对地打击武器-目标分配问题的粒子群算法

摘要

对地打击武器-目标分配问题(BTG-WTA)是现代战争中的重要问题;相比于一般武器-目标分配问题,其规模更大,复杂程度更高.提出使用粒子群算法解决BTG-WTA问题,改进了粒子初始化、惯性权重选择等关键问题使其适应BTG-WTA问题模型,并结合具体算例进行了仿真.仿真结果表明,粒子群算法比解决WTA问题的经典算法速度更快、结果更优,具有更强的实际应用价值.%Weapon-Target Assignment for attacking ground targets (BTG-WTA) is an important issue in modern warfare,which has larger scale and is more complicated than the ordinary weapon-target assignment.Particle Swarm Optimization (PSO) algorithm is used for solution of the BTG-WTA.The key issues,such as particle initialization and inertia weight selection,are improved for adaptable to BTG-WTA model,and simulation is made to an example.The results of simulated experiment indicate that PSO is more efficient than the classical algorithm for BTG-WTA,and thus has great application value.