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Calibrating a large network model describing the transmission dynamics of the human papillomavirus (HPV) using a Particle Swarm Optimization (PSO) algorithm in a distributed computing environment

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Calibrating a large network model describing the transmission dynamics of the human papillomavirus (HPV) using a Particle Swarm Optimization (PSO) algorithm in a distributed computing environment

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dc.contributor.author Acedo Rodríguez, Luis es_ES
dc.contributor.author Burgos-Simon, Clara es_ES
dc.contributor.author Hidalgo, José-Ignacio es_ES
dc.contributor.author Sánchez-Alonso, Víctor es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.contributor.author Villanueva-Oller, Javier es_ES
dc.date.accessioned 2020-04-17T12:48:00Z
dc.date.available 2020-04-17T12:48:00Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1094-3420 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140834
dc.description.abstract [EN] Working in large networks applied to epidemiological-type models has led us to design a simple but e↵ective computed distributed environment to perform a large amount of model simulations in a reasonable time in order to study the behavior of these models and to calibrate them. Finding the model parameters that best fit the available data in the designed distributed computing environment becomes a challenge and it is necessary to implement reliable algorithms for model calibration. In this paper, we have adapted the random PSO algorithm to our distributed computing environment to be applied to the calibration of a Papillomavirus transmission dynamics model on a lifetime sexual partners network. And we have obtained a good fitting saving time and calculations compared with the exhaustive searching strategy we have been using so far. es_ES
dc.description.sponsorship The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been partially supported by the Ministerio de Economa y Competitividad Grants MTM2013-41765-P and TIN 2014-54806-R. es_ES
dc.language Inglés es_ES
dc.publisher SAGE Publications es_ES
dc.relation.ispartof International Journal of High Performance Computing Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Network models es_ES
dc.subject Distributed computing paradigm es_ES
dc.subject Model calibration es_ES
dc.subject Particle swarm optimization es_ES
dc.subject Human papillomavirus es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Calibrating a large network model describing the transmission dynamics of the human papillomavirus (HPV) using a Particle Swarm Optimization (PSO) algorithm in a distributed computing environment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1177/1094342017697862 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2014-54806-R/ES/DESARROLLO DE SISTEMAS ADAPTATIVOS Y BIOINSPIRADOS PARA EL CONTROL GLUCEMICO CON INFUSORES SUBCUTANEOS CONTINUOS DE INSULINA Y MONITORES CONTINUOS DE GLUCOSA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2013-41765-P/ES/METODOS COMPUTACIONALES PARA ECUACIONES DIFERENCIALES ALEATORIAS: TEORIA Y APLICACIONES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Acedo Rodríguez, L.; Burgos-Simon, C.; Hidalgo, J.; Sánchez-Alonso, V.; Villanueva Micó, RJ.; Villanueva-Oller, J. (2018). Calibrating a large network model describing the transmission dynamics of the human papillomavirus (HPV) using a Particle Swarm Optimization (PSO) algorithm in a distributed computing environment. International Journal of High Performance Computing Applications. 32(5):721-728. https://doi.org/10.1177/1094342017697862 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1177/1094342017697862 es_ES
dc.description.upvformatpinicio 721 es_ES
dc.description.upvformatpfin 728 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 32 es_ES
dc.description.issue 5 es_ES
dc.relation.pasarela S\337118 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
dc.description.references Acedo, L., Lamprianidou, E., Moraño, J.-A., Villanueva-Oller, J., & Villanueva, R.-J. (2015). Firing patterns in a random network cellular automata model of the brain. Physica A: Statistical Mechanics and its Applications, 435, 111-119. doi:10.1016/j.physa.2015.05.017 es_ES
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dc.description.references González-Parra, G., Villanueva, R.-J., Ruiz-Baragaño, J., & Moraño, J.-A. (2015). Modelling influenza A(H1N1) 2009 epidemics using a random network in a distributed computing environment. Acta Tropica, 143, 29-35. doi:10.1016/j.actatropica.2014.12.008 es_ES
dc.description.references Khemka, N., & Jacob, C. (2010). Exploratory Toolkit for Evolutionary and Swarm-Based Optimization. The Mathematica Journal, 11(3), 376-391. doi:10.3888/tmj.11.3-5 es_ES


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