摘要
针对配送范围内顾客需求的模糊性,引入决策者的主观风险偏好,通过模糊数学理论,在将模糊需求转化为实际需求的基础之上,运用聚类的方法将所在的物流区域划分为不同的单元,在每个物流区域内应用模拟退火算法进行最优化设计,进而解决模糊需求信息条件下的动态车辆路径问题。在模拟退火算法中,通过控制决策者主观偏好性参数,得到决策者偏好的大小与车辆路径最小化的关系。
For the ambiguity of the customer requirements within the scope of distribution, the paper develops a concept of the decision maker＇s subjective risk preference. First, the logistics area is divided into different units u- sing the cluster method on the basic of transforming fuzzy requirements into actual demand by the theory of fuzzy mathematics, and then the model of the dynamic vehicle routing problem is established under the condition of fuzzy demand information. Finally, the simulated annealing algorithm is used to design the model in a more optimal way. Through controlling the parameter of the decision maker＇s subjective risk preference, the paper gets the rela- tionship between the parameter and the minimum distance.
出处
《黑龙江大学工程学报》
2012年第3期81-86,共6页
Journal of Engineering of Heilongjiang University
基金
国家重点基础研究发展规划项目(2008CB716204)
江苏省自然科学基金项目(BK2008097)
中央高校基础科研专项资金资助项目(JUSRP31005)
关键词
聚类分析
模糊需求
决策者偏好
模拟退火算法
clustering analysis
fuzzy demand
decision maker＇s preference
simulated annealing algorithm
