de Carvalho, J. P., & Dimitrakopoulos, R. (2021). Integrating production planning with truckdispatching decisions through reinforcement learning while managing uncertainty. Minerals, 11(6), 587. de Carvalho, J. P., & Dimitrakopoulos, R. (2023). Integrating short-term stochastic production planning updating with mining fleet management in industrial mining complexes: an actorcritic reinforcement learning approach. Applied Intelligence, 53(20), 23179-23202. de Carvalho, J. P., & Dimitrakopoulos, R. (2024). Simultaneous shovel allocation and grade control decisions for short-term production planning of industrial mining complexes–an actor-critic approach. International Journal of Mining, Reclamation and Environment, 38(1), 53-78. Hazrathosseini, A., & Afrapoli, A. M. (2023). Intelligent fleet management systems in surface mining: Status, threats, and opportunities. Mining, Metallurgy & Exploration, 40(6), 20872106. https://doi.org/10.1007/s42461-023-00875-2 Kumar, A., & Dimitrakopoulos, R. (2021). Production scheduling in industrial mining complexes with incoming new information using tree search and deep reinforcement learning. Applied Soft Computing, 110, 107644. Levinson, Z., & Dimitrakopoulos, R. (2023). Connecting planning horizons in mining complexes with reinforcement learning and stochastic programming. Resources Policy, 86, 104136. Li, Z. (1990). A methodology for the optimum control of shovel and truck operations in open-pit mining. Mining science and technology 10(3): 337-340. Matamoros, M. E. V., & Dimitrakopoulos, R. (2016). Stochastic short-term mine production schedule accounting for fleet allocation, operational considerations and blending restrictions. European Journal of Operational Research, 255(3), 911-921. Mirzaei-Nasirabad, H., Mohtasham, M., Askari-Nasab, H., & Alizadeh, B. (2023). An optimization model for the real-time truck dispatching problem in open-pit mining operations. Optimization and Engineering, 24(4), 2449-2473. Moradi Afrapoli, A., & Askari-Nasab, H. (2019). Mining fleet management systems: a review of models and algorithms. International Journal of Mining, Reclamation and Environment, 33(1), 42-60. Moradi-Afrapoli, A., & Askari-Nasab, H. (2020). A stochastic integrated simulation and mixed integer linear programming optimisation framework for truck dispatching problem in surface mines. International Journal of Mining and Mineral Engineering, 11(4), 257-284. Paduraru, C., & Dimitrakopoulos, R. (2018). Adaptive policies for short-term material flow optimization in a mining complex. Mining Technology, 127(1), 56-63. Paduraru, C., & Dimitrakopoulos, R. (2019). Responding to new information in a mining complex: Fast mechanisms using machine learning. Mining Technology. Pirbalouti, S. M., & Askari-Nasab, H. (2023). Stochastic Optimization and Deterministic Models in Strategic Mine Planning Problems: An Overview of Solution Methods and Comparisons. University of Alberta: Edmonton, AB, Canada. Quigley, M., & Dimitrakopoulos, R. (2020). Incorporating geological and equipment performance uncertainty while optimising short-term mine production schedules. International Journal of Mining, Reclamation and Environment, 34(5), 362-383. Ta, C.H., Kresta, J.V., Forbes, J.F., & Marquez, H.J. (2005). A stochastic optimization approach to mine truck allocation. International journal of surface mining, reclamation and environment 19(3): 162-175.
RkJQdWJsaXNoZXIy MTM0Mzk2