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随机的库存-路径问题的机会约束规划模型与算法
引用本文:陈德良,陈治亚.随机的库存-路径问题的机会约束规划模型与算法[J].模糊系统与数学,2010,24(3).
作者姓名:陈德良  陈治亚
作者单位:1. 中南大学,交通运输工程学院,湖南,长沙,410075;中南林业科技大学,物流学院,湖南,长沙,410004
2. 中南大学,交通运输工程学院,湖南,长沙,410075
基金项目:国家自然科学基金资助项目,湖南省科学技术厅软科学研究计划项目 
摘    要:随机需求下的库存-路径问题是一类复杂的组合优化问题.本文讨论了VMI背景下的库存-路径联合优化问题,构建了问题的机会约束规划模型,并将随机模拟、人工神经网络和遗传算法结合在一起,设计了求解问题的混合智能算法.实验表明算法性能良好.

关 键 词:库存-路径问题  机会约束规划  混合智能算法  联合优化

Chance-constrained Model and Hybrid Intelligent Algorithm to Solve Stochastic Inventory Routing Problem
CHEN De-liang,CHEN Zhi-ya.Chance-constrained Model and Hybrid Intelligent Algorithm to Solve Stochastic Inventory Routing Problem[J].Fuzzy Systems and Mathematics,2010,24(3).
Authors:CHEN De-liang  CHEN Zhi-ya
Institution:CHEN De-liang1,2,CHEN Zhi-ya1 (1. School of Traffic & Transportation Engineering,Central South University,Changsha 410075,China,2. School of Logistics,Central South University of Forestry & Technology,Changsha 410004,China)
Abstract:Inventory routing problem with stochastic demand is a complicated combinatorial optimization problem. This paper addressed the integrated optimization of inventory routing problem in the context of Vendor-Managed Inventory,and developed a chance-constrained model and a solution of hybrid intelligent algorithms,of which combined stochastic simulation,artificial neural network and genetic algorithms. An example is finally demonstrated.
Keywords:Inventory Routing Problem  Chance-constrained Programming  Hybrid Intelligent Algorithms  Integrated Optimization  
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