The Steiner traveling salesman problem with online advanced edge blockages

被引:19
|
作者
Zhang, Huili [1 ,2 ,3 ]
Tong, Weitian [1 ,4 ]
Xu, Yinfeng [1 ,2 ,3 ]
Lin, Guohui [1 ]
机构
[1] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2E8, Canada
[2] Xi An Jiao Tong Univ, Sch Management, Xian, Peoples R China
[3] State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
[4] Georgia So Univ, Dept Comp Sci, Statesboro, GA 30458 USA
基金
中国博士后科学基金; 加拿大自然科学与工程研究理事会;
关键词
Traveling salesman problem; Steiner TSP; Advanced edge blockage; Online algorithm; Competitive ratio; ADVANCED INFORMATION; ORDER-PICKING; WAREHOUSE; ALGORITHM; NETWORKS; TIMES;
D O I
10.1016/j.cor.2015.12.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The package delivery in an urban road network is formulated as an online Steiner traveling salesman problem, where the driver (i.e. the salesman) receives road (i.e. edge) blockage messages when he is at a certain distance to the respective blocked edges. Such road blockages are referred to as advanced information. With these online advanced road blockages, the driver wishes to deliver all the packages to their respective customers and returns back to the service depot through a shortest route. During the entire delivery process, there will be at most k road blockages, and they are non-recoverable. When the driver knows about road blockages at a distance alpha OPT, where alpha is an element of [0, 1] is referred to as the forecasting ratio and OPT denotes the length of the offline shortest route, we first prove that max{(1-2 alpha)k+1, 1} is a lower bound on the competitive ratio. We then present a polynomial time online algorithm with a competitive ratio very close to this lower bound. Computational results show that our algorithm is efficient and produces near optimal solutions. Similar results for a variation, in which the driver does not need to return to the service depot, are also achieved. (C) 2015 Elsevier Ltd. All rights reserved.
引用
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页码:26 / 38
页数:13
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