Sustainable Mining and Metallurgy

In the process of copper electrolytic refining, electrolyte temperature, electrolyte circulation speed, the amount of additives and current density are the key process parameters that determine the quality of copper. However, the control of these parameters is judged according to artificial experience, which lacks certain rationality. This paper proposed to use the artificial gorilla troops optimizer to optimize the control parameters in the copper electrolytic refining process in order to obtain the optimal parameter ratio. Experiments show that the quality of cathode copper is significantly improved and the power consumption is reduced by 6.173% by using the optimal parameters obtained by the artificial gorilla troops optimizer. The copper electrolysis process optimization model based on the artificial gorilla troops optimizer can accurately regulate the copper electrolysis process factors, and overcome the subjectivity of human experience control and the disadvantage of not being able to guarantee the optimal.