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In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
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Adrien Rimélé, M., Dimitrakopoulos, R., & Gamache, M. (2018). A stochastic optimization method with in-pit waste and tailings disposal for open pit life-of-mine production planning. Resources, 57, 112-121. Available
Brika, Z., Gamache, M., & Dimitrakopoulos, R. (2023). Optimising the mine production scheduling accounting for stockpiling and investment decisions under geological uncertainty. International Journal of Mining, Reclamation and Environment, 37(5), 355-374. External link
Brika, Z., Gamache, M., & Dimitrakopoulos, R. (2021). Optimizing the mine production scheduling accounting for stockpiling and investment decisions under geological uncertainty. (Technical Report n° G-2021-17). External link
Brika, Z., Gamache, M., & Dimitrakopoulos, R. (2019). Solving the mixed-integer linear programming problem for mine production scheduling with stockpiling under multi-element geological uncertainty. (Technical Report n° G-2019-05). External link
Brika, Z., Gamache, M., & Dimitrakopoulos, R. (2018). Multi-product mine scheduling optimization under multi-element geological uncertainty. (Technical Report n° G-2018-72). External link
Carpentier, S., Gamache, M., & Dimitrakopoulos, R. (2016). Underground long-term mine production scheduling with integrated geological risk management. Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology, 125(2), 93-102. External link
Carpentier, S., Gamache, M., & Dimitrakopoulos, R. (2015). Underground long-term mine production scheduling with integrated geological risk management. (Technical Report n° G-2015-107). External link
Dimitrakopoulos, R. (1989). Conditional simulation of IRF-k in the petroleum industry and the expert system perspective [Ph.D. thesis, Polytechnique Montréal]. Available
Rimélé, A., Dimitrakopoulos, R., & Gamache, M. (2020). A dynamic stochastic programming approach for open-pit mine planning with geological and commodity price uncertainty. Resources Policy, 65, 8 pages. External link
Rimélé, A., Dimitrakopoulos, R., & Gamache, M. (2018). A dynamic stochastic approach for open-pit mine planning. (Technical Report n° G-2018-87). External link
Rimélé, A., Gamache, M., & Dimitrakopoulos, R. (2017). Heuristic method for the stochastic open pit mine production scheduling problem. (Technical Report n° G-2017-34). External link
Rimélé, A., Gamache, M., & Dimitrakopoulos, R. (2017). Open pit stochastic optimization with in-pit tailings storage. (Technical Report n° G-2017-35). External link
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Training image free high-order stochastic simulation based on aggregated kernel statistics. (Technical Report n° G-2021-14). External link
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Learning high-order spatial statistics at multiple scales: A kernel-based stochastic simulation algorithm and its implementation. Computers & Geosciences, 149, 11 pages. External link
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics. Mathematical Geosciences, 53(7), 1469-1489. External link
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2019). High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space. Mathematical Geosciences, 52(5), 693-723. External link
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2018). A new computational model of high-order stochastic simulation based on spatial Legendre moments. Mathematical Geosciences, 50(8), 929-960. Available
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2018). A new computational model of high-order stochastic simulation based on spatial Legendre moments. (Technical Report n° G-2018-89). External link