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水质模型参数识别的遗传算法
引用本文:刘国东,姚建,张翔. 水质模型参数识别的遗传算法[J]. 环境污染与防治, 1999, 21(5): 37-39,42
作者姓名:刘国东  姚建  张翔
作者单位:四川联合大学,成都,610065
摘    要:O’connor模型是一个比广泛应用的Streeter-Philips模型更精确的水质模型,由于该模型参数率定的困难性,限制它在实际中应用。

关 键 词:水质模型  参数识别  遗传算法

Using genetic algorithm to identify parameters of a water quality model
Liu Guodong,Yao Jian,Zhang Xiang. Using genetic algorithm to identify parameters of a water quality model[J]. Environmental Pollution & Control, 1999, 21(5): 37-39,42
Authors:Liu Guodong  Yao Jian  Zhang Xiang
Abstract:The genetic algorithm is a new optimization method that combines certainty with randomness in searching process so that the optimization solution of a global problem is possible to be obtained. The method is employed to identify parameters of O'Connor water quality model that is one of accurate water quality models. As result, the parameters obtained by this method are more precision than them by other optimization techniques, such as grid method and simplex search method. Therefore, the genetic algorithm is an efficient and more precision method for identification of parameters in water quality models.
Keywords:Water quality model  Parameter identification  Genetic algorithm  
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