144,194],"multi-period":[17,89,178],"problem":[18],"involves":[19],"and":[21,73,99,130,198],"temporal":[22,76,107,125],"information,":[23,126],"making":[24],"it":[25],"challenging":[26],"to":[27,56,84,87,104,123,146,156,187],"solve.":[28],"Existing":[29],"research":[30],"mainly":[31],"focuses":[32],"on":[33,38,51,170],"heuristic":[34,66],"methods,":[35,67],"which":[36],"depend":[37],"complex":[39],"hand-crafted":[40],"techniques.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,116,137],"propose":[46],"novel":[48],"method":[49,69,94,161,184],"based":[50],"Deep":[52],"Reinforcement":[53],"Learning":[54],"(DRL)":[55],"solve":[57],"pk-median":[58],"Dynamic":[59],"Location":[60],"Problem":[61],"(DLP-pk).":[62],"Different":[63],"from":[64,154],"classical":[65],"our":[68,160,183],"avoids":[70],"intricate":[71],"designs":[72],"considers":[74],"impacts":[77],"decisions.":[79],"We":[80],"are":[81],"first":[83],"apply":[85],"DRL":[86],"facility":[90,179],"problem.":[92],"Our":[93],"adopts":[95],"encoder-decoder":[97],"architecture":[98],"utilizes":[100],"specialized":[102],"structure":[103],"capture":[105,147],"features":[108],"across":[109],"different":[110],"periods.":[111],"On":[112,133],"one":[114],"hand,":[115,136],"introduce":[117],"Gated":[119],"Recurrent":[120],"Units":[121],"(GRU)":[122],"encode":[124],"including":[127],"dynamic":[128,131],"coverage":[129],"costs.":[132],"other":[135],"design":[138],"an":[139],"attention-based":[140],"decoder":[141],"that":[142,159],"allows":[143],"model":[145],"long-term":[148],"dependencies":[149],"decision-making.":[151],"Experimental":[152],"results":[153],"small-size":[155],"large-size":[157],"demonstrate":[158],"can":[162],"quickly":[163],"provide":[164],"high-quality":[165],"solutions":[166],"without":[167],"relying":[168],"heavily":[169],"expert":[171],"knowledge,":[172],"offering":[173],"opportunities":[174],"for":[175],"efficiently":[176],"solving":[177],"problems.":[181],"Additionally,":[182],"up":[186],"two":[188],"orders":[189],"magnitude":[191],"faster":[192],"than":[193],"exact":[195],"solver":[196],"Gurobi":[197],"demonstrates":[199],"great":[200],"generalization":[201],"abilities.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
