Artificial Immune System for Solving Global Optimization Problems
- Aragón García, Victoria
- Esquivel, Susana
- Coello Coello, Carlos
ISSN: 1137-3601, 1988-3064
Año de publicación: 2010
Volumen: 14
Número: 46
Páginas: 3-16
Tipo: Artículo
Otras publicaciones en: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial
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.