Przewozniczek, Michal Witold; Tinós, Renato 
; Frej, Bartosz; Komarnicki, Marcin Michal
Source: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22). Conference titles: The Genetic and Evolutionary Computation Conference (GECCO '22). Unidade: FFCLRP
Subjects: ALGORITMOS GENÉTICOS, ANÁLISE REAL, GRAFOS ALEATÓRIOS
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PRZEWOZNICZEK, Michal Witold et al. On turning black: into dark gray-optimization with the direct empirical linkage discovery and partition crossover. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22). New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1145/3512290.3528734. Acesso em: 17 fev. 2026. , 2022APA
Przewozniczek, M. W., Tinós, R., Frej, B., & Komarnicki, M. M. (2022). On turning black: into dark gray-optimization with the direct empirical linkage discovery and partition crossover. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22). New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1145/3512290.3528734NLM
Przewozniczek MW, Tinós R, Frej B, Komarnicki MM. On turning black: into dark gray-optimization with the direct empirical linkage discovery and partition crossover [Internet]. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22). 2022 ; 269-277.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1145/3512290.3528734Vancouver
Przewozniczek MW, Tinós R, Frej B, Komarnicki MM. On turning black: into dark gray-optimization with the direct empirical linkage discovery and partition crossover [Internet]. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22). 2022 ; 269-277.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1145/3512290.3528734
