The Multiple Trip Vehicle Routing Problem with Backhauls: Formulation and a Two-Level Variable Neighbourhood Search
In this paper a new VRP variant the Multiple Trip Vehicle Routing Problem with Backhauls (MT-VRPB) is investigated. The classical MT-VRP model is extended by including the backhauling aspect. An ILP formulation of the MT-VRPB is first presented and CPLEX results for small and medium size instances a...
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| Vydáno v: | Computers & operations research Ročník 78; s. 454 - 467 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Elsevier Ltd
01.02.2017
Pergamon Press Inc |
| Témata: | |
| ISSN: | 0305-0548, 1873-765X, 0305-0548 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | In this paper a new VRP variant the Multiple Trip Vehicle Routing Problem with Backhauls (MT-VRPB) is investigated. The classical MT-VRP model is extended by including the backhauling aspect. An ILP formulation of the MT-VRPB is first presented and CPLEX results for small and medium size instances are reported. For large instances of the MT-VRPB a Two-Level VNS algorithm is developed. To gain a continuous balanced intensification and diversification during the search process VNS is embedded with the sequential VND and a multi-layer local search approach. The algorithm is tested on a set of new MT-VRPB data instances which we generated. Interesting computational results are presented. The Two-Level VNS produced excellent results when tested on the special variant of the VRPB.
•An introduction of a new VRP variant – MT-VRPB – an ILP formation of the problem.•CPLEX implementation to test the model and producing optimal solutions and bounds.•A sweep-first-assignment-second that produces initial feasible solution quickly.•A Two-Level VNS algorithm to solve the MT-VRPB efficiently.•A new MT-VRPB data set is generated that could be used for benchmarking.•The developed algorithm is useable for the classical VRPB. |
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| Bibliografie: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
| ISSN: | 0305-0548 1873-765X 0305-0548 |
| DOI: | 10.1016/j.cor.2015.12.017 |