Numerical simulation and optimization of dike geometry using multi-objective evolutionary algorithm NSGA-II
Numerical simulation and optimization of dike geometry using multi-objective evolutionary algorithm NSGA-II
In geotechnical engineering, the implementation of optimization tools into the designing process has been addressed in literature in the past. Since design optimization is undoubtedly one of the most time-consuming parts of civil engineers responsibilities, an understanding of how an optimization tool works is crucial for obtaining feasible results. This paper deals with the application of a nondominated sorting genetic algorithm (NSGA-II) for optimizing a multi-objective geotechnical problem by means of using the strength reduction finite element analysis for proving the stability of a dike. The inclinations of the waterside and landside slopes of a dike are parametrised and serve as variables in the algorithm. The objectives of the problem are minimum material demand and minimum structure exploitation. The study explains the purpose of parameters as well as shows how selection of input parameters, that control the algorithm, influence the efficiency of the algorithm in finding a set of Pareto-optimal solutions.
Kacper Cerek; Jurgen Grabe
10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE2023)
7. Dams, embankments and slopes
https://doi.org/10.53243/NUMGE2023-80
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