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Genetic algorithm for determination of longitudinal dispersion coefficient in river

机译:确定河流纵向弥散系数的遗传算法

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To overcome the difficulty in the identification of parameter of the water environmental system using standard genetic algorithm (SGA), a new method, namely float-type genetic algorithm (FGA), was suggested for determination of longitudinal dispersion coefficient in river. The method which is based on one dimensional water quality model with instantaneous source was validated by an ideal test and a numerical test. The computational results of FGA indicate that the new method can give better precision and faster convergence for tracer test.
机译:为了克服采用标准遗传算法(SGA)识别水环境系统参数的困难,提出了一种新的方法,即漂浮型遗传算法(FGA),用于确定河流的纵向弥散系数。通过一维水质模型的瞬时源验证,通过理想试验和数值试验验证了该方法的有效性。 FGA的计算结果表明,该新方法可以为示踪剂测试提供更好的精度和更快的收敛性。

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