Operational optimization of copper flotation process based on the weighted Gaussian process regression and index-oriented adaptive differential evolution algorithm  

作　　者：Zhiqiang Wang Dakuo He Haotian Nie 

机构地区：[1]College of Information Science and Engineering,Northeastern University,Shenyang 110004,China [2]State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110004,China

出　　处：《Chinese Journal of Chemical Engineering》2024年第2期167-179,共13页中国化学工程学报（英文版）

基　　金：supported in part by the National Key Research and Development Program of China(2021YFC2902703);the National Natural Science Foundation of China(62173078,61773105,61533007,61873049,61873053,61703085,61374147)。

摘　　要：Concentrate copper grade(CCG)is one of the important production indicators of copper flotation processes,and keeping the CCG at the set value is of great significance to the economic benefit of copper flotation industrial processes.This paper addresses the fluctuation problem of CCG through an operational optimization method.Firstly,a density-based affinity propagationalgorithm is proposed so that more ideal working condition categories can be obtained for the complex raw ore properties.Next,a Bayesian network(BN)is applied to explore the relationship between the operational variables and the CCG.Based on the analysis results of BN,a weighted Gaussian process regression model is constructed to predict the CCG that a higher prediction accuracy can be obtained.To ensure the predicted CCG is close to the set value with a smaller magnitude of the operation adjustments and a smaller uncertainty of the prediction results,an index-oriented adaptive differential evolution(IOADE)algorithm is proposed,and the convergence performance of IOADE is superior to the traditional differential evolution and adaptive differential evolution methods.Finally,the effectiveness and feasibility of the proposed methods are verified by the experiments on a copper flotation industrial process.

关 键 词：Weighted Gaussian process regression Index-oriented adaptive differential evolution Operational optimization Copper flotation process 

分 类 号：TD952[矿业工程—选矿] TD923[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]