A tabu search heuristic for the single vehicle pickup and delivery problem with time windows

被引:45
作者
Landrieu, A [1 ]
Mati, Y [1 ]
Binder, Z [1 ]
机构
[1] ENSIEG, Lab Automat Grenoble, F-38402 St Martin Dheres, France
关键词
pickup and delivery; time windows; vehicle routing; tabu search; metaheuristics;
D O I
10.1023/A:1012204504849
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The single vehicle pickup and delivery problem with time windows is a generalization of the traveling salesman problem. In such a problem, a number of transportation requests have to be satisfied by one vehicle, each request having constraints to respect: a pickup at its origin and a delivery at its destination, and a time window at each location. The capacity of the vehicle has to be respected. The aim is to minimize the total distance traveled by the vehicle. A number of exact and approximate solution methods exists in the literature, but to the author's knowledge none of them make use of metaheuristics, still promising with other vehicle routing problems. In this paper we present tabu search and probabilistic tabu search. Results obtained on classical traveling salesman problems and a class of randomly generated instances indicate that our approach often produces optimal solutions in a relatively short execution time.
引用
收藏
页码:497 / 508
页数:12
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