Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil‐moisture accounting model
Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil‐moisture accounting model
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DOI：
10.1029/2010wr009224
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发表时间：
2010-09
影响因子：
5.4
通讯作者：
Wei Chu;Xiaogang Gao;S. Sorooshian
中科院分区：
文献类型：
--
作者：
Wei Chu;Xiaogang Gao;S. Sorooshian
提出了一种新的算法--带主成分分析的混洗复合体(SP-UCI)算法，以克服混洗复杂进化算法的一个关键缺陷：种群退化。种群退化是指在进化搜索过程中，搜索粒子的种群可能退化到全参数空间的一个子空间，从而失去充分探索参数空间的能力。被限制在一个子空间中甚至可能导致粒子群收敛到不稳定的点，这是一个致命的故障。为了克服这一问题，SP-UCI采用主成分分析来检测种群退化的发生并纠正其不利影响。在密西西比州莱夫河流域，用SP-UCI方法对萨克拉门托土壤水分计算模型进行了联合校准，以最小的记录记录了模拟日径流与观测值的均方根误差，从而获得了最佳参数值。此外，结果还提供了一致的(窄范围)模型参数分布，这使得在给定流域的水文特征的情况下更好地理解模型的行为。
An innovative algorithm, shuffled complexes with principal components analysis (SP‐UCI), is developed to overcome a critical deficiency of the shuffled complex evolution scheme: population degeneration. Population degeneration means that, during the evolutionary search process, the population of search particles may degenerate into a subspace of the full parameter space, thereby missing the capacity of fully exploring the parameter space. Being confined in a subspace may even lead the particle population to converge to nonstationary points, which is a fatal malfunction. To overcome this problem, SP‐UCI employs the principal components analysis to detect the occurrence of population degeneration and remedy the adverse effects. The ensemble of calibrations of the Sacramento soil moisture accounting model with the SP‐UCI method over the Leaf River basin, Mississippi, retrieves the optimal parameter values with the lowest recorded root‐mean‐squared error of simulated daily runoff against the observation. Moreover, the result also provides consistent (narrow ranges) model parameter distribution, which results in a better understanding of the model's behavior, given the watershed's hydrologic features.