Solving Constrained Optimization using a T-Cell Artificial Immune System
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 solving constrained (numerical) optimization problems. The model operates on three populations: Virgins, Effectors and Memory. Each of them has a...
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| Pubblicato in: | Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Asociación Española para la Inteligencia Artificial
2008
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=92513191001 |
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