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基于遗传算法的自导水雷雷位优化

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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.
Optimization of aiming point for wake homing mine under confrontation
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 mod-elled 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 place-ment after optimization is verified.It has guiding significance for the laying of mine positions of homing mine.

mine position optimizationhoming minegenetic algorithmprobability of triggering mine

郭子杰、王军、张贤椿、庞景壮

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南京理工大学自动化学院, 江苏 南京 210094

雷位优化 自导水雷 遗传算法 触雷概率

2024

指挥控制与仿真
中国船舶重工集团公司 第七一六研究所

指挥控制与仿真

CSTPCD
影响因子:0.309
ISSN:1673-3819
年,卷(期):2024.46(2)
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