基于改进麻雀搜索算法的步战车火力分配模型

Firepower Distribution Model of Infantry Vehicle Based on Improved Sparrow Search Algorithm

火力分配是现代和将来作战中的关键要素,在战斗中具有非常重要的研究意义。文章针对步战车的火力分配运用问题提出了基于改进麻雀搜索算法的步战车火力分配模型。首先,提出了一种步战车火力分配相关的数学模型;其次,为了求取步战车火力分配最优方案,提出了一种基于强化学习的自学习麻雀搜索算法(Self-learning Sparrow Search Algorithm Based on Reinforcement Learning,SSA-RL);最后,为了避免不良麻雀个体进入子代种群,提出了一种个体精度约束方法。对本文的改进算法进行多次防真实验,证明了SSA-RL的有效性,为解决火力分配问题提供了新的方法和思路。

Firepower distribution is a key element in modern and future combat,which has very important research significance in combat.Aiming at the problem of firepower distribution of infantry vehicle,this paper proposes a model of infantry vehicle firepower distribution based on improved sparrow search algorithm.Firstly,according to the characteristics of infantry fighting vehicle,a mathematical model of infantry fighting vehicle firepower distribution is proposed.Secondly,in order to obtain the optimal scheme of infantry vehicle firepower allocation,a Self-learning Sparrow Search Algorithm Based on Reinforcement Learning(SSA-RL)is proposed.Finally,in order to avoid bad sparrow individuals entering the offspring population,an individual precision constraint method is proposed.The effectiveness of SSA-RL is proved by several anti-truth experiments on the improved algorithm in this paper,which provides a new method and idea for solving the problem of fire distribution.