多机协同多目标攻击的遗传蚁群算法研究  

On genetic algorithm and ant colony algorithm for multi-target attacking in multi-aircraft cooperative combat

作　　者：王芳[1] 姜长生[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《电光与控制》2008年第10期26-32,共7页Electronics Optics & Control

基　　金：航空基金(05C52007);国家自然基金(90405011)

摘　　要：研究了多机协同空战中的多目标攻击决策问题。以攻击效果为准则建立空战决策模型,首先利用遗传算法快速随机的全局搜索能力生成信息素的初始分布,然后利用蚁群算法具有正反馈的特点求精确解,最后在Matlab环境下对实例进行了仿真。具体的仿真算例证明:将两种算法动态融合能起到优势互补的作用,在实际的空战环境下能进行有效的决策。The decision making of multi-target attacking in multi-aircraft cooperative combat is studied. A model of decision-making in air combat is built up by taking attacking effect as the criterion. Since genetic algorithm has the capability of taking a global searching rapidly and stochastically, it is used for generating the initial distribution of information. Then, the positive feedback feature of the ant colony algorithm is used to obtain the precise solution. Finally, simulations are implemented in Matlab environment. Practical example proved that the combination of the two algorithms can make full use of their own advantages, and can make decision effectively in actual air combat environment.

关 键 词：多目标攻击 攻击决策 遗传算法 蚁群算法 融合 

分 类 号：V27[航空宇航科学与技术—飞行器设计]