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).
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).
摘要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。