{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:49Z","timestamp":1750309369088,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T00:00:00Z","timestamp":1720915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["309744\/2022-9"],"award-info":[{"award-number":["309744\/2022-9"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Apoio \u00e0 Ci\u00eancia (FAPERJ)","award":["E-26\/010.001415\/2019","E-26\/211.357\/2021","E-26\/200.608\/2022","E-26\/210.372\/2022","E-26\/200.393\/2023"],"award-info":[{"award-number":["E-26\/010.001415\/2019","E-26\/211.357\/2021","E-26\/200.608\/2022","E-26\/210.372\/2022","E-26\/200.393\/2023"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,14]]},"DOI":"10.1145\/3638530.3664159","type":"proceedings-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T14:54:43Z","timestamp":1722524083000},"page":"1623-1630","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Generative Evolutionary Many-Objective Framework: A Case Study in Antimicrobial Agent Design"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0659-6365","authenticated-orcid":false,"given":"Matheus Muller Pereira","family":"Da Silva","sequence":"first","affiliation":[{"name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica (LNCC\/MCTI), Petr\u00f3polis, RJ, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2926-1971","authenticated-orcid":false,"given":"Jaqueline Silva","family":"Angelo","sequence":"additional","affiliation":[{"name":"Funda\u00e7\u00e3o Oswaldo Cruz (Fiocruz), Petr\u00f3polis, RJ, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9761-4804","authenticated-orcid":false,"given":"Isabella Alvim","family":"Guedes","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica (LNCC\/MCTI), Petr\u00f3polis, RJ, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8518-8062","authenticated-orcid":false,"given":"Laurent Emmanuel","family":"Dardenne","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica (LNCC\/MCTI), Petr\u00f3polis, RJ, Brazil"}]}],"member":"320","published-online":{"date-parts":[[2024,8]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystems.2022.104790"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fchem.2023.1288626"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Mostapha Benhenda. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?","DOI":"10.1101\/292177"},{"key":"e_1_3_2_2_4_1","volume-title":"Quantifying the chemical beauty of drugs. Nature chemistry 4, 2","author":"Bickerton G Richard","year":"2012","unstructured":"G Richard Bickerton, Gaia V Paolini, J\u00e9r\u00e9my Besnard, Sorel Muresan, and Andrew L Hopkins. 2012. Quantifying the chemical beauty of drugs. Nature chemistry 4, 2 (2012), 90--98."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/wcms.1608"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2990567"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00723"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.11.044"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25263-1_2"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.09.042"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/1758-2946-1-8"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2006.1688440"},{"key":"e_1_3_2_2_15_1","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"Goldberg David E.","unstructured":"David E. Goldberg. 1989. Genetic Algorithms in Search, Optimization and Machine Learning (1st edition ed.). Addison-Wesley Professional, Boston, MA, United States.","edition":"1"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2022.3155308"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmb.2024.168548"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aim.2004.05.006"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1288\/1\/012057"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281534"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525387"},{"key":"e_1_3_2_2_22_1","unstructured":"Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. 14 pages."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/17460441.2021.1867095"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbi.2023.102537"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC55065.2022.9870421"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms22041676"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1021\/ci800308h"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2020.565644"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.910138"},{"volume-title":"Design Perspectives of an Evolutionary Process for Multi-objective Molecular Optimization","author":"Rosenthal Susanne","key":"e_1_3_2_2_30_1","unstructured":"Susanne Rosenthal and Markus Borschbach. 2017. Design Perspectives of an Evolutionary Process for Multi-objective Molecular Optimization. In Evolutionary Multi-Criterion Optimization, Heike Trautmann, G\u00fcnter Rudolph, Kathrin Klamroth, Oliver Sch\u00fctze, Margaret Wiecek, Yaochu Jin, and Christian Grimme (Eds.). Springer International Publishing, Cham, 529--544."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/tee.23796"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/anie.201814681"},{"volume-title":"Applications of Evolutionary Computation, Pedro A","author":"Sousa Tiago","key":"e_1_3_2_2_33_1","unstructured":"Tiago Sousa, Jo\u00e3o Correia, Vitor Pereira, and Miguel Rocha. 2021. Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design. In Applications of Evolutionary Computation, Pedro A. Castillo and Juan Luis Jim\u00e9nez Laredo (Eds.). Springer International Publishing, Cham, 81--96."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c00247"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1267"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbi.2021.10.001"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.810758"}],"event":{"name":"GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Melbourne VIC Australia","acronym":"GECCO '24 Companion"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638530.3664159","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638530.3664159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:12Z","timestamp":1750291572000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638530.3664159"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,14]]},"references-count":39,"alternative-id":["10.1145\/3638530.3664159","10.1145\/3638530"],"URL":"https:\/\/doi.org\/10.1145\/3638530.3664159","relation":{},"subject":[],"published":{"date-parts":[[2024,7,14]]},"assertion":[{"value":"2024-08-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}