Ore blending of underground mines based on an immune clone selection optimization algorithm

YAO Xu-long; HU Nai-lian; ZHOU Li-hui; LI Yong

doi:10.13374/j.issn1001-053x.2011.05.004

Volume 33 Issue 5

Jul. 2021

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YAO Xu-long, HU Nai-lian, ZHOU Li-hui, LI Yong. Ore blending of underground mines based on an immune clone selection optimization algorithm[J]. Chinese Journal of Engineering, 2011, 33(5): 526-531. doi: 10.13374/j.issn1001-053x.2011.05.004

Citation:

YAO Xu-long, HU Nai-lian, ZHOU Li-hui, LI Yong. Ore blending of underground mines based on an immune clone selection optimization algorithm[J]. Chinese Journal of Engineering, 2011, 33(5): 526-531. doi: 10.13374/j.issn1001-053x.2011.05.004

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Ore blending of underground mines based on an immune clone selection optimization algorithm

doi: 10.13374/j.issn1001-053x.2011.05.004

1. School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China;
2. Hebei Energy Institute of Vocation and Technology, Tangshan 063001

Received Date: 2010-06-04
Available Online: 2021-07-30
Publish Date: 2021-07-30

Abstract

Abstract

A mathematical model of ore blending was constructed for underground mines on the basis of an immune clone selection optimization algorithm. In combination with the actual production of an underground zinc mine in China, the model was calculated by programming computer software with Java. The calculated results were compared with the production plan and the data calculated by a fuzzy optimization method. It is shown that the immune clone selection algorithm is feasible and reliable for ore blending of an underground mine.
- immune clone selection algorithm,
- multi-objective optimization,
- ore blending,
- underground mines