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, coefficients of IDW equation, power, influence were modified by applying ICA algorithm. For this, an example solved using IDW, ordinary kriging, IDW-ICA. After successfully validating IDW-ICA, iron grades estimated Baba Ali mine, most prominent mine west Iran. after gathering data from thirty-two boreholes, conducted Some statistical parameters, including mean absolute percentage error (MAPE), root-mean-squared (RMSE), correlation coefficient, used to compare results. The higher value R2, 94.41%, lowest values MAPE, 17.4%, RMSE, 4.19, algorithm, revealed that IDW-ICA could be applied as new-fangled method