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Artigo de periodico
A granular local search matheuristic for a heterogeneous fleet vehicle routing problem with stochastic travel times (2022)
Fachini, Ramon Faganello ; Armentano, Vinícius Amaral ; Toledo, Franklina Maria Bragion de
Fonte: Networks and Spatial Economics. Unidade: ICMC
Assuntos: PROGRAMAÇÃO ESTOCÁSTICA, DISTRIBUIÇÕES (PROBABILIDADE), BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACHINI, Ramon Faganello e ARMENTANO, Vinícius Amaral e TOLEDO, Franklina Maria Bragion de. A granular local search matheuristic for a heterogeneous fleet vehicle routing problem with stochastic travel times. Networks and Spatial Economics, v. 22, p. 33-64, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11067-021-09553-6. Acesso em: 09 nov. 2025.
APA
Fachini, R. F., Armentano, V. A., & Toledo, F. M. B. de. (2022). A granular local search matheuristic for a heterogeneous fleet vehicle routing problem with stochastic travel times. Networks and Spatial Economics, 22, 33-64. doi:10.1007/s11067-021-09553-6
NLM
Fachini RF, Armentano VA, Toledo FMB de. A granular local search matheuristic for a heterogeneous fleet vehicle routing problem with stochastic travel times [Internet]. Networks and Spatial Economics. 2022 ; 22 33-64.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s11067-021-09553-6
Vancouver
Fachini RF, Armentano VA, Toledo FMB de. A granular local search matheuristic for a heterogeneous fleet vehicle routing problem with stochastic travel times [Internet]. Networks and Spatial Economics. 2022 ; 22 33-64.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s11067-021-09553-6
Artigo de periodico
Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming (2019)
Koppa, Akash ; Gebremichael, Mekonnen ; Zambon, Renato Carlos ; Yeh, William W-G. ; Hopson, Thomas M.
Fonte: Water Resources Research. Unidade: EP
Assuntos: PLANEJAMENTO ENERGÉTICO, RESERVATÓRIOS, PROGRAMAÇÃO ESTOCÁSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KOPPA, Akash et al. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming. Water Resources Research, v. No 2019, n. 11 p. 8583-8607, 2019Tradução . . Disponível em: https://doi.org/10.1029/2019WR025228. Acesso em: 09 nov. 2025.
APA
Koppa, A., Gebremichael, M., Zambon, R. C., Yeh, W. W. -G., & Hopson, T. M. (2019). Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming. Water Resources Research, No 2019( 11 p. 8583-8607). doi:10.1029/2019WR025228
NLM
Koppa A, Gebremichael M, Zambon RC, Yeh WW-G, Hopson TM. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming [Internet]. Water Resources Research. 2019 ; No 2019( 11 p. 8583-8607):[citado 2025 nov. 09 ] Available from: https://doi.org/10.1029/2019WR025228
Vancouver
Koppa A, Gebremichael M, Zambon RC, Yeh WW-G, Hopson TM. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming [Internet]. Water Resources Research. 2019 ; No 2019( 11 p. 8583-8607):[citado 2025 nov. 09 ] Available from: https://doi.org/10.1029/2019WR025228
Artigo de periodico
On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors (2018)
Birgin, Ernesto Julian Goldberg ; Krejic, N; Martínez, J. M
Fonte: Mathematics of Computation. Unidade: IME
Assuntos: PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO, PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO ESTOCÁSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e KREJIC, N e MARTÍNEZ, J. M. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, v. 87, n. 311, p. 1307-1326, 2018Tradução . . Disponível em: https://doi.org/10.1090/mcom/3246. Acesso em: 09 nov. 2025.
APA
Birgin, E. J. G., Krejic, N., & Martínez, J. M. (2018). On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, 87( 311), 1307-1326. doi:10.1090/mcom/3246
NLM
Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1090/mcom/3246
Vancouver
Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1090/mcom/3246

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