| 微粒群多目标优化率定暴雨管理模型(SWMM)研究 |
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| 引用本文： | 王磊,周玉文.微粒群多目标优化率定暴雨管理模型(SWMM)研究[J].中国给水排水,2009,25(5). |
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| 作者姓名： | 王磊 周玉文 |
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| 作者单位： | 北京工业大学,建筑工程学院,北京,100124 |
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| 摘 要： | 针对SWMM存在模型参数多、率定困难的问题,采用微粒群算法(PSO0)对SWMM模型进行优化率定研究,完成了高维多目标优化率定过程.算例结果表明,微粒群算法可以有效地完成优化率定过程,并能实现多目标优化,这对模型率定和实际城市防汛工作具有一定指导意义.
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| 关 键 词： | 微粒群算法 率定 多目标优化 SWMM模型 |
Study on PSO Multi-objective Calibration of SWMM |
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| WANG Lei,ZHOU Yu-wen.Study on PSO Multi-objective Calibration of SWMM[J].China Water & Wastewater,2009,25(5). |
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| Authors: | WANG Lei ZHOU Yu-wen |
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| Affiliation: | College of Architecture and Civil Engineering;Beijing University of Technology;Beijing 100124;China |
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| Abstract: | Aimed at calibration difficulties and many parameters of the storm water management model(SWMM),the particle swarm optimization(PSO) was used to calibrate SWMM,and the multi-objective optimization was achieved.The results show that PSO can effectively calibrate the model parameters and achieve multi-objective optimization,which has practical significance for model calibration and municipal flood control. |
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