A heuristic detector generation algorithm for negative selection algorithm with hamming distance partial matching rule

Authors:
Wenjian Luo;Zeming Zhang;Xufa Wang
Affiliations:
Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China;Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China
Venue:
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Year:
2006

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Abstract

Negative selection algorithm is one of the most important algorithms inspired by biological immune system. In this paper, a heuristic detector generation algorithm for negative selection algorithm is proposed when the partial matching rule is Hamming distance. Experimental results show that this novel detector generation algorithm has a better performance than traditional detector generation algorithm.