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Information Journal Paper

Title

Determine optimal pit limit using artificial bee colony algorithm

Pages

  75-90

Abstract

 Various methods have been proposed to determine the Ultimate pit limits. Artificial intelligence-based methods such as heuristic genetic algorithms, ants and colony competition algorithms. Artificial bee colony (ABC) algorithm is one of the most powerful heuristic algorithms inspired by the social life of bees. In this paper, a hypothetical example of the life of bees is primarily described to find the source with the highest amount of nectar by this algorithm. Then, a method based on the bee algorithm is proposed to determine the Ultimate pit limit, and to examine its performance, a two-dimensional example is described step by step. In this example, it was found that in cases where the Moving cone can not find the optimal Ultimate pit limit, the ABC method is well suited for introducing solution. Then, this algorithm was used to determine the ultimate limits of Sungun Copper mine pit with a number of 120*100*45 blocks. To validate the proposed algorithm, the Graph theory and Moving cone techniques were used. Results showed that the profit obtained by ABC algorithm is just 1. 6% less than that of Graph theory algorithm, which is a rigorous technique and entails finding the true optimum. Meanwhile, the ABC algorithm provides 12. 3% more profit when compared to heuristic Moving cone algorithm.

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  • Cite

    APA: Copy

    Noroozi Ghalein, Ebrahim, & ATAEE POUR, MAJID. (2019). Determine optimal pit limit using artificial bee colony algorithm. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), 13(41 ), 75-90. SID. https://sid.ir/paper/117058/en

    Vancouver: Copy

    Noroozi Ghalein Ebrahim, ATAEE POUR MAJID. Determine optimal pit limit using artificial bee colony algorithm. IRANIAN JOURNAL OF MINING ENGINEERING (IRJME)[Internet]. 2019;13(41 ):75-90. Available from: https://sid.ir/paper/117058/en

    IEEE: Copy

    Ebrahim Noroozi Ghalein, and MAJID ATAEE POUR, “Determine optimal pit limit using artificial bee colony algorithm,” IRANIAN JOURNAL OF MINING ENGINEERING (IRJME), vol. 13, no. 41 , pp. 75–90, 2019, [Online]. Available: https://sid.ir/paper/117058/en

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