The probabilistic uncapacitated open vehicle routing location problem

被引:0
|
作者
Averbakh, Igor [1 ,2 ]
Yu, Wei [3 ]
机构
[1] Univ Toronto Scarborough, Dept Management, 1265 Mil Trail, Toronto, ON M1C 1A4, Canada
[2] Univ Toronto, Rotman Sch Management, 105 St George St, Toronto, ON M5S 3E6, Canada
[3] East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
approximation algorithm; location; open vehicle routing; probabilistic location-routing; traveling salesman location problem; ALGORITHM;
D O I
10.1002/net.22147
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Suppose that m$$ m $$ mobile service units are located at a base station (depot) in a transportation network with n$$ n $$ nodes. On any day, the nodes of the network may generate calls for service independently with known probabilities. The calls are centrally allocated to the service units who then visit the allocated customers on shortest open tours, that is, for each service unit, the way back to the depot from the last served customer is not counted towards the length of the tour. It is required to find an optimal location for the depot to minimize the expected travel distance. We obtain bounds on the approximation ratios for two simple and fast heuristics for the problem on a general network. For the problem on a tree, we present an O(nm+1)$$ O\left({n}<^>{m+1}\right) $$ exact algorithm.
引用
收藏
页码:68 / 83
页数:16
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