A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization

A comparative study of combined surrogate models and evolutionary algorithms for ship resistance optimization

“…The RBF and Kriging surrogate models are utilized as cost functions. The optimization aims to search for the optimal parameter combination in the solution space, considering a 20% fluctuation in decision variables and a 5% fluctuation in displacement volume [9] .…”