文章通过引入适应度调节系数、迭代次数调节系数,并基于高斯扰动,提出了一种新的改进型布谷鸟搜索算法GACS,并将其引入新安江模型参数优选中。经改进后的模型用于巨龙湖水库洪水预报中,测试结果表明了改进的算法能够显著提高CS算法的求解精度,模型模拟结果基本满足规范要求,提供预报精度与效率。 In this paper, we introduce a new improved cuckoo search algorithm, GACS, by introducing fitness adjustment coefficients and iteration number adjustment coefficients, and based on Gaussian perturbations, and introduce them into the optimization of Xin’anjiang model parameters. The improved model is applied to the flood forecast of Julong Lake Reservoir. The test results show that the improved algorithm can significantly improve the accuracy of the CS algorithm. The model simulation results basically meet the requirements of the specification and provide forecasting accuracy and efficiency.