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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Luo, W., Zhang, Z., & Wang, X. (2006). A heuristic detector generation algorithm for negative selection algorithm with hamming distance partial matching rule. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4163 LNCS, pp. 229–243). Springer Verlag. https://doi.org/10.1007/11823940_18
Mendeley helps you to discover research relevant for your work.