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A route-neighborhood-based metaheuristic for vehicle routing problem with time windows
In this paper, a two-stage metaheuristic based on a new neighborhood structure is proposed to solve the vehicle routing problem with time windows (VRPTW). Our neighborhood construction focuses on the relationship between route(s) and node(s). Unlike the conventional methods for parallel route constr...
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Published in: | European journal of operational research 1999-11, Vol.118 (3), p.485-504 |
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container_title | European journal of operational research |
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creator | Liu, Fuh-Hwa Franklin Shen, Sheng-Yuan |
description | In this paper, a two-stage metaheuristic based on a new neighborhood structure is proposed to solve the vehicle routing problem with time windows (VRPTW). Our neighborhood construction focuses on the relationship between route(s) and node(s). Unlike the conventional methods for parallel route construction, we construct routes in a nested parallel manner to obtain higher solution quality. Valuable information extracted from the previous parallel construction runs is used to enhance the performance of parallel construction. In addition, when there are only a few unrouted customers left, we design a special procedure for handling them. Computational results for 60 benchmark problems are reported. The results indicate that our approach is highly competitive with all existing heuristics, and in particular very promising for solving problems of large size. |
doi_str_mv | 10.1016/S0377-2217(98)00315-4 |
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language | eng |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Heuristic Metaheuristics Neighborhood Neighborhoods Operations research Routing Studies Time windows Vehicles |
title | A route-neighborhood-based metaheuristic for vehicle routing problem with time windows |
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