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2019
Optimization of concentrate grade in non-ferrous metals mineral processing based on IGA-FL fusion algorithm
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- Basic Geological Survey Institute of Jiangxi Geological Survey and Exploration Institute&Jiangxi Nonferrous Geological Exploration and Development Institute|Basic Geological Survey Institute of Jiangxi Geological Survey and Exploration Institute&Jiangxi Nonferrous Geological Exploration and Development Institute|Basic Geological Survey Institute of Jiangxi Geological Survey and Exploration Institute&Jiangxi Nonferrous Geological Exploration and Development Institute|Basic Geological Survey Institute of Jiangxi Geological Survey and Exploration Institute&Jiangxi Nonferrous Geological Exploration and Development Institute
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Abstract:
To optimize the concentrate grade in the beneficiation process of non-ferrous metals,a fusion algorithm combining fuzzy logic(FL) and immune genetic algorithm(IGA) was developed.Based on this fusion algorithm,a detection model for the beneficiation of non-ferrous metals was constructed to detect and optimize the concentrate grade.Comparative test results show that the data recall rate of the IGA-FL fusion algorithm is 99.7 %,with a computation speed of 16.7 bps.The average detection accuracy of the model based on this algorithm is 97.3 %,with a detection time of 1.8 s.After applying the detection model based on the IGA-FL fusion algorithm,the concentrate grade of non-ferrous metal beneficiation reached 70.5 %,indicating that this model can optimize the concentrate grade effectively.
Keywords:
non-ferrous metal beneficiation;concentrate grade;fuzzy logic algorithm;immune genetic algorithm;fusion algorithm;detection model
