多平台反舰导弹协同对海突击目标分配问题研究

Research on Target Assignment Problem of Multi-platform Anti-ship Missile Coordination Assault on Sea

为满足多平台反舰导弹协同对海突击目标分配的作战要求,在分析目标分配的约束条件和性能指标的基础上,建立多平台反舰导弹目标分配模型。针对传统目标分配方法效率低且容易陷入局部最优解的问题,对标准遗传算法(standardgeneticalgorithm,SGA)进行改进,自适应调整交叉和变异概率,提出基于改进遗传算法的多平台目标分配算法,并进行2种不同作战场景下的仿真分析。仿真结果表明:与标准遗传算法相比,改进后的算法收敛速度得到提高;同时,得到的目标分配方案合理有效,满足各项约束条件,能够为协同作战时的目标分配提供参考依据。

In order to meet the operational requirements of target assignment for multi-platform anti-ship missiles in coordinated sea assault,a target assignment model for multi-platform anti-ship missiles is established based on the analysis of the constraints and performance indicators of target assignment.Aiming At the problems of low efficiency and easy to fall into local optimal solution in traditional target assignment methods,the standard genetic algorithm(SGA)is improved to adjust the crossover and mutation probability adaptively,and a multi-platform target assignment algorithm based on improved genetic algorithm is proposed.The simulation analysis is carried out in two different combat scenarios.The simulation results show that compared with the standard genetic algorithm,the convergence speed of the improved algorithm is improved.At the same time,the obtained target assignment scheme is reasonable and effective,and meets the constraints,which can provide a reference for the target assignment in cooperative operations.