基于遗传算法的武器系统组合优化方法

摘要

How to effectively combine diversified equipment, achieving the optimal use efficiency, has become a central issue desiderating to solve which relates to improve the ability of winning a local war under the condition of information. This paper solved combinatorial optimization problems according to ameliorative genetic algorithm: bringing out the string coding method. Designing as class DP algorithm, single-point exchange rules etc. This model, as applied to weapons system simulation optimization problem, has obtained very satisfactory results, proving its feasibility.%组合多样化的武器系统,达到使用效能最优,已成为打赢信息化条件下局部战争亟待解决的一个核心问题.本文采用改进的遗传算法解决了武器系统组合优化问题:采用字符串编码方式,设计应用DP算法、单点交换等规则,为解决武器系统组合优化问题提供了有益的借鉴.将此模型应用于一个实际武器系统组合优化问题,获得了非常满意的结果,证明了算法的可行性.