摘要
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。
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.
出处
《价值工程》
2011年第29期9-11,共3页
Value Engineering
基金
国家自然科学基金资助项目:基于可执行模型的体系优化设计理论
方法和技术研究(70971131)
关键词
遗传算法
DP算法
组合优化
Genetic Algorithm
DP Algorithm
Combinatorial Optimization
