Abstract
Genetic Programming (GP) is an evolutionary method that creates computer programs that represent approximate or exact solutions to a problem. This paper proposes an application of GP in hydrology, namely for modelling the effect of rain on the run-off flow in a typical urban basin. The ultimate goal of this research is to design a real time alarm system to warn of floods or subsidence in various types of urban basin. Results look promising and appear to offer some improvement over stochastic methods for analysing river basin systems such as unitary radiographs.
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© 2002 Springer-Verlag Berlin Heidelberg
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Dorado, J., Rabuñal, J.R., Puertas, J., Santos, A., Rivero, D. (2002). Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. In: Cagnoni, S., Gottlieb, J., Hart, E., Middendorf, M., Raidl, G.R. (eds) Applications of Evolutionary Computing. EvoWorkshops 2002. Lecture Notes in Computer Science, vol 2279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46004-7_20
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DOI: https://doi.org/10.1007/3-540-46004-7_20
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