基于遗传算法的水面舰艇舰载武器方案优化研究  

Projects Optimization of Shipborne Weapons Based on Genetic Algorithm

作　　者：田正东[1] 齐万江[2] 熊鹰[2] 

机构地区：[1]中国人民解放军海军装备部,北京100084 [2]海军工程大学船舶与动力学院,湖北武汉430033

出　　处：《中国舰船研究》2011年第4期51-55,共5页Chinese Journal of Ship Research

摘　　要：以DDG 51驱逐舰的概念设计为例,应用遗传算法解决水面舰艇概念设计中舰载武器方案优选问题。在舰载武器方案优选过程中,应用权重系数法将作战性能和使用风险目标线性加权成统一评价函数,得到满足设计变量取值范围和约束条件的优化方案,取得较理想的优化结果。与DDG 51驱逐舰原始武器配置方案相比,通过该方法优化得出的方案具有较为明显的优越性。In this paper,the concept design of DDG 51 destroyer was taken as an example.The optimization project of shipborne weapons was solved by Genetic Algorithm（GA） during the concept design stage.The method of weight coefficients was employed in the process of the optimization project of shipborne weapons,in which the objection of battle efficiency and risk of shipborne weapons were linear weighted and then constructed to an evaluation function.The results show that the optimization projects meet the constraint conditions and the limits of the design variables need by this method.Compared to the original weapons placement in DDG 51 destroyer,our proposal based on GA has more advantages.

关 键 词：概念设计 水面舰艇 舰载武器 作战性能 遗传算法 

分 类 号：O22[理学—运筹学与控制论]