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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...

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Autores principales: Shamsi, Reza, Dehghani, Hesam, Jalali, Mohammad, Jodeiri Shokri, Behshad
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
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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.
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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
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