308
Cheng, R. 1986. Variance reduction methods. Proceedings of the 1986 Winter Simulation Conference: 60–68.
de Freitas, M., Dimitrakopoulos, R. & Lamghari, A. 2015. Solving a large sip model for production scheduling at a gold mine with multiple processing streams and uncertain geology. Transactions of the Institutions of Mining and Metallurgy. Section A: Mining Technology 124: 24–33.
Deutsch, C. & Srinivasan, S. 1996. Improved reservoir management through ranking stochastic reservoir
models. In Proceedings of the SPE/DOE Improved Oil Recovery Symposium, Tulsa, OK, USA.
Deutsch, C. 2007. A review of geostatistical approaches for data fusion. In D. Hyndman, F. Day-Lewis &
K. Singha. (Eds.), Subsurface hydrology: data integration for properties and processes 171 of Geophysical
Monograph Series: 7–18.
Dimitrakopoulos, R., Farrelly, C.T. & Godoy, M. 2002. Moving forward from traditional optimization:
grade uncertainty and risk effects in open-pit design. Transactions of The Institution of Mining and Metallurgy, Section A: Mining Technology 111: 82–88.
Dupačová, J., Gröwe-Kuska, N. & Römisch, W. 2003. Scenario reduction in stochastic programming.
Mathematical programming 95(3): 493–511.
Goodfellow, R. & Dimitrakopoulos, R. 2016. Global optimization of open pit mining complexes with
uncertainty. Applied Soft Computing 40: 292–304.
Guthke, P. & Bárdossy, A. 2012. Reducing the number of MC runs with antithetic and common random
fields. Advances in Water Resources 43: 1–13.
Hammersley, J. & Morton, K. 1956. A new Monte Carlo technique: Antithetic variates. Mathematical Proceedings of the Cambridge Philosophical Society 52: 449–475.
Heitsch, H. & Römisch, W. 2003. Scenario reduction algorithms in stochastic programming. Computational
Optimization and Applications 24: 187–206.
Heitsch, H. & Römisch, W. 2009. Scenario tree modeling for multistage stochastic programs. Mathematical
Programming 118: 371–406.
James, B. 1985. Variance reduction techniques. The Journal of the Operational Research Society 36(6):
525–530.
Leite, A. & Dimitrakopoulos, R. 2014. Stochastic optimization of mine production scheduling with uncertain ore/metal/waste supply. International Journal of Mining Science and Technology 24: 755–762.
McLennan, J. and Deutsch, C. 2005. Ranking geostatistical realizations by measures connectivity. In Proceedings of the SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, Calgary, AB, Canada.
Nelis, G., Ortiz, J. & Morales, N. 2018. Antithetic random fields applied to mine planning under uncertainty. Computers & Geosciences 121: 23–29.
Pereira, F., Holden, T., Ibrahim, M. & Porto, E. 2017. Geostatistical reservoir characterization in barracuda
field, campos basin: A case study. In th International Congress of the Brazilian Geophysical Society, Rio
de Janeiro, Brazil,
Ramazan, S. & Dimitrakopoulos, R. 2007. Stochastic optimisation of long-term production scheduling for
open pit mines with a new integer programming formulation. The Australasian Institute of Mining and
Metallurgy, Spectrum Series 14: 359–365.
Smith, M. & Dimitrakopoulos, R. 1999. The influence of deposit uncertainty on mine production scheduling. International Journal of Surface Mining, Reclamation and Environment 13(4): 173–178.
Cheng, R. 1986. Variance reduction methods. Proceedings of the 1986 Winter Simulation Conference: 60–68.
de Freitas, M., Dimitrakopoulos, R. & Lamghari, A. 2015. Solving a large sip model for production scheduling at a gold mine with multiple processing streams and uncertain geology. Transactions of the Institutions of Mining and Metallurgy. Section A: Mining Technology 124: 24–33.
Deutsch, C. & Srinivasan, S. 1996. Improved reservoir management through ranking stochastic reservoir
models. In Proceedings of the SPE/DOE Improved Oil Recovery Symposium, Tulsa, OK, USA.
Deutsch, C. 2007. A review of geostatistical approaches for data fusion. In D. Hyndman, F. Day-Lewis &
K. Singha. (Eds.), Subsurface hydrology: data integration for properties and processes 171 of Geophysical
Monograph Series: 7–18.
Dimitrakopoulos, R., Farrelly, C.T. & Godoy, M. 2002. Moving forward from traditional optimization:
grade uncertainty and risk effects in open-pit design. Transactions of The Institution of Mining and Metallurgy, Section A: Mining Technology 111: 82–88.
Dupačová, J., Gröwe-Kuska, N. & Römisch, W. 2003. Scenario reduction in stochastic programming.
Mathematical programming 95(3): 493–511.
Goodfellow, R. & Dimitrakopoulos, R. 2016. Global optimization of open pit mining complexes with
uncertainty. Applied Soft Computing 40: 292–304.
Guthke, P. & Bárdossy, A. 2012. Reducing the number of MC runs with antithetic and common random
fields. Advances in Water Resources 43: 1–13.
Hammersley, J. & Morton, K. 1956. A new Monte Carlo technique: Antithetic variates. Mathematical Proceedings of the Cambridge Philosophical Society 52: 449–475.
Heitsch, H. & Römisch, W. 2003. Scenario reduction algorithms in stochastic programming. Computational
Optimization and Applications 24: 187–206.
Heitsch, H. & Römisch, W. 2009. Scenario tree modeling for multistage stochastic programs. Mathematical
Programming 118: 371–406.
James, B. 1985. Variance reduction techniques. The Journal of the Operational Research Society 36(6):
525–530.
Leite, A. & Dimitrakopoulos, R. 2014. Stochastic optimization of mine production scheduling with uncertain ore/metal/waste supply. International Journal of Mining Science and Technology 24: 755–762.
McLennan, J. and Deutsch, C. 2005. Ranking geostatistical realizations by measures connectivity. In Proceedings of the SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, Calgary, AB, Canada.
Nelis, G., Ortiz, J. & Morales, N. 2018. Antithetic random fields applied to mine planning under uncertainty. Computers & Geosciences 121: 23–29.
Pereira, F., Holden, T., Ibrahim, M. & Porto, E. 2017. Geostatistical reservoir characterization in barracuda
field, campos basin: A case study. In th International Congress of the Brazilian Geophysical Society, Rio
de Janeiro, Brazil,
Ramazan, S. & Dimitrakopoulos, R. 2007. Stochastic optimisation of long-term production scheduling for
open pit mines with a new integer programming formulation. The Australasian Institute of Mining and
Metallurgy, Spectrum Series 14: 359–365.
Smith, M. & Dimitrakopoulos, R. 1999. The influence of deposit uncertainty on mine production scheduling. International Journal of Surface Mining, Reclamation and Environment 13(4): 173–178.