摘要
针对多机协同空战中的多目标攻击决策问题,提出了一种基于混沌蚁群算法的火力分配方法。该方法将混沌运动的遍历性、随机性和蚁群算法信息素正反馈相结合,起到了优势互补作用。根据相应数学模型进行的仿真结果表明,该方法在多机协同空战火力分配中具有较强的全局寻优能力,且收敛速度快,寻优效果好。
The decision making of multi-target attacking in multi-aircraft cooperative air combat is discussed.Taking advantage of the randomicity and ergodicity properties of the chaos and the pheromone positive feedback effect,a firepower distribution method for multi-aircraft cooperative air combat based on chaos ant colony optimization algorithm（CACOA） is proposed.Simulations according to the mathmatical model shows CACOA for multi-aircraft cooperative air combat fire distribution has a strong global search ability,the convergence rate is very quick while the optimization effect is good.
出处
《航空兵器》
2010年第6期12-15,24,共5页
Aero Weaponry
基金
航空武器预研基金
航空火力国家重点实验室基金
关键词
多机协同
混沌优化
混沌蚁群
火力分配
multi-aircraft cooperative
chaos optimization
CACOA
firepower distribution
