摘要
在协同空战中,快速正确的空战决策是己方战机少受敌方伤害并取得战争胜利的前提。目标与火力资源分配是决策过程的重要部分。多机空战与单机空战相比有明显的不同,不同之处是面临多个敌方目标,根据我方资源最优分配作战对象和火力,基于遗传算法实现了两种算法的有人无人目标与火力资源分配。仿真结果表明,带有毁伤概率门限的算法既节省火力资源又快速有效。
In cooperative air combat,the rapid and right air combat decision is the premise of the condition that our aircraft are less affected by the enemy and win the war. The resource allocation of target and fire is a very important part of the decision-making process. According to our resources to make optimal allocation of target and fire when facing many targets is the most significant difference between multi-craft air combat to single air combat. In this paper,two models of allocation of target and fire have been resolved based on genetic algorithm which is verified through simulation. The simulation results show that the model with the threshold of damage probability can save resource and it is fast and efficient.
出处
《火力与指挥控制》
CSCD
北大核心
2017年第3期67-70,共4页
Fire Control & Command Control
基金
国家自然科学基金资助项目(61074090)
关键词
协同空战
威胁评估
目标与火力资源分配
遗传算法
cooperative air combat
threat assessment
resource allocation of target and fire
genetic algorithm
作者简介
傅莉（1968-），女，辽宁凤城人，教授。研究方向：模式识别与智能系统。
