Author(s)

Syed Gous Andrab¹, Ali Hekmat², Zulkifli Bin Yusop³

¹AD & C Management Co., Greenbelt, USA.
²Research Alliance in Resource Sustainability, UTM University, Skudai, Malaysia.
³Resource Sustainability Research Alliance, UTM University, Skudai, Malaysia.

This study briefly reviews the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in geotechnical engineering since GA and PSO are widely used in civil engineering. The application of GA and PSO is studied in three popular families of geotechnical problems including unconfined seepage analysis, slope stability analysis, and foundation design. In each category the available results from different studies are reviewed and compared. The comparison of results shows the desirable accuracy in the predicting of optimal values in the process of analysis and design. The presented methods perform successfully in the reviewed problems. However, PSO predicts the optimum values in fewer numbers of iterations, which suggests higher performance in term of implementation/application.

Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Unconfined Seepage, Slope Stability, Foundation Design

Andrab, S. , Hekmat, A. and Yusop, Z. (2017) A Review: Evolutionary Computations (GA and PSO) in Geotechnical Engineering. Computational Water, Energy, and Environmental Engineering, 6, 154-179. doi: 10.4236/cweee.2017.62012.