Artículo
Artificial Immune System for Solving Global Optimization Problems
Fecha de publicación:
02/2010
Editorial:
Asociación Española para la Inteligencia Artificial
Revista:
Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence
ISSN:
1137-3601
e-ISSN:
1988-3064
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In 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.
Palabras clave:
Artificial Immune Systems
,
Global Optimization Problems
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - SAN LUIS)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SAN LUIS
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SAN LUIS
Citación
Aragon, 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
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