Publication: Meta-Tacs: a trust model demonstration of robustness through a genetic algorithm
Authors
Gómez Marmol, Félix ; Martínez Pérez, Gregorio ; Marín Blázquez, Javier G.
item.page.secondaryauthor
item.page.director
Publisher
Tech Science Press
publication.page.editor
publication.page.department
DOI
item.page.type
info:eu-repo/semantics/article
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 Computing
Abstract
Ensuring 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 robustness
publication.page.subject
Citation
Intelligent Automation and Soft Computing, Vol. 17, No. 1, pp. 41-59, 2011
item.page.embargo
Collections
Ir a Estadísticas
Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc-nd/4.0/