{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T21:41:32Z","timestamp":1767908492631,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T00:00:00Z","timestamp":1698364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,27]]},"DOI":"10.1145\/3640912.3640995","type":"proceedings-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T13:37:41Z","timestamp":1708609061000},"page":"425-431","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Energy-Based Electric Logistics Vehicle Driving Route and V2V Charging Optimization Algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6411-8679","authenticated-orcid":false,"given":"Yanyu","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Henan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3723-2089","authenticated-orcid":false,"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4327-2067","authenticated-orcid":false,"given":"Zihao","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0155-633X","authenticated-orcid":false,"given":"Feixiang","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7657-6100","authenticated-orcid":false,"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Henan University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,2,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3071319"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3069942"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971220"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.070"},{"key":"e_1_3_2_1_5_1","volume-title":"Partial recharge strategies for the electric vehicle routing problem with time windows [J]. Transportation research part C: emerging technologies","year":"2016","unstructured":"KESKIN M, \u00c7ATAY B. Partial recharge strategies for the electric vehicle routing problem with time windows [J]. Transportation research part C: emerging technologies, 2016, 65: 111-127."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003000"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3214680"},{"key":"e_1_3_2_1_8_1","volume-title":"Guiding Opinions of the State Council General Office on Further Constructing a High-Quality Charging Infrastructure System [EB\/OL]","author":"State Council General Office.","year":"2023","unstructured":"State Council General Office. Guiding Opinions of the State Council General Office on Further Constructing a High-Quality Charging Infrastructure System [EB\/OL]. 2023, 06, 19, 2023, 07, 15. https:\/\/www.gov.cn\/zhengce\/content\/202306\/content_6887167.htm?pc"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"NEZAMUDDIN O N NICHOLAS C L DOS SANTOS E C. The problem of electric vehicle charging: State-of-the-art and an innovative solution [J]. IEEE Transactions on Intelligent Transportation Systems 2021.","DOI":"10.1109\/TITS.2020.3048728"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.04.008"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955927"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Global EV Outlook 2020 IEA Paris France. [EB\/OL]. 2020 2023 07 15. https:\/\/www.iea.org\/ reports\/global-ev-outlook-2020.","DOI":"10.1002\/wow3.158"},{"key":"e_1_3_2_1_13_1","volume-title":"Research on Route planning of electric logistics vehicle considering cargo weight [D]","year":"2018","unstructured":"SHEN X C. Research on Route planning of electric logistics vehicle considering cargo weight [D]. Chongqing University, 2018."},{"issue":"24","key":"e_1_3_2_1_14_1","first-page":"111","article-title":"Low-voltage Power Line Communication Networking and Maintenance Based on Improved Q Learning Algorithm [J]","volume":"43","year":"2019","unstructured":"CUI Y, LIU X S, XU D G. Low-voltage Power Line Communication Networking and Maintenance Based on Improved Q Learning Algorithm [J]. Automation of Electric Power Systems, 2019, 43(24):111-118.","journal-title":"Automation of Electric Power Systems"},{"issue":"03","key":"e_1_3_2_1_15_1","first-page":"727","article-title":"Multi-objective Optimal Configuration of FACTS Equipment Based on Improved Differential Harmony Search Algorithm [J]","volume":"38","year":"2018","unstructured":"ZHANG T, XU X Q, RAN H J. Multi-objective Optimal Configuration of FACTS Equipment Based on Improved Differential Harmony Search Algorithm [J]. Proceedings of the CSEE, 2018, 38(03):727-734.","journal-title":"Proceedings of the CSEE"},{"key":"e_1_3_2_1_16_1","volume-title":"Algorithms for the vehicle routing and scheduling problems with time window constraints [J]. Operations research","author":"Solomon MM.","year":"1987","unstructured":"Solomon MM. Algorithms for the vehicle routing and scheduling problems with time window constraints [J]. Operations research, 1987, 35(2): 254-265."}],"event":{"name":"CNML 2023: 2023 International Conference on Communication Network and Machine Learning","location":"Zhengzhou China","acronym":"CNML 2023"},"container-title":["Proceedings of the 2023 International Conference on Communication Network and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640912.3640995","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640912.3640995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:47:04Z","timestamp":1755874024000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640912.3640995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,27]]},"references-count":16,"alternative-id":["10.1145\/3640912.3640995","10.1145\/3640912"],"URL":"https:\/\/doi.org\/10.1145\/3640912.3640995","relation":{},"subject":[],"published":{"date-parts":[[2023,10,27]]},"assertion":[{"value":"2024-02-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}