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改进遗传算法的多机超视距协同空战目标分配方法 被引量:5

Improved Genetic Algorithm of Multiple Aircraft Over-the-Horizon Cooperative Air Combat Target Allocation Methods
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摘要 针对多机超视距协同空战中的目标分配问题,依据协同空战攻击决策的度量指标,构建交战优势矩阵,建立整体优势函数;在此基础上,考虑目标分配整体均衡策略,引入目标分配密集度和目标分配均匀度两个指标用于目标均衡和任务均衡分配,改进整体优势函数,从而合理利用作战资源;考虑传统遗传算法解算速率不高的缺点,提出了一种改进的遗传算法,该方法能快速寻优满足实时性要求。 For multiple aircraft over-the-horizon target assignment problem in cooperative air combat, and on the basis of coordinated air combat attack decision-making metrics, this paper built the warring advan- tage matrix, establishing the overall advantage function. On this basis, we considered the target distribu- tion overall balanced strategy, and introduced the target distribution density and the distribution uniformity of two indicators for the target equilibrium and equilibrium allocation, which improved the overall superior- ity function, and rational utilization of resources. Considering the traditional genetic algorithm solving rate not high faults, we put forward an improved genetic algorithm. This method' s fast optimization meets the real-time requirements.
出处 《四川兵工学报》 CAS 2013年第10期20-24,共5页 Journal of Sichuan Ordnance
基金 海军大连舰艇学院科研发展基金(2012024)
关键词 超视距协同空战 目标分配 交战优势矩阵 整体优势函数 over-the-horizon cooperative air combat target distribution war advantage matrix overall superiority function
分类号 E919 [军事]
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