Linear genetic programming for prediction of circular pile scour |
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| Authors: | Aytac Guven HMd Azamathulla NA Zakaria |
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| Institution: | 1. Department of Civil Engineering, University of Gaziantep, 27310 Gaziantep, Turkey;2. River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Malaysia |
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| Abstract: | Genetic programming (GP) has nowadays attracted the attention of researchers in the prediction of hydraulic data. This study presents linear genetic programming (LGP), which is an extension to GP, as an alternative tool in the prediction of scour depth around a circular pile due to waves in medium dense silt and sand bed. Field measurements were used to develop LGP models. The proposed LGP models were compared with adaptive neuro-fuzzy inference system (ANFIS) model results. The predictions of LGP models were observed to be in good agreement with measured data, and quite better than ANFIS and regression-based equation of scour depth at circular piles. The results were tabulated in terms of statistical error measures and illustrated via scatter plots. |
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