Citation: | XU Qianqian, GUO Jinping, WANG Xiaolin, LIU Yaxiong, XUE Tao. Research on Optimization of Cut−off Grade in Polymetallic Mines Using Imperialist Competitive Algorithm[J]. Conservation and Utilization of Mineral Resources, 2025, 45(1): 8-14. doi: 10.13779/j.cnki.issn1001-0076.2024.08.020 |
Cut−off grade is an important decision parameter in mining operations. In multi metal mining projects, determining a reasonable cut−off grade is the foundation for obtaining greater economic benefits for subsequent mining. Based on the maximum net present value method, a dynamic optimization model for the comprehensive cut−off grade of a polymetallic mine based on ICA algorithm was constructed for the two−stage production process of mining and selection. The optimal cut−off grade of a certain silver lead mine was dynamically determined. The example application shows that the model is suitable for determining the cut−off grade of polymetallic mines. During the lifespan of the mine, the optimal cut−off grade for a Pb−Au−Ag polymetallic material determined by the ICA algorithm was 2.619%, which later decreased to 1.331%. The total net present value of the mine was
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Steps of cut−off grade optimization
Reserve grade distribution
Optimization iteration of cut−off grade objective function
Comparison of Results between Lane and ICA