| 融合MCMC 方法的差分进化算法在水文模型参数优选中的应用 |
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| 引用本文： | 曹飞凤,尹祖宏. 融合MCMC 方法的差分进化算法在水文模型参数优选中的应用[J]. 南水北调与水利科技（中英文）, 2015, 13(2): 202-205 |
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| 作者姓名： | 曹飞凤 尹祖宏 |
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| 作者单位： | ( 1. 浙江工业大学建筑工程学院港口航道与海岸工程系, 杭州310014;2. 浙江大学海洋学院港口、海岸与近海工程研究所, 杭州310058) |
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| 基金项目： | 国家自然科学基金( 50809058) |
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| 摘 要： | 传统差分进化算法在优选水文模型参数时容易出现"早熟收敛"问题,基于马尔可夫链蒙特卡罗方法的差分进化算法——DREAM算法,对嘉陵江流域降雨径流模型的参数优选问题进行了分析。结果发现,DREAM算法融合了自适应Metropolis方法的优点,能有效克服"早熟收敛"问题,适用于推求先验信息较少的复杂水文模型参数后验分布。
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| 关 键 词： | 差分进化算法 MCMC方法 参数优选 DREAM算法 降雨径流模型 |
Application of differential evolution algorithm combinedwith Markov Chain Monte Carlo in parameter optimization of hydrologic model |
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| CAO Fei-feng,YIN Zu-hong. Application of differential evolution algorithm combinedwith Markov Chain Monte Carlo in parameter optimization of hydrologic model[J]. South-to-North Water Transfers and Water Science & Technology, 2015, 13(2): 202-205 |
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| Authors: | CAO Fei-feng YIN Zu-hong |
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| Affiliation: | ( 1. I ns titute of H ar bo r2Channel and Coastal Eng ineer ing , Dep artment of Civil Engineer ing , Zhej iang Univ er sityo f Technology , H angz hou 310014, China; 2. I ns titute of H ar bor and Coastal Engineer ing ,College of Ocean, Zhej iang Univ er sity , H angz hou 310058, China) |
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| Abstract: | Premature conver gence pro blem ex ists in the parameter o ptimization of hydro log ical mo del using the t raditio nal differ2ential evo lution. In this paper, differ ential evo lutio n adaptive metro po lis algo rithm( DREAM) w as pro po sed, w hich combines theadvantag es o f differential ev olut ion algo rithm and Mar ko v Chain M onte Carlo( MCMC) sampler , and applied in the parameteroptimizatio n o f CMD23PAR hydro log ic model in the Jialing River Basin. The results show ed that DREAM has the advantag es ofself2adaptiv e Metro po lis method, can effectiv ely o vercome the pro blem o f premature converg ence, and is capable to infer the pos2ter io r distributio n o f model parameters w hich is lack of prior info rmation. |
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| Keywords: | differ ential ev olut ion a lg orithm Markov Chain Mo nte Carlo metho d par amet er optimizatio n Differential Evo lutio nAdaptive Metr opolis r ainfall2runoff model |
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