基于改进遗传算法的装备调配  

Equipment Distribution Based on Modified Genetic Algorithm

作　　者：陈彬[1] 韩林[1] 余旺盛[1] 杨懿[1] 

机构地区：[1]空军工程大学电讯工程学院,陕西西安710077

出　　处：《系统工程》2010年第9期98-102,共5页Systems Engineering

摘　　要：针对装备调配问题,构建了多约束条件下的多目标模糊指派模型,并通过改进传统遗传算法中初始种群产生以及种群选择、交叉、变异的机制,设计了一种求解此模型的快速收敛遗传算法。最后,通过对一个装备调配案例进行仿真实验,结果表明该算法收敛速度快,容易得出最优解,符合装备保障指挥的实际需求。A model of multi-object fuzzy assignment restricted within multiple restrained conditions is established to solve the problem of equipment distribution in this paper.Then,a modified genetic algorithm with a rapid convergence is designed to solve this model,which ameliorates the mechanism of initialization,selection,cross and aberrance of traditional algorithm.Finally,a case of equipment distribution is tested and the experiment results show that the proposed algorithm converged to the optimal solution rapidly,which satisfies the demand of command decisions of equipment distribution.

关 键 词：装备调配 模糊指派 遗传算法 多目标 

分 类 号：F224[经济管理—国民经济]