语言信息存储系统应急动态资源优化调度仿真

Simulation of Background Suppression Method for Infrared Small Target Tracking

语言信息存储系统应急动态资源调度影响建筑行业、产品生产行业、电力行业等领域的发展。针对当前方法存在应急资源搜索爬坡能力弱和收敛性差的缺点,导致最终的语言信息存储系统应急资源调度不完整等问题,提出一种基于蚁群算法的语言信息应急动态资源调度方法,利用信息存储系统应急资源目标的误差测量,计算出应急动态资源测量前后的语言信息增量,得到先验和后验语言信息熵,利用应急动态传感器资源调度准则,计算出信息应急资源矩阵,为完成语言信息应急资源模型的建立对其信息增量进行计算。在语言信息应急资源增量模型建立完成的基础上,采用蚁群算法对语言信息素建立矩阵,计算出蚁群中的应急资源目标语言信息素,且对其改进和更新,对更新后的语言信息素重新初始化,获得最优蚂蚁释放语言信息素,实现语言存储系统应急动态资源优化调度。仿真结果表明,所提方法提高了语言信息存储系统应急动态资源的搜索爬坡能力和收敛性能,为后续实现应急资源调度奠定了良好基础。

For the current method,the weak climbing ability and poor convergence of emergency resource search caused the incompleteness of emergency resource scheduling in the language information storage system.Therefore,this article focuses on a method of emergency dynamic resource scheduling for language information based on ant colony algorithm.This method used the error measurement of emergency resource target in information storage system to calculate the language information gain before and after the emergency dynamic resource measurement,and then the prior and posterior language information entropy was obtained.Moreover,our method used the resource scheduling rule of emergency dynamic sensor to calculate the matrix of information emergency resource and computed the information increment in order to build language information emergency resource model.On the basis of establishment of incremental model of language information emergency resource,this research used the ant colony algorithm to establish the matrix of language pheromone and calculate the language pheromone of emergency resource target in the ant colony.Finally,the updated language pheromone was initialized again to obtain the optimal ant and release the language pheromone.Thus,we achieved the optimization scheduling for emergency dynamic resource in language storage system.Simulation result shows that the proposed method improves the search climbing ability and convergence performance of emergency information resource in the language information storage system,which lays a good foundation for realizing emergency resource scheduling.