导弹编队队形参数优化设计

Optimization for multi-missile formation parameters

为了使导弹编队协同作战效能最大化,利用粒子群算法对编队队形参数进行优化。依据战场态势,建立编队协同作战效能指标体系,并利用基于三角模糊数的层次分析法求出各指标的权重。在领从弹控制方式下,选取领弹与从弹的相对距离和角度作为队形参数,在考虑到导弹战术性能的约束条件下,设计出与指标对应的适应度函数。最后,利用粒子群优化算法对三角形编队队形参数进行了仿真优化。仿真结果表明,通过粒子群算法优化出的队形参数能够满足性能约束条件。

In order to maximize the operational effectiveness of missile formation,the particle swarm optimization (PSO)algorithm was used to optimize the formation parameters in this paper.Operational effectiveness index system of missile formation was established according to battlefield situation,and the weight of index was calculated by analytic hierarchy process based on triangle fuzzy number.The relative distance and angle between leader and follower were selected as formation parameters in the method of leader-follower.The fitness function corresponding to the index was designed considering the constraints of tactical performance.Finally,the formation parameters of triangular formation were simulated and optimized by using PSO optimization algorithm.Simulation results show that the formation parameters optimized by PSO algorithm can meet the performance constraints.