摘要
反舰导弹火力分配问题是一个典型的多目标优化问题,一般通过固化各型导弹的数量将其转化为单目标优化问题来进行解算;基于量子遗传算法,研究了在兼顾反舰导弹作战效能最大化和作战成本最小化两个优化指标的情况下,反舰导弹群火力分配寻优解算方法,详尽描述了其寻优解算过程;实例证明,该方法不仅具有良好的种群多样性、较快的收敛速度、较强的全局搜索能力,而且解算结果是最优或次优的。
It was a typical multi--targets optimize problem of anti--ship missile＇ s fire allocation, it would beeome a single--target optimize problem after soldiered the number of missile with different model. Based on the theory of quantum Genetic algorithm, this paper re- searched the fire allocation method for anti--ship missile, under giving attention to maximum of Combat Efficiency and minimum of Combat cost synchronously, and described the calculate course elaborately. The experiments demonstrated that this method not only has the diversity of the population, good efficiency, the capabilities of the searching and convergence, but also the calculation result is best or better.
出处
《计算机测量与控制》
CSCD
北大核心
2011年第12期3005-3008,共4页
Computer Measurement &Control
基金
总装武器装备重点创新基金项目(6140511)
关键词
量子遗传算法
火力分配
反舰导弹
quantum genetic algorithm, fire allocation, Anti--ship missile
