{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T21:28:33Z","timestamp":1786656513225,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Council for Scientific and Technological Development (CNPq)"},{"name":"National Fund for Scientific and Technological Development (FNDCT) of the Ministry of Science, Technology and Innovations (MCTI), Brazil","award":["07826\/2022-0"],"award-info":[{"award-number":["07826\/2022-0"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,13]]},"DOI":"10.1145\/3795101.3805362","type":"proceedings-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:45:38Z","timestamp":1786653938000},"page":"269-272","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Objective Genetic Algorithm Optimization of Offshore Wind Farm Layout, Substation Placement, and Cable Grouping"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6519-2601","authenticated-orcid":false,"given":"Italo","family":"da Silva","sequence":"first","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Ararangu\u00e1, Brazil"},{"name":"italo.silva@grad.ufsc.br, Ararangu\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4203-8013","authenticated-orcid":false,"given":"Guilherme","family":"Trajano","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Ararangu\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4912-1519","authenticated-orcid":false,"given":"Lenon","family":"Schmitz","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Florian\u00f3polis, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8598-8641","authenticated-orcid":false,"given":"Telles B","family":"Lazzarin","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Florian\u00f3polis, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8743-5757","authenticated-orcid":false,"given":"Tamiris Grossl","family":"Bade","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Joinville, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0115-8393","authenticated-orcid":false,"given":"Wilian","family":"Cominn","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Joinville, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9438-5508","authenticated-orcid":false,"given":"Alison R","family":"Panisson","sequence":"additional","affiliation":[{"name":"Federal University of Santa Catarina (UFSC), Ararangu\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Nicholas F. Baker Andrew P. Stanley Jared J. Thomas Andrew Ning and Katherine Dykes. 2019. Best practices for wake model and optimization algorithm selection in wind farm layout optimization. In AIAA Scitech 2019 Forum. 0540. Defines the IEA Task 37 benchmark cases.. 10.2514\/6.2019-0540","DOI":"10.2514\/6.2019-0540"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2014.01.002"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3614516"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2015.7172266"},{"key":"e_1_3_2_1_6_1","volume-title":"Haupt and Sue Ellen Haupt","author":"Randy","year":"2004","unstructured":"Randy L. Haupt and Sue Ellen Haupt. 2004. Practical Genetic Algorithms (2nd ed.). John Wiley & Sons. Essential for justifying continuous-parameter encoding in hybrid optimization.."},{"key":"e_1_3_2_1_7_1","unstructured":"N. O. Jensen. 1983. A note on wind generator interaction. Technical Report Ris\u00f8-M-2411. Ris\u00f8 National Laboratory Roskilde Denmark."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2025.126383"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124668"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5370\/KIEE.2015.64.7.984"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","author":"Silva Italo Firmino","unstructured":"Italo Firmino Silva, Telles B. Lazzarin, Lenon Schmitz, and Alison R. Panisson. 2025. Optimizing Wind Farm Project Assessments Using Genetic Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (Malaga, Spain) (GECCO '25 Companion). Association for Computing Machinery, New York, NY, USA, 811\u2013814."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2025.07.069"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"L. Wang J. Wu et al. 2019. An integration optimization method for power collection systems of offshore wind farms. Energies 12 (2019).","DOI":"10.3390\/en12203965"}],"event":{"name":"GECCO '26 Companion: Genetic and Evolutionary Computation Conference Companion","location":"Centro Internacional de Convenciones CIC-ANDE San Jose Costa Rica","acronym":"GECCO '26 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\/3795101.3805362","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:48:08Z","timestamp":1786654088000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3795101.3805362"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":13,"alternative-id":["10.1145\/3795101.3805362","10.1145\/3795101"],"URL":"https:\/\/doi.org\/10.1145\/3795101.3805362","relation":{},"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"2026-08-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}