Multi expression programming: a new approach to formulation of soil classification |
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Authors: | Amir Hossein Alavi Amir Hossein Gandomi Mohammad Ghasem Sahab Mostafa Gandomi |
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Affiliation: | 1. College of Civil Engineering, Iran University of Science & Technology, Tehran, Iran 2. The Highest Prestige Scientific and Professional National Foundation, National Elites Foundation, Tehran, Iran 3. College of Civil Engineering, Tafresh University, Tafresh, Iran 4. School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
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Abstract: | This paper presents an alternative approach to formulation of soil classification by means of a promising variant of genetic programming (GP), namely multi expression programming (MEP). Properties of soil, namely plastic limit, liquid limit, color of soil, percentages of gravel, sand, and fine-grained particles are used as input variables to predict the classification of soils. The models are developed using a reliable database obtained from the previously published literature. The results demonstrate that the MEP-based formulas are able to predict the target values to high degree of accuracy. The MEP-based formulation results are found to be more accurate compared with numerical and analytical results obtained by other researchers. |
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