Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations

For a practical application it is shown that the computational time reduces from two weeks to only a day when using Surrogate Based Global Optimization (SBGO) instead of applying a Multi-Objective Genetic Algorithm (MOGA) directly to the solver. The design review phase is then used to verify and further develop the optimal design.