Gaspar-Cunha, António 
; Costa, Paulo; Monaco, Francisco José ; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: Thematic Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control - EUROGEN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, ANÁLISE DE DESEMPENHO
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GASPAR-CUNHA, António et al. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach. 2023, Anais.. Barcelona: ECCOMAS, 2023. Disponível em: https://doi.org/10.7712/140123.10205.18861. Acesso em: 04 jun. 2024.APA
Gaspar-Cunha, A., Costa, P., Monaco, F. J., & Delbem, A. C. B. (2023). Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach. In Proceedings. Barcelona: ECCOMAS. doi:10.7712/140123.10205.18861NLM
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach [Internet]. Proceedings. 2023 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.7712/140123.10205.18861Vancouver
Gaspar-Cunha A, Costa P, Monaco FJ, Delbem ACB. Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach [Internet]. Proceedings. 2023 ;[citado 2024 jun. 04 ] Available from: https://doi.org/10.7712/140123.10205.18861
