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基于适应策略差分进化算法的化工反应动力学参数估值

徐斌 陈旭 陶莉莉 张海峰

化工进展2018,Vol.37Issue(6):2077-2083,7.
化工进展2018,Vol.37Issue(6):2077-2083,7.DOI:10.16085/j.issn.1000-6613.2017-1682

基于适应策略差分进化算法的化工反应动力学参数估值

Differential evolution using adaptive strategy for parameter estimation of chemical reaction kinetics

徐斌 1陈旭 2陶莉莉 3张海峰4

作者信息

  • 1. 上海工程技术大学机械工程学院,上海 201620
  • 2. 化工过程先进控制和优化技术教育部重点实验室(华东理工大学),上海 200237
  • 3. 江苏大学电气信息工程学院,江苏 镇江 212013
  • 4. 上海第二工业大学工学部,上海 201209
  • 折叠

摘要

Abstract

To better predict the percentage of mercury oxidized based on the concentrations of other flue gas components,an accurate kinetic model for Hg oxidation needs to be developed. The existing models always contain some unknown parameters that are difficult to identify. To extract these parameters exactly and fast,this paper puts forward an adaptive strategy based on differential evolution (ASDE). The new ASDE contains candidate set for mutation strategy,scale factor(F)and crossover rate(CR). Each value in every candidate set has its own selection probability and the selection probability is updated according to the previous search information. Based on the selection probability, an adaptive model is designed to set the most proper control parameters for every vector in the main population. The ASDE is applied to solve parameter estimation problem of Hg oxidation models. The experimental results showed that ASDE is able to obtain more accurate model than other 6 algorithms. It is an effective approach for parameter estimation of chemical reaction kinetics.

关键词

差分进化/适应性策略/优化/反应动力学/参数估值

Key words

differential evolution/adaptive strategy/optimization/reaction kinetics/parameter estimation

分类

信息技术与安全科学

引用本文复制引用

徐斌,陈旭,陶莉莉,张海峰..基于适应策略差分进化算法的化工反应动力学参数估值[J].化工进展,2018,37(6):2077-2083,7.

基金项目

国家自然科学基金(61703268)、中央高校基本科研业务费重点科研基地创新基金(222201717006)、上海高校青年教师培养资助计划(ZZgcd14002)及江苏省自然科学基金(BK20160540)项目. (61703268)

化工进展

OA北大核心CSCDCSTPCD

1000-6613

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