基于遗传算法的库存仿真及优化  

Simulation and Optimization of Inventory Based on Genetic Algorithm

作　　者：刘丽娜[1] 古平[1] 杨佳登[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《计算机系统应用》2010年第4期120-122,132,共4页Computer Systems & Applications

摘　　要：为使成本费用的总和最小,利用仿真优化技术,以某制造企业为例建立了一种随机需求库存模型,并运用改进的遗传算法优化库存模型,得到了库存的优化候选策略。实例表明提出的仿真优化技术是有效可行的,可以为企业提供决策支持。To minimize the cost,by using the simulation and optimization technology,this paper designs a stochastic demand inventory model with a manufacture enterprise as an example. It uses the improved genetic algorithm to optimize inventory model,and then gets the candidate strategy to optimize inventory. Simulation examples show that the proposed optimization technique is feasible and effective,and can provide decision support for enterprises.

关 键 词：仿真优化 遗传算法 种间竞争 仿真实例 仿真分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]