Timmis, J. and Hone, A.N.W. and Stibor, T. and Clark, E. (2008) Theoretical advances in artificial immune systems. Theoretical Computer Science, 403 (1). pp. 11-32. ISSN 0304-3975.
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Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing. Biological models of the natural immune system, in particular the theories of clonal selection, immune networks and negative selection, have provided the inspiration Cor AIS algorithms. Moreover, such algorithms have been successfully employed in a wide variety of different application areas. However, despite these practical successes, until recently there has been a dearth of theory to justify their Use. In this paper, the existing theoretical work oil AIS is reviewed. After the presentation of a simple example of each of the three main types of AIS algorithm (that is, clonal selection, immune network and negative selection algorithms respectively), details of the theoretical analysis for each of these types are given. Some of the future challenges in this area are also highlighted.
|Uncontrolled keywords:||artificial immune systems; clonal selection; negative selection; immune networks; Markov chains; k-CNF satisfiability|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Applied Mathematics|
|Depositing User:||Louise Dorman|
|Date Deposited:||12 May 2009 13:30|
|Last Modified:||16 Dec 2011 11:23|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/15264 (The current URI for this page, for reference purposes)|
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