Solving the Generalized Steiner Problem in edge-survivable networks

The Generalized Steiner Problem with Edge-Connectivity constraints (GSP-EC) consists of computing the minimal cost subnetwork of a given feasible network where some pairs of nodes must satisfy edge-connectivity requirements. It can be applied in the design of communications networks where connection...

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Main Author: Sartor, Pablo (author)
Other Authors: Robledo, Franco (author)
Format: report
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.12008/3461
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author Sartor, Pablo
author2 Robledo, Franco
author2_role author
author_browse Robledo, Franco
Sartor, Pablo
author_facet Sartor, Pablo
Robledo, Franco
author_role author
collection COLIBRI
dc.creator.none.fl_str_mv Sartor, Pablo
Robledo, Franco
dc.date.none.fl_str_mv 2011
2014-12-02T16:06:24Z
2014-12-02T16:06:24Z
20141202
dc.format.none.fl_str_mv 17 p.
application/pdf
dc.identifier.none.fl_str_mv SARTOR, P., ROBLEDO, F. "Solving the Generalized Steiner Problem in edge-survivable networks". Reportes Técnicos 11-09. UR. FI – INCO, 2011.
0797-6410
http://hdl.handle.net/20.500.12008/3461
dc.language.none.fl_str_mv in
dc.publisher.none.fl_str_mv UR. FI – INCO.
dc.relation.none.fl_str_mv Reportes Técnicos 11-09
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.none.fl_str_mv Network design
Edge-connectivity
Survivability
Steiner problems
Metaheuristics
GRASP
dc.title.none.fl_str_mv Solving the Generalized Steiner Problem in edge-survivable networks
dc.type.none.fl_str_mv Reporte técnico
info:eu-repo/semantics/report
info:eu-repo/semantics/publishedVersion
description The Generalized Steiner Problem with Edge-Connectivity constraints (GSP-EC) consists of computing the minimal cost subnetwork of a given feasible network where some pairs of nodes must satisfy edge-connectivity requirements. It can be applied in the design of communications networks where connection lines can fail and is known to be an NP-Complete problem. In this paper we introduce an algorithm based on GRASP (Greedy Randomized Adaptive Search Procedure), a combinatorial optimization metaheuristic that has proven to be very effective for such problems. Promising results are obtained when testing the algorithm over a set of heterogeneous network topologies and connectivity requirements; in all cases with known optimal cost, optimal or near-optimal solutions are found.
eu_rights_str_mv openAccess
format report
id anni_e2d393c581da3bc11ced37343d201087
identifier_str_mv SARTOR, P., ROBLEDO, F. "Solving the Generalized Steiner Problem in edge-survivable networks". Reportes Técnicos 11-09. UR. FI – INCO, 2011.
0797-6410
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language_invalid_str_mv in
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/3461
publishDate 2011
publishDateSort 2011
publisher.none.fl_str_mv UR. FI – INCO.
reponame_str COLIBRI
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
spelling Solving the Generalized Steiner Problem in edge-survivable networksSartor, PabloRobledo, FrancoNetwork designEdge-connectivitySurvivabilitySteiner problemsMetaheuristicsGRASPThe Generalized Steiner Problem with Edge-Connectivity constraints (GSP-EC) consists of computing the minimal cost subnetwork of a given feasible network where some pairs of nodes must satisfy edge-connectivity requirements. It can be applied in the design of communications networks where connection lines can fail and is known to be an NP-Complete problem. In this paper we introduce an algorithm based on GRASP (Greedy Randomized Adaptive Search Procedure), a combinatorial optimization metaheuristic that has proven to be very effective for such problems. Promising results are obtained when testing the algorithm over a set of heterogeneous network topologies and connectivity requirements; in all cases with known optimal cost, optimal or near-optimal solutions are found.UR. FI – INCO.2014-12-02T16:06:24Z2014-12-02T16:06:24Z201120141202Reporte técnicoinfo:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersion17 p.application/pdfSARTOR, P., ROBLEDO, F. "Solving the Generalized Steiner Problem in edge-survivable networks". Reportes Técnicos 11-09. UR. FI – INCO, 2011.0797-6410http://hdl.handle.net/20.500.12008/3461reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicainReportes Técnicos 11-09Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)oai:colibri.udelar.edu.uy:20.500.12008/34612026-04-14T10:16:11Z
spellingShingle Solving the Generalized Steiner Problem in edge-survivable networks
Sartor, Pablo
Network design
Edge-connectivity
Survivability
Steiner problems
Metaheuristics
GRASP
status_str publishedVersion
title Solving the Generalized Steiner Problem in edge-survivable networks
title_full Solving the Generalized Steiner Problem in edge-survivable networks
title_fullStr Solving the Generalized Steiner Problem in edge-survivable networks
title_full_unstemmed Solving the Generalized Steiner Problem in edge-survivable networks
title_short Solving the Generalized Steiner Problem in edge-survivable networks
title_sort Solving the Generalized Steiner Problem in edge-survivable networks
topic Network design
Edge-connectivity
Survivability
Steiner problems
Metaheuristics
GRASP
url http://hdl.handle.net/20.500.12008/3461