Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Li:2009:APPEEC,

• author = "Hongyan Li and Shan Jiang and Xinhua Bao",
• title = "Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir",
• booktitle = "Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009",
• year = "2009",
• month = mar,
• pages = "1--3",
• keywords = "genetic algorithms, genetic programming, Xingxingshao reservoir, reservoir flood routing programming, storage-capacity curve fitting, water-level curve, curve fitting, geophysics computing, level measurement, reservoirs",
• DOI = "doi:10.1109/APPEEC.2009.4918182",
• abstract = "Water-level and storage-capacity curve (WSC) fitting is the foundation and key link of reservoir flood routing programming. Also, its precision directly determines the accuracy of flood routing. In this paper, based on the measured hydrological data, the correlations of water-level and storage-capacity are identified using genetic programming (GP), and the equations of water-level and storage-capacity curve are established. Then, the research results are applied to the feasibility study to enhance the flood limit level of Xingxingshao reservoir. And the results indicate that, compared to the measured data, the water-level and storage-capacity curve identified by GP has a more satisfied accuracy, which provides a fundamental guarantee for the accurate flood routing.",
• notes = "Also known as \cite{4918182}",

}

Genetic Programming entries for Hongyan Li Shan Jiang Xinhua Bao

Citations