基于遗传算法的活性污泥工艺识别

2017 International Conference on Engineering & MIS (ICEMIS) Pub Date : 2017-05-01 DOI:10.1109/ICEMIS.2017.8273013

Intissar Khoja, T. Ladhari, A. Sakly, F. Msahli

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引用次数: 1

摘要

本文研究了一种优化方法的应用，即遗传算法，以确定废水处理中活性污泥工艺的参数。所研究的模型是一个混合降阶模型。遗传算法试图找出最优参数，以确保测量输出和仿真输出之间的均方误差最小。仿真结果表明，该方法能够有效地捕捉到真实的模型参数值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Activated sludge process identification based on genetic algorithm

This paper investigates the application of an optimization method, which is the genetic algorithm, in order to identify the parameters of an activated sludge process for waste water treatment. The studied model is a hybrid reduced-order one. The genetic algorithm tries to find out the optimal parameters that ensure a minimal mean square error between the measured and simulation outputs. Simulation results show the competence of the proposed approach to seize the true model's parameter values.

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2017 International Conference on Engineering & MIS (ICEMIS)

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