矿产保护与利用2025，Vol.45Issue(1)：8-14,7.DOI:10.13779/j.cnki.issn1001-0076.2024.08.020
基于帝国竞争算法的多金属矿山边界品位优化研究
Research on Optimization of Cut-off Grade in Polymetallic Mines Using Imperialist Competitive Algorithm
摘要
Abstract
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 Pb 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 1 274.575 3 million yuan;Compared with the Lane method,this model has global search ability and is more advantageous in dynamic optimization of cut-off grade indicators in the later stage of mining,providing new ideas for determining reasonable cut-off grade indicators in mines.关键词
多金属矿/ICA算法/综合品位/最大净现值法/边界品位Key words
polymetallic ore/imperialist competitive algorithm/comprehensive grade/maximum net present value method/cut-off grade分类
矿山工程引用本文复制引用
许倩倩,郭进平,王小林,刘亚雄,薛涛..基于帝国竞争算法的多金属矿山边界品位优化研究[J].矿产保护与利用,2025,45(1):8-14,7.基金项目
陕西省自然科学基金项目(2024JC-YBQN-0507) （2024JC-YBQN-0507）
国家资助博士后研究人员计划项目(GZC20232063) （GZC20232063）
陕西省博士后科研项目(2023BSHYDZZ142) （2023BSHYDZZ142）
