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Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems

In this article, we introduce the Generalized [Formula: see text] -Survivable Network Design Problem ([Formula: see text] -GSNDP) which has applications in the design of backbone networks. Different mixed integer linear programming formulations are derived by combining previous results obtained for...

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Autor principal: Leitner, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960293/
https://www.ncbi.nlm.nih.gov/pubmed/27512292
http://dx.doi.org/10.1007/s10589-016-9836-y
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author Leitner, Markus
author_facet Leitner, Markus
author_sort Leitner, Markus
collection PubMed
description In this article, we introduce the Generalized [Formula: see text] -Survivable Network Design Problem ([Formula: see text] -GSNDP) which has applications in the design of backbone networks. Different mixed integer linear programming formulations are derived by combining previous results obtained for the related [Formula: see text] -GSNDP and Generalized Network Design Problems. An extensive computational study comparing the correspondingly developed branch-and-cut approaches shows clear advantages for two particular variants. Additional insights into individual advantages and disadvantages of the developed algorithms for different instance characteristics are given.
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spelling pubmed-49602932016-08-08 Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems Leitner, Markus Comput Optim Appl Article In this article, we introduce the Generalized [Formula: see text] -Survivable Network Design Problem ([Formula: see text] -GSNDP) which has applications in the design of backbone networks. Different mixed integer linear programming formulations are derived by combining previous results obtained for the related [Formula: see text] -GSNDP and Generalized Network Design Problems. An extensive computational study comparing the correspondingly developed branch-and-cut approaches shows clear advantages for two particular variants. Additional insights into individual advantages and disadvantages of the developed algorithms for different instance characteristics are given. Springer US 2016-03-02 2016 /pmc/articles/PMC4960293/ /pubmed/27512292 http://dx.doi.org/10.1007/s10589-016-9836-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Leitner, Markus
Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title_full Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title_fullStr Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title_full_unstemmed Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title_short Integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
title_sort integer programming models and branch-and-cut approaches to generalized {0,1,2}-survivable network design problems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960293/
https://www.ncbi.nlm.nih.gov/pubmed/27512292
http://dx.doi.org/10.1007/s10589-016-9836-y
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