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#### Paper Information

Journal:   JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING   SPRING-SUMMER 2016 , Volume 6 , Number 11 ; Page(s) 89 To 99.

Paper:

# DETERMINATION OF OPTIMUM CUTOFF GRADES TO MAXIMIZE NET PRESENT VALUE BY USING IMPERIALISM COMPETITIVE ALGORITHM (ICA)

Author(s):

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Abstract:

Introduction: One of the important aspects of open-pit mine design is determination of cutoff grade, by definition cutoff grade is the grade at which the mineral reserve ca no longer be mined and processed at profit. A cutoff grade is used to assign the destination of material exploited from the mine. This destinations are: (1) to mill, (2) to the waste dump and (3) to the stockpiles. In this paper, determining the optimal cutoff grade of ore to maximize the NPV due to mining limitations, concentration and refining is described by using ICA algorithm.
Methodology and Approaches: The ICA algorithm starts with an initial population. Each population in ICA is called country. Countries are divided in two groups: imperialists and colonies. In this algorithm the more powerful imperialist, have the more colonies. When the competition starts, imperialists attempt to achieve more colonies and the colonies start to move toward their imperialists. So during the competition the powerful imperialists will be improved and the weak ones will be collapsed. At the end just one imperialist will remain. In this stage the position of imperialist and its colonies will be the same. In this paper the cutoff grade of hypothetical deposit is calculated using ICA algorithm. This algorithm has 40 country, 6 imperialist and 34 colony. Finally the results is validated by dichotomous method.
Results and Conclusions: One of the important parameters of open-pit mine design is determination of cutoff grade. In this paper imperialist competitive algorithm is used to optimize the cutoff grade. Since the roulette wheel mechanism is not used In the ICA algorithm and only a probability density function (PDF) is needed to reach the answer, the ICA algorithm converges faster and better to the optimum point compare with other algorithms.