The HPCXFGA method of main navigation performance and structure characteristic of the high-speed monohull inland ship

In this paper, a hierarchical parallel chaos algorithm is designed based on parallel thinking, chaos theory and weighted distance rule and it is called new chaos algorithm (CX), and then based on parallel thinking, fuzzy theory, genetic algorithm and new chaos algorithm, a hierarchical parallel chaos fuzzy genetic algorithm is advanced and it is called HPCXFGA. This new algorithm is programmed by VC++ into software which has a user-friendly graphical interface of good interactivity and applied to solving that mathematical model of synthetically optimizing navigation performances and structural properties for high-speed monohull inland ships. Quantities of computation results of different solving methods show that compared with other methods such as GA, chaos algorithm and their parallel algorithms, this composite algorithm can overcome GA´s premature convergence and is reliable and efficient so that it lays a solid foundation for form optimization design and evaluation analysis of inland ships.