Resource Scheduling Method of Missile Defense Ear1 yWarning System Based on Self-Adaptive Probability Particle Swam Optimization
REN Jun-liang
XING Qing-hua
Li Qiang
JIA Zhe
Abstract：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.
Keywords：missile defenseearly warningself-adaptiveparticle swarm optimization
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 45-48 )