基于混沌pso算法的实时动态目标分配  

Real-time Dynamic Task Allocation Based On CPSO Algorithm

作　　者：井洁[1] 冯琦[1] 

机构地区：[1]西北工业大学电子信息学院,西安710129

出　　处：《火力与指挥控制》2014年第9期40-43,47,共5页Fire Control & Command Control

基　　金：航空科学基金(2011553021);西北工业大学基础研究基金资助项目(JC20110222)

摘　　要：任务分配是多导弹协同攻击目标的重要前提,在充分考虑满足复杂战场环境各种约束的条件下,提出了基于混沌粒子群算法的实时动态算法,使得算法在求解WTA问题时具有处理意外目标和任意时刻响应当前战场状态的实时动态特性。并为了解决战场环境中各不确定性因子对新加入目标优先级的影响,提出基于三元区间数表示关联熵的复合物元目标排序方法。Task allocation is the important premise of multiple missiles collaboratively attacking targets.Considering to meet all kinds of constraints of complex battlefield environment,real-time dynamic algorithm is proposed based on chaotic particle swarm optimization algorithm,which have real-time dynamic character of processing accident goals and corresponding battlefield state anytime in dealing with WTA problems.In order to solve the effect of uncertainty factors on the priority of new targets in the battlefield environment ,the target sequencing method is put forward based on complex element of relative entropy represented by interval numbers of three elements.

关 键 词：任务分配 混沌pso算法 实时动态算法 复合物元 目标排序 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]