Source: ECOS 2017. Conference titles: International conference on efficiency, Cost, optimization and simulation and enviromental impact energy systems. Unidade: EP
Subjects: ALGORITMOS GENÉTICOS, ESTRUTURAS OFFSHORE FLUTUANTES, COMBUSTÍVEIS, PRÉ-SAL
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BIDGOLI, Ali Allahyarzadeh et al. Optimization of a Brazilian FPSO fuel consumption for petroleum composition with maximum oil and gas content using genetic algorithm method. 2018, Anais.. Red Hook, NY: Curran Associates, 2018. Disponível em: https://repositorio.usp.br/directbitstream/b0b53381-a1ae-4cc8-bdad-f18c9d288bc0/OliveiraJr-2018-Optimization%20of%20a%20Brazilian%20FPSO%20Fuel.pdf. Acesso em: 02 nov. 2024.APA
Bidgoli, A. A., Salviano, L. O., Oliveira Júnior, S. de, & Yanagihara, J. I. (2018). Optimization of a Brazilian FPSO fuel consumption for petroleum composition with maximum oil and gas content using genetic algorithm method. In ECOS 2017. Red Hook, NY: Curran Associates. Recuperado de https://repositorio.usp.br/directbitstream/b0b53381-a1ae-4cc8-bdad-f18c9d288bc0/OliveiraJr-2018-Optimization%20of%20a%20Brazilian%20FPSO%20Fuel.pdfNLM
Bidgoli AA, Salviano LO, Oliveira Júnior S de, Yanagihara JI. Optimization of a Brazilian FPSO fuel consumption for petroleum composition with maximum oil and gas content using genetic algorithm method [Internet]. ECOS 2017. 2018 ;[citado 2024 nov. 02 ] Available from: https://repositorio.usp.br/directbitstream/b0b53381-a1ae-4cc8-bdad-f18c9d288bc0/OliveiraJr-2018-Optimization%20of%20a%20Brazilian%20FPSO%20Fuel.pdfVancouver
Bidgoli AA, Salviano LO, Oliveira Júnior S de, Yanagihara JI. Optimization of a Brazilian FPSO fuel consumption for petroleum composition with maximum oil and gas content using genetic algorithm method [Internet]. ECOS 2017. 2018 ;[citado 2024 nov. 02 ] Available from: https://repositorio.usp.br/directbitstream/b0b53381-a1ae-4cc8-bdad-f18c9d288bc0/OliveiraJr-2018-Optimization%20of%20a%20Brazilian%20FPSO%20Fuel.pdf