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以花粉算法为基础,采用立方映射产生的混沌序列,模拟花粉配子初始化提高算法的全局搜索能力,加入单纯形算法提高计算精度,建立改进的花粉算法。分别采用基本花粉算法和改进的花粉算法,分析直线供水边界含水层抽水试验数据,确定含水层参数。就种群规模和待估参数初值范围等因素对算法收敛性的影响,进行了数值实验。结果表明,改进的花粉算法能够有效地应用于求解分析抽水试验数据,确定含水层的计算问题;种群规模越大,算法精度越高,但耗时太长;待估参数的取值范围对收敛性有一定的影响,范围较小收敛性更好。较基本的花粉算法,改进的花粉算法具有搜索能力强,计算精度高,收敛速度快等优点。
Based on the pollen algorithm, the chaotic sequence generated by cubic mapping was used to simulate the global search ability of pollen gametes. The simple algorithm was used to improve the accuracy of the algorithm and an improved pollen algorithm was established. The basic pollen algorithm and the improved pollen algorithm were respectively used to analyze the pumping data of the aquifer in the linear water supply boundary to determine the aquifer parameters. The effect of the size of the population and the initial value range of the parameters to be estimated on the convergence of the algorithm is studied and numerical experiments are carried out. The results show that the improved pollen algorithm can be effectively used to solve the pumping test data to determine the calculation of aquifer; the larger the population size, the higher the accuracy of the algorithm, but takes too long; the range of the estimated parameters to the convergence Sex has a certain impact, a smaller range of convergence better. Compared with the basic pollen algorithm, the improved pollen algorithm has the advantages of strong search ability, high computational accuracy and fast convergence.