Cargando…
Ore grade estimation using the imperialist competitive algorithm (ICA)
In this paper, a hybrid inverse distance weighted (IDW) and the imperialist competitive algorithm (ICA) was proposed for grade estimations in mining projects. Indeed, the coefficients of the IDW equation, power, and the influence distance were modified by applying the ICA algorithm. For this, an exa...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282408/ http://dx.doi.org/10.1007/s12517-021-07808-7 |
_version_ | 1783723006908956672 |
---|---|
author | Shamsi, Reza Dehghani, Hesam Jalali, Mohammad Jodeiri Shokri, Behshad |
author_facet | Shamsi, Reza Dehghani, Hesam Jalali, Mohammad Jodeiri Shokri, Behshad |
author_sort | Shamsi, Reza |
collection | PubMed |
description | In this paper, a hybrid inverse distance weighted (IDW) and the imperialist competitive algorithm (ICA) was proposed for grade estimations in mining projects. Indeed, the coefficients of the IDW equation, power, and the influence distance were modified by applying the ICA algorithm. For this, an example was solved by using IDW, the ordinary kriging, and IDW-ICA. After successfully validating the IDW-ICA, the iron grades were estimated in the Baba Ali iron mine, the most prominent iron mine in the west of Iran. For this, after gathering data from thirty-two boreholes, the grade estimations were conducted using IDW, kriging, and IDW-ICA. Some statistical parameters, including the mean absolute percentage error (MAPE), root-mean-squared error (RMSE), and correlation coefficient, were used to compare the results. The higher value of the R(2), 94.41%, the lowest values of MAPE, 17.4%, and RMSE, 4.19, of the proposed algorithm, revealed that the IDW-ICA could be applied as a new-fangled method for grade estimations in the mining projects. |
format | Online Article Text |
id | pubmed-8282408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82824082021-07-19 Ore grade estimation using the imperialist competitive algorithm (ICA) Shamsi, Reza Dehghani, Hesam Jalali, Mohammad Jodeiri Shokri, Behshad Arab J Geosci Original Paper In this paper, a hybrid inverse distance weighted (IDW) and the imperialist competitive algorithm (ICA) was proposed for grade estimations in mining projects. Indeed, the coefficients of the IDW equation, power, and the influence distance were modified by applying the ICA algorithm. For this, an example was solved by using IDW, the ordinary kriging, and IDW-ICA. After successfully validating the IDW-ICA, the iron grades were estimated in the Baba Ali iron mine, the most prominent iron mine in the west of Iran. For this, after gathering data from thirty-two boreholes, the grade estimations were conducted using IDW, kriging, and IDW-ICA. Some statistical parameters, including the mean absolute percentage error (MAPE), root-mean-squared error (RMSE), and correlation coefficient, were used to compare the results. The higher value of the R(2), 94.41%, the lowest values of MAPE, 17.4%, and RMSE, 4.19, of the proposed algorithm, revealed that the IDW-ICA could be applied as a new-fangled method for grade estimations in the mining projects. Springer International Publishing 2021-07-16 2021 /pmc/articles/PMC8282408/ http://dx.doi.org/10.1007/s12517-021-07808-7 Text en © Saudi Society for Geosciences 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Shamsi, Reza Dehghani, Hesam Jalali, Mohammad Jodeiri Shokri, Behshad Ore grade estimation using the imperialist competitive algorithm (ICA) |
title | Ore grade estimation using the imperialist competitive algorithm (ICA) |
title_full | Ore grade estimation using the imperialist competitive algorithm (ICA) |
title_fullStr | Ore grade estimation using the imperialist competitive algorithm (ICA) |
title_full_unstemmed | Ore grade estimation using the imperialist competitive algorithm (ICA) |
title_short | Ore grade estimation using the imperialist competitive algorithm (ICA) |
title_sort | ore grade estimation using the imperialist competitive algorithm (ica) |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282408/ http://dx.doi.org/10.1007/s12517-021-07808-7 |
work_keys_str_mv | AT shamsireza oregradeestimationusingtheimperialistcompetitivealgorithmica AT dehghanihesam oregradeestimationusingtheimperialistcompetitivealgorithmica AT jalalimohammad oregradeestimationusingtheimperialistcompetitivealgorithmica AT jodeirishokribehshad oregradeestimationusingtheimperialistcompetitivealgorithmica |