Artificial Immune Systems


[Introduction] - [People] - [Publications] - [Research] - [Projects] - [Events] - [Teaching] - [The Giants] - [Contact] .

Computational Immunology

The Natural Immune System (IS) has to assure recognition of each potentially dangerous molecule or substance, generically called antigen that can infect the host organism. The IS first recognizes it as dangerous or extraneous and then mounts a response to eliminate it. To detect an antigen, the IS activates a recognition process. Moreover, the IS only has finite resources and often very little time to produce antibodies for each possible antigen.
   


   


   


Artificial Immune Systems

The new field of Artificial Immune Systems, (or Immunological Computation, Immune Algorithms, Immune-based Systems) attempts to use methods and concepts from Immunology to design immunity-based system applications in science and engineering. The Immune Algorithms (IAs) are complex adaptive systems in which learning takes place by evolutionary mechanisms similar to biological evolution.

References


[Introduction] - [People] - [Publications] - [Research] - [Projects] - [Events] - [Teaching] - [The Giants] - [Contact] .


Copyright 2002-2012, Giuseppe Nicosia.
Giuseppe Nicosia, Optimization, Combinatorial Optimization, Numerical Optimization, Non Linear Optimization, Large Scale Optimization, Evolutionary Algorithms, Genetic Algorithms, Immune Algorithms, Artificial Immune Systems, Graph Coloring, String Folding, NP-complete problems, Circuit Optimization, Circuit Design, Design For Yield, Device Optimization, Bioinformatics, Structural Bioinformatics, Protein Folding, Protein Structure Prediction, HP model.