摘要
在综合考虑防空对抗双方作战价值的基础上,建立了一种用于防空作战多武器系统对抗多批目标的火力分配模型.在此基础上,提出了基于粒子群优化(PSO)算法以及粒子群与遗传算法相结合(PSO-GA)的火力优化分配方法.通过仿真,并与遗传算法(GA)进行了比较,验证了火力分配模型的可行性以及所提出优化方法的有效性和优越性.
Considering the battle value on both sides of antiaircraft counterwork, a firepower allocation model of multi-weapon systems antagonizing multi-target is set up. On the basis of this model, two methods based on particle swarm optimization （PSO）algorithm and the firepower optimization allocation given by integrating particle swarm optimization algorithm with genetic algorithm （PSO-GA） are put forward. Simulation results compared with genetic algorithm （GA） show that the firepower allocation model is feasible and these two optimization methods are effective and preponderant.
出处
《控制与决策》
EI
CSCD
北大核心
2006年第8期913-917,共5页
Control and Decision
基金
国防预研基金项目(Z172004A001)
