基于GA的水下预置反舰导弹区域封锁部署优化  

Optimization of Regional Blockade Deployment of Underwater Preset Anti-ship Missiles Based on GA

作　　者：孙凡 邹强 彭英武[1] SUN Fan;ZOU Qiang;PENG Ying-wu(College of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China;92730th Unit,The People Liberation Army of China,Sanya 572000,China)

机构地区：[1]海军工程大学兵器工程学院,湖北武汉430033 [2]中国人民解放军92730部队,海南三亚572000

出　　处：《水下无人系统学报》2021年第2期238-242,共5页Journal of Unmanned Undersea Systems

基　　金：国防科技创新项目资助(19H86305ZD01300102)。

摘　　要：水下预置反舰导弹作为一种新型的水下攻击武器,将在未来海战中扮演重要角色。为充分发挥水下预置反舰导弹封锁效能,文中通过网格化处理目标海域的方法,对区域封锁作战中水下预置反舰导弹的部署使用进行了研究,并结合武器性能、环境特点以及作战要求等因素,建立水下预置反舰导弹区域封锁部署的组合优化模型。最后利用遗传算法,通过仿真算例验证了模型的合理性和有效性,为日后水下预置反舰导弹的决策部署提供参考。Underwater preset anti-ship missiles as a new type of underwater attack weapon will play an important role in future naval battles.Therefore,to improve the effectiveness of underwater preset anti-ship missile blockades,the deployment of underwater preset anti-ship missiles in regional blockade operations is studied by separating the target sea area into grids.This is combined with an analysis of weapon performance,environmental characteristics,operational requirements,and other factors,and a combination optimization model of underwater preset anti-ship missile regional blockade deployment is established.Finally,the genetic algorithm(GA)is used to verify the rationality and effectiveness of the model through simulation examples,whereby a reference is provided for the deployment of underwater anti-ship missiles in the future.

关 键 词：水下预置武器 反舰导弹 部署优化 遗传算法 

分 类 号：TJ762.44[兵器科学与技术—武器系统与运用工程] E843[军事—战术学]