为有效解决在多导弹拦截情况下的目标分配方法,文中基于改进的烟花算法提出一种新型目标分配方法。首先根据作战场景,对目标分配问题进行建模,定义了综合优势函数。为求解目标分配问题,设计了一种改进的烟花算法,改进的烟花算法在传统烟花算法的基础上引入差分进化算法中的交叉变异操作,提高算法的搜索能力。在数值仿真中,针对标准函数,使用改进的烟花算法与其他智能优化算法进行对比试验,试验结果证明了改进烟花算法的优越性。最后使用提出的算法求解分配问题,仿真结果证明新方法可以快速搜索出最佳分配方法,证明了算法的有效性。

In order to solve the target allocation problem effectively in the case of multi-missile interception, this paper proposes a new target allocation method based on the improved fireworks algorithm. Firstly, according to the battle scenario, the target allocation problem is modeled and the comprehensive advantage function is defined. To solve the problem of target assignment, an improved fireworks algorithm is designed. Based on the traditional fireworks algorithm, the cross and variation operations of differential evolution algorithm are introduced to improve the search ability of the algorithm. In the numerical simulation, the improved fireworks algorithm is compared with other intelligent optimization algorithms for the standard function. The experimental results prove the superiority of the improved fireworks algorithm. Finally, the proposed algorithm is used to solve the allocation problem. The simulation results show that the proposed method can be used to quickly search for the best allocation method, which prove the effectiveness of the algorithm.