Order matters - A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem

被引:27
作者
Huber, Sandra [1 ]
Geiger, Martin Josef [1 ]
机构
[1] Helmut Schmidt Univ, Univ Fed Armed Forces, Holstenhofweg 85, D-22043 Hamburg, Germany
关键词
Vehicle Routing Problem; VeRoLog Solver Challenge; Variable Neighborhood Search; Order of neighborhood operators; Parallel heuristic; SOLVING TRUCK; ALGORITHM; PICKUP;
D O I
10.1016/j.ejor.2017.04.046
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This article presents investigations on the performance of standard and problem specific neighborhood operators for the Swap-Body Vehicle Routing Problem. More specifically, our work analyzes the contribution of each operator to the solution quality. In addition, an experimental setting is defined that can be utilized to identify promising sequences in a Variable Neighborhood Search. The experiments verify that the sequence matters since two best known solutions can be equaled and 16 out of 18 solutions can be improved, with a maximal improvement of 2.25% and an average improvement of 0.70%. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:419 / 445
页数:27
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