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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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INFORMS Journal on Computing
Article . 1995 . Peer-reviewed
Data sources: Crossref
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Article . 2020
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A Matching Based Exact Algorithm for Capacitated Vehicle Routing Problems

A matching based exact algorithm for capacitated vehicle routing problems
Authors: Donald L. Miller;

A Matching Based Exact Algorithm for Capacitated Vehicle Routing Problems

Abstract

A branch and bound algorithm for capacitated vehicle routing is described. Lower bounds are derived by relaxing the subtour elimination and vehicle capacity constraints to yield a perfect b-matching problem. Bounds are strengthened by using Lagrange multipliers to enforce subtour elimination and capacity constraints. Computational results are reported for problems taken from the literature for sizes up to 61 vertices. With the exception of the 48 vertex instance (att48.vrp), the algorithm solves all problems in TSPLIB having 51 or fewer vertices. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

Keywords

Transportation, logistics and supply chain management, Lagrange multipliers, perfect \(b\)-matching, branch-and-bound, capacitated vehicle routing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Average
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