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- W2348949426 abstract "In order to evaluate the effect of mine ore blending comprehensively,a new ore blending model was proposed for phosphate rock stacking yard,based on the multi-objective optimization theory. The stability of ore quality and ore component indexes requirements for mineral processing and maximum utilization of ore were chosen as the objective function of the multi-objective mathematical model. Multi-objective genetic algorithm was improved to solve the ore blending model. It was tested by two constrained multi-objective optimization examples,and the results indicated that the improved genetic algorithm could find the Pareto optimal solutions set in a multi-objective optimization problem and the Pareto optimal solutions are scattered extensively and uniformly. This method was applied to ore blending for phosphate rock stacking yard. The field test results showed that compared with the normal method the utilization rate of raw ore was increased by 0. 31% by the new method,and a total of 30654t phosphate rock with 23. 052% P2O5and 4. 195% MgO was mixed legend. This result confirms that stability and maximum utilization of ore can be realized by the multi-objective optimization ore blending method." @default.
- W2348949426 created "2016-06-24" @default.
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- W2348949426 date "2013-01-01" @default.
- W2348949426 modified "2023-09-24" @default.
- W2348949426 title "Multi-objective optimization of mine ore blending based on genetic algorithm" @default.
- W2348949426 hasPublicationYear "2013" @default.
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