南京理工大学学报（自然科学版）2011，Vol.35Issue(4)：579-584,6.
移动供应链实时调度模型及协同进化遗传算法
Dynamic Scheduling Model and Co-evolutionary Genetic Algorithm of Mobile Supply Chain
摘要
Abstract
The dynamic supply chain distribution system is researched by accurate control of inventory checking and vehicle scheduling. The supply chain dynamic scheduling model is formulated based on the integration of the supply chain inventory policy and vehicle routing plan in order to fulfill the optimization of the order quantity and the on-the-way inventory of the random demand of retailers. Based on the scheduling model, a co-evolutionary genetic algorithm is proposed to resolve the constraint satisfaction problem in combinatorial optimization. Simulation results show that the dynamic scheduling model can decrease the total running cost of a supply chain.关键词
实时调度模型/移动定位/约束满足/协同进化遗传算法Key words
dynamic scheduling models/ mobile location/ constraint satisfaction/ co-evolutionary genetic algorithm分类
计算机与自动化引用本文复制引用
杨洋,王龙..移动供应链实时调度模型及协同进化遗传算法[J].南京理工大学学报（自然科学版）,2011,35(4):579-584,6.基金项目
国家自然科学基金(71002060) （71002060）
中国博士后科学基金(20090450968) （20090450968）
