基于遗传-混沌算法的船舶动力学性能综合优化研究  

Study on synthetical optimization of performance of ship dynamics based on GA-chaos

作　　者：周玉龙[1] 杨松林[1] 奚炜[1] 陈淑玲[1] 张火明[2] 

机构地区：[1]江苏科技大学,江苏镇江212003 [2]上海交通大学,上海212000

出　　处：《舰船科学技术》2005年第4期18-21,共4页Ship Science and Technology

基　　金：国防科工委基础科研计划项目(L0500E002)

摘　　要：将遗传算法和混沌算法复合构造了一种遗传混沌算法,并将其应用于船舶动力学性能综合优化计算问题,编制了界面友好的vc++软件。计算结果表明,该软件运行稳定可靠;该算法不但能有效地克服遗传算法的早熟问题,而且耗时少,计算效率高。使用该软件能方便地得到各设计变量的动力学综合最优可能性分布函数,为船舶设计方案的综合评估及其船型参数的综合决策准备了条件。该软件具有较强的实用性,具有推广意义。In this paper, GA-chaos algorithm is proposed, which is composed of the genetic algorithm and the chaos algorithm, And this algorithm is applied to optimize large-scale ship motion performance, the software with friendly interface is programmed by vc ＋＋. The calculation results show that： this software runs steadily and reliably; this algorithm not only can conquer the prematurity problem of GA, but also consume little calculation time and has higher efficiency. Using this software can conveniently get the possibility distributing function of integrate optimum navigation performance of each design variables, and can provide the condition to integrate evaluation of the ship design project and the integrate decision-making of ship parameters. This software has good practicability and is worth extending.

关 键 词：船舶动力学 综合优化 遗传混沌算法 

分 类 号：U661.3[交通运输工程—船舶及航道工程] O415.5[交通运输工程—船舶与海洋工程]