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| Classification of raw ore based on differential evolution and clustering |
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Received:June 16, 2021
Revised:July 19, 2021
Accepted:August 19, 2021
Published Online:April 27, 2022
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| DOI： |
| KeyWord:material balance; Raw ore classification; Coefficient of variation; Differential evolution; Clustering method |
| Author | Institution |
| zhou ye |
BGRIMM Technology Group |
| wang qingkai |
BGRIMM Technology Group |
| yu gang |
BGRIMM Technology Group |
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| Abstract: |
| In this paper, the classification of raw ore is studied according to the difference of beneficiation results of different raw ore in Ta-Nb Mineral Processing. On the basis of material balance analysis, a mathematical model for solving the material change coefficient of all production links is established with the objective of minimizing the material balance error, and the differential evolution algorithm is used to solve the problem; According to the material variation coefficient of different selected raw ores, the clustering method is used to classify the selected raw ores, and the material variation coefficient of different selected raw ores is determined. |
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