基于遗传算法的自导水雷雷位优化  

Optimization of aiming point for wake homing mine under confrontation

作　　者：郭子杰 王军[1] 张贤椿[1] 庞景壮 GUO Zijie;WANG Jun;ZHANG Xianchun;PANG Jingzhuang(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学自动化学院,江苏南京210094

出　　处：《指挥控制与仿真》2024年第2期128-134,共7页Command Control & Simulation

摘　　要：自导水雷作为一种新式智能水雷,在现代海上战争中有举足轻重的地位。为提高由自导水雷组成的雷障对通过目标的拦截概率,首先对自导水雷的目标探测系统进行建模,获得自导水雷在战场环境下的控制水域范围,然后基于遗传算法,对自导水雷的布雷位置进行优化。通过对优化前后多个目标通过雷障时的情况进行仿真,获得目标在雷位优化前后的平均触雷概率,验证了采用遗传算法优化后自导水雷布设雷位的优越性,对自导水雷的雷位布设具有指导意义。As a new type of intelligent mine,homing mine plays an important role in modern maritime warfare.In order to improve the interception probability of the passing target by the mine barrage composed of homing mine.Firstly,in order to obtain the detection area of homing mine in the battlefield environment,the target detection system of homing mine was modelled in this dissertation.Then,based on the genetic algorithm,the deployment position of the homing mine is optimized.By simulating the situation when multiple targets pass through mine barrage before and after optimization,obtain the average probability of the target triggering the homing mine before and after the optimization.The superiority of homing mine placement after optimization is verified.It has guiding significance for the laying of mine positions of homing mine.

关 键 词：雷位优化 自导水雷 遗传算法 触雷概率 

分 类 号：E925[军事—军事装备学]