Using a threshold function to determine the status of lymphocytes in the artificial immune system

Authors:
A. J. Graaff;A. P. Engelbrecht
Affiliations:
Department of Computer Science, Computational Intelligence Research Group (CIRG), School of Information Technology, University of Pretoria, Pretoria 0002, South Africa;Department of Computer Science, Computational Intelligence Research Group (CIRG), School of Information Technology, University of Pretoria, Pretoria 0002, South Africa
Venue:
SAICSIT '03 Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
Year:
2003

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Abstract

The artificial immune system (AIS) can be seen as a pattern recognition system. The AIS consists of artificial lymphocytes (ALC) that classify any pattern either as part of a predetermined set of patterns or not. It is possible for an ALC to classify more than one pattern and even classify a pattern better than other ALCs. The ALCs that never classify any pattern need to be replaced by newly created ALCs. It is therefore important to know what ALCs need to be replaced so that ALCs with a better classification are kept. This paper proposes a threshold function to determine which ALCs need to be replaced.