{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T02:46:24Z","timestamp":1772765184215,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006374","name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","award":["RTI2018-096219-B-I00"],"award-info":[{"award-number":["RTI2018-096219-B-I00"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,4,24]]},"DOI":"10.1145\/3665065.3665068","type":"proceedings-article","created":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T12:21:46Z","timestamp":1722687706000},"page":"14-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Reinforcement Learning for Swarm Navigation Using Different Evolution Strategies"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6036-7733","authenticated-orcid":false,"given":"\u00c1lvaro","family":"D\u00edez","sequence":"first","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Alicante, Spain, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4521-956X","authenticated-orcid":false,"given":"Fidel","family":"Aznar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Alicante, Spain, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/HST56032.2022.10025435"},{"key":"e_1_3_2_1_2_1","unstructured":"Dor Bank Noam Koenigstein and Raja Giryes. 2021. Autoencoders. arXiv:2003.05991 [cs stat]."},{"key":"e_1_3_2_1_3_1","unstructured":"Joshua Bloom Apratim Mukherjee and Carlo Pinciroli. 2022. A study of reinforcement learning algorithms for aggregates of minimalistic robots. arXiv:2203.15129 [cs]."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628677"},{"key":"e_1_3_2_1_5_1","unstructured":"Nikolaus Hansen. 2023. The CMA evolution strategy: A tutorial. arXiv:1604.00772 [cs stat]."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2023.1134841"},{"key":"e_1_3_2_1_7_1","volume-title":"Advances in Neural Information Processing Systems, Vol.\u00a033. Curran Associates","author":"Lee Kyunghyun","unstructured":"Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, and In\u00a0So Kweon. 2020. An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search. In Advances in Neural Information Processing Systems, Vol.\u00a033. Curran Associates, Inc., New York, NY, USA, 10124\u201310135."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJIUS-06-2018-0016"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/NICS54270.2021.9701549"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010091220143"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.17577\/IJERTV4IS110303"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3248440"}],"event":{"name":"ISMSI 2024: 2024 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","location":"Singapore Singapore","acronym":"ISMSI 2024"},"container-title":["2024 8th International Conference on Intelligent Systems Metaheuristics &amp; Swarm Intelligence (ISMSI)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3665065.3665068","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3665065.3665068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:21:39Z","timestamp":1756236099000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3665065.3665068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,24]]},"references-count":12,"alternative-id":["10.1145\/3665065.3665068","10.1145\/3665065"],"URL":"https:\/\/doi.org\/10.1145\/3665065.3665068","relation":{},"subject":[],"published":{"date-parts":[[2024,4,24]]},"assertion":[{"value":"2024-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}