{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T07:35:28Z","timestamp":1780990528895,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T00:00:00Z","timestamp":1730160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["No.2022ZD0119703"],"award-info":[{"award-number":["No.2022ZD0119703"]}]},{"name":"the National Natural Science Foundations of China (NSFC)","award":["62273044 and 62022015"],"award-info":[{"award-number":["62273044 and 62022015"]}]},{"name":"the National Natural Science Foundation of China National Science Fund for Distinguished Young Scholars","award":["62025301"],"award-info":[{"award-number":["62025301"]}]},{"name":"the National Natural Science Foundation of China Basic Science Center Program","award":["62088101"],"award-info":[{"award-number":["62088101"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,29]]},"DOI":"10.1145\/3678717.3691249","type":"proceedings-article","created":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T06:29:21Z","timestamp":1732256961000},"page":"173-183","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Deep Reinforcement Learning for Multi-Period Facility Location pk-median Dynamic Location Problem"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7774-5864","authenticated-orcid":false,"given":"Changhao","family":"Miao","sequence":"first","affiliation":[{"name":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1908-6935","authenticated-orcid":false,"given":"Yuntian","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9257-1491","authenticated-orcid":false,"given":"Tongyu","family":"Wu","sequence":"additional","affiliation":[{"name":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1111-7285","authenticated-orcid":false,"given":"Fang","family":"Deng","sequence":"additional","affiliation":[{"name":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9354-6974","authenticated-orcid":false,"given":"Chen","family":"Chen","sequence":"additional","affiliation":[{"name":"National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing, China and School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,11,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996917"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"e_1_3_2_1_3_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2006.03.005"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100379"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(92)90211-Q"},{"key":"e_1_3_2_1_7_1","unstructured":"Gurobi Optimization LLC. 2023. Gurobi Optimizer Reference Manual. https:\/\/www.gurobi.com"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.12.3.450"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/07408179608966256"},{"key":"e_1_3_2_1_10_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014). https:\/\/api.semanticscholar.org\/CorpusID:6628106"},{"key":"e_1_3_2_1_11_1","volume-title":"C Daniel Gelatt Jr, and Mario P Vecchi","author":"Kirkpatrick Scott","year":"1983","unstructured":"Scott Kirkpatrick, C Daniel Gelatt Jr, and Mario P Vecchi. 1983. Optimization by simulated annealing. Science 220, 4598 (1983), 671--680."},{"key":"e_1_3_2_1_12_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Kool Wouter","year":"2019","unstructured":"Wouter Kool, Herke van Hoof, and Max Welling. 2019. Attention, Learn to Solve Routing Problems!. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019."},{"key":"e_1_3_2_1_13_1","volume-title":"Introduction to Location Science","author":"Laporte Gilbert","unstructured":"Gilbert Laporte, Stefan Nickel, and Francisco Saldanha-da Gama. 2019. Introduction to Location Science. Springer International Publishing, Cham, 1--21."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.14.4.699"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11050270"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2023.2299211"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.01.040"},{"key":"e_1_3_2_1_18_1","volume-title":"Multi-period facility location. Location Science","author":"Nickel Stefan","year":"2019","unstructured":"Stefan Nickel and Francisco Saldanha-da Gama. 2019. Multi-period facility location. Location Science (2019), 303--326."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(98)00186-6"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5577-0_51"},{"key":"e_1_3_2_1_21_1","volume-title":"N\u00e1dia P Kozievitch, Anderson A De-Bona, Jeferson L Curzel, Luciano U Pando, Olga M Prestes, and Ricardo L\u00fcders.","author":"Rosa Marcelo O","year":"2020","unstructured":"Marcelo O Rosa, Keiko VO Fonseca, N\u00e1dia P Kozievitch, Anderson A De-Bona, Jeferson L Curzel, Luciano U Pando, Olga M Prestes, and Ricardo L\u00fcders. 2020. Advances on urban mobility using innovative data-driven models. Handbook of Smart Cities (2020), 1--38."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2019.106171"},{"key":"e_1_3_2_1_23_1","volume-title":"Barto","author":"Sutton Richard S.","year":"2018","unstructured":"Richard S. Sutton and Andrew G. Barto. 2018. Reinforcement Learning: An Introduction (second ed.). The MIT Press. http:\/\/incompleteideas.net\/book\/the-book-2nd.html"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.16.5.955"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.28.10.1091"},{"key":"e_1_3_2_1_26_1","first-page":"5998","article-title":"Attention is All you Need","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems, Vol. 30. 5998--6008.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.07.061"},{"key":"e_1_3_2_1_28_1","volume-title":"Advances in Neural Information Processing Systems","volume":"28","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015. Pointer Networks. In Advances in Neural Information Processing Systems, Vol. 28."},{"key":"e_1_3_2_1_29_1","unstructured":"Shaohua Wang Haojian Liang Yang Zhong Xueyan Zhang and Cheng Su. 2023. DeepMCLP: Solving the MCLP with Deep Reinforcement Learning for Urban Spatial Computing. In UC Santa Barbara: Center for Spatial Studies."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3615892.3628479"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2021.102465"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.22.1.57"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.3390\/land11050680"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3638529.3654040"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.108565"}],"event":{"name":"SIGSPATIAL '24: The 32nd ACM International Conference on Advances in Geographic Information Systems","location":"Atlanta GA USA","acronym":"SIGSPATIAL '24","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3678717.3691249","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3678717.3691249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T10:38:14Z","timestamp":1755859094000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3678717.3691249"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,29]]},"references-count":36,"alternative-id":["10.1145\/3678717.3691249","10.1145\/3678717"],"URL":"https:\/\/doi.org\/10.1145\/3678717.3691249","relation":{},"subject":[],"published":{"date-parts":[[2024,10,29]]},"assertion":[{"value":"2024-11-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}