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多机协同多目标攻击的遗传蚁群算法研究
引用本文:王芳,姜长生.多机协同多目标攻击的遗传蚁群算法研究[J].电光与控制,2008,15(10).
作者姓名:王芳  姜长生
作者单位:南京航空航天大学自动化学院,南京,210016
基金项目:航空基金,国家自然科学基金
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.

关 键 词:多目标攻击  攻击决策  遗传算法  蚁群算法  融合

On genetic algorithm and ant colony algorithm for multi-target attacking in multi-aircraft cooperative combat
WANG Fang,JIANG Chang-sheng.On genetic algorithm and ant colony algorithm for multi-target attacking in multi-aircraft cooperative combat[J].Electronics Optics & Control,2008,15(10).
Authors:WANG Fang  JIANG Chang-sheng
Institution:College of Automatic Control Engineering;Nanjing University of Aeronautics and Astronautics;Nanjing 210016;China
Abstract: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 environm...
Keywords:multi-target attacking  attacking decision  genetic algorithm  ant colony algorithm  combination  
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