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Received:July 12, 2009 Revised:September 15, 2009
Received:July 12, 2009 Revised:September 15, 2009
中文摘要: 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。
Abstract: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.
keywords: simulation optimization genetic algorithm competition between populations simulation example simula- tion analysis
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| LIU Li-Na | 重庆大学 计算机学院 重庆 400044 |
| GU Ping | |
| YANG Jia-Deng |
| Author Name | Affiliation |
| LIU Li-Na | 重庆大学 计算机学院 重庆 400044 |
| GU Ping | |
| YANG Jia-Deng |
引用文本：
刘丽娜,古平,杨佳登.基于遗传算法的库存仿真及优化.计算机系统应用,2010,19(4):120-122
LIU Li-Na,GU Ping,YANG Jia-Deng.Simulation and Optimization of Inventory Based on Genetic Algorithm.COMPUTER SYSTEMS APPLICATIONS,2010,19(4):120-122
刘丽娜,古平,杨佳登.基于遗传算法的库存仿真及优化.计算机系统应用,2010,19(4):120-122
LIU Li-Na,GU Ping,YANG Jia-Deng.Simulation and Optimization of Inventory Based on Genetic Algorithm.COMPUTER SYSTEMS APPLICATIONS,2010,19(4):120-122
