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Lagrangean decomposition for the fixed charge multicommodity network design problem

Lagrangean decomposition for the fixed charge multicommodity network design problem
Lagrangean decomposition for the fixed charge multicommodity network design problem
Traditional Lagrangean relaxations for the multicommodity capacitated network design problem (MCNDP) involve dualizing either arc capacity or flow conservation constraints. The former (shortest-path relaxation) results in loosing the capacity structure whereas the latter (knapsack relaxation) does not maintain any information related to the network structure. Furthermore, both relaxations yield bounds that are at best equal to the value of the LP relaxation. This paper describes a new relaxation for the MCNDP, based on Lagrangean decomposition, which allows one to decompose the problem by nodes, and the subproblems partially preserve both the network and the capacity structure. This is, to the best of the authors' knowledge, the first relaxation for the MCNDP that theoretically yields better bounds than the LP relaxation.
CORMSIS-08-17
University of Southampton
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Crainic, T.G.
8bf6f82d-a944-4530-81a6-cf9b46721256
Gendron, B.
a51b41bf-02cf-4f4e-853a-a538230b8166
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Crainic, T.G.
8bf6f82d-a944-4530-81a6-cf9b46721256
Gendron, B.
a51b41bf-02cf-4f4e-853a-a538230b8166

Bektas, T., Crainic, T.G. and Gendron, B. (2008) Lagrangean decomposition for the fixed charge multicommodity network design problem (Discussion Papers in Centre for Operational Research, Management Science and Information Systems, CORMSIS-08-17) Southampton, UK. University of Southampton

Record type: Monograph (Discussion Paper)

Abstract

Traditional Lagrangean relaxations for the multicommodity capacitated network design problem (MCNDP) involve dualizing either arc capacity or flow conservation constraints. The former (shortest-path relaxation) results in loosing the capacity structure whereas the latter (knapsack relaxation) does not maintain any information related to the network structure. Furthermore, both relaxations yield bounds that are at best equal to the value of the LP relaxation. This paper describes a new relaxation for the MCNDP, based on Lagrangean decomposition, which allows one to decompose the problem by nodes, and the subproblems partially preserve both the network and the capacity structure. This is, to the best of the authors' knowledge, the first relaxation for the MCNDP that theoretically yields better bounds than the LP relaxation.

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Published date: 2008

Identifiers

Local EPrints ID: 63014
URI: http://eprints.soton.ac.uk/id/eprint/63014
PURE UUID: f0d0ea38-7a09-4161-956d-dc82cd7f20b3
ORCID for T. Bektas: ORCID iD orcid.org/0000-0003-0634-144X

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Date deposited: 11 Mar 2009
Last modified: 11 Dec 2021 18:09

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Contributors

Author: T. Bektas ORCID iD
Author: T.G. Crainic
Author: B. Gendron

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