摘要
以多辆车协作的随机车辆路径问题为研究对象,设计了通用的随机车辆路径问题机会约束模型,提出了大规模随机车辆路径问题的车辆协作策略,并基于该策略与模型设计了求解大规模随机车辆路径问题的混合启发式算法,计算实验结果说明了该算法与策略的有效性与实用性。
The problem of vehicle routing when demand at the nodes is uncertain is considered.The vehicle coordinated strategy,universal chance constraint model and a hybrid heuristic algorithm,include a fuzzy clustering technique and a tabu search are provided for large scale stochastic vehicle routing problem(SVRP) based on the proposed strategy.Computational results show the high performance and effectiveness of the proposed strategy and algorithm.
出处
《管理工程学报》
CSSCI
北大核心
2010年第2期75-78,67,共5页
Journal of Industrial Engineering and Engineering Management
基金
高等学校博士点基金资助项目(20050532029)
关键词
随机车辆路径问题
车辆协作策略
模糊聚类
禁忌搜索
stochastic vehicle routing problem
vehicle coordinated strategy
fuzzy clustering
tabu search