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Improvement of Dynamic Programming Method Based on Ant Colony Optimization Algorithm and Efficient Mining and Stripping Plan for Large-Scale Open-Pit Mines
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Yuqi LYU1, Xiaodong WANG1, Xuelin HUANG2, Hong XIANG2, Yingchao TENG2
Mining Research and Development | 2026, 46(1) : 52 - 59
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Mining Research and Development | 2026, 46(1): 52-59
Improvement of Dynamic Programming Method Based on Ant Colony Optimization Algorithm and Efficient Mining and Stripping Plan for Large-Scale Open-Pit Mines
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Yuqi LYU1, Xiaodong WANG1, Xuelin HUANG2, Hong XIANG2, Yingchao TENG2
Affiliations
  • 1.Faculty of land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2.PowerChina Kunming Engineering Corporation Limited, Kunming, Yunnan 650051, China
Published: 2026-01-25
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To improve the efficiency and accuracy of the mining and stripping plan for large-scale open-pit mines, a dynamic sorting of mining increment bodies(ACO-DP) integrating the ant colony optimization (ACO) algorithm and dynamic programming (DP) method was proposed. Combined with the distributed search mechanism of ACO, the state transition path selection strategy was reconstructed, which significantly reduced the computational complexity. Through its practical application in an open-pit quarry in Guangdong, the significant effects of the ACO-DP method in improving the efficiency of mining and stripping plan, optimizing resource allocation and enhancing economic benefits were verified. The results show that the ACO-DP method shortens the planning time of the quarry from 3 000 minutes to 6.45 minutes, with an efficiency improvement of 99.8%. The stripping ratio is optimized from 0.39 to 0.124, with a decrease of 68.2%, and the net present value gradually increases from 244.99 million yuan to a peak of 253.93 million yuan. The ACO-DP method can be integrated into a mine digital twin system, supporting real-time dynamic adjustment and multi-objective collaborative optimization, and providing a new idea for intelligent mine planning under the "double carbon" goal.

Large-scale open-pit mine  /  Optimization of mining and stripping plan  /  Ant colony optimization algorithm  /  Dynamic programming  /  Dynamic sorting of mining increment body
吕玉琪, 王孝东, 黄雪林, 向弘, 滕英超. 基于蚁群优化算法的动态规划改进及大型露天矿山高效采剥规划. 矿业研究与开发, 2026 , 46 (1) : 52 -59 .
Yuqi LYU, Xiaodong WANG, Xuelin HUANG, Hong XIANG, Yingchao TENG. Improvement of Dynamic Programming Method Based on Ant Colony Optimization Algorithm and Efficient Mining and Stripping Plan for Large-Scale Open-Pit Mines[J]. Mining Research and Development, 2026 , 46 (1) : 52 -59 .
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Year 2026 volume 46 Issue 1
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Article Info
  • Receive Date：2025-02-23
  • Online Date：2026-10-29
  • Published：2026-01-25
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  • Received：2025-02-23
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Affiliations
    1.Faculty of land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
    2.PowerChina Kunming Engineering Corporation Limited, Kunming, Yunnan 650051, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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