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Design process for open-pit mines starts with determining ultimate pit limit (UPL) that includes the maximum profit. There are different methods to determine the UPL, including manual and computer methods. Computer-based methods are categorized to intelligent and mathematical methods. Intelligent-based methods are based on computational intelligence. Among the algorithms based on computer calculations, one can mention the dynamic programming algorithm and graph theory while algorithms, based on computational intelligence, include genetic algorithm, ant colony optimization, etc. This paper introduces the application of a new approach called the imperialist competitive algorithm (ICA) in UPL optimization. The ICA algorithm is considered as an intelligent algorithm that starts with a series of initial countries; these countries are input to the problem and improved in the next steps help or improve the solution. For UPL optimization problem, the initial pits, formes empires and lucrative pits select as imperialist. Two policies, called attraction and revolution, are used to enhance the solution. The solution given by this algorithm was compared with the response of the dynamic programming algorithm. The results are quite promising. |
