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dc.contributor.authorGonzález Martín, Sergio
dc.contributor.authorJuan Pérez, Angel Alejandro
dc.contributor.authorRiera Terrén, Daniel
dc.contributor.authorCaceres Cruz, Jose de Jesus
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I
dc.identifier.citationGonzález-Martín, S. [et al.]. A hybrid algorithm combining path scanning and biased random sampling for the Arc Routing Problem. A: International Workshop on. "Proceedings of the 18th RCRA Workshop on". Barcelona: 2011, p. 46-54.
dc.description.abstractThe Arc Routing Problem is a kind of NP-hard routing problems where the demand is located in some of the arcs connecting nodes and should be completely served fulfilling certain constraints. This paper presents a hybrid algorithm which combines a classical heuristic with biased random sampling, to solve the Capacitated Arc Routing Problem (CARP). This new algorithm is compared with the classical Path scanning heuristic, reaching results which outperform it. As discussed in the paper, the methodology presented is flexible, can be easily parallelised and it does not require any complex fine-tuning process. Some preliminary tests show the potential of the proposed approach as well as its limitations
dc.format.extent9 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject.lcshCombinatorial optimization
dc.titleA hybrid algorithm combining path scanning and biased random sampling for the Arc Routing Problem
dc.typeConference report
dc.subject.lemacOptimització combinatòria
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorGonzález-Martín, S.; Juan, A.; Riera, D.; Caceres, J.
local.citation.contributorInternational Workshop on
local.citation.publicationNameProceedings of the 18th RCRA Workshop on

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