The optimization method study of main mechanics performance of the high-speed inland ship

Author

Song-lin, Yang ; Zhao-long, Yang ; Jun, Xie ; Jun-jie, Zhao ; Kun, Li

Author_Institution

Jiangsu Univ. of Sci. & Technol., Zhenjiang, China

fYear

2011

fDate

26-28 March 2011

Firstpage

1055

Lastpage

1061

Abstract

In this paper, a hierarchical parallel genetic-chaos algorithm is advanced basing on parallel thinking, genetic algorithm and new chaos algorithm and it is called HP-GA-CX. 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 main mechanics performance of the transitional inland ship. 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 is reliable and efficient so that it lays a solid foundation for hull form optimization design and evaluation analysis of the high-speed inland ships.

Keywords

C++ language; chaos; genetic algorithms; graphical user interfaces; mechanical engineering computing; ships; HP-GA-CX method; VC++ software; graphical user interface; hierarchical parallel genetic chaos algorithm; highspeed inland ship; hull; mechanics performance; optimization method; parallel thinking; Algorithm design and analysis; Chaos; Genetic algorithms; Marine vehicles; Mathematical model; Optimization; Software algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9440-8

Type

conf

DOI

10.1109/ICIST.2011.5765153

Filename

5765153