期刊
ENGINEERING WITH COMPUTERS
卷 26, 期 2, 页码 111-118出版社
SPRINGER
DOI: 10.1007/s00366-009-0140-7
关键词
Multi expression programming; Soil classification; Formulation
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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