Global optimization using a genetic algorithm with hierarchically structured population (2014)
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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TOLEDO, Claudio Fabiano Motta e OLIVEIRA, L e FRANÇA, Paulo Morelato. Global optimization using a genetic algorithm with hierarchically structured population. Journal of Computational and Applied Mathematics, v. 261, p. 341-351, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2013.11.008. Acesso em: 10 nov. 2025.APA
Toledo, C. F. M., Oliveira, L., & França, P. M. (2014). Global optimization using a genetic algorithm with hierarchically structured population. Journal of Computational and Applied Mathematics, 261, 341-351. doi:10.1016/j.cam.2013.11.008NLM
Toledo CFM, Oliveira L, França PM. Global optimization using a genetic algorithm with hierarchically structured population [Internet]. Journal of Computational and Applied Mathematics. 2014 ; 261 341-351.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.cam.2013.11.008Vancouver
Toledo CFM, Oliveira L, França PM. Global optimization using a genetic algorithm with hierarchically structured population [Internet]. Journal of Computational and Applied Mathematics. 2014 ; 261 341-351.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.cam.2013.11.008
