Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/102579
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dc.contributor.authorCetin, E.en
dc.contributor.authorDowd, P.en
dc.date.issued2016en
dc.identifier.citationJournal of the Southern African Institute of Mining and Metallurgy, 2016; 116(7):681-688en
dc.identifier.issn2225-6253en
dc.identifier.issn2411-9717en
dc.identifier.urihttp://hdl.handle.net/2440/102579-
dc.description.abstractOptimization 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.en
dc.description.statementofresponsibilityE. Cetin and P.A. Dowden
dc.language.isoenen
dc.publisherThe Southern African Institute of Mining and Metallurgyen
dc.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 Licenseen
dc.subjectcut-off grade; sequencing; optimization; multi-mineral deposit; genetic algorithmsen
dc.titleMultiple cut-off grade optimization by genetic algorithms and comparison with grid search method and dynamic programmingen
dc.typeJournal articleen
dc.identifier.rmid0030057978en
dc.identifier.doi10.17159/2411-9717/2016/v116n7a10en
dc.identifier.pubid277780-
pubs.library.collectionCivil and Environmental Engineering publicationsen
pubs.library.teamDS03en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidDowd, P. [0000-0002-6743-5119]en
Appears in Collections:Civil and Environmental Engineering publications

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