Artificial Immune System for Solving Global Optimization Problems

dc.creatorAragon, Victoria Soledad
dc.creatorEsquivel, Susana C.
dc.creatorCoello Coello, Carlos A.
dc.date.accessioned2017-03-16T18:24:47Z
dc.date.accessioned2018-11-06T13:10:29Z
dc.date.available2017-03-16T18:24:47Z
dc.date.available2018-11-06T13:10:29Z
dc.date.created2017-03-16T18:24:47Z
dc.date.issued2010-02
dc.identifierAragon, Victoria Soledad; Esquivel, Susana C.; Coello Coello, Carlos A.; Artificial Immune System for Solving Global Optimization Problems; Asociación Española para la Inteligencia Artificial; Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence; 14; 46; 2-2010; 3-16
dc.identifier1137-3601
dc.identifierhttp://hdl.handle.net/11336/13976
dc.identifier1988-3064
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1872969
dc.description.abstractIn this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for global optimization problems. The model operates on four populations: Virgins, Effectors (CD4 and CD8) and Memory. Each of them has a different role, representation and procedures. We validate our proposed approach with a set of test functions taken from the specialized literature, we also compare our results with the results obtained by different bio-inspired approaches and we statistically analyze the results gotten by our approach.
dc.languageeng
dc.publisherAsociación Española para la Inteligencia Artificial
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/articulo.oa?id=92513108001
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectARTIFICIAL IMMUNE SYSTEMS
dc.subjectGLOBAL OPTIMIZATION PROBLEMS
dc.titleArtificial Immune System for Solving Global Optimization Problems
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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