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.
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Luo, W., Zhang, Z., Wang, X. (2006). A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule. In: Bersini, H., Carneiro, J. (eds) Artificial Immune Systems. ICARIS 2006. Lecture Notes in Computer Science, vol 4163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823940_18
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DOI: https://doi.org/10.1007/11823940_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37749-8
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