Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/102579
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Type: Journal article
Title: Multiple cut-off grade optimization by genetic algorithms and comparison with grid search method and dynamic programming
Author: Cetin, E.
Dowd, P.
Citation: Journal of the Southern African Institute of Mining and Metallurgy, 2016; 116(7):681-688
Publisher: The Southern African Institute of Mining and Metallurgy
Issue Date: 2016
ISSN: 2225-6253
2411-9717
Statement of
Responsibility: 
E. Cetin and P.A. Dowd
Abstract: 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.
Keywords: cut-off grade; sequencing; optimization; multi-mineral deposit; genetic algorithms
Rights: © The Southern African Institute of Mining and Metallurgy, 2016. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
RMID: 0030057978
DOI: 10.17159/2411-9717/2016/v116n7a10
Appears in Collections:Civil and Environmental Engineering publications

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