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

AuthorsScholcz, T.P. and Veldhuis, C.H.J.
Conference/JournalVII International Conference on Computational Methods in Marine Engineering (MARINE2017), Nantes, France
DateMay 15, 2017

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.

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sustainable propulsioncfd developmentcfd/simulation/desk studiesresistance and propulsionshipshull form optimisation