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用加速遗传算法计算梯形明渠的临界水深
引用本文:金菊良,张欣莉,丁晶.用加速遗传算法计算梯形明渠的临界水深[J].四川大学学报(工程科学版),2001,33(1):12-15.
作者姓名:金菊良  张欣莉  丁晶
作者单位:四川大学水电学院,
基金项目:国家自然科学基金资助项目(49871018)、中国博士后科学基金和四川大学高速水力学国家重点实验室开放基金资助项目(9904)
摘    要:目前计算梯形断面明渠临界水深hk的常用方法有试算法、图解法、近似公式法和迭代法,它们存在计算精度不高、求解复杂等缺点。为此,把hk的计算问题等价于一非线性优化问题,指出了hk的变化范围,并且用加速遗传算法(AGA)来求解hk。实例的计算结果说明,与常用方法相比,AGA适用性强、计算精度高。

关 键 词:临界水深  加速遗传算法  明渠  梯形断面
文章编号:1009-3087(2001)01-0012-04
修稿时间:2000年3月10日

Computing Critical Water Depth of Trapezoid Open Channel by Using Accelerating Genetic Algorithm
JIN Ju-liang,ZHANG Xin-li,DING Jing.Computing Critical Water Depth of Trapezoid Open Channel by Using Accelerating Genetic Algorithm[J].Journal of Sichuan University (Engineering Science Edition),2001,33(1):12-15.
Authors:JIN Ju-liang  ZHANG Xin-li  DING Jing
Abstract:The traditional methods for computing critical water depth of open channel with trapezoid section (hk) are trial-and-error method, graphic method, approximate solution method and iteration method, whose shortcomings are rough precision, large computation amount and complex resolving problem. For this reason, in this paper, it is pointed out the change range of hk, and that the problem of computing hk is essentially a nonlinear optimal problem, which can be solved with the accelerating genetic algorithm (AGA). The result of the application examples shows that AGA is much more applicable and precise than traditional methods.
Keywords:critical water depth  genetic algorithm  open channel  trapezoid section
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