The optimization of cut-off grades by means of memetic algorithms

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dc.authorid0000-0003-0053-6932en_US
dc.authorid0000-0002-9739-3562en_US
dc.contributor.authorÇetin, Erhan
dc.contributor.authorDalgıç, Abdurrahman
dc.date.accessioned2024-03-01T13:17:00Z
dc.date.available2024-03-01T13:17:00Z
dc.date.issued2022en_US
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Maden Mühendisliği Bölümüen_US
dc.description.abstractCut-off grades optimization is a fundamental issue for mineral deposits. A cut-off grade is any grade that is used to separate two courses of action; to mine or not to mine, to process or to dump. In order to achieve the maximum discounted cash flow, generally a decreasing order of cut-off grades schedule takes place. Variable mining costs are applied to the extracted material, not to all of the depletion rate as some of the depletion can be left in-situ. Because of access constraints, some of the blocks that have an average grade less than the determined cut-off grade are left in-situ, some of them are excavated and dumped as waste material. The probability density function of an exponential distribution is used to find the portion of the material below the cut-off used that is left in situ. The parts of a mineral deposit that are excavated but will be dumped as waste material and tailings of ore incur some additional cost of rehabilitation. The method of memetic algorithms is a very robust optimization tool. It is a step further from the genetic algorithms. The crossover, mutation and natural selection behavior of the method ensures it escape from a local optimum point, and a further local search improves the optimum further. This paper describes the general problem of cut-off grades optimization, outlines the use of memetic algorithms in cut-off grades optimization and further exten-sion of the method including partial depletion rates and variable rehabilitation cost. This paper is the first application of memetic algorithms to cut-off grades optimization in this context.en_US
dc.identifier.citationÇetin, E. ve Dalgıç, A. (2022). The optimization of cut-off grades by means of memetic algorithms. Gospodarka Surowcami Mineralnymi / Mineral Resources Management, 38(1), 107-122.en_US
dc.identifier.doi10.24425/gsm.2022.140607en_US
dc.identifier.endpage122en_US
dc.identifier.issn0860-0953
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85128331207en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage107en_US
dc.identifier.urihttps://journals.pan.pl/dlibra/publication/140607/edition/122473/content
dc.identifier.urihttps://hdl.handle.net/11468/13463
dc.identifier.volume38en_US
dc.identifier.wosWOS:000778785500006
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorÇetin, Erhan
dc.language.isoenen_US
dc.publisherPolska Akademia Nauken_US
dc.relation.ispartofGospodarka Surowcami Mineralnymi / Mineral Resources Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCut-off gradesen_US
dc.subjectDepletion rateen_US
dc.subjectMemetic algorithmsen_US
dc.subjectOptimizationen_US
dc.subjectRehabilitation costen_US
dc.titleThe optimization of cut-off grades by means of memetic algorithmsen_US
dc.title.alternativeOptymalizacja warto?ci granicznej za pomoc? algorytmów memetycznychen_US
dc.typeArticleen_US

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