基于遗传算法的智能水雷布阵策略优化研究

Research on Strategy Optimization of Intelligent Mine Array Based on Genetic Algorithm

智能水雷具备水雷自组网,信息融合及远程攻击能力。通过综合考虑雷障中水雷的探测距离、探测概率、运动半径和爆炸半径等主要因素对目标舰船毁伤概率的影响,建立封锁效能的数学模型,对比了智能水雷相较于传统水雷的封锁效能效果,并基于智能水雷封锁作战模型提出了基于遗传算法的水雷布阵方法,通过遗传算法优化水雷数量和坐标配置,总结了基于不同水雷数量及不同舰船数量下舰船毁伤概率的变化规律,并进行了仿真验证。计算结果为智能水雷的水下作战想定设计、优化水雷布局方案等方面提供量化参考。

Intelligent mine is a new type of mine with self-organizing network,information processing and remote attack capabilities. By comprehensively considering main factors which influenced injure probability of the mine obstacle to target such as detection distance,detection probability,motion radius,destruction radius of mine and so on,a blockade effectiveness evaluation model is built,and the blockade effectiveness of conventional mine and intelligent mine is compared. Beside,based on the intelligent mine blockade combat model,a mine algorithm array method based on genetic algorithm is proposed. The genetic algorithm is used to optimize mines number and the coordinate configuration. The change rules of the damage probability for ships under different numbers of intelligent mine and different numbers of ships are summarized,which is verified by simulation. Simulation results provide a quantitative reference for the scenario design of intelligent mines for underwater operations and the optimization of mine layout schemes.