An ILP improvement procedure for the Open Vehicle Routing Problem

被引:61
作者
Salari, Majid [1 ]
Toth, Paolo [1 ]
Tramontani, Andrea [1 ]
机构
[1] Univ Bologna, DEIS, I-40136 Bologna, Italy
关键词
Integer Linear Programming; Local search; Heuristics; Open Vehicle Routing Problem; SEARCH ALGORITHM;
D O I
10.1016/j.cor.2010.02.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We address the Open Vehicle Routing Problem (OVRP), a variant of the "classical" (capacitated and distance constrained) Vehicle Routing Problem (VRP) in which the vehicles are not required to return to the depot after completing their service. We present a heuristic improvement procedure for OVRP based on Integer Linear Programming (ILP) techniques. Given an initial feasible solution to be possibly improved, the method follows a destruct-and-repair paradigm, where the given solution is randomly destroyed (i.e., customers are removed in a random way) and repaired by solving an ILP model, in the attempt of finding a new improved feasible solution. The overall procedure can be considered as a general framework which could be extended to cover other variants of Vehicle Routing Problems. We report computational results on benchmark instances from the literature. In several cases, the proposed algorithm is able to find the new best known solution for the considered instances. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2106 / 2120
页数:15
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