基于量子遗传算法的反舰导弹火力分配方法  

Fire Allocation Based on Quantum Genetic Algorithm for Anti-ship Missile

作　　者：武志东[1] 顾文锦[2] 徐彬[1] 毕兰金[1] 

机构地区：[1]海军航空工程学院研究生3队,山东烟台264001 [2]海军航空工程学院控制工程系,山东烟台264001

出　　处：《计算机测量与控制》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)

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.

关 键 词：量子遗传算法 火力分配 反舰导弹 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TJ765[自动化与计算机技术—计算机科学与技术]