2015
DOI: 10.1007/978-3-319-24141-8_52
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A Collaborative Planning Model to Coordinate Mining and Smelting Furnace

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(1 citation statement)
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“…There are certainly other approaches to multiobjective optimization in mining systems, e.g., reinforcement learning and bandit algorithms for sequential decision making [54], or integrated sequential mine block selection and smelter feed dopant control using local optimization constraints [55]. These techniques are no doubt important to their specific applications; however, they do not have the appropriate time resolution to capture the frequency of critical threshold crossings required by the framework strategy presented here.…”
Section: Discrete Event Simulation and Framework Developmentmentioning
confidence: 99%
“…There are certainly other approaches to multiobjective optimization in mining systems, e.g., reinforcement learning and bandit algorithms for sequential decision making [54], or integrated sequential mine block selection and smelter feed dopant control using local optimization constraints [55]. These techniques are no doubt important to their specific applications; however, they do not have the appropriate time resolution to capture the frequency of critical threshold crossings required by the framework strategy presented here.…”
Section: Discrete Event Simulation and Framework Developmentmentioning
confidence: 99%