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Multi expression programming: a new approach to formulation of soil classification

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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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Authors and Affiliations

  1. College of Civil Engineering, Iran University of Science & Technology, Tehran, Iran

    Amir Hossein Alavi

  2. The Highest Prestige Scientific and Professional National Foundation, National Elites Foundation, Tehran, Iran

    Amir Hossein Gandomi

  3. College of Civil Engineering, Tafresh University, Tafresh, Iran

    Mohammad Ghasem Sahab

  4. School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Mostafa Gandomi

Authors
  1. Amir Hossein Alavi
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  2. Amir Hossein Gandomi
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  3. Mohammad Ghasem Sahab
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  4. Mostafa Gandomi
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Correspondence to Amir Hossein Gandomi.

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Alavi, A.H., Gandomi, A.H., Sahab, M.G. et al. Multi expression programming: a new approach to formulation of soil classification. Engineering with Computers 26, 111–118 (2010). https://doi.org/10.1007/s00366-009-0140-7

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  • DOI: https://doi.org/10.1007/s00366-009-0140-7

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