Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming

Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming

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Part of #Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming# :

Publishing year : 2009

Conference : Eighth International Congress of Civil Engineering

Number of pages : 8

Abstract: This paper presents a novel approach for determination of soil classification using a hybrid search algorithm that couples genetic programming (GP) and simulated annealing (SA) as a combined algorithm called GP / SA. Properties of soil, namely, plastic limit, liquid limit, color of soil, percentage of gravel, sand, and fine grained particles were used as input variables to the models to determine the soil classification. The odels were developed using a reliable database derived from previously published literature. The results of GP / SA based formulations were found to be more accurate as compared to experimental, numerical and analytical results obtained by other researchers.