Genetic algorithms approaches for the production planning in the glass container industry (2017)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1145/3067695.3076071
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA; ALGORITMOS GENÉTICOS
- Keywords: Glass Container Industry; Mathematical Modeling; Production Planning; Meta-heuristics
- Language: Inglês
- Imprenta:
- Publisher: ACM
- Publisher place: New York, NY
- Date published: 2017
- Source:
- Título: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 10 fev. 2026. -
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:10.1145/3067695.3076071 -
NLM
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 2026 fev. 10 ] Available from: https://doi.org/10.1145/3067695.3076071 -
Vancouver
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 2026 fev. 10 ] Available from: https://doi.org/10.1145/3067695.3076071 - Evolutionary approaches to evolve AI scripts for a RTS game
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Informações sobre o DOI: 10.1145/3067695.3076071 (Fonte: oaDOI API)
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