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A review: evolutionary computations (GA and PSO) in geotechnical engineering

Andrab, Syed Gous and Hekmat, Ali and Yusop, Zulkifli (2017) A review: evolutionary computations (GA and PSO) in geotechnical engineering. Computational Water, Energy, and Environmental Engineering, 6 (2). pp. 154-179. ISSN 2168-1562


Official URL: https://dx.doi.org/10.4236/cweee.2017.62012


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.

Item Type:Article
Uncontrolled Keywords:Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Unconfined Seepage, Slope Stability, Foundation Design
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:81218
Deposited By: Fazli Masari
Deposited On:24 Jul 2019 11:37
Last Modified:24 Jul 2019 11:37

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