AUTHORS: Kamel Goudjil, Badreddine Sbartai
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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
KEYWORDS: Genetic Algorithm (NSGA II), liquefaction, Shear Wave Velocity, Settlement.
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