Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s00366-009-0140-7 | Eng. Comput. (Lond.) |
Keywords | Field | DocType |
mep-based formula,liquid limit,plastic limit,multi expression programming,fine-grained particle,soil classification,genetic programming,alternative approach,new approach,multi expression programming � soil classificationformulation,analytical result,mep-based formulation result | Atterberg limits,Mathematical optimization,Genetic programming,Multi expression programming,Mathematics,Soil classification,Soil water | Journal |
Volume | Issue | ISSN |
26 | 2 | 1435-5663 |
Citations | PageRank | References |
16 | 1.37 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hossein Alavi | 1 | 1016 | 45.59 |
| Amir Hossein Gandomi | 2 | 1836 | 110.25 |
| Mohammad Ghasem Sahab | 3 | 16 | 1.37 |
| Mostafa Gandomi | 4 | 16 | 1.37 |