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Outline
The production of open-pit mines is affected by geological fluctuations, and traditional methods are difficult to effectively coordinate multi-objective ore extraction strategies. Aiming at the uncertainty of ore grade and unit mining cost during the extraction process, a multi-objective uncertainty optimization model was constructed with the objectives of minimizing unit cost, maximizing total extraction amount, and minimizing the standard deviation of grade fluctuation. The Monte Carlo method was used to simulate the random variations of geological parameters. To improve the stability and diversity of the solution set, a dynamic reference point perturbation jumping mechanism and an adaptive scaling strategy for the objective space were designed and embedded into NSGA-Ⅲ, resulting in the DPRS-NSGA-Ⅲ algorithm. A case study was conducted on a large-scale molybdenum mine. The results show that the DPRS-NSGA-Ⅲ algorithm increases the total ore extraction amount by 2.03%, reduces the unit mining cost by 2.17%, and controls the grade deviation within 0.005 percentage points. The obtained Pareto solution set is uniformly distributed in the three-dimensional objective space, without abnormal clustering or collapse. The research results demonstrate good adaptability and practical application value in addressing uncertain factors in the ore extraction strategy of open-pit mines.
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| 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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