Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (18): 215-218.DOI: 10.3778/j.issn.1002-8331.2009.18.064

• 工程与应用 • Previous Articles     Next Articles

Optimization of logistics delivery routing problem by using fuzzy chance constrained programming

XIE Xiao-liang1,2,FU Zhuo1   

  1. 1.School of Traffic and Transportation Engineering,Central South University,Changsha 410075,China
    2.School of Information,Hunan University of Commerce,Changsha 410205,China
  • Received:2009-03-06 Revised:2009-04-16 Online:2009-06-21 Published:2009-06-21
  • Contact: XIE Xiao-liang

模糊机会约束规划下的物流配送路径优化

谢小良1,2,符 卓1   

  1. 1.中南大学 交通运输工程学院,长沙 410075
    2.湖南商学院 信息学院,长沙 410205
  • 通讯作者: 谢小良

Abstract: The optimization of logistics delivery routing problem with fuzzy demand is analyzed, and the fuzzy chance constrained programming model is established based on fuzzy possibility of fuzzy mathematics.At the same time,this problem is solved by using the new tabu search algorithm.The case illustrated in this paper,indicates that the model and algorithm are worthy of applying.

Key words: logistics delivery, fuzzy vehicle routing problem, fuzzy chance constrained programming, tabu search algorithm, decisionmaker’s preference, fuzzy simulation

摘要: 针对模糊需求信息条件下物流配送路径优化问题进行了分析,运用模糊数学的可能性理论建立了该问题的模糊机会约束规划模型,并构造了一种新的禁忌搜索算法进行求解。算例说明,该模型及算法对于模糊需求下物流配送路径优化问题具有一定的实用价值。

关键词: 物流配送, 模糊车辆路径问题, 模糊机会约束规划, 禁忌搜索算法, 决策者偏好, 模糊模拟