A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction
A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction
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基于 DNA 的氢化反应参数估计遗传算法
DOI：
10.1016/j.cej.2009.03.016
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发表时间：
2009-08-01
影响因子：
15.1
通讯作者：
Wang, Ning
中科院分区：
文献类型：
--
作者：
Chen, Xiao;Wang, Ning
受生物DNA机理的启发，提出了一种基于DNA的遗传算法（DNA- ga）来确定氢化反应的动力学参数。所考虑的化学过程包含5个反应和25个未知参数。DNA- ga采用DNA编码方法来表示潜在参数，并设计了从生物DNA中获得灵感的遗传算子来寻找全局最优解。对典型基准函数的性能研究表明，DNA-GA在收敛速度和精度上都优于其他两种方法。基于某工业加氢装置的运行数据，采用DNA-GA方法得到了25个参数，并建立了加氢反应的动力学模型。为了验证所建立的模型的有效性，使用另外四组数据对所建立的模型和先前报道的两个模型进行测试。结果表明，DNA-GA模型的相对误差平方和最小，预测结果与实际操作数据吻合较好。(C) 2009 Elsevier B.V.版权所有
Inspired by the mechanism of the biological DNA, a DNA based genetic algorithm (DNA-GA) is proposed to determine the kinetic parameters for the hydrogenation reaction. The considered chemical process contains five reactions and 25 unknown parameters. The DNA-GA uses the DNA encoding method to represent the potential parameters and genetic operators inspired from the biological DNA are designed to find the global optimum. The study on the performance for typical benchmark functions shows that the DNA-GA outperforms the other two methods in both convergence speed and accuracy. Based on the operating data gathered from an industrial hydrogenation unit, 25 parameters are obtained by the DNA-GA and the kinetic model for the hydrogenation reaction is established. To verify the validity of the established model, another four groups of data are used to test the established model and two previously reported models. The comparison results show that the sum of square relative errors of the model obtained by the DNA-GA is the least of the test models, and its prediction is in good agreement with the practical operating data. (C) 2009 Elsevier B.V. All rights reserved.