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Evolutionary Intelligence

, Volume 1, Issue 2, pp 83–84 | Cite as

Special issue on artificial immune systems

  • Uwe Aickelin
Editorial

Artificial Immune Systems (AISs) are a relatively new area of research at the inter-disciplinary interface between Computer Science, Engineering and Life Sciences [1]. Like other similar endeavors, for instance genetic algorithms or neural networks, their basic premise is to look at the way the natural system works, extract models and algorithms and then apply these to real-world problems.

Early AIS algorithms mainly borrowed from three immunological concepts: Clonal Expansion, Negative Selection and Idiotypic networks. Clonal Expansion is a process taking place in the lymph nodes whereby useful immune cells undergo rapid expansion in numbers to counter an ongoing attack on the immune system. The closer immune cells match the threat, the more they are copied and the less they match the more likely they will be mutated. Although these concepts sound quite different from other nature inspired techniques, in practice the implementation of this algorithm is rather similar to an...

References

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.School of Computer ScienceUniversity of NottinghamNottinghamUK

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