Application of Mixture Experiments in Ship Resistance Optimization

Two problems are existed in hull form optimization, 1.the number of iterations leads to large amount of computation; 2.the global optimization algorithms are not so efficient to obtain a global optimal result. This paper uses Uniform Designs for Mixture Experiments in hull form optimization to resolve them, focuses on its theory and proves the uniformity in design space. The KCS is taken as the example to certify its significance. Global algorithm and uniform designs for mixture experiments are respectively adopted in hull form optimization. Finally, the results of two methods are compared. It shows that global optimization methods are able to get a hull form with better performance, but it needs a lot of time. While Uniform Designs for Mixture Experiments can get a hull form with better performance in a relatively shorter time which has great advantage.