WSEAS Transactions on Applied and Theoretical Mechanics
Print ISSN: 1991-8747, E-ISSN: 2224-3429
Volume 13, 2018
Optimization of Shear Wave Velocity (Vs) from a Post-Liquefaction Settlement Using a Genetic Algorithm Multi-Objective NSGA II
Authors: ,
Abstract: Heuristic methods such as neural networks (ANN), genetic algorithms (GA) and particle swarm optimization (PSO) have been widely used in the geotechnical field. Several studies have demonstrated the effectiveness of these methods in predicting and optimizing seen their capacity to address the linear or non-linear problem. Our aim through this work is to apply the principle of back analysis using genetic algorithms NSGA II coupled with a simplified method based on measures of shear wave velocity to identify the shear wave velocity (Vs) on the basis of measure settlement post-liquefaction. The results show that genetic algorithms NSGA II has successfully employed to optimize the shear wave velocity (Vs). However, we can used this method to optimize any geotechnical engineering parameter while the conditions are satisfied.
Search Articles
Pages: 1-7
WSEAS Transactions on Applied and Theoretical Mechanics, ISSN / E-ISSN: 1991-8747 / 2224-3429, Volume 13, 2018, Art. #1