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A metaheuristic for the vehicle-routeing problem with soft time windows
This paper develops a metaheuristic for the vehicle-routeing and scheduling problem with soft time window constraints. A tabu search solution method is developed, which utilizes a mixed neighbourhood structure and an advanced recovery procedure to generate high-quality solutions. Computational resul...
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Published in: | The Journal of the Operational Research Society 2004-12, Vol.55 (12), p.1298-1310 |
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creator | Chiang, W-C Russell, R A |
description | This paper develops a metaheuristic for the vehicle-routeing and scheduling problem with soft time window constraints. A tabu search solution method is developed, which utilizes a mixed neighbourhood structure and an advanced recovery procedure to generate high-quality solutions. Computational results on test problems from the literature are reported. The metaheuristic achieves solutions that compare favourably with previously reported results. |
doi_str_mv | 10.1057/palgrave.jors.2601791 |
format | article |
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subjects | Algorithms Applied sciences Business and Management Cost control Customer services Datasets Exact sciences and technology Flows in networks. Combinatorial problems Heuristic Heuristics Logistics Management metaheuristics Neighborhoods Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Scheduling Taboos Tabu search Theoretical Paper Theoretical Papers Time windows Travel time Vehicle operation vehicle routeing Vehicles |
title | A metaheuristic for the vehicle-routeing problem with soft time windows |
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