Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10201/138542

Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorGómez Marmol, Félix-
dc.contributor.authorMartínez Pérez, Gregorio-
dc.contributor.authorMarín Blázquez, Javier G.-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Facultades de la UMU::Facultad de Informáticaes
dc.date.accessioned2024-02-02T11:22:51Z-
dc.date.available2024-02-02T11:22:51Z-
dc.date.created2011-
dc.identifier.citationIntelligent Automation and Soft Computing, Vol. 17, No. 1, pp. 41-59, 2011es
dc.identifier.issn1079-8587-
dc.identifier.issn2326-005X-
dc.identifier.urihttp://hdl.handle.net/10201/138542-
dc.description©2011. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published version of a Published Work that appeared in final form in Intelligent Automation and Soft Computinges
dc.description.abstractEnsuring trust and confidence in virtual communities ’ transactions is a critical issue nowadays. But even more important can become the use of robust and accurate trust models allowing an entity to decide which other entity to interact with. This paper aims to study the robustness of TACS (Trust Ant Colony System), a previously proposed bio-inspired P2P trust model, when applying a genetic algorithm in order to find the range of values of its working parameters that provides the best TACS performance. The optimization of those parameters has been carried out using the CHC genetic algorithm. Experiments seems to demonstrate that TACS can achieve high performance ratios due to the enhancement provided by META-TACS, and to achieve them for a wide range of working parameters, hence showing a remarkable robustnesses
dc.formatapplication/pdfes
dc.format.extent19es
dc.languageenges
dc.publisherTech Science Presses
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRobust Trust Modeles
dc.subjectCHC Genetic Algorithmes
dc.subjectTACSes
dc.subjectTrust Ant Colony Systemes
dc.subjectTrust managementes
dc.subjectP2P Networkses
dc.subjectMeta-heuristicses
dc.subject.otherCDU::0 - Generalidades.::00 - Ciencia y conocimiento. Investigación. Cultura. Humanidades.::004 - Ciencia y tecnología de los ordenadores. Informática.es
dc.titleMeta-Tacs: a trust model demonstration of robustness through a genetic algorithmes
dc.typeinfo:eu-repo/semantics/articlees
Aparece en las colecciones:Artículos: Ingeniería de la Información y las Comunicaciones

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
Art.11.IntelligentAutomationandSoftComp11.full.pdf740,6 kBAdobe PDFVista previa
Visualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons