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。
本站部份资料来自网络或由网友提供,如有问题请速与我们联系,我们将立即处理!
Copyright © 2013-2024 杭州优配网络科技有限公司 All Rights Reserved 浙ICP备20019715号
免责声明:本站非营利性站点,以方便网友为主,仅供学习。合作/投诉联系QQ:1553292129