Genetic algorithms approaches for the production planning in the glass container industry (2017)
Amorim, Flaviana Moreira S; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta 
; Frisch, Pierre Eric; Arantes, Jesimar da Silva; Almada-Lobo, Bernardo
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, ALGORITMOS GENÉTICOS
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AMORIM, Flaviana Moreira S et al. Genetic algorithms approaches for the production planning in the glass container industry. 2017, Anais.. New York, NY: ACM, 2017. Disponível em: https://doi.org/10.1145/3067695.3076071. Acesso em: 13 nov. 2024.APA
Amorim, F. M. S., Arantes, M. da S., Toledo, C. F. M., Frisch, P. E., Arantes, J. da S., & Almada-Lobo, B. (2017). Genetic algorithms approaches for the production planning in the glass container industry. In Proceedings. New York, NY: ACM. doi:10.1145/3067695.3076071NLM
Amorim FMS, Arantes M da S, Toledo CFM, Frisch PE, Arantes J da S, Almada-Lobo B. Genetic algorithms approaches for the production planning in the glass container industry [Internet]. Proceedings. 2017 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3067695.3076071Vancouver
Amorim FMS, Arantes M da S, Toledo CFM, Frisch PE, Arantes J da S, Almada-Lobo B. Genetic algorithms approaches for the production planning in the glass container industry [Internet]. Proceedings. 2017 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3067695.3076071
