采用自适应概率粒子群算法的反导预警资源调度方法

摘要

Based on the practical characteristics of the resources for missile defense early warning system, the muti-agent technology is used to study the problem of how to schedule resource of missile defense ear1 y warning system.And two agents which are resource management agent and resource agent are de-signed.Then,a method of fit value computation of a scheme is given,and the optimization scheme has the maximum fit value.For reducing the time of creating scheme,an improved particle swarm optimization al-gorithm—self adaptive probability particle swarm optimization (SAPPSO)algorithm is designed,in this algorithm,every element in a particle will be changed by the probability which decided by the fit value of scheduling scheme,this course shows how the particles think.By analyzing a real case,and through a con-trast with other methods,the result shows that the SAPPSO algorithm can quickly focus on a better val-ue,which can make the scheme meet the operational requirements.%根据反导预警资源的实际特点,采用多Agent技术研究反导预警调度问题。设计资源管理Agent和预警资源 Agent,给出卫星与雷达探测目标的适宜度计算方法,以方案适宜度最大化为目标生成调度方案。为提高调度方案的时效性设计一种基于自适应概率的粒子群算法,算法中粒子的每一维分量根据方案适宜度以不同概率取值,反映粒子的思考过程。实例分析表明,该算法与现有的预警资源调度算法相比,能较快地收敛到一个较优值,使调度方案满足反导预警作战实时高效的要求。