LCDPSO算法在协同空战攻击决策中的运用

Cooperative Air Combat Attack Decision Making Using Life-cycle Discrete Particle Swarm Optimization Algorithm

为了探索提高协同空战攻击决策算法性能的途径,将多子群粒子群优化理论用于求解协同空战攻击决策,利用生命周期粒子群模型(LCPSO),提出了一种生命周期离散粒子群(LCDPSO)协同空战攻击决策算法。基于典型空战想定背景,仿真验证了算法的有效性。通过统计实验的方法,分析比较了LCDPSO协同空战攻击决策算法与多种智能决策算法的准确性、可靠性和快速性,研究结果证明LCDPSO协同空战攻击决策算法优良的综合性能。

Aimming at increasing the performance of cooperative air combat attack decision making（ CACADM） algorithm, multigroup particle swarm optimization theory is applied to CACADM problem. Based on the lifecycle particle swarm optimization （ LCPSO） model, A new lifecycle discrete particle swarm optimization （ LCDPSO） algorithm is present to solve CACADM problem. Under typical air combat backgroud, the efficiency of the algorithm is proved. In order to further analyse the performance of LCDPSO algorithm, Some important indexes, such as accuracy, reliability and efficiency, are chosed to compare LCDPSO algorithm with the traditional decision making algorithm. The results of comparison show that LCDPSO algorithm have better comprehensive performances.