Sustainable Dike Adaptation Measures Using Finite Element Method and Optimization Algorithm NSGA-II

Given the context of climate change, it is imperative to adapt the majority of existing flood defence systems using sustainable methods. Multi-objective evolutionary algorithms, like NSGA-II, offer a valuable decision support tool for exploring different designs based on predefined objectives. This paper specifically examines the application of the NSGA-II optimization algorithm in geotechnical problems by integrating it with FEM simulations, where slope horizontal runs are considered as variables. Throughout the study, different sets of termination criteria are employed to optimize the reduction of structural exploitation and the expected CO2 footprint.