基于量子遗传算法的港口目标瞄准点选择

摘要

使用多枚巡航导弹攻击港口目标时,瞄准点选择非常关键,传统方法所用模型较为简单、算法较为耗时.为此,根据港口子目标幅员特性,构建矩形化子目标,并按离差最大思想赋予威胁指数.从毁伤效果出发,以毁伤下界为限,构建港口目标威胁消除模型.将量子理论引入遗传算法,构建量子遗传融合算法,并用其求解瞄准点分布.仿真结果表明,得出的瞄准点具有较高可靠性,验证了模型的有效性,所用算法能在短时间内找出最优解,提高了解的收敛速度.%When port targets are hit by multi-cruise missiles, aim points are very important, but traditional models are much simple and algorithms take much time. Rectangular sub-targets are constructed according to their characters, and intimidator indexes are given by maximal deviations. From the hit effect, the port targets deterrence elimination model based on the damage bottom is built. Quantum genetic algorithm is gotten by combining the quantum theory and genetic algorithm, which is used to above model. Results show that distribution of aim points is believable, which indicates the model is effective, and the algorithm can find the best results quickly, which indicates the speed for outcomes is advanced.