Approximated model instead of computational fluid dynamics tool is utilized for performance analysis in hull form optimization process, which can save time significantly. Sample selection is the central issue of approximated model building. This article focuses on the sample selection method and the application of approximated model in hull form optimization. Latin hypercube sampling and uniform design are compared. The uniform design based on genetic algorithm approach is proposed. The radial basis function interpolation method is used for hull surface automatic modification. An approximated model using a neural network for ship resistance performance is established. The stem profile's optimization for the Korea Research Institute of Ships and Ocean Engineering (KRISO) container ship is completed. The results show that hull form optimization based on the approximated model can significantly improve optimization efficiency and is practical for engineering design.
This paper presents a new space model for collision avoidance, ship dynamic collision avoidance space model (SDCASM). The model reserves all information for collision avoidance and the speed of collision avoidance calculation would be quicker. To verify the validity of the model, an enhanced optimization algorithm, genetic annealing algorithm (GAA), is applied to trajectory optimization for collision avoidance based on the SDCASM. At last, model and algorithm that put forward in this paper is applied to inland waterway ship collision avoidance. And several simulations are implemented in curve sea-route of inland waterway. As a result of this study, it could offer a safe and economic trajectory for ship avoiding collision towards establishing the inland waterway ship automatic collision avoidance system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.