Heuristics for the Stochastic Eulerian Tour Problem

被引:2
|
作者
Mohan, Srimathy [1 ]
Gendreau, Michel [2 ]
Rousseau, Jean-Marc [2 ]
机构
[1] Arizona State Univ, Dept Supply Chain Managernent, WP Carey Sch Business, Phoenix, AZ 85069 USA
[2] Univ Montreal, Interuniv Res Ctr Enterprise Networks Logist & Tr, Montreal, PQ H3C 3J7, Canada
关键词
Routing; Arc routing; Eulerian Tour Problem; Stochastic demand; Heuristics;
D O I
10.1016/j.ejor.2009.07.007
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The Stochastic Eulerian Tour Problem (SETP) seeks the Eulerian tour of minimum expected length on an undirected Eulerian graph, when demand on the arcs that have to be serviced is probabilistic. The SETP is NP-hard and in this paper, we develop three constructive heuristics for this problem. The first two are greedy tour construction heuristics while the third is a sub-tour concatenation heuristic. Our experimental results show that for grid networks, the sub-tour concatenation heuristic performs well when the probability of service of each edge is greater than 0.1. For Euclidean networks, as the number of edges increases, the second heuristic performs the best among the three. Also, the expected length of our overall best solution is lower than the expected length of a random tour by LIP to 10% on average for grid networks and up to 2% for Euclidean networks. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:107 / 117
页数:11
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