{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T14:38:18Z","timestamp":1775831898326,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,14]]},"DOI":"10.1145\/3712255.3726614","type":"proceedings-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T15:14:02Z","timestamp":1754925242000},"page":"667-670","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Bi-Level Hybrid Genetic Algorithm Enhanced with Multiple Reinforcement Learning Methods for EV Charging Scheduling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2460-3140","authenticated-orcid":false,"given":"Abdennour","family":"Azerine","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Haute-Alsace, Mulhouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3314-2051","authenticated-orcid":false,"given":"Mahmoud","family":"Golabi","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Haute-Alsace, Mulhouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8853-3968","authenticated-orcid":false,"given":"Lhassane","family":"Idoumghar","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Haute-Alsace, Mulhouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"ACEA. 2024. Automotive Insights - Charging ahead: accelerating the rollout of EU electric vehicle charging infrastructure. https:\/\/www.acea.auto\/publication\/automotive-insights-charging-ahead-accelerating-the-rollout-of-eu-electric-vehicle-charging-infrastructure\/Accessed on 4 December 2024."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3638530.3654303"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC60901.2024.10611957"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CoDIT62066.2024.10708620"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2023.113518"},{"key":"e_1_3_2_1_6_1","volume-title":"Advances in neural information processing systems 23","author":"Hasselt Hado","year":"2010","unstructured":"Hado Hasselt. 2010. Double Q-learning. Advances in neural information processing systems 23 (2010)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.12.140"},{"key":"e_1_3_2_1_8_1","unstructured":"Gavin Maguire. 2024. Slow charge point rollout risks stalling US EV sales momentum. https:\/\/www.reuters.com\/markets\/commodities\/slow-charge-point-rollout-risks-stalling-us-ev-sales-momentum-maguire-2024-10-09\/?utm_source=chatgpt.com Accessed on 4 December 2024."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIoT48696.2020.9089471"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2022.100986"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/551283"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2950809"},{"key":"e_1_3_2_1_13_1","volume-title":"Machine learning 8","author":"Watkins Christopher JCH","year":"1992","unstructured":"Christopher JCH Watkins and Peter Dayan. 1992. Q-learning. Machine learning 8 (1992), 279\u2013292."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72904-2_14"},{"key":"e_1_3_2_1_15_1","volume-title":"Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem. In International Conference on Artificial Evolution (Evolution Artificielle). Springer, 89\u2013102","author":"Zaidi Imene","year":"2022","unstructured":"Imene Zaidi, Ammar Oulamara, Lhassane Idoumghar, and Michel Basset. 2022. Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem. In International Conference on Artificial Evolution (Evolution Artificielle). Springer, 89\u2013102."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103698"}],"event":{"name":"GECCO '25 Companion: Genetic and Evolutionary Computation Conference Companion","location":"NH Malaga Hotel Malaga Spain","acronym":"GECCO '25 Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712255.3726614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T11:46:25Z","timestamp":1759837585000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3712255.3726614"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,14]]},"references-count":16,"alternative-id":["10.1145\/3712255.3726614","10.1145\/3712255"],"URL":"https:\/\/doi.org\/10.1145\/3712255.3726614","relation":{},"subject":[],"published":{"date-parts":[[2025,7,14]]},"assertion":[{"value":"2025-08-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}