CAJ | 학술논문

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.
침대다궤협동공전목표분배적문제,제출료일충개진적입자군산법,설계료신적입자군위치화속도경신과정.충분이용입자군산법적전국수색능력이급이용탐람책략적국부최우수색능력진행혼합수색,현저지제고료수색능력.방진결과표명,개진적입자군산법능구쾌속해결다궤협동작전적목표분배문제,능구조도핍근전국최우점적해.
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.