Sequential Design-Space Reduction and Its Application to Hull-Form Optimization

Hull-form optimization is a complex engineering problem. Owing to the several numerical simulations and design-performance spaces, hull-form considered an inefficient process, which makes determining global optimum difficult. This study used rough set theory (RST) acquire knowledge reduce design space for optimization. Furthermore, we studied one of problems by practically applying RST appropriate number sampling points. To solve this problem, proposed RST-based sequential design-space reduction (SDSR) method that uses interval calculate subspace intersections unions, as well test calculations choose stopping criterion. Finally, SDSR was optimize KRISO container ship minimize wave-making resistance. The results were compared those direct one-time reduction, thus proving feasibility method.