基于免疫的图形识别算法

Graph Identification Algorithm based on Immune

本文提出了一种新型的基于免疫的图形识别模型并给出了相应的算法设计,定量的刻画了抗原、最佳抗体、成熟抗体、记忆抗体、免疫周期之间的演化情况,阐明了抗原提取、抗体特征库、成熟抗体、记忆抗体的产生方法,以及如何在解空间引入竞争机制.文章最后分析了此算法的时间复杂度.

This paper puts forward a newly graph identification model based on immune and gives the algorithm design accordingly. It describes the evolving conditions among antigen, optimal antibody,mature antibody, memory antibody and immune cycle quantitatively. It sets forth APC, antibody feature pool, mature antibody, and the way of producing memory body and how to introduce competition mechanism in solution spaces. Finally, it analyzes the time complexity of this algorithm.