Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (25): 20-23.DOI: 10.3778/j.issn.1002-8331.2008.25.006

• 博士论坛 • Previous Articles     Next Articles

Time-expanded network K shortest paths algorithm for over-loading transportations

HUANG Ze-han1,2,TAN Yue-jin1,DENG Hong-zhong1   

  1. 1.College of Information System and Management,National University of Defense Technology,Changsha 410073,China
    2.Department of Management Engineering,Naval University of Engineering,Wuhan 430033,China
  • Received:2008-01-10 Revised:2008-06-10 Online:2008-09-01 Published:2008-09-01
  • Contact: HUANG Ze-han

大规模定量传输的时间扩展网络K最短路径算法

黄泽汉1,2,谭跃进1,邓宏钟1   

  1. 1.国防科技大学 信息系统与管理学院,长沙 410073
    2.海军工程大学 管理工程系,武汉 430033
  • 通讯作者: 黄泽汉

Abstract: The mass multi-commodity network scheduling problems can not be solved by the Dijkstra,the Floyd and the other the conventional static algorithms under over-loading transportation.Based on the Hypotheses of the temporal consistency of transportation,this paper presents a time-expanded network K shortest paths algorithm(TEN-KSP).In the last,a application case on the logistics support network scheduling problems is studied by this algorithm,and satisfied optimal solutions are gained.

Key words: logistics support network, networks scheduling, shortest paths

摘要: 大规模的军用物资调度,需要传输的物资远远超出保障网络实际传输能力的情况下,现有的Dijkstra算法、Floyd算法以及传统的网络K-最短路径算法,难以求解这类网络调度优化问题。在蚁群算法的基础上,设计了一种基于时间扩展的网络K-最短路径算法,满足网络传输一致性假设的前提下,求解大规模定量传输问题。最后给出面向任务的物流保障网络调度的应用实例,获得满意的网络调度优化方案。

关键词: 物流保障网络, 网络调度, 最短路径