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Solution of Critical Water Depth Trapezoid Open Channel by SARAGA

机译:SARAGA解决临界水深梯形明渠的问题

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The critical depth of water is an important hydraulic parameter in open channel hydraulics, which is a key sign of the state of water flow in open channel. Some usual method for calculating critical water depth of trapezoid open channel are trial method, approximate solution and iteration method, whose shortcomings are needing great quantity of calculation and rough accuracy of solution. A method of Accelerating Genetic Algorithm based on real coding (RAGA) was adopted to overcome the shortcomings in this paper. The Simulated Annealing algorithm (SA) was used to improve the convergence rate during the late of evolution of RAGA. The result of case study shows that SA can prevent from a local optimal value during the course of late period of optimization of RAGA and it is showed that convergence rate of SARAGA was faster 20% than that of RAGA. The accuracy of calculated results of SARAGA is higher than that of usual optimal methods for solve a critical depth of trapezoid open channel. Furthermore, SARAGA can be used to deal with some optimization problems in other fields.
机译:水的临界深度是明渠水力中的重要水力参数,这是明渠水流状态的关键标志。梯形明渠临界水深的一些常用计算方法是试验法,近似解法和迭代法,它们的缺点是计算量大,求解精度差。为克服上述缺点,本文采用了一种基于实编码的遗传算法加速算法。模拟退火算法(SA)用于提高RAGA演进后期的收敛速度。实例研究结果表明,在RAGA优化的后期,SA可以阻止局部最优值,并且表明SARAGA的收敛速度比RAGA的收敛速度快20%。 SARAGA的计算结果的准确性高于解决梯形明渠临界深度的常用最佳方法的准确性。此外,SARAGA可用于处理其他领域中的一些优化问题。

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