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dc.contributor.authorBravo, Yesnier
dc.contributor.authorLuque-Polo, Gabriel Jesús 
dc.contributor.authorAlba-Torres, Enrique 
dc.date.accessioned2013-07-15T10:35:07Z
dc.date.available2013-07-15T10:35:07Z
dc.date.issued2013
dc.identifier.citationYesnier Bravo, Gabriel Luque, Enrique Alba, Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization, Distributed Computing and Artificial Intelligence Advances in Intelligent Systems and Computing Volume 217, 2013, pp 155-162, Salamanca, Spaines_ES
dc.identifier.urihttp://hdl.handle.net/10630/5614
dc.description.abstractMany distributed systems (task scheduling, moving priorities, changing mobile environments, ...) can be linked as Dynamic Optimization Problems (DOPs), since they require to pursue an optimal value that changes over time. Consequently, we have focused on the utilization of Distributed Genetic Algorithms (dGAs), one of the domains still to be investigated for DOPs. A dGA essentially decentralizes the population in islands which cooperate through migrations of individuals. In this article, we analyze the effect of the migrants selection and replacement on the performance of the dGA for DOPs. Quality and distance based criteria are tested using a comprehensive set of benchmarks. Results show the benefits and drawbacks of each setting in dynamic optimization.es_ES
dc.description.sponsorshipUniversidad de Málaga. Proyecto roadME (TIN2011-28194). Programa de movilidad de la AUIP.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAlgoritmos genéticoses_ES
dc.subject.otherDynamic Optimizationes_ES
dc.subject.otherExperimental Analysises_ES
dc.subject.otherParallelismes_ES
dc.subject.otherDistributed Evolutionary Algorithmes_ES
dc.titleMigrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES


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