基于改进差分进化的稀土萃取能效分离系数优化
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华东交通大学

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TP273

基金项目:

国家重点研发计划:2020YFB1713700;国家自然科学基金重点项目 61733005;地区项目 61963015, 61863014;江西省自然科学基金资助项目20202BAB202005


Efficiency Separation Coefficient Optimization of Rare Earth Extraction Based on Improved Differential Evolution
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Affiliation:

East China Jiaotong University

Fund Project:

Supported by the National Key Research and Development Program of China(2020YFB1713700);Supported by the National Natural Science Foundation of China (61733005);Regional project(61963015, 61863014);Supported by the Natural Science Foundation of Jiangxi Province (20202BAB202005)

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    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.本文引入能效分离系数概念,建立符合实际萃取工业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,提出一种种群线性减小的混沌双变异自适应差分进化改进算法LCTADE(Linear-Chaos and Two Mutation Strategies of Adaptive Differential Evolution),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/c-urrent-to-pbest/1和DE/rand/1的双变异策略方法;最后,采用不同的参数自适应方法设置F、CR以及NP值.在仿真实验中,首先将本文提出的LCTADE方法针对CEC2017的函数测试并与其他算法比较,显示其优越性;然后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,表明本文所提方法的有效性.

    Abstract:

    The rare earth extraction process based on mechanism model 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 construct 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. First, the chaotic sequence is embedded in the improved algorithm to generate the initial population, which enhances the diversity of the population; secondly, in view of the different performance requirements of the mutation strategy in different evolution stages, the method proposed in this paper is based on DE/current-to-pbest/1 and DE/rand/1 double mutation strategy method; finally, use different parameter adaptive methods to set the F, CR and NP values. In the simulation experiment, first, test the function of the improved LCTADE on CEC2017 and compare it with other algorithms. The results show that LCTADE is significantly better than other algorithms. Then use it to solve the energy efficiency separation coefficient of rare earth extraction process and optimize objective function, which shows the effectiveness of the method proposed in this paper.

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  • 收稿日期:2021-09-26
  • 最后修改日期:2022-01-25
  • 录用日期:2022-01-28
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