| 离散需求下基于两阶段思想的分布式仓储研究 |
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| 引用本文： | 鲍福光. 离散需求下基于两阶段思想的分布式仓储研究[J]. 杭州电子科技大学学报, 2011, 0(6): 167-170 |
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| 作者姓名： | 鲍福光 |
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| 作者单位： | 浙江工商大学信息学院,浙江杭州310018 |
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| 基金项目： | 国家自然科学基金资助项目（71171178） |
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| 摘 要： | 该文主要研究在离散需求下,第三方物流仓储企业的动态分布式仓储能力分配策略.首先建立了基于随机背包思想的动态规划和两阶段模型,再对该模型设计了采用贪婪思想修复无效解的遗传算法.最后通过数值仿真分析比较了该文设计的采用贪婪思想修复无效解的遗传算法与普通采用惩罚因子的遗传算法的相关性能,并验证了该模型与算法的可行性和稳定性.
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| 关 键 词： | 两阶段思想 分布式 离散需求 第三方仓储 贪婪思想 |
Research on Two-stage Model of Distributed Storage under Discrete Demand |
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| BAO Fu-guang. Research on Two-stage Model of Distributed Storage under Discrete Demand[J]. Journal of Hangzhou Dianzi University, 2011, 0(6): 167-170 |
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| Authors: | BAO Fu-guang |
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| Affiliation: | BAO Fu-guang(School of information,Zheijiang Gongshang University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | This research is mainly aimed at the third party warehouse（TPW） distributed storage model and numerical simulation analysis under the condition of the discrete demand.Firstly based on random backpack established two-stage dynamic programming model,and then design the genetic algorithm with greedy algorithm which can get out of invalid solution for the model.Finally the numerical simulation results are analyzed and compared the greedy genetic algorithm with genetic algorithm using the common punishment factor,and proved the model with the greedy genetic algorithm are feasible and stabile. |
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| Keywords: | two-stage distributed storage discrete demand third party warehousing greedy algorithm |
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