Neighborhood search heuristics for a dynamic vehicle dispatching problem with pick-ups and deliveries

被引:162
作者
Gendreau, Michel
Guertin, Francois
Potvin, Jean-Yves
Seguin, Rene
机构
[1] Univ Montreal, Dept Informat & Rech Operat, Montreal, PQ H3C 3J7, Canada
[2] Univ Montreal, Ctr Rech Transports, Montreal, PQ H3C 3J7, Canada
[3] Ctr Operat Res & Anal, Def Res & Dev Canada, Ottawa, ON K1A 0K2, Canada
关键词
vehicle dispatching; real-time; tabu search; neighborhood; ejection chains; parallel computing;
D O I
10.1016/j.trc.2006.03.002
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper proposes neighborhood search heuristics to optimize the planned routes of vehicles in a context where new requests, with a pick-up and a delivery location, occur in real-time. Within this framework, new solutions are explored through a neighborhood structure based on ejection chains. Numerical results show the benefits of these procedures in a real-time context. The impact of a master slave parallelization scheme, using an increasing number of processors, is also investigated. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:157 / 174
页数:18
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