Key Technology of Artificial Intelligence in Hull Form Intelligent Optimization

Abstract

Hull form optimization is an important aspect of ship hydrodynamic research, and the primary target of ship design. More and more researchers are focusing on hull form intelligent optimization in recent years. First of all, this paper summarizes the development of ship hull form optimization, as well as the technology used. Then the principle of ship optimization is summarized, and on this basis, the function and framework of ship intelligent optimization are summarized. The key technologies in the process of intelligent optimization are contributed: 1) Non-Uniform Rational B-Splines(NURBS) surface generation technology, including parametric modeling technology and non-parametric modeling technology; 2) surrogate model technology, including artificial neural network(ANN), machine learning(ML) and deep learning(DL); 3) optimization algorithm, including genetic algorithm(GA), ant colony algorithm(ACA) and artificial bee colony algorithm(ABC). Finally, the difficulties and challenges of the key technologies are analyzed. Based on artificial intelligence technology, hull form optimization can effectively improve its efficiency and provide key technical support for ship intelligent optimization.