Published June 4, 2024 | Version v1
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  • 1. Turin Polytechnic University Tashkent, Republic of Uzbekistan
  • 2. Tashkent University of Information Technologies, Tashkent, Republic of Uzbekistan


This paper discusses the application of the Local Loop Optimization algorithm to improve the parameters of a multistage flotation process. The basic idea is to adjust process parameters such as reagent feed rates, equipment volumes and others to maximize the yield of valuable minerals and minimize losses. The technique involves iterative application of the Local Loop Optimization algorithm to process models based on physical and chemical principles of flotation. Initial approximations for the parameters are taken from experimental data or previous experiments. The Local Contour Optimization algorithm is then used to find local optimums by varying the parameters and evaluating their effect on the output. The results of the study show that the application of the Local Contour Optimization algorithm can significantly improve the efficiency of the flotation process by increasing the yield of valuable minerals and reducing losses. This approach provides a reduction in production costs and increases the competitiveness of the enterprise in the mining industry.



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