A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule

摘要

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.