基于马尔柯夫决策过程动态WTA最优化模型分析

Optimization Model Analysis of Dynamic WTA Based on Markov Decision-making

在作战过程中,通过把目标群的威胁程度作为目标函数制定决策,可将目标分配决策过程变成马尔柯夫决策过程。即首先对攻防作战态势进行抽象性描述,建立基于马尔柯夫决策过程动态WTA最优化模型,然后提出了有限次迭代求解最优策略的新方法,并进行了算例验证和分析。结果表明:该方法可使武器系统获得最大的射击效率,并能有效地减少重点目标突防的概率。

Through looking on target group's threatening degree as target function to institute decisionmaking,we can explicate target assignment decisionmaking to Markov decisionmaking in the course of combat.This paper establishes optimization model of dynamic WTA based on Markov decisionmaking through abstract description of operation situation,and presents a new method of optimization decisionmaking which is solved by finite iteration.Finally,the conclusion is validated with examples.The experimental results show that this method can enable weapon system to get maximum firing efficiency,and abate effectively key target's broken probability.