| 粒子群优化算法在水文科学中的应用进展 |
| |
| 引用本文： | 董前进,曹广晶,王先甲,戴会超,赵云发.粒子群优化算法在水文科学中的应用进展[J].工程科学,2010,12(1):81-85. |
| |
| 作者姓名： | 董前进 曹广晶 王先甲 戴会超 赵云发 |
| |
| 作者单位： | 1.武汉大学水资源与水电工程科学国家重点实验室，武汉430072;
2.中国长江三峡集团公司，湖北宜昌443002；;中国长江三峡集团公司，湖北宜昌443002；;武汉大学经济与管理学院，武汉430072;中国长江三峡集团公司，湖北宜昌443002；;中国长江三峡集团公司，湖北宜昌443002； |
| |
| 基金项目： | 国家科技支撑计划（2008BAB29B09）；国家自然科学基金（50909073）；武汉大学水资源与水电工程科学国家重点实验室开放研究基金（2007C017）；中国博士后科学基金（20080440956） |
| |
| 摘 要： | 介绍了粒子群算法的标准算法及流程，探讨了粒子群算法在水库优化调度、水电站经济运行、参数优选等水文领域中的研究成果和存在的问题，指出未来应该加强粒子群算法改进机理和收敛性能的研究，并与其他算法技术相比较、结合，拓展其在水文科学领域的应用范围，为解决水文领域中大量优化问题提供新途径。
|
| 关 键 词： | 水文科学 粒子群优化算法 优化调度 经济运行 |
Application prospect of PSO in hydrology |
| |
| Dong Qianjin,Cao Guangjing,Wang Xianji,Dai Huichao and Zhao Yunfa.Application prospect of PSO in hydrology[J].Engineering Sciences,2010,12(1):81-85. |
| |
| Authors: | Dong Qianjin Cao Guangjing Wang Xianji Dai Huichao and Zhao Yunfa |
| |
| Institution: | State Key Laboratory of Water Resources and 1.Hydropower Engineering Science,
Wuhan University, Wuhan 430072, China;2.China Three Gorges Corporation,
Yichang Hubei 443002, China;3.Economics and Management School of
Wuhan University,Wuhan 430072,China;State Key Laboratory of Water Resources and Hydropower Engineering Science,
Wuhan University, Wuhan 430072, China;;China Three Gorges Corporation,
Yichang Hubei 443002, China;;State Key Laboratory of Water Resources and Hydropower Engineering Science,
Wuhan University, Wuhan 430072, China;;State Key Laboratory of Water Resources and Hydropower Engineering Science,
Wuhan University, Wuhan 430072, China; |
| |
| Abstract: | The basic algorithm and its flow are introduced at first, then its application to scheduling operation of reservoir, economic operation of hydropower and parameter calibration in hydrology field is discussed, the suggestion for future study is pointed out that should strengthen the study of adaptive mechanism and convergence performance in PSO, compare and combine with other technology, broaden the region of application to hydrology which may supply a new method for solving much optimal problem in hydrology field. |
| |
| Keywords: | hydrology science particle swarm optimization scheduling operation economical operation |
|
| 点击此处可从《工程科学》浏览原始摘要信息 |
| 点击此处可从《工程科学》下载免费的PDF全文 |
|
