In this paper, negative selection algorithm for artificial immune system (AIS) is improved by adopting genetic algorithm, in which Euclidean distance is selected as fitness function, to generate detectors (antibodies).
将人工免疫系统的反面选择算法作了改进,在产生检测器时,利用了遗传算法,并将欧几里德距离作为遗传算法中的适应函数。