基于多Agent的编队导弹攻击火力分配的优化研究

目前解决火力分配优化问题的更多的是运用静态的数学模型,忽略了作战是一个激烈对抗的过程.为了更全面地研究编队导弹攻击分配的优化问题,提出了一种基于多Agent的编队导弹攻击火力分配仿真优化研究的方法.首先建立了舰艇Agent的模型,研究了Agent的演化模型,建立了基于Agent的火力分配的优化模型.通过Agent自身的演化,从而达到整个编队导弹攻击的火力分配决策的优化目的.最后给出了仿真试验,对仿真结果数据的分析,验证了方法的可行性.

Optimization of Fire Disposition for Formatted Anti-Surface Missiles Based on Multi-Agent

There is more static mathematic model to solve the problem of optimizing the fire disposition, which ignores the ardent opposability of the battle. In order to research the dire disposition problem roundly, this paper comes up with the method based on multi-Agent to solve the problem of optimizing the fire disposition. Firstly it establishes the frame of surface-agent designs its evolving model, builds on the optimizing model of the fire disposition. Through the evolvement of the Agent itself, it could achieve the goal of optimization. At last, it analyses the result data of a scenario to prove the method validity and advantage.