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Outline
To enhance the efficiency of mine ore blending and resource utilization, based on the beluga whale optimization algorithm (BWO), an improved beluga whale optimization algorithm (IBWO) combining chaotic mapping and Levy flight strategy was proposed, and compared with POS algorithm, WOA algorithm, SSA algorithm and BWO algorithm. The results show that compared with the other four algorithms, the IBWO algorithm has obvious advantages in convergence speed and global optimal solution search ability, and the convergence speed is increased by 31.2％－165.9％. The numerical simulation results of ore blending optimization show that the average profit of IBWO algorithm is 25.06 million yuan at 31 iterations, and the profit is increased by 14.69％－17.93％. The research results provide a new solution path for the optimization of mine ore blending, and are expected to provide a theoretical basis for the efficient utilization of resources and the improvement of economic benefits in mining production.
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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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