Title :
The Optimization of Navigation Performance for High-Speed Ship Based on an Improved Parallel Genetic Algorithm
Author :
Zhao Jun-jie ; Yang Song-lin ; Li Kun
Author_Institution :
Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
Abstract :
The paper established a mathematical model of integrated optimization of the navigation performance for a high-speed ship, improved the genetic algorithm to a new parallel genetic algorithm based on the sensitive variable, and applied to an integrated optimization problem of high-speed ship navigation performance. Compared with GA, the optimization results indicate that the improved parallel genetic algorithm is reliable and efficient.
Keywords :
genetic algorithms; ships; transportation; high-speed ship; improved parallel genetic algorithm; navigation performance integrated optimization; sensitive variable; Gallium; Indexes; Marine vehicles; Mathematical model; Navigation; Optimization; Stability analysis;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5676719
