摘要
针对多机协同空战目标分配的问题,提出了一种改进的粒子群算法,设计了新的粒子群位置和速度更新过程。充分利用粒子群算法的全局搜索能力以及利用贪婪策略的局部最优搜索能力进行混合搜索,显著地提高了搜索能力。仿真结果表明,改进的粒子群算法能够快速解决多机协同作战的目标分配问题,能够找到逼近全局最优点的解。
According to the problem of multi-fighters cooperative target assignment,an improved particle swarm optimization algorithm is put forward,and the process of updating position and velocity of new particle swarm is designed. The algorithm performance is enhanced observably by taking advantage of the global searching ability of PSO algorithm and the partial searching ability of greedy method. The result of simulation experiment shows that the improved particle swarm optimization can solve the problem of multi-fighters cooperative target assignment quickly,and can g find out the global optimal solution.
出处
《火力与指挥控制》
CSCD
北大核心
2015年第8期38-41,共4页
Fire Control & Command Control
基金
船舶预研支撑技术基金资助项目(12J3.7.4)
关键词
粒子群
多机协同
目标分配
贪婪
particle swarm optimization
multi-fighters cooperative
target assignment
greedy
