Estimating The Strength Of Soil Stabilized With Cement And Lime At Optimal Compaction Using Ensemble-based Multiple Machine Learning

This article discusses the use of evolutionary polynomial regression (EPR) and gene expression programming (GEP) techniques for predicting the compressive strength of lime/cement stabilized clayey subgrade soil and peat. The study found that both techniques outperformed traditional methods and could be useful in designing flexible pavements.