指挥控制与仿真2024，Vol.46Issue(2)：128-134,7.DOI:10.3969/j.issn.1673-3819.2024.02.018
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
郭子杰 1王军 1张贤椿 1庞景壮1
作者信息
- 1. 南京理工大学自动化学院, 江苏 南京 210094
- 折叠
摘要
Abstract
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.关键词
雷位优化/自导水雷/遗传算法/触雷概率Key words
mine position optimization/homing mine/genetic algorithm/probability of triggering mine分类
军事科技引用本文复制引用
郭子杰,王军,张贤椿,庞景壮..基于遗传算法的自导水雷雷位优化[J].指挥控制与仿真,2024,46(2):128-134,7.
