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An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangian Relaxation

Kohl, Niklas, Madsen, Oli B. G.·1997·Operations Research

Abstract

Our paper presents a new optimization method for the Vehicle Routing Problem with Time Windows (VRPTW). The VRPTW is a generalization of the Vehicle Routing Problem, where the service of a customer must start within a given time interval—a so-called time window. Our method is based on a Lagrangian relaxation of the constraint set requiring that each customer must be serviced. The master problem consists of finding the optimal Lagrangian multipliers and the subproblem is a Shortest Path Problem with Time Windows and Capacity Constraints. The optimal multipliers are found using a method exploiting the benefits of subgradient methods as well as a bundle method. The method has been implemented and tested on a series of well-known benchmark problems of size up to 100 customers. Our algorithm turns out to be very competitive compared to algorithms considered in the literature, and we have succeeded in solving several previously unsolved problems.

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Metadata

Authors
Kohl, N., & Madsen, O. B. G.
Venue
Operations Research
Published
1997-06
Volume
45
Issue
3
Pages
395-406
ISSN
  • 0030-364X (ISSN-L)
  • 1526-5463
OpenAlex
W2104361976
Cited by
215
References
0
FWCI
30.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangian Relaxation. https://app.cochat.ai/papers/10.1287/opre.45.3.395
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Kohl, N., & Madsen, O. B. G. (1997). An Optimization Algorithm for the Vehicle Routing Problem with Time Windows Based on Lagrangian Relaxation. Operations Research. https://doi.org/10.1287/opre.45.3.395

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.