| 蚁群算法在马斯京根模型参数估计中的应用 |
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| 引用本文： | 詹士昌,徐婕.蚁群算法在马斯京根模型参数估计中的应用[J].自然灾害学报,2005,14(5):20-24. |
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| 作者姓名： | 詹士昌 徐婕 |
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| 作者单位： | 杭州师范学院,有机硅化学及材料技术教育部重点实验室,微流控芯片研究所,浙江,杭州,310012 |
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| 基金项目： | 杭州师范学院校科研和教改项目 |
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| 摘 要： | 蚁群算法是一种模拟进化算法,该算法具有许多优越的性质.研究了一种可用于求解连续空间优化问题的蚁群算法策略,针对洪水演算的马斯京根模型参数估计问题,应用连续性空间优化问题的蚁群算法模型进行了求解.应用实例表明,蚁群算法在求解连续空间优化问题中是很有效的,可以广泛应用于各种自然灾害模型的优化问题.
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| 关 键 词： | 蚁群算法 洪水演算 马斯京根模型 参数估计 |
| 文章编号： | 1004-4574(2005)05-0020-05 |
| 修稿时间： | 2004年4月7日 |
Application of ant colony algorithm to parameter estimation of Muskingum Routing model |
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| ZHAN Shi-chang,XU Jie.Application of ant colony algorithm to parameter estimation of Muskingum Routing model[J].Journal of Natural Disasters,2005,14(5):20-24. |
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| Authors: | ZHAN Shi-chang XU Jie |
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| Abstract: | The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.In this paper,a new type of ant colony algorithm's explorative strategy which can be applied to solving the continuous space optimization problems is studied.By making use of the ant colony algorithm in the continuous space optimization problems,the parameter estimation of Muskingum routing model is solved.The results of the computer simulation show that the ant colony algorithm is a efficient method for solving the continuous space optimization problems and can be widely used in solving the optimization problem of natural disaster models. |
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| Keywords: | ant colony algorithm flood calculation Muskingum routing model parameter estimation |
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