摘要
基于机理模型的稀土萃取工艺流程没有考虑萃取槽中搅拌机的能效,导致求解得到的各级组分含量与工业实际生产数据有较大误差.通过引入能效分离系数概念,建立符合实际萃取工艺的各萃取槽稀土元素组分含量模型,构建求解能效分离系数的优化目标函数.针对该优化目标函数多峰、多变量的特点,提出一种种群规模线性减小的混沌双变异自适应差分进化改进算法(LCTADE).首先,将混沌序列嵌入改进算法中生成初始种群,增强种群多样性;其次,针对进化不同阶段对突变策略性能要求不同,提出基于DE/current-to-pbest/1和DE/rand/1的双变异策略方法;最后,采用参数自适应方法分别设置F、CR及NP值.在仿真实验中,将所提出的LCTADE方法针对CEC 2017的函数进行测试并与其他算法比较,显示出其优越性,并通过求解基于能效分离系数的稀土萃取工艺流程优化目标函数,表明所提出方法的有效性.
The rare earth extraction process based on mechanism models does not consider mixer’s energy efficiency in the extraction tank leading to a large error with the solvable content at each level and the industrial production data.This paper introduces the concept of energy efficiency separation coefficient,establishes a model which meets the actual content of rare earth elements in each extraction tank,and constructs an optimized objective function for solving the energy efficiency separation coefficient.Aiming at the multi-peak and multi-variable characteristics of the optimized objective function,an improved chaotic double mutation adaptive differential evolution algorithm(LCTADE)with linear population reduction is proposed.Firstly,the chaotic sequence is embedded in the improved algorithm to generate the initial population,which enhances the diversity of the population.Then in view of the different performance requirements of the mutation strategy in different evolution stages,a method based on the DE/current-to-pbest/1 and DE/rand/1 double mutation strategy is proposed.Finally,different parameter adaptive methods are used to set the F,CR and NP values.In the simulation experiment,the function of the improved LCTADE on CEC 2017 is tested and compared with other algorithms.The results show that the LCTADE is significantly better than other algorithms.The proposed algorithm is used to solve the energy efficiency separation coefficient of rare earth extraction process and optimize the objective functions,which shows its effectiveness.
作者
朱建勇
常文佳
徐芳萍
杨辉
ZHU Jian-yong;CHANG Wen-jia;XU Fang-ping;YANG Hui(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China;Key Laboratory of Advanced Control and Optimization of Jiangxi Province,Nanchang 330013,China)
出处
《控制与决策》
EI
CSCD
北大核心
2023年第6期1524-1532,共9页
Control and Decision
基金
国家重点研发计划项目(2020YFB1713700)
国家自然科学基金重点项目(61733005)
国家自然科学基金地区项目(61963015,61863014)
江西省自然科学基金项目(20202BAB202005).
关键词
稀土萃取流程
能效分离系数
差分进化算法
混沌
双变异策略
自适应
rare earth extraction process
energy efficiency separation factor
differential evolution algorithm
chaos
two mutation strategies
self-adaptive
