Multiple cut-off grade optimization by genetic algorithms and comparison with grid search method and dynamic programming

被引:13
作者
Cetin, E. [1 ]
Dowd, P. A. [2 ]
机构
[1] Dicle Univ, Fac Engn, Min Engn Dept, Diyarbakir, Turkey
[2] Univ Adelaide, Fac Engn Comp & Math Sci, Adelaide, SA, Australia
关键词
cut-off grade; sequencing; optimization; multi-mineral deposit; genetic algorithms;
D O I
10.17159/2411-9717/2016/v116n7a10
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Optimization of cut-off grades is a fundamental issue for mineral deposits. Determination of optimum cut-off grades, instead of application of a static cut-off grade for the life of a mine, maximizes the net present value. The authors describe the general problem of cut-off grade optimization for multi-mineral deposits and outline the use of genetic algorithms, the grid search method, and dynamic programming for optimal cut-off grade schedules for deposits with up to three constituent minerals. The methods are compared by assessing the results of the implications involved in using them.
引用
收藏
页码:681 / 688
页数:8
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