The optimization of cut-off grades by means of memetic algorithms
| dc.contributor.author | Cetin, Erhan | |
| dc.contributor.author | Dalgic, Abdurrahman | |
| dc.date.accessioned | 2026-01-24T12:29:22Z | |
| dc.date.available | 2026-01-24T12:29:22Z | |
| dc.date.issued | 2022 | |
| dc.department | Alanya Alaaddin Keykubat Üniversitesi | |
| dc.description.abstract | Cut-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 extension 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. | |
| dc.identifier.doi | 10.24425/gsm.2022.140607 | |
| dc.identifier.endpage | 122 | |
| dc.identifier.issn | 0860-0953 | |
| dc.identifier.issn | 2299-2324 | |
| dc.identifier.issue | 1 | |
| dc.identifier.scopus | 2-s2.0-85128331207 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 107 | |
| dc.identifier.uri | https://doi.org/10.24425/gsm.2022.140607 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12868/5321 | |
| dc.identifier.volume | 38 | |
| dc.identifier.wos | WOS:000778785500006 | |
| dc.identifier.wosquality | Q4 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Polska Akad Nauk, Polish Acad Sciences, Miner & Energy Econ Res Inst Pas | |
| dc.relation.ispartof | Gospodarka Surowcami Mineralnymi-Mineral Resources Management | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WoS_20260121 | |
| dc.subject | memetic algorithms | |
| dc.subject | optimization | |
| dc.subject | cut-off grades | |
| dc.subject | depletion rate | |
| dc.subject | rehabilitation cost | |
| dc.title | The optimization of cut-off grades by means of memetic algorithms | |
| dc.title.alternative | Optymalizacja warto?ci granicznej za pomoc? algorytmów memetycznych | |
| dc.type | Article |
