Fonte: International Journal of Hybrid Intelligent Systems. Unidade: FFCLRP
Assunto: CIÊNCIA DA COMPUTAÇÃO
ABNT
TINÓS, Renato e YANG, Sehngxiang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, v. 8, n. 3, p. 155-168, 2011Tradução . . Disponível em: https://doi.org/10.3233/his-2011-0136. Acesso em: 08 out. 2024.APA
Tinós, R., & Yang, S. (2011). Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8( 3), 155-168. doi:10.3233/his-2011-0136NLM
Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/his-2011-0136Vancouver
Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/his-2011-0136