Prediction of relations between leaching rate of rare earth mineral and the density of its mother liquid based on HGEP-PTS algorithm

摘要

Aiming at the problem of insufficient computation efficiency of GEP algorithm in function funding, this study improves it based on parallel tabu search algorithm and applies it in rare earth column leaching experiment and discusses the influences of ammonium ion density, sulfite density and rare earth ion density on the leaching rate of weathered crust strain amass-type rare earth. It could be found from example analysis that the prediction error of improved gene expression programming model is increased 3 to 5 times of that of traditional gene expression programming and high-precision model of relations between rare earth leaching rate and the density parameters is obtained.