基于遗传算法的舰船破舱浮态调整措施优化研究  

A study on righting measure optimization in damaged ship floatation adjustment based on genetic algorithm

作　　者：王爱岭[1] 何祖军[1] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《舰船科学技术》2010年第3期29-31,共3页Ship Science and Technology

摘　　要：为使海上受损舰船得到良好的扶正效果,对若干压载水舱注入水或排出水,使舰船具有良好的浮态与稳性,这对于提高舰船的安全性和战斗力具有极其重要的意义。本文根据海上舰船的实际破损情况,研究了基于遗传算法(GA)的破损进水舰船的优化扶正措施方案的计算方法;采用符号编码的方式,在GA算法中,通过在进化的不同阶段,设置自适应的交叉及变异概率,提高进化速度,便于找到全局最优解,并编程实现,结果表明遗传算法对于舰船破舱进水的扶正优化是有效的。通过对实船破舱扶正措施的优化并与传统方法的优化结果对比,证明了用GA优化破损舰船扶正措施的先进性和工程实用性。To get righting fine effect,that is to say,have fine floating-state and stability for the damaged warship,it＇s important for the warship to increase the safety and fighting ability by inputting or outputting water to the ballast tank. According to the real time condition of damaged ship at sea,the calculation method used for optimizing the righting measures of damaged ship floatation is presented based on genetic algorithm in this paper. With symbol code,the different crossover rate and the mutation rate in different period of revolution in GA are established in order to speed up the revolution and to find the global optimal solution more likely. The corresponding program is implemented. The optimization results and their comparison with the ones obtained by conventional method for a full-scale ship verify that the righting measure optimization in damaged ship floatation with GA is feasible.

关 键 词：舰船 压载水舱 遗传算法 破舱稳性 浮态调整措施 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]