On the Calibration of Multigene Genetic Programming to Simulate Low Flows in the Moselle River

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@Article{DanandehMehr:2016:uujfe,

• author = "Ali {Danandeh Mehr} and Mehmet Cuneyd Demirel",
• title = "On the Calibration of Multigene Genetic Programming to Simulate Low Flows in the {Moselle} River",
• journal = "Uludag University Journal of The Faculty of Engineering",
• year = "2016",
• volume = "21",
• number = "2",
• pages = "365--376",
• month = dec,
• keywords = "genetic algorithms, genetic programming, Low flows, calibration, ANN, HBV, GR4J",
• URL = "http://mmfdergi.uludag.edu.tr/article/view/5000195603",
• URL = "http://mmfdergi.uludag.edu.tr/article/view/5000195603/5000179033",
• DOI = "doi:10.17482/uumfd.278107",
• size = "12 pages",
• abstract = "The aim of this paper is to calibrate a data-driven model to simulate Moselle River flows and compare the performance with three different hydrologic models from a previous study. For consistency a similar set up and error metric are used to evaluate the model results. Precipitation, potential evapotranspiration and streamflow from previous day have been used as inputs. Based on the calibration and validation results, the proposed multigene genetic programming model is the best performing model among four models. The timing and the magnitude of extreme low flow events could be captured even when we use root mean squared error as the objective function for model calibration. Although the model is developed and calibrated for Moselle River flows, the multigene genetic algorithm offers a great opportunity for hydrologic prediction and forecast problems in the river basins with scarce data issues.",

}

Genetic Programming entries for Ali Danandeh Mehr Mehmet Cuneyd Demirel

Citations